A1 Refereed original research article in a scientific journal

Development and psychometric properties of the Individualized Care Scale




AuthorsSuhonen R, Leino-Kilpi H, Valimaki M

PublisherBLACKWELL PUBLISHING LTD

Publication year2005

JournalJournal of Evaluation in Clinical Practice

Journal name in sourceJOURNAL OF EVALUATION IN CLINICAL PRACTICE

Journal acronymJ EVAL CLIN PRACT

Volume11

Issue1

First page 7

Last page20

Number of pages14

ISSN1356-1294

DOIhttps://doi.org/10.1111/j.1365-2753.2003.00481.x(external)


Abstract
Routine, aims and objectives In this study we describe the development of the Individualized Care Scale (ICS) and evaluate its validity, psychometric properties and feasibility. The ICS was designed to measure patients' views on how individuality is supported through specific nursing interventions (ICA) and how they perceive individuality in their own care (ICB) during hospitalization. Method Three different data sets were collected among patients being discharged from hospital (n(1) = 203, n(2) = 279, n(3) = 454). This bipartite 38-item ICS promises to be a brief, timely, easy to administer and useful self-completion measure for evaluating clinical nursing practice from the patient's point of view. Results The findings supported the internal consistency reliability of the ICS (alpha 0.94 for ICA and ICB 0.93) and the three subscales (alphas 0.85-0.90). Item analysis supported the item construction of each scale. Content validity was furthered by a critical literature review and four expert analyses. Principal component analysis (Promax with Kaiser normalization) among earlier factor analyses supported construct validity by generating a three-factor solution which accounted for 65% of the variance in the ICA and 61% in the ICB. Pearson's correlation coefficients were at least 0.88 between the subscales and the total domain ICA or ICB. Conclusions The ICS has demonstrated promise as a tool for measuring patients' evaluations of their hospital experience and individuality in care.


Research Areas



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