Evidence map›Paper›PMID 40983923›Full record

ArticleBMC women's health2025

Validation of a measure of contraceptive self-injection self-efficacy in Uganda.

Brooke W Bullington, Sneha Challa, Ronald Wasswa, Dinah Amongin, Catherine Birabwa, Sylvia Nanono, Peter Waiswa, Jane Cover, Kelsey Holt

Abstract readValidation Study
In one paragraph

Article in BMC women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Brooke W BullingtonDivision of Family Planning, Department of Obstetrics & Gynecology, University of Utah, Salt Lake City, Utah, USA. brooke.bullington@hsc.utah.edu.ORCID 0000-0002-3341-087X
Sneha ChallaInstitute for Health & Aging, School of Nursing, University of California San Francisco, San Francisco, CA, USA.
Ronald WasswaSchool of Public Health, Makerere University, Kampala, Uganda.
Dinah AmonginSchool of Public Health, Makerere University, Kampala, Uganda.
Catherine BirabwaSchool of Public Health, Makerere University, Kampala, Uganda.
Sylvia NanonoSchool of Public Health, Makerere University, Kampala, Uganda.
Peter WaiswaSchool of Public Health, Makerere University, Kampala, Uganda.
Jane CoverDepartment of Reproductive Health, PATH, Seattle, WA, USA.
Kelsey HoltDepartment of Family Community Medicine, School of Medicine, University of California San Francisco, San Francisco, CA, USA.

Funding

POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Research Training Program in Reproductive and Sexual HealthR25HD115514 · NICHD · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI JESSICA N SANDERS, David Turok · 2024 to 2026
$474k
Bill and Melinda Gates Foundation OPP1216593National Institute of Child Health and Human Development P2CHD050924National Institute of Child Health and Human Development T32HD007168NICHD NIH HHS P2C HD050924NICHD NIH HHS R25 HD115514NICHD NIH HHS T32 HD007168
6 · The paper itself

Abstract

backgroundSexual and reproductive health self-care interventions, including self-administered injectable contraception, can promote individual agency and health. As an increasing number of programs seek to introduce and expand access to self-injectable contraception, it’s imperative to develop measures that define programmatic success based on whether people have the opportunity to make a decision about self-injectable use with agency, rather than relying on measures of self-injectable uptake.

methodsWe performed psychometric evaluation to validate a self-injectable self-efficacy scale using cross-sectional survey data collected among 2,369 sexually active, reproductive aged women in Uganda. We examined descriptive statistics of a pool of five potential items before conducting an Exploratory Factor Analysis to determine factor structure and reduce the item pool. We ran a Confirmatory Factor Analysis to confirm the factor structure and performed a correlation analysis to determine whether the final self-injectable self-efficacy scale was correlated with items related to contraceptive decision-making self-efficacy and previous self-injectable use.

resultsOur final measure of self-injectable self-efficacy is a unidimensional scale that contains three items: 1) “I feel confident that I could self-inject on my own at the end of training,” 2) “I feel confident that I can do all the steps correctly and will be protected from pregnancy,” and 3) “I can manage to self-inject even if I feel very scared at first.” Self-injectable self-efficacy was positively and significantly correlated with prior self-injectable use and items related to contraceptive decision-making self-efficacy.

conclusionWe validated a novel self-care focused measure of self-injectable self-efficacy in Uganda. Self-injectable self-efficacy, which can be measured among all reproductive-aged women regardless of prior self-injectable training or use, can be used to evaluate self-injectable programs to determine whether programs equip people with the tools needed to successfully use self-injectable contraception if they desire.

Indexed as

ContraceptionContraception BehaviorContraceptive Agents, FemaleSelf AdministrationSelf CareSelf EfficacyAdolescentAdultCross-Sectional StudiesFactor Analysis, StatisticalFemaleHumansPsychometricsSurveys and QuestionnairesUgandaYoung AdultContraceptive Agents, FemaleAgencyContraceptionSelf careSelf-efficacySelf-injectable

Identifiers

PMID40983923
PMCPMC12452008

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.