Browse by author
Lookup NU author(s): Dr Stephen Wright,
Professor Elaine McCollORCiD
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2016 Elsevier Inc. Purpose To establish the psychometric properties of the Family Satisfaction in the Intensive Care Unit 24-item (FS-ICU-24) questionnaire in the United Kingdom. Materials and methods The Family-Reported Experiences Evaluation study recruited family members of patients staying at least 24 hours in 20 participating intensive care units. Questionnaires were evaluated for nonresponse, floor/ceiling effects, redundancy, and construct validity. Internal consistency was evaluated with item-to-own scale correlations and Cronbach α. Confirmatory and exploratory factor analyses were used to explore the underlying structure. Results Twelve thousand three hundred forty-six family members of 6380 patients were recruited and 7173 (58%) family members of 4615 patients returned a completed questionnaire. One family member per patient was included in the psychometric assessment. Six items had greater than 10% nonresponse; 1 item had a ceiling effect; and 11 items had potential redundancy. Internal consistency was high (Cronbach α, overall.96; satisfaction with care,.94; satisfaction with decision making,.93). The 2-factor solution was not a good fit. Exploratory factor analysis indicated that satisfaction with decision making encompassed 2 constructs—satisfaction with information and satisfaction with the decision-making process. Conclusions The Family Satisfaction in the Intensive Care Unit 24-item questionnaire demonstrated good psychometric properties in the United Kingdom setting. Construct validity could be improved by use of 3 domains and some scope for further improvement was identified.
Author(s): Harrison DA, Ferrando-Vivas P, Wright SE, McColl E, Heyland DK, Rowan KM
Publication type: Article
Publication status: Published
Journal: Journal of Critical Care
Print publication date: 01/04/2017
Online publication date: 05/11/2016
Acceptance date: 02/04/2016
ISSN (print): 0883-9441
ISSN (electronic): 1557-8615
Publisher: W.B. Saunders
Altmetrics provided by Altmetric