ReviewJournal of patient-reported outcomes2024
A conceptual model for chronic hepatitis B and content validity of the Hepatitis B Quality of Life (HBQOL) instrument.
Review in Journal of patient-reported outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- [Development and reliability and validity testing of the Medication Literacy Scale for patients with chronic heart failure].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2026Article
- Meta-analysis of factors associated with the incidence of comorbid depression and anxiety in patients with chronic hepatitis B.World journal of psychiatry · 2025Article
- Envisioning a Multidisciplinary HBV Cure Research Agenda.Current HIV/AIDS reports · 2025Review
- Exploring the patient experience of chronic hepatitis D (CHD) and assessment of content validity of the Hepatitis Quality of Life Questionnaire and (HQLQv2) and the Fatigue Severity Scale (FSS).Journal of patient-reported outcomes · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundThere is increased emphasis on incorporating patient perspectives and patient-relevant endpoints in drug development. We developed a conceptual model of the impact of chronic hepatitis B (CHB) on patients' lives and evaluated the content validity of the Hepatitis B Quality of Life (HBQOL) instrument, a patient-reported outcome tool for use in clinical studies, as a patient-relevant endpoint to measure health-related quality of life in patients with CHB.
methodsA literature review of qualitative studies of patient experience with CHB and concept elicitation telephone interviews with patients with CHB in the United Kingdom were used to develop a conceptual model of the experience and impact of living with CHB. The content validity of the HBQOL was evaluated using cognitive debriefing techniques.
resultsThe qualitative literature review (N = 43 publications) showed that patients with CHB experience emotional/psychological impacts. During concept elicitation interviews (N = 24), fatigue was the most commonly reported symptom, and most participants were worried/anxious about virus transmission and disease progression/death. A conceptual model of patients' experiences with CHB was developed. The conceptual relevance and comprehensibility of the HBQOL were supported, though limitations, including the lack of a self-stigma item and recall period, were noted for future improvement.
conclusionsThe conceptual model shows that patients with CHB experience emotional/psychological impacts that affect their lifestyles, relationships, and work/schooling. The cognitive debriefing interviews support the content validity of the HBQOL as a conceptually relevant patient-reported outcome measure of health-related quality of life.
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What OpenQuestion holds
Registered trials
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.