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Chronic Illness and Quality of Life 5 Years After Displacement Among Rohingya Refugees in Bangladesh

2024· article· en· W4402555934 on OpenAlexaff
Ahmed Hossain, Redwan Bin Abdul Baten, Altaf Saadi, Juwel Rana, Taifur Rahman, Hasan Mahmud Reza, Mohamad Alameddine

Bibliographic record

VenueJAMA Network Open · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Geopolitics and Ethnography
Canadian institutionsMcGill University
FundersNational Institute of Neurological Disorders and StrokeNational Institutes of Health
KeywordsRefugeeMedicineQuality of life (healthcare)Psychological interventionDisplaced personCross-sectional studyGerontologyDemographyPsychiatryGeographyPathology

Abstract

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Importance: Rohingya refugees, forcibly displaced from Myanmar, face challenges adapting to Bangladesh. Examining their quality of life (QOL) is vital to identifying nuanced factors associated with their well-being, informing targeted interventions for an improved QOL. Objectives: To identify the QOL among Rohingya refugees 5 years after migration to Bangladesh, with a particular emphasis on understanding the complex interplay between sociodemographic factors and chronic illnesses. Design, Setting, and Participants: A cross-sectional study involving resettled Rohingya adults was conducted between May 18 and July 7, 2021, approximately 5 years after their resettlement in Bangladesh. Of the participants, 500 individuals were healthy, whereas 558 individuals were undergoing treatment for at least 1 chronic disease. Data were analyzed from January to February 2024. Main Outcomes and Measures: The study assessed QOL using the short version of the World Health Organization's QOL Questionnaire, covering 4 domains: physical, psychological, social, and environmental. Scores were transformed to a maximum of 100. Tobit linear regression, adjusted for potential confounders, was employed for analysis. Results: The study included a total of 1058 respondents, who were predominantly female (630 participants [59.5%]) and had a mean (SD) age of 42.5 (16.1) years. Despite being healthy, individuals without chronic illnesses had median QOL scores ranging from 44 to 56 out of 100, indicating a relatively poor QOL. A total of 260 participants (46.6%) with chronic diseases reported very poor or poor QOL, in contrast to 58 healthy individuals (11.6%) in the fifth year after displacement. Specifically, patients with cancer and those who had multimorbidity exhibited the lowest QOL scores across all domains, with significant reductions in the physical health (10.57 decrease; 95% CI, -12.97 to -8.17) and psychological domain scores (7.20 decrease; 95% CI, -9.71 to -5.93) according to Tobit regression analysis. Conclusions and Relevance: This study found that chronic illnesses were associated with all domains of QOL among Rohingya refugees, particularly those with musculoskeletal disorders, cancer, and multimorbid conditions. This heightened vulnerability may contribute to poor QOL in this population. By uncovering these disparities, the study lays the groundwork for targeted interventions and policies aligned with the United Nations' goal of leaving no one behind in sustainable development efforts.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.117
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.337
Teacher spread0.316 · 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 teacher head, 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".

Quick stats

Citations14
Published2024
Admission routes1
Has abstractyes

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