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Record W2917376261 · doi:10.1111/jep.13117

Dementia in the Bangladeshi diaspora in England: A qualitative study of the myths and stigmas about dementia

2019· article· en· W2917376261 on OpenAlexfundno aff
Muhammad Hossain, Hafiz T. A. Khan

Bibliographic record

VenueJournal of Evaluation in Clinical Practice · 2019
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersAlzheimer Society
KeywordsDementiaThematic analysisQualitative researchMedicinePsychiatryPsychologyDiseaseSociology

Abstract

fetched live from OpenAlex

RATIONALE, AIMS AND OBJECTIVES: There is a paucity of research within the Bangladeshi community that is capable of explaining and predicting the experiences and concerns of Bangladeshi family carers providing care for their relatives with dementia. The purpose of this study is to explore the perspectives of Bangladeshi family carers' knowledge and day-to-day experiences living in England. METHODS: This is a qualitative study involving semistructured face-to-face interviews with six Bangladeshi family carers living in London and Portsmouth. Interviews were recorded with the consent and transcribed verbatim. Data were managed by using NVivo software, and thematic analysis was performed. RESULTS: This paper explores that most carers have a lack of knowledge and awareness of the symptoms of dementia. The results of this study are in contrast to previous studies, where South Asian carers perceived dementia as being possessed by evil spirits or God's punishment for previous life's sins; this study reveals that Bangladeshi family carers believed dementia was a medical condition. Unlike earlier South Asian studies, however, all family carers in this study also believed that there was no stigma attached to dementia. CONCLUSIONS: Further research is warranted to investigate the religious beliefs, familism, and interpersonal motives as theoretical perspectives to explain how Bangladeshi family carers negotiate and construct their caregiving roles for their relatives with dementia.

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)0.055
metaresearch head score (Gemma)0.021
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.987

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0550.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.102
GPT teacher head0.526
Teacher spread0.424 · 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; both teacher heads agree on what is shown here.

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

Citations39
Published2019
Admission routes1
Has abstractyes

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