ArticleBMC health services research2019
Psychometric evaluation of an interview-administered version of the WHOQOL-BREF questionnaire for use in a cross-sectional study of a rural district in Bangladesh: an application of Rasch analysis.
Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed.
- Psychometric validation of the Indonesian verbal abuse questionnaire (I-VAQ) for adolescents using rasch analysis.Journal of education and health promotion · 2025Article
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- Modern psychometric evaluation of Thai WHOQOL-BREF and its shorter versions in patients undergoing warfarin in Thailand: Rasch analysis.Scientific reports · 2024Article
- Psychometric evaluation of the WHOQOL-BREF and its shorter versions for general Thai population: confirmatory factor analysis and Rasch analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
- Rasch validation of the Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) in community-dwelling adults.BMC psychology · 2023Article
- Physical body experiences questionnaire simplified for active aging (PBE-QAG): Rasch validation.PloS one · 2023Article
- Assessing the dimensionality of scores derived from the Revised Formal Thought Disorder Self-Report Scale in schizotypy.PloS one · 2022Article
- Psychometric evaluation of the modified 19-item Bengali version of WHOQOL scale using Rasch analysis: a cross-sectional study of a rural district in Bangladesh.BMC psychology · 2020Article
- Article
- An assessment of awareness of mental health conditions and its association with socio-demographic characteristics: a cross-sectional study in a rural district in Bangladesh.BMC health services research · 2019Article
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Abstract
backgroundThis study aimed to validate the psychometric properties of the World Health Organization Quality of Life Instrument, Short Form (WHOQOL-BREF) questionnaire for use in a rural district of Bangladesh.
methodsThis cross-sectional study recruited a multi-stage cluster random sample of 2425 participants from the rural district Narail of Bangladesh in May-July 2017. Rasch analysis was carried out using the sampled participants, as well as multiple validation random sub-samples of 300 participants, to validate four domains of the WHOQOL-BREF questionnaire: physical, psychological, social and environmental.
resultsThe original WHOQOL-BREF appeared to be a poor fit for both sampled and sub-sampled group of participants in Narail district in all underlying domains: physical, psychological, social and environmental. Two items (sleep and work capacity) from the physical domain, two items (personal belief and negative feelings) from the psychological domain and three items (home environment, health care and transport) from the environment domain were excluded for goodness of fit of the Rasch model. The social domain exhibited reasonably reliable fitness while fulfilling all the assumptions of the Rasch model. A modified version of the WHOQOL-BREF questionnaire using five-items for the physical ([Formula: see text] = 36.47, p = 0.013, Person Separation Index (PSI) = 0.773), four-items for the psychological ([Formula: see text] = 28.30, p = 0.029, PSI = 0.708) and five-items for the environmental ([Formula: see text] = 36.97, p = 0.011, PSI = 0.804) domain was applied, which showed adequate internal consistency, reliability, unidimensionality, and similar functioning for different age-sex distributions.
conclusionsThe modified WHOQOL-BREF questionnaire translated into Bengali language appeared to be a valid tool for measuring quality of life in a typical rural district in Bangladesh. Despite some limitations of the modified WHOQOL-BREF questionnaire, further application of Rasch analysis using this version or an improved one in other representative rural areas of Bangladesh is recommended to assess the external validity of the outcomes of this study and to determine the efficacy of this tool to measure the quality of life at the national rural level.
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