Evidence map›Paper›PMID 37113256›Full record

ArticleDigital health

Effect of an mHealth intervention on retention in HIV pre-exposure prophylaxis services among female sex workers: Preliminary evidence of the use of the

Christopher H Mbotwa, Method R Kazaura, Kåre Moen, Hanne O Lichtwarck, Melkizedeck T Leshabari, Emmy Metta, Elia J Mmbaga

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

7 authors.

Christopher H MbotwaDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.ORCID https://orcid.org/0000-0003-2153-8646
Method R KazauraDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Kåre MoenDepartment of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.ORCID https://orcid.org/0000-0002-4537-9654
Hanne O LichtwarckDepartment of Community Medicine and Global Health, Institute of Health and Society, Faculty of Medicine, University of Oslo, Oslo, Norway.
Melkizedeck T LeshabariDepartment of Behavioural Sciences, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Emmy MettaDepartment of Behavioural Sciences, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.
Elia J MmbagaDepartment of Epidemiology and Biostatistics, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mobile health (mHealth) applications have been reported to be effective in promoting access and adherence to health services. However, knowledge about their effect on retention in HIV preventive services among at-risk populations in sub-Saharan Africa is limited. Objective: We aimed to evaluate the effect of the Methods: We used respondent-driven sampling to recruit female sex workers eligible for PrEP and who owned a smartphone. All study participants were provided with a smartphone application ( Results: A total of 470 female sex workers with a median age of 26 (interquartile range: 22-30) years were recruited. Overall, 27.7% of female sex workers were retained in PrEP services at 1 month. Retention was twice as high among optimal users of the app than among sub-optimal users (adjusted risk ratios = 2.00, 95% confidence interval (CI): 1.41-2.83, p < 0.001). Conclusion: The optimal use of the

Indexed as

Africafemale sex workersmHealthMobile healthpre-exposure prophylaxisPrEPretentionsmartphone

Identifiers

PMID37113256
PMCPMC10126669

What OpenQuestion holds

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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.