The economic benefits of increased levels of nursing care in the hospital setting

Costs and cost-effectiveness of improved nurse staffing levels and skill mix in acute hospitals: A systematic review

BACKGROUND

Extensive research shows associations between increased nurse staffing levels, skill mix and patient outcomes. However, showing that improved staffing levels are linked to improved outcomes is not sufficient to provide a case for increasing them. This review of economic studies in acute hospitals aims to identify costs and consequences associated with different nurse staffing configurations in hospitals.

METHODS

We included economic studies exploring the effect of variation in nurse staffing. We searched PubMed, CINAHL, Embase Econlit, Cochrane library, DARE, NHS EED and the INAHTA website. Risk of bias was assessed using a framework based on the NICE guidance for public health reviews and Henrikson's framework for economic evaluations. Inclusion, data extraction and critical appraisal were undertaken by pairs of reviewers with disagreements resolved by the entire review team. Results were synthesised using a hierarchical matrix to summarise findings of economic evaluations.

RESULTS

We found 23 observational studies conducted in the United States of America (16), Australia, Belgium, China, South Korea, and the United Kingdom (3). Fourteen had high risk of bias and nine moderate. Most studies addressed levels of staffing by RNs and/or licensed practical nurses. Six studies found that increased nurse staffing levels were associated with improved outcomes and reduced or unchanged net costs, but most showed increased costs and outcomes. Studies undertaken outside the USA showed that increased nurse staffing was likely to be cost-effective at a per capita gross domestic product (GDP) threshold or lower. Four studies found that increased skill mix was associated with improved outcomes but increased staff costs. Three studies considering net costs found increased registered nurse skill mix associated with net savings and similar or improved outcomes.

CONCLUSION

Although more evidence on cost-effectiveness is still needed, increases in absolute or relative numbers of registered nurses in general medical and surgical wards have the potential to be highly cost-effective. The preponderance of the evidence suggests that increasing the proportion of registered nurses is associated with improved outcomes and, potentially, reduced net cost. Conversely, policies that lead to a reduction in the proportion of registered nurses in nursing teams could give worse outcomes at increased costs and there is no evidence that such approaches are cost-effective. In an era of registered nurse scarcity, these results favour investment in registered nurse supply as opposed to using lesser qualified staff as substitutes, especially where baseline nurse staffing and skill mix are low.

REGISTRATION

PROSPERO (CRD42021281202).

TWEETABLE ABSTRACT

Increasing registered nurse staffing and skill mix can be a net cost-saving solution to nurse shortages. Contrary to the strong policy push towards a dilution of nursing skill mix, investment in supply of RNs should become the priority.

Postoperative Critical Care Admission Was Not Associated with Improved Postoperative Outcomes in Elective Colorectal Surgery: Secondary Analysis Of POWER Trial

BACKGROUND

The efficacy of routine admission of high-risk patients to a critical care unit after surgery is not clear. The aim of our study was to investigate the association between critical care admission after scheduled colorectal surgery and postoperative complications, 30-day mortality, and length of stay in hospital.

METHODS

A pre-defined secondary substudy of POWER study was performed. POWER study was a prospective multicenter observational study of patients undergoing elective primary colorectal surgery during a single period of two months of recruitment between September and December 2017.

RESULTS

A total of 2084 patients from 80 Spanish hospitals were included, of which 722 (34.6%) were admitted to critical care unit (CCU) after elective surgery. After adjusting for confounding factors in the multivariate analysis, postoperative CCU admission was independently associated with a higher incidence of moderate-to-severe postoperative complications (adjusted OR 1.951, 95% CI 1.570, 2.425; p < 0.001). Regarding secondary outcomes, postoperative critical care admission was independently associated with higher 30-day mortality (adjusted OR 6.736; 95% CI 2.507, 18.101; p < 0.001) and independently associated with an increased hospital length of stay (adjusted OR 1.143, 95% CI 1.112, 1.175; p < 0.001).

CONCLUSIONS

Direct admission to CCU after scheduled colorectal surgery was not associated with a reduction in moderate-to-severe postoperative complications.

Specialized Nurse-led Care of Chronic Wounds During Hospitalization and After Discharge: A Randomized Controlled Trial

OBJECTIVE

To evaluate the effectiveness of specialized nurse-led care of patients with chronic wounds, provided both during hospitalization and postdischarge, on wound healing and readmission rates.

METHODS

An unblinded randomized controlled trial was conducted. Participants were patients with chronic wounds, randomly assigned to either the experimental group (cared for by wound care nurses both during hospitalization and postdischarge) or to the control group (cared for according to standard practice). Wound healing was identified as the primary outcome.

