Michael P Cary, Jennie C De Gagne, Elaine D Kauschinger, Brigit M Carter
Advancing Health Equity Through Artificial Intelligence: An Educational Framework for Preparing Nurses in Clinical Practice and Research
Creative nursing
health personnel key players developing improving healthcare systems caring individuals communities helping improve quality life however professionals often exposed long working hours pressing need services potentially time day long working hours endure major risk factor acute chronic health problems present study aimed analyze occurrences long working hours association individual characteristics employment factors among workers municipal healthcare system belo horizonte brazil crosssectional study ramdomly selected proportional sample 1549 participants analyzed among total 13 602 workers belo horizonte municipal healthcare system 2009 long working hours defined 44 hweek selfadministered questionnaire used accumulating data associations outcomes estimated using logistic regression univariate multivariate models rate occurrence long working hours 314 95 ci 291337 lower educational level high school technical uncompleted undergraduate 060 95 ci 047078 p 0001 elementary 033 95 ci 019055 p 0001 associated lower likelihood selfreporting long working hours relation group highest educational level completed undergraduate postgraduate male sex 162 95 ci 126209 p 0001 children pr 154 95 ci 120197 p 0001 healthcare provider group 182 95 ci 140235 p 0001 factors associated greater likelihood long working hours observed number long weekly working hours related individual characteristics employment factors