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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BMJ Publishing Group
2023
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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. |
format | Online Article Text |
id | pubmed-10193061 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
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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