RESUMO
BACKGROUND: Serious preventable surgical events still occur despite considerable efforts to improve patient safety. In addition to learning from retrospective analyses, prospective risk-assessment methods may help to decrease preventable events further by targeting perioperative hazards. The aim of this systematic review was to assess the methods used to identify perioperative patient safety risks prospectively, and to describe the risk areas targeted, the quality characteristics and feasibility of methods. METHODS: MEDLINE, Embase, CINAHL and Cochrane databases were searched, adhering to PRISMA guidelines. All studies describing the development and results of prospective methods to identify perioperative patient safety risks were included and assessed on methodological quality. Exclusion criteria were interventional studies, studies targeting one specific issue, studies reporting on structural factors relating to fundamental hospital items, and non-original or case studies. RESULTS: The electronic search resulted in 16 708 publications, but only 20 were included for final analysis, describing five prospective risk-assessment methods. Direct observation was used in most studies, often in combination. Direct (16 studies) and indirect (4 studies) observations identified (potential) adverse events (P)AEs, process flow disruptions, poor protocol compliance and poor practice performance. (Modified) Healthcare Failure Mode and Effect Analysis (HFMEA™) (5 studies) targeted potential process flow disruption failures, and direct (P)AE surveillance (3 studies) identified (P)AEs prospectively. Questionnaires (3 studies) identified poor protocol compliance, surgical flow disturbances and patients' willingness to ask questions about their care. Overall, quality characteristics and feasibility of the methods were poorly reported. CONCLUSION: The direct (in-person) observation appears to be the primary prospective risk-assessment method that currently may best help to target perioperative hazards. This is a reliable method and covers a broad spectrum of perioperative risk areas.
ANTECEDENTES: A pesar de los esfuerzos considerables para mejorar la seguridad del paciente, aún se producen complicaciones quirúrgicas graves prevenibles. Además de adquirir conocimientos a través de los análisis retrospectivos, los métodos de evaluación de riesgos prospectivos por su enfoque en los riesgos perioperatorios, pueden ayudar a disminuir aún más los efectos adversos prevenibles. Esta revisión sistemática tiene como objetivo evaluar los métodos utilizados para identificar de forma prospectiva los riesgos perioperatorios de seguridad del paciente, describiendo las áreas de riesgo y las características de calidad y viabilidad de los métodos. MÉTODOS: Se realizaron búsquedas en las bases de datos MEDLINE, EMBASE, CINAHL y Cochrane siguiendo las recomendaciones PRISMA. Se incluyeron todos los estudios que describían el desarrollo y los resultados de métodos prospectivos para identificar los riesgos perioperatorios de seguridad del paciente y se evaluó su calidad metodológica. Se excluyeron los estudios de intervención, aquellos estudios dirigidos a un tema específico, los estudios enfocados a factores estructurales relacionados con elementos hospitalarios clave, y los estudios no originales o series de casos. RESULTADOS: La búsqueda electrónica identificó 16.708 publicaciones, pero solamente se incluyeron 20 publicaciones en las que se describían 5 métodos prospectivos de evaluación de riesgos. La observación directa fue el método utilizado en la mayoría de los estudios, a menudo en combinación con métodos indirectos. Las observaciones directas (80%) e indirectas (20%) identificaron efectos adversos potenciales (potential adverse events, (P)AEs), disrupciones en el flujo de los procesos, baja adherencia a los protocolos y prácticas deficientes. El análisis (modificado) de fallo de la atención sanitaria por modo y efecto (Healthcare-Failure-Mode-and-Effect Analysis) (25%) enfocado a fallos potenciales de disrupción de los procesos y la vigilancia directa de los (P)AEs (16%) identificaron (P)AEs de forma prospectiva. Los cuestionarios (15%) identificaron una baja adherencia a los protocolos, alteraciones en el flujo del proceso quirúrgico y la disposición de los pacientes para hacer preguntas sobre su atención. En general, las características de calidad y la viabilidad de los métodos se describían de manera deficiente. CONCLUSIÓN: La observación directa (en persona) es el principal método prospectivo de evaluación de riesgos que actualmente podría ser el mejor método para el enfoque en los riesgos perioperatorios. Es un método confiable y cubre un amplio espectro de áreas de riesgo perioperatorio.
Assuntos
Segurança do Paciente , Estudos Prospectivos , Medição de Risco/métodos , Procedimentos Cirúrgicos Operatórios/efeitos adversos , Humanos , Período Perioperatório , Fatores de RiscoRESUMO
BACKGROUND: Patient safety is a fundamental value of healthcare to avoid patient harm. Non-compliance with patient safety standards may result in patient harm and is therefore a global concern. A Self-assessment Instrument for Perioperative Patient Safety (SIPPS) monitoring and benchmarking compliance to safety standards was validated in a multicentre pilot study. METHODS: A preliminary questionnaire, based on the Dutch perioperative patient safety guidelines and covering international patient safety goals, was evaluated in a first digital RAND Delphi round. The results were used to optimize the questionnaire and design the SIPPS. For measurement and benchmarking purposes, SIPPS was categorized into seven main patient safety domains concerning all care episode phases of the perioperative trajectory. After consensus was reached in a face-to-face Delphi round, SIPPS was pilot-tested in five hospitals for five characteristics: measurability, applicability, improvement potential, discriminatory capacity and feasibility. RESULTS: The results of the first Delphi round showed moderate feasibility for the preliminary questionnaire (81·6 per cent). The pilot test showed good measurability for SIPPS: 99·8 per cent of requested information was assessable. Some 99·9 per cent of SIPPS questions were applicable to the selected respondents. With SIPPS, room for improvement in perioperative patient safety compliance was demonstrated for all hospitals, concerning all safety domains and all care episode phases of the perioperative trajectory (compliance 76·1 per cent). SIPPS showed mixed results for discriminatory capacity. SIPPS showed good feasibility for all items (range 91·9-95·7 per cent). CONCLUSION: A self-assessment instrument for measuring perioperative patient safety (SIPPS) compliance meeting international standards was validated. With SIPPS, improvement areas for perioperative patient safety and best practices across hospitals could be identified.
RESUMO
BACKGROUND: A Surgical Patient safety Observation Tool (SPOT) was developed and tested in a multicentre observational pilot study. The tool enables monitoring and benchmarking perioperative safety performance across departments and hospitals, covering international patient safety goals. METHODS: Nineteen perioperative patient safety observation topics were selected from Dutch perioperative patient safety guidelines, which also cover international patient safety goals. All items that measured these selected topics were then extracted from available local observation checklists of the participating hospitals. Experts individually prioritized the best measurement items per topic in an initial written Delphi round. The second (face to face) Delphi round resulted in consensus on the content of SPOT, after which the measurable elements (MEs) per topic were defined. Finally, the tool was piloted in eight hospitals for measurability, applicability, improvement potential, discriminatory capacity and feasibility. RESULTS: The pilot test showed good measurability for all 19 patient safety topics (range of 8-291 MEs among topics), with good applicability (median 97 (range 11·8-100) per cent). The overall improvement potential appeared to be good (median 89 (range 72·5-100) per cent), and at topic level the tool showed good discriminatory capacity (variation 27·5 per cent, range in compliance 72·5-100 per cent). Overall scores showed relatively little variation between the participating hospitals (variation 13 per cent, range in compliance 83-96 per cent). All eight auditors considered SPOT a straightforward and easy-to-use tracer tool. CONCLUSION: A comprehensive tool to measure safety of care was developed and validated using a systematic, stepwise method, enabling hospitals to monitor, benchmark and improve perioperative safety performance.