Strategic Data Communication for HIV Prevention Programs. January 20, 2016

Transcription

1 Strategic Data Communication for HIV Prevention Programs January 20, 2016

2 Introduction o NASTAD Webinar Agenda HIV Prevention Program Data Quality Assurance o Nicole Kolm-Valdivia, Iowa Department of Public Health Optimizing Data for Program Enhancement: Partnering with CBOs o Fatima Elamin, Virginia Department of Health o Ashley Yocum, Virginia Department of Health Audience Q&A and Discussion

3 HIV Program Data

4 Data Should Work for You Accountability for programs Funding Increased focus on data-based approaches o Quality data Feedback loops

5 Webinar Objectives 1. Understand the benefits of two-way data communication between the health department and grantees. 2. Gain examples of data communication tools that can be used to succinctly provide feedback to HIV prevention grantees. 3. Learn how proactive communication and data feedback loops can facilitate quality improvement in data completion and targeting HIV testing.

6 Strategic Data Communication for HIV Prevention Programs N I C O L E K O L M V A L D I V I A, P H D, M P H H I V P R E V E N T I O N P R O G R A M I O W A D E P A R T M E N T O F P U B L I C H E A L T H

7 Background Iowa has 10 contractors which deliver HIV rapid testing services All contractors conduct direct data entry into EvaluationWeb Iowa has its own instance of EvaluationWeb. Hepatitis (HCV testing and A/B Imms) is integrated into the system.

8 HIV Prevention Program Data Quality Assurance What is Data Quality Assurance (DQA)? It is the process of verifying, correcting, and maintaining data sets so that the data have high quality. High quality data accurately describe an agency s activities, the populations they are reaching, and the impact on HIV prevention. The quality of data influences decision making.

9 Data Quality Assurance Purposes: Highlight data errors and discrepancies Highlight records of HIV-positive clients to ensure agency stays on top of following up and making referrals Increase agency awareness of progress toward meeting goals Increase agency awareness of positivity rate and percentage of testing to MSM

10 Data Quality Assurance Process Three data sources: CTR contractors are required to enter data into EvalWeb within 72 hours of test administration They complete their own quality assurance report (from their rapid testing logs) and that to IDPH by the 10 th of each month The state lab (conducts confirmatory testing) s a monthly report to IDPH IDPH analyzes data in EvaluationWeb, compares it to the agency s own QA report & the lab report, and enters the results into an Excel spreadsheet

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12 Data Quality Assurance Process The Viral Hepatitis Coordinator completes the Hepatitis portions of the spreadsheet The spreadsheet is ed out to each individual agency (supervisors included) They are asked to make any necessary changes within 2 weeks

13 Language

14 Other Methods for Improving Data Quality In-person trainings, as requested Counseling, Testing, & Referral Guide Screenshots of data entry into EvalWeb Guide to improving data quality Common data error guide Troubleshooting in EvalWeb Site visits

15 Outcomes and Feedback from Contractors Data errors have significantly decreased Data quality has significantly improved, as evidenced by CDC data quality feedback reports Follow up for HIV-positive clients is more closely monitored Agencies appreciate having frequent feedback and the ability to quickly correct errors Supervisors appreciate being able to easily monitor progress toward meeting goals and objectives Supervisors also appreciate that we take the burden of ensuring data quality off their plate

16 Tips Reinforce that the purpose is not punitive! Ask each agency who should receive the monthly DQA report Eg. If there s an Admin Asst who does data entry, then he/she should be included since he/she will be making corrections Create canned reports in EvalWeb that agencies can use to check their own data monthly before you do Include praise!

17 Other Tips Options for states with many test sites: Focus on follow up for HIV-positive clients Consider sending out DQA checks every two months (instead of monthly) Rather than comparing data between the agency s own QA report (from the rapid testing logs), the lab, and EvaluationWeb, simply focus just on data within EvalWeb Create canned QA reports within EvalWeb, and have the agencies assign their own QA person to run the reports and make corrections (guidance can be created to assist with this)

18 Thank you! N I C O L E. K O L M - V A L D I V I I D P H. I O W A. G O V ( )

19 Optimizing Data for Program Enhancement: Partnering with our CBOs January 20, 2016 Virginia Department of Health Fatima Elamin, CAPUS Program Coordinator Ashley Yocum, CAPUS Contract Monitor

20 Data communication with Virginia Community Based Organizations (CBO) 1. Routine HIV testing data reports 2. HIV testing analysis to increase testing among men 3. Evaluation Web access and training for Virginia CBOs 4. Internal use of the NASTAD Yield Analysis Toolkit

