Avera eCARE: Medical Student Education in Telemedicine

Kelly Rhone1, Jennifer Lindgren2, Luke J. Mack3, Morgan E. Nelson4, Lindsay Spencer5, Susan M. Anderson6

Affiliations: 1Medical Director, Outreach and Innovation, Avera eCARE, Sioux Falls, South Dakota, and Assistant Professor, University of South Dakota, Sanford School of Medicine, Vermillion, South Dakota; 2Graduate Research Assistant, Avera eCARE, Sioux Falls, South Dakota; 3Manager, Research and Quality, Avera eCARE, Sioux Falls, South Dakota; 4Biostatistician, Avera Research Institute, Sioux Falls, South Dakota; University of South Dakota, Sanford School of Medicine, Sioux Falls, South Dakota; 5Coordinator, Research Program, Avera eCARE, Sioux Falls, South Dakota; 6Dean, Rural Medicine, University of South Dakota, Sanford School of Medicine, Sioux Falls, South Dakota

Corresponding Author: Kelly Rhone, MD FACEP, Avera eCARE 4500 N Lewis Ave Sioux Falls, South Dakota, USA, 57104, Email: kelly.rhone@avera.org

Keywords: Avera, eCARE, Rural Communities, Telemedicine Education, Telemedicine Services, Urban Communities

Section: Original Research

The purpose of this research is to explore medical students’ knowledge of and interest in telemedicine services in urban and rural communities. In the past, medical students reported feeling unprepared to use telemedicine and uninformed about laws regarding telemedicine usage following graduation. However, they also reported that telemedicine training is relevant and important for their future work.

Methods: Study participants included medical students taking part in a 2-day telemedicine education program in 2018 and 2019. The first day included a faculty seminar where students were introduced to telemedicine by experts in telemedicine innovations. The second day was a simulation (SIM) day where medical students completed a rotation at the Avera eCARE virtual hospital hub. A survey was given prior to the faculty seminar and readministered following the SIM day. Questions were asked about telemedicine knowledge, curriculum, and willingness to practice via telemedicine.

Results: Chi-square analysis was used to look for associations pre/post by year. Both years showed an increase in favorable responses for questions to telemedicine training and education. For analyses by topic area, we created clusters of questions to build scores. T-tests were used to look for associations pre/post by year. The analysis resulted in three topic areas to build scores. Both years showed a significant increase in Rating of Overall Knowledge and Interest in Curriculum and Utilization. There was no significant difference in Willingness to Practice.

Conclusions: Results show notable differences in how students perceive and understand telemedicine after structured exposure to telemedicine services. Furthermore, this study demonstrates students’ need for and interest in more telemedicine training opportunities in their curriculum. There was no significant difference in the willingness to practice in rural settings. Future studies may focus on how telemedicine training is perceived by those more willing to work in rural communities.

 

The terms telehealth and telemedicine are often interchangeable, both referring to the use of remote healthcare technology to deliver clinical services.1 In 1996, the Institute of Medicine (IOM) released a report that defined telemedicine as “the use of electronic information and communications technologies to provide and support healthcare when distance separates the participants.”2

The application of telemedicine and telehealth has grown considerably since 1996. In 2012, the Health Resources and Services Administration (HRSA) sponsored the IOM to evaluate the evolution of telemedicine.3 Through this work, telemedicine is more commonly defined as “the use of medical information exchanged from one site to another via electronic communications to improve patients’ health status.”1,3 The percentage of US hospitals fully or partially implementing computerized telehealth systems increased from 35% in 2010 to 76% in 2017.4

With a continued increase in telemedicine use by hospitals and physicians, it is vital for tomorrow’s physicians to be properly trained on when and how to use telemedicine effectively. To do this, telemedicine competencies must be incorporated into medical education.

The push to add telemedicine competencies to medical training is supported and encouraged by the American Medical Association (AMA). In 2016, the AMA publicly adopted a policy aimed at ensuring medical students and residents are properly educated on the use of telemedicine in clinical practice. In addition, the AMA has awarded over 12.5 million USD (11.6 million EUR) in grants to medical schools to develop innovative curricula that can eventually be implemented across the country.5

Today’s medical students are the first generation of “digital natives”—those who grew up surrounded by digital technology.6 While growing up with technology increases one’s comfort and willingness to use new or existing technology, formal training is still necessary to provide high-quality medical care through telemedicine or other forms of healthcare technology. Integrating telemedicine into the medical school curriculum allows medical students to learn and personally experience similarities and differences, as well as advantages and limitations of telemedicine and traditional medicine. To provide proper video consultation via telemedicine, medical students must learn appropriate bedside and “webside” manner.7 Incorporating telemedicine into standardized medical training ensures that future physicians have the ability and confidence to use it in their practice.

