Labor and Delivery Nurse Staffing as a Cost-Effective Safety Intervention

2010 ◽  
Vol 24 (4) ◽  
pp. 312-319 ◽  
Author(s):  
Barbara L. Wilson ◽  
Mary Blegen
2010 ◽  
Vol 66 (6) ◽  
pp. 1291-1296 ◽  
Author(s):  
Koen Van den Heede ◽  
Steven Simoens ◽  
Luwis Diya ◽  
Emmanuel Lesaffre ◽  
Arthur Vleugels ◽  
...  

Medical Care ◽  
2005 ◽  
Vol 43 (8) ◽  
pp. 785-791 ◽  
Author(s):  
Michael B. Rothberg ◽  
Ivo Abraham ◽  
Peter K. Lindenauer ◽  
David N. Rose

2020 ◽  
Author(s):  
Peter Griffiths ◽  
Christina Saville ◽  
Jane E Ball ◽  
Jeremy Jones ◽  
Thomas Monks

AbstractBackgroundIn the face of pressure to contain costs and make best use of scarce nurses, flexible staff deployment (floating staff between units and temporary hires) guided by a patient classification system may appear an efficient approach to meeting variable demand for care in hospitals.ObjectivesWe modelled the cost-effectiveness of different approaches to planning baseline numbers of nurses to roster on general medical/surgical units while using flexible staff to respond to fluctuating demand.Design and SettingWe developed an agent-based simulation model, where units move between being understaffed, adequately staffed or overstaffed as staff supply and demand, measured by the Safer Nursing Care Tool, varies. Staffing shortfalls are addressed firstly by floating staff from overstaffed units, secondly by hiring temporary staff. We compared a standard staffing plan (baseline rosters set to match average demand) with a ‘resilient’ plan set to match higher demand, and a ‘flexible’ plan, set at a lower level. We varied assumptions about temporary staff availability. We estimated the effect of unresolved low staffing on length of stay and death, calculating cost per life saved.ResultsStaffing plans with higher baseline rosters led to higher costs but improved outcomes. Cost savings from low baseline staff largely arose because shifts were left under staffed. Cost effectiveness for higher baseline staff was improved with high temporary staff availability. With limited temporary staff available, the resilient staffing plan (higher baseline staff) cost £9,506 per life saved compared to the standard plan. The standard plan cost £13,967 per life saved compared to the flexible (low baseline) plan. With unlimited temporary staff, the resilient staffing plan cost £5,524 per life saved compared to the standard plan and the standard plan cost £946 per life saved compared with the flexible plan. Cost-effectiveness of higher baseline staffing was more favourable when negative effects of high temporary staffing were modelled.ConclusionFlexible staffing can be guided by shift-by-shift measurement of patient demand, but proper attention must be given to ensure that the baseline number of staff rostered is sufficient.In the face of staff shortages, low baseline staff rosters with high use of flexible staff on hospital wards is not an efficient or effective use of nurses whereas high baseline rosters may be cost-effective. Flexible staffing plans that minimise the number of nurses routinely rostered are likely to harm patients because temporary staff may not be available at short notice.Study registration: ISRCTN 12307968Tweetable abstractEconomic model of hospital wards shows low baseline staff levels with high use of flexible staff are not cost-effective and don’t solve nursing shortages].What is already known?Because nursing is the largest staff group, accounting for a significant proportion of hospital’s variable costs, ward nurse staffing is frequently the target of cost containment measuresStaffing decisions need to address both the baseline staff establishment to roster, and how best to respond to fluctuating demand as patient census and care needs varyFlexible deployment of staff, including floating staff and using temporary hires, has the potential to minimise expenditure while meeting varying patient need, but high use of temporary staff may be associated with adverse outcomes.What this paper addsOur simulation shows that low baseline staff rosters that rely heavily on flexible staff increase the risk of patient death and provide cost savings largely because wards are often left short staffed under real world availability of temporary staff.A staffing plan set to meet average demand appears to be cost effective compared to a plan with a lower baseline but is still associated with frequent short staffing despite the use of flexible deployments.A staffing plan with a higher baseline, set to meet demand 90% of the time, is more resilient in the face of variation and may be highly cost effective


2010 ◽  
Vol 34 (3) ◽  
pp. 312 ◽  
Author(s):  
Di Twigg ◽  
Christine Duffield ◽  
Peter L. Thompson ◽  
Pat Rapley

Context.Workforce projections indicate that by 2012 there will be a shortfall of 61 000 registered nurses in Australia. There is a growing body of evidence that links registered nurse staffing to better patient outcomes. Purpose.This article provides a comprehensive review of the research linking nurse staffing to patient outcomes at a time of growing shortages, highlighting that a policy response based on substituting registered nurses with lower skilled workers may have adverse effects on patient outcomes. Method.An electronic search of articles published in English using the Cumulative Index to Nursing and Allied Health Literature (CINAHL), Journals @ OVID and Medline was undertaken. Findings.Robust evidence exists nationally and internationally that links nurse staffing to patient outcomes. Recent meta-analyses have found that there was a 3–12% reduction in adverse outcomes and a 16% reduction in the risk of mortality in surgical patients with higher registered nurse staffing. Evidence confirms that improvements in nurse staffing is a cost-effective investment for the health system but this is not fully appreciated by health policy advisors. Conclusions.An appropriate policy response demands that the evidence that patient safety is linked to nurse staffing be recognised. Policy makers must ensure there are sufficient registered nurses to guarantee patient safety. What is known about the topic?Projections indicate that by 2012 there will be an estimated shortfall of 61 000 registered nurses in Australia. However, research demonstrates the number of registered nurses caring for patients is critically important to prevent adverse patient outcomes. Evidence also confirms that improvements in nurse staffing is a cost-effective investment for the health system. What this paper adds?The paper exposes the lack of an appropriate policy response to the evidence in regard to nurse staffing and patient outcomes. It argues that patient safety must be recognised as a shared responsibility between policy makers and the nursing profession. What are the implications for practitioners?Policy makers, health departments, Chief Executives and Nurse Leaders need to ensure that adequate nurse staffing includes a high proportion of registered nurses to prevent adverse patient outcomes.


