PINELLAS DATA COLLABORATIVE MEMORANDUM

Similar documents
Pinellas County Mental Health & Substance Abuse Data Collaborative

Report of Pinellas Data Collaborative CJIS System Change Over Time 2007 Findings. Final

Report of Pinellas Data Collaborative CJIS System Change Over Time 2007 Findings DRAFT

Pinellas County Mental Health & Substance Abuse Data Collaborative

Alcohol Users in Treatment

Connecticut Medicaid Emerging Adults

FACT SHEET. Women in Treatment

Federation of State Boards of Physical Therapy Minimum Data Set Questionnaire

Alcohol use and binge drinking among Hispanic/Latino subculture youth, and the differences in the affect of acculturation

Medicaid Long-Term Services and Supports in Maryland:

List of Detailed Tables

Svetlana Yampolskaya, Ph.D. Patty J. Sharrock, Ph.D. Colleen Clark, Ph.D. Ardis Hanson, Ph.D. March 24, 2015 Tampa, Florida

Member s Freedom of Choice

Innovation Project Requirements

Greenville County Commission on Alcohol and Drug Abuse The Phoenix Center. Public Report. Fiscal Year 2013

RSR Crosswalk. Variable Client Race Race ID Values White 1 Black 2 Asian 3 Hawaiian / PI 4 Native American (AK native) 5

CHRONOLOGICAL RECORD OF MEDICAL CARE Behavioral Medicine Associates, Inc North Virginia Avenue Roswell, NM 88201

Mental Health Services Act. Transforming the Santa Barbara County System of Care. Data Report: Santa Barbara County and System of Care

2013 Annual Report Tuberculosis in Fresno County. Department of Public Health

ELIMINATING HEALTH DISPARITIES IN AN URBAN AREA. VIRGINIA A. CAINE, M.D., DIRECTOR MARION COUNTY HEALTH DEPARTMENT INDIANAPOLIS, INDIANA May 1, 2002

Impact of Florida s Medicaid Reform on Recipients of Mental Health Services

Location of RSR Client-level Data Elements in CAREWare Updated Sept 2017

Evaluation of Medicaid-Funded Out-of-Home Alternatives for FY 05-06

Outlook and Outcomes Fiscal Year 2011

Hudson Valley Collaborative PPS Community Profile

Albany County Coordinated Entry Assessment version 12, 11/29/16

Planning Council Meeting May 17, 2016 Yohannes Abaineh, MPH

Central New York Care Collaborative, Inc. PPS Community Profile

Millennium Collaborative Care PPS Community Profile

North Texas Community Health Collaborative

Division of Behavioral Health Services

Bassett Medical Center PPS Community Profile

State of Iowa Outcomes Monitoring System

Illinois Provider Batch Registration File Specifications

We (will) Ask Everyone*

CalOMS Admission. Page 1 of 6

Suicide Prevention Gatekeeper Training Results (2009)

Potentially Preventable Emergency Room (ED) Visits. Updated May 22, 2013

Health Professions Data Series: Dental Hygienist 2017

State of Iowa Outcomes Monitoring System

Trends in Pneumonia and Influenza Morbidity and Mortality

Service Array, Needs, and Gaps FY Silvia Quintana Chief Executive Officer

2014 Butte County BUTTE COUNTY COMMUNITY HEALTH ASSESSMENT

Chapter 6C Substance Abuse Detox Data Set (SA DETOX) Table of Contents. I. Document Revision History 2 II. General Policies and Considerations 3

Diphtheria. West Virginia Electronic Disease Surveillance System

Childhood Trauma: Prevalence and Related Behaviors at a Community Mental Health Agency in Michigan. Amy Neumeyer, MPH Deborah Willis, PhD, MSW

Evaluation of Florida Medicaid Behavioral Pharmacy Practice by Racial/Ethnic Minorities Across the Lifespan

Profile of DeKalb County

Northside Mental Health Center Intake Questionnaire

Alex Zamora, LMSW. Human Services Program Specialist 211 Idaho CareLine Idaho Department of Health and Welfare Monday, June 3, 2013

Prevention Services. Disorders Among Young People: Progress and Possibilities. Washington, DC: The National Academies Press.

