ArticleGates open research2025
Estimated Modern Use: Employing A Service Statistics-Based Indicator to Monitor Family Planning Programs.
Article in Gates open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Effects of the Challenge Initiative's Community Health Volunteers (CHVs) on Public Sector Service Provision of Family Planning Services in Urban Sindh, Pakistan.International journal of environmental research and public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Estimated Modern Use (EMU) is a novel, service statistics-based indicator designed to complement Couple Years of Protection (CYP) in assessing the scale of family planning use and the first widely used metric since CYPs. Developed by the Track20 project, EMU offers a population-based proportional metric that facilitates cross-country comparisons and temporal trend analysis. By leveraging existing family planning service statistics, EMU provides a more accessible and interpretable measure of contraceptive use. The associated SS-to-EMU tool used to calculate EMU incorporates rigorous data quality review mechanisms, including data visualizations and validated review processes, to enhance the reliability and utility of family planning data for decision-making. The standardization of EMU across countries and projects promotes its integration into routine data review practices, fostering a more comprehensive approach to family planning monitoring and evaluation. Since 2014, all countries that prepare annual estimates for the FP2030 global initiative utilize the SS to EMU tool, to assess data quality and produce EMU estimates. Moreover, the EMU serves as a valuable input for the Family Planning Estimation Tool (FPET), contributing to the refinement of modeled estimates of modern contraceptive prevalence. Since its introduction, EMU has gained widespread adoption at various levels, demonstrating its effectiveness in informing global, regional, and country-level monitoring efforts. Ongoing refinements to the EMU calculation further enhance its accuracy and utility as a supplementary data source for understanding contraceptive use patterns.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.