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  • 1. Berg, Katarina
    et al.
    Idvall, Ewa
    Nilsson, Ulrica
    Årestedt, Kristofer
    Linnaeus University, Faculty of Health, Social Work and Behavioural Sciences, School of Health and Caring Sciences. Linköpings universitet.
    Unosson, Mitra
    Psychometric evaluation of the post-discharge surgical recovery scale.2010In: Journal of Evaluation In Clinical Practice, ISSN 1356-1294, E-ISSN 1365-2753, Vol. 16, no 4, p. 794-801Article in journal (Refereed)
    Abstract [en]

    UNLABELLED: RATIONALE, 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.

  • 2.
    Bondesson, Åsa
    et al.
    Lunds Universitet.
    Hellström, Lina
    Linnaeus University, Faculty of Science and Engineering, School of Natural Sciences.
    Eriksson, Tommy
    Lunds Universitet.
    Höglund, Peter
    Lunds Universitet.
    A structured questionnaire to assess patient compliance and beliefs about medicines taking into account the ordered categorical structure of data2009In: Journal of Evaluation In Clinical Practice, ISSN 1356-1294, E-ISSN 1365-2753, Vol. 15, no 4, p. 713-723Article in journal (Refereed)
    Abstract [en]

    RATIONALE, AIMS AND OBJECTIVE: The objectives were to describe and evaluate the structured medication questionnaire and to improve data handling of results from the Morisky four-item scale for patient compliance and Beliefs about Medicines Questionnaire-specific (BMQ-specific). METHODS: A questionnaire was developed with the purpose of being used when identifying medication errors and assessing patient compliance to and beliefs about medicines. RESULTS: A majority of the respondents (62%; CI 45-77%) had at least one medication error. Assuming that all items are equally important in the Morisky four-item scale we presented four alternative ways to create a unidimensional global scale. A two-dimensional global scale was also constructed. The results from the BMQ-specific were presented in different ways, all taking into account that the scale has ordered verbal categories: at the level addressing each specific question, at the sub-scales 'concern' and 'necessity' level and at the global level. CONCLUSIONS: The structured medication questionnaire can be used in daily practice as a tool to identify drug-related problems. The choice of how to use and present data from those scales in research depends on patient characteristics and how discriminating one would like the scales to be.

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