biostudies-literatureCarthon JMBNINR NIH HHSNIMHD NIH HHS33-42https://www.ebi.ac.uk/biostudies/studies/S-EPMC8732296biostudies-literatureUnknown71(1)<h4>Background</h4>Racial minorities are disproportionately affected by stroke, with Black patients experiencing worse poststroke outcomes than White patients. A modifiable aspect of acute stroke care delivery not yet examined is whether disparities in stroke outcomes are related to hospital nurse staffing levels.<h4>Objectives</h4>The aim of this study was to determine whether 7- and 30-day readmission disparities between Black and White patients were associated with nurse staffing levels.<h4>Methods</h4>We conducted a secondary analysis of 542 hospitals in four states. Risk-adjusted, logistic regression models were used to determine the association of nurse staffing with 7- and 30-day all-cause readmissions for Black and White ischemic stroke patients.<h4>Results</h4>Our sample included Nursing researchRacial Disparities in Stroke Readmissions Reduced in Hospitals With Better Nurse Staffing.PMC8732296R01 NR014855R01 MD011518R01 NR016002T32 NR007104McHugh MFrench RSloane DMMerchant RAiken LHCarthon JMBBrom HBerg RDaus MfalseRacial Disparities in Stroke Readmissions Reduced in Hospitals With Better Nurse Staffing.<h4>Background</h4>Racial minorities are disproportionately affected by stroke, with Black patients experiencing worse poststroke outcomes than White patients. A modifiable aspect of acute stroke care delivery not yet examined is whether disparities in stroke outcomes are related to hospital nurse staffing levels.<h4>Objectives</h4>The aim of this study was to determine whether 7- and 30-day readmission disparities between Black and White patients were associated with nurse staffing levels.<h4>Methods</h4>We conducted a secondary analysis of 542 hospitals in four states. Risk-adjusted, logistic regression models were used to determine the association of nurse staffing with 7- and 30-day all-cause readmissions for Black and White ischemic stroke patients.<h4>Results</h4>Our sample included 2022-01-01T00:00:00Z2022 Jan-Feb 012025-04-21T15:49:17.063Z2025-04-21T15:49:17.063ZS-EPMC87322963453418510.1097/NNR.000000000000055210.1097/nnr.0000000000000552