1 / 23

Janet Storey, Prevention Data Infrastructure Manager,

Join expert speakers Janet Storey, Manager of Prevention Data Infrastructure at CT Department of Mental Health, and May Yamate, Northeast Regional Epidemiologist, as they guide a session focused on developing subregional epidemiological profiles. This workshop aims to clarify goals for creating effective profiles, leveraging past feedback, and addressing the challenges faced in data collection and reporting. Participants will engage in collaborative activities to construct a comprehensive framework for understanding community health trends and challenges.

caia
Télécharger la présentation

Janet Storey, Prevention Data Infrastructure Manager,

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Regional Action CouncilLearning Communities Series: Building Capacity to Produce Epidemiological Profiles Janet Storey, Prevention Data Infrastructure Manager, CT Department of Mental Health and Addiction Services, Prevention and Health Promotion Division May Yamate, Regional Epidemiologist , CAPT Northeast Regional Team

  2. WELCOME BACK!

  3. Overview of Today’s Session • Why are we here • Objectives and Goals for Session 2 • Leaning Community Session 1 Summary: Feedback from RAC Directors • Group Activity—Developing a Subregional Epidemiological Profile

  4. Why Are We Here and Goals/Objectives Why are we here? • Feedback received from the 2010 Subregional profiles • CSAP • DMHAS Objectives • Know the components that go into a subregional epidemiological profile Goals • Construct a subregional epidemiological profile

  5. Learning Community Session 1 Summary:Feedback session from RAC Directors • 2010 process in producing SubregionalEpi Profile • Had less structure and guidance when compared to the 2008 process • Tight timeline • Addition of two indicators: suicide and problem gambling • Overwhelmed by information received from DMHAS • no guidance from DMHAS on what to do with all this information

  6. Learning Community Session 1 Summary:Feedback session from RAC Directors (cont) • Resulted in: • RAC Directors losing credibility from their community • Not being able to disseminate their subregional region profiles

  7. Learning Community Session 1 Summary:Feedback session from RAC Directors (cont) • Challenges RAC Directors face • Meeting the needs of three audiences • CSAP • DMHAS • Community • What to do when there is lack of data or no data

  8. Learning Community Session 1 Summary:Feedback session from RAC Directors (cont) • What RAC Directors want from DMHAS • Clear guidance and instruction on how to put together the subregionalepi report SUMMARY: “Fixing what has been broken”

  9. Group Activity Creating a Subregional Epidemiological Profile

  10. SubregionalEpi Profile Outline • Overall skeleton • Front • Introduction • Middle • Back

  11. SubregionalEpi Profile--FRONT • Cover page • Title • Year • Organization • Table of contents • Executive summary

  12. SubregionalEpi Profile--INTRODUCTION • Data selection process • Steps used to decide what data to include and not include • List of data source used • BRFSS, YRBS, NSDUH, MTF, local or state surveys • Indicator: alcohol consumption and consequence, drug consumption and consequence • Construct: current use, past year use, lifetime use, age of first use, mortality, vehicle crashes, crime, dependence or abuse • Time period

  13. SubregionalEpi Profile: INTRODUCTION (cont) • Data Limitations and data gaps • Response rate to surveys • Small numbers once you get down at the local level • Lack of data for specific subpopulations • older adults • Race/ethnicity • Young adults not in college • Youths not in school

  14. SubregionalEpi Profile: MIDDLE • Sociodemographic • Population size • Total • Breakout by: • Gender • Age • Race/Ethnicity • Median household income • Individuals below the poverty line

  15. SubregionalEpi Profile: MIDDLE (cont) CONSUMPTION • Size/magnitude • Trends over time • Relative comparisons • National level • State level • Seriousness/Severity • Years of potential life lost (YPLL) • Economic costs CONSEQUENCES • Size/magnitude • Trends over time • Relative comparisons • National level • State level • Seriousness/Severity • Years of potential life lost (YPLL) • Economic costs

  16. SubregionalEpi Profile: MIDDLE (cont) • Risk and Protective Factors (some examples) • Age of onset • Peers engaging in problem behavior • Low perception of harm • Perceived risk

  17. SubregionalEpi Profile: MIDDLE (cont) • Risk and Protective Factors (some examples--cont) • Parental monitoring (or perception of monitoring) • Parent or older sibling drug use (or perception of use) • Strong parent and adolescent relationship and family cohesion

  18. SubregionalEpi Profile: MIDDLE (cont) • Risk and Protective Factors: Alcohol • Perceived risk of using alcohol • Easy retail access • Low enforcement of laws or perceived risk of getting caught • Lack of parental monitoring • Promotion and pricing

  19. SubregionalEpi Profile: BACK • Conclusions • Appendices

  20. BREAK

  21. Group Activity (Continued)

  22. Q & A

  23. Learning Community: Part 3 • Discuss homework assignment • Begin thinking about selecting data indicators Next Meeting March 30, 2011 8:30 am – 12:30 pm

More Related