Changing Patient Base. A Knowledge to Practice Program

Deaths in Hawaii Due to Major Cardiovascular Disease

FLHealthCHARTS.com Update List

Ohio PREP Region 7 Data Report. Prepared by: Ohio University s Voinovich School of Leadership and Public Affairs January 2018

Provider Training. Behavioral Health Screening, Referral, and Coding Requirements

2017 HIV/AIDS Epidemiology Update 2016 Data. James Dowling Health Program Coordinator Division of Public Health

2016 Community Service Plan & Community Health Improvement Plan

Suicide in Humboldt County, CA

Arizona State Data Report

Department of Human Services/Oregon Health Authority Addictions and Mental Health Division (AMH) November 25, 2009

Persons Living with HIV/AIDS, San Mateo County Comparison

Westchester Medical Center PPS Community Profile

Chartbook on Health of Latinos in the Midwest

Assessing Representativeness of the California Department of Mental Health Consumer Perception Surveys

THE BURDEN OF CANCER IN NEBRASKA: RECENT INCIDENCE AND MORTALITY DATA

Summary of 2014 Changes Ryan White Services Report

ALCOHOL AND DRUG TREATMENT SERVICES. Provided by the Alcohol and Drug Abuse Division (ADAD) Hawaiʻi Department of Health

Using Evidence to Support Recovery through Comprehensive Community Services (CCS) Presentation Objectives. What is CCS? 10/17/2018

Ryan White Program Demographic Data Fiscal Year 25

Name: Phone #: Address: Cell Phone #: Address: I d like to participate in:

Pertussis. West Virginia Electronic Disease Surveillance System

SCIOTO PAINT VALLEY MENTAL HEALTH CENTER. Consumer Satisfaction Survey Report

Student Data Files in Electronic Format Data Set Record Layout

HIV & AIDS Cases in Alameda County

2014 County of Marin Fact Sheet: HIV/AIDS in Marin County

Data and Statistics 101: Key Concepts in the Collection, Analysis, and Application of Child Welfare Data

Appendix A AUTIM SPECTRUM DISORDER FEASIBILITY STUDY

County of Ventura Homeless Survey

Health Impact Assessment

CHILDHOOD LEAD POISONING IN NEW JERSEY

Lancaster County Drug and Alcohol Commission Treatment Needs Assessment Summary

FP clinic chlamydia screening coverage: Some method issues and results

Integrated Sickle Cell Care Models: Outpatient Community Based Clinics

The Newark Helpful Hearts organization provides for homeless individuals and families by giving them a roof over their heads. They are also given a

HIP Year 2020 Health Objectives related to Perinatal Health:

Asthma Disparities A National and Local Perspective

Public Costs for Homeless Clients of San Francisco s Collaborative Courts

HIV/AIDS IN MIAMI-DADE COUNTY THROUGH 2015

Program Guidance for Contract Deliverables Incorporated Document 15

Community Needs Assessment. June 26, 2013

Patient Information. First Name Last Name M.I. Address: DOB: Sex: M F City: State: Zip: Social Security Number: / / Home Phone: ( )

Substance Abuse Hospitalizations

Influenza Strategies for At-Risk Populations

Consolidated Project Information Project 4.a.ii Substance Abuse Prevention and Identification Initiative

Ref Sources of Statistics on Health in Hawaii

DRUG AND ALCOHOL USE

Florida Cancer Data System, University of Miami. Presentation for the Annual Conference of the North American Association of Central Cancer

John T. Mather Memorial Hospital and St. Charles Hospital Community Health Needs Assessment: Cancer Executive Summary

Clackamas County Overdose Prevention and Recovery Support Projects. Apryl L. Herron, MPH Clackamas County Public Health Division

Transcription:

