Cited by 31Mindfulness and Compassion InterventionsHealthcare professionals’ stress and burnoutStress and Burnout Research

Impact of Acceptance and Commitment Training on psychological flexibility and burnout in medical education

Szarko, Alison J., Houmanfar, Ramona A., Smith, Gregory S., Jacobs, N. Nicole, Smith, Brooke M., Assemi, Kian, Piasecki, Melissa, Baker, Timothy K.·2022·Journal of Contextual Behavioral Science

Integrity signals

Registry

Crossref · 10.1016/j.jcbs.2022.02.004

Cites

53 of 53 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Cites

Flagged first, then by citations

Authors
Szarko, A. J., Houmanfar, R. A., Smith, G. S., Jacobs, N. N., Smith, B. M., Assemi, K., Piasecki, M., & Baker, T. K.
Affiliations
  • University of Nevada, Reno (US)
  • Western Michigan University (US)
Corresponding author
Szarko, Alison J.
Venue
Journal of Contextual Behavioral Science
Publisher
Elsevier BV
Published
2022-01
Volume
23
Pages
190-199
ISSN
2212-1447 (ISSN-L)
OpenAlex
W4211246794
Cited by
31
References
53
Citations by year
2026: 5 · 2025: 5 · 2024: 12 · 2023: 7 · 2022: 2
FWCI
5.53
Type
journal article
Language
en
Open access
closed
Locations
Journal of Contextual Behavioral Science (publishedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Health Sciences › Health Professions › General Health Professions › Healthcare professionals’ stress and burnout
  • Social Sciences › Psychology › Social Psychology › Stress and Burnout Research
Keywords
acceptance and commitment training, psychological flexibility, burnout, medical students, burnout management, positivity bias, negativity bias, Acceptance and Action Questionnaire-II, Implicit Relational Assessment Procedure, medical curriculum, student distress

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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.

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