Care coordination in pmaq-ab: an item response theory-based analysis

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dc.creatorMiriam Francisco de Souza
dc.creatorAlaneir de Fatima Dos Santos
dc.creatorIlka Afonso Reis
dc.creatorMarcos Antonio da Cunha Santos
dc.creatorAlzira Oliveira Jorge
dc.creatorAnthonio Thomaz Gonzaga da Mata Machado
dc.creatorMariangela Leal Cherchiglia
dc.date.accessioned2024-01-02T18:12:13Z
dc.date.accessioned2025-09-08T23:41:40Z
dc.date.available2024-01-02T18:12:13Z
dc.date.issued2017
dc.format.mimetypepdf
dc.identifier.doi10.11606/s1518-8787.2017051007024
dc.identifier.issn15188787
dc.identifier.urihttps://hdl.handle.net/1843/62277
dc.languageeng
dc.publisherUniversidade Federal de Minas Gerais
dc.relation.ispartofRevista de Saúde Pública
dc.rightsAcesso Aberto
dc.subjectPrimary Health Care
dc.subjectHealth Services Accessibility
dc.subjectHealth Services Research
dc.subjectEfficiency
dc.subjectQuality Assurance, Health Care
dc.subjectHealth Care
dc.subject.otherPrimary Health Care
dc.subject.otherHealth Services Accessibility
dc.subject.otherHealth Services Evaluation
dc.subject.otherEfficiency
dc.subject.otherQuality Assurance
dc.subject.otherHealth Care
dc.titleCare coordination in pmaq-ab: an item response theory-based analysis
dc.typeArtigo de periódico
local.citation.epage10
local.citation.spage1
local.citation.volume51
local.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.
local.publisher.countryBrasil
local.publisher.departmentICX - DEPARTAMENTO DE ESTATÍSTICA
local.publisher.departmentMED - DEPARTAMENTO DE MEDICINA PREVENTIVA SOCIAL
local.publisher.initialsUFMG
local.url.externahttps://doi.org/10.11606/S1518-8787.2017051007024

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