The Effect of Digital-Based Simulation on Physiotherapy Students

NCT05863650 | Completed

• 1 other identifier: 22112022-108
• Study Type: interventional
• Target: 60
• Locations: 1 country
• Sites: 1

Brief Summary

In physiotherapy and rehabilitation education, basic medical courses, clinical information, rehabilitation approaches, special teachings of the profession, clinical problem solving and analysis in their fields are taught during university education. Musculoskeletal problems will be selected for the patient scenarios to be used in the simulation and algorithms will be arranged for the simulation. After the algorithms are created, a website with patient scenarios containing these algorithms will be established with the support of a software company. In addition to the website, a database will be created and the applications made on the site will be recorded. In our study, stepped wedge design will be used. 100 volunteer students participating in the study will start face-to-face training after preliminary evaluations are made. Afterwards, every two weeks, a randomized group of 20 people will be included in the hybrid training, which includes both face-to-face and simulation training. In the face-to-face education group, the educational content prepared in parallel with the patient scenarios in the hybrid education group will be applied in the classroom environment by the students together with the educators themselves. In the hybrid training group, one case analysis will be done every week on the website designed under the supervision of researchers, and one case analysis will be done through face-to-face training. The self-efficacy and clinical reasoning levels of the students included in the study will be evaluated with the Physiotherapist Self-Efficacy Questionnaire and the Clinical Reasoning Assessment Tool. The same evaluations will be repeated after the students in both groups have completed their 10-week education. Afterwards, students' satisfaction levels and suggestions from the simulation will be evaluated with qualitative questions, and opinions and suggestions about simulation will be collected by creating themes.

Conditions

Self-efficacy; Clinical Reasoning

Keywords

Digital based simulation; Face to face education; Physiotherapy and rehabilitation students

Outcome Measures

Primary Outcomes (2)

• Self-efficacy will be measured using a Turkish version of Physiotherapist Self-Efficacy Questionnaire-musculoskeletal area.

  The questionnaire consists of 13 items. The participants will asked to indicate their confidence to perform the described task (1 = very little confidence; 5 = a lot of confidence). Higher scores are related more confidence self-efficacy. Outcomes will be evaluated before and after the intervention.

  6 weeks

• The 'Clinical Reasoning Assesment Tool (CRAT)' will be used in clinical reasoning assessment.

  The CRAT, a rubric scale, is scored by the evaluator marking on the Visual Analog Scale. CRAT aims to assess students' readiness to enter the clinical setting and facilitate student self-monitoring. The tool aims to actively participate in the student's development by identifying strong or weak areas in three areas (content knowledge - procedural knowledge and psychomotor skill - conceptual reasoning). Outcomes will be evaluated before and after the intervention.

  6 weeks

Study Arms (2)

Hybrid Education

EXPERIMENTAL

60 volunteer students participating in the study will start face-to-face training after preliminary evaluations are made. Afterwards, a randomized group of 10 people will be included in the simulation training every week. In the face-to-face education group, a case analysis will be applied by the students themselves together with the educators in the classroom environment. In the simulation group, one case analysis will be made every week on the website designed under the supervision of researchers.

Device: Digital based simulation

Face to Face Education

ACTIVE COMPARATOR

60 volunteer students participating in the study will start face-to-face training after preliminary evaluations are made. Afterwards, a randomized group of 10 people will be included in the simulation training every week. In the face-to-face education group, a case analysis will be applied by the students themselves together with the educators in the classroom environment. In the simulation group, one case analysis will be made every week on the website designed under the supervision of researchers.

Other: Face to face education

Interventions

Digital based simulation DEVICE

Algorithms will be created for various musculoskeletal diseases and these algorithms will be controlled by taking the opinions of physiotherapists and physicians who are experts in their fields. After the algorithms are created, a website with patient scenarios containing these algorithms will be established with the support of a software company. In addition to the website, a database will be created and the applications made on the site will be recorded. In this way, the data of users using the website will be collected.

Hybrid Education

Face to face education OTHER

In the face-to-face education group, one case analyzes will be applied by the students together with the educators themselves in the classroom environment, with the educational content prepared in parallel with the patient scenarios in the simulation-based education group.

Face to Face Education

Eligibility Criteria

• Age: 18 Years - 25 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)

You may qualify if:

• Being an undergraduate student at Marmara University Faculty of Health Sciences Physiotherapy and Rehabilitation Department
• Having agreed to participate in the study
• Being in the 6th semester of their studies

You may not qualify if:

• Refusing to participate in the study

Sponsors & Collaborators

• Marmara University: lead
• Health Institutes of Turkey: collaborator

Study Sites (1)

Marmara University

Istanbul, Turkey (Türkiye)

Location

Related Publications (15)

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  PMID: 29191189 BACKGROUND

• Zimmerman BJ. Self-Efficacy: An Essential Motive to Learn. Contemp Educ Psychol. 2000 Jan;25(1):82-91. doi: 10.1006/ceps.1999.1016.

  PMID: 10620383 BACKGROUND

• Veneri D. The role and effectiveness of computer-assisted learning in physical therapy education: a systematic review. Physiother Theory Pract. 2011 May;27(4):287-98. doi: 10.3109/09593985.2010.493192. Epub 2010 Aug 8.

