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Researchers Share Lessons Learned From Measuring the Prevalence of Disrespect and Abuse

Posted on October 27, 2017October 27, 2017

By: Sarah Hodin, MPH, CD(DONA), LCCE, National Senior Manager of Maternal Newborn Health Programs, Steward Health Care

Disrespect and abuse (D&A) during facility-based childbirth has been identified as a widespread problem, but just how commonly it happens is not well understood. Several studies have attempted to measure the prevalence of D&A during childbirth in health facilities across the globe, resulting in a wide range of estimates. Given that variations in reported prevalence may be at least in part the result of differences in definitions, measurement tools and data collection methods, comparing the extent of D&A across diverse settings remains challenging.

In order to better understand the trade-offs related to various methods for measuring the prevalence of D&A, the Maternal Health Task Force (MHTF)’s Rima Jolivet and Harvard Chan doctoral student David Sando conducted a systematic literature review to find all of the studies that have attempted to measure D&A during childbirth in health facilities. They then collaborated with the authors of these studies to compare methods and offer lessons learned.

The following five studies were included in the review:

  • Exploring the prevalence of disrespect and abuse during childbirth in Kenya | PLOS One (2015)
  • Disrespectful and abusive treatment during facility delivery in Tanzania: A facility and community survey | Health Policy and Planning (2014)
  • Disrespect and abuse during facility-based childbirth in a low-income country | International Journal of Gynecology & Obstetrics (2014)
  • Status of respectful and non-abusive care during facility-based childbirth in a hospital and health centers in Addis Ababa, Ethiopia | Reproductive Health (2015)
  • The prevalence of disrespect and abuse during facility-based childbirth in urban Tanzania | BMC Pregnancy and Childbirth (2016)

The prevalence estimates in these five studies ranged from 15% to 98%. Given that all of these studies were conducted in low-resource settings in sub-Saharan Africa with similar maternal health delivery systems, the wide variation was likely due at least in part to differences in the way that researchers chose study sites and participants, defined D&A and collected data from participants.

Recommendations for future studies

The authors offered recommendations for researchers conducting studies that involve measuring the prevalence of D&A in order to maximize reliability, validity and comparability of results:

  1. Study site and population: Ensuring that there are no systematic differences in the study sample compared to the target population is important.
  2. Inclusion criteria: All women receiving maternity care in the study facility should have equal chance of being included regardless of their pregnancy outcomes. Stratified analyses can be used to examine different sub-groups of interest.
  3. Standardization vs. localization: Standardization of measurement across different study populations would ensure comparability of findings between studies, but ensuring valid measures that capture the constructs of D&A as perceived and experienced in the local context is also key. It is therefore important to acknowledge the tension between standardization and localization in developing instruments to measure the prevalence of D&A. Use of standard categories could help maximize comparability, while some leeway may be needed for context-specific operationalization of those categories.
  4. Environment: When possible, conducting interviews with women in a safe, neutral setting outside of the health facility where they may have experienced D&A can help participants feel more comfortable and open.
  5. Timing: In contrast to the typical understanding of recall deteriorating over time, in this context, women’s self-reports of D&A may be more accurate when solicited after they have had some time to process their experiences. More research is needed in this area.
  6. Data collection methods: Direct observation is generally regarded as the gold standard for measuring observable phenomena in prevalence studies. However, if the outcome of interest is women’s experiences of care, using women’s self-reports–ideally collected using patient-developed or patient-validated measures and participatory research techniques—is a better method.

Are you working on measuring the prevalence of disrespect and abuse during facility-based childbirth? We want to hear from you!

—

Read the full open access paper, “Methods used in prevalence studies of disrespect and abuse during facility based childbirth: Lessons learned.”

Learn more about respectful maternity care on the MHTF’s topic page and related blog series.

Watch a video of a webinar featuring Rima Jolivet and David Sando that the MHTF co-hosted with Ariadne Labs titled, “Integrating Respectful Maternity Care Into Quality Improvement Initiatives.”

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CATEGORIESCATEGORIES: Respectful Maternity Care Series
TOPICSTOPICS: Facility-based Births Gender-based Violence Health Systems Human Resources for Health Intrapartum Care Monitoring & Evaluation Policy & Advocacy Quality of Care Respectful Maternity Care Social Determinants
GEOGRAPHIESGEOGRAPHIES: Ethiopia Kenya Tanzania

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This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) under grant T76MC00001 and entitled Training Grant in Maternal and Child Health. This information or content and conclusions are those of the author and should not be construed as the official position or policy of, nor should any endorsements be inferred by HRSA, HHS or the U.S. Government.
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