RESULTS

Overall, 1,570 patients were randomized, 1,298 of whom were included in the per-protocol analysis (707 in the experimental group and 591 in the control group). Nurse-led wound care quadrupled the probability of healing and reduced the number of treatment weeks and hospital readmissions.

CONCLUSIONS

Chronic wound care that was entrusted to specialized nurses improved outcomes in terms of wound healing, repair and regeneration, length of treatment, and rate of readmission, compared with standard practice. Future studies should evaluate the impact of care provided by specialized wound care nurses on patients' quality of life and healthcare costs. Nurse managers should promote the implementation of chronic wound clinical-care pathways entrusted to specialized nurses to improve patients' clinical outcomes and reduce hospital readmissions.

Cost-quality tradeoff in nurse staffing: an exploration of USA hospitals facing market competition

Purpose

This research aims to explore the fine-grained relationships between nurse staffing and hospital operational performance with respect to care quality and operating costs. The authors also investigate the moderation effect of competition in local hospital markets on these relationships.

Design/methodology/approach

A six-year panel data is assembled from five separate sources to obtain information of 2,524 USA hospitals. Fixed-effect (FE) models are used to test the proposed hypotheses.

Findings

First, nurse staffing is initially associated with improved care quality until nurse staffing reaches a turning point, beyond which nurse staffing is associated with worse care quality. Second, a similar pattern applies to the relationship between nurse staffing and operating costs, although the turning point is at a much lower nurse staffing level. Third, market competition moderates the relationship between nurse staffing and care quality so that the turning point of nurse staffing will be higher when the degree of competition is higher. This shift of turning point is also observed in the relationship between nurse staffing and operating costs.

Practical implications

The study identifies three ranges of nurse staffing in which hospitals will likely experience simultaneous improvements, a tradeoff or simultaneous decline of care quality and operating costs when investing in more nursing capacity. Hospitals should adjust nurse staffing levels to the right directions to achieve better care or reduce operating costs.

Originality/value

Nurses constitute the largest provider group in hospitals and profoundly impact care quality and operating costs among all health care professionals. Optimizing the level of nurse staffing, therefore, can significantly impact the care quality and operating costs of hospitals.

Cost-Effectiveness Analysis of Improving Nurses' Education Level in the Context of In-Hospital Mortality

(1) Background: an assessment of the cost-effectiveness of employing an increased number of nurses with higher education from the perspective of the service provider. (2) Methods: Based on a year-long study results and data collected from a large hospital, we conducted of the costs of preventing one death. The study involved intervention by 10% increase in the percentage of nursing care hours provided by nurses with higher education. The measure of health effects was the cost of avoiding one death (CER). The cost-effectiveness analysis (CEA) was used as the evaluation method. (3) Results: The cost of employing a larger percentage of nurses with higher education amounts to a total of amounts to a USD 11,730.62 an increase of 3.02% as compared to the base costs. The estimated number of deaths that could be prevented was 44 deaths. Mortality per 1000 patient days was 9.42, mortality after intervention was 8.41. The cost of preventing one death by the 10% increase in BSN/MSN NCH percentage in non-surgical wards USD 263.92. (4) Conclusions: increasing the percentage of care hours provided by nurses with tertiary education is a cost-effective method of reducing in-hospital mortality.

Estimating the economic cost of nurse sensitive adverse events amongst patients in medical and surgical settings

AIMS

To identify the costs associated with nurse sensitive adverse events and the impact of these events on patients' length of stay.

DESIGN

Retrospective cohort study using administrative hospital data.

METHODS

Data were sourced from patient discharge information (N = 5544) from six acute wards within three hospitals (July 2016-October 2017). A retrospective patient record review was undertaken by extracting data from the hospitals' administrative systems on inpatient discharges, length of stay and diagnoses; eleven adverse events sensitive to nurse staffing were identified within the administrative system. A negative binomial regression is employed to assess the impact of nurse sensitive adverse events on length of stay.

RESULTS

Sixteen per cent of the sample (n = 897) had at least one nurse sensitive adverse event during their episode of care. The model revealed when age, gender, admission type and complexity are controlled for, each additional nurse sensitive adverse event experienced by a patient was associated with an increase in the length of stay beyond the national average by 0.48 days (p = .001). Applying this to the daily average cost of inpatient stay per patient (€1456), we estimate the average cost associated with each nurse sensitive adverse event to be €694. Extrapolating this nationally, the economic cost of nurse sensitive adverse events to the health service in Ireland is estimated to be €91.3 million annually.

