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Record W7119303825

Health Promoting School: initial implementation process in Belo Horizonte/MG/Brazil

2023· dissertation· pt· W7119303825 on OpenAlexaboutno aff
Bárbara da Silva Mourthé Matoso

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2023
Typedissertation
Languagept
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsPsychological interventionCharterImplementation researchScarcityProcess (computing)Program evaluationPromotion (chess)Health promotionScale (ratio)
DOInot available

Abstract

fetched live from OpenAlex

The Health Promoting Schools (HPS) program aims to provide students with access to health promotion actions, leading to improvements in their quality of life and school performance. However, the implementation of the program on a large scale has been successful in only a few countries. Additionally, there is a scarcity of studies addressing the challenges of HPS implementation and strategies to overcome them. This thesis evaluates the initial implementation process of the HPS model proposed by the Affordable Health Initiative (AHI) in schools attending socially vulnerable communities, in Belo Horizonte (BH). The AHI HPS model is based on the Ottawa Charter and Implementation Research (IR) and includes dental care among its interventions. The first stage of this thesis involved qualitative research to assess the acceptability, adoption, sustainability, and feasibility of the AHI HPS model. Content analysis was conducted on 10 records of meetings held by the Implementation Committee (IC). Additionally, five interviews were conducted with key informants who attended the meetings. The participants expressed acceptance and willingness to contribute to the implementation of the model, recognizing its simplicity and suitability for schools. Facilitating factors included joint planning, intersectoral collaboration, and alignment with existing policies and actions. However, barriers such as parental engagement, limited resources, funding, and time constraints were acknowledged, which must be addressed for successful implementation. The second stage comprised a scoping review to map and synthesize the literature on implementation research that assessed the cost of health-promoting interventions in elementary schools. The searches were conducted in the databases: LILACS, MEDLINE, Cochrane, Scopus, Web of Science, Embase, Eric, and in gray literature (Google Scholar), in January 2022, using filters for publication date and language. A total of 492 articles were selected, and 11 met the eligibility criteria. As the studies involved interventions from different health promotion areas, it was impossible to compare costs and effects. The results pointed out that despite the cost being widely referred to as a barrier to implementing school health interventions, there are still few studies on the subject. The reporting of economic evaluations requires attention as they failed to report data, such as the analytical perspective, methods of measuring costs, and treatment of uncertainty. As a result of this thesis, it was decided to conduct an ongoing systematic review of the literature on the cost components of school-based oral health-promoting programs to provide tools for the cost analysis of dental care proposed by the AHI HPS model. It is expected that the findings of this thesis will contribute to improvements in the implementation process of the program in the participating schools, and encourage and support its expansion to others.

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)0.033
metaresearch head score (Gemma)0.050
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.334

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.050
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0040.002
Scholarly communication0.0040.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.050
GPT teacher head0.404
Teacher spread0.355 · 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
Published2023
Admission routes1
Has abstractyes

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