Evidence map›Paper›PMID 35396915›Full record

SynthesisJournal of the International AIDS Society2022

Use of quality-of-life instruments for people living with HIV: a global systematic review and meta-analysis.

Ying Zhang, Christine He, Tessa Peasgood, Emily S G Hulse, Christopher K Fairley, Graham Brown, Richard Ofori-Asenso, Jason J Ong

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of the International AIDS Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  4. A head-to-head comparison of health utilities and measurement properties of the EQ-5D-5L and SF-6Dv2 among people living with HIV in China.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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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

8 authors.

Ying ZhangFaculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia.ORCID 0000-0001-7717-5691
Christine HeFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia.
Tessa PeasgoodFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia.
Emily S G HulseFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia.
Christopher K FairleyCentral Clinical School, Monash University, Melbourne, Victoria, Australia.
Graham BrownCentre for Social Impact, University of New South Wales, Sydney, New South Wales, Australia.ORCID 0000-0003-4901-0974
Richard Ofori-AsensoMonash Outcomes Research and Health Economics, Monash University, Melbourne, Victoria, Australia.
Jason J OngFaculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDue to the effectiveness of combined antiretroviral therapy and its growing availability worldwide, most people living with HIV (PLHIV) have a near-normal life expectancy. However, PLHIV continue to face various health and social challenges that severely impact their health-related quality-of-life (HRQoL). The UNAIDS Global AIDS Strategy discusses the need to optimize quality-of-life, but no guidance was given regarding which instruments were appropriate measures of HRQoL. This study aimed to review and assess the use of HRQoL instruments for PLHIV.

methodsWe conducted a global systematic review and meta-analysis, searching five databases for studies published between January 2010 and February 2021 that assessed HRQoL among PLHIV aged 16 years and over. Multivariable regression analyses were performed to identify factors associated with the choice of HRQoL instruments. We examined the domains covered by each instrument. Random-effects meta-analysis was conducted to explore the average completion rates of HRQoL instruments. RESULTS AND DISCUSSION: From 714 publications, we identified 65 different HRQoL instruments. The most commonly used instruments were the World Health Organization Quality-of-Life- HIV Bref (WHOQOL-HIV BREF)-19%, Medical Outcome Survey-HIV (MOS-HIV)-17%, Short Form-36 (SF-36)-12%, European Quality-of-Life Instrument-5 Dimension (EQ-5D)-10%, World Health Organization Quality-of-Life Bref (WHOQOL BREF)-8%, Short Form-12 (SF-12)-7% and HIV/AIDS Targeted Quality-of-Life (HAT-QOL)-6%. There were greater odds of using HIV-specific instruments for middle- and low-income countries (than high-income countries), studies in the Americas and Europe (than Africa) and target population of PLHIV only (than both PLHIV and people without HIV). Domains unique to the HIV-specific instruments were worries about death, stigma and HIV disclosure. There were no significant differences in completion rates between different HRQoL instruments. The overall pooled completion rate was 95.9% (95% CI: 94.7-97.0, I

conclusionsA wide range of instruments have been used to assess HRQoL in PLHIV, and the choice of instrument might be based on their different characteristics and reason for application. Although completion rates were high, future studies should explore the feasibility of implementing these instruments and the appropriateness of domains covered by each instrument.

Indexed as

Acquired Immunodeficiency SyndromeHIV InfectionsAnti-Retroviral AgentsHumansQuality of LifeSurveys and QuestionnairesAnti-Retroviral Agentsgeneric instrumentHIVHIV-specific instrumentpeople living with HIVPROSPERO Number: CRD42021240815quality of lifesystematic review

Identifiers

PMID35396915
PMCPMC8994483

What OpenQuestion holds

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LicenceCC BY
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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.