Vision and Eye Health Surveillance
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1 Vision and Eye Health Surveillance
2 Panel moderator: Jeff Todd, Prevent Blindness
3 500 Cities: Local Data for Better Health Measures Tracked UNHEALTHY BEHAVIORS Binge Drinking Current Smoking No Leisure Time Physical Activity Obesity Sleeping Less Than 7 Hours Arthritis HEALTH OUTCOMES Current Asthma High Blood Pressure Cancer (Excluding Skin Cancer) High Cholesterol Chronic Kidney Disease Chronic Obstructive Pulmonary Disease Coronary Heart Disease Diagnosed Diabetes Mental Health Not Good for 14 Days Physical Health Not Good for 14 Days All Teeth Lost Stroke PREVENTION Current Lack of Health Insurance Visits to Doctor For Routine Checkup Within the Past Year Visits to Dentist or Dental Clinic Taking Medicine for High Blood Pressure Control Cholesterol Screening Mammography Papanicolaou Smear Fecal Occult Blood Test, Sigmoidoscopy, or Colonoscopy Up to Date on a Core Set of Clinical Preventive Services
4 John Wittenborn, NORC at the University of Chicago Phoebe Lamuda, NORC at the University of Chicago
5 John Wittenborn VEHSS Project Director
6 VEHSS CDC Cooperative agreement awarded to NORC in year project currently in year 2 of development
7 Centers for Disease Control and Prevention NORC at the University of Chicago The University of Wisconsin-Madison School of Medicine and Public Health Prevent Blindness American Academy of Ophthalmology VSP Inc. Additional partners: KPMG HIV Counts Potential future partners: The University of Washington s Institute for Health Metrics and Evaluation (IHME) Uniformed Services University of the Health Sciences American Optometric Association Northrop Grumman
8 VEHSS Specific Aims Create new prevalence and service utilization estimates Identify current disparities Design the capacity to update, identify trends and measure impacts Disseminate information
9 System Development: 5 Simple Steps 1. Identify and select available data 2. Define data indicators and case definitions 3. Generate single-source estimates 4. Integrate data sources into comprehensive estimates 5. Transparency and dissemination
10 Review of Step 1: Data Selection National surveys Administrative claims databases Medicare, Medicaid, VSP, MarketScan EHR databases and Registries IRIS Registry Population-based studies and metaanalyses
11 System Development: 5 Simple Steps 1. Identify and select available data 2. Define data indicators and case definitions 3. Generate single-source estimates 4. Integrate data sources into comprehensive estimates 5. Transparency and dissemination
12 Define data indicators Indicators are the measures that we will capture in each data source 1. Diagnosis categories 2. Service utilization 3. Visual function categories 4. Surveys instrument categories
13 1. Data Indicator: Diagnosis Categories 1. Identified ~5,000 diagnosis codes a) ICD-9 and ICD-10 codes 2. Organized into 2-level organization system a) 17 categories b) 79 subcategories 3. All diagnosis codes are assigned to a single subcategory
14 Diagnosis Categories Category 1. Retinal Detachment and Defects Category 2. Diabetic Eye Diseases Category 3. Age related macular degeneration Category 4. Other Retinal Disorders Category 5. Glaucoma Category 6. Cataracts Category 7. Disorders of Refraction and accommodation Category 8. Blindness and low vision Category 9. Strabismus and amblyopia Category 10. Injury, burns and surgical complications of the eye Category 11. Disorders of optic nerve and visual pathways Category 12. Other visual disturbances Category 13. Infectious and Inflammatory diseases Category 14. Orbital and external disease Category 15. Cancer and neoplasms of the eye Category 16. Cornea disorders Category 17. Other eye disorders
15 Treated/Diagnosed Prevalence of 17 Categories (Preliminary Validation Estimates from 2013 Medicare 5%) Cataract Glaucoma Orbital and external disease Infectious and inflammatory Other eye disorders Age related Macular Degeneration Disorders of Refraction and Accomodation Other Retinal Disorders Other visual disturbances Diabetic eye diseases Cornea Injury, burns and surgical complication Disorders of optic nerve and visual pathways Strabismus and amblopia Retinal detachment and defects Blindness and low vision Cancer or neoplasms of the eye 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 35.00%
16 1,000, , , , ,000 0 Diabetic Eye Diseases by Age Group (Preliminary Validation Estimates from 2013 Medicare 5%) 64 and under and above # of Beneficiaries Treated Rate, per Medicare Beneficiary
