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Record W1991246822 · doi:10.5430/jha.v2n1p49

Exploring Indonesia’s “low hospital bed utilization-low bed occupancy-high disease burden” paradox

2012· article· en· W1991246822 on OpenAlexvenueno aff
Niyi Awofeso, Anu Rammohan, Asmaripa Ainy

Bibliographic record

VenueJournal of Hospital Administration · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Systems and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsOccupancyHospital bedPopulationMedicineGovernment (linguistics)Health careSocioeconomicsEnvironmental healthDemographyBusinessGeographyEconomic growthNursingEconomics

Abstract

fetched live from OpenAlex

Indonesia’s current hospital bed to population ratio of 6.3/10 000 population compares unfavourably with a global average of 30/10 000. Despite low hospital bed-to-population ratios and a significant “double burden” of disease, bed occupancy rates range between 55% - 60% in both government and private hospitals in Indonesia, compared with over 80% hospital bed occupancy rates for the South-East Asian region. Annual inpatient admission in Indonesia is, at 140/1 0 000 population, the lowest in the South East Asian region. Despite currently low utilisation rates, Indonesia’s Human Resources for Health Development Plan 2011-2025 has among its objectives the raising of hospital bed numbers to 10/10 000 population by 2014. The authors examined the reasons for the paradox and analysed the following contributory factors; health system’s shortcomings; epidemiological transition; medical tourism; high out-of-pocket payments; patronage of traditional medical practitioners, and increasing use of outpatient care. Suggestions for addressing the paradox are proposed.

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)0.000
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 score0.032
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
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 head0.080
GPT teacher head0.271
Teacher spread0.191 · 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

Citations13
Published2012
Admission routes1
Has abstractyes

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