The Effect of Digital-Based Simulation on Physiotherapy Students

Self-efficacy Clinical Trial

Official title:

The Effect of Digital-Based Simulation Education on Self-Efficacy and Clinical Reasoning Skills in Physiotherapy and Rehabilitation Students

Clinical Trial Details — Status: Not yet recruiting

Administrative data

• NCT number: NCT05863650
• Other study ID #: 22112022-108
• Status: Not yet recruiting
• Phase: N/A
• Start date: June 1, 2023
• Est. completion date: July 31, 2024

Study information

• Verified date: March 2023
• Source: Marmara University
• Contact: Mehmet Eren Ucuzoglu
• Phone: +905302867391
• Email: ptucuzoglu[@]gmail.com
• Is FDA regulated: No
• Study type: Interventional

Clinical Trial 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.

Description:

Clinical reasoning is one of the most fundamental skills in health professions education and is essential for engaging in clinical practice. In many studies, it is stated that the learning of the clinical reasoning process in undergraduate students should be included in the curricula and learning objectives.

Self-efficacy is a concept that is effective in shaping one's behavior. Academic self-efficacy is the individual's belief in himself about how successful he will be in the face of the academic tasks he will face throughout his academic life and at what level he can fulfill these tasks.

In recent years, digital learning designs have been increasingly used in teaching practices in higher education. Various designs offer opportunities to improve self-regulation abilities, facilitate active learning, and make the learning process more transparent. It covers a variety of technologies such as digital learning designs, virtual reality, podcasts, apps, educational games, 360° video and animations. These technologies can be applied directly in learning activities or combined with other planned learning activities.

In studies, digital learning designs in physiotherapy education have been criticized because they are not based on a theoretical learning perspective. A systematic review on the role of computer-assisted learning in physiotherapy education concluded that it has been substantially less researched compared to other health professions education.

Recruitment information / eligibility

• Status: Not yet recruiting
• Enrollment: 100
• Est. completion date: July 31, 2024
• Est. primary completion date: May 31, 2024
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years to 25 Years

Eligibility

Inclusion Criteria:

• 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

Exclusion Criteria:

• Refusing to participate in the study

Related Conditions & MeSH terms

• Clinical Reasoning
• Self-efficacy

Intervention

Device:
• Digital based simulation
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.

Other:
• Face to face education
In the face-to-face education group, two 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.

Locations

Country	Name	City	State
Turkey	Marmara University	Istanbul

Sponsors (1)

Lead Sponsor	Collaborator
Marmara University

Country where clinical trial is conducted

Turkey, 

References & Publications (15)

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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 O — View Citation

Montpetit-Tourangeau K, Dyer JO, Hudon A, Windsor M, Charlin B, Mamede S, van Gog T. Fostering clinical reasoning in physiotherapy: comparing the effects of concept map study and concept map completion after example study in novice and advanced learners. BMC Med Educ. 2017 Dec 1;17(1):238. doi: 10.1186/s12909-017-1076-z. — View Citation

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. — View Citation

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. — View Citation

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. Erratum In: BMC Med Educ. 2021 Aug 9;21(1):423. — View Citation

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 — View Citation

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. — View Citation

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. — View Citation

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. — View Citation

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

* Note: There are 15 references in all — Click here to view all references

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	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.	10 weeks
Primary	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.	10 weeks