NSW INJURY PROFILE: During to

Size: px
Start display at page:

Download "NSW INJURY PROFILE: During to"

Transcription

1 I R M R C N S W I n j u r y R i s k Management Research centre NSW INJURY PROFILE: A Review of Injury Hospitalisations During to Andrew Hayen and Rebecca Mitchell NSW Injury Risk Management Research Centre The University of New South Wales Sydney, Australia ISBN June 2006

2 Copyright The University of New South Wales. Suggested citation: Hayen, A. Mitchell, R. NSW Injury Profile: A Review of Injury Hospitalisations During to Sydney: NSW Injury Risk Management Research Centre, The University of New South Wales, 2006.

3 contents / Contents List of Tables iii List of Figures vi Abbreviations viii Acknowledgements ix Executive Summary xi 1. Introduction 1 2. Methods Definitions Injury Injury mechanism Injury hospitalisation Population data source Injury data coding issues Analysis Top 10 causes of hospitalisation for NSW residents Time trends Age- and sex-specific rates Injury mechanism subcategory-specific frequencies and rates 7 3. Injury hospitalisations in NSW 8 4. Falls Motor vehicle transport Struck by or struck against injuries Self-harm Cut or pierce-related injuries Interpersonal violence Poisoning Non-motor vehicle road transport Natural and environmental factors 45

4 ii / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to Foreign bodies Fire and burns Machinery injuries Near-drowning Conclusions and recommendations References 70 Appendix 1. List of Ecodes by mechanism 72 Appendix 2. List of disease and injury categories for top 10 causes of hospitalisation 73 Appendix 3. List of Ecodes by injury mechanism and injury mechanism subcategory 74 Appendix 4. Age-specific rates of hospitalisation by age group and mechanism 77

5 list of tables / iii List of tables Table 1. Significant changes in injury-related hospitalisation rates by mechanism, NSW, to xii Table 2. Top 10 leading causes of hospitalisation by age group, NSW, to Table 3. Injury hospitalisations by mechanism in NSW, number, rate and CI, to Table 4. Injury hospitalisations by fall submechanism, NSW, number, rate and CI, to Table 5. Number of hospitalisations for falls by age group and cause, NSW, to Table 6. Injury hospitalisations by motor vehicle transport road user class, NSW, number, rate and CI, to Table 7. Number of hospitalisations for motor vehicle transport incidents by age group and cause, NSW, to Table 8. Injury hospitalisations by struck by/struck against injury cause, NSW, number, rate and CI, to Table 9. Number of hospitalisations for struck by/struck against injuries by age group and cause, NSW, to Table 10. Injury hospitalisations by method of self-harm, NSW, number, rate and CI, to Table 11. Number of hospitalisations for self-harm by age group and cause, NSW, to Table 12. Injury hospitalisations by cut/pierce injury cause, NSW, number, rate and CI, to Table 13. Number of hospitalisations for cut/pierce injuries by age group and cause, NSW, to Table 14. Injury hospitalisations by interpersonal violence method, NSW, number, rate and CI, to Table 15. Number of hospitalisations for interpersonal violence by age group and cause, NSW, to

6 iv / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to Table 16. Injury hospitalisations by poisoning substance, NSW, number, rate and CI, to Table 17. Number of hospitalisations for poisoning by age group and cause, NSW, to Table 18. Injury hospitalisations by non-motor vehicle road transport-related cause, NSW, number, rate and CI, to Table 19. Number of hospitalisations for non-motor vehicle road transport-related injuries by age group and cause, NSW, to Table 20. Injury hospitalisations by natural and environmental factor-related cause, NSW, number, rate and CI, to Table 21. Number of hospitalisations for natural and environmental factor-related injuries by age group and cause, NSW, to Table 22. Injury hospitalisations for foreign bodies, NSW, number, rate and CI, to Table 23. Number of hospitalisations for foreign body-related injuries by age group, NSW, to Table 24. Injury hospitalisations by fire/burns type, NSW, number, rate and CI, to Table 25. Number of hospitalisations for injury due to fire/burns by age group and cause, NSW, to Table 26. Injury hospitalisations by machinery-related cause, NSW, number, rate and CI, to Table 27. Number of hospitalisations for machinery-related injuries by age group and cause, NSW, to Table 28. Injury hospitalisations by near-drowning location, NSW, number, rate and CI, to Table 29. Number of hospitalisations for near-drowning by age group and cause, NSW, to Table 30. Significant changes in injury-related hospitalisation rates by mechanism, NSW, to

7 list of tables / v Table 31. Age-specific rates of hospitalisation per 100,000 population by age group and mechanism for all persons, NSW, to Table 32. Age-specific rates of hospitalisation per 100,000 population by age group and mechanism for males, NSW, to Table 33. Age-specific rates of hospitalisation per 100,000 population by age group and mechanism for females, NSW, to

8 vi / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to List of figures Figure 1. Injury hospitalisation rates by sex, NSW, to Figure 2. Injury hospitalisation rates by age group and sex, NSW, to Figure 3. Hospitalisation rate for injury due to falls by sex, NSW, to Figure 4. Age-specific hospitalisation rate for falls by sex, NSW, to Figure 5. Hospitalisation rate for injury due to motor vehicle transport by sex, NSW to Figure 6. Age-specific hospitalisation rate for motor vehicle transport by sex, NSW, to Figure 7. Hospitalisation rate for injury due to struck by/struck against injuries by sex, NSW to Figure 8. Age-specific hospitalisation rate for struck by/struck against injuries by sex, NSW, to Figure 9. Hospitalisation rate for injury due to self-harm by sex, NSW to Figure 10. Age-specific hospitalisation rate for self-harm by sex, NSW, to Figure 11. Hospitalisation rate for injury due to cut/pierce injuries by sex, NSW to Figure 12. Age-specific hospitalisation rate for cut/pierce injuries by sex, NSW, to Figure 13. Hospitalisation rate for injury due to interpersonal violence by sex, NSW to Figure 14. Age-specific hospitalisation rate for interpersonal violence by sex, NSW, to Figure 15. Hospitalisation rate for injury due to poisoning by sex, NSW to

9 list of figures / vii Figure 16. Age-specific hospitalisation rate for poisoning by sex, NSW, to Figure 17. Hospitalisation rate for injury due to non-motor vehicle road transport-related injuries by sex, NSW to Figure 18. Age-specific hospitalisation rate for non-motor vehicle road transport-related injuries by sex, NSW, to Figure 19. Hospitalisation rate for injury due to natural and environmental factor-related injuries by sex, NSW to Figure 20. Age-specific hospitalisation rate for natural and environmental factor-related injuries by sex, NSW, to Figure 21. Hospitalisation rate for injury due to foreign body-related injuries by sex, NSW to Figure 22. Age-specific hospitalisation rate for foreign body-related injuries by sex, NSW, to Figure 23. Hospitalisation rate for injury due to fire/burns by sex, NSW to Figure 24. Age-specific hospitalisation rate for injury due to fire/burns by sex, NSW, to Figure 25. Hospitalisation rate for injury due to machinery-related injuries by sex, NSW to Figure 26. Age-specific hospitalisation rate for machinery-related injuries by sex, NSW, to Figure 27. Hospitalisation rate for injury due to near-drowning by sex, NSW to Figure 28. Age-specific hospitalisation rate for near-drowning by sex, NSW, to

10 viii / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to Abbreviations ABS CI Ecode HOIST ICD ICD-10 ICD-10-AM ICD-9 ICD-9-CM IPV IRMRC ISC MV MVT NCC NCCH Ncode NEC NEF NSW WHO Australian Bureau of Statistics Confidence interval External cause of injury code Health Outcomes and Information Statistical Toolkit International Classification of Disease International Classification of Diseases and Related Health Problems, 10 th Revision International Classification of Disease, 10 th Revision, Australian Modification International Classification of Disease, 9 th Revision International Classification of Disease, 9 th Revision, Clinical Modification Interpersonal violence NSW Injury Risk Management Research Centre Inpatient Statistics Collection Motor vehicle Motor vehicle transport National Coding Centre National Centre for Classification in Health Nature of medical condition or injury Not elsewhere classified Natural and environmental factors New South Wales World Health Organization

11 / ix Acknowledgements The NSW Injury Risk Management Research Centre (IRMRC) is funded by the NSW Department of Health, the NSW Roads and Traffic Authority, and the NSW Motor Accidents Authority and supported by the University of New South Wales. Production of this report was funded through the IRMRC s core research program. The Centre for Epidemiology and Research of the NSW Department of Health provided the data used in this report, which were accessed via HOIST. We are also grateful for the use of some SAS macros developed by the Centre for Epidemiology and Research. Comments on the draft report were received from: Pam Albany, NSW Department of Health Kwame Atsu, Motor Accidents Authority Caroline Finch, NSW Injury Risk Management Research Centre Gwen Cosier, NSW Department of Health Andrew Graham, Roads and Traffic Authority Claire Monger, NSW Department of Health Maureen Owen, NSW Department of Health

12

13 EXECUTIVE SUMMARY / xi Executive Summary This report provides an overview of injury-related hospitalisations of NSW residents during to Injury-related morbidity data for this report were obtained from the NSW Inpatient Statistics Collection of the NSW Health Department. This report describes in detail the 12 most common injury-related mechanisms which represent 85.1% of injury-related hospitalisations, along with neardrowning events that resulted in hospitalisation. Injury, poisoning and certain other consequences of external causes represent a large proportion of all admissions to hospital for NSW residents, and were the sixth highest cause of hospitalisation for NSW residents for all age groups during to During this period, there were 503,530 admissions to hospital that were injury-related, giving a hospitalisation rate of 1,523 per 100,000 population. Males had one-and-a-half times the injury hospitalisation rate of females. Individuals 65 years and older (predominantly for fall-related injuries) and years (particularly for motor vehicle transport and fall-related injuries) had the highest hospitalisation rates compared to all other age groups. Falls, motor vehicle transport-related injuries, struck by/struck against injuries, injuries resulting from self-harm, cut/pierce injuries, and injuries resulting from interpersonal violence were the most common injury-related hospitalisations during to Over the period to , the overall injury rate remained fairly constant. However, yearly hospitalisation rates significantly decreased or increased for a number of injury mechanisms (Table 1). Priority areas identified for prevention activities are: falls motor vehicle transport incidents struck by/struck against injuries injuries sustained during an attempt at self-harm cut/pierce-related injuries injuries as a result of interpersonal violence.

