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Measuring care transitions in Sweden: validation of the care transitions measure
Karolinska Institutet.
Karolinska University Hospital.
Oslo and Akershus University College of Applied Sciences; Norway.
Ersta Sköndal Bräcke University College.
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2018 (English)In: International Journal for Quality in Health Care, ISSN 1353-4505, E-ISSN 1464-3677, Vol. 30, no 4, p. 291-297Article in journal (Refereed) Published
Abstract [en]

Objective: To translate and assess the validity and reliability of the original American Care Transitions Measure, both the 15-item and the shortened 3-item versions, in a sample of people in transition from hospital to home within Sweden.

Design: Translation of survey items, evaluation of psychometric properties.

Setting: Ten surgical and medical wards at five hospitals in Sweden.

Participants: Patients discharged from surgical and medical wards.

Main outcome measure: Psychometric properties of the Swedish versions of the 15-item (CTM-15) and the 3-item (CTM-3) Care Transition Measure.

Results: We compared the fit of nine models among a sample of 194 Swedish patients. Cronbach's alpha was 0.946 for CTM-15 and 0.74 for CTM-3. The model indices for CTM-15 and CTM-3 were strongly indicative of inferior goodness-of-fit between the hypothesized one-factor model and the sample data. A multidimensional three-factor model revealed a better fit compared with CTM-15 and CTM-3 one factor models. The one-factor solution, representing 4 items (CTM-4), showed an acceptable fit of the data, and was far superior to the one-factor CTM-15 and CTM-3 and the three-factor multidimensional models. The Cronbach's alpha for CTM-4 was 0.85.

Conclusions: CTM-15 with multidimensional three-factor model was a better model than both CTM-15 and CTM-3 one-factor models. CTM-4 is a valid and reliable measure of care transfer among patients in medical and surgical wards in Sweden. It seems the Swedish CTM is best represented by the short Swedish version (CTM-4) unidimensional construct.

Place, publisher, year, edition, pages
2018. Vol. 30, no 4, p. 291-297
Keywords [en]
care transitions measure, patient discharge, patient transfer, psychometrics
National Category
Other Medical Sciences Other Medical Sciences not elsewhere specified
Research subject
Health and Caring Sciences, Caring Science; Health and Caring Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-75583DOI: 10.1093/intqhc/mzy001PubMedID: 29432554OAI: oai:DiVA.org:lnu-75583DiVA, id: diva2:1232221
Funder
Forte, Swedish Research Council for Health, Working Life and Welfare, 2013-2200Available from: 2018-07-11 Created: 2018-07-11 Last updated: 2018-07-12Bibliographically approved

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CiteExportLink to record
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