Evidence map›Paper›PMID 40815485›Full record

ArticleCurrent HIV/AIDS reports2025

Leveraging Electronic Health Records and Claims Data to Improve HIV and Comorbidity Care Trajectories: A Scoping Review.

Olivia K Sugarman

Abstract readScoping Review
PubMed Publisher
In one paragraph

Article in Current HIV/AIDS reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Olivia K SugarmanDepartment of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, 1812 Ashland Ave, Rm 390, Baltimore, MD, 21211, USA. osugarm1@jh.edu.ORCID http://orcid.org/0000-0001-5682-9625

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewBig Data sources, specifically electronic health records (EHR) and insurance claims data, are key in advancing HIV research. This scoping review summarizes recent research using EHR/claims to understand the evolving relationship between HIV and comorbidities. RECENT

findingsData sources ranged from individual health system EHR to multi-system integrated datasets. Datasets that linked insurance claims or EHR with external sources (e.g. public health HIV surveillance, social systems) had the richest findings. PLWH who maintained care for HIV and comorbidities, including COVID-19, had similar health outcomes to peers living without HIV. Mental health, substance use disorders, and HPV-related cancers remain prevalent in PLWH. HIV stigma and racial disparities in non-HIV comorbidity care were detected. These findings reinforce evidence of improving general health for PLWH as research and evidence-based treatment progress, and the utility of Big Data for PLWH in public health emergencies like COVID-19. There is continued need for tailored interventions for co-morbid mental health and some cancers. Linking EHR/claims data to external sources are critical to research and practice innovations in approaching whole-person care on the path to HIV elimination.

Indexed as

Electronic Health RecordsHIV InfectionsInsurance Claim ReviewComorbidityCOVID-19HumansSARS-CoV-2Big dataClaims dataComorbiditiesHIVLinked data

Identifiers

What OpenQuestion holds

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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.