1. Mental Health Data Available through the IPRC CTC SKYPE Meeting January 18, 2012

2. New in County Profiles, Series 8 Mental Health Data Indiana County Health Rankings Updates to existing data sections Addition of more links to complementary data More background through Introductions

3. How to Find the Data:

4. GIS in Prevention, County Profiles, Series 8

7. Mental Health Data

9. Topics addressed in Introduction Mental Health Health-Related Quality of Life Poverty: A Risk Factor for MH and BH Substance Abuse and Mental Health Depression Anxiety and Stress Suicide Cost Prevention Appendix of State Level Stats Additional Resources

10. Mental Health Data

11. Unhealthy Days Disorder Deaths Suicide Totals by: Race/Ethnicity/ Sex/Race+Sex/Ethnicity +Sex Access to Care Uninsured Adults Providers Family Social Support No Social or Emotional Support Substance Abuse

12. Mental Health Data Unhealthy Days Mental Disorder Deaths Suicide Totals by: – Race – Ethnicity – Sex – Race+Sex – Ethnicity +Sex Access to Care Uninsured Adults Providers Family Social Support No Social/Economic Support Substance Abuse

13. Mental Health Data Includes comparison to State stat: IN, 3.6

14. Mentally Unhealthy Days/Mo. CountyMentally Unhealthy Days Whitley2.2 Hamilton2.6 Clay3.2 Bartholomew3.3 Fulton3.3 Lake3.4 Henry3.5 CountyMentally Unhealthy Days Warrick3.5 Johnson3.6 Cass3.7 DeKalb3.7 Marion3.8 Howard3.9 Scott5.5 Indiana3.6 Source: CHR, 2011 (based on CDC, BRFSS, years 2003-2009)

15. Mental Disorder Deaths For counts of less than 5, the data is not shown out of concern for confidentiality. This is a matter of policy. Therefore, where no data is presented, this could mean 0-4 instances. +1

16. Mental Disorder Deaths COTotWBH Bartholomew18 Cass12 Clay DeKalb14 Fulton Hamilton3837 Henry24 Source: Quick Health Data Online, 2010 (based on NCHS, 2007, NVSS Mortality) COTotWBH Huntington14 Johnson35 Lake144125186 Marion26420954 Scott66 Warrick19 Whitley TotWBH INDIANA1,7451,63510714 For counts of less than 5, the data is not shown out of concern for confidentiality. This is a matter of policy. Therefore, where no data is presented, this could mean 0-4 instances.

17. Suicide Deaths by Sex For counts of less than 5, the data is not shown out of concern for confidentiality. This is a matter of policy. Therefore, where no data is presented, this could mean 0-4 instances. COTotFM Bartholomew9 8 Cass Clay DeKalb7 6 Fulton Hamilton248 16 Henry9 8 TotFM INDIANA790166 624 COTotFM Huntington Johnson12 8 Lake5511 44 Marion11419 95 Scott Warrick6 5 Whitley5 Source: Quick Health Data Online, 2010 (based on NCHS, 2007, NVSS Mortality)

18. Suicide Deaths by Sex + Ethnicity For counts of less than 5, the data is not shown out of concern for confidentiality. This is a matter of policy. Therefore, where no data is presented, this could mean 0-4 instances.

19. Mental Health Data Unhealthy Days Disorder Deaths Suicide Totals by: – Race – Ethnicity – Sex – Race+Sex – Ethnicity +Sex Access to Care Uninsured Adults Providers Family Social Support No Social or Emotional Support Substance Abuse

20. Access to Care, Rank CORANK Bartholomew21 Cass74 Clay51 DeKalb11 Fulton62 Hamilton2 Henry33 COTot Huntington31 Johnson6 Lake65 Marion13 Scott19 Warrick1 Whitley35 Source: CHR, 2011 (based on Small Area Health Insurance Estimates, US Census, Health Resources and Services Administration data, 2007-2008)

21. Uninsured: Percent of Adults County% Hamilton11 Warrick12 Johnson12 DeKalb13 Scott13 Henry13 Whitley13 County% Huntington14 Clay15 Bartholomew15 Fulton15 Marion16 Lake16 Cass17 Source: CHR, 2011 (based on Small Area Health Insurance Estimates, US Census, 2007) Percent INDIANA15

22. Family and Social Support, Rank CountyRANK Hamilton3 Whitley5 Warrick12 DeKalb24 Henry30 Cass32 Huntington38 CountyRANK Bartholomew39 Johnson44 Clay68 Fulton69 Scott80 Lake89 Marion90 Source: CHR, 2011 (based on CDC, BRFSS; & US Census, American Community Survey, 2005-2009.

