Study Design: Psychometric testing of a translated, culturally adapted questionnaire.

Objectives: Cross-cultural adaptation of a German version of the Oswestry Disability Index (ODI) and evaluation of its measurement properties.

Summary Of Background Data: The ODI, one of the most popular questionnaires for chronic low back pain (LBP), has been valid, reliable, and responsive. Recently, a Swiss version of the ODI has been published, but there is no validated version for Germany to date.

Methods: The translated and adapted German version of the ODI (ODI-G) was validated in inpatients with chronic LBP during 3 weeks' medical rehabilitation care. The ODI-G was completed at admission, 1 day later, and at discharge. Comparison with both a generic and chronic LBP-specific measure (the SF-36 and Hannover Functional Ability Questionnaire) assessed criterion validity.

Results: A very high level of test-retest-reliability was found (r = 0.91). Criterion validity showed high correlations between the ODI-G on 1 side, and the SF-36 and Hannover Functional Ability Questionnaire on the other. Standardized response means showed significant changes when health status improved (1.38) or deteriorated (1.35).

Conclusions: The ODI-G is valid, reliable, and responsive. It may be used to measure current state as well as changes in health status, and allows for cross-cultural comparisons. Further research comparing the 2 versions in German language seems to be necessary.

Download full-text PDF

Source
http://dx.doi.org/10.1097/01.brs.0000222054.89431.42DOI Listing

Publication Analysis

Top Keywords

german version
12
cross-cultural adaptation
8
adaptation german
8
version oswestry
8
oswestry disability
8
evaluation measurement
8
valid reliable
8
reliable responsive
8
version odi
8
sf-36 hannover
8

Similar Publications

Neurologic immune-related adverse events (nirAEs) represent rare, yet severe side effects associated with immune checkpoint inhibitor (ICI) therapy. Given the absence of established diagnostic biomarkers for nirAEs, we aimed to evaluate the diagnostic utility of serum Neurofilament Light Chain (NfL) and Glial Fibrillary Acidic Protein (GFAP). Fifty-three patients were included at three comprehensive cancer centers, of these 20 patients with manifest nirAEs and 11 patients with irHypophysitis.

View Article and Find Full Text PDF

Objective: Overweight and obesity are health issues that are increasing worldwide. Patients with severe mental illness are particularly vulnerable for various reasons, including the intake of weight gain-associated drugs. In this pilot study, we targeted eating behavior as a predictor for medication-induced weight gain and developed a module of a prevention program ("Eating More Consciously") to be evaluated by psychiatric inpatients.

View Article and Find Full Text PDF

Objectives: This study aimed to investigate the influence of feelings of guilt among cancer patients on their health behavior, with a specific focus on the use of complementary and alternative medicine (CAM).

Methods: A multicentric cross-sectional study was conducted, involving 162 oncological patients, assessing sociodemographic variables, feelings of guilt, patient activation, self-efficacy, and CAM usage. The Shame-Guilt-Scale was employed to measure guilt, with subscales including punitive guilt, self-criticism (actions), moral perfectionism, and empathy-reparation.

View Article and Find Full Text PDF

Chronic kidney disease (CKD) is a global health challenge that affects patients, caregivers, healthcare systems, the environment and national economies. Despite its far-reaching impact, there is no framework to systematically evaluate national CKD prevention and management programmes or evaluate the societal burden of disease. This paper has two objectives: first, to introduce a comprehensive framework to assess national programmes, which recognises gaps and weaknesses and identifies feasible policy interventions to reduce overall CKD burden; second, to present some key challenges and success stories in delivering CKD services delivered in eight different country settings.

View Article and Find Full Text PDF

Efficient optimisation of physical reservoir computers using only a delayed input.

Commun Eng

January 2025

Laboratoire d'Information Quantique CP224, Université libre de Bruxelles (ULB), Av. F. D. Roosevelt 50, 1050, Bruxelles, Belgium.

Reservoir computing is a machine learning algorithm for processing time dependent data which is well suited for experimental implementation. Tuning the hyperparameters of the reservoir is a time-consuming task that limits is applicability. Here we present an experimental validation of a recently proposed optimisation technique in which the reservoir receives both the input signal and a delayed version of the input signal.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!