17 Diagnosis Categories Category 1. Retinal Detachment and Defects Category 2. Diabetic Eye Diseases Category 3. Age related macular degeneration Category 4. Other Retinal Disorders Subgroups Category 5. Glaucoma Category 2 Category 6. Cataracts Category 7. Disorders of Refraction and accommodation Diabetic Eye Diseases Subcategory 2.1 Early/Mild Diabetic Retinopathy Category 8. Blindness and low vision Category 9. Strabismus and amblyopia Subcategory 2.2 Category 10. Injury, burns and surgical complications of the eye Category 11. Disorders of optic nerve and visual pathways Category 12. Other visual disturbances Subcategory 2.4 Category 13. Infectious and Inflammatory diseases Category 14. Orbital and external disease Subcategory 2.5 Category 15. Cancer and neoplasms of the eye Category 16. Cornea disorders Category 17. Other eye disorders Moderate /Severe Nonproliferative Diabetic Retinopathy Subcategory 2.3 Proliferative Diabetic Retinopathy Diabetic Macular Edema (DME, CSDME) Other/unspecified diabetes related eye conditions
18 900, , , , , , , , ,000 0 Diabetic Eye Diseases, by Subcategory (Preliminary Validation Estimates from 2013 Medicare 5%) Early/mild DR Moderate/severe, non proliferative DR Proliferative DR # of Beneficiaries Diabetic macular edema (DME) Other/unspecified diabetes related eye conditions
19
20 2. Data Indicator: Service Utilization Eye examinations Eye exam procedure codes Exams provided by eye care providers
21 Proportion of Beneficiaries Receiving Exam (Preliminary Validation Estimates from 2013 Medicare 5%) 70% 60% 50% 40% 30% 20% 10% 0% Hispanic Black North American Native Asian Other White
22
23 # of Beneficiaries 18,000,000 16,000,000 14,000,000 12,000,000 10,000,000 8,000,000 6,000,000 4,000,000 2,000,000 Eye Examinations Frequency (Preliminary Validation Estimates from 2013 Medicare 5%) # of Exams per Year, per Beneficiary 60% 50% 40% 30% 20% 10% 0% Proportion of Beneficiaries
24 3. Data Indicator: Visual Function Categories Visual Function Category Visual Acuity* Normal Vision 20/12 20/25 Mild Impairment 20/32 20/63 Moderate Impairment 20/70 20/160 Severe Impairment 20/200 20/400 Profound Impairment 20/500 20/1000 Near Blindness <20/1000 Blindness/NLP No Light Perception Unqualified visual loss Unknown or missing US legal blindness 20/200 Monocular Impairment 20/70 in worse eye *Best corrected acuity, based on better seeing eye
25 Prevalence of Normal, Vision Loss and Missing Acuity Values (2016 IRIS Registry Preliminary Validation Estimates) Normal Vision Loss Missing/Not Available
26 (Preliminary Validation Estimates from 2016 IRIS Registry)
27 Phoebe Lamuda, MS Research Scientist
28 Generating single-source estimates from National Surveys
29 Define data indicators Indicators are the measures that we will capture in each data source Diagnosis categories Service utilization Visual function categories Surveys instrument categories
30 Topics Visual Function Eye Diseases Service Utilization Insurance Coverage and Costs Examination Measures
31 Specific Measures for Each Topic Visual Function Adaptive devices Blind of difficulty seeing Difficulty seeing with glasses Hyperopia Length of vision problem Miscellaneous life impacts Myopia Peripheral vision Night vision Vision correction Vision impairment
32 Specific Measures for Each Topic Eye Diseases Cataract Diabetic Retinopathy Glaucoma Age Related Macular Degeneration
33 Review of Approach to Identify Surveys Identify national surveys with vision- and eye-health-related data Review surveys on multiple criteria Recommend surveys for inclusion
34 Recommended Surveys for Inclusion American Community Survey (ACS) Behavioral Risk Factors Surveillance System (BRFSS) Medicare Current Beneficiary Survey (MCBS) National Health Interview Survey (NHIS) National Health and Nutrition Examination Survey (NHANES) National Survey of Children s Health (NSCH)
35 Topic: Visual Function Measure: Difficulty seeing with glasses ACS (2014) - Is this person blind or does he/she have serious difficulty seeing even when wearing glasses? NHIS (2014 & 2015) - Do you have any trouble seeing, even when wearing glasses or contact lenses? 8.76% 8.09% 7.34% 6.46% 4.84% 2.48% 3.07% 1.43% 2.22% 2.60% ACS 2014 Whites NHIS Blacks Asian Hispanic Other
36 Topic: Visual Function Measure: Difficulty seeing with glasses ACS (2014) - Is this person blind or does he/she have serious difficulty seeing even when wearing glasses? NHIS (2014 & 2015) - Do you have any trouble seeing, even when wearing glasses or contact lenses? 23.48% 17.23% 12.97% 10.64% 0.72% 1.17% 2.78% 5.59% 2.58% ACS years years 5.21% NHIS years years years
37 Topic: Visual Function Measure: Difficulty seeing with glasses NSCH (2007, 2011/2012) - Has a doctor or health professional ever told you that child has vision problems that cannot be corrected with glasses or contact lenses? 2.01% 1.65% 1.59% 1.45% NSCH White Black Hispanic Other
38 Topic: Visual Function Measure: Difficulty seeing with glasses NSCH (2007, 2011/2012) - Has a doctor or health professional ever told you that child has vision problems that cannot be corrected with glasses or contact lenses? 2.29% 2.24% 1.79% 0.66% NSCH 0 4 years 5 9 years years years
39
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