ArticleContraception: X2020
The predictive utility of unmet need on time to contraceptive adoption: a panel study of non-contracepting Ugandan women.
Article in Contraception: X, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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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.
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Who cites it
9 citing papers in PubMed, 17 citations in OpenAlex.
- Intention to Use Contraception: Promises and Pitfalls of Family Planning's Emerging Demand Indicator.Studies in family planning · 2025Article
- The State of Person-Centered Measurement for Family Planning Need and Use: A Scoping Review.Studies in family planning · 2025Article
- Recognizing and Addressing the Contraceptive Hesitancy-Acceptability Continuum: Adopting Lessons Learned From the Immunization Field.Global health, science and practice · 2024Article
- Using the 5C Vaccine Hesitancy Framework to Elucidate and Measure Contraceptive Acceptability in sub-Saharan Africa.Global health, science and practice · 2024Article
- Unmet need and intention to use as predictors of adoption of contraception in 10 Performance Monitoring for Action geographies.SSM - population health · 2023Article
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- Getting Intentional about Intention to Use: A Scoping Review of Person-Centered Measures of Demand.Studies in family planning · 2022Article
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Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe predictive utility of the unmet contraceptive need indicator is not well known, despite being recognized as a key family planning indicator for showing the extant demand for birth control. This study assesses the dynamic influence of unmet need on time to contraceptive adoption, as compared with that of contraceptive intentions and their concordance. STUDY
designThis observational study analyzed survey data, including a contraceptive calendar, reported by a panel of 747 non-contracepting, fecund and sexually active Ugandan women, first interviewed in a 2014 national survey and re-interviewed in 2018. We conducted descriptive, survival and multivariate Cox regression analysis of the influence of women's baseline measures of unmet need, self-reported intention to contracept and their concordance with time to adoption of modern contraception over 36 months.
resultsThe study found women classified as having unmet need were slower to adopt contraception than those without unmet need, after adjustment for background covariates (aHR = 0.79, 95% CI = 0.57-1.10). Women intending future contraceptive use were significantly faster to adopt (aHR = 1.45, 95% CI = 1.22-1.73) than those not intending. Women with no unmet need but intending to use had the highest rate of adoption compared to those with no need and no intention to use (aHR = 2.78, 95% CI = 1.48-5.25).
conclusionsThe unmet need indicator underperforms in predicting future contraceptive adoption compared to contraceptive intentions, which merits further consideration as a complementary predictor of future use. Non-contracepting women with unmet need but no intention to use contraception in particular warrant programmatic attention. IMPLICATIONS: A non-contracepting woman wanting to limit or space her births is defined as having unmet need, but little is known if she subsequently adopts contraception. By contrasting a woman's unmet need with her expressed intention to use, we offer reasons to further consider self-reported contraceptive intentions as a better predictor of adoption and the underlying latent demand for volitional regulation of fertility.
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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.