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Measuring Prevalence of Disrespect and Abuse during Childbirth in Tanzania and Ethiopia:

Measuring Prevalence of Disrespect and Abuse during Childbirth in Tanzania and Ethiopia: The Hansen Project . Hannah Ratcliffe June 24, 2014. Partnerships. Study Areas. Dar es Salaam, Tanzania. Amhara & SNNP Regions, Ethiopia. Photo credit : Brenda D’mello , CCBRT.

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Measuring Prevalence of Disrespect and Abuse during Childbirth in Tanzania and Ethiopia:

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  1. Measuring Prevalence of Disrespect and Abuse during Childbirth in Tanzania and Ethiopia: The Hansen Project Hannah Ratcliffe June 24, 2014

  2. Partnerships

  3. Study Areas Dar es Salaam, Tanzania Amhara & SNNP Regions, Ethiopia Photo credit: Brenda D’mello, CCBRT Photo credit: Kelly Ramundo/USAID

  4. Study Design • Baseline study • TZ: April – August, 2013; ET: July – September, 2013 • What are types and prevalence of disrespect and abuse among women delivering in public health facilities? • What are factors associated with disrespect and abuse? • Intervention Phase (ongoing) • Which locally acceptable, effective, and sustainable intervention(s) can reduce disrespect and abuse during childbirth? • Evaluation

  5. Research Methods

  6. Seven Categories of Disrespect and Abuse Bowser and Hill 2010

  7. Operationalizing the 7 Categories

  8. Calculating Prevalence • Cross-country and cross-regional comparisons using a variety of methods have yielded several lessons learned: • Context matters • Timing and setting matter • Question phrasing matters • And several outstanding questions: • Whose opinion counts? • How is reporting influenced by normalization and biases?

  9. Calculating Prevalence—Context Matters Differences between countries at exit interview:

  10. Calculating Prevalence—Context Matters Differences by region within countries:

  11. Calculating Prevalence—Timing & Setting Matter Differences between reporting at Exit and CFU interviews:

  12. Calculating Prevalence—Phrasing Matters

  13. Calculating Prevalence: Whose opinion matters? Comparing prevalence from interviews and observations:

  14. Reporting: Normalization and Bias • “Prevalence” from exit interview/CFU is actually reported prevalence • Reporting is as complicated and personal as the experiencing of the event • Evidence of possible normalization—comparing observation and exit interviews • Bias in reporting caused by: • Post-delivery factors: exhaustion, relief, etc. • Fear of retribution

  15. Conclusions and Next Steps • Will report “prevalence” primarily as experienced D&A from exit interviews and community follow-up • Working to determine an appropriate way to calculate observed prevalence • Evaluation in Tanzania will be based on community follow-up • Evaluation design in Ethiopia still pending

  16. Acknowledgements • John and Katie Hansen Family Foundation • Tanzania Ministry of Health and Social Welfare • Ethiopia Federal Ministry of Health

  17. Thank You! Hannah Ratcliffe hratclif@hsph.harvard.edu www.maternalhealthtaskforce.org www.womenandhealthinitiative.org

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