Marguerite Daus

Dr. Marguerite Daus


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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26 June 2018 in Journal of Advanced Nursing
Verified
Journal Article
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BRBarbara Riegel
Barbara Riegel
Claudio BarbaranelliClaudio Barbaranelli
Claudio Barbaranelli
KSKristen A. Sethares
Kristen A. Sethares
MDMarguerite Daus
Marguerite Daus
DMDebra K. Moser
Debra K. Moser
TJTiny Jaarsma
Tiny Jaarsma

26 September 2019 in International Journal of Nursing Studies
Verified
Journal Article
Closed access
Maddalena De MariaMaddalena De Maria
Maddalena De Maria
MMMaria Matarese
Maria Matarese
ASAnna E. Strömberg
Anna E. Strömberg
DADavide Ausili
Davide Ausili
EVErcole Vellone
Ercole Vellone
Claudio BarbaranelliClaudio Barbaranelli
Claudio Barbaranelli

1 May 2019 in Heart & Lung
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Journal Article
Closed access
BRBarbara Riegel
Barbara Riegel
SLSolim Lee
Solim Lee
JHJulia Hill
Julia Hill
MDMarguerite Daus
Marguerite Daus
FBFoster Osei Baah
Foster Osei Baah
GKGeorge J. Knafl
George J. Knafl

11 March 2020 in The Journal for Nurse Practitioners
Verified
Journal Article
Closed access
JCJ Margo Brooks Carthon
J Margo Brooks Carthon
HBHeather Brom
Heather Brom
LPLusine Poghosyan
Lusine Poghosyan
MDMarguerite Daus
Marguerite Daus
BTBarbara Todd
Barbara Todd
LALinda Aiken
Linda Aiken

15 September 2021 in Nursing Research
Verified
Journal Article
Closed access
JCJ Margo Brooks Carthon
J Margo Brooks Carthon
HBHeather Brom
Heather Brom
MMMatthew McHugh
Matthew McHugh
MDMarguerite Daus
Marguerite Daus
RFRachel French
Rachel French
LALinda H. Aiken
Linda H. Aiken
Background: 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. Objectives: 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. Methods: 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. Results: Our sample included 98,150 ischemic stroke patients (87% White, 13% Black). Thirty-day readmission rates were 10.4% (12.7% for Black patients, 10.0% for White patients). In models accounting for hospital and patient characteristics, the odds of 30-day readmissions were higher for Black than White patients. A significant interaction was found between race and nurse staffing, with Black patients experiencing higher odds of 30- and 7-day readmissions for each additional patient cared for by a nurse. In the best-staffed hospitals (less than three patients per nurse), Black and White stroke patients’ disparities were no longer significant. Discussion: Disparities in readmissions between Black and White stroke patients may be linked to the level of nurse staffing in the hospitals where they receive care. Tailoring nurse staffing levels to meet the needs of Black ischemic stroke patients represents a promising intervention to address systemic inequities linked to readmission disparities among minority stroke patients.

26 September 2023 in Nursing Research
Verified
Journal Article
Closed access
MDMarguerite Daus
Marguerite Daus
MMMatthew D. McHugh
Matthew D. McHugh
AKAnn Kutney-Lee
Ann Kutney-Lee
JCJ Margo Brooks Carthon
J Margo Brooks Carthon
Background: Readmissions following hospitalization for common surgical procedures are prevalent among older adults and are disproportionally experienced by Hispanic patients. One potential explanation for these disparities is that Hispanic patients may receive care in hospitals with lower-quality nursing care. Objectives: The objective of this study was to evaluate the relationship between the hospital-level work environment of nurses and hospital readmissions among older Hispanic patients. Methods: Using linked data sources from 2014 to 2016, we conducted a cross-sectional analysis of 522 hospitals and 732,035 general, orthopedic, and vascular surgical patients (80,978 Hispanic patients and 651,057 non-Hispanic White patients) in four states. Multivariable logistic regression models were employed to determine the relationship between the work environment and older Hispanic patient readmissions at multiple time periods (7, 30, and 90 days). Results: In final adjusted models that included an interaction between work environment and ethnicity, an increase in the quality of the work environment resulted in a decrease in the odds of readmission that was greater for older Hispanic surgical patients at all time periods. Specifically, an increase in three of the five work environment subscales (Nurse Participation in Hospital Affairs, Nursing Foundations for Quality of Care, and Staffing and Resource Adequacy) was associated with a reduction in the odds of readmission that was greater for Hispanic patients than their non-Hispanic White counterparts. Discussion: System-level investments in the work environment may reduce Hispanic patient readmission disparities. This study’s findings may be used to inform the development of targeted interventions to prevent hospital readmissions for Hispanic patients.