CONCLUSION

These potentially avoidable events are associated with a significant economic burden to health systems. The estimates provided here can be used to inform and prepare the way for future economic evaluations of nurse staffing initiatives that aim to improve care and safety.

IMPACT

As many of these nurse sensitive adverse events are avoidable, in addition to patient benefits, there is a potential substantial financial return on investment from strategies such as improved nurse staffing that can reduce their occurrence.

The Safer Nursing Care Tool as a guide to nurse staffing requirements on hospital wards: observational and modelling study

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 inHealth Services and Delivery Research; Vol. 8, No. 16. See the NIHR Journals Library website for further project information.

Nursing workload, nurse staffing methodologies and tools: A systematic scoping review and discussion

Background

The importance of nurse staffing levels in acute hospital wards is widely recognised but evidence for tools to determine staffing requirements although extensive, has been reported to be weak. Building on a review of reviews undertaken in 2014, we set out to give an overview of the major approaches to assessing nurse staffing requirements and identify recent evidence in order to address unanswered questions including the accuracy and effectiveness of tools.

Methods

We undertook a systematic scoping review. Searches of Medline, the Cochrane Library and CINAHL were used to identify recent primary research, which was reviewed in the context of conclusions from existing reviews.

Results

The published literature is extensive and describes a variety of uses for tools including establishment setting, daily deployment and retrospective review. There are a variety of approaches including professional judgement, simple volume-based methods (such as patient-to-nurse ratios), patient prototype/classification and timed-task approaches. Tools generally attempt to match staffing to a mean average demand or time requirement despite evidence of skewed demand distributions. The largest group of recent studies reported the evaluation of (mainly new) tools and systems, but provides little evidence of impacts on patient care and none on costs. Benefits of staffing levels set using the tools appear to be linked to increased staffing with no evidence of tools providing a more efficient or effective use of a given staff resource. Although there is evidence that staffing assessments made using tools may correlate with other assessments, different systems lead to dramatically different estimates of staffing requirements. While it is evident that there are many sources of variation in demand, the extent to which systems can deliver staffing levels to meet such demand is unclear. The assumption that staffing to meet average need is the optimal response to varying demand is untested and may be incorrect.

Conclusions

Despite the importance of the question and the large volume of publication evidence about nurse staffing methods remains highly limited. There is no evidence to support the choice of any particular tool. Future research should focus on learning more about the use of existing tools rather than simply developing new ones. Priority research questions include how best to use tools to identify the required staffing level to meet varying patient need and the costs and consequences of using tools.

Tweetable abstract

Decades of research on tools to determine nurse staffing requirements is largely uninformative. Little is known about the costs or consequences of widely used tools.

Analyzing economic feasibility for investing in nursing care: Evidence from panel data analysis in 35 OECD countries

Objective

To analyze economic feasibility for investing in nursing care.

Method

The number of practicing nurses’ density per 1000 population as a proxy for nursing staff and Gross Domestic Product (GDP) per capita (current US$) were collected in 35 member countries of Organization for Economic Co-operation and Development (OECD) over 2000–2016 period. The statistical technique of panel data analysis including unit root test, cointegration analysis, Granger causality test, dynamic long-run model analysis and error correction model were applied to measure economic impact of nursing-related services.

Results

There was a committed bilateral relationship between nurse-staffing level and GDP with long-run magnitudes of 1.39 and 0.41 for GDP-lead-nurse and nurse-lead-GDP directions in OECD countries, respectively. Moreover, the highest long-run magnitudes of the effect nursing staff has on increasing GDP per capita were calculated in Finland (2.07), Sweden (1.92), Estonia (1.68), Poland (1.52), Czech Republic (1.48), Norway (1.47) and Canada (1.24).

Conclusion

Our findings verify that although the dependency of nursing characteristics to GDP per capita is higher than the reliance of GDP to number of nurses’ density per 1000 population, investing in nursing care is economically feasible in OECD countries i.e. nursing is not only a financial burden (or cost) on health care systems, but also an economic stimulus in OECD countries. Hence, we alert governments and policy makers about the risk of underestimating the economic impacts of nurses on economic systems of OECD countries.

Nurse staffing levels, missed vital signs and mortality in hospitals: retrospective longitudinal observational study

Background

Low nurse staffing levels are associated with adverse patient outcomes from hospital care, but the causal relationship is unclear. Limited capacity to observe patients has been hypothesised as a causal mechanism.

Objectives

This study determines whether or not adverse outcomes are more likely to occur after patients experience low nurse staffing levels, and whether or not missed vital signs observations mediate any relationship.

