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Record 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 on OpenAlexaff

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsProvidence Health Care
Fundersnot available
KeywordsBurnoutLogistic regressionEmotional exhaustionAffect (linguistics)PridePsychological resilienceDepersonalizationDisease

Abstract

fetched live from 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.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.059
GPT teacher head0.445
Teacher spread0.387 · 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 designObservational
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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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