PINELLAS DATA COLLABORATIVE MEMORANDUM TO: FROM: SUBJECT: ALL MEMBERS OF PINELLAS COUNTY DATA COLLABORATIVE, FLORIDA UNIVERSITY OF SOUTH FLORIDA / FLORIDA MENTAL HEALTH INSTITUTE / POLICY SERVICES RESEARCH DATA CENTER DATE: 11/28/2007 CC: REQUEST BY JUVENILE WELFARE BOARD / STARR SILVER Request: JWB Starr Silver s Request: A 2nd question---we are trying to get a sense of the need for substance use services by zip code in Pinellas County. Do you have data on the # of kids (under 18) who received treatment for substance use (residential and/or outpatient) by zip code of residence? Notification E-mail sent 8/27/07 Everyone, This is a notification of an Adhoc request for the following question posed by JWB: What is the number of individuals under the age 18 who have received treatment for substance abuse by zip code. This Request will look at the following systems data sets: EMS, DHH, Medicaid and IDS (Statewide Mental Health and Substance Abuse reporting system, DCF), using age, residency, diagnosis code to identify the sample over the fiscal year 2005-2006 (7/1/2005 through 6/30/2006). If you have no problem with this request please respond asap. If there is not response within 10 days of this e-mail the lack of response will be approval to go ahead with the request. Summary: This question was answered in 2 parts. Part I, identified the number of individuals under the age of 18 with a substance abuse diagnosis residing in Pinellas County. It was found that 2,366 individuals under the age of 18, residing in Pinellas County had received at least one diagnosis of substance abuse (93% were identified in the Florida Statewide Mental Health and Substance Abuse Reporting System (IDS); 7% were identified in

Medicaid (AHCA) claims system; 3% were identified in the Pinellas County EMS systems, 2% were identified in more than one system). 303.00 Alcohol Dependence 7.73% 304.00 Drug Dependence 21.60% 305.00 Non-Dependent Drug Abuse 79.29% What was not expected was the low Alcohol Dependence diagnosis. An explanation could be that rather than give a dependence diagnosis at all, as a minor you are more than likely given a non Dependence Drug abuse diagnosis and that this diagnosis can be for drug and/or alcohol non-dependence. It was also identified that 235 (10%) were dual diagnoses with a severe mental health diagnosis (Episodic Mood Disorders, 87%; Schizophrenic Disorders, 15%, Other Nonorganic Psychoses, 2%, and Delusional Disorders, <1%). Of those 34 with a diagnosis with Schizophrenic disorders, 9 (26%) also had at least one Episodic Mood Disorder. Part II, used only the Statewide Mental Health and Substance Abuse reporting data (IDS) and for the period of 7/1/2004 through 6/30/2005, for purposes of report zip code. The number of individuals identified in one zip code ranged from 1 to 108, the average being 34 and 22 zip codes having over the average. It is recommended that further comparison of the distribution of the sample identified compared to the distribution of the population of individuals under 18 by zip code would be helpful to examine if the pattern is due to the normal population density and/or distribution or potentially some other economic and/or social factors. Method: The 4 data systems used had a diagnosis code to identify Substance Abuse (EMS, IDS, DHH, and Medicaid). The Diagnosis codes of 303- Alcohol Dependence, 304 Drug Dependence, and 305 Non Dependence Drug Abuse were used to identify Substance Abuse. The residency of Pinellas County was assumed in EMS as there is no residency status or zip code; Medicaid there is a county of residency. In IDS there is a county where services were provided and resident zip code; and DSS has client city and zip of residency. The age of the individual at time of service was calculated using the date of birth and the date of service. A matching process was used to identify 56 individuals who were identified in more than one of the systems. Findings: SA diagnosis, reside in Pinellas County and EMS 61 Under the age of 18 at time of service MED 162 IDS 2,199 Total 2,366 56 overlap 2

Note: DSS: No individuals were identified under the age of 18 with a diagnosis of substance abuse. See Appendix A: breakdown of demographic/non-demographic indicators by data system. Results: Part I: Identification of Substance abuse In the following systems Dates used to pull data: 07/01/2005 through 06/30/2006 (most recent data available) Over all in the fiscal year of 0506 (7/1/05 through 6/30/06), 2,366 individuals were identified who resided in Pinellas county, were under the age of 18 at the time of services/interaction with either or all EMS, Medicaid, and IDS (Statewide Mental Health and Substance Abuse Reporting System). The majority of the individuals were identified in the IDS system, and there was some but only a small amount of overlap of individuals across systems (72 individuals). The breakdown of gender and age is as follows: Under 18 # % Male 990 65.13% Female 530 34.87% Unknown 846 Under 10 88 3.72% 10 13 0.55% 11 19 0.80% 12 42 1.78% 13 120 5.07% 14 266 11.24% 15 474 20.03% 16 614 25.95% 17 730 30.85% 303 - Alcohol Dependence 183 7.73% 304 - Drug Dependence 511 21.60% 305 - Non Dependence Drug Abuse 1,876 79.29% What was not expected was the low Alcohol Dependence diagnosis. An explanation could be that rather than give a dependence diagnosis at all, you are more than likely given a non Dependence Drug abuse diagnosis and that this diagnosis can be for drug and/or alcohol non-dependence. 3

