Cited by 13Social Media in Health EducationPharmacy and Medical PracticesInnovations in Medical Education

Graduating student pharmacists’ perspectives on e-professionalism and social media: Qualitative findings

Ness, Genevieve Lynn, Sheehan, Amy Heck, Snyder, Margie E.·2014·Journal of the American Pharmacists Association

Abstract

OBJECTIVE To characterize students' views and opinions of professionalism on popular social media sites and compare responses about social media behavior among students in different groups. DESIGN Cross-sectional survey. SETTING Four colleges of pharmacy in midwestern United States. PARTICIPANTS 516 graduating student pharmacists. INTERVENTIONS Online survey with open-ended questions. MAIN OUTCOME MEASURES Qualitative analysis of responses and themes. RESULTS A total of 212 student pharmacists completed surveys (41% response rate). Mean (± SD) age was 25.2 ± 4.6 years, and 72% of respondents were women. Major overarching themes identified in the qualitative analysis were separation of personal and professional lives, how accountability for actions should vary by severity, and the extent of representation of the students' character on social media. CONCLUSION Identified themes provided important insights into the ways in which student pharmacists view social media and use this widely accessible means of personal communication.

Integrity signals

Registry

Crossref · 10.1331/japha.2014.13188

Cites

15 of 15 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

  • Potential damage to professional image has been depicted by students as concerns about repercussions of their posts on career development or future employment, since employers are checking social media profiles of candidates.

    “Potential damage to the professional image has been depicted by students as concerns about repercussions of their posts on career development or future employment, since employers are checking SM profiles of candidates [43, 45, 51, 56, 57, 59, 66, 68, 70].”
  • Breaches of patient privacy were a concern for many different types of health care professionals.

    “Breaches of patient privacy was a concern for many different types of HCPs [34,43,47,57,91,94,97,107,111,119].”
  • Loosening accountability is a danger to e-professionalism from two points of view: eroding public trust by providing poor quality of information on social media and damaging the professional image.

    “According to some studies in this review, loosening accountability can be seen as a danger to e-professionalism from two points of view: eroding public trust by providing poor quality of information on SM [39,106,117] and damaging to the professional image [43, 45, 51, 56, 57, 59, 64, 66, 68, 70, 73, 102, 106, 112].”
  • Students are concerned about the extent of representation of their character on social media; they edit profiles before interviews or career fairs or intend to review or modify their profiles when they become qualified.

    “Students are concerned about the extent of representation of the students’ character on SM; they edit profiles before interviews or career fairs [57,70] or intend to review or modify their profiles when they become qualified [45,51].”
  • Loosening accountability is a danger to e-professionalism from two points of view: eroding public trust by providing poor quality information on social media and damage to professional image.

    “According to some studies in this review, loosening accountability can be seen as a danger on e-professionalism from two points of view, eroding public trust by providing poor quality of information on SM [39,106,117] and damage to professional image [43, 45, 51, 56, 57, 59, 64, 66, 68, 70, 73, 102, 106, 112].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ness, G. L., Sheehan, A. H., & Snyder, M. E.
Affiliations
  • United States Food and Drug Administration (US)
  • Purdue University in Indianapolis (US)
Corresponding author
Ness, Genevieve Lynn
Venue
Journal of the American Pharmacists Association
Publisher
Elsevier BV
Published
2014-03
Volume
54
Issue
2
Pages
138-143
ISSN
1544-3191 (ISSN-L)
OpenAlex
W2065237031
Cited by
13
References
15
Citations by year
2024: 1 · 2023: 5 · 2022: 2 · 2021: 2 · 2017: 1 · 2015: 1 · 2014: 1
FWCI
1.27
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of the American Pharmacists Association (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Agency for Healthcare Research and Quality (K08HS022119)
  • National Center for Research Resources (KL2RR025760)
Topics
  • Social Sciences › Health › Social Media in Health Education
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacy and Medical Practices
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
Keywords
e-professionalism, social media, pharmacy students, professionalism, accountability, online representation
MeSH terms
Adult, Attitude of Health Personnel, Communication, Cross-Sectional Studies, Data Collection, Female, Humans, Male, Pharmacists, Students, Pharmacy, United States, Internet, 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