Key result
Protocol outlines a 2-year evaluation of a data-driven app for managing perioperative adverse events.
Why the study?
To capitalise on the potential of apps to enhance perioperative medical quality, interventions developed with real-world users to support integrated management for perioperative adverse events are needed.
Does a data-driven integrated management app improve the reporting and management of perioperative adverse events among healthcare providers?
Does a data-driven integrated management app improve the reporting and management of perioperative adverse events among healthcare providers?
This study protocol outlines a mixed-methods approach to develop and evaluate a mobile app for managing perioperative adverse events in a Chinese hospital.
INTRODUCTION: A patient record review study conducted in 2006 in a random sample of 21 Dutch hospitals found that 51%-77% of adverse events are related to perioperative care, while Centers for Disease Control and Prevention data in USA in 2013 estimated that the medical error is the third-leading cause of mortality. To capitalise on the potential of apps to enhance perioperative medical quality, there is a need for interventions developed in consultation with real-world users designed to support integrated management for perioperative adverse events (PAEs). This study aims: (1) to access the knowledge, attitude and practices for PAEs among physicians, nurses and administrators, and to identify the needs of healthcare providers for a mobile-based PAEs tool; (2) to develop a data-driven app for integrated PAE management that meets those needs and (3) to test the usability, clinical efficacy and cost-effectiveness of the developed app. METHODS AND ANALYSIS: We will adopt an embedded mixed-methods research technique; qualitative data will be used to assess user needs and app adoption, while quantitative data will provide crucial insights to establish the demand for the app, and measure the app effects. Phase 1 will enrol surgery-related healthcare providers from the West China Hospital and identify their latent demand for mobile-based PAEs management using a self-designed questionnaire underpinned by the knowledge, attitude and practice model, as well as expert interviews. In phase 2, we will develop the app for integrated PAE management and test its effectiveness and sustainability. In phase 3, the effects on the total number and severity of reported PAEs will be evaluated using Poisson regression with interrupted time-series analysis over a 2-year period, while users' engagement, adherence, process evaluation and cost-effectiveness will be evaluated using quarterly surveys and interviews. ETHICS AND DISSEMINATION: The West China Hospital of Sichuan University's Institutional Review Board authorised this study after approving the study protocol, permission forms and questionnaires (number: 2022-1364). Participants will be provided with study information, and informed written consent will be obtained. Study findings will be disseminated through peer-reviewed publications and conference presentations.
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Li et al. (2023) studied Perioperative adverse events. Data-driven integrated management app for perioperative adverse events was evaluated on Total number and severity of reported perioperative adverse events. This protocol describes the development and planned 2-year interrupted time-series evaluation of a data-driven app for integrated management of perioperative adverse events.
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