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Enregistrement W7108446833 · doi:10.1182/blood-2025-831

Burnout in sickle cell disease-focused hematology-oncology trained providers: A national cross-sectional study

2025· article· en· W7108446833 sur OpenAlexaff

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineHealth Professions
ThématiqueHealthcare professionals’ stress and burnout
Établissements canadiensProvidence Health Care
Organismes subventionnairesnon disponible
Mots-clésBurnoutLogistic regressionEmotional exhaustionAffect (linguistics)PridePsychological resilienceDepersonalizationDisease

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Burnout is defined by emotional exhaustion, depersonalization, and reduced personal accomplishment. It affects roughly half of physicians in the United States (U.S.), leading to physician turnover, decreased productivity, and increased risk for medical errors. Burnout has been shown to affect approximately ⅓ of the U.S. hematology-oncology workforce. Burnout in U.S. hematology-oncology (Hem-Onc) trained sickle cell disease (SCD) focused providers has not been previously explored. SCD-focused providers contend with complex clinical care, high patient acuity, systemic barriers, and limited disease-modifying therapies, potentially elevating burnout risk. In our study we sought to examine the prevalence of burnout in SCD-focused providers compared to general Hem-Onc providers, hypothesizing higher burnout among SCD-focused providers. We also explored the contribution of work and personal characteristics to burnout and compared these factors between the two cohorts. Methods: We conducted a nationwide cross-sectional survey of U.S. Hem-Onc trained physicians (adult and pediatric) between September and November 2024. Respondents self-identified as SCD-focused (n = 55) or non–SCD-focused (n = 104). Burnout was measured using a validated single-item instrument (score ≥ 3 indicates burnout). We also assessed grit (Short Grit Scale, 1–5) and resilience (CD-RISC2, 0–8). In addition, other characteristics were captured including demographics, workplace characteristics (income, sense of pride in one's job, work hours, etc.) and personal characteristics (recreational activity, support system, etc). Between-group comparisons used Chi-square or Fisher's exact tests for categorical variables and t-tests or Mann–Whitney U tests for continuous variables. A bivariable logistic regression model tested for the association of recreation frequency and sense of pride and burnout in SCD-focused providers. Results: Of 159 respondents, burnout prevalence was higher among SCD-focused providers compared with non-SCD focused (60% vs 44%; p = 0.046). There was no difference in grit (median 3.4 vs 3.5; p = 0.23) or resilience (median 6 vs 6; p = 0.26) between the two groups. SCD-focused providers participated in less recreational activity per week (27% vs 51%; p = 0.006). SCD-focused providers were less likely to strongly agree with the statement “I feel a sense of pride in my job,” (47% vs 65%; p = 0.031). Other notable differences were that SCD-focused providers were more likely to practice in an academic center (89% vs 74%; p = 0.026), hold an administrative/leadership role (36% vs 16%; p = 0.004), and report a lower income (< $350,000: 64% vs 40%; p = 0.005) despite having more years in practice (> 5 years: 81% vs 63%; p = 0.016). There was no significant difference in number of hours worked per week or working during personal time. In an exploratory analysis, we found recreation and a sense of pride in one’s work to be independent negative predictors of burnout (p<0.001). In a two-variable logistic regression model, recreation and sense of pride attenuated burnout in SCD providers, indicating both as potential mediators. Conclusions: Our findings show that SCD-focused providers report higher burnout compared to non-SCD providers. However, recreational time and a sense of pride in one's job are likely mediators to burnout in SCD-focused providers. This suggests that the higher burnout rates observed in SCD-focused providers are likely driven by external systemic factors that disproportionately affect those who care for persons with SCD. The absence of difference in grit and resilience between groups further supports this conclusion. Exploratory analysis revealed that work and personal factors may contribute to this. SCD-focused providers may be concentrated in roles or systems that lead to less recreational time and expose them to increased risk for burnout. This includes caring for a complex and high-acuity population that has been historically marginalized with limited resources at the healthcare system and both state and federal government levels. Further quantitative and qualitative studies are warranted to understand factors that contribute to or are protective of burnout, and minimize burnout to strengthen the SCD workforce.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,008
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,059
Tête enseignante GPT0,445
Écart entre enseignants0,387 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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