Home Medicine Interactive module’s effectiveness on empathy and attitudes of healthcare students
Article Open Access

Interactive module’s effectiveness on empathy and attitudes of healthcare students

  • Jacob Linomaz EMAIL logo , Desmond Chee , Jana Wardian , Elizabeth Beverly and Shelene Thomas
Published/Copyright: June 12, 2025

Abstract

Context

As the prevalence of social determinants of health (SDH) continues to have an impact on the management of chronic conditions, it is imperative to expose health professional students to these encounters.

Objectives

This study investigates the role that virtual interactive modules play on osteopathic medical students and physician assistant (PA) students’ empathy and attitudes toward individuals with diabetes mellitus who are also affected by an array of SDHs.

Methods

Students from both health professional programs were asked to complete a pre-survey and post-survey that encompassed the Diabetes Attitude Scale, the Jefferson Empathy Scale, and the Assessing Student Competence and Knowledge of Social Determinants of Health (ASCK-SDH) Instrument. Students engaged with virtual interactive modules to follow the life of a patient, Lula Mae, who lives in the Appalachian area with Type 2 diabetes.

Results

Results from 151 osteopathic medical students concluded significant findings for the Diabetes Attitudes Scale (p<0.001), Jefferson Empathy Scale (p<0.02), and ASCK-SDH (p=0.02). While the matched data pairs for the PA students were too small in number to be significant, the data showed a positive trend pre-module to post-module.

Conclusions

This interactive module improved health professionals’ awareness, empathy, and attitudes toward SDH affecting those with chronic conditions. This implementation can be a valuable and insightful medical educational tool that can be adapted for other scenarios like various clinical rotations and sensitive healthcare topics to enhance the development of health professional students’ cultural competency and health equity awareness by exposure to various cultural, socioeconomic, and social identities in their future medical decision-making.

Social determinants of health (SDH) have been at the forefront of medical decision-making, educational topics, and policy development in recent times [1]. This is all the more important in the lens of chronic conditions, given the financial and time burden associated with them [2]. Diabetes mellitus is one such chronic health condition requiring attention in the United States because it is one of the leading causes of death [3]. While policy-level interventions targeting structural and systems-level inequities would bring about the greatest impact, there are various entities that make these endeavors difficult to bring to fruition [4]. Even on a micro level, many factors influence diabetes management that include but are not limited to involving a multidisciplinary team, educating patients from different backgrounds, meeting patients’ expectations, and understanding patients’ motivations. As such, healthcare students would benefit greatly from early exposure to such encounters as well as increasing their comfort level in having crucial conversations with patients from diverse backgrounds [5].

Currently, standardized patients, or patient actors [6], are utilized to help with these pursuits. However, these actors are not always readily available. For example, these encounters were limited to reduce coronavirus 19 disease (COVID-19) transmission and exposure during the pandemic [7]. In addition, medical knowledge and authenticity of standardized patients may be constrained due to skill and knowledge gaps [8]. With the development and implementation of new technology, such encounters can be provided and even enhanced. In some Advanced Cardiac Life Support (ACLS) classes, simulated “mega codes” are performed with a virtual patient in which students click through a module [5]. Virtual reality is the next frontier and provides novel simulations [9]. Previously, this has been implemented in Doctor of Physical Therapy programs also centered on patients with diabetes [10]. Indeed, it may be an innovative tool in enhancing cultural competency and empathy. Previous studies regarding the implementation of a longitudinal health equity curriculum to address cultural competency deficits in osteopathic medical students have also shown positive outcomes [11].

When designing a pre-post survey with an educational intervention in the middle, the primary educational theory at play is social cognitive theory, which posits measuring participants’ knowledge, attitudes, or behaviors before and after an intervention to evaluate the impact of the intervention of learning outcomes. This allows researchers to assess the impact of that intervention on specific learning outcomes, effectively demonstrating the change brought about by the educational experiences [12]. More specifically, this study focuses on the Appalachian population, where diabetes incidence is among the highest in the nation and increasing faster than the national average. Barriers to care listed in prior studies regarding the Appalachian region include cost of treatment, transportation to appointments, and strongly held beliefs in faith over medicine [13]. Health literacy is another factor, greatly affecting health outcomes and decision-making, with disparities that are much more evident in rural settings in comparison to urban ones [14]. Furthermore, other studies have linked depression with poor glycemic control [15], further aggravating overall health. This study seeks to investigate the role that interactive modules play on the empathy of Doctor of Osteopathic Medicine (DO) and physician assistant (PA) students, concerning attitudes of diabetes mellitus management for individuals impacted by SDH.

