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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Aug 4, 2024
Date Accepted: Apr 28, 2025

The final, peer-reviewed published version of this preprint can be found here:

Identifying Health Care Services Offered in the HIV Care Continuum via a Machine Learning–Based Topic Modeling Approach: Exploratory Literature Review

Lee S, Kim L, Shim MS, Kim GS

Identifying Health Care Services Offered in the HIV Care Continuum via a Machine Learning–Based Topic Modeling Approach: Exploratory Literature Review

JMIR Public Health Surveill 2025;11:e65081

DOI: 10.2196/65081

PMID: 40632764

PMCID: 12266304

Identifying healthcare services offered in the HIV care continuum: A machine learning-based topic modeling approach to literature review

  • SangA Lee; 
  • Layoung Kim; 
  • Mi-So Shim; 
  • Gwang Suk Kim

ABSTRACT

Background:

It remains unclear whether existing healthcare services reflect the HIV care continuum, which underscores the importance of integrated care beyond viral suppression.

Objective:

This study aimed to analyse the literature on healthcare services for people living with HIV (PLWH) to enhance the understanding of trends and knowledge structures.

Methods:

A literature review was conducted utilising BERTopic, an advanced machine learning-based topic modelling. We searched the PubMed, CINAHL, EMBASE, and Cochrane databases for English-language studies published between 2013 and 2023. The analyses were performed twice: one to broaden the understanding of the literature and the other to explore the specific details of the healthcare services described.

Results:

Of 10,678 articles screened, 200 studies met the inclusion criteria. In the context of the HIV care continuum, most studies targeted the treatment retention stage, while studies focusing on the long-term stage were the most limited. Broad literature analysis revealed seven topics, with ‘ART adherence’ being the predominant topic. A more comprehensive analysis of healthcare services within the literature identified 13 topics grouped into three meta-topics. The predominant topic, ‘Behavioral session,’ had the most studies, reflecting diverse delivery methods and content in providing healthcare services for PLWH. The distribution of topics on healthcare services presented a clear contrast: support-focused services constituted the largest proportion in the initial stage, while services emphasising symptom self-management gained prominence in the final stage.

Conclusions:

This study offers valuable insights into current HIV care services and identifies areas for future research and intervention. While HIV care has shifted towards lifelong management, the existing literature remains focused on medication treatment, neglecting the multifaceted needs of PLWH. Disparities in research focus, especially concerning vulnerable populations, underscore the need for more inclusive research initiatives and tailored healthcare services. Efforts should be intensified to bridge research gaps, ensuring inclusive and equitable healthcare services across diverse populations and fostering interdisciplinary collaboration to meet the evolving needs of PLWH, thereby enhancing the HIV care continuum for all.


 Citation

Please cite as:

Lee S, Kim L, Shim MS, Kim GS

Identifying Health Care Services Offered in the HIV Care Continuum via a Machine Learning–Based Topic Modeling Approach: Exploratory Literature Review

JMIR Public Health Surveill 2025;11:e65081

DOI: 10.2196/65081

PMID: 40632764

PMCID: 12266304

Per the author's request the PDF is not available.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.