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Use este identificador para citar o ir al link de este elemento: http://hdl.handle.net/1843/62277
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Campo DCValorIdioma
dc.creatorMiriam Francisco de Souzapt_BR
dc.creatorAlaneir de Fatima Dos Santospt_BR
dc.creatorIlka Afonso Reispt_BR
dc.creatorMarcos Antonio da Cunha Santospt_BR
dc.creatorAlzira Oliveira Jorgept_BR
dc.creatorAnthonio Thomaz Gonzaga da Mata Machadopt_BR
dc.creatorMariangela Leal Cherchigliapt_BR
dc.date.accessioned2024-01-02T18:12:13Z-
dc.date.available2024-01-02T18:12:13Z-
dc.date.issued2017-
dc.citation.volume51pt_BR
dc.citation.spage1pt_BR
dc.citation.epage10pt_BR
dc.identifier.doi10.11606/s1518-8787.2017051007024pt_BR
dc.identifier.issn15188787pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/62277-
dc.description.resumoOBJECTIVE: Analyze the quality of the National Program for Primary Care Access and Quality Improvement variables to evaluate the coordination of primary care. METHODS: A cross-sectional study based on data from 17,202 primary care teams that participated in the National Program for Primary Care Access and Quality Improvement in 2012. Based on the Item Response Theory, Samejima’s Gradual Response Model was used to estimate the score related to the level of coordination. The Cronbach’s alpha and Spearman’ coefficients and the point-biserial correlation were used to analyze the internal consistency and the correlation between the items and between the items and the total score. We evaluated the assumptions of unidimensionality and local independence of the items. Cloud-type word charts aided in the interpretation of coordination levels. RESULTS: The Program items with the greatest discrimination in coordination level were: telephone/Internet existence, institutional communication flows, and matrix support actions. The specialists’ contact frequency with the primary care and integrated electronic medical record required a greater level of coordination among the teams. The Cronbach’ alpha was 0.8018. The institutional communication flows and telephone/Internet items had a higher correlation with the total score. Coordination scores ranged from -2.67 (minimum) to 2.83 (maximum). More communication, information exchange, matrix support, health care in the territory and the domicile had a significant influence on the levels of coordination. CONCLUSIONS: The ability to provide information and the frequency of contact among professionals are important elements for a comprehensive, continuous and high-quality car.pt_BR
dc.format.mimetypepdfpt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICX - DEPARTAMENTO DE ESTATÍSTICApt_BR
dc.publisher.departmentMED - DEPARTAMENTO DE MEDICINA PREVENTIVA SOCIALpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofRevista de Saúde Pública-
dc.rightsAcesso Abertopt_BR
dc.subjectPrimary Health Carept_BR
dc.subjectHealth Services Accessibilitypt_BR
dc.subjectHealth Services Evaluationpt_BR
dc.subjectEfficiencypt_BR
dc.subjectQuality Assurancept_BR
dc.subjectHealth Carept_BR
dc.subject.otherPrimary Health Carept_BR
dc.subject.otherHealth Services Accessibilitypt_BR
dc.subject.otherHealth Services Researchpt_BR
dc.subject.otherEfficiencypt_BR
dc.subject.otherQuality Assurance, Health Carept_BR
dc.subject.otherHealth Carept_BR
dc.titleCare coordination in pmaq-ab: an item response theory-based analysispt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://doi.org/10.11606/S1518-8787.2017051007024pt_BR
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