Evidence map›Paper›PMID 40974076›Full record

ArticleHealth policy and planning2025

Nursing student training as a novel approach to increasing community-based access to contraception in the Democratic Republic of the Congo: evaluation of outcomes.

Pierre Akilimali, Gael Compta, Denise Ngondo, Tesky Koba, Dynah Kayembe, Francis Kabasubabo, Franck Akamba, Zenon Mujani, Paul Lusamba, Arsene Binanga and 3 more

Abstract read
In one paragraph

Article in Health policy and planning, 2025. 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

13 authors.

Pierre AkilimaliDepartment of Nutrition and Centre de Recherche Patrick Kayembe (CRPK), Kinshasa School of Public Health, University of Kinshasa, PO Box 11850, Kinshasa, Democratic Republic of the Congo.
Gael ComptaCecilia Scott Weatherhead School of Public Health, Tulane University, New Orleans, LA 70112, United States.
Denise NgondoDepartment of Biostatistical Epidemiology and Patrick Kayembe Research Center, Kinshasa School of Public Health, Kinshasa, Democratic Republic of the Congo.
Tesky KobaCentre de Recherche Patrick Kayembe (CRPK), Kinshasa School of Public Health, Kinshasa, Democratic Republic of the Congo.
Dynah KayembeCentre de Recherche Patrick Kayembe (CRPK), Kinshasa School of Public Health, Kinshasa, Democratic Republic of the Congo.
Francis KabasubaboCentre de Recherche Patrick Kayembe (CRPK), Kinshasa School of Public Health, Kinshasa, Democratic Republic of the Congo.
Franck AkambaTulane International, Kinshasa, Democratic Republic of the Congo.
Zenon MujaniProgramme National de la Santé de Reproduction (PNSR), Kinshasa, Democratic Republic of the Congo.
Paul LusambaDepartment of Biostatistical Epidemiology and Patrick Kayembe Research Center, Kinshasa School of Public Health, Kinshasa, Democratic Republic of the Congo.
Arsene BinangaTulane International, Kinshasa, Democratic Republic of the Congo.
Julie HernandezCecilia Scott Weatherhead School of Public Health, Tulane University, New Orleans, LA 70112, United States.
Sydney SauterCecilia Scott Weatherhead School of Public Health, Tulane University, New Orleans, LA 70112, United States.
Jane T BertrandCecilia Scott Weatherhead School of Public Health, Tulane University, New Orleans, LA 70112, United States.ORCID 0000-0001-5482-787X

Funding

Gates Foundation INV-033621
6 · The paper itself

Abstract

This study evaluated the scale-up of an innovative approach to increasing modern contraceptive use in the Democratic Republic of the Congo (DRC) on multiple outcomes: fidelity to design, acceptability, sustainability, satisfaction, adoption by other organizations, and penetration. The intervention consisted of incorporating a family planning (FP) module into the training of third-year nursing students, who then counseled and delivered services during community outreach events as their practicum several times annually in selected provinces. In late 2023, eight different stakeholder groups were interviewed (national-level health authorities, provincial-level health authorities, program managers replicating the model, chief district medical officers, nursing school focal points, nursing students, FP clients, and a parent association), for a total of 1238 persons. It consisted of telephone interviews (for three stakeholder groups), in-depth interviews (for three other groups), in-person interviews (one group), and focus group (one group). Data were triangulated across stakeholder groups for each outcome. The scale-up of the nursing school model achieved many of its desired outcomes regarding fidelity to design, acceptability, satisfaction, penetration, and adoption. Unresolved issues included pervasive contraceptive stockouts, difficulties in accurately capturing data on contraceptive distribution in the national health information system, and sustainability. The DRC model originated from a scarcity of government or donor resources to pay community health workers but has proven to be a promising means of increasing access to contraception. The results of this research will inform the further expansion of the model within the DRC and possibly to other countries facing similar challenges.

Indexed as

ContraceptionFamily Planning ServicesHealth Services AccessibilityStudents, NursingAdultDemocratic Republic of the CongoFemaleHumansInterviews as TopicMalecommunity-based distribution (CBD)Democratic Republic of the Congofamily planningnursing studentsoutcomes evaluationscale-up

Identifiers

PMID40974076
PMCPMC12605767

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.