Evidence map›Paper›PMID 41121282›Full record

ArticleContraception and reproductive medicine2025

Intention to switch from short-acting to long-acting reversible contraceptives among refugee women in Ethiopia: application of the theory of planned behavior.

Andamlak Gizaw Alamdo, Agnes M Kotoh, Emefa Judith Modey, Juliana Yartey Enos

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Article in Contraception and reproductive medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

4 authors.

Andamlak Gizaw AlamdoDepartment of Health Service Management, Health Promotion, Reproductive Health, and Nutrition, School of Public Health, St. Paul's Hospital Millennium Medical College, 1271 Swaziland Street, Addis Ababa, Ethiopia. gizandal@gmail.com.
Agnes M KotohDepartment of Population, Family and Reproductive Health, School of Public Health, College of Health Sciences, University of Ghana, Legon, Ghana.
Emefa Judith ModeyDepartment of Population, Family and Reproductive Health, School of Public Health, College of Health Sciences, University of Ghana, Legon, Ghana.
Juliana Yartey EnosDepartment of Population, Family and Reproductive Health, School of Public Health, College of Health Sciences, University of Ghana, Legon, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe validity of the theory of planned behavior (TPB) in predicting health behavior intention has proven its applicability to various health behaviors, such as condom uptake, HIV prevention, and contraception use in resource-limited settings. However, the effectiveness of the TPB framework in understanding refugee women’s intention to switch from short-acting contraceptives (SAC) to long-acting and reversible contraceptives (LARC) remains unclear. This study examined how the TPB predicts refugee women’s intention to switch from SAC to LARC.

methodsThis study is a nested component of a larger retrospective cohort examining contraceptive use dynamics among women in Ethiopian refugee camps. Initially, 1,290 family planning records from selected health facilities in Ethiopian refugee camps were reviewed. These records included 551 women who began using contraceptives between September 2022 and February 2023 (387 started SAC and 164 started LARC). Among SAC users, 238 women who were current users and familiar with LARC methods (implants and/or IUDs) participated in this study. Data collection involved computer-assisted face-to-face interviews conducted using the Open Data Kit (ODK) toolkit. Four constructs, based on the TPB variables, measured using a 7-point Likert scale, were analyzed to explore the relationship between attitude, subjective norms, and perceived behavioral control as predictors of the intention to switch from SAC to LARC. The Structural Equation Model (SEM) with the Stata SEM Builder and maximum likelihood estimation was used to evaluate how well the data fit the TPB model and identify the key predictors of the intention to switch from SAC to LARC.

resultsAll specified relations between the three constructs and the intention to switch from SAC to LARC in TPB were exhibited as statistically significant. The TPB model accounted for 66.3% of the variation in the intention to switch from SAC to LARC. A positive attitude toward LARC use (β = 0.16; P = .014), strong subjective norms (β = 0.46; P = .001), and higher perceived behavioral controls (β = 0.17; P = .001) had a positive influence on refugee women’s intention to switch from SAC to LARC.

conclusionThe TPB model demonstrated a good fit for examining refugee women’s intention to switch from SAC to LARC, with the subjective norm being the strongest predictor.

Indexed as

Contraceptive methodsRefugee populationRefugee women’s intentionSEMTPBValidity

Identifiers

PMID41121282
PMCPMC12539058

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LicenceCC BY-NC-ND
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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.