Evidence map›Paper›PMID 33704076›Full record

ArticleJMIR rehabilitation and assistive technologies2021

Adherence Patterns and Dose Response of Physiotherapy for Rotator Cuff Pathology: Longitudinal Cohort Study.

David Burns, Philip Boyer, Helen Razmjou, Robin Richards, Cari Whyne

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06026137 (Use of the Efisiotrack System for Monitoring Prescribed Therapeutic Exercises in Patients With Shoulder Orthopedic Injuries in a Hospital Setting), which is not on this map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06026137 naunknown statusnot on this mapstarted 2023, after this paper: background citation

Use of the Efisiotrack System for Monitoring Prescribed Therapeutic Exercises in Patients With Shoulder Orthopedic Injuries in a Hospital Setting: a Pilot Feasibility Study

TypeinterventionalSponsorUniversidad Miguel Hernandez de ElcheRan2023 to 2023Enrolled10ConditionsShoulder InjuriesArmseFisioTrack Group, Excercises Group
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
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  9. Quantifying At-Home Physiotherapy Participation: SPARS vs Self-Reported Diaries.Archives of rehabilitation research and clinical translation · 2025
    Article
  10. Machine-learning models for shoulder rehabilitation exercises classification using a wearable system.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

David BurnsSunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-1617-596X
Philip BoyerSunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-9768-8037
Helen RazmjouSunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-3162-4241
Robin RichardsDivision of Orthopaedic Surgery, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0001-6561-5258
Cari WhyneSunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-6822-8314
Sunnybrook Health Science Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysiotherapy is considered to be essential for the successful operative and nonoperative management of rotator cuff pathology; however, the extent to which patients adhere to assigned physiotherapy activities and how this impacts recovery is unknown.

objectiveThe purpose of this study was to measure the rate and patterns of participation in physiotherapy for rotator cuff disorders, assess the dose response between physiotherapy activity and recovery, and explore patient factors predictive of physiotherapy participation.

methodsWe report a prospective longitudinal study of 42 patients undergoing physiotherapy for symptomatic rotator cuff pathology. The patients were issued a smartwatch that recorded inertial sensor data while they performed physiotherapy exercises both in the clinic and in the home setting. A machine learning approach was used to assess total physiotherapy participation from smartwatch inertial data. Primary outcomes were the Disabilities of the Arm Shoulder and Hand and numeric pain rating scale assessed every 4 weeks until 12 weeks follow-up. The relationships between participation, outcomes, and clinical patient variables were assessed in univariable analyses.

resultsMean physiotherapy exercise participation in clinic and at home were 11 minutes per week and 33 minutes per week, respectively, with patients participating in physiotherapy on 41% of days assigned to treatment. Home physiotherapy participation decreased significantly over time (P=.03). There was a statistically significant and clinically meaningful relationship between cumulative physiotherapy participation and recovery demonstrated by pain scores at 8 weeks (P=.02) and 12 weeks (P=.05) and disability scores at 8 weeks (P=.04) and 12 weeks (P=.04). Low patient expectations and self-efficacy were associated with low rates of physiotherapy participation.

conclusionsThere was a low rate of participation in home shoulder physiotherapy exercise, and a statistically and clinically significant dose response of physiotherapy on treatment outcome in patients with rotator cuff pathology. The findings highlight the opportunity to develop novel methods and strategies to improve the participation in and efficacy of physiotherapy exercises for rotator cuff disorders. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/17841.

Indexed as

machine learningrehabilitationrotator cufftreatment adherence and compliancewearable electronic devices

Identifiers

PMID33704076
PMCPMC8082948
OpenAlexW3135586418

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.