Effectiveness of Interprofessional Learning and Simulation on Healthy Aging in Undergraduate Medical and Nursing Program

May 8, 2019 updated by: Massimiliano Panella, Università degli Studi del Piemonte Orientale "Amedeo Avogadro"

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

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

Interventional

Enrollment (Anticipated)

80

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Novara, Italy, 28100
        • Universita del piemonte Orientale

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

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

This section provides details of the study plan, including how the study is designed and what the study is measuring.

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.
  1. Pre-immersion preparation. A self-study course will be offered about lifestyle modification. Some readings will be suggested to introduce students to the concepts of health promotion and prevention of metabolic syndrome.
  2. Immersion. Four different learning methods will be provided: I) four hours of didactic lectures followed by group discussion, II) four hours per student of role playing, III) 30' per students of standardized patient experiences and IV) 30' per students of a new immersive advanced simulation learning environment (e-REAL). Four case-studies will be used to create scenarious, including woman with menopause weight gain, obese young adult, obese child and adult with unhealthy behaviours.
No Intervention: Traditional course
Participants in the control group will receive the current face-to-face course.

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.

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.
From baseline to one month

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Students' self-confidence about learning in simulation.
Time Frame: up to 1 week after intervention
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.
up to 1 week after intervention
Students' perception about learning in simulation
Time Frame: up to 1 week after intervention
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.
up to 1 week after intervention
Students' perception of the presence of educational best practices in simulation
Time Frame: up to 1 week after intervention
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.
up to 1 week after intervention

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Massimiliano Panella, Dipartimento di medicina traslazionale-Università degli studi del piemonte orientale

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Anticipated)

October 1, 2019

Primary Completion (Anticipated)

November 1, 2019

Study Completion (Anticipated)

November 1, 2019

Study Registration Dates

First Submitted

April 1, 2019

First Submitted That Met QC Criteria

April 10, 2019

First Posted (Actual)

April 12, 2019

Study Record Updates

Last Update Posted (Actual)

May 10, 2019

Last Update Submitted That Met QC Criteria

May 8, 2019

Last Verified

April 1, 2019

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)?

No

IPD Plan Description

Study protocol and final report will be submitted to peer-reviewed journal for possible publication.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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