14 xii / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to Table 1. Significant changes 1 in injury-related hospitalisation rates by mechanism, NSW, to Injury Mechanism Males Females Falls Motor vehicle transport Struck by/against Self-harm Cut/pierce - Interpersonal violence Poisoning Non-motor vehicle road transport - Natural/environmental factors Foreign bodies - Fire and burns Machinery Near-drowning All injury An upwards facing arrow indicates a significant increase and a downwards facing arrow indicates a significant decrease. A dash indicates no significant trend.

15 EXECUTIVE SUMMARY/ xiii Recommendations to enhance the information collected regarding particular injury mechanisms include: recording the date of injury incorporating additional detail into the ICD-10-AM classification system for injuries resulting from: - falls - foreign bodies - fire and burns - struck by/struck against injuries - cutting/piercing injuries.

16

17 Introduction / 1 1 Introduction Injuries are a significant public health issue with over five million injury-related deaths worldwide each year (Krug et al, 2000). In Australia, injury is the leading cause of death for individuals aged 44 years or less (Kreisfeld and Harrison, 2005). Around 2,500 individuals are fatally injured in New South Wales (NSW) each year (Schmertmann et al, 2004). While injury-related mortality represents a portion of the injury burden in NSW, many more individuals are hospitalised in NSW following an injury. Together lifetime injury-related mortality and morbidity were estimated to cost $3.53 billion in NSW during (Potter-Forbes and Aisbett, 2003). Injuries are preventable occurrences and through examining their frequency and causes, appropriate injury prevention strategies can be developed. There has been a range of interventions developed that are effective in preventing injuries, such as changes in legislation, regulation or policies, improved enforcement, environmental changes, improvements in design, and changes in individual behaviour (National Injury Prevention Advisory Council, 1999). The prevention of injury-related morbidity and associated disability in the community leads to cost savings in both direct and indirect costs associated with these incidents, including cost savings associated with medical treatment and long term care (Miller and Levey, 2000). Access to information on hospitalised injury and detailed analysis and reporting of this information assists in establishing the magnitude of hospitalised injury and in the identification of areas for injury prevention activities. This report provides an overview of the causes of hospitalisation for NSW residents. It describes the trend of hospitalised injury of NSW residents for selected injury mechanisms from to , and presents a detailed analysis of select injury mechanisms during to

18 2 / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to

19 METHODS / 3 2 Methods 2.1 Definitions The following sections present the case definitions of injury, injury mechanism and morbidity used for the purposes of this report Injury According to Robertson (1998), An injury results when too much or too little energy (in the case of asphyxiation) is transferred to the human body, at rates or amounts that are above or below the tolerance of human tissues, resulting in damage. The World Health Organization (WHO) defines an injury similarly. An injury is a bodily lesion at the organic level resulting from acute exposure to energy (this energy can be mechanical, thermal, electrical, chemical, or radiant) interacting with the body in amounts or rates that exceed the threshold of physiological tolerance (Peden et al, 2001). Section outlines the criteria used for putting into practice the definitions of injury used in this report. In order to recognise the physical nature of an injury (e.g. a broken leg) and the external cause of the injury (e.g. a fall), two separate sets of codes were developed by WHO as part of its work on an International Classification of Disease (ICD) coding structure (WHO, 1977; WHO, 1992). One set, known as diagnostic codes or Ncodes, describes the physical nature of an injury and provides important information from a clinical standpoint. The other set, known as external cause codes or Ecodes, provides important information for prevention purposes, by identifying the type of energy that caused the physical injury. Section describes the case selection process using these codes for this report Injury mechanism Injuries are usually classified in terms of their external cause and intent. An injury mechanism (represented by an Ecode) is defined as the external object or circumstance that caused the injury, such as motor vehicle transport or drowning. The intent can be unintentional, intentional or undetermined. For example, the intent of an injury caused by a firearm could be unintentional, intentional (e.g. homicide, self-harm) or not able to be determined. Injury mechanisms that are intentional are either self-inflicted or inflicted by another person or persons. All injuries that are intentionally self-inflicted are grouped under an injury mechanism called self-harm. For example, a poisoning that is self-inflicted is considered to be self-harm and is therefore separated from poisonings that have occurred unintentionally. However, for this report, if the individual was aged less than 10 years the ingestion of a poisonous substance(s) was not considered to be a self-harm event and was included in the other injuries category as a young child s understanding of the concept of

20 4 / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to death and living is thought to be immature (Mishara, 1999). All injuries that are intentionally inflicted by another person or persons are grouped under an injury mechanism called interpersonal violence. Injury caused by the intentional use of a firearm on another person is considered to be interpersonal violence and is therefore separate from unintentional firearm injuries. Thirteen injury mechanisms are described in this report. Twelve of the mechanisms each resulted in more than 2,000 hospitalisations of NSW residents during to , and accounted for 85.1% of injury-related hospitalisations. The remaining injury mechanism, near-drowning, resulted in fewer than 2,000 hospitalisations over this period, but is regarded as a national priority area and is included in this report (Australian Water Safety Council, 2004). The International Classification of Disease, version 9 clinical modification (ICD-9-CM) and the International Classification of Diseases, version 10 Australian modification (ICD-10-AM) Ecodes for the injury mechanisms included in this report are listed in Appendix 1. During the period of the report, various editions of ICD-10-AM were used to code hospital separations in NSW Injury hospitalisation Hospitalisation data were obtained from the NSW Inpatient Statistics Collection (ISC), a census (since July 1, 1993) of all services for admitted patients to public and private hospitals, private day procedures, and public psychiatric hospitals. The ISC is a financial year collection from 1 July through to 30 June of the following year. The ISC is maintained by the NSW Department of Health. Data were obtained via the Health Outcomes and Information Statistical Toolkit (HOIST). The ISC also contains data on hospitalisations of NSW residents that occurred in another state. However, these data were not available for The number of interstate hospitalisations for this year was imputed based on hospitalisations for the previous three years. Details of the method used may be found in the The health of the people of NSW: Report of the Chief Health Officer (Population Health Division, 2004). Data for and following years are for episodes of care in hospital, which end with the discharge, transfer or death of the patient, or when the service category for the admitted patient changed. Data for the years to are for periods of stay. Periods of stay end with the discharge, transfer, or death of the patient. The change from period of stay to episodes of care may cause a small rise in the apparent number of hospitalisations in the later years. Since , ISC data have been coded using the ICD-10-AM (National Centre for Classification in Health, 2000). For the years to , ISC data were coded using ICD-9-CM (National Coding Centre, 1996).

21 METHODS / 5 Hospitalisations that satisfied the following criteria were included in the report: The hospitalisation was for a patient who was a resident of NSW A principal diagnosis in the ICD-10-AM range S00-T98 ( to ) or in the ICD-9-CM range (for to ) An external cause code in the ICD-10-AM range V01-Y39 or Y85-Y98 ( to ) or in the ICD-9-CM range E800-E869, E880-E929, E950-E999 (for to ). In addition, hospital separations relating to transfers or statistical discharges were excluded. This was to partly eliminate multiple counts, which occur when an injured person has more than one hospitalisation for a given injury. In Table 2, hospitalisations with a principal diagnosis in the ICD-10-AM range S00-T98 and with an external cause of complications of care (ICD-10-AM: Y40-Y84, Y88; ICD-9-CM: E870-E879, E930- E948) are also included, along with those described above. These hospitalisations (i.e. including complications of care ) are referred to as Injury, poisoning and certain other consequences of external causes to distinguish these analyses from those presented in the rest of this report. Data in this report include 16,974 NSW residents who died whilst hospitalised due to injury, poisoning and certain other consequences of external causes between and Population data source Age- and sex-specific population estimates as at 30 December of each year were obtained from the NSW Department of Health. These estimates are based on the Australian Bureau of Statistics (ABS) population estimates as at 30 June. More detail regarding ABS population estimates may be found in The Health of the People of NSW: Report of the Chief Health Officer (Population Health Division, 2004) Injury data coding issues The data used in this report span a change in the coding scheme used to classify injury and disease. The ICD was initially formalised in Since 1948, it has been revised in its entirety approximately every 10 years by WHO. The two ICD revisions covered in this report are ICD-9-CM (NCC, 1996), which was in use in the ISC from to , and ICD-10-AM (NCCH, 2000) used from onward. In ICD-10 alphanumeric codes were introduced (e.g. A37, R01) to represent an injury or disease, superseding the numeric codes (e.g. 125, 802) used in ICD-9. The external cause of injury codes have been included within the alphanumeric structure of ICD-10, as opposed to the separate scheme in ICD-9 (i.e., use of E800-E999).

