Evidence map›Paper›PMID 42877744›Full record

ArticleHealth science reports2026

Willingness and Preferences for Mobile Health Versus In-Person Healthcare Services Among People Living With HIV: A Cross-Sectional Study.

Hadi Kazemi-Arpanahi, Soheila Saeedi, Alireza Banaye Yazdipour, Marjan Ghazisaeedi, Hassan Bostan

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Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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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

5 authors.

Hadi Kazemi-ArpanahiDepartment of Health Information Technology Abadan University of Medical Sciences Abadan Iran.ORCID https://orcid.org/0000-0002-8882-5765
Soheila SaeediDepartment of Health Information Technology, School of Allied Medical Sciences Hamadan University of Medical Sciences Hamadan Iran.ORCID https://orcid.org/0000-0003-1315-794X
Alireza Banaye YazdipourDepartment of Health Information Technology, School of Paramedical and Rehabilitation Sciences Mashhad University of Medical Sciences Mashhad Iran.ORCID https://orcid.org/0000-0001-9284-2640
Marjan GhazisaeediDepartment of Health Information Management and Medical Informatics, School of Allied Medical Sciences Tehran University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-2400-209X
Hassan BostanDepartment of Health Information Technology Abadan University of Medical Sciences Abadan Iran.ORCID https://orcid.org/0000-0002-3370-8457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Mobile health technology (mHealth) has made significant progress in the fields of disease prevention, diagnosis, and treatment. This technology is particularly effective for people living with human immunodeficiency virus (HIV) who often face social stigma and make in-person visits to health centers difficult. Therefore, this study aimed to investigate the willingness and preferences of people living with HIV (PLWH) regarding the use of mHealth services. Methods: This cross-sectional descriptive-analytical survey was conducted in Iran in 2024. Data were collected using a researcher-made checklist with three sections: demographic variables, willingness to use mHealth services, and preferred treatment methods. The checklist, designed based on previous studies, was administered to PLWH attending health centers in Abadan, Iran. Data were analyzed using descriptive and inferential statistics with Statistical Package for the Social Sciences (SPSS) 22 software. Results: A total of 144 patients participated in the study; 26.4% were female, and 73.6% were male. The findings showed that 30 (20.8%) patients preferred in-person clinic visits, 47 (32.6%) desired to use a mobile application, and 67 (46.5%) favored a combination of both methods for disease management. Furthermore, a significant relationship was found between preferred treatment method (face-to-face, mobile, or both) and residency (rural or urban), familiarity with mHealth applications, receipt of services through mHealth, and type of mobile phone. Conclusions: Most PLWH expressed willingness to use mHealth services, with a blended model combining mHealth and face-to-face care being the most preferred approach. mHealth may complement conventional HIV care by improving accessibility and continuity of services. These findings can inform the development of patient-centered mHealth interventions, although further research is needed to evaluate their effectiveness and long-term outcomes.

Indexed as

Acquired immunodeficiency syndromeAttitude to healthHIV infectionsMobile applicationsPatient preferenceTelemedicine

Identifiers

PMID42877744
PMCPMC13664670

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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.