Assessing the hospital survey of patient safety culture. A review of the assumptions, methods and data analysis protocol

dc.contributor.authorAzevedo, Kevin Barros
dc.contributor.authorSilva, Carlos Alberto da
dc.contributor.authorAbrantes, António
dc.contributor.editorCICS.NOVA.UÉvora, Centro Interdisciplinar de Ciências Sociais da Universidade de Évora
dc.date.accessioned2018-02-05T16:30:23Z
dc.date.available2018-02-05T16:30:23Z
dc.date.embargo2017-12
dc.date.issued2017-12
dc.description.abstractPatient safety theme is becoming one of the most discussed theme in healthcare facilities, mainly at hospitals. The main aim of this paper was to present a review of the structure Hospital Survey on Patient Safety Culture model (HSOPSC) and analyze in a brief summary of the main researches that were developed recently using this survey model to explain the patient safety culture dimensions. This instrument was created by the Agency for Healthcare Research and Quality (AHRQ) and became a survey commonly used in the United States of America and increasingly used internationally, with or without adaptations.por
dc.identifier.authoremailkbazevedo@ualg.pt
dc.identifier.authoremailcasilva@uevora.pt
dc.identifier.authoremailaabrantes@ualg.pt
dc.identifier.citationAzevedo, K., Silva, C. & Abrantes, A. (2017). Assessing the hospital survey of patient safety culture. A review of the assumptions, methods and data analysis protocol, 2(3), pp. 7-31. ISSN: 2183-9220. Disponível em http://www.revistas.uevora.pt/index.php/desenvolvimento_sociedade/article/view/218por
dc.identifier.issn2183-9220
dc.identifier.scientificarea274por
dc.identifier.urihttp://hdl.handle.net/10174/22037
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherCICS.NOVA.UÉvora - Centro Interdisciplinar de Ciências Sociais da Universidade de Évorapor
dc.rightsopenAccesspor
dc.subjectPatient safetypor
dc.subjecthospitalpor
dc.subjectsurveypor
dc.subjectqualitypor
dc.subjectculturepor
dc.titleAssessing the hospital survey of patient safety culture. A review of the assumptions, methods and data analysis protocolpor
dc.typearticlepor

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