Are Landstuhl Regional Medical Center's Nurse Staffing Levels Predictors to Negative Patient Outcomes?

2002 ◽  
Author(s):  
David A. Johnson
Keyword(s):  
Patient Outcomes ◽  
Nurse Staffing ◽  
Negative Patient ◽  
Staffing Levels ◽  
Regional Medical

The Association of Registered Nurse Staffing Levels and Patient Outcomes

Medical Care ◽  
2007 ◽  
Vol 45 (12) ◽  
pp. 1195-1204 ◽  
Author(s):  
Robert L. Kane ◽  
Tatyana A. Shamliyan ◽  
Christine Mueller ◽  
Sue Duval ◽  
Timothy J. Wilt
Keyword(s):  
Patient Outcomes ◽  
Registered Nurse ◽  
Nurse Staffing ◽  
Staffing Levels

scholarly journals The effect of nurse-to-patient ratios on nurse-sensitive patient outcomes in acute specialist units: a systematic review and meta-analysis

2017 ◽  
Vol 17 (1) ◽  
pp. 6-22 ◽  
Author(s):  
Andrea Driscoll ◽  
Maria J Grant ◽  
Diane Carroll ◽  
Sally Dalton ◽  
Christi Deaton ◽  
...  
Keyword(s):  
Systematic Review ◽  
Patient Outcomes ◽  
Meta Analysis ◽  
Nurse Staffing ◽  
Administrative Databases ◽  
Inhospital Mortality ◽  
Staffing Level ◽  
Cross Sectional ◽  
Staffing Levels ◽  
Number Of Patients

Background: Nurses are pivotal in the provision of high quality care in acute hospitals. However, the optimal dosing of the number of nurses caring for patients remains elusive. In light of this, an updated review of the evidence on the effect of nurse staffing levels on patient outcomes is required. Aim: To undertake a systematic review and meta-analysis examining the association between nurse staffing levels and nurse-sensitive patient outcomes in acute specialist units. Methods: Nine electronic databases were searched for English articles published between 2006 and 2017. The primary outcomes were nurse-sensitive patient outcomes. Results: Of 3429 unique articles identified, 35 met the inclusion criteria. All were cross-sectional and the majority utilised large administrative databases. Higher staffing levels were associated with reduced mortality, medication errors, ulcers, restraint use, infections, pneumonia, higher aspirin use and a greater number of patients receiving percutaneous coronary intervention within 90 minutes. A meta-analysis involving 175,755 patients, from six studies, admitted to the intensive care unit and/or cardiac/cardiothoracic units showed that a higher nurse staffing level decreased the risk of inhospital mortality by 14% (0.86, 95% confidence interval 0.79–0.94). However, the meta-analysis also showed high heterogeneity (I2=86%). Conclusion: Nurse-to-patient ratios influence many patient outcomes, most markedly inhospital mortality. More studies need to be conducted on the association of nurse-to-patient ratios with nurse-sensitive patient outcomes to offset the paucity and weaknesses of research in this area. This would provide further evidence for recommendations of optimal nurse-to-patient ratios in acute specialist units.

scholarly journals The impact of nurse staffing levels on nursing-sensitive patient outcomes: a multilevel regression approach

2021 ◽  
Author(s):  
Karina Dietermann ◽  
Vera Winter ◽  
Udo Schneider ◽  
Jonas Schreyögg
Keyword(s):  
Patient Outcomes ◽  
Nurse Staffing ◽  
Large Set ◽  
Multilevel Regression ◽  
Cross Sectional ◽  
Data Set ◽  
Staffing Levels ◽  
Regression Approach ◽  
Clinical Complexity ◽  
The Impact

AbstractThe goal of this study is to provide empirical evidence of the impact of nurse staffing levels on seven nursing-sensitive patient outcomes (NSPOs) at the hospital unit level. Combining a very large set of claims data from a German health insurer with mandatory quality reports published by every hospital in Germany, our data set comprises approximately 3.2 million hospital stays in more than 900 hospitals over a period of 5 years. Accounting for the grouping structure of our data (i.e., patients grouped in unit types), we estimate cross-sectional, two-level generalized linear mixed models (GLMMs) with inpatient cases at level 1 and units types (e.g., internal medicine, geriatrics) at level 2. Our regressions yield 32 significant results in the expected direction. We find that differentiating between unit types using a multilevel regression approach and including postdischarge NSPOs adds important insights to our understanding of the relationship between nurse staffing levels and NSPOs. Extending our main model by categorizing inpatient cases according to their clinical complexity, we are able to rule out hidden effects beyond the level of unit types.

