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RHINO Gender and Health Information Systems Forum Kick-off Webinar

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Slides from the RHINO Gender and Health Information Systems Forum Kick-off Webinar presented by Jessica Fehringer and Brittany Schriver.

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RHINO Gender and Health Information Systems Forum Kick-off Webinar

  1. 1. Jessica Fehringer, PhD, MHS Brittany Schriver, MPH MEASURE Evaluation July 14-22,2015 Routine Health Information Network (RHINO) Online Forum Collecting,Analyzing, and Using Sex-disaggregated and Gender-sensitive Data in RHIS
  2. 2. Overview • Definitions • Gender and Health • Gender and RHIS • Q&A • Definitions
  3. 3. Definitions: Sex • Determined at birth based on biological characteristics • Universal for all human beings • Hard to change Source: USAID March 2012 Gender Equality and Female Empowerment Policy Biological classification of males and females
  4. 4. Definitions: Gender Culturally defined set of roles, duties, rights, responsibilities, and accepted behaviors associated with being male and female Source: IGWG training resources; USAID Gender Equality and Female Empowerment Policy • Power relations between and among women & men, boys & girls. • Vary across cultures and over time.
  5. 5. Definitions: Gender Equality The state that affords women, men, transgender persons equal enjoyment of human rights, socially valued goods, opportunities, and resources. Source: WHO 2009: Integrating gender into HIV/AIDS programmes in the health sector Gender inequality is the most pervasive form of social inequality; it cuts across all other forms such as class, caste, race and ethnicity • Expanded freedoms and improved quality of life for all people. • Comes from written and unwritten norms, rules, laws and shared understandings.
  6. 6. Definitions: Gender Equity The process of being fair to women & men, boys & girls, transgender persons. Source: IGWG training resources • Stress is on fairness as the end goal • Different/unequal needs & barriers affecting women, men, and transgender persons in accessing/benefiting from health-care facilities/programs must be considered in resource allocation & design • Should be inherent to policy/program M&E
  7. 7. Overview • Definitions • Gender and Health • Gender and RHIS • Q&A
  8. 8. Gender and Health Adherence to rigid gender roles can create a gender gap Women Men Source: WHO, Why Gender and Health? • unequal options, opportunities and realities that women and men experience
  9. 9. Source: World Health Organization http://www.who.int/gender/genderandhealth/en/index.html A teenage boy dies in accident because he tried to meet peers’ expectations that young men should take risks A woman cannot access needed maternal health care because she does not have control of the household money. A women contracts HIV because societal norms prevent wives from insisting on condom use with husbands, and yet tolerate husbands’extra-marital sex Gender and Health
  10. 10. Gender inequality is associated with poor outcomes such as • Higher child mortality, stunting & wasting • Lower maternal health care utilization, higher maternal mortality • Higher fertility, lower family planning use • GBV Gender inequality is a major driver of the AIDS epidemic and leads to lower awareness, knowledge • Higher risky sex & PMTCT, lower VCT & ARV • Higher prevalence & incidence Gender and Health
  11. 11. Addressing gender in health systems An integrative approach considers the impact of gender on the people, the health services, and the results Health problem Gender- specific needs and barriers Desired health outcomes Gender and Health
  12. 12. Overview • Definitions • Gender and Health • Gender RHIS • Q&A
  13. 13. Gender and RHIS RHIS provides evidence to: Raise awareness Advocate for change Address gender dimensions Demonstrate Progress Demand richer data
  14. 14. • National M&E strategic plans address gender inequalities in their objectives, frameworks, indicators and results • Data are sex- and age disaggregated at all stages of monitoring and evaluation (i.e., data collection, analysis and reporting) • HIS data are used for gender-related analyses and evaluations • There is coordination, information sharing and use of gender-related data across sectors What does a gender- integrated RHIS look like? Gender and RHIS
