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Methods used in prevalence studies of disrespect and abuse during facility based childbirth: lessons learned

Overview of attention for article published in Reproductive Health, October 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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23 X users
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4 Facebook pages
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4 Wikipedia pages

Citations

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103 Dimensions

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304 Mendeley
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Title
Methods used in prevalence studies of disrespect and abuse during facility based childbirth: lessons learned
Published in
Reproductive Health, October 2017
DOI 10.1186/s12978-017-0389-z
Pubmed ID
Authors

David Sando, Timothy Abuya, Anteneh Asefa, Kathleen P. Banks, Lynn P. Freedman, Stephanie Kujawski, Amanda Markovitz, Charity Ndwiga, Kate Ramsey, Hannah Ratcliffe, Emmanuel O. Ugwu, Charlotte E. Warren, R. Rima Jolivet

Abstract

Several recent studies have attempted to measure the prevalence of disrespect and abuse (D&A) of women during childbirth in health facilities. Variations in reported prevalence may be associated with differences in study instruments and data collection methods. This systematic review and comparative analysis of methods aims to aggregate and present lessons learned from published studies that quantified the prevalence of Disrespect and Abuse (D&A) during childbirth. We conducted a systematic review of the literature in accordance with PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analysis) guidelines. Five papers met criteria and were included for analysis. We developed an analytical framework depicting the basic elements of epidemiological methodology in prevalence studies and a table of common types of systematic error associated with each of them. We performed a head-to-head comparison of study methods for all five papers. Using these tools, an independent reviewer provided an analysis of the potential for systematic error in the reported prevalence estimates. Sampling techniques, eligibility criteria, categories of D&A selected for study, operational definitions of D&A, summary measures of D&A, and the mode, timing, and setting of data collection all varied in the five studies included in the review. These variations present opportunities for the introduction of biases - in particular selection, courtesy, and recall bias - and challenge the ability to draw comparisons across the studies' results. Our review underscores the need for caution in interpreting or comparing previously reported prevalence estimates of D&A during facility-based childbirth. The lack of standardized definitions, instruments, and study methods used to date in studies designed to quantify D&A in childbirth facilities introduced the potential for systematic error in reported prevalence estimates, and affected their generalizability and comparability. Chief among the lessons to emerge from comparing methods for measuring the prevalence of D&A is recognition of the tension between seeking prevalence measures that are reliable and generalizable, and attempting to avoid loss of validity in the context where the issue is being studied.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 304 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 304 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 16%
Student > Master 43 14%
Student > Ph. D. Student 30 10%
Student > Bachelor 18 6%
Student > Doctoral Student 15 5%
Other 45 15%
Unknown 105 35%
Readers by discipline Count As %
Nursing and Health Professions 69 23%
Medicine and Dentistry 53 17%
Social Sciences 28 9%
Engineering 6 2%
Business, Management and Accounting 5 2%
Other 31 10%
Unknown 112 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 January 2024.
All research outputs
#1,792,772
of 24,723,421 outputs
Outputs from Reproductive Health
#169
of 1,523 outputs
Outputs of similar age
#35,451
of 329,637 outputs
Outputs of similar age from Reproductive Health
#6
of 40 outputs
Altmetric has tracked 24,723,421 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,523 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,637 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.