  PMID: 20690881 BACKGROUND

• Odegaard NB, Myrhaug HT, Dahl-Michelsen T, Roe Y. Digital learning designs in physiotherapy education: a systematic review and meta-analysis. BMC Med Educ. 2021 Jan 13;21(1):48. doi: 10.1186/s12909-020-02483-w.

  PMID: 33441140 BACKGROUND

• Blackstock FC, Watson KM, Morris NR, Jones A, Wright A, McMeeken JM, Rivett DA, O'Connor V, Peterson RF, Haines TP, Watson G, Jull GA. Simulation can contribute a part of cardiorespiratory physiotherapy clinical education: two randomized trials. Simul Healthc. 2013 Feb;8(1):32-42. doi: 10.1097/SIH.0b013e318273101a.

  PMID: 23250189 BACKGROUND

• Sandoval-Cuellar C, Alfonso-Mora ML, Castellanos-Garrido AL, Del Pilar Villarraga-Nieto A, Goyeneche-Ortegon RL, Acosta-Otalora ML, Del Pilar Castellanos-Vega R, Cobo-Mejia EA. Simulation in physiotherapy students for clinical decisions during interaction with people with low back pain: randomised controlled trial. BMC Med Educ. 2021 Jul 9;21(1):375. doi: 10.1186/s12909-021-02812-7.

  PMID: 34243767 BACKGROUND

• Zhong BL, Luo W, Li HM, Zhang QQ, Liu XG, Li WT, Li Y. Knowledge, attitudes, and practices towards COVID-19 among Chinese residents during the rapid rise period of the COVID-19 outbreak: a quick online cross-sectional survey. Int J Biol Sci. 2020 Mar 15;16(10):1745-1752. doi: 10.7150/ijbs.45221. eCollection 2020.

  PMID: 32226294 BACKGROUND

• van Lankveld W, Jones A, Brunnekreef JJ, Seeger JPH, Bart Staal J. Assessing physical therapist students' self-efficacy: measurement properties of the Physiotherapist Self-Efficacy (PSE) questionnaire. BMC Med Educ. 2017 Dec 12;17(1):250. doi: 10.1186/s12909-017-1094-x.

  PMID: 29233154 BACKGROUND

• Phillips AC, Mackintosh SF, Bell A, Johnston KN. Developing physiotherapy student safety skills in readiness for clinical placement using standardised patients compared with peer-role play: a pilot non-randomised controlled trial. BMC Med Educ. 2017 Aug 10;17(1):133. doi: 10.1186/s12909-017-0973-5.

  PMID: 28797260 BACKGROUND

• Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the process of cross-cultural adaptation of self-report measures. Spine (Phila Pa 1976). 2000 Dec 15;25(24):3186-91. doi: 10.1097/00007632-200012150-00014. No abstract available.

  PMID: 11124735 BACKGROUND

• Holdar U, Wallin L, Heiwe S. Why do we do as we do? Factors influencing clinical reasoning and decision-making among physiotherapists in an acute setting. Physiother Res Int. 2013 Dec;18(4):220-9. doi: 10.1002/pri.1551. Epub 2013 May 2.

  PMID: 23637022 RESULT

• Torres G, Villagran I, Fuentes J, Araya JP, Jouannet C, Fuentes-Lopez E. Interactive virtual scenarios as a technological resource to improve musculoskeletal clinical reasoning skills of undergraduate physiotherapy students. Physiother Theory Pract. 2022 Aug;38(8):1016-1026. doi: 10.1080/09593985.2020.1809043. Epub 2020 Aug 19.

  PMID: 32814476 RESULT

• Hough J, Levan D, Steele M, Kelly K, Dalton M. Simulation-based education improves student self-efficacy in physiotherapy assessment and management of paediatric patients. BMC Med Educ. 2019 Dec 16;19(1):463. doi: 10.1186/s12909-019-1894-2.

  PMID: 31842864 RESULT

• Koivisto JM, Haavisto E, Niemi H, Haho P, Nylund S, Multisilta J. Design principles for simulation games for learning clinical reasoning: A design-based research approach. Nurse Educ Today. 2018 Jan;60:114-120. doi: 10.1016/j.nedt.2017.10.002. Epub 2017 Oct 24.

  PMID: 29096383 RESULT

• Halabchi F, Hassabi M. Acute ankle sprain in athletes: Clinical aspects and algorithmic approach. World J Orthop. 2020 Dec 18;11(12):534-558. doi: 10.5312/wjo.v11.i12.534. eCollection 2020 Dec 18.

  PMID: 33362991 RESULT

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Purpose: OTHER
• Intervention Model: CROSSOVER
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Model Details: Stepped wedge design

Study Record Dates

• First Submitted: April 27, 2023
• First Posted: May 18, 2023
• Study Start: October 11, 2024
• Primary Completion: November 15, 2024
• Study Completion: December 2, 2024
• Last Updated: July 28, 2025

Record last verified: 2024-12

Data Sharing

• IPD Sharing: Will not share

Locations

TU (1)