Literature DB >> 30275650

Physiotherapists' and Physiotherapy Students' Perspectives on the Use of Mobile or Wearable Technology in Their Practice.

Jenna Blumenthal1, Andrea Wilkinson1, Mark Chignell1.   

Abstract

Purpose: Although extensive research has been carried out on the determinants of mobile or wearable health care technology (mHealth), as well as on its acceptance by patients and other health care providers, very little research has been done on physiotherapists' perspectives on the use of mHealth in their current or future practice. The aims of this study were to (1) explore the attitudes of physiotherapists toward mHealth using a modified technology acceptance model questionnaire, (2) understand the applications and delivery paradigms that are most desirable, and (3) assess the content validity of the questionnaire. Method: The questionnaire was administered online. Participants (n=76) were recruited using snowball and convenience sampling. Data were analyzed using factor analysis and partial least-squares path modelling.
Results: Results indicate that perceived usefulness and perceived ease of use were related to early adoptive behaviour among participants. We found no evidence that age, gender, experience, or practice setting influenced early adoptive behaviour. Participants demonstrated favourable attitudes toward mHealth tools in clinical practice. Conclusions: This article provides initial insights into factors that are likely to be significant determinants of adoption of mHealth among physiotherapists. Further work, including qualitative research, will help to identify personal and institutional factors that will improve the acceptance of mHealth.

Entities:  

Keywords:  health; health care surveys; mobile phone; technology assessment

Year:  2018        PMID: 30275650      PMCID: PMC6158559          DOI: 10.3138/ptc.2016-100.e

Source DB:  PubMed          Journal:  Physiother Can        ISSN: 0300-0508            Impact factor:   1.037


  27 in total

1.  Mobile computing acceptance factors in the healthcare industry: a structural equation model.

Authors:  Jen-Her Wu; Shu-Ching Wang; Li-Min Lin
Journal:  Int J Med Inform       Date:  2006-08-08       Impact factor: 4.046

Review 2.  The promise of mHealth: daily activity monitoring and outcome assessments by wearable sensors.

Authors:  Bruce H Dobkin; Andrew Dorsch
Journal:  Neurorehabil Neural Repair       Date:  2011 Nov-Dec       Impact factor: 3.919

3.  Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation.

Authors:  Brad E Dicianno; Bambang Parmanto; Andrea D Fairman; Theresa M Crytzer; Daihua X Yu; Gede Pramana; Derek Coughenour; Alan A Petrazzi
Journal:  Phys Ther       Date:  2014-06-12

4.  Apple HealthKit and Health App: Patient Uptake and Barriers in Primary Care.

Authors:  Frederick North; Rajeev Chaudhry
Journal:  Telemed J E Health       Date:  2016-05-12       Impact factor: 3.536

Review 5.  Monitoring of physical activity after stroke: a systematic review of accelerometry-based measures.

Authors:  Nick Gebruers; Christel Vanroy; Steven Truijen; Sebastiaan Engelborghs; Peter P De Deyn
Journal:  Arch Phys Med Rehabil       Date:  2010-02       Impact factor: 3.966

6.  Advances in wearable technology and applications in physical medicine and rehabilitation.

Authors:  Paolo Bonato
Journal:  J Neuroeng Rehabil       Date:  2005-02-25       Impact factor: 4.262

Review 7.  Systematic review of the validity and reliability of consumer-wearable activity trackers.

Authors:  Kelly R Evenson; Michelle M Goto; Robert D Furberg
Journal:  Int J Behav Nutr Phys Act       Date:  2015-12-18       Impact factor: 6.457

8.  Mobile technologies: expectancy, usage, and acceptance of clinical staff and patients at a university medical center.

Authors:  Kristin Illiger; Markus Hupka; Ute von Jan; Daniel Wichelhaus; Urs-Vito Albrecht
Journal:  JMIR Mhealth Uhealth       Date:  2014-10-21       Impact factor: 4.773

Review 9.  Interventions to improve recruitment and retention in clinical trials: a survey and workshop to assess current practice and future priorities.

