ArticleArchives of physiotherapy2022
Applying patient-reported outcome measures (PROMs) in physiotherapy: an evaluation based on the QUALITOUCH Activity Index.
Article in Archives of physiotherapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- Patient-reported outcomes as markers and predictors of functional recovery in musculoskeletal rehabilitation.Rheumatology international · 2026Review
- Kannada Translation and Validation of Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) in Knee Osteoarthritis: Kannada Version of the WOMAC (K-WOMAC).Indian journal of orthopaedics · 2025Article
- Voices that matter: The impact of patient-reported outcome measures on clinical decision-making.World journal of methodology · 2025Review
- Same but Different? Exploring the Role of Patient-Reported Outcome Measures and Clinician-Reported Outcome Measures in Postoperative Knee and Hip Arthroplasty Rehabilitation.Journal of clinical medicine · 2025Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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