ArticleMusculoskeletal care2022
Use, and acceptability, of digital health technologies in musculoskeletal physical therapy: A survey of physical therapists and patients.
Article in Musculoskeletal care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Evaluation of Patient-Facing Mobile Apps to Support Physiotherapy Care: Systematic Review.JMIR mHealth and uHealth · 2024Pooled it
- Barriers and facilitators to the implementation of virtual reality as a pain management intervention in outpatient physiotherapy practices: a qualitative analysis.BMC health services research · 2026Article
- Physiotherapists' perception of barriers and facilitators to the implementation of digital health interventions: a scoping review.BMC health services research · 2026Article
- Digital Health Technology Use Among Rehabilitation Professionals in China: Multi-Province Cross-Sectional Survey.Journal of medical Internet research · 2026Article
- Electronic health record use in physiotherapy: adoption, perceived relevance and utilisation patterns-a cross-sectional study.BMJ health & care informatics · 2026Observational
- Home-Based mHealth Platform (Active-Feet) for Children With Idiopathic Toe Walking: Design, Development, and Acceptability Study.JMIR rehabilitation and assistive technologies · 2025Article
- Acceptance of Innovative Technologies Among Healthcare Professionals-A Cross-Sectional Study.Nursing & health sciences · 2025Article
- Digital Readiness Among 3555 Individuals With Hip or Knee Osteoarthritis Initiating a Supervised Education and Exercise Therapy Programme: A Cross-Sectional Study.Musculoskeletal care · 2025Article
- Usage of Virtual Reality Technology in Physiotherapy in Germany: Results from a Survey.Bioengineering (Basel, Switzerland) · 2025Article
- Self-Efficacy, Self-Management and Use of Smartphone Apps for Low-Back Pain.Pain research & management · 2025Article
- Rehabilitation clinicians' use of mainstream wireless technologies in practice: a scoping review.Disability and rehabilitation. Assistive technology · 2024Article
- Application of digital technology in rehabilitation of total knee arthroplasty: A systematic review.Journal of orthopaedics · 2024Review
- Revolutionizing Care: Unleashing the Potential of Digital Health Technology in Physiotherapy Management for People With Cystic Fibrosis.JMIR rehabilitation and assistive technologies · 2024Article
- Perception of People Diagnosed With Fibromyalgia About Information and Communication Technologies for Chronic Pain Management: Cross-Sectional Survey Study.JMIR formative research · 2024Article
- Shaping the future: an Italian survey unveils the unmet need to empower physical medicine and rehabilitation professionals with technological skills.European journal of physical and rehabilitation medicine · 2024Article
- The Role and Importance of Using Sensor-Based Devices in Medical Rehabilitation: A Literature Review on the New Therapeutic Approaches.Sensors (Basel, Switzerland) · 2023Review
- Use, and acceptability, of digital health technologies in musculoskeletal physical therapy: A survey of physical therapists and patients.Musculoskeletal care · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesDetermine (a) frequency of digital health use to obtain/record clinical information (pre-COVID-19); (b) willingness to use digital technologies among physical therapists and patients with musculoskeletal conditions.
methods102 physical therapists, and 103 patients were recruited in Australia. An electronic survey ascertained (a) demographic/clinical characteristics, (b) frequency of methods to obtain and record clinical information; (c) willingness to use digital technologies to support musculoskeletal care.
resultsPhysical therapists mostly used non-digital methods to obtain subjective (e.g., face-to-face questioning, n = 98; 96.1%) and objective information (e.g., visual estimation, n = 95; 93.1%). The top three digital health technologies most frequently used by therapists: photo-based image capture (n = 19; 18.6%), accessing information logged/tracked by patients into a mobile app (n = 14; 13.7%), and electronic systems to capture subjective information that the patient fills in (n = 13; 12.7%). The top three technologies used by patients: activity trackers (n = 27; 26.2%), logging/tracking health information on mobile apps or websites (n = 12; 11.7%), and entering information on a computer (n = 12; 7.8%). Physical therapists were most willing to use technologies for: receiving diagnostic imaging results (n = 99; 97.1%), scheduling appointments (n = 92; 90.2%) and capturing diagnostic results (n = 92; 90.2%). Patients were most willing to use technologies for receiving notifications about health test results (n = 91; 88.4%), looking up health information (n = 83; 80.6%) and receiving personalised alerts/reminders (n = 80; 77.7%).
conclusionsPhysical therapists and patients infrequently use digital health technologies to support musculoskeletal care, but expressed some willingness to consider using them for select functions.
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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.