22 6 / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to At the time of separation from hospital, a consequence or nature of injury code is assigned by a medical coder on the patient s medical record. In ICD-9, there was a specific Ncode for each injury (i.e., ) and the codes were organised by the type of injury (e.g. fracture, dislocation). In ICD-10, a unique Ncode still exists, but the codes are organised by the location of the body part injured (e.g. head) instead of the type of injury. For each injury Ncode and a few other disease Ncodes, an external cause of injury code (Ecode) must also be supplied to identify the cause or mechanism of the injury (e.g. drowning, fall, burn). Two major changes regarding Ecodes occurred between ICD-9 and ICD-10. In ICD-9, the person injured in a transport incident (e.g. motor vehicle) was secondary to the type of incident (e.g. collision with other motor vehicle). However, in ICD-10, the coding structure focuses firstly on the person injured and secondly on the type of incident. The second change in ICD-10 was the introduction of codes for the place where the injury occurred (e.g. home) and the activity at the time of the injury (e.g. playing sport). 2.2 Analysis Each of the following sections briefly describes the types of analysis conducted using the hospitalisation data. Three types of epidemiological analyses were conducted: number of hospitalisations age- and sex-specific rate of hospitalisations age-adjusted rates of hospitalisations. Age-specific rates were calculated by dividing the number of hospitalisations for a particular age group (e.g. under five years) by the population of the age group. Rates are presented as the number of hospitalisations per 100,000 population, except in the case of self-harm where rates are presented as the number of hospitalisations per 100,000 population aged 10 years or older. Age-adjustment is used to adjust for the effects of differences in the age-composition of populations across time or geographic region. In this report, age-adjustment was calculated using direct agestandardisation. An age-adjusted rate is a weighted sum of age-specific rates, where each weight is an age-specific population in the standard population. The estimated Australian residential population as at 30 June 2001 was used in this report as the standard population. Confidence intervals were calculated using the method of Dobson et al (1991). The following analyses are provided in this report Top 10 causes of hospitalisation for NSW residents All hospitalisations for to were grouped into disease and injury categories, using the principal diagnosis. The disease categories were based on the disease chapter headings in ICD-10.

23 METHODS / 7 The list of disease and injury categories used is at Appendix 2. The top 10 causes of hospitalisation tables were generated by ranking the frequencies of each disease and injury by age group. The following age groups were used to present frequencies for the top 10 leading causes of hospitalisation tables: under 1, 1 4, 5 9, 10 14, 15 24, 25 34, 35 44, 45 54, 55 64, and 65+ years. Note that the numbers of injury hospitalisations in the top 10 causes of hospitalisation table (Table 2) will differ substantially from those given in the rest of the report, because this table includes all hospitalisations with a principal diagnosis of injury, poisoning and certain other consequences of external causes. However, in the rest of this report, those hospitalisations with a principal diagnosis of injury, poisoning and certain other consequences of external causes must also have an external cause code in the range in the ICD-10-AM range V01-Y39, Y85-Y87 or Y89-Y98 ( to ) or in the ICD-9-CM range E800-E869, E880-E929, E950-E999 (for to ) to be considered as an injury-related hospitalisation (see section 2.1.3) Time trends Age-adjusted rates for each injury mechanism were calculated annually from to A Poisson or negative binomial regression analysis (with population as an offset) was performed to examine the statistical significance of changes in the trend over the time period, and to calculate the annual percentage change in the rate of hospitalisations. This method takes into account changes in the age-structure of the population. Because of coding changes and changes in admission practices of hospitals, caution needs to be exercised in the interpretation of these trends Age- and sex-specific rates Age and sex-specific rates for five-year age groups were calculated for each injury mechanism for to and presented by sex and age group Injury mechanism subcategory-specific frequencies and rates The total number of hospitalisations for to for each injury mechanism was divided into subcategories specific to each injury mechanism. The list of injury mechanism subcategories by Ecode is at Appendix 3. The period to was chosen because hospital separations throughout this period were coded according to ICD-10-AM. Frequencies for the injury mechanism subcategories were also ranked by age group and presented in a Top 10 table format. The following age groups were used to present frequencies for the top 10 leading causes of injury hospitalisation tables: under 1, 1 4, 5 9, 10 14, 15 24, 25 34, 35 44, 45 54, 55 64, and 65+ years. Frequencies and rates for all persons, males and females were also calculated for each injury mechanism. This information was presented in a table and the subcategories were ranked by the number of hospitalisations in each subcategory.

24 8 / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to Injury hospitalisations in NSW During the period to , injury, poisoning and certain other consequences of external causes were the sixth leading cause of hospitalisation of all NSW residents (Table 2). Injury, poisoning and certain other consequences of external causes were the leading cause of hospitalisation in those aged years, the second leading cause of hospitalisation in those aged 5 9 years, and the third leading cause in those aged 1 4 years and years. Injury, poisoning and certain other consequences of external causes were one of the top 10 leading causes of hospitalisation in all age groups. There were 606,954 hospitalisations with a principal diagnosis of injury, poisoning and certain other consequences of external causes during this period, which represented 6.3% of all hospitalisations. Data from to were used to describe the profile of injury-related hospitalisations for NSW residents. Hospitalisation data from to were used in the majority of the analyses, except for the trend analyses, which used hospitalisation data from to Hospitalisations for which the external cause was a complication of care are not reported in the following analyses. Over the period to , there was no significant trend in the age-adjusted hospitalisation rate for injury (Figure 1). Hospitalisation rates for injury in males were significantly higher than those in females for every year in this period. Figure 1. Injury hospitalisation rates by sex, NSW, to Rate per 100, Males Females Year

25 Injury Hospitalisations in NSW / 9 table 2. top 10 leading causes of hospitalisation by age group 1, nsw, to Age group Age group Rank < Total 1 2 Factors affecting health status 289,309 Perinatal conditions 129,082 3 Congenital Abnormalities ,214 Respiratory diseases 34,241 Ill-defined conditions 23,226 Infectious diseases 16,042 7 Diseases of the digestive system 8 7,808 Genitourinary disease 5,197 9 Injury, poisoning and certain other consequences of external causes 10 4,002 Mental disorders 3,354 Respiratory diseases 79,118 Infectious diseases 41,191 Injury, poisoning and certain other consequences of external causes 29,162 Diseases of the ear 22,528 Ill-defined conditions 22,200 Diseases of the digestive system 18,692 Factors affecting health status 16,156 Congenital Abnormalities 13,920 Genitourinary disease 9,634 Nervous system diseases 7,420 Respiratory diseases 39,740 Injury, poisoning and certain other consequences of external causes 31,784 Diseases of the digestive system 21,116 Diseases of the ear 15,867 Infectious diseases 15,867 Factors affecting health status 11,872 Ill-defined conditions 10,408 Mental disorders 9,499 Congenital Abnormalities 7,252 Nervous system diseases 7,146 Injury, poisoning and certain other consequences of external causes 36,659 Diseases of the digestive system 20,490 Respiratory diseases 18,414 Mental disorders 12,840 Ill-defined conditions 10,690 Factors affecting health status 10,199 Skin diseases 7,138 Musculoskeletal 7,066 Infectious diseases 6,840 Cancer 5,835 Pregnancy 155, 576 Diseases of the digestive system 105,441 Injury, poisoning and certain other consequences of external causes 96,412 Mental disorders 61,641 Factors affecting health status 45,863 Genitourinary disease 37,978 Respiratory diseases 37,126 Ill-defined conditions 34,634 Musculoskeletal 33,570 Skin diseases 21,400 Pregnancy 398,268 Factors affecting health status 125,492 Diseases of the digestive system 115,463 Injury, poisoning and certain other consequences of external causes 85,484 Genitourinary disease 80,629 Mental disorders 73,196 Musculoskeletal 48,204 Ill-defined conditions 47,791 Respiratory diseases 30,312 Cancer 27,218 Factors affecting health status 187,319 Diseases of the digestive system 142,753 Pregnancy 129,734 Genitourinary disease 101,985 Injury, poisoning and certain other consequences of external causes 73,285 Mental disorders 69,042 Musculoskeletal 66,930 Ill-defined conditions 62,311 Cancer 56,018 Diseases of circulatory system 41,997 Factors affecting health status 229,991 Diseases of the digestive system 180,880 Genitourinary disease 96,805 Cancer 96,489 Musculoskeletal 83,598 Diseases of circulatory system 78,685 Ill-defined conditions 77,352 Mental disorders 63,877 Injury, poisoning and certain other consequences of external causes 61,568 Nervous system diseases 35,315 Factors affecting health status 327,087 Diseases of the digestive system 186,323 Cancer 125,831 Diseases of circulatory system 113,257 Musculoskeletal 87,557 Ill-defined conditions 78,814 Genitourinary disease 75,911 Injury, poisoning and certain other consequences of external causes 50,477 Respiratory diseases 45,522 Mental disorders 37,593 Factors affecting health status 821,799 Diseases of circulatory system 363,239 Diseases of the digestive system 326,239 Cancer 218,653 Diseases of the eye 230,143 Ill-defined conditions 181,100 Respiratory diseases 168,040 Musculoskeletal 153,310 Injury, poisoning and certain other consequences of external causes 138,121 Genitourinary disease 136,763 Factors affecting health status 2,066,087 Diseases of the digestive system 1,125,187 Pregnancy 685,587 Cancer 657,684 Diseases of circulatory system 626,927 Injury, poisoning and certain other consequences of external causes 606,954 Genitourinary disease 556,867 Ill-defined conditions 548,527 Respiratory diseases 515,487 Musculoskeletal 487,887 1 The number of injury, poisoning and consequences of external causes hospitalisations includes a small proportion of hospitalisations with a principal diagnosis of injury (S00-T98) that did not have an external cause assigned.

26 10 / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to The hospitalisation rate was higher for males for all ages up to 70 years of age. For those aged 70 years or older, females had a higher hospitalisation rate than males (Figure 2). Rates of hospitalisation varied by sex, age group and injury mechanism (Appendix 4). Figure 2. Injury hospitalisation rates by age group and sex, NSW, to Rate per 100, Males Females Age-group (years) Falls, motor vehicle-related incidents and struck-by/struck against incidents were the most common causes of injury hospitalisation in the period to (Table 3). Hospitalisation rates of males were higher for all injury mechanisms than the rates of females, except for self-harm, where the female rate was significantly higher than the male rate. The injury hospitalisation rate for males was about 55% higher than the rate for females during to During to , just over 12% of injury hospitalisations (12.4% or 62,283 hospitalisations) were intentional (i.e. self-harm or interpersonal violence), and less than 1% (0.5%, or 2,372) of hospitalisations were of undetermined intent. The remainder of injury-related hospitalisations (87.2%, or 438,646 hospitalisations) were due to unintentional injuries.

