Evidence map›Paper›PMID 35877172›Full record

ArticleJournal of medical Internet research2022

Mobile Health Technology Use and the Acceptability of an mHealth Platform for HIV Prevention Among Men Who Have Sex With Men in Malaysia: Cross-sectional Respondent-Driven Sampling Survey.

Roman Shrestha, Francesca Maviglia, Frederick L Altice, Elizabeth DiDomizio, Antoine Khati, Colleen Mistler, Iskandar Azwa, Adeeba Kamarulzaman, Mohd Akbar Ab Halim, Jeffrey A Wickersham

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
7.8field-weighted citation impact, top 2% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Leveraging mHealth for the Treatment and Management of PLHIV.Risk management and healthcare policy · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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

10 authors at 3 institutions in 2 countries.

Roman ShresthaDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID 0000-0003-4340-3101
Francesca MavigliaSection of Infectious Diseases, Yale University, New Haven, CT, United States.ORCID 0000-0002-5021-6112
Frederick L AlticeSection of Infectious Diseases, Yale University, New Haven, CT, United States.ORCID 0000-0002-7860-693X
Elizabeth DiDomizioSection of Infectious Diseases, Yale University, New Haven, CT, United States.ORCID 0000-0002-2511-2071
Antoine KhatiDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID 0000-0001-9350-8230
Colleen MistlerDepartment of Allied Health Sciences, University of Connecticut, Storrs, CT, United States.ORCID 0000-0002-8681-0252
Iskandar AzwaFaculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0003-1977-6709
Adeeba KamarulzamanFaculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0002-8074-4450
Mohd Akbar Ab HalimFaculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.ORCID 0000-0002-7037-9808
Jeffrey A WickershamSection of Infectious Diseases, Yale University, New Haven, CT, United States.ORCID 0000-0001-7701-9162
Yale University · USUniversity of Connecticut · USUniversity of Malaya · MY

Funding

Development and Testing of a Mobile Application to Enhance HIV Prevention Cascade in Malaysian MSMR33TW011665 · FIC · UNIVERSITY OF CONNECTICUT STORRS · PI SHRESTHA, ROMAN · 2022 to 2024
$885k
Training in MHealth Prevention with MSMK01DA051346 · NIDA · YALE UNIVERSITY · PI SHRESTHA, ROMAN · 2020 to 2024
$862k
Improving HIV testing and PrEP for transgender women through mHealthR21AI157857 · NIAID · YALE UNIVERSITY · PI SHRESTHA, ROMAN, WICKERSHAM, JEFFREY ALLEN · 2021 to 2022
$446k
Development and Testing of a Mobile Application to Enhance HIV Prevention Cascade in Malaysian MSMR21TW011665 · FIC · YALE UNIVERSITY · PI SHRESTHA, ROMAN · 2020 to 2021
$408k
FIC NIH HHS R21 TW011665FIC NIH HHS R33 TW011665NIAID NIH HHS R21 AI157857NIDA NIH HHS K01 DA051346
6 · The paper itself

Abstract

backgroundThe growth in mobile technology access, utilization, and services holds great promise in facilitating HIV prevention efforts through mobile health (mHealth) interventions in Malaysia. Despite these promising trends, there is a dearth of evidence on the use of mHealth platforms that addresses HIV prevention among Malaysian men who have sex with men.

objectiveThe goal of this study was to gain insight into (1) access and utilization of communication technology (eg, landline phone, internet, mobile phone), (2) acceptability of mHealth-based interventions for HIV prevention services, and (3) preferences regarding the format and frequency of mHealth interventions among Malaysian men who have sex with men.

methodsWe conducted a cross-sectional survey with Malaysian men who have sex with men between July 2018 and March 2020. Participants were recruited using respondent-driven sampling in the Greater Kuala Lumpur region of Malaysia. We collected information on demographic characteristics, HIV risk-related behaviors, access to and the frequency of use of communication technology, and acceptability of using mHealth for HIV prevention using a self-administered questionnaire with a 5-point scale (1, never; 2, rarely; 3, sometimes; 4, often; 5, all the time).

resultsA total of 376 men participated in the survey. Almost all respondents owned or had access to a smartphone with internet access (368/376, 97.9%) and accessed the internet daily (373/376, 99.2%), mainly on a smartphone (334/376, 88.8%). Participants on average used smartphones primarily for social networking (mean 4.5, SD 0.8), followed by sending or receiving emails (mean 4.0, SD 1.0), and searching for health-related information (mean 3.5, SD 0.9). There was high acceptance of the use of mHealth for HIV prevention (mean 4.1, SD 1.5), including for receiving HIV prevention information (345/376, 91.8%), receiving medication reminders (336/376, 89.4%), screening and monitoring sexual activity (306/376, 81.4%) or illicit drug use (281/376, 74.7%), and monitoring drug cravings (280/376, 74.5%). Participants overwhelmingly preferred a smartphone app over other modalities (eg, text, phone call, email) for engaging in mHealth HIV prevention tools. Preference for app notifications ranged from 186/336 (53.9%), for receiving HIV prevention information, to 212/336 (69.3%), for screening and monitoring sexual activity. Acceptance of mHealth was higher for those who were university graduates (P=.003), living in a relationship with a partner (P=.04), engaged in sexualized drug use (P=.01), and engaged in receptive anal sex (P=.006).

conclusionsFindings from this study provide support for developing and deploying mHealth strategies for HIV prevention using a smartphone app in men who have sex with men-a key population with suboptimal engagement in HIV prevention and treatment.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsSexual and Gender MinoritiesSubstance-Related DisordersTelemedicineBiomedical TechnologyCross-Sectional StudiesHomosexuality, MaleHumansMalaysiaMaleSexual BehaviorSurveys and QuestionnairesTechnologycommunication technologydigital healthhealth technologyHIVHIV preventionHIV treatmentMalaysiamen who have sex with menmHealthmobile healthmobile phonepublic healthsexual healthsmartphone apptechnology accessibility

Identifiers

PMID35877172
PMCPMC9361153
OpenAlexW4229376165

What OpenQuestion 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 OpenQuestion graph.