Methods

The institutional review board at Rocky Vista University approved an exempt protocol with IRB ID: 2022-136. DO and PA students engaged in an interactive virtual reality module as part of their curriculum. This project provided informed consent at the beginning of the pre-survey and post-survey that students elected to complete. Responses were de-identified and gathered through electronic data aggregation. ST and JW collected the consents and responses for further evaluation and analysis by JW.

This module was introduced during the diabetes section of the Osteopathic Medicine (OM) 1006 Endocrinology/Reproductive Course for the DO students and Physician Assistant Studies (PAS) 5233 Professional Seminar III for PA students. Students were informed of the option to participate in research by engaging in the virtual video simulation experience, which included a pre-survey and post-survey from February 1, 2023 to February 22, 2023, a 21-day period as outlined in Figure 1. The demographic information obtained was gender, race/ethnicity, highest level of education completed, close friend or family member with diabetes, if they were a healthcare provider or student, year in school, campus of study, as well as their specialty of interest.

Figure 1: 
The figure displays the mean scores on the Jefferson empathy scale before after completion of the virtual interactive modules. Scores range from 1 (strongly disagree) to 7 (strongly agree). The error bars represent the standard deviation of each result. Analysis shows there was a significant increase in scores after the completion of the modules, which indicates a positive impact on empathy modules for health professional students.
Figure 1:

The figure displays the mean scores on the Jefferson empathy scale before after completion of the virtual interactive modules. Scores range from 1 (strongly disagree) to 7 (strongly agree). The error bars represent the standard deviation of each result. Analysis shows there was a significant increase in scores after the completion of the modules, which indicates a positive impact on empathy modules for health professional students.

This module was funded by Medicare/Medicaid via the Medicaid Equity Simulation Project and created by Ohio University’s Game Research and Interactive Design Lab [16]. The module encompasses 12 subsections and possesses 360-degree view capabilities. The virtually simulated patient is a 72-year-old female living in the Appalachians named Lula Mae Tate. She has been living with Type 2 diabetes mellitus for the past 22 years and is the primary support for her immediate family. The Lula Mae module was produced by EB and gave permission for use for educational purposes. Before and after interacting with the module, the students were asked to complete a survey (Appendices 1 and 2).

Three scales were utilized for analyzing their data. The first was the Diabetes Attitude Scale, which gauged four subscales utilizing a five-point Likert-type scale with 1=strongly disagree and 5=strongly agree [17]. The subscales included the need for special training, seriousness of type 2 diabetes, psychosocial impact of diabetes, and patient autonomy. The second scale utilized was the Jefferson Empathy Scale, which utilized a 20-item seven-point Likert-type scale with 1=strongly disagree and 7=strongly agree [18]. The last scale utilized was Assessing Student Competence and Knowledge of Social Determinants of Health (ASCK-SDH), which was a four-point Likert-type scale consisting of eight items with 1=strongly disagree and 4=strongly agree. This scale is a relatively new validated instrument for measuring student competency and knowledge of SDH [19]. Paired t tests were utilized to analyze the data with mean (M) and standard error of the mean (SEM) accounting for variability.

Results

The sample size for DO and PA students was 379 and 34 students, respectively. One hundred fifty-one DO students (40 % response rate) and 7 PA students (21 % response rate) completed both surveys. The low response rate among the PA students explains why they were not included in the data analysis.

Based on the paired responses from DO students, there was evidence of an enhanced understanding of the nuances of diabetes management. For Diabetes Attitudes, M and SEM were calculated for the four subscales: the need for special training, seriousness of type 2 diabetes, psychosocial impact of diabetes, and patient autonomy. Students concurred for the need for special training (M=4.58; SEM=0.03), seriousness of type 2 diabetes (M=4.29; SEM=0.04), psychosocial impact of diabetes (M=4.36; SEM=0.03), and patient autonomy (M=4.23; SEM=0.04). After module completion, these four subscales showed significant increases. Postsurvey, need for special training increased (M=4.71; SEM=0.04; t[151]=−4.389, p<0.001), seriousness of type 2 diabetes increased (M=4.49; SEM=0.04; t[151]=−5.843, p<0.0001), psychosocial impact of diabetes increased (M=4.65; SEM=0.04; t[151]=−8.946, p<0.0001), and patient autonomy increased (M=4.33; SEM=0.04; t[151]=−3.199, p<0.0002) (Table 1).

