- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03914040
Effectiveness of Interprofessional Learning and Simulation on Healthy Aging in Undergraduate Medical and Nursing Program
Interprofessional Learning and Simulation Versus Traditional Course on Healthy Aging: a Randomized Control Trial
Aging population is an important public health issue and require coordinated and comprehensive response. Medical and nursing schools need to address challenges in health care delivery, and interprofessional simulation-based education (IPSE) provides realistic learning experiences in which interprofessional communication, roles and teamwork can be developed and assessed.
The study aims to examine the effectiveness of delivering an IPSE program versus traditional course to nursing and medical students. The primary outcome is improved communication skills, assessed by Communication Skill Attitude Scale (CSAS) divided in two subscales: Positive Attitude Scale (PAS) and Negative Attitude Scale (NAS).
Study Overview
Status
Intervention / Treatment
Detailed Description
Design: this is a randomized, controlled study. Eligible participants will be randomly allocated to intervention group (IPSE) or control group (traditional course) in a 1:1 ratio. The investigator will use a block size of four with no stratification: for each block of 4 students, a different random ordering of 2 assignments to each treatment will be produced. A table of random numbers will be used to produce 2 randomization lists: one for nursing students and one for medical students.
Setting and participants: the study will be performed at the Università del Piemonte Orientale (Italy). In this study, second-year student volunteers from the Nursing School and fourth and fifth-year student volunteers from the School of Medicine will be recruited through an information session.
Intervention: IPSE program is divided in two phases: 1) a self-study course will be offered about lifestyle modification, 2) four different learning methods: didactic lecture, role playing, standardized patient and a new immersive advanced simulation learning environment will be provided.
Data collection: demographic data (gender, age, education) will be gathered to obtain a basic profile of participants prior to allocation. Before the randomization and after the completion of the program, each participant will complete the evaluation session.
Sample size calculation: a minimal total study sample size of 60 (24 nursing and 36 medical students) would be required to provide 80% power to reject the null hypothesis that no difference existed between the two research arms in NAS/PAS score, with a two-sided type 1 error of 5%. To balance the sample size of the two groups, the investigator decided to recruit the same number of nursing and medical students: 36 participants for each group. With a 10% allowance for students lost at follow up, a sample size of 80 students would be required and will be used.
Analyses: all analyses will be based on the Intention-To-Treat (ITT) approach. Students who do not start intervention or only complete the 25% of the course will not be included in the analysis. Descriptive statistical analyses will be conducted separately for each student group using the information collected at baseline. For categorical variables, number and percentage of participants in each category will be reported while, for normally distributed continuous variables, the mean and Standard Deviation values will be calculated. If the data are not normal, the investigator will use median and interquartile range. Subsequently, the analyses will be conducted categorizing the continuous variables and joining levels of ordinal variables to avoid the occurrence of scattered data phenomena.
In order to evaluate baseline differences between nursing and medical students, approximate (Chi square) or exact (Fisher) association tests will be performed for categorical variables while, for numeric ones, the investigator will use the independent T-test(parametric) or the Mann-Whitney U test (nonparametric). The obtained p value values will be reported.
The individual response profiles of primary outcomes will be implemented. Then, subjects will be categorized into two groups: successful if they increase positive scores/decrease negative scores and unsuccessful if they decrease positive scores/increase negative scores. The association with these binary outcomes and the recorded variables will be evaluated with appropriate tests (Chi-square, Fisher Exact, T, Mann-Withey). For each outcome the Relative Risks will be calculated with the respective 95% Confidence Interval using a Poisson regression with a robust error variance.
Study data will gather and manage with REDCap31 electronic data-capture tools, and the analyses will be performed by using SAS version 9.4.
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
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Novara, Italy, 28100
- Universita del piemonte Orientale
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- second-year nursing students,
- fourth and fifth-year medical students.
Exclusion Criteria:
- students who had already failed the course in a previous year.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: IPSE program
IPSE is conceptually divided in two phases: 1) pre-immersion preparation, 2) immersion.
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|
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No Intervention: Traditional course
Participants in the control group will receive the current face-to-face course.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Communication skills.
Time Frame: From baseline to one month.
|
Communication Skill Attitude Scale (CSAS).CSAS is a 26-item questionnaire in two dimensions that has been developed to measure positive and negative attitudes towards learning communication skills.
Each of the two subscales consists of 13 items, the Positive Attitude Scale (PAS) and the Negative Attitude Scale (NAS).
|
From baseline to one month.
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Students' perception of the professional role of physician and nurse.
Time Frame: From baseline to one month
|
The measurement tool is the semantic differential test.
It consists of a series of 16 bipolar adjective-pair scales for measuring psychological meanings related to three concepts: "me as a medical or nursing student", "physician using lifestyle medicine approach" and "nurse using lifestyle medicine approach".The meaning of the concept is measured by individual, selecting a point along a seven-point scale.
The point selected indicates both the quality and intensity of the participant's subjective assessment of the association between the adjective pair and the related concept.
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From baseline to one month
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Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Students' self-confidence about learning in simulation.
Time Frame: up to 1 week after intervention
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The Student Satisfaction and Self-Confidence in Learning Scale (SCLS).
A total of 13 items assess the attitudes toward satisfaction with instruction and self-confidence in learning in simulation.
For each item, participants indicated their personal feelings about a statement that described their own attitudes or beliefs.
Response options are 1) strongly disagree, 2) disagree, 3) undecided, 4) agree, and 5) strongly agree using a Likert-style scale.
Scores are calculated by summing responses; higher scores indicate more satisfaction and more self-confidence, respectively.
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up to 1 week after intervention
|
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Students' perception about learning in simulation
Time Frame: up to 1 week after intervention
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Simulation Design Scale (SDS).
A total of 20 items assess perceptions of objectives, information, support, problem solving, feedback, and fidelity in simulation.
For each item, participants indicate their perceptions about a statement that described the presence of simulation design features.
Response options for statements related to presence of simulation design features are 1) strongly disagree, 2) disagree, 3) undecided, 4) agree, 5) strongly agree, and NA) not applicable using a Likert-style scale.
Scores are calculated by summing responses; higher scores represent increased recognition of design features in simulation.
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up to 1 week after intervention
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Students' perception of the presence of educational best practices in simulation
Time Frame: up to 1 week after intervention
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Educational Practices Questionnaire (EPQ).The instrument consists in 16 items.
For each item, participants indicated their perceptions about a statement that described presence of educational best practices.
Items are rated on a Likert-type scale ranging from 1 (strongly disagree) to 5 (strongly agree).
Scores are calculated by summing responses; higher scores represent increased recognition of educational best practices in simulation.
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up to 1 week after intervention
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Collaborators and Investigators
Investigators
- Principal Investigator: Massimiliano Panella, Dipartimento di medicina traslazionale-Università degli studi del piemonte orientale
Study record dates
Study Major Dates
Study Start (Anticipated)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Other Study ID Numbers
- IPSE_UPO students
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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