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Financial and job strain levels by job category–bivariate a..:

Andrea Norcini Pala (14241491) ; Jessica C. Chuang (14241494) ; Ai Chien (14241497)...
https://figshare.com/articles/dataset/Financial_and_job_strain_levels_by_job_category_bivariate_analysis_/21704636. , 2022

Link: https://doi.org/10.1371/journal.pone.0276861.t002

RT Journal
T1 <Title>Financial and job strain levels by job category–bivariate analysis</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivfreestate:oai:figshare.com:article_21704636&Exemplar=1&LAN=DE
				
A1 Andrea Norcini Pala (14241491)
A1 Jessica C. Chuang (14241494)
A1 Ai Chien (14241497)
A1 David M. Krauth (14241500)
A1 Stefano A. Leitner (14241503)
A1 Nnenna M. Okoye (14241506)
A1 Sadie C. Costello (14241509)
A1 Robert M. Rodriguez (7586561)
A1 Lila A. Sheira (14241512)
A1 Gina Solomon (14241515)
A1 Sheri D. Weiser (8599800)
YR 2022
K1 Medicine
K1 Biotechnology
K1 Cancer
K1 Science Policy
K1 Mental Health
K1 various occupational roles
K1 urban county hospital
K1 found significant disparities
K1 13 &# 8211
K1 reported lower levels
K1 less job autonomy
K1 xlink "> nurses
K1 address financial support
K1 xlink ">
K1 supervisory support
K1 significantly lower
K1 whether financial
K1 job strain
K1 job characteristics
K1 financial strain
K1 study objective
K1 screening positive
K1 screen positive
K1 pharmacy workers
K1 performed logistic
K1 include non
K1 complete tasks
K1 clinical staff
K1 august 2020
K1 asked questions
K1 aor 2
K1 anonymous survey
K1 adverse impact
K1 administrative workers
K1 48 )
JF https://figshare.com/articles/dataset/Financial_and_job_strain_levels_by_job_category_bivariate_analysis_/21704636
LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0276861.t002
DO https://doi.org/10.1371/journal.pone.0276861.t002
SF ELIB - SuUB Bremen

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