Authors:  Peter Bower; Valerie Brueton; Carrol Gamble; Shaun Treweek; Catrin Tudur Smith; Bridget Young; Paula Williamson
Journal:  Trials       Date:  2014-10-16       Impact factor: 2.279

10.  Mobile technologies in the early detection of cognitive decline.

Authors:  Michèle Allard; Mathilde Husky; Gwénaëlle Catheline; Amandine Pelletier; Bixente Dilharreguy; Hélène Amieva; Karine Pérès; Alexandra Foubert-Samier; Jean-François Dartigues; Joel Swendsen
Journal:  PLoS One       Date:  2014-12-23       Impact factor: 3.240

View more
  9 in total

1.  Potential of digitalization within physiotherapy: a comparative survey.

Authors:  Katharina Estel; Julian Scherer; Heiko Dahl; Eva Wolber; Noah D Forsat; David A Back
Journal:  BMC Health Serv Res       Date:  2022-04-13       Impact factor: 2.655

2.  The Potential of Self-Management mHealth for Pediatric Cystic Fibrosis: Mixed-Methods Study for Health Care and App Assessment.

Authors:  Antonio Martinez-Millana; Annabel Zettl; Jacqueline Floch; Joaquim Calvo-Lerma; Jose Luis Sevillano; Carmen Ribes-Koninckx; Vicente Traver
Journal:  JMIR Mhealth Uhealth       Date:  2019-04-18       Impact factor: 4.773

3.  Clinician Perspectives on mRehab Interventions and Technologies for People with Disabilities in the United States: A National Survey.

Authors:  John Morris; Mike Jones; Nicole Thompson; Tracey Wallace; Frank DeRuyter
Journal:  Int J Environ Res Public Health       Date:  2019-10-31       Impact factor: 3.390

4.  Clinicians' perspectives on inertial measurement units in clinical practice.

Authors:  François Routhier; Noémie C Duclos; Émilie Lacroix; Josiane Lettre; Elizabeth Turcotte; Nathalie Hamel; François Michaud; Cyril Duclos; Philippe S Archambault; Laurent J Bouyer
Journal:  PLoS One       Date:  2020-11-13       Impact factor: 3.240

Review 5.  Use of mHealth Technology for Patient-Reported Outcomes in Community-Dwelling Adults with Acquired Brain Injuries: A Scoping Review.

Authors:  Shannon B Juengst; Lauren Terhorst; Andrew Nabasny; Tracey Wallace; Jennifer A Weaver; Candice L Osborne; Suzanne Perea Burns; Brittany Wright; Pey-Shan Wen; Chung-Lin Novelle Kew; John Morris
Journal:  Int J Environ Res Public Health       Date:  2021-02-23       Impact factor: 3.390

6.  Web-based physical activity intervention for people with progressive multiple sclerosis: application of consensus-based intervention development guidance.

Authors:  Monica Busse; Julie Latchem-Hastings; Kate Button; Vince Poile; Freya Davies; Rhian O' Halloran; Barbara Stensland; Emma Tallantyre; Rachel Lowe; Fiona Wood; Helen Dawes; Adrian Edwards; Fiona Jones
Journal:  BMJ Open       Date:  2021-03-16       Impact factor: 2.692

7.  Physiotherapists' use and perceptions of digital remote physiotherapy during COVID-19 lockdown in Switzerland: an online cross-sectional survey.

Authors:  Anne-Kathrin Rausch; Heiner Baur; Leah Reicherzer; Markus Wirz; Fabienne Keller; Emmanuelle Opsommer; Veronika Schoeb; Stefano Vercelli; Marco Barbero
Journal:  Arch Physiother       Date:  2021-07-07

8.  Clinician perceptions of a prototype wearable exercise biofeedback system for orthopaedic rehabilitation: a qualitative exploration.

Authors:  Rob Argent; Patrick Slevin; Antonio Bevilacqua; Maurice Neligan; Ailish Daly; Brian Caulfield
Journal:  BMJ Open       Date:  2018-10-25       Impact factor: 2.692

Review 9.  An Investigation Into the Use of mHealth in Musculoskeletal Physiotherapy: Scoping Review.

Authors:  Jonathon M R Agnew; Catherine E Hanratty; Joseph G McVeigh; Chris Nugent; Daniel P Kerr
Journal:  JMIR Rehabil Assist Technol       Date:  2022-03-11
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.