23. No Social or Emotional Support (%) County% Hamilton13 Whitley13 DeKalb16 Warrick17 Bartholomew18 Henry18 Huntington20 County% Johnson21 Clay21 Fulton22 Lake23 Marion23 Cassn/a Scottn/a Source: CHR, 2011 (based on CDC, BRFSS; & US Census, American Community Survey, 2005-2009. Percent INDIANA20

24. Mental Health Data

25. Substance Use Data for Mental Health Community Level Epidemiological Indicators in County Profiles Community Level Epidemiological Indicators Alcohol and Drug Mortality Data Mortality is the most commonly used indicator of the severity of health problems. The causes of death presented are directly or indirectly associated with alcohol or drug abuse. Community Level Epidemiological Indicators Alcohol and Drug -Related Arrest Data Alcohol and Drug-Related Arrests calculated using the FBI UCR and the FBI fractions that estimate the percent of crimes such as murders and burglaries that were committed under the influence of drugs or alcohol. Community Level Epidemiological Indicators Episode Data by Year, Social Demographics, Primary Drug of Abuse, and Treatment Modality Counts of episodes where services were received from state funded substance abuse treatment programs. Demographics are based on county of residence of person receiving treatment. By primary drug of abuse and treatment modality. Can be searched by gender, age, race, ethnicity, and combinations thereof. Community Level Epidemiological Indicators Episode Data by Year, Social Demographics and Primary Drug of Abuse Counts of episodes where services were received from state funded substance abuse treatment programs. Demographics are based on county of residence of person receiving treatment. By primary drug of abuse. Can be searched by gender, age, race, ethnicity, and combinations thereof.

26. Mental Health Risk Factor: Substance Abuse Data Data by: Gender Race Ethnicity Age Primary Drug of Abuse County of Residence

27. Marion County SA-Related Mortality 3 drug-related deaths, all females 1,247 alcohol-related dead: 712 males and 535 females

28. DeKalb County SA-Related Arrests 3 drug-related deaths, all females Drug-Related Arrests Alcohol-Related Arrests

29. Treatment Episodes Across Primary Drug GENDERCOUNT Female27 Male75

30. Treatment Episodes Across Primary Drug GENDERAGECOUNT Male1-1711 Male18-249 Female25-342 Male25-342 Male35-442 Male45-641

31. Mental Health Risk Factors in: Indiana County Health Rankings Data by: Health Outcomes & Health Factors, incl. Health Behaviors Clinical Care Social/Econ Factors Ranking from : Best Health (1) to Worst (92) Examples: Mentally Unhealthy Days Family and Social Support System

32. IN County Health Rankings & MH TOP 10 (Best to Less Best) Health Outcomes RankHealth Factors Rank 1Hamilton 2DuboisHendricks 3Boone 4LaGrangeWarrick 5HendricksHancock 6WarrickDubois 7DeKalbMonroe 8WellsJohnson 9WhitleyWells 10MarshallSpencer Bottom 10 (Worst to Less Worse) Health Outcomes RankHealth Factors Rank 92ScottLake 91Starke 90PikeJennings 89SwitzerlandMarion 88FayetteBlackford 87SullivanOwen 86MartinWashington 85JenningsFayette 84LakeMadison 83JayCrawford Overall Health & Mental Health

33. Family and Social Support Including Family and Social Support Rank Hamilton (3) Warrick (6) DeKalb (24) Cass (32) Bartholomew (39) Clay (68) Scott (80) Lake (89) Marion (90)

34. Thank you very much! For more information contact: Barbara Seitz de Martinez, PhD, MLS, CPP Deputy Director Indiana Prevention Resource Center seitzb@indiana.edu 812-855-6776