Nurse staffing and inpatient hospital mortality

The Wider Impacts of the Coronavirus Pandemic on the NHS

The coronavirus pandemic has had huge impacts on the National Health Service (NHS). Patients suffering from the illness have placed unprecedented demands on acute care, particularly on intensive care units (ICUs). This has led to an effort to dramatically increase the resources available to NHS hospitals in treating these patients, involving reorganisation of hospital facilities, redeployment of existing staff and a drive to bring in recently retired and newly graduated staff to fight the pandemic. These increases in demand and changes to supply have had large knock-on effects on the care provided to the wider population. This paper discusses likely implications for healthcare delivery in the short and medium term of the responses to the coronavirus pandemic, focusing primarily on the implications for non-coronavirus patients. Patterns of past care suggest those most likely to be affected by these disruptions will be older individuals and those living in more deprived areas, potentially exacerbating pre-existing health inequalities. Effects are likely to persist into the longer run, with particular challenges around recruitment and ongoing staff shortages.

Oncology Nursing Considerations when Developing Outpatient Staffing and Acuity Models

OBJECTIVES

Objectives include review of existing benchmarks and nurse-sensitive indicators relevant to the ambulatory care setting. Applying the data to existing ambulatory staffing models with consideration of multiple clinic settings that include medical oncology, infusion, and stem cell transplant clinics. And to describe key considerations needed to optimize oncology care efficiently with an acuity-based staffing model.

DATA SOURCES

Published literature indexed in PubMed, CINAHL, textbooks.

CONCLUSION

In today's complex oncology environment, optimization and utilization of outpatient facilities is essential in providing high-quality care and improving satisfaction of patients as well as providers and staff.

IMPLICATIONS FOR NURSING PRACTICE

Nurse leaders should utilize benchmarking data to ensure staffing levels are appropriate, given the size and scope of their facility. Staff nurses should be engaged to ensure that acuity tools are developed in accordance with their experiences and perceptions of patient care.

Development of a Nursing Assignment Tool Using Workload Acuity Scores

OBJECTIVE

To determine a just and consistent practice for creating nursing assignments.

BACKGROUND

Traditional methods of assigning patients to nurses may lead to unbalanced nursing workload. This article describes the ongoing, hospital-wide effort to evaluate and implement a nursing assignment tool based on electronic health record (EHR) functionality and auto-calculated nursing workload scores.

METHODS

EHR records of individual patient workload scores from all hospital units were collected from August 2017 to June 2018. A nurse-specific total workload score was summed for each staff. Then, each hospital unit's mean nurse workload score and standard deviation, along with the unit's nurse-to-patient ratio, were used to calculate levels of high, medium, and low nursing workload measurement (NWM).

RESULTS

Mean patient-specific workload scores varied greatly across hospital units. Unit-specific nurse-to-patient ratios were factored into NWM scores to create ranges for assignments that were relatively consistent across the institution.

CONCLUSION

The use of objective, electronically generated nursing workload scores, combined with traditional nurse-to-patient ratios, provides accurate real-time nurse staffing needs that can inform best practice in staffing. The confirmation of individual patient workload scores and an appreciation for the complexity of EHR vendor rules are necessary for successful implementation. Automation ensures patient safety, staff satisfaction, and optimal resource allocation.

Performance of the Safer Nursing Care Tool to measure nurse staffing requirements in acute hospitals: a multicentre observational study

OBJECTIVES

The best way to determine nurse staffing requirements on hospital wards is unclear. This study explores the precision of estimates of nurse staffing requirements made using the Safer Nursing Care Tool (SNCT) patient classification system for different sample sizes and investigates whether recommended staff levels correspond with professional judgements of adequate staffing.

DESIGN

Observational study linking datasets of staffing requirements (estimated using a tool) to professional judgements of adequate staffing. Multilevel logistic regression modelling.

SETTING

81 medical/surgical units in four acute care hospitals.

PARTICIPANTS

22 364 unit days where staffing levels and SNCT ratings were linked to nurse reports of "enough staff for quality".

PRIMARY OUTCOME MEASURES

SNCT-estimated staffing requirements and nurses' assessments of staffing adequacy.

RESULTS

The recommended minimum sample of 20 days allowed the required number to employ (the establishment) to be estimated with a mean precision (defined as half the width of the CI as a percentage of the mean) of 4.1%. For most units, much larger samples were required to estimate establishments within ±1 whole time equivalent staff member. When staffing was lower than that required according to the SNCT, for each hour per patient day of registered nurse staffing below the required staffing level, the odds of nurses reporting that there were enough staff to provide quality care were reduced by 11%. Correspondingly, the odds of nurses reporting that necessary nursing care was left undone were increased by 14%. No threshold indicating an optimal staffing level was observed. Surgical specialty, patient turnover and more single rooms were associated with lower odds of staffing adequacy.

