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Record W4408062776 · doi:10.1186/s12909-025-06788-6

Transforming narratives of physician identity formation and healing: a longitudinal qualitative study of physicians’ stories about spirituality and medicine, from residency to practice

2025· article· en· W4408062776 on OpenAlexaboutno aff
Gowri Anandarajah, Georgia Sleeth, Meera Mennillo, Achutha Srinivasan

Bibliographic record

VenueBMC Medical Education · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
Fundersnot available
KeywordsBurnoutSpiritualityNarrativeQualitative researchGrounded theoryPsychologyMedicineThematic analysisMedical educationPsychological resilienceNarrative inquiryStorytellingSpiritual careNursingAlternative medicineSocial psychologyClinical psychologySociology

Abstract

fetched live from OpenAlex

BACKGROUND: Concern about burnout has prompted increased attention on fostering physician resilience throughout the educational continuum. Studies indicate that lack of meaning-making and connection (domains of spiritual wellbeing) place physicians at risk for burnout. While evidence support including spiritual care in comprehensive patient care to help patients/families heal from impactful experiences, few studies explore physicians' spiritual wellbeing as they routinely confront suffering and death in their daily work. Storytelling taps into spiritual aspects of human experience. This study, unique in the literature, examined the stories physicians chose to tell about spirituality and medicine over 20-years, from trainee to practicing physician, to explore how these experiences impact professional development and wellbeing. METHODS: Design: Qualitative individual interview study - secondary analysis of a rich dataset of physician interviews, gathered over 20-years beginning in first-year residency, regarding attitudes and approach to spiritual care. For this new study, researchers extracted and analyzed the previously unexplored stories participants spontaneously told during interviews. SETTING: Participants completed the same USA residency program and now practice throughout USA and Canada. PARTICIPANTS: In study-year 1, all residents (PGY1,2,3) participated; response rate (RR) 97%, reflected a diversity of personal beliefs (atheist to religious). Researchers followed the PGY1 class for 20-years (2001-2020), interviewing them in study-years 1, 3, 11 and 20 (RR 100%, 100%, 97%, 54%). DATA COLLECTION: Researchers extracted stories from interview transcripts. ANALYSIS: 4 researchers analyzed 204 stories from 66 interviews with 34 physicians, using grounded theory. RESULTS: Irrespective of personal spiritual beliefs, trainees and practicing physicians told numerous spirituality-related stories. Longitudinal story themes-(1) Dissonance to Integration, (2) Formation and Transformation, and (3) Accidental to Purposeful Healing - reflected physicians' ongoing spiritual journeys as they grappled with meaning, values, purpose, and connection in their daily work. Spiritually impactful moments, whether distressing or uplifting, occurred throughout physicians' careers influencing professional/personal development, resilience and clinical approach. Spiritual practices (religious/secular) and reflection fostered healing for patients/families and physicians. CONCLUSION: Physicians' longitudinal spiritual-care stories provide new insights into their professional/personal development. Reflection on spiritually impactful moments, both distressing and uplifting, may trigger transformative learning towards meaning-making, resilience, burnout prevention and positive physician identity formation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0090.007
Scholarly communication0.0040.005
Open science0.0020.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.065
GPT teacher head0.498
Teacher spread0.432 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

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