27 Injury Hospitalisations in NSW / 11 Table 3. Injury hospitalisations by mechanism in NSW, number, rate and CI, to Injury mechanism All Persons Male Female N Rate 1 95%CI 2 N Rate 1 95%CI 2 N Rate 1 95%CI 2 Motor vehicle transport Falls 175, (520.4,525.3) 84, (533.4,540.7) 90, (484.5,491.0) 53, (160.7,163.4) 36, (219.4,224.0) 16, (100.3,103.4) Struck by/against 35, (107.7,109.9) 27, (164.5,168.4) 8, (48.7,50.9) Self-harm 3 32, (113.9,116.4) 12, (89.9,93.1) 19, (137.6,141.5) Cut/pierce 31, (93.6,95.7) 23, (140.8,144.5) 7, (45.3,47.4) Interpersonal violence 29, (89.8,91.8) 23, (140.3,143.9) 6, (37.8,39.8) Poisoning 16, (50.4,51.9) 8, (52.2,54.5) 8, (47.9,50.0) Non-motor vehicle road transport Natural/ environmental factors 15, (45.8,47.3) 10, (60.7,63.1) 4, (30.0,31.8) 13, (41.2,42.6) 8, (49.7,51.9) 5, (32.0,33.8) Foreign bodies 8, (25.6,26.7) 5, (31.0,32.8) 3, (19.8,21.1) Fire and burns 7, (23.5,24.5) 5, (30.7,32.4) 2, (15.8,17.0) Machinery 7, (22.7,23.8) 7, (41.9,43.9) (3.4,4.0) Near-drowning (2.6,3.0) (3.5,4.1) (1.5,1.9) injuries 75, (226.7,230.0) 50, (305.8,311.2) 24, (143.5,147.1) All injury 4 503,301 1,552.9 (1,518.7,1,527.1) 304, (1867.1,1,880.5) 199,202 1,145.6 (1,140.5,1,1150.7) 1 Age-adjusted rate per 100,000 population. 2 95% confidence interval. 3 The rate for self-harm was calculated per 100,000 population aged 10 years of age or older. 4 The number of NSW residents hospitalised interstate during was imputed and as a result the sum of the number of hospitalisations due to injury mechanisms may not equal the all injury total. Summary Injury, poisoning and certain other consequences of external causes was the sixth leading cause of hospitalisation involving NSW residents over the period and , accounting for 6.3% of all hospitalisations. The yearly hospitalisation rate for injuries was stable over the period to and during to the rate of hospitalisation was 1,522.9 per 100,000 population. In , there were 103,640 hospitalisations of NSW residents following an injury, giving a hospitalisation rate of 1,534.9 per 100,000 population. Falls, motor vehicle transport and struck-by/struck against were the injury mechanisms that most commonly led to a hospitalisation during to These were also the most common mechanisms that led to the hospitalisation of males. For females, the most common mechanisms leading to hospitalisation were falls, self-harm, and motor vehicle transport.

28 12 / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to Falls This section describes injury hospitalisations due to unintentional falls. WHO classifies the cause of fall-related hospitalisations by the circumstance in which the fall occurs. The types of falls include falls on the same level (for example, due to tripping, stumbling), from one level to another, from a building or other structure, on stairs, while being carried, and on a ladder/scaffolding (WHO, 1977; WHO, 1992). In NSW, falls were the fourth leading cause of injury-related death during , with 1,093 deaths, giving a mortality rate of 3.4 per 100,000 population (Schmertmann et al, 2004). The lifetime cost of fatal and non-fatal falls in NSW has been estimated at $644 million $333 million in direct costs and $311 million in mortality and morbidity costs (Potter-Forbes & Aisbett, 2003). Data from to were used to describe the profile of hospitalisations due to falls for NSW residents. Hospitalisation data from to were used in the majority of the analyses, except for the trend analyses, which used hospitalisation data from to Falls were the leading cause of injury hospitalisation during to , and accounted for approximately 34.8% of all hospitalisations due to injury (Table 3). During this period, there were 175,077 hospitalisations due to a fall. The age-adjusted hospitalisation rate for fall-related injuries was per 100,000 population. Figure 3 shows the trend in the hospitalisation rate for falls from to The yearly hospitalisation rate was estimated to have increased significantly by 3.0% per year (95% confidence interval: 2.2% to 3.9%) for males and to significantly increase by 1.1% (95% confidence interval for the increase: 0.3% to 2.0%) for females over this period. Figure 4 shows the age-specific hospitalisation rate for falls between and People aged 65 years or older were at greatest risk of being hospitalised for a fall-related injury. Those aged 5 to 14 years also showed a slight increase in hospitalisation rates compared to individuals aged 15 to 65 years. Males had higher rates than females till 49 years, then females 55 years or older had higher hospitalisation rates than men.

29 Falls / 13 Figure 3. Hospitalisation rate for injury due to falls by sex, NSW, to Rate per 100, Males Females Year Falls on the same level were the most common type of fall-related hospitalisations, accounting for nearly half of all fall-related hospitalisations (46.6%). The rate of hospitalisation for males for falls from a building and from ladders and scaffolding were both more than four times higher than the rate for females (Table 4). The age-adjusted hospitalisation rate for males was 10.1% higher than the rate for females between and Figure 4. Age-specific hospitalisation rate for falls by sex, NSW, to Rate per 100, Males Females Age-group (years)

30 14 / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to The types of falls leading to hospitalisation by age group are shown in Table 5. For individuals aged less than 10 years, falls from one level to another were the most common type of fall. For individuals aged 10 years or older, falls on the same level were the most common type of falls leading to hospitalisation. Table 4. Injury hospitalisations by fall submechanism, NSW, number, rate and CI, to Fall submechanism All Persons Male Female N Rate 1 95%CI 2 N Rate 1 95%CI 2 N Rate 1 95%CI 2 Same level 81, (241.4,244.8) 37, (236.3,241.1) 44, (233.3,237.8) One level to another 32, (96.4,98.5) 17, (105.9,109.1) 14, (84.0,86.7) Stairs 12, (37.1,38.4) 5, (32.9,34.8) 7, (40.1,42.0) Building 6, (18.1,19.0) 4, (28.2,29.9) 1, (7.5,8.4) Ladder and scaffolding 6, (17.6,18.5) 5, (30.3,32.0) (5.1,5.8) Fall while being carried (2.1,2.4) (2.1,2.5) (1.9,2.4) Diving or jumping into water (2.0,2.3) (3.0,3.5) (0.8,1.2) and unspecified 35, (102.4,104.6) 13, (89.6,92.7) 21, (107.9,110.9) All 3 175, (520.4,525.3) 84, (533.4,540.7) 90, (484.6,491.0) 1 Age-adjusted rate per 100,000 population. 2 95% confidence interval. 3 The number of NSW residents hospitalised interstate during was imputed and as a result the sum of submechanisms may not equal the total. Summary Falls were the leading cause of hospitalisation due to injury involving NSW residents between and , accounting for 34.8% of all injury-related hospitalisations. The yearly hospitalisation rate for fall-related injuries was estimated to have increased significantly by 3.0% per year for males during to and increase significantly by 1.1% per year in females. In , there were 36,860 hospitalisations of NSW residents following a fall, giving a hospitalisation rate of per 100,000 population. More than two-fifths of those hospitalised following a fall (42.0%) were aged 65 years or older. Falls on the same level, other and unspecified falls, and falls from one level to another were the types of falls that most commonly led to a hospitalisation. Females had higher hospitalisation rates for falls down stairs than males, while males had higher rates of hospitalisation than females for falls from buildings or other structures and ladders and scaffolding. The overall hospitalisation rate for fall-related injuries was 10.1% higher for males than for females.

31 Falls / 15 Table 5. Number of hospitalisations for falls 1 by age group and cause, NSW, to Age group Age group Rank Total 1 One level to another 6,293 2 Same level 2,371 3 Stairs Building Fall while being carried Ladder and scaffolding 56 7 Diving 16 and unspecified 1,231 One level to another 8,229 Same level 4,371 Building 750 Stairs 350 Fall while being carried 79 Ladder and scaffolding 75 Diving 66 and unspecified 1,535 Same level 8,216 One level to another 3,017 Building 464 Stairs 351 Diving 110 Fall while being carried 41 Ladder and scaffolding 32 and unspecified 1,392 Same level 8,329 One level to another 1,535 Building 945 Stairs 833 Ladder and scaffolding 271 Diving 216 Fall while being carried 36 and unspecified 1,525 Same level 5,440 One level to another 1,409 Stairs 1,079 Building 964 Ladder and scaffolding 565 Diving 120 Fall while being carried 19 and unspecified 1,558 Same level 4,541 One level to another 1,543 Stairs 1,272 Ladder and scaffolding 1,015 Building 802 Diving 71 Fall while being carried and unspecified 1,859 Same level 5,352 One level to another 1,614 Stairs 1,598 Ladder and scaffolding 1,289 Building 646 Diving 45 Fall while being carried and unspecified 2,336 Same level 6,580 Stairs 1,538 One level to another 1,436 Ladder and scaffolding 1,270 Building 434 Diving 22 and unspecified 2,690 Same level 36,132 One level to another 7,072 Stairs 4,793 Ladder and scaffolding 1,423 Building 408 Fall while being carried 26 Diving 21 and unspecified 20,868 Same level 81,573 One level to another 32,210 Stairs 12,660 Building 6,079 Ladder and scaffolding 6,011 Fall while being carried 732 Diving 695 and unspecified 35,094 1 Cell sizes represent fewer than five hospitalisations or data have been removed to prevent identification of cell sizes less than five.

