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Record W4409667277 · doi:10.1186/s12955-025-02369-9

A life that’s worth living – measuring health-related quality of life among people treated for tuberculosis in Viet Nam: a longitudinal EQ-5D-5L survey

2025· article· en· W4409667277 on OpenAlexfundno aff
Luan Nguyen Quang Vo, Rachel Forse, Andrew James Codlin, Huy Ba Huynh, Anja Maria Christine Wiemers, Tushar Garg, Thi Minh Ha Dang, Lan Huu Nguyen, Hoa Binh Nguyen, Luong Van Dinh, Nguyen Viet Nhung, Tom Wingfield, Kristi Sidney Annerstedt, Jad Shedrawy, Knut Lönnroth

Bibliographic record

VenueHealth and Quality of Life Outcomes · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealth Systems, Economic Evaluations, Quality of Life
Canadian institutionsnot available
FundersEuropean CommissionGlobal Affairs CanadaKarolinska InstitutetUnited States Agency for International Development
KeywordsQuality of life (healthcare)Viet namEQ-5DTuberculosisQuality of Life ResearchGerontologyEnvironmental healthHealth related quality of lifeMedicinePsychologyMEDLINEPublic healthSociologyPolitical scienceNursingEthnology

Abstract

fetched live from OpenAlex

Abstract Background In many settings, Tuberculosis (TB) represents a catastrophic life event that substantially impairs a person’s Health-Related Quality of Life (HRQoL). We aimed to measure HRQoL among people with TB in Viet Nam at initiation and throughout treatment. Methods This study took place in four provinces from Oct-2020 to Sep-2022. Persons initiated on TB treatment were consecutively recruited across three pathways to access care: passive case finding (NTP); active case finding (ACF); and private sector engagement (PPM). We conducted the EuroQol–5-Dimension–5-Level (EQ-5D-5L) survey during the intensive, continuation, and post-treatment phase. We described participant characteristics, assessed the survey’s psychometric properties, and calculated utility indexes using a Vietnamese value set. We reported these alongside visual analog scale (EQ-VAS) scores and EQ-5D-5L dimensions by treatment stage, care pathway and other participant characteristics. Mixed-effect Tobit models were fitted to identify relevant associations with HRQoL, which we compared to general population benchmarks. Results We recruited 585 participants (23.6% female) with a median age of 51 years. EQ-5D-5L dimensions at baseline showed that 53.8% experienced pain/discomfort and 35.0% felt anxiety/depression , while 33.8%, 30.4%, and 9.6% reported problems with carrying out usual activities , mobility , and self-care , respectively. The mean utility index was 0.83 (95% confidence interval: [0.82, 0.85]) and mean EQ-VAS was 67.1 (95%CI: [65.6, 68.6]). Post-treatment, HRQoL improved significantly on all dimensions and composite measures. While utility indexes were at parity with general population benchmarks (0.90; 95%CI: [0.89, 0.92] vs. 0.91), self-reported EQ-VAS scores remained significantly lower (79.4; 95%CI: [78.1, 80.6] vs. 87.4). HRQoL was higher at baseline in the ACF versus the NTP cohorts on utility index (0.87 vs. 0.82; p = 0.003) and EQ-VAS score (70.4 vs. 65.5; p = 0.015). The EQ-5D-5L tool demonstrated moderate to high validity on Cronbach’s alpha (0.75 ≤ α ≤ 0.84) and Spearman’s rho (0.4679 ≤ ρ 0 ≤ 0.5651) across treatment stages and various known groups. Conclusion TB significantly impairs HRQoL among affected Vietnamese people. While treatment partially remedies these impairments, they may persist post-TB. Hence, physical, psychological and social rehabilitation during and after therapy should receive more attention. We found evidence that ACF may mitigate TB-related declines in HRQoL, but tailored studies are needed to substantiate these findings.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.539
GPT teacher head0.442
Teacher spread0.096 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations4
Published2025
Admission routes1
Has abstractyes

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