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JMIR Medical Education
Article . 2023 . Peer-reviewed
Data sources: Crossref
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JMIR Medical Education
Article . 2023
Data sources: DOAJ
https://doi.org/10.2196/prepri...
Article . 2022 . Peer-reviewed
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Evaluating Change in Student Pharmacists’ Familiarity, Attitudes, Comfort, and Knowledge as a Result of Integrating Digital Health Topics Into a Case Conference Series: Cohort Study

Authors: Julia C Darnell; Mimi Lou; Lisa W Goldstone;

Evaluating Change in Student Pharmacists’ Familiarity, Attitudes, Comfort, and Knowledge as a Result of Integrating Digital Health Topics Into a Case Conference Series: Cohort Study

Abstract

Background The use of technology in health care, often referred to as digital health, has expanded rapidly because of the need to provide remote care during the COVID-19 pandemic. In light of this rapid boom, it is clear that health care professionals need to be trained in these technologies in order to provide high-level care. Despite the growing number of technologies used across health care, digital health is not a commonly taught topic in health care curricula. Several pharmacy organizations have called attention to the need to teach digital health to student pharmacists; however, there is currently no consensus on best methods to do so. Objective The objective of this study was to determine if there was a significant change in student pharmacist scores on the Digital Health Familiarity, Attitudes, Comfort, and Knowledge Scale (DH-FACKS) after exposure to digital health topics in a yearlong discussion–based case conference series. Methods Student pharmacists’ initial comfort, attitudes, and knowledge were gathered by a baseline DH-FACKS score at the beginning of the fall semester. Digital health concepts were integrated into a number of cases in the case conference course series throughout the academic year. The DH-FACKS was administered again to students after completion of the spring semester. Results were matched, scored, and analyzed to assess any difference in DH-FACKS scores. Results A total of 91 of 373 students completed both the pre- and postsurvey (response rate of 24%). Using a scale from 1 to 10, the mean student-reported knowledge of digital health increased from 4.5 (SD 2.5) before intervention to 6.6 (SD 1.6) after intervention (P<.001) and the mean self-reported comfort increased from 4.7 (SD 2.5) before intervention to 6.7 (SD 1.8) after intervention (P<.001). There was a significant increase in scores for all 4 elements of the DH-FACKS. The mean familiarity scores increased from 11.6 (SD 3.7) to 15.8 (SD 2.2), out of a maximum of 20 (P<.001). The mean attitudes scores increased from 15.6 (SD 2.1) to 16.5 (SD 1.9), out of a maximum of 20 (P=.001). The mean comfort scores increased from 10.1 (SD 3.9) to 14.8 (SD 3.1), out of a maximum of 20 (P<.001). The mean knowledge scores increased from 9.9 (SD 3.4) to 12.8 (SD 3.9), out of a maximum of 20 (P<.001). Conclusions Including digital health topics in a case conference series is an effective and approachable way of providing education on important digital health concepts to students. Students experienced an increase in familiarity, attitudes, comfort, and knowledge after the yearlong intervention. As case-based discussions are an important component of most pharmacy and other medical curricula, this method can be easily applied by other programs that wish to give their students practice applying their knowledge of digital health to complex case-based scenarios.

Keywords

Medicine (General), Original Paper, R5-920, LC8-6691, Special aspects of education

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Top 10%
Green
gold