Nurse Staffing Levels Make a Difference on Patient Outcomes: A Multisite Study in Chinese Hospitals

2012 ◽  
Vol 44 (3) ◽  
pp. 266-273 ◽  
Author(s):  
Xiao-wen Zhu ◽  
Li-ming You ◽  
Jing Zheng ◽  
Ke Liu ◽  
Jin-bo Fang ◽  
...  
Keyword(s):  
Patient Outcomes ◽  
Nurse Staffing ◽  
Staffing Levels

Intermediate Care Units: A Survey of Organization Practices Across the United States

2018 ◽  
Vol 35 (5) ◽  
pp. 468-471 ◽  
Author(s):  
Blair Wendlandt ◽  
Thomas Bice ◽  
Shannon Carson ◽  
Lydia Chang
Keyword(s):  
Patient Outcomes ◽  
Care Setting ◽  
Nurse Staffing ◽  
The United States ◽  
Surgical Patients ◽  
Intermediate Care ◽  
Staffing Levels ◽  
Utilization Patterns ◽  
Step Down ◽  
The Impact

Purpose: Intermediate care units (IMCUs) represent an alternative care setting with nurse staffing levels between those of the general ward and the intensive care unit (ICU). Despite rising prevalence, little is known about IMCU practices across US hospitals. The purpose of this study is to characterize utilization patterns and assess for variation. Materials and Methods: A 14-item survey was distributed to a random nationwide sample of pulmonary and critical care physicians between January and April 2017. Results: A total of 51 physicians from 24 different states completed the survey. Each response represented a unique institution, the majority of which were public (59%), academic (73%), and contained at least 1 IMCU (65%). Of the IMCUs surveyed, 58% operated as 1 mixed unit that admitted medical, cardiac, and surgical patients as opposed to having separate subspecialty units. Ninety-one percent of units admitted step-down patients from the ICU, but 39% of units accepted a mix of step-up patients, step-down patients, postoperative patients, and patients from the emergency department. Intensivists managed care in 21% of units whereas 36% had no intensivist involvement. Conclusion: Organization practices vary considerably between IMCUs across institutions. The impact of different organization practices on patient outcomes should be assessed.

scholarly journals Midwifery and nurse staffing of inpatient maternity services : a systematic scoping review of associations with outcomes and quality of care

2021 ◽  
Author(s):  
Lesley Y Turner ◽  
Peter Griffiths ◽  
Ellen Kitson-Reynolds
Keyword(s):  
Quality Of Care ◽  
Cohort Studies ◽  
Patient Outcomes ◽  
Nurse Staffing ◽  
Service Planning ◽  
Cochrane Library ◽  
Controlled Trials ◽  
Cross Sectional ◽  
Staffing Levels

Objective To undertake a scoping literature review of studies examining the quantitative association between staffing levels and outcomes for mothers, neonates, and staff. The purpose was to understand the strength of the available evidence, the direction of effects, and to highlight gaps for future research. Data Sources Systematic searches were conducted in Medline (Ovid), Embase (Ovid), CINAHL (EBCSCO), Cochrane Library, TRIP, Web of Science and Scopus. Study Selection and Review methods To be eligible, staffing levels had to be quantified for in-patient settings, such as ante-natal, labour/delivery or post-natal care. Staff groups include registered midwives, nurse midwives or equivalent, and assistant staff working under the supervision of registered professionals. Studies of the quality of care, patient outcomes and staff outcomes were included. All quantitative designs were included, including controlled trials, time series, cross-sectional, cohort studies and case controlled studies. Data were extracted and sources of bias identified by considering the study design, measurement of exposure and outcomes, and risk adjustment. Studies were grouped by outcome noting the direction and significance of effects. Results The search yielded a total of 3280 records and 21 studies were included in this review. There were three randomised controlled trials, eleven cohort studies, one case control study and six cross sectional studies. Seventeen were multicentre studies and nine of them had over 30,000 participants. Reduced incidence of epidural use, augmentation, perineal damage at birth, postpartum haemorrhage, maternal readmission, and neonatal resuscitation were associated with increased midwifery staff. Few studies have suggested a negative impact of increasing staffing rates, although a number of studies have found no significant differences in outcomes. Impact on the mode of birth were unclear. Increasing midwifery support staff was not associated with improved patient outcomes. No studies were found on the impact of low staffing levels for the midwifery workforce. Conclusions and Implications for practice Although there is some evidence that higher midwifery staffing is associated with improved outcomes, current research is insufficient to inform service planning. Studies mainly reported outcomes relating to labour, highlighting a gap in research evidence for the antenatal and postnatal periods. Further studies are needed to assess the costs and consequences of variations in maternity staffing, including the deployment of maternity care assistants and other staff groups. Keywords Midwife ; Nurse; Staffing; Workload; Workforce planning; Patient safety

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