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Record W4405971415

Evidências da contribuição dos programas de assistência ao idoso na promoção do envelhecimento saudável no Brasil Evidence of the contribution of elderly support programs to healthy aging in Brazil

2011· article· pt· W4405971415 on OpenAlexaboutno aff
Larissa Fortunato Araújo, Carolina Gomes Coelho, Érica Toledo de Mendonça, Aline Vasconcellos Martins Vaz, Rodrigo Siqueira‐Batista, Rosângela Minardi Mitre Cotta

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2011
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsnot available
Fundersnot available
KeywordsGerontologyHealthy agingPsychologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

OBJETIVO: Buscar na literatura evidências relativas à contribuição dos programas de promoção da saúde no processo de envelhecimento saudável no Brasil. MÉTODOS: Pesquisaram-se as bases de dados Science Direct, SciELO, LILACS, IBECS, Biblioteca Cochrane e MEDLINE em busca de artigos que enfocassem iniciativas voltadas para a população idosa e o envelhecimento saudável, que avaliassem multidimensionalmente a qualidade de vida do idoso e que tratassem de aspectos relativos às práticas profissionais específicas em promoção da saúde. Para definir a eficácia das iniciativas, adotaram-se os seguintes critérios: ter metas que incluíssem a melhoria da saúde e do bem-estar; ter foco na saúde holística; usar o empoderamento como mecanismo central; atender os pré-requisitos da saúde e realizar ações nas áreas prioritárias da Carta de Ottawa. RESULTADOS: Foram identificados 10 artigos que se referiam a cinco programas de promoção da saúde do idoso no Brasil. Pode-se afirmar que todos os programas apresentados demonstraram elementos que vão ao encontro da promoção da saúde no envelhecimento por abranger características que permitem a inserção dos idosos na sociedade por meio da criação do ambiente de suporte para prevenção de agravos, aumento da capacidade funcional e melhoria da qualidade de vida, tendo sido atendidos os critérios de eficácia. CONCLUSÕES: É preciso produzir evidências científicas acerca da efetividade, eficiência e eficácia dos programas para a terceira idade para que se possa avaliar o valor dessas ações na promoção da saúde no envelhecimento. OBJECTIVE: To search the literature for evidence of the contribution of elderly health programs to the process of healthy aging in Brazil. METHODS: The databases Science Direct, SciELO, LILACS, IBECS, the Cochrane Library, and MEDLINE were searched to find articles focusing on initiatives developed for the elderly population and to promote healthy aging, providing a multidimensional evaluation of the quality of life of the elderly, and covering aspects relating to specific health promotion practices. The initiatives were considered effective if the following criteria were met: having goals that included the improvement of health and well-being, having a focus on holistic health, using empowerment as a central mechanism to improve health, and meeting the prerequisites for health and developing actions in the priority areas described in the Ottawa Charter. RESULTS: Ten articles referring to five elderly health promotion programs in Brazil were identified. All the programs met the efficacy criteria, and included elements that promoted healthy aging through characteristics that fostered the insertion of the elderly in society through the creation of a support environment for the prevention of injury, increase in functional capacity, and improvement of quality of life. CONCLUSIONS: Studies are required to produce scientific evidence on the efficacy, efficiency, and effectiveness of elderly health programs to determine the value of these actions to promote healthy aging.

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)0.015
metaresearch head score (Gemma)0.062
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.029
Threshold uncertainty score0.077

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.062
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.385
GPT teacher head0.606
Teacher spread0.221 · 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 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

Citations0
Published2011
Admission routes1
Has abstractyes

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