Mobile Acceptance Questionnaire in Physiotherapy

NCT06226207 | Completed

• 1 other identifier: Questionnaire
• Study Type: observational
• Target: 421
• Locations: 1 country
• Sites: 1

Brief Summary

Many studies were conducted on the determinants and acceptance of mobile or wearable health care technology (mHealth). However, little research was done on physiotherapists' thinking regarding the use of mHealth. In this study, it was aimed to test the suitability of the Physiotherapy Mobile Acceptance Questionnaire -PTMAQ which was developed by Blumenthal et al. \[6\] to evaluate the physiotherapists' Perspectives on the Use of Mobile or Wearable Technology in their clinical practice, to the assessments of physiotherapists (to understand attitudes and possible barriers). PTMAQ, based on the Technology Acceptance Model (TAM) by Blumenthal et al. \[6\] was translated into Turkish and applied to Physiotherapists working in Turkey. Thus, it is expected that the results to be obtained after the scale is applied in Turkish language and in the Turkish sample will contribute to the further development of the scale. In this respect, the study is important both in terms of bringing a new PTMAQ to the literature and making suggestions to researchers and academicians who will use this scale in the future.

Conditions

Reliability and Validity

Keywords

Mobile Health Apps; Physiotherapy Mobile Acceptance Questionnaire; Health; Technology assessment

Outcome Measures

Primary Outcomes (1)

• Physiotherapy Mobile Acceptance Questionnaire (PMAQ)

  It is a survey consisting of 30 questions examining physiotherapists' adoption behaviors on mobile health. It consists of 12 items assessing adoption of technological applications and 18 items related to clinical variables for which mHealth technology can be recommended. Clinical variables in this context consist of (1) general activity level, (2) balance, (3) walking speed, (4) walking quality, (5) cognitive status and (6) pain. There are 5 answer options for each question, including: strongly disagree, disagree, undecided, agree, and strongly agree (6). Additionally, following the survey, individuals' demographic information and smartphone ownership and usage status will be questioned.

  First Day

Eligibility Criteria

• Age: 20 Years - 60 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)
• Sampling Method: Non-Probability Sample

Study Population

A total of 421 physiotherapists will be included in the research.

You may qualify if:

• Having completed at least 4 years of physiotherapy and rehabilitation education at undergraduate level and having the title of physiotherapist.
• Being actively practicing their profession in universities, hospitals, rehabilitation centers, etc.
• Being able to communicate in Turkish
• Volunteering to participate in the study

Sponsors & Collaborators

• Karabuk University: lead

Study Sites (1)

Karabük University

Karabük, 78000, Turkey (Türkiye)

Location

Related Publications (5)

• Gagnon MP, Orruno E, Asua J, Abdeljelil AB, Emparanza J. Using a modified technology acceptance model to evaluate healthcare professionals' adoption of a new telemonitoring system. Telemed J E Health. 2012 Jan-Feb;18(1):54-9. doi: 10.1089/tmj.2011.0066. Epub 2011 Nov 14.

  PMID: 22082108 BACKGROUND

• Palos-Sanchez PR, Saura JR, Rios Martin MA, Aguayo-Camacho M. Toward a Better Understanding of the Intention to Use mHealth Apps: Exploratory Study. JMIR Mhealth Uhealth. 2021 Sep 9;9(9):e27021. doi: 10.2196/27021.

  PMID: 34499044 BACKGROUND

• Hoque R, Sorwar G. Understanding factors influencing the adoption of mHealth by the elderly: An extension of the UTAUT model. Int J Med Inform. 2017 May;101:75-84. doi: 10.1016/j.ijmedinf.2017.02.002. Epub 2017 Feb 10.

  PMID: 28347450 BACKGROUND

• Blumenthal J, Wilkinson A, Chignell M. Physiotherapists' and Physiotherapy Students' Perspectives on the Use of Mobile or Wearable Technology in Their Practice. Physiother Can. 2018 Summer;70(3):251-261. doi: 10.3138/ptc.2016-100.e.

  PMID: 30275650 BACKGROUND

• Rai A, Chen L, Pye J, Baird A. Understanding determinants of consumer mobile health usage intentions, assimilation, and channel preferences. J Med Internet Res. 2013 Aug 2;15(8):e149. doi: 10.2196/jmir.2635.

  PMID: 23912839 BACKGROUND

Study Officials

• Metehan YANA PhD

  Karabuk University

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: CASE ONLY
• Time Perspective: CROSS SECTIONAL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Director

Study Record Dates

• First Submitted: January 17, 2024
• First Posted: January 26, 2024
• Study Start: August 1, 2023
• Primary Completion: January 30, 2024
• Study Completion: February 15, 2024
• Last Updated: February 16, 2024

Record last verified: 2024-02

Locations

TU (1)