Heather Dunn, Natany da Costa Ferreira Oberfrank, Anna Krupp
{"title":"Preimplementation of Critical Care Early Mobility Clinical Decision Support: A Content Validation Study.","authors":"Heather Dunn, Natany da Costa Ferreira Oberfrank, Anna Krupp","doi":"10.1097/CIN.0000000000001121","DOIUrl":null,"url":null,"abstract":"<p><p>Early mobility is a form of critical care rehabilitation ranging from in-bed exercise to ambulation and is known to limit post-intensive-care functional decline. Multiple barriers prevent widespread early mobility implementation. Clinical decision support systems can optimize the decision-making process and overcome barriers to care. However, critical care early mobility clinical decision support does not exist. Our objective was to develop and establish the content validation of the operational definitions for a novel critical care early mobility assessment instrument. Content validation was conducted in two steps: (1) development of operational definitions by the research team and (2) content validation with 10 nurse experts. Quality assessment and suitability of the operational definitions for 30 items, across four safety domains, were assessed using a 7 point-Likert scale. Item content validity index scores ranged from 0.6 to 0.1 after the first validation round. Domains containing items with item content validity index scores less than the lower limit of 0.78 were modified for clarity of language. Item content validity index scores ranged from 0.8 to 1.0, and the scale-level content validity index was 0.93 after the second content validation round. Excellent content validity of the operational definitions was achieved. This is the first methodological step in a larger project to develop clinical decision support for critical care early mobility.</p>","PeriodicalId":50694,"journal":{"name":"Cin-Computers Informatics Nursing","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cin-Computers Informatics Nursing","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/CIN.0000000000001121","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Early mobility is a form of critical care rehabilitation ranging from in-bed exercise to ambulation and is known to limit post-intensive-care functional decline. Multiple barriers prevent widespread early mobility implementation. Clinical decision support systems can optimize the decision-making process and overcome barriers to care. However, critical care early mobility clinical decision support does not exist. Our objective was to develop and establish the content validation of the operational definitions for a novel critical care early mobility assessment instrument. Content validation was conducted in two steps: (1) development of operational definitions by the research team and (2) content validation with 10 nurse experts. Quality assessment and suitability of the operational definitions for 30 items, across four safety domains, were assessed using a 7 point-Likert scale. Item content validity index scores ranged from 0.6 to 0.1 after the first validation round. Domains containing items with item content validity index scores less than the lower limit of 0.78 were modified for clarity of language. Item content validity index scores ranged from 0.8 to 1.0, and the scale-level content validity index was 0.93 after the second content validation round. Excellent content validity of the operational definitions was achieved. This is the first methodological step in a larger project to develop clinical decision support for critical care early mobility.
期刊介绍:
For over 30 years, CIN: Computers, Informatics, Nursing has been at the interface of the science of information and the art of nursing, publishing articles on the latest developments in nursing informatics, research, education and administrative of health information technology. CIN connects you with colleagues as they share knowledge on implementation of electronic health records systems, design decision-support systems, incorporate evidence-based healthcare in practice, explore point-of-care computing in practice and education, and conceptually integrate nursing languages and standard data sets. Continuing education contact hours are available in every issue.