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Record W7120869224

Atenção primária e rede de urgência e emergência: interfaces no âmbito de regiões de saúde no Brasil e Canadá

2019· dissertation· en· W7120869224 on OpenAlexaboutno aff
Liza Yurie Teruya Uchimura

Bibliographic record

VenueDigital Library of Theses and Dissertations (Universidade de São Paulo) · 2019
Typedissertation
Languageen
FieldHealth Professions
TopicMaternal and Neonatal Healthcare
Canadian institutionsnot available
Fundersnot available
KeywordsThematic analysisHealth carePrimary health careProcess (computing)Qualitative researchQualitative propertyData collectionQualitative analysisKey (lock)
DOInot available

Abstract

fetched live from OpenAlex

Introduction: There are many factors to be identified and flows to be established in the interface between primary care and the emergency care network. Comparing different health systems with processes of health policies based on regionalization can result in new health planning instruments. In this sense, understanding the regional arrangements and dynamics of the Canadian health system in a comparative study with the Brazilian reality enabled the implementation of strategies for the development of innovations and health management planning in Brazil. Objective: To identify the factors that interfere in the establishment of primary care and emergency care network interfaces in different socio-spatial realities (regions) and in different health systems. Methods: Two case studies: in Brazil, using mixed methods and in Canada, qualitative methods. The study in the North-Barretos and South-Barretos regions (São Paulo, Brazil) consists of interviews with key informants and analysis of secondary data. In the Mississauga Halton Local Health Integration Network and Toronto Central Local Health Integration Network (LHIN) (Ontario, Canada) interviews were conducted with key informants. The data from the structured questionnaires were tabulated using the PHP Line Survey - Open Source software. Statistical calculations were performed using SPSS Statistics for Windows, Version 22.0. Thematic analysis of the qualitative data (interviews with open-ended questions, meeting minutes and documents) was carried out in Atlas-ti software. The results of the case studies were analyzed independently and, finally, compared to identify their differences and similarities. The study was approved by the Ethics Committee of the University of São Paulo Faculty of Medicine, under process number 045/16. Results: Aspects of policy, structure and organization interfere at different levels between primary care and the emergency care network in the regions selected for this study. Regionalization as a dimension of health policy has presented satisfactory results for planning, decision making, and resource management focused on health needs, but has been insufficient for the integration of primary care and the emergency care network. Barriers and facilitators, at policy, structural and organizational levels, were identified for the integration of primary care and the emergency services in the studied regions. Conclusion: Health managers should recognize the interfaces and integrate the different health services and share knowledge and population health diagnoses. Fragmented health management is reflected in fragmented health care. To achieve effective integration among health services, stakeholders and policy makers should prioritize better management performance, effective teamwork forums, leadership training, and monitoring programs for each dimension of integrated 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.947
Threshold uncertainty score0.385

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0060.003
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.308
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2019
Admission routes1
Has abstractyes

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