Table 1:

Diabetes attitude results show increased scores between presurveys and postsurveys after module completion. All four subscales showed significant differences after interactive module completion.

Subscale Pre survey

M, SEM
Post survey

M, SEM
p-Value
Need for special training 4.58 (0.03) 4.71 (0.04) a<0.001
Seriousness of type 2 diabetes 4.29 (0.04) 4.49 (0.04) a<0.0001
Psychosocial impact of diabetes 4.36 (0.03) 4.65 (0.04) a<0.0001
Patient autonomy 4.23 (0.04) 4.33 (0.04) a<0.0002
  1. aSignificant at <0.05. M, mean; SM, standard error of the mean.

For the Jefferson Empathy Scale, students had a M=4.10 with a SEM=0.02 on their premodule surveys, which increased to a M=4.14 with a SEM=0.02 postmodule completion (t[151]=−2.355, p<0.05) (Figure 2).

Figure 2: 
The figure represents ASCK-SDH scores before and after completion of the virtual interactive module. The error bars represent the standard deviation of each result. Scores were assessed through presurveys and postsurveys. Analysis shows a significant increase in the awareness of SDH for health professional students.
Figure 2:

The figure represents ASCK-SDH scores before and after completion of the virtual interactive module. The error bars represent the standard deviation of each result. Scores were assessed through presurveys and postsurveys. Analysis shows a significant increase in the awareness of SDH for health professional students.

Finally, the ASCK-SDH scale showed a positive trend with a significant difference from presurvey to postsurvey with a p value<0.001 (t[151]=−3.68). Students had a M=25.98 and SEM=0.3 on the presurvey scale, while postsurvey scores showed a M=27.08 with a SEM=0.2 (Figure 3).

Figure 3: 
The figure provides a reference of the study design of the prelearning and postlearning activity surveys for the DO and PA students.
Figure 3:

The figure provides a reference of the study design of the prelearning and postlearning activity surveys for the DO and PA students.

Regarding the PA students, there were only seven paired responses between the presurvey and postsurvey. Due to the low response rate, statistical evidence on the impact of the module for the PA students was not seen.

Discussion

The integration of the Lula Mae virtual reality module has the potential of enhancing DO students’ cultural competency and attitudes toward diabetes management. By providing a realistic and immersive learning experience, the module is seen to promote a deep understanding of cultural, social, and societal factors impacting diabetes care. Students exposed to these multifaceted types of patient encounters through virtual reality have the ability to develop patient-centered approaches, tailor treatment plans, and utilize effective communication strategies through early exposure with virtual reality.

Additionally, the module may help students in recognizing their own biases as well as challenging stereotypes, thereby improving their ability to provide equitable care. Our study shows that virtual reality can be an effective teaching tool on enhancing empathy. However, whether it can completely replace traditional standardized patient encounters remains to be seen. Alternatively, it can be utilized as an adjunct tool with other curricula in healthcare education settings. As with all novel technologies, ease of implementation and use may hinder virtual reality modules’ initial impact.

It is unfortunate that the PA data was not large enough to reinforce our findings from the DO data. A subsequent study featuring students from this career path would greatly bolster support for its potential use in subsequent curricula. Biases considered during our study were optimism and pessimism toward diabetes management as well as contextual bias. Again, these modules were embedded in both the PA and DO curricula leading to possible skewing to factors including time-constraint pressures and grading anxiety. Further research is also needed to explore the long-term impact of the module on healthcare outcomes and to determine its effectiveness in other healthcare education settings.

This study assessed DO student empathy and improvement in diabetes attitudes. Empathy statistically significantly increased from presurvey (M=4.10) to postsurvey (M=4.14). While this may seem modest, it improved on an already-high empathy score, which could have experienced the ceiling effect and demonstrated no improvement or a decline. In paired data, diabetes attitudes showed a stronger agreement for specialty training for nonhealthcare providers caring for individuals with type 2 diabetes as well as an increase in seriousness of type 2 diabetes. The virtual module increased agreement in the psychosocial impact of diabetes as well as an agreement in the need to support, patient autonomy. By providing a realistic and immersive learning experience, the module is seen to promote a progressive awareness of the myriads of factors impacting diabetes management. Students exposed to these multifaceted patient encounters through virtual reality can develop patient-centered approaches, tailored treatment plans, and utilize effective communication strategies through early exposure with virtual reality.