32 16 / NSW INJURY PROFILE: A Review of Injury Hospitalisations During to Motor vehicle transport This section describes hospitalisations due to unintentional motor vehicle transport-related injuries. WHO classifies the cause of motor vehicle transport-related hospitalisations according to a number of criteria (WHO, 1977; WHO, 1992). Injury hospitalisations due to motor vehicle transport occur in either traffic situations (i.e., occurring on a public highway or street, which includes both the roadway and other land between property lines (NCCH (2000)) or non-traffic situations (i.e., occurring anywhere other than a public highway or street). Motor vehicle transport-related hospitalisations are also classified according to the type of road user involved (e.g. pedestrian, motorcyclists). Motor vehicle transport road-user classes include motor vehicle occupants (drivers and passengers), motorcyclists (riders and passengers), pedal cyclists, and pedestrians. The person who is injured is usually referred to by both the type of traffic situation (i.e., traffic or non-traffic) of the incident and their road-user class (e.g. pedestrian). In NSW, motor vehicle transport-related incidents were the second leading cause of death in NSW during , with 2,765 deaths, giving a mortality rate of 8.5 per 100,000 population (Schmertmann et al, 2004). The lifetime cost of fatal and non-fatal motor vehicle transport-related incidents in NSW has been estimated at $554 million - $61.6 million in direct costs and $493 million in mortality and morbidity costs (Potter-Forbes & Aisbett, 2003). Motor vehicle transport-related injury hospitalisation data from to were used to describe the profile of motor vehicle-related hospitalisations of NSW residents. Data from to were used in the majority of analyses, except for the trend analysis, which used data from to Motor vehicle transport was the second leading cause of injury hospitalisation for the period to and accounted for 10.6% of all injury hospitalisations (Table 3). During this period, there were 53,211 injury-related hospitalisations following a motor vehicle transport incident, at an age-adjusted hospitalisation rate of per 100,000 population (Table 6). There were approximately 10,642 hospitalisations per year due to motor vehicle transport during to The age-adjusted hospitalisation rate for motor vehicle transport-related injury declined in both males and females during the period to (Figure 5). For males, the age-adjusted hospitalisation rate decreased significantly by 1.0% per year (95% confidence interval for the decrease: 0.4% to 1.5%). For females, the rate of hospitalisation decreased significantly by 1.9% per year during this period (95% confidence interval for the decrease: 1.4% to 2.5%).

Rhode Island. Data Sources:

Rhode Island. Data Sources: Data Sources: Multiple Cause of Death (MCOD) Files, 2009-2013, National Center for Health Statistics. The MCOD file is a census of all deaths in the U.S. and some territories. Five years data were combined

More information

TABLE 1a. Wisconsin Codes Project Inpatient Hospital Injury Report Major Cause of Injury FLORENCE COUNTY 2013

TABLE 1a. Wisconsin Codes Project Inpatient Hospital Injury Report Major Cause of Injury FLORENCE COUNTY 2013 TABLE 1a. Inpatient Hospital Injury Report Major Cause of Injury Maximum Injury Severity Major Cause Number Percent 100,000 Pop Average Sum Average Sum Average Cut/pierce Drown/submersion Fall Hot object/substance

More information

TRAUMATIC BRAIN INJURIES ARIZONA RESIDENTS 2013

TRAUMATIC BRAIN INJURIES ARIZONA RESIDENTS 2013 TRAUMATIC BRAIN INJURIES ARIZONA RESIDENTS 2013 Resources for the development of this report were provided through funding to the Arizona Department of Health Services from the Centers for Disease Control

More information

Delaware. Data Sources:

Delaware. Data Sources: Data Sources: Multiple Cause of Death (MCOD) Files, 2009-2013, National Center for Health Statistics. The MCOD file is a census of all deaths in the U.S. and some territories. Five years data were combined

More information

TABLE 1a. Wisconsin Codes Project Inpatient Hospital Injury Report Major Cause of Injury City of Chippewa Falls 2002

TABLE 1a. Wisconsin Codes Project Inpatient Hospital Injury Report Major Cause of Injury City of Chippewa Falls 2002 TABLE 1a. Inpatient Hospital Injury Report Major Cause of Injury Injured Inpatients Hospital Inpatients Length of Stay Maximum Injury Severity Major Cause Number Percent 100,000 Pop Average Sum Average

More information

Mississippi. Data Sources:

Mississippi. Data Sources: Data Sources: Multiple Cause of Death (MCOD) Files, 2009-2013, National Center for Health Statistics. The MCOD file is a census of all deaths in the U.S. and some territories. Five years data were combined

More information

Unintentional Injury Hospitalization Unintentional Hospitalization continued 1

Unintentional Injury Hospitalization Unintentional Hospitalization continued 1 Hospitalization Hospitalization continued 1 CHA REPORT 2004 Definition/Description: injury can be defined as events in which (1) injury occurs over a relatively short period of time at most, seconds or

More information

SPORT/LEISURE INJURIES IN NEW SOUTH WALES. Trends in sport/leisure injury hospitalisations ( ) and the prevalence of nonhospitalised

SPORT/LEISURE INJURIES IN NEW SOUTH WALES. Trends in sport/leisure injury hospitalisations ( ) and the prevalence of nonhospitalised NSW Injury Risk Management Research Centre, University of New South Wales SPORT/LEISURE INJURIES IN NEW SOUTH WALES Trends in sport/leisure injury hospitalisations (2003-2005) and the prevalence of nonhospitalised

More information

Alaska Native Injury Atlas of Mortality and Morbidity. Prepared by: The Injury Prevention Program and the Alaska Native Epidemiology Center

Alaska Native Injury Atlas of Mortality and Morbidity. Prepared by: The Injury Prevention Program and the Alaska Native Epidemiology Center Alaska Native Injury Atlas of Mortality and Morbidity Prepared by: The Injury Prevention Program and the Alaska Native Epidemiology Center Alaska Native Tribal Health Consortium January 2008 Acknowledgements

More information

Chapter 14. Injuries with a Focus on Unintentional Injuries & Deaths

Chapter 14. Injuries with a Focus on Unintentional Injuries & Deaths Chapter 14 Injuries with a Focus on Unintentional Injuries & Deaths Learning Objectives By the end of this chapter the reader will be able to: Define the term intentionality of injury Describe environmental

More information

Course Outline Introduction to ICD-10 Coding Course

Course Outline Introduction to ICD-10 Coding Course Course Outline Introduction to ICD-10 Coding Course Module 1 An Introduction to Clinical Coding History and Background of the International Classification of Diseases and Related Health Problems Features

More information

2015 United States Fact Sheet

2015 United States Fact Sheet Fact Sheet Unintentional injuries and violence are the leading causes of death, hospitalization, and disability for children ages -. This fact sheet provides a state snapshot of data on the injury-related

More information

From: International Classification of External Causes of Injuries (ICECI), Version 1.2, July 2004, pp 10-14

From: International Classification of External Causes of Injuries (ICECI), Version 1.2, July 2004, pp 10-14 From: International Classification of External Causes of Injuries (ICECI), Version 1.2, July 2004, pp 10-14 Relationship between ICECI and ICD-10 The ICECI is desig to have a role complementary to the

More information

Type of Accident or Manner of Injury Deaths One Year Odds Lifetime Odds. All External Causes of Mortality, V01-Y89, *U01, *U03b 181,586 1,643 21

Type of Accident or Manner of Injury Deaths One Year Odds Lifetime Odds. All External Causes of Mortality, V01-Y89, *U01, *U03b 181,586 1,643 21 Odds of Death Due to Injury, United States, 2006 Type of Accident or Manner of Injury Deaths One Year Odds Lifetime Odds All External Causes of Mortality, V01-Y89, *U01, *U03b 181,586 1,643 21 Deaths Due

More information

2017 CSTE Annual Conference. Analysis and Reporting of Injury-Related Inpatient Hospitalizations Using ICD-10-CM-coded Administrative Billing Data

2017 CSTE Annual Conference. Analysis and Reporting of Injury-Related Inpatient Hospitalizations Using ICD-10-CM-coded Administrative Billing Data 217 CSTE Annual Conference Analysis and Reporting of Injury-Related Inpatient Hospitalizations Using ICD-1-CM-coded Administrative Billing Data Svetla Slavova, PhD Kentucky Injury Prevention and Research

More information

The Burden of Injury in Iowa. County Level Data from

The Burden of Injury in Iowa. County Level Data from The Burden of Injury in Iowa County Level Data from 2009-2013 June 2016 Acknowledgements This report would not have been possible without the support of Binnie Lehew (IDPH), Dr. Corinne Peek-Asa (UI IPRC),

More information

Illinois Emergency Medical Services for Children (EMSC)

Illinois Emergency Medical Services for Children (EMSC) Illinois Emergency Medical Services for Children (EMSC) Authors Ruth Kafensztok, DrPH, IL EMSC Program, Loyola University Medical Center, Maywood, IL Daniel Leonard, MS, IL EMSC Program, Loyola University

More information

Unintentional Fall-Related Injuries among Older Adults in New Mexico

Unintentional Fall-Related Injuries among Older Adults in New Mexico Unintentional Fall-Related Injuries among Older Adults in New Mexico 214 Office of Injury Prevention Injury and Behavioral Epidemiology Bureau Epidemiology and Response Division Unintentional fall-related

More information

Supplementary Table1: Rates per 100,000 population for injury related GP events, ED attendances and inpatient admissions, in Wales.

Supplementary Table1: Rates per 100,000 population for injury related GP events, ED attendances and inpatient admissions, in Wales. Supplementary Table1: Rates per 100,000 population for injury related GP events, ED attendances and inpatient admissions, in Wales. Age Injury Related GP Events 1 01/01/2013-31/12/2013 (Rate per 100,000

More information

Suicide Facts. Deaths and intentional self-harm hospitalisations

Suicide Facts. Deaths and intentional self-harm hospitalisations Suicide Facts Deaths and intentional self-harm hospitalisations 2012 Citation: Ministry of Health. 2015. Suicide Facts: Deaths and intentional self-harm hospitalisations 2012. Wellington: Ministry of Health.

More information

Injury in Ireland / Elaine Scallan... [et al.]

