MétaCan
Menu
Back to cohort
Record W4281569307 · doi:10.1186/s12995-022-00352-4

Trends in burnout and psychological distress in hospital staff over 12 months of the COVID-19 pandemic: a prospective longitudinal survey

2022· article· en· W4281569307 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Occupational Medicine and Toxicology · 2022
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsPublic Health OntarioLunenfeld-Tanenbaum Research InstituteSinai Health SystemSunnybrook Health Science CentreCentre for Addiction and Mental HealthUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsBurnoutMedicineEmotional exhaustionOccupational burnoutPandemicDistressLongitudinal studyProspective cohort studyMental healthHealth careEmotional distressOccupational stressDemographyPsychiatryClinical psychologyCoronavirus disease 2019 (COVID-19)AnxietyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The mental health effects of healthcare work during the COVID-19 pandemic have been substantial, but it is not known how long they will persist. This study aimed to determine if hospital workers' burnout and psychological distress increased monotonically over 1 year, during which waves of case numbers and hospitalizations waxed and waned, or followed some other pattern. METHODS: A prospective longitudinal survey was conducted at four time-points over 1 year in a cohort of 538 hospital workers and learners, which included validated measures of burnout (emotional exhaustion scale of Maslach Burnout Inventory) and psychological distress (K6). Repeated measures ANOVA tested changes over time and differences between subjects by occupational role, age and ethnic group. The direction and magnitude of changes over time were investigated by plotting rates of high scores (using cut-offs) at each time-point compared to case rates of COVID-19 in the city in which the study took place. RESULTS: There were significant effects of occupational role (F = 11.2, p < .001) and age (F = 12.8, p < .001) on emotional exhaustion. The rate of high burnout was highest in nurses, followed by other healthcare professionals, other clinical staff, and lowest in non-clinical staff. Peak rates of high burnout occurred at the second or third measurement point for each occupational group, with lower rates at the fourth measurement point. Similarly to the results for emotional exhaustion, rates of high psychological distress peaked at the spring 2021 measurement point for most occupational groups and were higher in nurses than in other healthcare professionals. CONCLUSIONS: Neither emotional exhaustion nor psychological distress was rising monotonically. Burnout and psychological distress were consistently related to occupational role and were highest in nurses. Although emotional exhaustion improved as the case rate of COVID-19 decreased, rates of high emotional exhaustion in nurses and other healthcare professionals remained higher than was typically measured in hospital-based healthcare workers prior to the pandemic. Ongoing monitoring of healthcare workers' mental health is warranted. Organizational and individual interventions to support healthcare workers continue to be important.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.004
Threshold uncertainty score0.932

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.168
GPT teacher head0.481
Teacher spread0.313 · 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