2020 ◽  
Vol 37 (10) ◽  
pp. 1031-1037 ◽  
Author(s):  
Leah M. Savitsky ◽  
Catherine M. Albright

Objective The health care system has been struggling to find the optimal way to protect patients and staff from coronavirus disease 2019 (COVID-19). Our objective was to evaluate the impact of two strategies on transmission of COVID-19 to health care workers (HCW) on labor and delivery (L&D). Study Design We developed a decision analytic model comparing universal COVID-19 screening and universal PPE on L&D. Probabilities and costs were derived from the literature. We used individual models to evaluate different scenarios including spontaneous labor, induced labor, and planned cesarean delivery (CD). The primary outcome was the cost to prevent COVID-19 infection in one HCW. A cost-effectiveness threshold was set at $25,000 to prevent a single infection in an HCW. Results In the base case using a COVID-19 prevalence of 0.36% (the rate in the United States at the time), universal screening is the preferred strategy because while universal PPE is more effective at preventing COVID-19 transmission, it is also more costly, costing $4,175,229 and $3,413,251 to prevent one infection in the setting of spontaneous and induced labor, respectively. For planned CD, universal PPE is cost saving. The model is sensitive to variations in the prevalence of COVID-19 and the cost of PPE. Universal PPE becomes cost-effective at a COVID-19 prevalence of 34.3 and 29.5% and at a PPE cost of $512.62 and $463.20 for spontaneous and induced labor, respectively. At a higher cost-effectiveness threshold, the prevalence of COVID-19 can be lower for universal PPE to become cost-effective. Conclusion Universal COVID-19 screening is generally the preferred option. However, in locations with high COVID-19 prevalence or where the local societal cost of one HCW being unavailable is the highest such as in rural areas, universal PPE may be cost-effective and preferred. This model may help to provide guidance regarding allocation of resources on L&D during these current and future pandemics. Key Points


2020 ◽  
Vol 8 (16) ◽  
pp. 1-162 ◽  
Author(s):  
Peter Griffiths ◽  
Christina Saville ◽  
Jane E Ball ◽  
Rosemary Chable ◽  
Andrew Dimech ◽  
...  

Background The Safer Nursing Care Tool is a system designed to guide decisions about nurse staffing requirements on hospital wards, in particular the number of nurses to employ (establishment). The Safer Nursing Care Tool is widely used in English hospitals but there is a lack of evidence about how effective and cost-effective nurse staffing tools are at providing the staffing levels needed for safe and quality patient care. Objectives To determine whether or not the Safer Nursing Care Tool corresponds to professional judgement, to assess a range of options for using the Safer Nursing Care Tool and to model the costs and consequences of various ward staffing policies based on Safer Nursing Care Tool acuity/dependency measure. Design This was an observational study on medical/surgical wards in four NHS hospital trusts using regression, computer simulations and economic modelling. We compared the effects and costs of a ‘high’ establishment (set to meet demand on 90% of days), the ‘standard’ (mean-based) establishment and a ‘flexible (low)’ establishment (80% of the mean) providing a core staff group that would be sufficient on days of low demand, with flexible staff re-deployed/hired to meet fluctuations in demand. Setting Medical/surgical wards in four NHS hospital trusts. Main outcome measures The main outcome measures were professional judgement of staffing adequacy and reports of omissions in care, shifts staffed more than 15% below the measured requirement, cost per patient-day and cost per life saved. Data sources The data sources were hospital administrative systems, staff reports and national reference costs. Results In total, 81 wards participated (85% response rate), with data linking Safer Nursing Care Tool ratings and staffing levels for 26,362 wards × days (96% response rate). According to Safer Nursing Care Tool measures, 26% of all ward-days were understaffed by ≥ 15%. Nurses reported that they had enough staff to provide quality care on 78% of shifts. When using the Safer Nursing Care Tool to set establishments, on average 60 days of observation would be needed for a 95% confidence interval spanning 1 whole-time equivalent either side of the mean. Staffing levels below the daily requirement estimated using the Safer Nursing Care Tool were associated with lower odds of nurses reporting ‘enough staff for quality’ and more reports of missed nursing care. However, the relationship was effectively linear, with staffing above the recommended level associated with further improvements. In simulation experiments, ‘flexible (low)’ establishments led to high rates of understaffing and adverse outcomes, even when temporary staff were readily available. Cost savings were small when high temporary staff availability was assumed. ‘High’ establishments were associated with substantial reductions in understaffing and improved outcomes but higher costs, although, under most assumptions, the cost per life saved was considerably less than £30,000. Limitations This was an observational study. Outcomes of staffing establishments are simulated. Conclusions Understanding the effect on wards of variability of workload is important when planning staffing levels. The Safer Nursing Care Tool correlates with professional judgement but does not identify optimal staffing levels. Employing more permanent staff than recommended by the Safer Nursing Care Tool guidelines, meeting demand most days, could be cost-effective. Apparent cost savings from ‘flexible (low)’ establishments are achieved largely by below-adequate staffing. Cost savings are eroded under the conditions of high temporary staff availability that are required to make such policies function. Future work Research is needed to identify cut-off points for required staffing. Prospective studies measuring patient outcomes and comparing the results of different systems are feasible. Trial registration Current Controlled Trials ISRCTN12307968. Funding This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 8, No. 16. See the NIHR Journals Library website for further project information.


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