CONCLUSIONS

The SNCT can provide reliable estimates of the number of nurses to employ on a unit, but larger samples than the recommended minimum are usually required. The SNCT provides a measure of nursing workload that correlates with professional judgements, but the recommended staffing levels may not be optimal. Some important sources of systematic variations in staffing requirements for some units are not accounted for. SNCT measurements are a potentially useful adjunct to professional judgement but cannot replace it.

TRIAL REGISTRATION NUMBER

ISRCTN12307968.

[Modification of immediate survival after in-hospital cardiac arrest during evenings and weekends]

OBJECTIVE

To determine whether cardiac arrests occurring at night or during the weekend, carry lower immediate survival.

METHOD

An analysis of logistic regression was performed, adjusted for age, sex, time to care of the cardiac arrest and first monitored rhythm, to determine whether there are differences in immediate survival.

RESULTS

The immediate survival of the cohort studied (n=121) was 32 patients (26%). A difference of 13% in immediate survival between both periods studied was found. The logistic regression analysis taking immediate survival as an effect, showed that suffering an in-hospital cardiac arrest during evenings or weekends was a variable that is not associated with a successful outcome. The OR: .48 (95% CI: .20-1.12; P=.08).

CONCLUSIONS

Patients who suffer a cardiac arrest in our centre during evenings or weekends are more vulnerable.

Association between nursing care delivery models and patients' health outcomes in a university hospital: A retrospective cohort study based on the Diagnostic Procedure Combination database

AIM

This study aims to examine the association between nursing delivery models (fixed-team nursing model and Partnership Nursing System® [PNS®]) and patients' health outcomes (30-day in-hospital mortality and functional decline, indicated by a decline in Barthel Index or in-hospital mortality).

METHODS

This study used a retrospective cohort design based on the data from the Diagnostic Procedure Combination database, which included routinely collected health data for Japanese administrative claims. Participants were inpatients aged 20-99 years admitted between July 2010 and August 2012 (fixed-team nursing period) and July 2014 and August 2017 (PNS® period) to an academic teaching hospital in Japan. Odds ratios and 95% confidence intervals were estimated using multivariable logistic models.

RESULTS

We included 24,108 and 23,872 patients for the analyses of 30-day in-hospital mortality and functional decline, respectively (median age: 62 years; 52% women). The 30-day mortalities in both fixed-team nursing and PNS® groups were 0.5%. There was no significant association between the nursing delivery models and 30-day in-hospital mortality (adjusted odds ratio = 1.15, 95% confidence interval = 0.78-1.70). However, the PNS® group was found to have a higher proportion of patients with functional decline (2.7%) than the fixed-team nursing group (2.2%; p = .030). The adjusted odds ratio of declined function in the PNS® group, compared to the fixed-team nursing group, was 1.40 (95% confidence interval = 1.17-1.68, p < .001).

CONCLUSIONS

Further studies are needed to examine how the PNS® model influences patient outcomes, especially nurse-sensitive patient outcomes.

Longitudinal Study of the Variation in Patient Turnover and Patient-to-Nurse Ratio: Descriptive Analysis of a Swiss University Hospital

Background

Variations in patient demand increase the challenge of balancing high-quality nursing skill mixes against budgetary constraints. Developing staffing guidelines that allow high-quality care at minimal cost requires first exploring the dynamic changes in nursing workload over the course of a day.

Objective

Accordingly, this longitudinal study analyzed nursing care supply and demand in 30-minute increments over a period of 3 years. We assessed 5 care factors: patient count (care demand), nurse count (care supply), the patient-to-nurse ratio for each nurse group, extreme supply-demand mismatches, and patient turnover (ie, number of admissions, discharges, and transfers).

Methods

Our retrospective analysis of data from the Inselspital University Hospital Bern, Switzerland included all inpatients and nurses working in their units from January 1, 2015 to December 31, 2017. Two data sources were used. The nurse staffing system (tacs) provided information about nurses and all the care they provided to patients, their working time, and admission, discharge, and transfer dates and times. The medical discharge data included patient demographics, further admission and discharge details, and diagnoses. Based on several identifiers, these two data sources were linked.

Results

Our final dataset included more than 58 million data points for 128,484 patients and 4633 nurses across 70 units. Compared with patient turnover, fluctuations in the number of nurses were less pronounced. The differences mainly coincided with shifts (night, morning, evening). While the percentage of shifts with extreme staffing fluctuations ranged from fewer than 3% (mornings) to 30% (evenings and nights), the percentage within “normal” ranges ranged from fewer than 50% to more than 80%. Patient turnover occurred throughout the measurement period but was lowest at night.