Telemedicine exposure in medical training varies across the United States, ranging from required clinical rotations, to voluntary electives, to competitive fellowships. An annual survey conducted by the Association of American Medical Colleges revealed that the number of allopathic degree-granting medical schools in the United States, which included telemedicine in either a required or an elective course, increased from 57 (41%) during the 2013–2014 academic year to 88 (60%) during the 2017–2018 academic year.8

Falling into the current 60% are a handful of highly ranked medical schools. Harvard Medical School, Boston, offers a telemedicine elective for third- and fourth-year medical students and 3–6 months of telemedicine training for psychiatry and dermatology residents. George Washington University School of Medicine & Health Sciences, Washington, DC, offers a 2-year telemedicine fellowship in emergency medicine. NYU School of Medicine and Weill Cornell Medical College, New York City, also offers telemedicine electives. The overarching goals of the telemedicine curriculum in these schools allow students to learn the history and progress of telehealth; observe and participate in the use of telehealth for patient care; and understand the advantages, limitations, and potential applications of telemedicine for the future of healthcare.7,912

In the past, medical students reported feeling unprepared to use telemedicine and uninformed about laws regarding telemedicine use following graduation. However, they also reported that telemedicine training is relevant and important for their future work.13 The purpose of this project is to explore medical student knowledge of and interest in telemedicine services in rural and urban communities before and after participating in a telemedicine education program.

METHODS

Participants

Almost all of the first-year medical students from the University of South Dakota Sanford School of Medicine, Vermillion, participated in this study, which was conducted in the spring of 2018 with the medical school class of 2021 and again in 2019 with the medical school classes of 2022.

There were 66 and 63 participants in 2018 and 2019, respectively. Participants included first-year medical students taking part in a 2-day telemedicine education program. Demographics of the 2021 and 2022 medical school classes are presented in Table 1. The class demographics provided by the University of South Dakota Sanford School of Medicine present class size for given year and gender. They classified rural areas in categories based on medical student’s home communities with populations less than 10,000 and 30,000, respectively.14 We kept these categories to maintain consistency with the School of Medicine report. Participation in the study was voluntary, with no compensation.

Table 1 Class demographics provided by the University of South Dakota Sanford School of Medicinea,b

Class (%)
Demographics 2021 2022
Class size (N) 64 66
Males 38 (59) 40 (60)
Females 26 (41) 26 (40)
Rural <10,000 27 (42) 25 (38)
Rural <30,000 38 (59) 39 (60)

aDemographics are presented as n (%) of each class. bDue to matriculation, class size numbers may vary slightly.

MATERIALS

Survey questions created by Avera eCARE inquired about telemedicine knowledge, curriculum, and willingness to practice via telemedicine. Answers to survey questions consisted of four different 5-point Likert scales in addition to one seven-item response to assess population size that participants would prefer for their practice (Table 2).

Table 2 Likert scale for survey questions

Likert scale
1 2 3 4 5
Poor Fair Average Good Excellent
Well below average Below average Average Above average Well above average
Not interested Slightly interested Somewhat interested Interested Very interested
Not willing Slightly willing Neutral Willing Very willing

The original survey was adjusted before the 2019 event to add four additional questions: two questions using a 5-point Likert scale and two open-response questions regarding personal reasons for wanting and not wanting to work with telemedicine in the future.

Procedure

Informed consent containing information about procedures, risks, benefits, duration, confidentiality, compensation, voluntary participation, and the purpose of the study was agreed to by the participants. In addition, contact information for the researchers was included in the consent form.

Participants received a paper-based survey prior to and immediately following the telemedicine education program in 2018 and 2019. Participants were asked to answer each question as it relates to their own experiences and interests. After completing the presurvey, participants attended a didactic session on the past, current, and future utilization of telemedicine.

Day 2 of the program occurred 1 week after day 1 in 2019 and 4 months after day 1 in 2018 due to unavoidable weather. During the second day, participants returned to Avera eCARE for a tele-emergency simulation session.

First-year medical students took an active role in caring for a simulated patient by having a subject expert in a remote site to guide them through procedures, including intraosseous line placement, video laryngoscopy, intubation, needle thoracostomy, and chest tube placement via telemedicine technology. Participants engaged in informational sessions in various telemedicine specialties. These telemedicine specialties included, but not limited to, emergency medicine, intensive care, and senior care. Following the simulation, participants completed the postsurvey. Members of the research team were present when participants filled out the pre- and postsurvey.