21 1. Routine HIV Testing Data Reports Individualized reports prepared by Division of Disease Prevention and shared with each funded CBO to: Compare actual attainment to program targets Assess reach to high-risk populations Compare HIV testing efforts by region and locality Enhance communication between management and program staff regarding performance

22 Gender Gender of PLWHA in Crater Gender of MHC's CAPUS Clients 76% 24% Female 43% Male 57% Female Male Gender of Positive Clients Total Number Percentage Male Total Total Number of Tests 873 N/A

23 Race/Ethnicity Race/Ethnicity Combined of PLWHA in Arlington 3% 2% 16% 34% 45% Black, non- Hispanic White, non- Hispanic Hispanic (all races) Asian/Hawaiian /Pacific Islander Multirace/Unknown 42% Race/Ethnicity Combined of NovaSalud's CAPUS Clients 2% 2% 29% 25% Black, non- Hispanic White, non- Hispanic Hispanic (all races) Asian/Hawaiian/ Pacific Islander Multirace/Unknown Race/Ethnicity of Positive Clients Total Number Percentage Black/African American 4 80 Hispanic 1 20 Total Total Number of Tests 607 N/A

24 Risk Category Risk or Transmission Category of PLWHA in Southwest 25.73% 18.92% 43.40% Male to male sexual contact (MSM) Injection drug use (IDU) Heterosexual contact Risk or Transmission Category of CCS' CAPUS Clients 25.59% 6.28% 1.26% 64.99% Male to male sexual contact (MSM) Injection drug use (IDU) Heterosexual contact 7.96% No risk factor reported or identified No risk factor reported or identified Risk Categories of Positive Clients Total Number Percentage High-risk heterosexual contact MSM Unknown Total Total Number of Tests 873 N/A

25 2. Increasing HIV Testing Among Men Yield analysis focusing on the different HIV epidemics among men and women Presents epidemiological data in a new, more user-friendly way Reinforces the need to test more men, particularly MSM Includes a cost analysis to guide outreach efforts

26 HIV Testing Among Men and Women: A Yield Analysis

27 What does the HIV epidemic look like among men and women in Virginia?

28 Number of People Living with HIV/AIDS in Virginia Total Number of People Living with HIV/AIDS in VA = 25,690 Risk Categories of Total Men Living with HIV/AIDS in Virginia Total Number of Men Living with HIV/AIDS in VA = 19,109 MSM 1% 15% IDU 26% 74% Males Females 5% 8% 8% 63% MSM/IDU Heterosexual Contact Pediatric No Risk Factor

29 What does HIV testing look like for ALL DDP-sponsored programs? Category A, Category B, and CAPUS CBOs, Health Departments, STD Clinics, CSBs, etc.

30 2014: 78,194 total tests 45,530 women 33,082 men 153 Trans MTF

31 2014: 229 positives 192 Men 34 Women 3 Trans MTF

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33 Before identifying ONE positive individual

34 How are Virginia s CBOs doing with their targeted testing? In 2014: 15,905 total tests 76 newly confirmed HIV positives Includes Category A, Category B, and CAPUS

35 15,905 Total Tests 44% Female 55% Male.7% Trans MTF

36 76 Newly Identified Positives 14% Female 84% Male 1.3% Trans MTF

37 Before identifying ONE positive individual

38 Let s look at some examples

39 #1 2,558 Tests 16 New Positives

40 #2 1,100 Tests 3 New Positives

41 Cost per test

42 What about the women?

43 HIV Cluster Treatment as Prevention Getting him tested, will protect her Partner Services Possible candidate for PrEP

44 What does all of this mean? Targeted testing Test more MSM Test MORE men Creative strategies Don t stop testing women Test MORE people at risk

45 3. Evaluation Web Access and Training Provides CBOs ownership of their HIV testing data, including the ability to run customized data reports Serves as an additional quality assurance tool to assess program performance CBOs can see the same data that DDP inputs Gives CBOs the ability to generate reports for grant applications and for community partners Reduces the number of data requests received by DDP

46 4. Internal use of the NASTAD Yield Analysis Toolkit Brainstorming session with Data, HIV Testing, and M&E teams Working to customize NASTAD s toolkit for Virginia contractors

47 Fatima Elamin Ashley Yocum Heather Bronson

48 Questions Verbal Questions o Press *7 to unmute o Press *6 to re-mute o Please identify yourself Written Questions o Submit using chat If you have questions regarding this webinar, please contact Erin Bascom (ebascom@nastad.org)

49 THANK YOU!