Design

Retrospective longitudinal observational study. Multilevel/hierarchical mixed-effects regression models were used to explore the association between registered nurse (RN) and health-care assistant (HCA) staffing levels and outcomes, controlling for ward and patient factors.

Setting and participants

A total of 138,133 admissions to 32 general adult wards of an acute hospital from 2012 to 2015.

Main outcomes

Death in hospital, adverse event (death, cardiac arrest or unplanned intensive care unit admission), length of stay and missed vital signs observations.

Data sources

Patient administration system, cardiac arrest database, eRoster, temporary staff bookings and the Vitalpac system (System C Healthcare Ltd, Maidstone, Kent; formerly The Learning Clinic Limited) for observations.

Results

Over the first 5 days of stay, each additional hour of RN care was associated with a 3% reduction in the hazard of death [hazard ratio (HR) 0.97, 95% confidence interval (CI) 0.94 to 1.0]. Days on which the HCA staffing level fell below the mean were associated with an increased hazard of death (HR 1.04, 95% CI 1.02 to 1.07), but the hazard of death increased as cumulative staffing exposures varied from the mean in either direction. Higher levels of temporary staffing were associated with increased mortality. Adverse events and length of stay were reduced with higher RN staffing. Overall, 16% of observations were missed. Higher RN staffing was associated with fewer missed observations in high-acuity patients (incidence rate ratio 0.98, 95% CI 0.97 to 0.99), whereas the overall rate of missed observations was related to overall care hours (RN + HCA) but not to skill mix. The relationship between low RN staffing and mortality was mediated by missed observations, but other relationships between staffing and mortality were not. Changing average skill mix and staffing levels to the levels planned by the Trust, involving an increase of 0.32 RN hours per patient day (HPPD) and a similar decrease in HCA HPPD, would be associated with reduced mortality, an increase in staffing costs of £28 per patient and a saving of £0.52 per patient per hospital stay, after accounting for the value of reduced stays.

Limitations

This was an observational study in a single site. Evidence of cause is not definitive. Variation in staffing could be influenced by variation in the assessed need for staff. Our economic analysis did not consider quality or length of life.

Conclusions

Higher RN staffing levels are associated with lower mortality, and this study provides evidence of a causal mechanism. There may be several causal pathways and the absolute rate of missed observations cannot be used to guide staffing decisions. Increases in nursing skill mix may be cost-effective for improving patient safety.

Future work

More evidence is required to validate approaches to setting staffing levels. Other aspects of missed nursing care should be explored using objective data. The implications of findings about both costs and temporary staffing need further exploration.

Trial registration

This study is registered as ISRCTN17930973.

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. 6, No. 38. See the NIHR Journals Library website for further project information.

The structure of nursing: a national examination of titles and practice profiles

AIM

To identify the practice patterns of the Australian registered nurse workforce according to position title and to map these disparate titles across all jurisdictions of the country.

INTRODUCTION

Effective nursing workforce planning can contribute to improved patient care and increased effectiveness and efficiency of healthcare systems.

BACKGROUND

The prevailing approach to nursing workforce planning focuses on number of nursing staff needed in relation to the number of patients. The level of expertise and skill mix of registered nurses as a variable in workforce planning is rarely considered.

METHODS

A national cross-sectional electronic survey of registered nurses in Australia was conducted using the validated Advanced Practice Role Delineation tool developed from the Strong Model of Advanced Practice. The study involved a sample of 5599 registered nurses.

RESULTS

Sixty-six nursing position titles nationally were mapped using cluster analysis technique and gave rise to seven clusters of equivalent Australian jurisdictional nursing position titles and practice profiles.

DISCUSSION

Effective workforce policy and planning is reliant upon access to reliable evidence. This research is an international first in that it has provided comprehensive knowledge of the clinical level and practice profiles of a national nursing workforce.

IMPLICATIONS FOR NURSING POLICY

Effective, patient-centred workforce planning must consider both the numerical and expertise mix of a nursing workforce. This research provides Australian health service and policy planners with evidence-base knowledge of the nursing workforce. Internationally, this research establishes a platform from which to develop validated tools and established processes to support replication of this research.

Assistants' in nursing perceptions of their social place within mental health-care settings

An international nurse shortage, tightening fiscal constraints, and increased service demands have seen health systems increasingly turn to employing assistants in nursing (AIN) as a cost-effective means to meet demand. This paper describes social positioning from the perspective of 11 AIN who were employed to work in specialist mental health settings in a metropolitan health service in Sydney. Data was collected by means of semistructured interviews. Interview questions encouraged AIN to explore their experience with reference to positioning within the service, role perception, role development, staff relationship, and role satisfaction. Thematic analysis was utilized to generate themes and explore meaning within the data. The following themes emerged: role definition and clarity; socialization and adaptation; and enhancing education. Analysis suggests that whilst AIN were integrated into mainstream service, the scope of activities or role remains geographically variable and inconsistent. Encouragingly, as AIN became familiar with their work environments and teams, they considered themselves to be of value and were able to play a meaningful role. A desire for learning and a need for continuing education also emerged as a primary theme. Findings from the data suggest that AIN in the mental health setting remain a novel and, to some extent, poorly utilized resource.

