The confidante method to measure abortion: implementing a standardized comparative analysis approach across seven contexts
- PMID: 37491276
- PMCID: PMC10369773
- DOI: 10.1186/s12963-023-00310-0
The confidante method to measure abortion: implementing a standardized comparative analysis approach across seven contexts
Erratum in
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Correction: The confidante method to measure abortion: implementing a standardized comparative analysis approach across seven contexts.Popul Health Metr. 2023 Aug 1;21(1):11. doi: 10.1186/s12963-023-00311-z. Popul Health Metr. 2023. PMID: 37528433 Free PMC article. No abstract available.
Abstract
Background: Obtaining representative abortion incidence estimates is challenging in restrictive contexts. While the confidante method has been increasingly used to collect this data in such settings, there are several biases commonly associated with this method. Further, there are significant variations in how researchers have implemented the method and assessed/adjusted for potential biases, limiting the comparability and interpretation of existing estimates. This study presents a standardized approach to analyzing confidante method data, generates comparable abortion incidence estimates from previously published studies and recommends standards for reporting bias assessments and adjustments for future confidante method studies.
Methods: We used data from previous applications of the confidante method in Côte d'Ivoire, Ethiopia, Ghana, Java (Indonesia), Nigeria, Uganda, and Rajasthan (India). We estimated one-year induced abortion incidence rates for confidantes in each context, attempting to adjust for selection, reporting and transmission bias in a standardized manner.
Findings: In each setting, majority of the foundational confidante method assumptions were violated. Adjusting for transmission bias using self-reported abortions consistently yielded the highest incidence estimates compared with other published approaches. Differences in analytic decisions and bias assessments resulted in the incidence estimates from our standardized analysis varying widely from originally published rates.
Interpretation: We recommend that future studies clearly state which biases were assessed, if associated assumptions were violated, and how violations were adjusted for. This will improve the utility of confidante method estimates for national-level decision making and as inputs for global or regional model-based estimates of abortion.
Keywords: Abortion measurement; Confidante method; Methodology; South East Asia; Sub-Saharan Africa; Third-party reporting.
© 2023. The Author(s).
Conflict of interest statement
The authors declare they have no competing interests.
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