The number of individuals under the age of 18 with a diagnosis of Substance abuse was found to be 2,366. Of those diagnoses with Substance Abuse, 235 (10%) also had a severe mental health diagnosis. Severe mental health diagnosis was identified with at least one diagnosis of one of the following: 295 Schizophrenic Disorders; 196 Episodic Mood Disorders (Depression); 297 Delusional Disorders; and/or 298 Other Non-organic Psychoses. The breakdown of dual diagnosis is as follows: (N = 235) 295 - Schizophrenic Disorders 34 296 - Episodic Mood Disorders 204 297 - Delusional Disorders 2 298 - Other Non-organic Psychoses 5 Note: of those who had Schizophrenic Disorder, 9 also had at least one diagnosis of 296 Episodic Mood Disorder. One individual who had a Episodic Mood disorder also had at least one diagnosis of 298 Other Non-organic Psychoses. Less that 1% of the population who are under the age of 18 in Pinellas County, Florida were identified with a substance abuse diagnosis (2005 U.S. Census data for 2005 (American Factfinder: http://factfinder.census.gov/servlet/acssafffacts?_event=search&geo_id=&_geocont ext=&_street=&_county=pinellas&_citytown=pinellas&_state=04000us12&_zip=&_la ng=en&_sse=on&pctxt=fph&pgsl=010) Part II: Issue/Problem/Concern: Zip code was not available for the majority of individuals during this time period. In attempts to still examine the question by zip code, another data pull was done on the previous year for the IDS system only (Dates used to pull data: 07/01/2004 through 06/30/2005) where zip code was available. IDS was used as it identified 93% of the population. In this fiscal year, 1,840 individuals were found to have residency in Pinellas, be under the age of 18 and have a substance abuse diagnosis. It can be assumed that this is an under estimation as other the other data systems were not used in the identification process due to time and resource constraints. The number of individuals identified in one zip code ranged from 1 to 108, the average being 34 and 22 counties having over the average. The count of individuals by zip code can be found in Appendix B: Conclusions / Recommendations: Further comparison of the distribution of the sample identified compared to the distribution of the population of individuals under 18 by zip code would be helpful to 4

examine if the pattern is due to the normal population density and/or distribution or potentially some other economic and/or social factors. The limitations of report: Age of a small proportion of the individuals identified were under the age of 10 and it brings up a question of validity of age (error in date of birth) or the ability of diagnosis an individual at such a young age. The number of individuals identified by the identification process, as there may be other resources to identify individuals there were not available. Residency of Pinellas County: Even though most individuals who reside in Pinellas County are served in Pinellas County, a small portion may not have been actual residents of Pinellas County. This report is over only one year of data and does not say anything about previous or future years. This report was generated in response to specific questions posed by member of the Pinellas Data Collaborative. It was created to inform administrative policy and program decisions that benefit the citizens of Pinellas County. Before reusing or citing findings in this report, please contact the Data Collaborative to ensure accurate understanding of the analyses and interpretation of the results. Questions should be directed to Diane Haynes at dhaynes@fmhi.usf.edu or 813-974-2056. 5