Analysis

All analyses were conducted in SAS 9.4 software. Differences in responses were analyzed pre/post by year for each question asked and by topic area. Analyses were done separately by year because there were differences in response to some questions. For analyses of each question, the Likert scales were merged into binary responses. For questions with five responses (Q1–5, 7–10), responses 1–3 and 4–5 were merged, respectively. For the question with seven responses (Q6), responses 1–4 and 5–7 were merged, respectively. Chi-square analysis was used to look for associations pre/post by year.

For analyses by topic area, PROC VARCLUS procedure within Statistical Analysis System 9.4 (SAS 9.4) was first used to find clusters of questions to build scores. Questions 1–5 and 7–8 were entered into this analysis. Q6 was excluded due to the difference in question type. Q9–10 were excluded as they were only asked in 2019. The analysis resulted in three topic areas to build scores. Q1–3 form the Rating of Overall Knowledge score, Q4–5 form Interest in Curriculum and Utilization score, and Q7–8 form Willingness to Practice score. The five-item questions for each score were added together to build each score. The max scores are 15, 10, and 10 respectively. T-tests were to look for associations pre/post by year.

RESULTS

Participants described themselves as 92% and 91% white in the 2021 and 2022 classes, respectively. Males made up 59% of the 2021 class and 60% of the 2022 class.14

Analysis of pre- and postprogram responses for each question by year shows an increase in favorable responses for overall knowledge of telemedicine and overall knowledge of telemedicine compared with medical school peers for both 2018 and 2019 (Table 3).

Table 3 Preanalysis and postanalysis for each survey question by yeara

Year
Question 2018 2019
Pre (n = 61) Post (n = 66) p Pre (n = 62) Post (n = 63) p
1. How would you rate your overall knowledge of telemedicine? 8 (13) 57 (86) <0.001 4 (6) 61 (97) <0.001
2. How would you rate your overall knowledge of telemedicine as compared to your medical school peers? 11 (18) 39 (59) <0.001 5 (8) 45 (71) <0.001
3. How would you rate your current medical school training as it relates to current advances and utilization of telemedicine? 2 (3) 41 (62) <0.001 1 (2) 44 (70) <0.001
4. How interested would you be in greater curriculum opportunities within your medical school program focused on current advances and utilization of telemedicine? 32 (52) 49 (74) 0.01 37 (60) 51 (81) 0.01
5. How interested would you be in utilizing telemedicine in future practice? 47 (77) 58 (88) 0.11 46 (74) 57 (90) 0.02
6. Based on population, in what size community would you most like to practice? 29 (50) 33 (51) 0.93 34 (56) 40 (66) 0.27
7. How would you rate your willingness to practice in a rural setting? 31 (52) 23 (35) 0.07 23 (37) 25 (40) 0.77
8. How would you rate your willingness to practice in a rural setting if telemedicine were available to assist with patient care, consultation, etc.? 39 (65) 41 (63) 0.82 27 (44) 30 (48) 0.65
9. How would you rate your willingness to work as a telemedicine provider, offering patient care and/or consultation to a distant location? - - - 36 (58) 45 (71) 0.12
10. How would you rate your willingness of pursuing a specialty that currently utilizes telemedicine? - - - 40 (65) 48 (76) 0.15
11. What is the primary reason you would want to work with telemedicine in the future? - - - - - -
12. What is your greatest hesitation in working with telemedicine in the future? - - - - - -

aSurvey was developed and written by Avera eCARE. Questions 9–12 were added to the survey prior to the 2019 telemedicine education program. Results of the Chi-square analysis per year are presented as n (%) of each pre/post group that responded with 4–5 for Q1–5, 7–10 and responded with 5–7 for Q6.

 

In addition, analyses show a statistically significant increase in favorable responses for current medical training as it relates to telemedicine (p < 0.001, p < 0.001) and interest in greater curriculum opportunities within the medical school program with a focus on telemedicine (p = 0.01, p = 0.01) regarding 2018 and 2019, respectively. The year 2019 also shows an increase in favorable responses for interest in utilizing telemedicine in future practice. It is worth noting that while questions 6–10 do not have a statistically significant difference pre/post, all questions have a high frequency responding favorably to the preprogram survey, thus a large shift would be hard to detect. The results of this analysis are presented in Table 4.

Table 4 Pre/post analysis of scores by year

Score 2018 2019
Pre (n = 61) Post (n = 66) P Pre (n = 62) Post (n = 63) P
Rating of overall knowledge (Q1–3) Max Score = 15 7.4 (±2.11) 11.3 (±1.81) <0.001 6.5 (±2.12) 12.0 (±1.47) <0.001
Interest in curriculum and utilization (Q4–5)
Max Score = 10
7.7 (±1.45) 8.5 (±1.53) 0.003 7.5 (±1.79) 8.5 (±1.49) <0.001
Willingness to practice (Q7–8)
Max Score = 10
7.0 (±1.93) 6.7 (±1.92) 0.45 6.3 (±2.15) 6.6 (±2.08) 0.41

Results of the T-tests of each score are presented as mean (±SD) of each pre/post group.