  15. 15. Sex Disaggregation Routine data: what do we need? Sex disaggregated data Allows for basic analysis: Are there gender differences in use of/access to services/treatment? For example: • Use of ART? Adherence? • Detection of TB? Referral for treatment? • Malaria testing and treatment? Gender sensitive data Focus on gender equality: For example: • Gender Based Violence (GBV) service encounters • Male attendance at antenatal care (ANC) visits
  16. 16. 0 50 100 150 200 250 August 2010 August 2011 August 2012 Number of clients (age 15-24) tested HIV positive through PIT, by month Total 0 50 100 150 200 250 August 2010 August 2011 August 2012 Number of clients (age 15-24) tested HIV positive through PIT, by month Female Male Why do we want to analyze and report data by sex? Sex Disaggregation
  17. 17. Sex Disaggregation Indicators HIV referral completion Proportion of referred clients that completes referral at receiving service • Numerator: Number of referred men and women seen at receiving service. • Denominator: Number of men and women referred from initiating service. Data source: HIS
  18. 18. Sex Disaggregation Indicators • Numerator: Number of new smear- positive pulmonary TB cases registered in a specified period that were cured by sex • Denominator: Total number of new smear-positive pulmonary TB cases registered in the same period by sex Tuberculosis: cure rate Disaggregation by sex will illustrate if men or women disproportionately higher rates of treatment leading to cure Data source: HIS
  19. 19. Male Engagement Has there been an increase in male involvement in reproductive health programs? • Data: Percent male clients receiving RH services (data collected at multiple time points) Data source: HIS Gender Sensitive Indicators
  20. 20. Gender Based Violence (GBV) Number of GBV service-encounters at a health facility (P12.6.D PEPFAR Output) Disaggregated by the age group and sex of the client receiving the service. Gender Sensitive Indicators • Numerator: Number of GBV-related service-encounters. • Denominator: N/A
  21. 21. Gender Based Violence (GBV) Percentage of health facilities with Gender-Based Violence and Coercion (GBV) services available (P12.7.D PEPFAR Output) Disaggregated by type of service and type of facility Gender Sensitive Indicators • Numerator: Number of health facilities reporting that they offer (1) GBV screening and/or (2) assessment and provision or referral to the relevant service components for the management of GBV-related health needs as defined below. • Denominator: Total number of health facilities in the region or country being measured.
  22. 22. Gender and RHIS • Ensure data are collected, analyzed and reported on by sex • Train all M&E personnel on gender-focused monitoring, evaluation and research • Carry out and disseminate gender-based analysis of health data • Use gender-based analysis results in program and policy decision-making • Create feedback mechanisms to share results of gender-based analyses and evaluations How do we ensure RHIS addresses gender?
  23. 23. Overview • Definitions • Gender and Health • Gender and M&E • Q&A
  24. 24. MEASURE Evaluation gender website www.measureevaluation.org/gender Gender and Health Systems Strengthening e-learning course https://www.globalhealthlearning.org/course/gender-and-health-systems- strengthening Compendium of Gender Equality and HIV Indicators http://www.cpc.unc.edu/measure/publications/ms-13-82 VAW/G compendium https://www.cpc.unc.edu/measure/publications/ms-08-30 Gender M&E Online course: http://www.globalhealthlearning.org/course/gender-m-e Gender scales http://www.c-changeprogram.org/content/gender-scales-compendium/index.html K4 Health IGWG Gender and Health Toolkit http://www.k4health.org/toolkits/igwg-gender Resource guide for gender data and statistics https://www.cpc.unc.edu/measure/publications/ms-12-52 EMAIL US! GenderM&E@unc.edu Resources and Tools
  25. 25. MEASURE Evaluation is funded by the U.S. Agency for International Development (USAID) under terms of Cooperative Agreement AID-OAA-L-14-00004 and implemented by the Carolina Population Center, University of North Carolina at Chapel Hill in partnership with Futures Group, ICF International, John Snow, Inc., Management Sciences for Health, and Tulane University. The views expressed in this presentation do not necessarily reflect the views of USAID or the United States government. www.measureevaluation.org

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