Clinical trial NCT06226207: Mobile Acceptance Questionnaire in Physiotherapy
Official title: Validity and Reliability of Turkish Version of Physiotherapy Mobile Acceptance Questionnaire
Study type: OBSERVATIONAL
Overall status: COMPLETED
Conditions: Reliability and Validity
Keywords: Mobile Health Apps
Physiotherapy Mobile Acceptance Questionnaire
Health
Technology assessment
Lead sponsor: Karabuk University
Sponsor class: OTHER
First posted: 2024-01-26
Enrollment: 421
Sex: ALL
Minimum age (years): 20
Maximum age (years): 60
Standard ages: ADULT
Accepts healthy volunteers: yes
Observational model: CASE_ONLY
Time perspective: CROSS_SECTIONAL
Sampling method: NON_PROBABILITY_SAMPLE
Study population: A total of 421 physiotherapists will be included in the research.

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.

Detailed description: Due to the necessity of collecting data from a large sample to test the research's hypotheses, the questionnaire was chosen as the data collection instrument. The Physiotherapy Mobile Acceptance Questionnaire (PTMAQ) scale developed by Blumenthal et al. \[6\] was translated into Turkish and used for data collection on the variables of the study. In this scale, it was seen that a total of 8 expressions belonging to the Perceived usefulness (4 expressions) and Perceived ease of use (4 expressions) variables were used by making use of the TAM model to reveal the attitudes of the participants (physiotherapist) that could affect their intentions towards mHealth practice. Then, a question consisting of 4 statements was asked to reveal the effect of these variables on the intention to use of early adopters. Finally, 18 statements were used to measure the effect of intention to use on intention/likelihood to recommend an mHealth tool for specific clinical purposes.

Based on the clinical usefulness of MWT, these 18 statements want to determine the probability of physiotherapists recommending MWT to patients based on the clinical usefulness of using MWT in 3 dimensions (gait speed, gait quality and balance, pain/cognitive status). Responses were requested in a 5-point Likert format to the statements in the scale, according to which "1=Strongly Disagree" means "5=Strongly Agree". For the scale adaptation procedure, Blumenthal et al., the creators of the PTMAQ scale, were contacted via email and permission was secured. After that, five academics who had an excellent command on English translated it into Turkish. Attempts were made to establish language validity using the back translation technique. It was translated into the target language by an expert in the field of English, and the similarity was determined by translating it from the target language into English. Consequently, it was determined that the forms created independently in the two languages are comparable. Before conducting field research, a draft questionnaire was administered to forty physiotherapists, who were then interviewed face-to-face about concepts and expressions. In this manner, the potential miscommunication-causing wording errors in the questionnaire were reviewed, and the questionnaire was finalized.

Eligibility criteria: Inclusion Criteria:

* 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

Exclusion Criteria:

-

Primary outcomes:
measure: Physiotherapy Mobile Acceptance Questionnaire (PMAQ)
timeFrame: First Day
Secondary outcomes:
Other outcomes:
Locations:
city: Karabük
country: Turkey
facility: Karabük University
Study officials:
affiliation: Karabuk University
name: Metehan YANA PhD
role: PRINCIPAL_INVESTIGATOR
References:
citation: 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.
citation: 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.
citation: 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.
citation: 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.
citation: 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.