Applying patient-reported outcome measures (PROMs) in physiotherapy: an evaluation based on the QUALITOUCH Activity Index

Archives of Physiotherapy

Research Article

Kai-Uwe Schmitt¹  Mias Zaugg²  Heiner Baur³ 

[1] Dept. of Health Professions, Bern University of Applied Sciences (BFH), Academic-Practice-Partnership Between Insel Gruppe and BFH, Murtenstr. 10, 3008, Bern, Switzerland;Dept. of Health Professions, Bern University of Applied Sciences (BFH), Academic-Practice-Partnership Between Insel Gruppe and BFH, Murtenstr. 10, 3008, Bern, Switzerland;Dept. Health Sciences and Technology, Institute for Human Movement Science and Sport, ETH Zurich, Rämistr. 101, 8001, Zurich, Switzerland;Dept. of Health Professions, Physiotherapy Research, Bern University of Applied Sciences (BFH), Murtenstr. 10, 3008, Bern, Switzerland;

关键词: Patient-Reported Outcome Measures;    Physical Therapy;    Quality Control;    QUALITOUCH;    Activity Index;    Musculoskeletal Diseases;    Biostatistics;   

DOI  :  10.1186/s40945-022-00152-3

 received in 2021-11-10, accepted in 2022-09-04,  发布年份 2022

来源: Springer

【 摘 要 】

BackgroundPatient-reported outcome measures (PROMs) are tools to screen a population, to monitor the subjective progress of a therapy, to enable patient-centred care and to evaluate the quality of care. The QUALITOUCH Activity Index (AI) is such a tool, used in physiotherapy. This study aimed to provide reference values for expected AI outcomes.MethodsA large data set uniting clinical routine data and AI outcomes was generated; it consisted of data of 11,948 patients. For four defined diagnoses, i.e. chronic lower back pain, tibia posterior syndrome, knee joint osteoarthritis and shoulder impingement, the AI responses related to the dimensions “maximum pain level” and “household activity” were analyzed. Reference corridors for expected AI outcomes were derived as linear trend lines representing the mean, 1st and 3rd quartile.ResultsReference corridors for expected AI outcomes are provided. For chronic lower back pain, for example, the corridor indicates that the initial average AI value related to maximum pain of 49.3 ± 23.8 points on a visual analogue scale (VAS multiplied by factor 10) should be improved by a therapeutic intervention to 36.9 ± 23.8 points on a first follow-up after four weeks.ConclusionsFor four exemplary diagnoses and two dimensions of the AI, one related to pain and one related to limitations in daily activities, reference corridors of expected therapeutic progress were established. These reference corridors can be used to compare an individual performance of a patient with the expected progress derived from a large data sample. Data-based monitoring of therapeutic success can assist in different aspects of planning and managing a therapy.

【 授权许可】

CC BY   
© The Author(s) 2022

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