 

Pre/post analysis of scores by year shows a statistically significant increase in the Rating of Overall Knowledge (p < 0.001, p < 0.001) and Interest in Curriculum and Utilization (p < 0.0028, p = 0.0008) for both 2018 and 2019, respectively. The Interest score increase is not to the same magnitude as the increase in Rating score, but the Interest score was relatively high in the preprogram surveys. There was no statistically significant difference in Willingness to Practice. The results of this analysis are presented in Table 5.

Table 5 Pre/post analysis of scores by year

Scores 2018 2019
Pre (n = 61) Post (n = 66) p-value Pre (n = 62) Post (n = 63) p-value
Rating of overall knowledge (Q1–3) Max Score = 15 7.4 (± 2.11) 11.3 (± 1.81) <0.001 6.5 (± 2.12) 12.0 (± 1.47) <0.001
Interest in curriculum and utilization (Q4–5)
Max Score = 10
7.7 (± 1.45) 8.5 (± 1.53) 0.003 7.5 (± 1.79) 8.5 (± 1.49) <0.001
Willingness to practice (Q7–8) Max Score = 10 7.0 (± 1.93) 6.7 (± 1.92) 0.45 6.3 (± 2.15) 6.6 (± 2.08) 0.41

DISCUSSION

In this study, we utilize pre- and postsurveys to measure the impact of a 2-day telemedicine education program on the knowledge of and interest in telemedicine for first-year medical students. Results show increased knowledge and understanding of telemedicine following the education program. Participants also report increased interest in greater telemedicine opportunities within their medical education. These findings support previous claims that medical students view telemedicine training as both relevant and important for their future.13

Results regarding willingness to use telemedicine either from a rural setting by requesting assistance from a telemedicine hub or providing telemedicine services as a physician at a hub site to a distant site do not show statistically significant differences, but both questions have a high frequency of favorable responses in the presurvey.

Future research on willingness to use telemedicine as a rural provider or practice telemedicine within a hub may be of value as the medical student advances and becomes more specialized within the medical school program. A nationwide increase in use and willingness to use telemedicine in both current and future physicians indicates the importance of incorporating telemedicine into the medical school curriculum and training.15

Participants of this study report increased access to care, more efficient use of time, and improved patient outcomes as primary reasons to work with telemedicine in the future. These results agree with comparable literature on reasons for willingness to utilize telemedicine for practicing physicians.15

Participants also report the importance of being educated on telemedicine and their willingness to learn given that it will better prepare them to practice medicine, indicating a desire from current medical students for integration of telemedicine into their medical training.

There was no statistically significant difference in willingness to practice in rural settings. Future studies may focus on how telemedicine training is perceived by those more willing to work in rural communities. Authors of similar studies encourage further investigation to find the most effective methods for the implementation of a telemedicine curriculum into medical education.13 Future studies may also focus on determining the proportion of medical students in this study who pursue a medical career in rural settings or specialties utilizing telemedicine. Lastly, it may be of interest to repeat this study in another rural or potentially urban medical school for comparability.

Conclusions: Results show notable differences in how students perceive and understand telemedicine after structured exposure to telemedicine services. Furthermore, this study demonstrates students’ need for and interest in more telemedicine training opportunities in their curriculum. There was no significant difference in the willingness to practice in rural settings. Future studies may focus on how telemedicine training is perceived by those more willing to work in rural communities.

Acknowledgments: The authors wish to thank the University of South Dakota Sanford School of Medicine for participation in this study.

Conflict of Interests: The authors report no conflicts of interest.

Contributors: K.R., S.A., L.S., and L.M. made substantial contributions to the conception or design of the work; K.R., S.A., J.L., L.S., and L.M. contributed to the acquisition, K.R., L.M., and M.N. contributed to the analysis and K.R., S.A., M.N., J.L., L.S., and L.M. contributed to the interpretation of data for the work. K.R., S.A., J.L., L.S., M.N., and L.M. contributed to drafting the work or revising it critically for important intellectual content. K.R., S.A., J.L., L.S., M.N., and L.M. contributed to the final approval of the version to be published. K.R., S.A., J.L., L.S., M.N., and L.M. are in agreement to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Funding statement: None

Ethical Approval: This study was approved by the Institutional Review Board of the University of South Dakota as exempt (protocol no. 2018.055).

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