Additionally, the module may help students in recognizing their own biases as well as challenging stereotypes, thereby improving their ability to provide equitable care. Our study shows that virtual reality can be an effective teaching tool for enhancing empathy. Its strength may be an adjunct tool with other curricula in healthcare education settings. As with all novel technologies, ease of implementation and use may hinder virtual reality modules’ initial impact.

Given that the intersection of SDH and chronic disease necessitates expertise beyond individual professions, this immersive learning experience has the potential to foster engaging interprofessional education. Consequently, incorporating this learning experience across various healthcare disciplines could significantly enhance educational opportunities and outcomes.

Limitations

Our findings are limited to the DO data from one academic institution, which hinders generalizability. In addition, our study was a nonrandomized single-institution design and had no longitudinal tracking of the empathy or other measures.

A recent study utilized this module to increase empathy and improve attitudes toward diabetes in two PA cohorts [20]. Thus, collecting more robust data in our PA cohorts may yield interesting comparisons.

Future studies could also augment the understanding of our results by asking for qualitative data regarding the learning activity. Biases considered during our study were optimism and pessimism toward diabetes management as well as contextual bias. Again, these modules were embedded in both the PA and DO curricula leading to possible skewing to factors including time constraint pressures, social desirability in response, and grading anxiety.

Conclusions

This study focused on discovering innovative methods to enhance health professionals’ approaches to diverse patient care. The results showed that implementing interactive virtual reality modules significantly improved DO students’ empathy and attitudes toward individuals with chronic conditions and their SDH. These findings suggest that such modules could benefit the education of osteopathic medical students and other health professionals. Perhaps including more than one such module throughout the course of the program may boost empathy. Longitudinal follow-up may assist in understanding if this module is useful in maintaining empathy gains.


Corresponding author: Jacob Linomaz, MHA, Department of Medical Humanities, College of Osteopathic Medicine, Rocky Vista University, 8401 S Chambers Road, Parker, CO 80112, USA, E-mail:

  1. Disclaimer: Dr. Beverly, who is a Section Editor for Journal of Osteopathic Medicine, was involved neither in the peer review of this manuscript nor the decision to publish it.

  2. Research ethics: This study was exempted through Rocky Vista University’s Institutional Review Board (protocol ID: 2022-136).

  3. Informed consent: Participants provided informed consent at the beginning of the surveys that were completed.

  4. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  5. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  6. Conflict of interest: None declared.

  7. Research funding: The modules used in this study were part of the Medicaid Equity Simulation Project funded by the Ohio Department of Medicaid and administered by the Ohio Colleges of Medicine Government Resource Center. Views expressed in this publication about the cine-virtual reality simulations do not represent the views of the state of Ohio or federal Medicaid programs.

  8. Data availability: The data analyzed during the current study are available from the corresponding author on reasonable request.

References

1. Islam, MM. Social determinants of health and related inequalities: confusion and implications. Front Public Health 2019;7:11. https://doi.org/10.3389/fpubh.2019.00011.Search in Google Scholar PubMed PubMed Central

2. Lenzi, FR, Filardi, T. Social determinants of vulnerabilities in type 2 diabetes: a call to action. J Endocrinol Invest 2023;46:841–4. https://doi.org/10.1007/s40618-022-01952-x.Search in Google Scholar PubMed

3. Clark, ML, Utz, SW. Social determinants of type 2 diabetes and health in the United States. World J Diabetes 2014;5:296–304. https://doi.org/10.4239/wjd.v5.i3.296.Search in Google Scholar PubMed PubMed Central

4. Ogunwole, SM, Golden, SH. Social determinants of health and structural inequities-root causes of diabetes disparities. Diabetes Care 2021;44:11–13. https://doi.org/10.2337/dci20-0060.Search in Google Scholar PubMed

5. Song, AY, Poythress, EL, Bocchini, CE, Kass, JS. Reorienting orientation: introducing the social determinants of health to first-year medical students. MedEdPORTAL;14:10752. https://doi.org/10.15766/mep_2374-8265.10752.Search in Google Scholar PubMed PubMed Central

6. Wilbur, K, Elmubark, A, Shabana, S. Systematic review of standardized patient use in continuing medical education. J Contin Educ Health Prof 2018;38:3–10. https://doi.org/10.1097/CEH.0000000000000190.Search in Google Scholar PubMed

7. Melendez, DR, Bradley, CL, Lee, S, Sherrill, CH. Transition from in-person to telehealth standardized patient encounters: a retrospective analysis of 18 cases. Curr Pharm Teach Learn 2022;14:1518–24. https://doi.org/10.1016/j.cptl.2022.10.009.Search in Google Scholar PubMed PubMed Central