Conclusions

Based on measurements of patient-to-nurse ratio and patient turnover at 30-minute intervals, our findings indicate that the patient count, which varies considerably throughout the day, is the key driver of changes in the patient-to-nurse ratio. This demand-side variability challenges the supply-side mandate to provide safe and reliable care. Detecting and describing patterns in variability such as these are key to appropriate staffing planning. This descriptive analysis was a first step towards identifying time-related variables to be considered for a predictive nurse staffing model.

In-hospital mortality as the side effect of missed care

AIM

The aim of the study was to assess the influence of the number of hours of daily nursing care for NHPPD in medical departments on missed care and the correlation between NHPPD and in-hospital mortality.

BACKGROUND

Patient mortality can be a consequence of missed care as it correlates with the nurse-patient ratio. One of the methods to measure missed care is the Nursing Hours per Patient Day rating.

METHODS

The study sample included 44,809 patients including 971 deaths in 8 wards. The influence of nursing hours, nursing education, and the percentage of patients' classification on in-hospital mortality were evaluated with backward stepwise linear regression.

RESULTS

One hour added to the average NHPPD in medical departments was related to a decrease in mortality rate by 6.8 per 1,000 patient days and a lower chance for the emergence of unplanned death by 36%.

CONCLUSIONS

The number of NHPPD and the percentage of professional nurses are factors influencing missed care and in-hospital mortality.

IMPLICATIONS FOR NURSING MANAGEMENT

The severe consequences of missed care, that is mortality, and the correlation between in-hospital mortality, nursing education and nursing-patient ratio, which are indicators of care quality, are arguments for maintaining adequate staffing levels to avoid missed care.

Costs and consequences of using average demand to plan baseline nurse staffing levels: a computer simulation study

Background

Planning numbers of nursing staff allocated to each hospital ward (the ‘staffing establishment’) is challenging because both demand for and supply of staff vary. Having low numbers of registered nurses working on a shift is associated with worse quality of care and adverse patient outcomes, including higher risk of patient safety incidents. Most nurse staffing tools recommend setting staffing levels at the average needed but modelling studies suggest that this may not lead to optimal levels.

Objective

Using computer simulation to estimate the costs and understaffing/overstaffing rates delivered/caused by different approaches to setting staffing establishments.

Methods

We used patient and roster data from 81 inpatient wards in four English hospital Trusts to develop a simulation of nurse staffing. Outcome measures were understaffed/overstaffed patient shifts and the cost per patient-day. We compared staffing establishments based on average demand with higher and lower baseline levels, using an evidence-based tool to assess daily demand and to guide flexible staff redeployments and temporary staffing hires to make up any shortfalls.

Results

When baseline staffing was set to meet the average demand, 32% of patient shifts were understaffed by more than 15% after redeployment and hiring from a limited pool of temporary staff. Higher baseline staffing reduced understaffing rates to 21% of patient shifts. Flexible staffing reduced both overstaffing and understaffing but when used with low staffing establishments, the risk of critical understaffing was high, unless temporary staff were unlimited, which was associated with high costs.

Conclusion

While it is common practice to base staffing establishments on average demand, our results suggest that this may lead to more understaffing than setting establishments at higher levels. Flexible staffing, while an important adjunct to the baseline staffing, was most effective at avoiding understaffing when high numbers of permanent staff were employed. Low staffing establishments with flexible staffing saved money because shifts were unfilled rather than due to efficiencies. Thus, employing low numbers of permanent staff (and relying on temporary staff and redeployments) risks quality of care and patient safety.

Does the Time of Solitary Rapid Response Team Call Affect Patient Outcome?

Objective

The study aimed to evaluate the effect of a single after-hours rapid response team (RRT) calls on patient outcome.

Design

A retrospective cohort study of RRT-call data over a 3-year period.

Setting

A 600-bedded, tertiary referral, public university hospital.

Participants

All adult patients who had a single RRT-call during their hospital stay.

Intervention

None.

Main outcomes measures

The primary outcome was to compare all-cause in-hospital mortality. The secondary outcomes were to study the hourly variation of RRT-calls and the mortality rate.

Results

Of the total 5,108 RRT-calls recorded, 1,916 patients had a single RRT-call. Eight hundred and sixty-one RRT-calls occurred during work-hours (08:00-17:59 hours) and 1,055 during after-hours (18:00-7:59). The all-cause in-hospital mortality was higher (15.07% vs 9.75%, OR 1.64, 95% CI 1.24-2.17, p value 0.001) in patients who had an after-hours RRT-call. This difference remained statistically significant after multivariate regression analysis (OR 1.50, 95% CI 1.11-2.01, p value 0.001). We noted a lower frequency of hourly RRT-calls after-hours but were associated with higher hourly mortality rates. There was no difference in outcomes for patients who were admitted to ICU post-RRT-call.

