Evidence map›Paper›PMID 41543668›Full record

SynthesisAIDS and behavior2026

Effectiveness of Telehealth in HIV Management for People Living with HIV and Key Populations: A Systematic Review of Models, Adherence, Viral Suppression, and Behavioral Outcomes.

Ilany Nandia Chandra, Sihqina Ramadhani Selwis Raistanti, Muh Ariandi Maulana, Ayu Anita

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in AIDS and behavior, 2026. 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

4 authors.

Ilany Nandia ChandraFaculty of Medicine, Public Health, and Nursing, Gadjah Mada University, Yogyakarta, Indonesia.ORCID http://orcid.org/0009-0000-9997-5219
Sihqina Ramadhani Selwis RaistantiFaculty of Medicine, Public Health, and Nursing, Gadjah Mada University, Yogyakarta, Indonesia. sihqinarsr@gmail.com.ORCID http://orcid.org/0009-0001-6826-9642
Muh Ariandi MaulanaFaculty of Medicine, Public Health, and Nursing, Gadjah Mada University, Yogyakarta, Indonesia.ORCID http://orcid.org/0009-0001-1215-4643
Ayu AnitaUniversity of Muhammadiyah Riau, Pekanbaru, Indonesia.ORCID http://orcid.org/0000-0001-5876-9689

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human Immunodeficiency Virus (HIV) is a global health problem that causes many deaths, especially in low- and middle-income countries (LMICs). Most HIV cases occur in sub-Saharan Africa and Asia. In efforts to manage HIV, technologies such as telehealth have begun to be considered as an effective solution, both in high- and low-income countries. This study aims to identify telehealth models used in low-, middle-, and high-income countries and to evaluate their impact on treatment adherence, viral load, and HIV disease management. This study answers the question: "What telehealth models are used in countries with different income levels, and how do they impact HIV/AIDS patients?" This literature review was conducted between February and April 2025 by searching five databases: PubMed, Sage, ProQuest, Scopus, and ScienceDirect, covering the last 10 years, from January 2015 to January 2025. Articles that met the inclusion criteria were original articles on the use of telehealth in HIV patients. Article selection was conducted using the PRISMA flowchart, and quality assessment was conducted using the Quality Assessment of Risk of Bias (RoB 2.0). Of the 4739 articles found, 11 articles met the criteria with four main themes: telehealth models, improving treatment adherence, reducing viral load, and the impact of telehealth on HIV management. The results of this study indicate that telehealth models vary, but their benefits have been proven significant in HIV management, especially in resource-limited countries, and they can improve treatment adherence and reduce viral load.

Indexed as

HIV InfectionsMedication AdherenceTelemedicineAdherence InterventionsAnti-HIV AgentsDeveloping CountriesDigital HealthDisease ManagementHumansViral LoadAnti-HIV AgentsAdherenceBehavioral outcomeHIV/AIDsModelsTelehealthViral suppression

Identifiers

What OpenQuestion holds

Textmetadata
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.