8. Shankar, PR, Dwivedi, NR. Standardized patient’s views about their role in the teaching-learning process of undergraduate basic science medical students. J Clin Diagn Res JCDR 2016;10:JC01–5. https://doi.org/10.7860/JCDR/2016/18827.7944.Search in Google Scholar PubMed PubMed Central

9. Nacca, N, Holliday, J, Ko, PY. Randomized trial of a novel ACLS teaching tool: does it improve student performance? West J Emerg Med 2014;15:913–18. https://doi.org/10.5811/westjem.2014.9.20149.Search in Google Scholar PubMed PubMed Central

10. Denizard-Thompson, N, Palakshappa, D, Vallevand, A, Kundu, D, Brooks, A, DiGiacobbe, G, et al.. Association of a health equity curriculum with medical students’ knowledge of social determinants of health and confidence in working with underserved populations. JAMA Netw Open 2021;4:e210297. https://doi.org/10.1001/jamanetworkopen.2021.0297.Search in Google Scholar PubMed PubMed Central

11. Wardian, JL, Wells, TM, Cochran, TM. Creating patient context: empathy and attitudes toward diabetes following virtual immersion. J Diabetes Sci Technol 2023. https://doi.org/10.1177/19322968231174441. 19322968231174441.Search in Google Scholar PubMed PubMed Central

12. Dyer, E, Swartzlander, BJ, Gugliucci, MR. Using virtual reality in medical education to teach empathy. J Med Libr Assoc JMLA 2018;106:498–500. https://doi.org/10.5195/jmla.2018.518.Search in Google Scholar PubMed PubMed Central

13. Smalls, BL, Lacy, ME, Adegboyega, A, Hieronymus, L, Bacha, N, Nathoo, T, et al.. A new look at barriers to clinical care among Appalachian residents living with diabetes. Diabetes Spectr Publ Am Diabetes Assoc. 2023;36:14–22. https://doi.org/10.2337/ds22-0001.Search in Google Scholar PubMed PubMed Central

14. Flores, D, House, M, Pearson, J, Stuart, D. Health literacy and social determinants of health. Southwest Respir Crit Care Chron 2023;11:26–32. https://doi.org/10.12746/swrccc.v11i47.1169.Search in Google Scholar

15. Smalls, B, Adegboyega, A, Combs, E, Travis, EW, De La Barra, F, Williams, LB, et al.. Evaluating the association between depressive symptoms and glycemic control among residents of rural Appalachia. J Appalach Health 2023;4:41. https://doi.org/10.13023/jah.0403.03.Search in Google Scholar PubMed PubMed Central

16. Love, M, Williams, ER, Bowditch, J. Uses and considerations for cinematic virtual reality in health care. J Diabetes Sci Technol 2023;17:1154–9. https://doi.org/10.1177/19322968231179730.Search in Google Scholar PubMed PubMed Central

17. Anderson, RM, Donnelly, MB, Dedrick, RF. Measuring the attitudes of patients towards diabetes and its treatment. Patient Educ Couns 1990;16:231–45. https://doi.org/10.1016/0738-3991(90)90072-s.Search in Google Scholar PubMed

18. Hojat, M, Mangione, S, Nasca, TJ, Cohen, MJM, Gonnella, JS, Erdmann, JB, et al.. The Jefferson scale of physician empathy: development and preliminary psychometric data. Educ Psychol Meas 2001;61:349–65. https://doi.org/10.1177/00131640121971158.Search in Google Scholar

19. Lucas Molitor, W, Ikiugu, M, Stade, L, Wardian, J. Validating the assessing student competence and knowledge of social determinants of health (ASCK-SDH) instrument. J Occup Ther Educ JOTE 2023;7. https://doi.org/10.26681/jote.2023.070203. https://encompass.eku.edu/jote/vol7/iss2/3.Search in Google Scholar

20. Reynolds, JG, Hyde, MJ, Beverly, E, Wardian, JL. Physician assistant student attitudes and empathy following virtual immersion. J Allied Health 2023;52:e123–6.Search in Google Scholar


Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/jom-2023-0281).


Received: 2024-02-13
Accepted: 2025-04-24
Published Online: 2025-06-12

© 2025 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Downloaded on 15.3.2026 from https://www.degruyterbrill.com/document/doi/10.1515/jom-2023-0281/html
Scroll to top button