Programmatic vulnerability in health: Concept analysis

• Autor(a) principal: Azevedo, Samir Gabriel Vasconcelos
• Data de Publicação: 2022
• Outros Autores: Florêncio, Raquel Sampaio, Cestari, Virna Ribeiro Feitosa, Monteiro da Silva, Maria Adelane, Pessoa, Vera Lúcia Mendes de Paula, Moreira, Thereza Maria Magalhães
• Tipo de documento: Artigo
• Idioma: por; eng
• Título da fonte: Reme (Online)
• Texto Completo: https://periodicos.ufmg.br/index.php/reme/article/view/39021
• topic: Vulnerabilidade em Saúde; Formação de Conceito; Estudo sobre Vulnerabilidade; Análise de Vulnerabilidade; Saúde; Serviços de Saúde; Health Vulnerability; Concept Formation; Vulnerability Study; Vulnerability Analysis; Heath; Health Services; Vulnerabilidad en Salud; Formación de Concepto; Estudio de Vulnerabilidad; Análisis de Vulnerabilidad; Salud; Servicios de Salud

Objective: to conceptually analyze programmatic vulnerability with the identification of its antecedents, attributes, and consequences. Method: conceptual analysis model according to the Walker and Avant methodology. There were steps, I. selection of the concept: programmatic vulnerability; II. determination of objectives: analysis of the use of the concept; III. identification of uses of the concept: integrative review study (the uncontrolled expression “programmatic vulnerabilty” was searched in the Embase, Web of Science and Medline databases via Pubmed and in the article repositories Biblioteca Virtual em Saúde and Scielo); IV. determination of attributes: analysis of records from stage III; V. identification of the model case and additional cases: construction based on attributes and an otherwise; VI. identification of antecedents and consequences: panel of data for elaboration of phenomena before and after programmatic vulnerability; VII. empirical reference: operational definitions extracted from the records. Results: 20 records were included in the concept analysis. Variations of the term and the most common meanings that characterize programmatic vulnerability were identified, with the programmatic dimension and access to health being the most frequent. The model case was built. The antecedents, attributes and consequences were grouped in a table by similarity, in which empirical references of the concept were indicated. Conclusion: programmatic vulnerability has important discursive elements, its main characteristic being the lack of available consultations (antecedent), insufficiency/difficulty in accessing health (attribute) and disease evolution (consequent).