Texas Nurse Staffing Trends Before and After Mandated Nurse Staffing Committees

This article describes the evolution of mandated nurse staffing committees in Texas from 2002 to 2009 and presents a study that analyzed nurse staffing trends in Texas using a secondary analysis of hospital staffing data (N = 313 hospitals) from 2000 to 2012 obtained from the American Hospital Association Annual Survey. Nurse staffing patterns based on three staffing variables for registered nurses (RNs), licensed vocational nurses (LVNs), and total licensed nurses were identified: full-time equivalents per 1,000 adjusted patient days, productive hours per adjusted patient day, and RN skill mix. Similar to national trends between 2000 and 2012, most Texas hospitals experienced an increase in RN and total nurse staffing, decrease in LVN staffing, and an increase in RN skill mix. The magnitude of total nurse staffing changes in Texas (5% increase) was smaller than national trends (13.6% increase). Texas's small, rural, government hospitals and those with the highest preregulation staffing levels experienced the least change in staffing between 2000 and 2012: median change of 0 to .13 full-time equivalents per 1,000 adjusted patient days and median change in productive hours per patient day of 0 to .23. The varying effects of staffing committees in different organizational contexts should be considered in future staffing legislative proposals and other policy initiatives.

Policies to sustain the nursing workforce: an international perspective

AIM

Examine metrics and policies regarding nurse workforce across four countries.

BACKGROUND

International comparisons inform health policy makers.

METHODS

Data from the OECD were used to compare expenditure, workforce and health in: Australia, Portugal, the United Kingdom (UK) and the United States (US). Workforce policy context was explored.

RESULTS

Public spending varied from less than 50% of gross domestic product in the US to over 80% in the UK. Australia had the highest life expectancy. Portugal has fewer nurses and more physicians. The Australian national health workforce planning agency has increased the scope for co-ordinated policy intervention. Portugal risks losing nurses through migration. In the UK, the economic crisis resulted in frozen pay, reduced employment, and reduced student nurses. In the US, there has been limited scope to develop a significant national nursing workforce policy approach, with a continuation of State based regulation adding to the complexity of the policy landscape. The US is the most developed in the use of nurses in advanced practice roles. Ageing of the workforce is likely to drive projected shortages in all countries.

LIMITATIONS

There are differences as well as variation in the overall impact of the global financial crisis in these countries.

CONCLUSION

Future supply of nurses in all four countries is vulnerable.

IMPLICATIONS FOR NURSING AND HEALTH POLICY

Work force planning is absent or restricted in three of the countries. Scope for improved productivity through use of advanced nurse roles exists in all countries.

Is there an economic case for investing in nursing care--what does the literature tell us?

AIM

To determine the cost effectiveness of increasing nurse staffing or changing the nursing skill mix in adult medical and/or surgical patients?

BACKGROUND

Research has demonstrated that nurse staffing levels and skill mix are associated with patient outcomes in acute care settings. If increased nurse staffing levels or richer skill mix can be shown to be cost-effective hospitals may be more likely to consider these aspects when making staffing decisions.

DESIGN

A systematic review of the literature on economic evaluations of nurse staffing and patient outcomes was conducted to see whether there is consensus that increasing nursing hours/skill mix is a cost-effective way of improving patient outcomes. We used the Cochrane Collaboration systematic review method incorporating economic evidence.

DATA SOURCES

The MEDLINE, CINAHL, SPORTDiscus and PsychINFO databases were searched in 2013 for published and unpublished studies in English with no date limits.

REVIEW METHODS

The review focused on full economic evaluations where costs of increasing nursing hours or changing the skill mix were included and where consequences included nursing sensitive outcomes.

RESULTS

Four-cost benefit and five-cost effectiveness analyses were identified. There were no cost-minimization or cost-utility studies identified in the review. A variety of methods to conceptualize and measure costs and consequences were used across the studies making it difficult to compare results.

CONCLUSION

This review was unable to determine conclusively whether or not changes in nurse staffing levels and/or skill mix is a cost-effective intervention for improving patient outcomes due to the small number of studies, the mixed results and the inability to compare results across studies.