Evidence map›Paper›PMID 32675229›Full record

Trial reportBMJ global health2020

Safety decision-making and planning mobile app for intimate partner violence prevention and response: randomised controlled trial in Kenya.

Michele R Decker, Shannon N Wood, Zaynab Hameeduddin, S Rachel Kennedy, Nancy Perrin, Catherine Tallam, Irene Akumu, Irene Wanjiru, Ben Asira, Ariel Frankel and 6 more

Open access · goldAbstract readRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in BMJ global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 5% of its field
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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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  7. Intimate partner violence: why does it matter for nurses?Women's health nursing (Seoul, Korea) · 2025
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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

16 authors at 2 institutions in 1 country.

Michele R DeckerPopulation, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA mdecker@jhu.edu.
Shannon N WoodPopulation, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Zaynab HameeduddinPopulation, Family and Reproductive Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
S Rachel KennedyJohns Hopkins University School of Nursing, Baltimore, Maryland, USA.
Nancy PerrinJohns Hopkins University School of Nursing, Baltimore, Maryland, USA.
Catherine TallamUjamaa Africa, Nairobi, Kenya.
Irene AkumuUjamaa Africa, Nairobi, Kenya.
Irene WanjiruUjamaa Africa, Nairobi, Kenya.
Ben AsiraUjamaa Africa, Nairobi, Kenya.
Ariel FrankelInternational Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Benjamin OmondiUjamaa Africa, Nairobi, Kenya.
James CaseJohns Hopkins University School of Nursing, Baltimore, Maryland, USA.
Amber CloughJohns Hopkins University School of Nursing, Baltimore, Maryland, USA.
Richard OtienoUjamaa Africa, Nairobi, Kenya.
Morris MwitiUjamaa Africa, Nairobi, Kenya.
Nancy GlassJohns Hopkins University School of Nursing, Baltimore, Maryland, USA.
Johns Hopkins University · USJohns Hopkins Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIntimate partner violence (IPV) threatens women's health and safety globally, yet services remain underdeveloped and inaccessible. Technology-based resources exist, however, few have been adapted and tested in low-resource settings. We evaluate the efficacy of a community-partnered technology solution: culturally and linguistically adapted version of the myPlan app, a tailored safety decision-making and planning intervention, administrated by trained lay professionals.

methodsThis randomised, controlled, participant-blinded superiority trial compares safety-related outcomes at baseline, immediate post intervention and 3-month follow-up among women at risk of and experiencing IPV in Nairobi, Kenya. Women were randomised (1:1 ratio) to: (1) myPlan Kenya (intervention); or (2) standard IPV referrals (control). Primary outcomes were safety preparedness, safety behaviour and IPV; secondary outcomes include resilience, mental health, service utilisation and self-blame.

resultsBetween April 2018 and October 2018, 352 participants (n=177 intervention, n=175 control) were enrolled and randomly assigned; 312 (88.6%, n=157 intervention, n=155 control) were retained at 3 months. Intervention participants demonstrated immediate postintervention improvement in safety preparedness relative to control participants (p=0.001). At 3 months, intervention participants reported increased helpfulness of safety strategies used relative to control participants (p=0.004); IPV reduced in both groups. Among women reporting the highest level of IPV severity, intervention participants had significant increase in resilience (p<0.01) compared with controls, and significantly decreased risk for lethal violence (p<0.01).

conclusionsFacilitated delivery of a technology-based safety intervention appropriately adapted to the context demonstrates promise in improving women's IPV-related health and safety in a low-resource, urban setting. TRIAL REGISTRATION NUMBER: Pan African Clinical Trial Registry (PACTR201804003321122).

Indexed as

Intimate Partner ViolenceMobile ApplicationsFemaleHumansKenyaMental HealthSexual Partnerspublic healthrandomised control trial

Identifiers

PMID32675229
PMCPMC7368487
OpenAlexW3042938297

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.