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Record W3029651813 · doi:10.1007/s00268-020-05608-w

A Household Survey to Evaluate Access to Surgical Care in Vanuatu

2020· article· en· W3029651813 on OpenAlexaff
Noah Bunkley, Ian Bissett, Muhammed Buka, J. Bong, Basil Leodoro, Anna Dare, William Perry

Bibliographic record

VenueWorld Journal of Surgery · 2020
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsCanada Research ChairsUniversity of TorontoUniversity of New Brunswick
FundersUniversity of Auckland
KeywordsMedicineHealth carePsychological interventionDemographicsRural areaSocioeconomic statusPort (circuit theory)Family medicineGeographySocioeconomicsNursingEnvironmental healthEconomic growthPopulationDemography

Abstract

fetched live from OpenAlex

INTRODUCTION: Surgical care is an integral part of any healthcare system, yet there is a paucity of data on the burden of surgical disease, surgical capacity and access to surgical services in the Pacific region. This study aimed to evaluate access to surgical care through a pilot household survey in the Vanuatu island of Efate and five of its surrounding islands. METHODS: The 2009 Vanuatu census' GPS coordinates were used to randomly select 150 rural and 150 urban households from Efate and its surrounding islands. A total of 143 urban households and 142 rural households were available for inclusion in this study. A household questionnaire was developed to evaluate access to surgical care and included information regarding household demographics, socio-economic indicators and perceived and realised barriers to accessing care. The questionnaire was administered by local health workers, and data were collected electronically. RESULTS: Questionnaires were completed by 285 households. Two hundred and forty-one out of 254 (94.8%) households reported being able to access Port Vila Hospital, if required. The most commonly cited potential barriers to accessing surgical care were financial constraints (42.4%) and transport (26.4%). CONCLUSION: Our results provide important insights into the geographic, sociocultural and economic barriers to seeking, reaching and receiving surgical care in this region of Vanuatu. Identifying specific areas and communities with poor access to care, alongside the determinants of access, will help in designing both clinical and policy interventions to improve access to surgical care.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.014
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
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 head0.155
GPT teacher head0.382
Teacher spread0.227 · 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
Published2020
Admission routes1
Has abstractyes

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