Background: There is increasing recognition that lower nurse staffing levels are associated with higher morbidity and mortality among medical and surgical patients. The degree to which this applies to elderly patients with hip fractures is unclear.
Questions/purposes: We conducted a pilot study using administrative data as an initial step in investigating the relationship between nurse staffing levels and in-hospital mortality among elderly patients with hip fractures.
Patients And Methods: We retrospectively reviewed administrative data for 13,343 patients 65 years or older with a primary diagnosis of hip fracture admitted to 39 Michigan hospitals between 2003 and 2006. We used logistic regression to calculate the change in predicted probability of in-hospital death conferred by differences in the hospitals' overall number of full-time equivalent registered nursing staff (FTE-RN) per patient day. Regression models controlled for patient age, gender, and comorbid conditions; hospital characteristics including teaching status, hip fracture volume, and income/racial composition of the hospital's zip code; and seasonal influenza.
Results: We found an association between hospital-wide nurse staffing levels and in-hospital mortality among patients with hip fractures. The odds of in-hospital mortality decreased by 0.16 for every additional FTE-RN added per patient day, even after controlling for covariates. This association suggests the absolute risk of mortality increases by 0.35 percentage points for every one unit decrease of FTE-RN per patient day, a 16% increase in the risk of death.
Conclusions: Decreased hospital-wide nurse staffing levels are associated with increased in-hospital mortality among patients admitted with hip fractures. These observations indicate the need for further studies to characterize this relationship for staffing of units caring for patients with hip fractures.
Level Of Evidence: Level III, prognostic study. See Guidelines for Authors for a complete description of levels of evidence.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3171549 | PMC |
http://dx.doi.org/10.1007/s11999-011-1917-8 | DOI Listing |
Aim: To synthesise how ED crowding contributes to patient-initiated violence against emergency nurses.
Design: Framework synthesis.
Data Sources: A systematic literature search was conducted in the PubMed, PsycINFO, CINAHL and Scopus databases, covering articles up to 21 March 2024.
Trauma Surg Acute Care Open
January 2025
Division of Healthcare Engineering, Department of Radiation Oncology, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Background: Burnout negatively impacts healthcare professionals' well-being, leading to an increased risk of human errors and patient harm. There are limited assessments of burnout and associated stressors among acute care and trauma surgery teams.
Methods: Acute care and trauma surgery team members at a US academic medical center were administered a survey that included a 2-item Maslach Burnout Inventory and 21 workplace stressors based on the National Academy of Medicine's systems model of clinician burnout and professional well-being.
Introduction: Job satisfaction and intention to leave have been consistently linked to the working environment. However, there are few studies of interventions for improving the environment or staff outcomes.
Aim: To determine the impact of implementing a framework for safe nurse staffing on the environment and staff outcomes.
BMC Nurs
January 2025
Department of Nursing, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Background: The nursing profession plays a crucial role in the quality of healthcare services. While nurses face occupational injury challenges globally, mental workload, which is often overlooked, plays a significant role in these injuries. Understanding nurses' coping strategies can help develop effective interventions.
View Article and Find Full Text PDFJ Nurs Adm
February 2025
Author Affiliations: Assistant Professor (Dr House), University of North Carolina Greensboro School of Nursing; Assistant Professor (Dr Palazzolo), Truman State University Health and Exercise Science Department, Kirlsville, Missouri; Chief, Center for Nursing Science and Clinical Inquiry (Dr Stucky), Landstuhl, Germany; Instructor (Dr Campbell), Weber State University Annie Taylor Dee School of Nursing, Ogden, Utah; Clinical Nurse Specialist (Williams), Eglin Air Force Base Hospital, Eglin, Florida; PhD Student (Langerman), University of North Carolina Greensboro School of Nursing.
Objective: To determine if professional roles and demographic characteristics predict relational coordination (RC) among healthcare professionals in the ICU.
Background: Race, age, and sex diversity are increasing in the medical and nursing workforce, raising questions regarding how well healthcare professionals are collaborating. RC is a validated model for coordinating interdependent work among healthcare professionals.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!