Evidence map›Paper›PMID 40274275›Full record

ArticleHIV medicine2025

Using an automated decision support tool to improve HIV prescribing: A feasibility study.

Aidan T Ireland, Jennifer Ward, Heather Dolby, Christopher Lawrence

Abstract read
In one paragraph

Article in HIV medicine, 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

4 authors.

Aidan T IrelandMRCP, South Tees NHS Foundation Trust, Middlesbrough, UK.ORCID https://orcid.org/0000-0001-9513-2302
Jennifer WardUniversity of Sunderland, Sunderland, UK.
Heather DolbySouth Tees NHS Foundation Trust, Middlesbrough, UK.
Christopher LawrenceMRCP, South Tees NHS Foundation Trust, Middlesbrough, UK.

Funding

NHS England
6 · The paper itself

Abstract

objectivesThe selection of antiretroviral therapy (ART) regimens for people living with HIV is complex and dependent on individual and clinician-perceived risk factors and preferences. The British HIV Association (BHIVA) advocates cost-effective prescribing and shared decision-making between patients and clinicians. We evaluated the acceptability and potential impact of a prototype multi-patient automated decision support tool (DST) for improving individualized, safe, and cost-effective prescribing.

methodsWe surveyed people living with HIV and clinicians regarding treatment preferences and the acceptability of a DST. We developed a DST to interpret electronic patient record data, using 2022 BHIVA guidelines to identify optimal ART switch options. This was applied to patients prescribed ART between June 2022 and May 2023 in the local HIV service, and potential cost savings were calculated.

resultsAmong people living with HIV, 86.7% (144/166) respondents were open to switching to more cost-effective ART. While 94% (15/16) of clinician respondents prioritized lower-cost treatments where possible, only 38% (6/16) reported knowing about ART costs. Regimen switch options were identified for 274 of 503 people living with HIV meeting the inclusion criteria. Overall, potential cost savings of 28.4% of total ART spend (£26630.25 per month) were calculated if all possible switches to the most cost-effective option identified by the DST were made.

conclusionsA DST based on BHIVA recommendations and using routinely collected data may be acceptable to patients, useful to clinicians, and could provide significant cost savings. A substantial proportion of people living with HIV in our cohort were open to considering changing their ART based on cost effectiveness.

Indexed as

Anti-HIV AgentsDecision Support TechniquesHIV InfectionsAdultCost-Benefit AnalysisFeasibility StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesAnti-HIV Agentsantiretroviraldecision support toolHIV

Identifiers

PMID40274275
PMCPMC12127238

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.