Injury in Ireland / Elaine Scallan... [et al.] Injury in Ireland / Elaine Scallan... [et al.] Item type Authors Rights Report Scallan, Elaine ERHA Downloaded 12-May-2018 02:53:13 Link to item http://hdl.handle.net/10147/46664 Find this and similar

More information

The accident injuries situation

The accident injuries situation Appendix 2. The accident injuries situation Almost 90 % of injury deaths take place in home and leisure Almost 80 % of accidents leading to injury take place in home and leisure Unintentional injuries

More information

IMPLEMENTING THE EXTERNAL CAUSE MATRIX FOR INJURY MORBIDITY NORTH CAROLINA EMERGENCY DEPARTMENT DATA JANUARY 2015 MAY 2015/JANUARY 2016 MAY 2016

IMPLEMENTING THE EXTERNAL CAUSE MATRIX FOR INJURY MORBIDITY NORTH CAROLINA EMERGENCY DEPARTMENT DATA JANUARY 2015 MAY 2015/JANUARY 2016 MAY 2016 IMPLEMENTING THE EXTERNAL CAUSE MATRIX FOR INJURY MORBIDITY NORTH CAROLINA EMERGENCY DEPARTMENT DATA JANUARY 2015 MAY 2015/JANUARY 2016 MAY 2016 A Report on the Transition to ICD-10-CM Prepared by Katherine

More information

MORBIDITY, MORTALITY AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2010

MORBIDITY, MORTALITY AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2010 Crash Outcome Data Evaluation System MORBIDITY, MORTALITY AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2010 Wayne Bigelow Center for Health Systems Research and

More information

Cocaine and Methamphetamine related drug-induced deaths in Australia, 2011

Cocaine and Methamphetamine related drug-induced deaths in Australia, 2011 Cocaine and Methamphetamine related drug-induced deaths in Australia, 2011 Recommended citation: Roxburgh, A. and Burns, L (2015). Cocaine and methamphetamine related drug-induced deaths in Australia,

More information

Isle of Wight Joint Strategic Needs Assessment: Core Dataset 2009

Isle of Wight Joint Strategic Needs Assessment: Core Dataset 2009 Isle of Wight Joint Strategic Needs Assessment: Core Dataset 2009 Domain: Burden of Ill Health Indicator: Hospital Admissions - Top 10 Causes Sub-Domain: Misc Indicator References: JSNA Core Dataset number

More information

INJURIES, DEATHS AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2013

INJURIES, DEATHS AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2013 Crash Outcome Data Evaluation System INJURIES, DEATHS AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2013 Wayne Bigelow Center for Health Systems Research and Analysis

More information

PEDIATRIC SUMMARY REPORT, 2014 EMS & TRAUMA REGISTRIES. Texas Department of State Health Services Injury Epidemiology & Surveillance Branch

PEDIATRIC SUMMARY REPORT, 2014 EMS & TRAUMA REGISTRIES. Texas Department of State Health Services Injury Epidemiology & Surveillance Branch PEDIATRIC SUMMARY REPORT, 2014 EMS & TRAUMA REGISTRIES Texas Department of State Health Services Injury Epidemiology & Surveillance Branch 1 Heidi Bojes, PhD Director, Environmental Epidemiology and Disease

More information

INJURIES, DEATHS AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2011

INJURIES, DEATHS AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2011 Crash Outcome Data Evaluation System INJURIES, DEATHS AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2011 Wayne Bigelow Center for Health Systems Research and Analysis

More information

chapter 10 INJURIES Deaths from injuries are declining, but they are still a major cause of mortality

chapter 10 INJURIES Deaths from injuries are declining, but they are still a major cause of mortality chapter INJURIES Deaths from injuries are declining, but they are still a major cause of mortality Injury is a leading cause of death and hospitalization in Canada especially for those under 2 years of

More information

Trends in fall-related ambulance use and hospitalisation among older adults in NSW from 2006 to 2013: a retrospective, population-based study

Trends in fall-related ambulance use and hospitalisation among older adults in NSW from 2006 to 2013: a retrospective, population-based study SUPPLEMENTARY MATERIAL: Trends in fall-related ambulance use and hospitalisation among older adults in NSW from 2006 to 2013: a retrospective, population-based study Serene S Paul, a,b Lara Harvey, c Therese

More information

Looking Toward State Health Assessment.

Looking Toward State Health Assessment. CONNECTICUT DEPARTMENT OF PUBLIC HEALTH Policy, Planning and Analysis. Looking Toward 2000 - State Health Assessment. Table of Contents Glossary Maps Appendices Publications Public Health Code PP&A Main

More information

Drug-related hospital stays in Australia

Drug-related hospital stays in Australia Drug-related hospital stays in Australia 1993 2012 Prepared by Funded by Amanda Roxburgh and Lucy Burns, National Drug and Alcohol Research Centre the Australian Government Department of Health and Ageing

More information

Drug Overdose Morbidity and Mortality in Kentucky,

Drug Overdose Morbidity and Mortality in Kentucky, Drug Overdose Morbidity and Mortality in Kentucky, 2000-2010 An examination of statewide data, including the rising impact of prescription drug overdose on fatality rates, and the parallel rise in associated

More information

Injury & Violence in Bernalillo County. Theresa Cruz, PhD February 26, 2013

Injury & Violence in Bernalillo County. Theresa Cruz, PhD February 26, 2013 Injury & Violence in Bernalillo County Theresa Cruz, PhD February 26, 2013 If today should turn out to be an average day in the U.S. 493 people will die of injuries 7,700 people will be discharged from

More information

Drug-related hospital stays in Australia

Drug-related hospital stays in Australia Drug-related hospital stays in Australia 1993-213 Prepared by Amanda Roxburgh and Lucinda Burns, National Drug and Alcohol Research Centre Funded by the Australian Government Department of Health Introduction

More information

ICD. International Classification of Diseases

ICD. International Classification of Diseases ICD International Classification of Diseases ICD international standard diagnostic classification for general epidemiological health management purposes clinical use analysis of the general health situation

More information

VEHICULAR FATALITIES IN CUYAHOGA COUNTY, OHIO, U.S.A. Twenty Years Experience ( )

VEHICULAR FATALITIES IN CUYAHOGA COUNTY, OHIO, U.S.A. Twenty Years Experience ( ) VEHICULAR FATALITIES IN CUYAHOGA COUNTY, OHIO, U.S.A. Twenty Years Experience (1941-1960) by S. R. GERBER* Orientation THE c o u n t y of Cuyahoga in the State of Ohio encompasses an area of slightly more

More information

DRUG AND ALCOHOL USE

DRUG AND ALCOHOL USE DRUG AND ALCOHOL USE Alcohol and drug use by adolescents can have immediate as well as long-term health and social consequences. Alcohol and illicit drug use by adolescents are risk-taking behaviors which

More information

2010 NEW MEXICO EMERGENCY DEPARTMENT DATA REPORT

2010 NEW MEXICO EMERGENCY DEPARTMENT DATA REPORT 2010 NEW MEXICO EMERGENCY DEPARTMENT DATA REPORT Morbidity Surveillance Program Epidemiology and Response Division New Mexico Department of Health January 2013 NMD OH New Mexico Health Policy Commission

More information

State Injury Profile for District of Columbia

State Injury Profile for District of Columbia State Injury Profile for District of Columbia The CDC State Injury Profiles Gathering and sharing reliable data about the broad range of public health problems is among the many ways the Centers for Control

More information

Deaths from cardiovascular diseases

Deaths from cardiovascular diseases Implications for end of life care in England February 2013 www.endoflifecare-intelligence.org.uk Foreword This report provides an excellent summary of the current trends and patterns in cardiovascular

More information

Diagnosis-specific morbidity - European shortlist

Diagnosis-specific morbidity - European shortlist I Certain infectious and parasitic diseases 1 Tuberculosis A15-A19 X X Z 2 Sexually transmitted diseases (STD) A50-A64 Y Z 3 Viral hepatitis (incl. hepatitis B) B15-B19 X Z 4 Human immunodeficiency virus

More information

Injury Epidemiology. An Introduction. Thomas Songer, PhD University of Pittsburgh

Injury Epidemiology. An Introduction. Thomas Songer, PhD University of Pittsburgh Injury Epidemiology An Introduction Thomas Songer, PhD University of Pittsburgh readings This lecture introduces an emerging topic in global health today; injury epidemiology. Injuries represent a significant

More information

I. HEALTH ASSESSMENT C. HEALTH STATUS 4. BEHAVIORAL RISK FACTORS

I. HEALTH ASSESSMENT C. HEALTH STATUS 4. BEHAVIORAL RISK FACTORS HEALTH ASSESSMENT BEHAVIORALRISK FACTORS I. HEALTH ASSESSMENT C. HEALTH STATUS 4. BEHAVIORAL RISK FACTORS 1. WHAT IS THE HEALTH STATUS OF DELAWARE RESIDENTS WITH REGARD TO BEHAVIORAL RISK FACTORS? residents

More information

Initial Report of Oregon s State Epidemiological Outcomes Workgroup. Prepared by:

Initial Report of Oregon s State Epidemiological Outcomes Workgroup. Prepared by: Alcohol Consumption and Consequences in Oregon Prepared by: Addictions & Mental Health Division 5 Summer Street NE Salem, OR 9731-1118 To the reader, This report is one of three epidemiological profiles

More information

Traumatic Brain Injury

Traumatic Brain Injury Traumatic Brain Injury I N T H E U N I T E D S T A T E S Emergency Department Visits, Hospitalizations and Deaths 2002 2006 U.S. Department of Health and Human Services Centers for Disease Control and

More information

Accidental drug-induced deaths due to opioids in Australia, 2013

Accidental drug-induced deaths due to opioids in Australia, 2013 Prepared by Funded by Product of Amanda Roxburgh and Lucy Burns, National Drug and Alcohol Research Centre the Australian Government Department of Health the National Illicit Drug Indicators Project Recommended

