OBJECTIVES: Many of the various types of treatments that are used in the rehabilitation of patients with musculoskeletal disorders (MSD) require active involvement of the patient. Patient expectations, for instance with regard to treatment, such as physical therapy, could be important prognostic factors. Behavioral interventions to modify those expectations might improve treatment outcome and prevent chronicity. To facilitate this field of research, valid and reliable measurement instruments to assess patient expectations are needed. The aim of this systematic overview was to identify all the relevant published measurement instruments and to describe their clinimetric properties. METHODS: A systematic search of the relevant databases was performed, and all relevant articles were included. Two independent reviewers included the relevant articles and assessed the clinimetric properties. RESULTS: A total of 24 measurement instruments were eligible for inclusion in the review. For most types of MSD, there was only one instrument available. Construct validity, assessed with factor analysis, was tested in two-thirds of the instruments. Other forms of construct validity (eg, convergent validity and divergent validity) were only tested in 10 of the 24 instruments. Reproducibility was only tested in 5 instruments, but the test methods were seldom satisfactory, hampering the interpretation of these results. DISCUSSION: In summary, many instruments have been developed for the treatment of many types of MSD, but the data regarding the validity or reliability of many of the instruments included in this review are scarce. Therefore, in the first place, we strongly recommend that further research is to be carried out to assess the validity and reliability of these instruments. Secondly, it is necessary to assess the instrument's ability to detect change to be able to evaluate the effectiveness of interventions that focus on self-efficacy and outcome expectations.
OBJECTIVES: Many of the various types of treatments that are used in the rehabilitation of patients with musculoskeletal disorders (MSD) require active involvement of the patient. Patient expectations, for instance with regard to treatment, such as physical therapy, could be important prognostic factors. Behavioral interventions to modify those expectations might improve treatment outcome and prevent chronicity. To facilitate this field of research, valid and reliable measurement instruments to assess patient expectations are needed. The aim of this systematic overview was to identify all the relevant published measurement instruments and to describe their clinimetric properties. METHODS: A systematic search of the relevant databases was performed, and all relevant articles were included. Two independent reviewers included the relevant articles and assessed the clinimetric properties. RESULTS: A total of 24 measurement instruments were eligible for inclusion in the review. For most types of MSD, there was only one instrument available. Construct validity, assessed with factor analysis, was tested in two-thirds of the instruments. Other forms of construct validity (eg, convergent validity and divergent validity) were only tested in 10 of the 24 instruments. Reproducibility was only tested in 5 instruments, but the test methods were seldom satisfactory, hampering the interpretation of these results. DISCUSSION: In summary, many instruments have been developed for the treatment of many types of MSD, but the data regarding the validity or reliability of many of the instruments included in this review are scarce. Therefore, in the first place, we strongly recommend that further research is to be carried out to assess the validity and reliability of these instruments. Secondly, it is necessary to assess the instrument's ability to detect change to be able to evaluate the effectiveness of interventions that focus on self-efficacy and outcome expectations.
Authors: Andrea L Pusic; Anne F Klassen; Laura Snell; Stefan J Cano; Colleen McCarthy; Amie Scott; Yeliz Cemal; Lisa R Rubin; Peter G Cordeiro Journal: Expert Rev Pharmacoecon Outcomes Res Date: 2012-04 Impact factor: 2.217
Authors: Darija Hofmann; Fowzia Ibrahim; Diana Rose; David L Scott; Andrew Cope; Til Wykes; Heidi Lempp Journal: Health Expect Date: 2013-04-25 Impact factor: 3.377
Authors: Charlotte J Auer; Julia A Glombiewski; Bettina K Doering; Alexander Winkler; Johannes A C Laferton; Elizabeth Broadbent; Winfried Rief Journal: Int J Behav Med Date: 2016-02
Authors: T M Haanstra; L Hanson; R Evans; F A van Nes; H C W De Vet; P Cuijpers; R W J G Ostelo Journal: Eur Spine J Date: 2013-05-10 Impact factor: 3.134
Authors: Tsjitske M Haanstra; Tobias van den Berg; Raymond W Ostelo; Rudolf W Poolman; Elise P Jansma; Ilse P Jansma; Pim Cuijpers; Henrica Cw de Vet Journal: Health Qual Life Outcomes Date: 2012-12-18 Impact factor: 3.186