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Record W2138744906 · doi:10.1177/101053950301500111

The Need for Integrated Primary Health Care to Enhance the Effectiveness of Health Services

2003· article· en· W2138744906 on OpenAlexaff
Albert Lee

Bibliographic record

VenueAsia Pacific Journal of Public Health · 2003
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsCentre for Family Medicine
Fundersnot available
KeywordsMedicineHealth careHealth promotionPublic healthNursingHealth policyRehabilitationHealth educationPopulationFamily medicineEnvironmental healthPhysical therapy

Abstract

fetched live from OpenAlex

With the increasing prevalence of chronic illnesses and health compromising behaviours, health care expenditure is escalating with the expansion of hospital services. Integrated primary health care would enhance the cost effectiveness of health care delivery. Recent studies on primary care health services research in Hong Kong indicated that there is a high level of inappropriate utilisation of hospital emergency services, a high prevalence of youth health risk behaviours particularly mental health which would lead to a heavy burden on health services in the future. The community based rehabilitation provided a better quality of life for chronic illness patients, better drug compliance for chronic illness patients in family practice, and a disproportionate amount of budget is spent on law reinforcement and treatment for drug abuse rather than on prevention and education. The findings strongly indicate the need to have a strong primary health care team with well trained family physicians and trained health professionals as primary care practitioners to provide services on health promotion; curative; rehabilitation and supporting services; supporting self help activities of individuals, families and groups. This would minimize compartmentalisation in health care delivery, and is also a cost effective way of providing high quality holistic and comprehensive care that meets the needs of the majority of the population.

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)0.049
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.887
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0490.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.415
Teacher spread0.380 · 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.

Study designNot applicable
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

Citations10
Published2003
Admission routes1
Has abstractyes

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