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Record W2006871353 · doi:10.5539/ass.v11n10p348

Health Seeking Behavior of the Bangladeshi Migrant Workers in Malaysia: Some Suggestive Recommendations in Adjustive Context

2015· article· en· W2006871353 on OpenAlexvenueno aff
A.H.M Zehadul Karim, Nurazzura Mohamad Diah

Bibliographic record

VenueAsian Social Science · 2015
Typearticle
Languageen
FieldHealth Professions
TopicGlobal Health and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsSnowball samplingContext (archaeology)Health careKuala lumpurMigrant workersBusinessEconomic growthSocioeconomicsEnvironmental healthMedicineGeographySociologyMarketing

Abstract

fetched live from OpenAlex

Background: Recently, there have been an increasing number of literatures on health seeking behavior of different segments of society in the urban and non-urban regions but rarely have these studies emphasized the health care issues related to migrant workers. With this paucity of investigation, this research focuses on the needs and assessment of Bangladeshi workers working in Malaysia and thus contextualizes it to their health care situation.Methodology and Data Sources: This study is an outcome of a baseline survey conducted in and around Kuala Lumpur city in Malaysia. Based on the snowball technique, the research identified a total of 200 workers through convenience random sampling and interviewed them face-to-face, most extensively with a set of structured questionnaire. The research was further supplemented by a few FGDs.Findings: Until recently, the bulk of migrant workers from Bangladesh come to Malaysia because of bilateral agreements signed by both governments from time to time since 1992. Among these Bangladeshi migrant workers, there is a lack of health facilities in part because of the absence of any precise specification in the agreements. Most of the Bangladeshi migrant workers in Malaysia therefore, are fully devoid of having any Medicare facilities from their respective place of employment and working farms. This is evident when it was pronounced by 87% of Bangladeshi workers who said clearly that they do not receive any medical support or health protection and privileges in times of necessity and crisis. Since they are not protected by any medical insurance whatsoever, they are always afraid of seeing a medical doctor or to visit any health clinics or hospitals. Moreover, due to not having proper documents and also because of other problems and complications, many illegal workers are often denied access to this medical assistance. Most of the workers for that reason either bring some medicine from their back homes or remain sick without getting any proper medical treatment.Conclusions and Recommendations: Because there are no specific agreements on health care issues between Bangladesh and Malaysia, it directs us to conclude that the health care aspects of the foreign workers which are their rights are being ignored. Although foreign workers in Malaysia are accorded equal rights with that of the locals, due to absence of any precise specification on health aspects, these workers are unable to get benefits from the system. For that reason, in the later part of the research, we have concluded with a recommendation saying that since Malaysia is providing placement for a huge number of Bangladeshi workers, it is therefore the government of Bangladesh who should provide initial health support to these workers through a team of medical professionals employed at their foreign mission located in this country.

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)0.005
metaresearch head score (Gemma)0.001
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 score0.143
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
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 head0.100
GPT teacher head0.449
Teacher spread0.349 · 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

Citations23
Published2015
Admission routes1
Has abstractyes

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