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Record W4235570026 · doi:10.29392//001c.12028

Integrating, advocating and augmenting palliative care in Malaysia: a qualitative examination of the barriers faced and negotiated by Malaysian palliative care non-governmental organisations

2018· article· en· W4235570026 on OpenAlexaff
Charlene Lau, Martyn Pickersgill

Bibliographic record

VenueJournal of Global Health Reports · 2018
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsInstitute of Population and Public Health
FundersUniversity of EdinburghWellcome Trust
KeywordsPalliative careGovernment (linguistics)NursingHealth careBusinessMedicinePerceptionQualitative researchPublic relationsEconomic growthPolitical sciencePsychologySociology

Abstract

fetched live from OpenAlex

# Background Since its introduction in 1991, Malaysian palliative care has made significant progress, with an estimated 26 non-governmental organisations (NGOs) and 68 government hospitals providing palliative care facilities and services nationwide. Distinct models between these sectors create unique challenges for each sector in progressing palliative care, requiring different strategies to address these. # Methods Drawing on existing literature available on palliative care in Malaysia and interviews from 10 management and healthcare staff of Malaysian palliative care NGOs, this article casts new light on the field. Specifically, the paper explores the various health-related and policy-related challenges NGOs have identified in progressing palliative care in the country, as well as the current and future strategies they employ to address these. # Results Despite immense progress in Malaysian palliative care, existing services cannot meet the current and projected demand. The interviews identify numerous barriers hindering Malaysian palliative care, including financial matters, perception issues, logistical concerns and challenging government policies. # Conclusion Increased advocacy, establishment of specialised palliative care education, and greater co-operation between different sectors are strongly recommended to help develop palliative care in Malaysia.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.040
GPT teacher head0.429
Teacher spread0.388 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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