Cited by 25Innovations in Medical EducationSocial Media in Health EducationEmpathy and Medical Education

Learning medical professionalism – the application of appreciative inquiry and social media

Open access
Hsieh, Jyh-Gang, Kuo, Li-Chuan, Wang, Ying-Wei·2019·Medical Education Online

Abstract

BACKGROUND: Medical professionalism is often considered difficult to be clearly observed and learned. However, although most medical students or residents affirm the necessity of medical professionalism courses, few agree that those currently offered are adequate for a medical career. OBJECTIVE: To develop a curriculum for teaching professionalism by enabling students to share positive examples of professionalism in social media that reflects the authentic experience in clinical environment. DESIGN: Between October 2015 and June 2017, the authors developed a clerkship program to teach professionalism with the support of social media and appreciative inquiry. Medical students were required to write posts on the positive behaviors they observed during clinical practice in the Facebook group. Other students and course instructors commented or responded to the posted content. The content on Facebook analyzed by course instructors and was based on the definition of medical professionalism according to the 18 attributes proposed by Cruess et al. Results: In total, 103 medical students in their first clinical year participated and posted 435 records of role model learning in the Facebook group. The majority of students learned the most when the clinical instructors were passionate about their teaching and guidance in medical expertise; this accounted for 23.0% of all role model behaviors. Other attributes of professionalism that students appreciated most were being caring and compassionate (17.2%), competence (9.6%), openness (8.8%), and presence (7.7%). More than 90% of the students reported enjoying this type of course and would like to integrate their learning experiences into future behavior. CONCLUSIONS: This innovative training program was well accepted in the formal curriculum and the predesigned social media environment. Appreciative inquiry for medical professionalism should be integrated into the organizational culture and the culture of social media interaction.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1080/10872981.2019.1586507

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In 4 studies including medical students, educational interventions were positively accepted by students and showed a positive impact on the way they view themselves and their use of social media.

    “In 4 studies that included medical students as participants [46,48,60,63], educational interventions were positively accepted by students and showed a positive impact on the way they view themselves and their use of SM.”

    From Dangers and Benefits of Social Media on E-Professionalism of Health Care Professionals: Scoping Review (2021) · cites this paper as [63]

    The Results (page unavailable) report that more than 90% of the 103 medical students enjoyed the Facebook-based course and that students believed they had attained professional growth. The Discussion describes students using social media to discuss positive clinical behaviors after the course, but does not establish a broader positive change in how they use social media. This paper is one study, not evidence for the findings of all four cited studies. (LLM, conf=0.82)

    Experimental — accuracy not yet measured
  • Effectiveness of educational interventions about e-professionalism or impact of existing social media policies has been recognized in this review, since numerous studies explored educational interventions for promoting e-professionalism.

    “Effectiveness of educational interventions about e-professionalism or impact of existing SM policies has been recognized in this review, since numerous studies explored educational interventions for promoting e-professionalism [46,48,52,54,55,60,63,81,89,103].”

    From Dangers and Benefits of Social Media on E-Professionalism of Health Care Professionals: Scoping Review (2021) · cites this paper as [63]

    The Discussion describes a Facebook-based course teaching medical professionalism, and the Results report that more than 90% of students enjoyed it. This supports citing the paper as an example of a social-media-supported educational intervention, but its focus was professionalism in clinical practice, not specifically e-professionalism; it did not evaluate social media policies. (LLM, conf=0.84)

    Experimental — accuracy not yet measured
  • Of the survey studies, only about one-third had a response rate of 50% or greater, and 9 studies did not explicitly report a response rate.

    “Of these survey studies, only about one-third had a response rate of 50% or greater, and 9 studies did not explicitly report a response rate [39,53,60,63,65,67,72,75,96].”
  • Hsieh et al's study demonstrates the possibility of how social media can be used as a learning platform for professionalism, enabling students a virtual space in which to share positive examples that reflect the authentic experience in a clinical environment.

    “Hsieh et al’s [63] study demonstrates the possibility of how SM can be used as a learning platform for professionalism, enabling students a virtual space in which to share positive examples that reflect the authentic experience in a clinical environment.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Hsieh, J.-G., Kuo, L.-C., & Wang, Y.-W.
Affiliations
Tzu Chi University (TW)
Corresponding author
Wang, Ying-Wei
Venue
Medical Education Online
Published
2019-01-01
Volume
24
Issue
1
Pages
1586507
ISSN
1087-2981 (ISSN-L)
OpenAlex
W2922018352
Cited by
25
References
28
Citations by year
2025: 1 · 2024: 6 · 2023: 4 · 2022: 4 · 2021: 5 · 2020: 3 · 2019: 2
FWCI
3.22
Type
journal article
Language
en
Open access
Locations
  • Medical Education Online (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
Tzu Chi University
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
  • Social Sciences › Health › Social Media in Health Education
  • Health Sciences › Medicine › Psychiatry and Mental health › Empathy and Medical Education
Keywords
medical professionalism, appreciative inquiry, social media, Facebook, professionalism curriculum, role models, clinical rotations, medical students, clinical instructors, organizational culture
MeSH terms
Professionalism, Adult, Empathy, Female, Humans, Interpersonal Relations, Learning, Male, Professional Competence, Students, Medical, Writing, Young Adult, Social Media

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review