Formative evaluation of the development and implementation of the automated surveillance of postoperative infections tool.
Formative evaluation of the development and implementation of the automated surveillance of postoperative infections tool.
复制标题
术后感染自动监测工具的开发和实施的形成性评估。
DOI：
10.1016/j.surg.2023.06.023
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发表时间：
2023
期刊：
影响因子：
3.8
通讯作者：
Meguid,RobertA
中科院分区：
文献类型：
--
作者：
Myers,QuintinWO;Lambert-Kerzner,Anne;Colborn,KathrynL;Dyas,AdamR;Henderson,WilliamG;Meguid,RobertA
BackgroundThe gold standard for detecting postoperative complications uses databases like the American College of Surgeons National Surgical Quality Improvement Program, a multi-centered database based on manual chart review. However, their limitations and costs have led many centers to discontinue participation. Novel techniques to detect postoperative complications must be developed and implemented with surgeon involvement, which is paramount to their adoption. We sought to assess surgeons’ opinions of a newly developed postoperative complication detection tool, the Automated Surveillance of Postoperative Infections, within the contextual clinical environment.MethodsThis was a multi-site qualitative formative evaluation of surgeon perceptions of the Automated Surveillance of Postoperative Infections. We conducted semi-structured interviews and focus groups with surgeons and presented the Automated Surveillance of Postoperative Infections concept. Important domains and constructs, as categorized by Consolidated Framework for Implementation Research, were identified to support the successful adoption and implementation of the Automated Surveillance of Postoperative Infections.ResultsTwenty-four surgeons with 10 surgical subspecialties were interviewed. The following 4 main themes were found: (1) perception of the Automated Surveillance of Postoperative Infections tool—to provide important data that can improve and support clinical outcomes; (2) environment for implementation—description of factors to support or impede implementation; (3) adaptability of the Automated Surveillance of Postoperative Infections—to work with the complexity of surgical cases; and (4) the Automated Surveillance of Postoperative Infections report format and details.ConclusionsWe successfully captured the perspectives and suggestions of surgeons to improve the Automated Surveillance of Postoperative Infections and potential barriers during the initial development phase. Barriers included fear of punitive action from reports and complex surgical cases. Facilitators identified were the need to improve clinical outcomes and organizational support. The results of this formative evaluation will be used to further develop Automated Surveillance of Postoperative Infections, starting with a prototype, the Automated Surveillance of Postoperative Infections 1.0.
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影响因子：
3.8
作者：
Colborn, Kathryn L.;Zhuang, Yaxu;Meguid, Robert A.
通讯作者：
Meguid, Robert A.
临床护理干预研究与实施实施研究；
DOI：
--
发表时间：
2021
期刊：
影响因子：
--
作者：
Gordish-Dressman H;Willmann R;Dalle Pazze L;Kreibich A;van Putten M;Heydemann A;Bogdanik L;Lutz C;Davies K;Demonbreun AR;Duan D;Elsey D;Fukada SI;et al;深田 宗一朗;大久保暢子
通讯作者：
大久保暢子
DOI：
10.1186/s13012-016-0437-z
发表时间：
2016-05-17
期刊：
Implementation science : IS
影响因子：
--
作者：
Kirk MA;Kelley C;Yankey N;Birken SA;Abadie B;Damschroder L
通讯作者：
Damschroder L
影响因子：
120.7
作者：
Etzioni, David A.;Wasif, Nabil;Habermann, Elizabeth B.
通讯作者：
Habermann, Elizabeth B.
DOI：
10.1136/bmj.i6795
发表时间：
2017-03-06
期刊：
BMJ (Clinical research ed.)
影响因子：
--
作者：
Pinnock H;Barwick M;Carpenter CR;Eldridge S;Grandes G;Griffiths CJ;Rycroft-Malone J;Meissner P;Murray E;Patel A;Sheikh A;Taylor SJ;StaRI Group
通讯作者：
StaRI Group