Evidence map›Paper›PMID 41895106›Full record

ArticleSocial science & medicine (1982)2026

Social influence on women's contraceptive use: Population-based, sociocentric network study in rural Uganda.

Alison B Comfort, Sarah E Piombo, James Moody, Charles Baguma, Bernard Kakuhikire, Esther Atukunda, Emily N Satinsky, Mercy Juliet, E Betty Namara, Phionah Ahereza and 2 more

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Alison B ComfortBixby Center for Global Reproductive Health, Department of Obstetrics & Gynecology, University of California San Francisco, 550 16th Street, San Francisco, CA, 94143, USA. Electronic address: alison.comfort@ucsf.edu.
Sarah E PiomboDepartment of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, 1845 N Soto St, Los Angeles, CA, 90032, USA. Electronic address: sarah_piombo@dfci.harvard.edu.
James MoodyDepartment of Sociology, Duke University, 268 Soc/Psych Building, Durham, NC, 27708-0088, USA. Electronic address: jmoody77@duke.edu.
Charles BagumaMbarara University of Science and Technology, P. O. Box 1410, Mbarara, Uganda. Electronic address: chbaguma@must.ac.ug.
Bernard KakuhikireMbarara University of Science and Technology, P. O. Box 1410, Mbarara, Uganda. Electronic address: baitwakaku@gmail.com.
Esther AtukundaMbarara University of Science and Technology, P. O. Box 1410, Mbarara, Uganda. Electronic address: eatukunda@must.ac.ug.
Emily N SatinskyDepartment of Psychology, University of Southern California, 3620 McClintock Avenue, Los Angeles, CA, 90089, USA. Electronic address: satinsky@usc.edu.
Mercy JulietMbarara University of Science and Technology, P. O. Box 1410, Mbarara, Uganda. Electronic address: mjuliet@must.ac.ug.
E Betty NamaraMbarara University of Science and Technology, P. O. Box 1410, Mbarara, Uganda. Electronic address: bnamara@must.ac.ug.
Phionah AherezaMbarara University of Science and Technology, P. O. Box 1410, Mbarara, Uganda. Electronic address: pahereza@must.ac.ug.
Cynthia C HarperBixby Center for Global Reproductive Health, Department of Obstetrics & Gynecology, University of California San Francisco, 550 16th Street, San Francisco, CA, 94143, USA. Electronic address: cynthia.harper@ucsf.edu.
Alexander C TsaiCenter for Global Health and Mongan Institute, Massachusetts General Hospital, 125 Nashua Street, 7th floor, Boston, MA, 02114, USA; Harvard Medical School, Boston, MA, Boston, MA, 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Kresge Building 9th floor, 677 Huntington Ave, Boston, MA, 02115, USA. Electronic address: actsai@mgh.harvard.edu.

Funding

Social Networks, HIV Stigma, and the HIV Care Cascade in Rural UgandaR01MH113494 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI TSAI, ALEXANDER C · 2017 to 2021
$3.2M
Integration of a patient-centered mobile health intervention (Support-Moms) into routine antenatal care to improve maternal health in UgandaR01HD111692 · NICHD · MBARARA UNIVERSITY/SCIENCE/ TECHNOLOGY · PI Esther Cathyln Atukunda · 2023 to 2026
$1.9M
Optimizing mHealth for adherence monitoring and interventionK24MH114732 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI HABERER, JESSICA ELIZABETH · 2017 to 2021
$800k
Understanding individual- and social network-level factors affecting infant HIV testing to design social network interventions to increase testing of HIV-exposed infantsK01HD105521 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COMFORT, ALISON B · 2021 to 2025
$722k
Mentoring in patient-oriented research on the U.S. substance use and HIV syndemicK24DA061696 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI ALEXANDER C TSAI · 2024 to 2026
$640k
NICHD NIH HHS K01 HD105521NICHD NIH HHS R01 HD111692NIDA NIH HHS K24 DA061696NIMH NIH HHS K24 MH114732NIMH NIH HHS R01 MH113494
6 · The paper itself

Abstract

Myriad barriers impede women's access to contraception in Uganda and affect their reproductive autonomy. Almost half of married women of reproductive age in Uganda want to avoid pregnancy and one-third are undecided, yet only 38% use modern contraception. Interventions harnessing the influence of women's social networks may help to overcome these barriers and support desired contraceptive use. Using population-based longitudinal, socio-centric network data from household surveys across 8 villages in Uganda, we examined the role of social influence on contraceptive use among partnered, reproductive-age women. We fitted a stochastic actor-oriented model using three waves of data to estimate changes in social tie formation and contraceptive use over time as a function of contraceptive use among women's social ties while adjusting for ego-level characteristics. We found that partnered women were 1.25 times more likely to choose contraceptive methods that were already popular in the network compared to methods that were less popular (p < 0.001). We identified a direct social influence effect on contraceptive use: women were 1.23 times more likely to choose a particular contraceptive method for each additional social tie who was using that same method (p < 0.05). Our findings fill a key evidence gap by being able to separate social ties' tendencies to have similar contraceptive behaviors (i.e., homophily) in order to estimate the direct contribution of social influence on contraceptive use. These findings suggest that peer-based interventions focused on supporting contraceptive decision-making may be especially effective in overcoming barriers to contraception.

Indexed as

Contraception BehaviorAdolescentAdultContraceptionFemaleHumansLongitudinal StudiesRural PopulationSocial SupportUgandaYoung AdultContraceptionPeer interventionsSocial influenceSocial networksStochastic-actor oriented modelsUganda

Identifiers

PMID41895106
PMCPMC13225724

What Socratic 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 Socratic graph.