Psychometric evaluation of the Post-discharge Surgical Recovery Scale

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Psychometric evaluation of the Post-discharge Surgical Recovery Scale

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Publication Article, peer reviewed scientific
Title Psychometric evaluation of the Post-discharge Surgical Recovery Scale
Author(s) Berg, Katarina ; Idvall, Ewa ; Nilsson, Ulrica ; Franzen Årestedt, Kristofer ; Unosson, Mitra
Date 2010
English abstract
AIM AND OBJECTIVES: Day surgery patients are discharged after a short period of postoperative surveillance, and reliable and valid instruments for assessment at home are needed. The aim of this study was to evaluate the psychometric properties of a Swedish version of the post-discharge surgical recovery (PSR) scale, an instrument to monitor the patient's recovery after day surgery, in terms of data quality, internal consistency, dimensionality and responsiveness. METHODS: Data were collected on postoperative days 1 and 14 and included 525 patients. Data quality and internal consistency were evaluated using descriptive statistics, correlation analyses and Cronbach's alpha. The dimensionality of the scale was determined through an exploratory factor analysis. Responsiveness was evaluated using the standardized response mean and the area under the receiver operating characteristics curve (AUC). The correlation between change score in PSR and change score in self-rated health was assessed using Pearson's correlation coefficient. Patients' ability to work and their self-rated health on postoperative day 14 were used as external indicators of change. RESULTS: Six items showed floor or ceiling effects. Cronbach's coefficient alpha was 0.90 and the average inter-item correlation coefficient was 0.44 after the deletion of two items. The items were closely related to each other, and a one-factor solution was decided on. A robust ability to detect changes in recovery (standardized response mean = 1.14) was shown. The AUC for the entire scale was 0.60. When initial PSR scores were categorized into three intervals, the ability to detect improved and non-improved patients varied (AUC 0.58-0.81). There was a strong correlation between change scores in PSR and health (0.63). CONCLUSIONS: The Swedish version of the PSR scale demonstrates acceptable psychometric properties of data quality, internal consistency, dimensionality and responsiveness. In addition to previous findings, these results strengthen the PSR scale as a potential instrument of recovery at home.
DOI http://dx.doi.org/10.1111/j.1365-2753.2009.01197.x (link to publisher's fulltext)
Host/Issue Journal of Evaluation in Clinical Practice;4
Volume 16
ISSN 1356-1294
Pages 794-801
Language eng (iso)
Subject(s) Medicine
Research Subject Categories::MEDICINE
Handle http://hdl.handle.net/2043/10491 (link to this page)

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