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Record W4367300289 · doi:10.22605/rrh7676

Aeromedical retrievals as a measure of potentially preventable hospitalisations and cost comparison with provision of GP-led primary health care in a remote Aboriginal community

2023· article· en· W4367300289 on OpenAlexaboutno aff
Wieland Wieland, Abernethy

Bibliographic record

VenueRural and Remote Health · 2023
Typearticle
Languageen
FieldMedicine
TopicTrauma and Emergency Care Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStaffingAuditCommunity healthMedical emergencyPopulationPrimary careHealth careEnvironmental healthPublic healthEmergency medicineFamily medicineNursing

Abstract

fetched live from OpenAlex

INTRODUCTION: Kowanyama is a very remote Aboriginal community on the Cape York Peninsula of Far North Queensland, Australia. It is among the five most disadvantaged communities in Australia, with a very high burden of disease. It has access to 2.5 days each week of fly-in, fly-out, GP-led primary health care for a population of 1200. All patients requiring higher level care undergo aeromedical retrieval to a bigger centre. A retrospective clinical audit of charts was undertaken assessing aeromedical retrievals from Kowanyama for the year 2019 to assess whether GP access might correlate with retrievals or hospital admissions for potentially preventable conditions and whether it could be cost-effective and improve outcomes to provide the benchmarked staffing of GPs. METHODS: Using a tool made by the authors for this audit, the management and reason for evacuation were assessed against Queensland Health's Primary Clinical Care Manual guidelines, whether the presence of a rural generalist GP would have prevented the need for retrieval, and assessed against accepted Australian (and Canadian) criteria for potentially preventable hospital admissions. Each retrieval was then assessed as 'preventable' or 'not preventable'. The cost of providing benchmark levels of GPs in community was compared with the cost of potentially preventable retrievals. RESULTS: In 2019, there were 89 retrievals of 73 patients. Thirty-nine percent (35) of all retrievals occurred when a doctor was on site. Of preventable retrievals, 33% (18) occurred with a doctor on site and 67% (36) occurred with no doctor on site. All retrievals with a doctor on site resulted in an admission. All immediate discharges (10% (9)) or deaths (1% (1)) were for retrievals without a doctor on site. Sixty-one percent (54) of all retrievals were potentially preventable, with the two most common conditions being pneumonia - non vaccine preventable (18% (9)) and bacterial/unspecified (14% (7)). Thirty-two percent (20) of patients accounted for 52% (46) of retrievals and of these 63% (29) were potentially preventable (compared to 61% overall). For preventable condition retrievals, the mean number of visits to the clinic compared to non-preventable condition retrievals was higher for registered nurse or Aboriginal Health Worker visits (1.24 v 0.93) and lower for doctor visits (0.22 v 0.37). The conservatively calculated costs of retrievals matched the maximum cost of providing benchmark numbers (2.6 full-time equivalents) of rural generalist doctors in a rotating model for the audited community. CONCLUSION: Greater access to GP-led primary health care may lead to fewer retrievals/hospital admissions for potentially preventable conditions. It is likely that some preventable condition retrievals might be avoided if full coverage with benchmarked numbers of rural generalist GPs in a GP-led primary health team was provided in remote communities. This may be cost-effective and improve patient outcomes, and should be further explored.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.904
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.350
Teacher spread0.331 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

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