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Development and evaluation of a data-driven integrated management app for perioperative adverse events: protocol for a mixed-design study

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 ca...

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Autores principales: Li, Peiyi, Wang, Ce, Zhou, Ruihao, Tan, Lingcan, Deng, Xiaoqian, Zhu, Tao, Chen, Guo, Li, Weimin, Hao, Xuechao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193061/
https://www.ncbi.nlm.nih.gov/pubmed/37192808
http://dx.doi.org/10.1136/bmjopen-2022-069754
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author Li, Peiyi
Wang, Ce
Zhou, Ruihao
Tan, Lingcan
Deng, Xiaoqian
Zhu, Tao
Chen, Guo
Li, Weimin
Hao, Xuechao
author_facet Li, Peiyi
Wang, Ce
Zhou, Ruihao
Tan, Lingcan
Deng, Xiaoqian
Zhu, Tao
Chen, Guo
Li, Weimin
Hao, Xuechao
author_sort Li, Peiyi
collection PubMed
description 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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spelling pubmed-101930612023-05-19 Development and evaluation of a data-driven integrated management app for perioperative adverse events: protocol for a mixed-design study Li, Peiyi Wang, Ce Zhou, Ruihao Tan, Lingcan Deng, Xiaoqian Zhu, Tao Chen, Guo Li, Weimin Hao, Xuechao BMJ Open Medical Management 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. BMJ Publishing Group 2023-05-16 /pmc/articles/PMC10193061/ /pubmed/37192808 http://dx.doi.org/10.1136/bmjopen-2022-069754 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Medical Management
Li, Peiyi
Wang, Ce
Zhou, Ruihao
Tan, Lingcan
Deng, Xiaoqian
Zhu, Tao
Chen, Guo
Li, Weimin
Hao, Xuechao
Development and evaluation of a data-driven integrated management app for perioperative adverse events: protocol for a mixed-design study
title Development and evaluation of a data-driven integrated management app for perioperative adverse events: protocol for a mixed-design study
title_full Development and evaluation of a data-driven integrated management app for perioperative adverse events: protocol for a mixed-design study
title_fullStr Development and evaluation of a data-driven integrated management app for perioperative adverse events: protocol for a mixed-design study
title_full_unstemmed Development and evaluation of a data-driven integrated management app for perioperative adverse events: protocol for a mixed-design study
title_short Development and evaluation of a data-driven integrated management app for perioperative adverse events: protocol for a mixed-design study
title_sort development and evaluation of a data-driven integrated management app for perioperative adverse events: protocol for a mixed-design study
topic Medical Management
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193061/
https://www.ncbi.nlm.nih.gov/pubmed/37192808
http://dx.doi.org/10.1136/bmjopen-2022-069754
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