More information

Fall-related injury in people with dementia

Fall-related injury in people with dementia Fall-related injury in people with dementia Dr Lara Harvey NHMRC Early Career Research Fellow Neuroscience Research Australia Dementia Collaborative Research Centers- Assessment and Better Care Overview

More information

Risk v. Reward. Risk-Based Decision Making. Decisions, Decisions Your Risk is not My Risk We Don t Know What We Don t Know

Risk v. Reward. Risk-Based Decision Making. Decisions, Decisions Your Risk is not My Risk We Don t Know What We Don t Know Risk v. Reward Risk-Based Decision Making Decisions, Decisions Your Risk is not My Risk C. S. Chip Howat Ph.D., P.E. Principal Associate & Director dba HowatRisk Engineers Consulting in Process and Risk

More information

INCIDENCE, HEALTH OUTCOMES AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2006

INCIDENCE, HEALTH OUTCOMES AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2006 Crash Outcome Data Evaluation System INCIDENCE, HEALTH OUTCOMES AND COSTS RELATED TO MOTOR VEHICLE CRASHES IN WHICH ALCOHOL WAS A FACTOR, WISCONSIN, 2006 Wayne Bigelow Center for Health Systems Research

More information

DEATHS OF PERSONS AGED 13 to 25 YEARS IN AUSTRALIA (EXCLUDING QLD & SA) WHICH INVOLVED ALCOHOL (Reported to a coroner between 2003 and 2006)

DEATHS OF PERSONS AGED 13 to 25 YEARS IN AUSTRALIA (EXCLUDING QLD & SA) WHICH INVOLVED ALCOHOL (Reported to a coroner between 2003 and 2006) NATIONAL CORONERS INFORMATION SYSTEM (NCIS) ISSUES OF INTEREST SERIES (Edition 1) DEATHS OF PERSONS AGED 13 to 25 YEARS IN AUSTRALIA (EXCLUDING QLD & SA) WHICH INVOLVED ALCOHOL (Reported to a coroner between

More information

ICD- 10- CM General Coding Guidelines and Mapping

ICD- 10- CM General Coding Guidelines and Mapping PECAA Professional Eye Care Associates of America ICD- 10- CM General Coding Guidelines and Mapping Introduction The International Classification of Diseases, 10 th revision, Clinical Modifications (ICD-

More information

Ohio Brain Injury Program and the Brain Injury Advisory Committee. Biennial Report on the Incidence of Traumatic Brain Injury in Ohio: 2012

Ohio Brain Injury Program and the Brain Injury Advisory Committee. Biennial Report on the Incidence of Traumatic Brain Injury in Ohio: 2012 Ohio Brain Injury Program and the Brain Injury Advisory Committee Biennial Report on the Incidence of Traumatic Brain Injury in Ohio: 212 Presented to the Brain Injury Advisory Committee Report Date: January

More information

CDC Strategies for Protecting Older Americans

CDC Strategies for Protecting Older Americans CDC Strategies for Protecting Older Americans Grant Baldwin, PhD, MPH Director, Division of Unintentional Injury Prevention National Center for Injury Prevention and Control Centers for Disease Control

More information

Prioritized ShortList MORBIDITY

Prioritized ShortList MORBIDITY Report on in-depth analysis of pilot studies in 16 Member States on diagnosis-specific morbidity statistics Annex 2 (Rev 11_11_13) Prioritized ShortList MORBIDITY Legend: X recommended for collection Y

More information

Cardiopulmonary Physiotherapy

Cardiopulmonary Physiotherapy Cardiopulmonary Physiotherapy in Trauma An Evidence-based Approach This page intentionally left blank Cardiopulmonary Physiotherapy in Trauma An Evidence-based Approach Editors Heleen van Aswegen Department

More information

A chapter by chapter look at the ICD-10-CM code set Coding Tip Sheet

A chapter by chapter look at the ICD-10-CM code set Coding Tip Sheet Coding Tip Sheet Chapter 1 - Certain Infectious and Parasitic Diseases Terminology changes: The term Sepsis (ICD-10-CM) has replaced the term Septicemia (ICD-9-CM) Urosepsis is a nonspecific term and is

More information

How Safe Are Our Roads? 2016 Checkpoint Strikeforce campaign poster celebrating real area cab drivers as being Beautiful designated sober drivers.

How Safe Are Our Roads? 2016 Checkpoint Strikeforce campaign poster celebrating real area cab drivers as being Beautiful designated sober drivers. How Safe Are Our Roads? 2016 Checkpoint Strikeforce campaign poster celebrating real area cab drivers as being Beautiful designated sober drivers. Annual Data Report on the Impact of Drunk Driving on Road

More information

Aboriginal and Torres Strait Islander Health Performance Framework Report

Aboriginal and Torres Strait Islander Health Performance Framework Report Aboriginal and Torres Strait Islander Health Performance Framework 26 Report Report Findings Tier 1: Health Status and Outcomes Improvements: Mortality Infant Mortality Deaths due to Circulatory Disease

More information

Drug related hospital stays in Australia

Drug related hospital stays in Australia Prepared by Funded by Amanda Roxburgh and Courtney Breen, National Drug and Alcohol Research Centre the Australian Government Department of Health Recommended Roxburgh, A. and Breen, C (217). Drug-related

More information

Injury profile, Victoria 2001

Injury profile, Victoria 2001 Hazard (Edition No. 54) Autumn 2003 Victorian Injury Surveillance & Applied Research System (VISAR) www.general.monash.edu.au/muarc/visar Monash University Accident Research Centre In this edition of Hazard

More information

Major Causes of Injury Death

Major Causes of Injury Death Unintentional injuries and violence are the leading causes of death, hospitalization, and disability for children ages 1-18. This fact sheet provides a snapshot of data on the injury-related Maternal and

More information

Childhood Injury Deaths in Baltimore City

Childhood Injury Deaths in Baltimore City Childhood Injury Deaths in Baltimore City 2002-2006 A Report from the Office of Epidemiology and Planning Baltimore City Health Department Prepared for the Baltimore City Child Fatality Review Team February

More information

THE HEALTH OF LINN COUNTY, IOWA A COUNTYWIDE ASSESSMENT OF HEALTH STATUS AND HEALTH RISKS

THE HEALTH OF LINN COUNTY, IOWA A COUNTYWIDE ASSESSMENT OF HEALTH STATUS AND HEALTH RISKS THE HEALTH OF LINN COUNTY, IOWA A COUNTYWIDE ASSESSMENT OF HEALTH STATUS AND HEALTH RISKS Project Team Pramod Dwivedi, Health Director Amy Hockett, Epidemiologist Kaitlin Emrich, Assessment Health Promotion

More information

ICD-9-CMCoding I Common Course Outline

ICD-9-CMCoding I Common Course Outline ICD-9-CMCoding I Common Course Outline Course Information Organization South Central College Revision History 2008-2009 Course Number HC 1920 Department Health Careers Total Credits 3 Description This

More information

Major Causes of Injury Death

Major Causes of Injury Death Unintentional injuries and violence are the leading causes of death, hospitalization, and disability for children ages 1-18. This fact sheet provides a snapshot of data on the injury-related Maternal and

More information

2013 Youth Suicide Report

2013 Youth Suicide Report New Jersey Department of Children and Families 2013 Youth Suicide Report Data Overview and Recommendations on Youth Suicide in New Jersey Allison Blake, Ph.D., L.S.W. Commissioner Table of Content Executive

More information

Mississauga Brampton Caledon Peel Male 351, ,910 30, ,410 Female 353, ,090 30, ,560 Total* 705, ,000 61,000 1,225,970

Mississauga Brampton Caledon Peel Male 351, ,910 30, ,410 Female 353, ,090 30, ,560 Total* 705, ,000 61,000 1,225,970 Peel Health Facts Population Population Projections 2007, Region of Peel and Municipalities Mississauga Brampton Caledon Peel Male 351,890 230,910 30,640 613,410 Female 353,110 229,090 30,360 612,560 Total*

More information

BY EVERY MEASURE. Opportunities in Injury Prevention Across the Lifespan. Grant Baldwin, PhD, MPH. October 1, 2013

BY EVERY MEASURE. Opportunities in Injury Prevention Across the Lifespan. Grant Baldwin, PhD, MPH. October 1, 2013 BY EVERY MEASURE Opportunities in Injury Prevention Across the Lifespan Grant Baldwin, PhD, MPH October 1, 2013 National Center for Injury Prevention and Control Division of Unintentional Injury Prevention

More information

Severe trauma presenting to the resuscitation room of a Hong Kong emergency department

Severe trauma presenting to the resuscitation room of a Hong Kong emergency department Hong Kong Journal of Emergency Medicine Severe trauma presenting to the resuscitation room of a Hong Kong emergency department TH Rainer, SY Chan, K Kwok, DTK Suen, W Lam, RA Cocks Background: Little is

More information

Introduction to Data Presentation Billings Area 2011: Injury Data Introduction

Introduction to Data Presentation Billings Area 2011: Injury Data Introduction Utilize the Participants Summary Presentation (see template) to illustrate value of data. Inform students that next 2 days will focus on Injury Data, with three major blocks of instruction: 1. Review and

More information

Optum360 Learning: Detailed Instruction for Appropriate ICD-10-CM Coding

Optum360 Learning: Detailed Instruction for Appropriate ICD-10-CM Coding Optum360 Learning: Detailed Instruction for Appropriate Coding An educational guide to the structure, conventions, and guidelines of coding 2017 Contents Section 1: Introduction...1 Documentation...7 Documentation

More information

TRAUMATIC BRAIN INJURIES IN PENNSYLVANIA

TRAUMATIC BRAIN INJURIES IN PENNSYLVANIA TRAUMATIC BRAIN INJURIES IN PENNSYLVANIA Hospital Discharges 1995-1999 Traumatic Brain Injuries in Pennsylvania, 1995-1999 An Injury Profile Monograph Injury Prevention Program Division of Health Risk

