Evidence map›Paper›PMID 40126450›Full record

ArticleJournal of applied gerontology : the official journal of the Southern Gerontological Society2026

Care Aides Compassion Fatigue, Burnout, and Compassion Satisfaction Related to Long-Term Care (LTC) Working Environment.

Ashikur Rahman, Yinfei Duan, Holly Symonds-Brown, Jordana Salma, Carole A Estabrooks

Abstract read
In one paragraph

Article in Journal of applied gerontology : the official journal of the Southern Gerontological Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ashikur RahmanFaculty of Nursing, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0002-5092-1452
Yinfei DuanFaculty of Nursing, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0003-2720-5359
Holly Symonds-BrownFaculty of Nursing, University of Alberta, Edmonton, AB, Canada.
Jordana SalmaFaculty of Nursing, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0002-4199-7738
Carole A EstabrooksFaculty of Nursing, University of Alberta, Edmonton, AB, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe staff shortages, sustained stress, low compassion satisfaction, high compassion fatigue, and serious levels of burnout among healthcare workers were frequently reported during COVID-19. In this cross-sectional study with 760 care aides working in 28 LTC homes in Alberta, Canada, we used a two-level multilevel regression model to examine how working environments were associated with compassion fatigue, burnout, and compassion satisfaction measured with the Professional Quality of Life (ProQOL-9) scale. Our findings showed that higher compassion satisfaction and lower burnout were observed when care aides perceived a more supportive working culture. Care aides reported higher compassion fatigue when there was a lack of structural or staffing resources. We also found that perceptions of not having enough staff or enough time to complete tasks were significantly associated with higher levels of burnout. These findings suggest which elements of the working environment may be promising targets for improvement efforts.

Indexed as

Burnout, ProfessionalCompassion FatigueCOVID-19Job SatisfactionLong-Term CareNursing AssistantsWorkplaceAdultAlbertaCross-Sectional StudiesEmpathyFemaleHumansMaleMiddle AgedNursing Homesburnoutcare aidescompassion fatiguecompassion satisfactionCOVID-19long-term care

Identifiers

PMID40126450
PMCPMC12681364

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.