The Italian Family Satisfaction in the Intensive Care Unit Questionnaire: A Psychometric Evaluation Using the Rasch Model.

Rasch analysis family satisfaction intensive care unit psychometrics quality improvement

Journal

Healthcare (Basel, Switzerland)
ISSN: 2227-9032
Titre abrégé: Healthcare (Basel)
Pays: Switzerland
ID NLM: 101666525

Informations de publication

Date de publication:
11 Jul 2023
Historique:
received: 03 06 2023
revised: 04 07 2023
accepted: 10 07 2023
medline: 29 7 2023
pubmed: 29 7 2023
entrez: 29 7 2023
Statut: epublish

Résumé

Quality measurement of the intensive care unit (ICU) should include families' perspectives, their satisfaction with the care process and outcomes, and the evaluation of actions to improve their psychological health and wellbeing. The current study was designed to validate the Italian version of the Family Satisfaction in the Intensive Care Unit (FS-ICU) using the Rasch model. Results included reliability and separation for items and persons, item fit statistics, unidimensionality, and item characteristic curve. The study was conducted between August 2022 and February 2023. A total of 108 family members (mean age 54.9 years) completed the FS-ICU questionnaire. The instrument had a moderate discrimination ability and only five items (#21, #23, #10, #22, and #24) exhibited a misfit. The Rasch dimension explained 52.1% of the variance in the data, while the unexplained variance in the first contrast is 7.2%, which indicates a possible second dimension. FS-ICU was shown to be beneficial as an assessment instrument for family member satisfaction in the ICU, despite some flaws that need to further be addressed to improve the scale.

Identifiants

pubmed: 37510438
pii: healthcare11141997
doi: 10.3390/healthcare11141997
pmc: PMC10379138
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Matteo Danielis (M)

Laboratory of Studies and Evidence Based Nursing, Department of Medicine, University of Padua, 35131 Padua, Italy.
Department of Anaesthesia and Intensive Care, Academic Hospital of Udine, 33100 Udine, Italy.

Renzo Zanotti (R)

Laboratory of Studies and Evidence Based Nursing, Department of Medicine, University of Padua, 35131 Padua, Italy.

Marika Rosset (M)

Department of Anaesthesia and Intensive Care, Academic Hospital of Udine, 33100 Udine, Italy.

Serena Giorgino (S)

Department of Anaesthesia and Intensive Care, Academic Hospital of Udine, 33100 Udine, Italy.

Sara Gentilini (S)

Department of Anaesthesia and Intensive Care, Academic Hospital of Udine, 33100 Udine, Italy.

Dina Molaro (D)

Department of Anaesthesia and Intensive Care, Academic Hospital of Udine, 33100 Udine, Italy.

Anna Qualizza (A)

Department of Anaesthesia and Intensive Care, Academic Hospital of Udine, 33100 Udine, Italy.

Alessandro Garau (A)

Department of Anaesthesia and Intensive Care, Academic Hospital of Udine, 33100 Udine, Italy.

Classifications MeSH