More information

ICD-10 Back Up The Truck. Andrea Romero, RHIT, CCS, CPC NMHIMA Leadership Conference April 10, 2014

ICD-10 Back Up The Truck. Andrea Romero, RHIT, CCS, CPC NMHIMA Leadership Conference April 10, 2014 ICD-10 Back Up The Truck Andrea Romero, RHIT, CCS, CPC NMHIMA Leadership Conference April 10, 2014 ICD-10 IS DELAYED AGAIN Classification Structure ICD-9-CM Infectious and Parasitic Diseases (001 139)

More information

Unintentional Fall-Related Injuries and Deaths Among Seniors in British Columbia: Trends, Patterns and Future Projections,

Unintentional Fall-Related Injuries and Deaths Among Seniors in British Columbia: Trends, Patterns and Future Projections, Unintentional Fall-Related Injuries and Deaths Among Seniors in British Columbia: Trends, Patterns and Future Projections, 1987-212 Hassan Soubhi, Parminder Raina, Sarka Lisonkova, Mariana Brussoni, &

More information

SASKATCHEWAN COMPREHENSIVE INJURY SURVEILLANCE REPORT,

SASKATCHEWAN COMPREHENSIVE INJURY SURVEILLANCE REPORT, SASKATCHEWAN COMPREHENSIVE INJURY SURVEILLANCE REPORT, 1995-2005 Saskatchewan Ministry of Health, Population Health Branch Saskatchewan Ministry of Health, Acquired Brain Injury Partnership Project, Community

More information

Florida EMS Advisory Council. Chief Darrel Donatto, Chair. January 18, 2018

Florida EMS Advisory Council. Chief Darrel Donatto, Chair. January 18, 2018 Florida EMS Advisory Council Chief Darrel Donatto, Chair January 18, 2018 EMSAC Data Committee Meeting A G E N D A Welcome/ Opening Remarks Review/Approval of Meeting Records Update on Action Items Update

More information

National Dementia Intelligence Network briefing

National Dementia Intelligence Network briefing Reasons why people with dementia are admitted to a general hospital in an emergency National Dementia Intelligence Network briefing Introduction In recent years there have been a number of national reports

More information

Preventable Child Mortality in Massachusetts. State Child Fatality Review Team Legislative Briefing March 2012

Preventable Child Mortality in Massachusetts. State Child Fatality Review Team Legislative Briefing March 2012 Preventable Child Mortality in Massachusetts State Child Fatality Review Team Legislative Briefing March 202 State Child Fatality Review Team Co-chaired by Chief Medical Examiner and Department of Public

More information

Walworth County Health Data Report. A summary of secondary data sources

Walworth County Health Data Report. A summary of secondary data sources Walworth County Health Data Report A summary of secondary data sources 2016 This report was prepared by the Design, Analysis, and Evaluation team at the Center for Urban Population Health. Carrie Stehman,

More information

Data Sources, Methods and Limitations

Data Sources, Methods and Limitations Data Sources, Methods and Limitations The communicable diseases contained in this report are reportable to the local Medical Officer of Health under the jurisdiction of the Health Protection and Promotion

More information

NTDB Pediatric Report American College of Surgeons All Rights Reserved. Worldwide.

NTDB Pediatric Report American College of Surgeons All Rights Reserved. Worldwide. American College of Surgeons 2012. All Rights Reserved Worldwide. NTDB PEDIATRIC REPORT 2012 Editor Michael L. Nance, MD, FACS, Chair Quality and Data Resources Subcommittee American College of Surgeons

More information

TRENDS IN SUBSTANCE USE AND ASSOCIATED HEALTH PROBLEMS

TRENDS IN SUBSTANCE USE AND ASSOCIATED HEALTH PROBLEMS Fact Sheet N 127 August 1996 TRENDS IN SUBSTANCE USE AND ASSOCIATED HEALTH PROBLEMS Psychoactive substance use is an increasing public health concern. Problems associated with this use cover a broad spectrum

More information

National Trauma Data Bank 2008 Pediatric Report

National Trauma Data Bank 2008 Pediatric Report National Trauma Data Bank 2008 Pediatric Report Version 8.0 Acknowledgments The American College of Surgeons Committee on Trauma wishes to thank the Centers for Disease Control and Prevention (CDC) for

More information

HOW SAFE ARE OUR ROADS?

HOW SAFE ARE OUR ROADS? HOW SAFE ARE OUR ROADS? 2017 annual data report on the impact of drunk driving on road safety in the Washington D.C. metropolitan region December 2018 HOW SAFE ARE OUR ROADS? ANNUAL DATA REPORT ON THE

More information

SmartVA Analyze Outputs Interpretation Sheet

SmartVA Analyze Outputs Interpretation Sheet SmartVA Analyze Outputs Interpretation Sheet SmartVA-Analyze uses an algorithm called Tariff 2.0 to assign the cause of death based on the details of the verbal autopsy (VA) interview. The output from

More information

Monthly topic of interest: Children in Hospital Episode Statistics July 2012 to June 2013, Provisional

Monthly topic of interest: Children in Hospital Episode Statistics July 2012 to June 2013, Provisional Monthly topic of interest: Children in Hospital Episode Statistics July 2012 to June 2013, Provisional Most of the HES analysis regularly published by the HSCIC uses broad age bands for children, eg. 0-14.

More information

Comparing the CR-3 Injury Severity Categories (KABCO) to Injury Severity Metrics

Comparing the CR-3 Injury Severity Categories (KABCO) to Injury Severity Metrics Comparing the CR-3 Injury Severity Categories (KABCO) to Injury Severity Metrics Texas EMS & Trauma Registries Injury Epidemiology & Surveillance Branch Environmental & Injury Epidemiology & Toxicology

More information

Appropriate Use of 7 th Character in ICD 10 CM

Appropriate Use of 7 th Character in ICD 10 CM Appropriate Use of 7 th Character in ICD 10 CM Jameel Ahmed RHIA,CCS Corporate, Group HIM Manager SEHA - Abu Dhabi Health Services Co SEHA: Abu Dhabi Healthservices 18,000 Employees 12 Hospitals 57 Ambulatory

More information

R eports describing the epidemiology of child and adolescent

R eports describing the epidemiology of child and adolescent 32 ORIGINAL ARTICLE Adolescent injury morbidity in New Zealand, 1987 96 K Kypri, D J Chalmers, J D Langley, C S Wright... See end of article for authors affiliations... Correspondence to: Mr Kypros Kypri,

More information

Selected tables standardised to Segi population

Selected tables standardised to Segi population Selected tables standardised to Segi population LIST OF TABLES Table 4.2S: Selected causes of death, all-ages, 2000 2004 (Segi Standard) Table 5.3S: Public hospitalisations by major cause of admission

More information

Number of fatal work injuries,

Number of fatal work injuries, Number of fatal work injuries, 1992 2010 Number of fatal work injuries 7,000 6,217 6,331 6,632 6,275 6,202 6,238 6,055 6,054 5,920 5,915 6,000 5,534 5,575 5,764 5,734 5,840 5,657 5,214 5,000 4,551 4,690

More information

Injuries in Canada: Insights from the Canadian Community Health Survey

Injuries in Canada: Insights from the Canadian Community Health Survey Component of Statistics Canada Catalogue no. 82-624-X Injuries in Canada: Insights from the Canadian Community Health Survey by Jean-Michel Billette and Teresa Janz June 2011 How to obtain more information

More information

CENTRAL TEXAS COLLEGE SYLLABUS FOR HITT 1341 CODING AND CLASSIFICATION SYSTEMS. Semester Hours Credit: 3

CENTRAL TEXAS COLLEGE SYLLABUS FOR HITT 1341 CODING AND CLASSIFICATION SYSTEMS. Semester Hours Credit: 3 I. INTRODUCTION CENTRAL TEXAS COLLEGE SYLLABUS FOR HITT 1341 CODING AND CLASSIFICATION SYSTEMS INSTRUCTOR: Semester Hours Credit: 3 OFFICE HOURS: A. Fundamentals of coding rules, conventions, and guidelines

More information

Australian asthma indicators. Five-year review of asthma monitoring in Australia

Australian asthma indicators. Five-year review of asthma monitoring in Australia Australian asthma indicators Five-year review of asthma monitoring in Australia The Australian Institute of Health and Welfare is Australia s national health and welfare statistics and information agency.

More information

The International Classification of Diseases Version 10 (ICD-10) What you need to know before the end of February, 2014

The International Classification of Diseases Version 10 (ICD-10) What you need to know before the end of February, 2014 The International Classification of Diseases Version 10 (ICD-10) What you need to know before the end of February, 2014 Gary W. Williams, MD, PhD, FACR 1.8.2014 Objectives: 1. Review the history of the

More information

DECEMBER 4, 2013 TRAUMA REGISTRY MORTALITY STATISTICS. Liana Lujan

DECEMBER 4, 2013 TRAUMA REGISTRY MORTALITY STATISTICS. Liana Lujan DECEMBER 4, 213 TRAUMA REGISTRY MORTALITY STATISTICS Liana Lujan 25-212 Trauma Program EMS Bureau Epidemiology and Response Division New Mexico Department of Health 2 TRAUMA REGISTRY DEATHS METHODS Definitive

More information

Injury Surveillance Program, Massachusetts Department of Public Health Fall 2017

Injury Surveillance Program, Massachusetts Department of Public Health Fall 2017 Number of Deaths Injury Surveillance Program, Massachusetts Department of Public Health Fall 217 Suicide and self-inflicted injuries are a significant yet largely preventable public health problem. The

More information

NVDRS Mission. To collect high quality, detailed, timely information on all violent deaths in the US

NVDRS Mission. To collect high quality, detailed, timely information on all violent deaths in the US NVDRS Mission To collect high quality, detailed, timely information on all violent deaths in the US What is the NVDRS? A public health surveillance system Population-based Active Census designed to obtain

More information