Appendix A: EMS does not have Race EMS only had diagnosis of 305 - drug non dep Diagnosis description has drug or alcohol Modified to 303 if alcohol and 305 if drug EMS Under 18 # % Male 36 59.02% Female 25 40.98% Unknown 0 0.00% 12 2 3.28% 13 3 4.92% 14 7 11.48% 15 7 11.48% 16 24 39.34% 17 17 27.70% Unknown 1 1.64% Diagnosis 303 - Alcohol Dependence 45 73.77% 304 - Drug Dependence 0 0.00% 305 - Non Dependence Drug Abuse 17 27.87% Also found in IDS 12 19.67% Also found in Medicaid 9 14.75% Medicaid Under 18 # % Male 71 43.83% Female 91 56.17% Unknown 0 0.00% Race 12 1 0.62% 13 8 4.94% 14 21 12.96% 15 29 17.90% 16 39 24.07% 17 64 39.51% Unknown 0 0.00% 6

White 100 65.36% Black 35 22.88% Oriental 1 0.65% Hispanic 5 3.27% Other 12 7.84% Missing 9 303 - Alcohol Dependence 1 0.62% 304 - Drug Dependence 20 12.35% 305 - Non Dependence Drug Abuse 145 89.51% Also found in IDS 38 23.46% Also found in EMS 9 5.56% IDS Under 18 # % Male 912 67.41% Female 441 32.59% Unknown 846 Under 10 87 3.96% 10 13 0.59% 11 19 0.86% 12 40 1.82% 13 112 5.09% 14 253 11.51% 15 448 20.37% 16 566 25.74% 17 661 30.06% Unknown 0 0.00% Race Ethnicity White 902 67.31% Black 348 25.97% Asian 14 1.04% American Indian 1 0.07% Other 75 5.60% Missing 859 Puerto Rican 33 2.53% Mexican 7 0.54% Cuban 3 0.23% Other Hispanic 36 2.76% None 1,225 93.94% Missing 895 7

303 - Alcohol Dependence 140 6.37% 304 - Drug Dependence 496 22.56% 305 - Non Dependence Drug Abuse 1,744 79.31% Also found in IDS 38 1.73% Also found in EMS 12 0.55% 8

Appendix B: Those under 18 years of age with Substance abuse Diagnosis (303,304,305) in Pinellas using the IDS - Statewide Mental Health and Substance Abuse reporting system for FY 2004. Note: 7% of the kids showed to be under 10 years of age N = 1,840 ZIP CODE NUMBER IND. UNDER 18 YOA % of IND. CUMULATIVE % 33712 108 5.87% 5.87% 33705 103 5.60% 11.47% 33711 101 5.49% 16.96% 33713 95 5.16% 22.12% 33781 95 5.16% 27.28% 33755 80 4.35% 31.63% 34698 67 3.64% 35.27% 33714 66 3.59% 38.86% 33710 64 3.48% 42.34% 33709 62 3.37% 45.71% 33702 60 3.26% 48.97% 33707 60 3.26% 52.23% 33782 57 3.10% 55.33% 34683 48 2.61% 57.93% 33756 47 2.55% 60.49% 33770 46 2.50% 62.99% 33760 41 2.23% 65.22% 33774 41 2.23% 67.45% 33701 40 2.17% 69.62% 33771 39 2.12% 71.74% 33777 36 1.96% 73.70% 34689 36 1.96% 75.65% 33773 34 1.85% 77.50% 33778 32 1.74% 79.24% 33759 31 1.68% 80.92% 33772 30 1.63% 82.55% 34695 28 1.52% 84.08% 33703 27 1.47% 85.54% 33704 27 1.47% 87.01% 34677 27 1.47% 88.48% 33764 25 1.36% 89.84% 33765 22 1.20% 91.03% 33776 21 1.14% 92.17% 33708 20 1.09% 93.26% 34685 20 1.09% 94.35% 33763 18 0.98% 95.33% 34684 18 0.98% 96.30% 33706 12 0.65% 96.96% 33761 12 0.65% 97.61% 9

33716 8 0.43% 98.04% 33785 7 0.38% 98.42% 33762 5 0.27% 98.70% 34688 5 0.27% 98.97% 34681 3 0.16% 99.13% 33715 2 0.11% 99.24% 33731 2 0.11% 99.35% 33733 2 0.11% 99.46% 33767 2 0.11% 99.57% 33775 2 0.11% 99.67% 33780 2 0.11% 99.78% 33740 1 0.05% 99.84% 33757 1 0.05% 99.89% 33769 1 0.05% 99.95% 33784 1 0.05% 100.00% 1840 10