Conclusion

Patients having an after-hour RRT-call appear to have a higher risk for hospital mortality. No causal mechanism could be identified other than a decrease in hourly RRT usage during after-hours.

How to cite this article

Singh MY, Vegunta R, Karpe K, Rai S. Does the Time of Solitary Rapid Response Team Call Affect Patient Outcome? Indian J Crit Care Med 2020;24(1):38-43.

The relationship of nursing practice laws to suicide and homicide rates: a longitudinal analysis of US states from 2012 to 2016

BACKGROUND

Nursing resources can have a protective effect on patient outcomes, but nurses and nursing scope of practice have not been studied in relation to injury outcomes. The purpose of this study was to examine whether scope of practice and ease of practice laws for nurse practitioners and registered nurses are associated with suicide and homicide rates in the United States.

METHODS

This state-level analysis used data from 2012 to 2016. The outcome variables were age-adjusted suicide and homicide rates. The predictor variables were NP scope of practice by state (limited, partial, or full) and RN ease of practice (state RN licensure compact membership status). Covariates were state sociodemographic, healthcare, and firearm/firearm policy context variables that have a known relationship with the outcomes.

RESULTS

Full scope of practice for NPs was associated with lower rates of suicide and homicide, with stronger associations for suicide. Likewise, greater ease of practice for RNs was associated with lower suicide and homicide rates.

CONCLUSIONS

Findings suggest that nurses are an important component of the healthcare ecosystem as it relates to injury outcomes. Laws supporting full nursing practice may have a protective effect on population health in the area of injuries and future studies should explore this relationship further.

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.

Capacity constraints and time allocation in public health clinics

Unlike in the production of most goods, changes in capacity for labor-intensive services only affect outcomes of interest insofar as service providers change the way they allocate their time in response to those capacity changes. In this paper, we examine how public sector service providers respond to unexpected capacity constraints in the specific context of public health clinics. We exploit an exogenous reduction in public health clinic capacity to quantify the trade-off between patients treated and time spent with each patient, which we treat as a proxy for a quality versus quantity decision. We provide evidence that these small and generally insignificant effects on nurse time favor public sector employees prioritizing quality of each interaction over clearing the patient queue.

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.

Is my patient ready for a safe transfer to a lower-intensity care setting? Nursing complexity as an independent predictor of adverse events risk after ICU discharge

BACKGROUND

Patients discharged from intensive care units (ICUs) are at risk for adverse events (AEs). Establishing safe discharge criteria is challenging. No available criteria consider nursing complexity among risk factors.

OBJECTIVES

To investigate whether nursing complexity upon ICU discharge is an independent predictor for AEs.

METHODS

Prospective observational study. The Patient Acuity and Complexity Score (PACS) was developed to measure nursing complexity. Its predictive power for AEs was tested using multivariate regression analysis.

RESULTS

The final regression model showed a very-good discrimination power (AUC 0.881; p<0.001) for identifying patients who experienced AEs. Age, ICU admission reason, PACS, cough strength, PaCO₂, serum creatinine and sodium, and transfer to Internal Medicine showed to be predictive of AEs. Exceeding the identified PACS threshold increased by 3.3 times the AEs risk.

CONCLUSIONS

The level of nursing complexity independently predicts AEs risk and should be considered in establishing patient's eligibility for a safe ICU discharge.

Association Between Hospital Bed Occupancy and Outcomes in Emergency Care: A Cohort Study in Stockholm Region, Sweden, 2012 to 2016

STUDY OBJECTIVE

We evaluate the importance of hospital bed occupancy for 30-day mortality, inhospital mortality, readmission for inpatient care within 30 days, and revisits to the emergency department (ED) within 7 days among all adult patients visiting the ED.

METHODS

This was an observational cohort study including all adult patients visiting 6 EDs in Stockholm Region, Sweden. ED visits from 2012 to 2016 were categorized into groups by hospital bed occupancy in 5% intervals between 85% and 105%. A proportional hazards model was used to estimate adjusted hazard ratios with 95% confidence intervals (CIs). The model was stratified by hospital and adjusted for age, sex, comorbidities, hospital stays in the year preceding the index visit, marital status, length of education, and weekday/weekend timing of visit.

RESULTS

A total of 816,832 patients with 2,084,554 visits were included. Mean hospital bed occupancy was 93.3% (SD 3.3%). In total, 28,112 patients died within 30 days, and 17,966 patients died inhospital. Hospital bed occupancy was not associated with 30-day mortality (hazard ratio for highest category of occupancy ≥105% was 1.10; 95% CI 0.96 to 1.27) or inhospital mortality. Patients discharged from the ED at occupancy levels greater than 89% had a 2% to 4% higher risk of revisits to the ED within 7 days. A 10% increase in hospital bed occupancy was associated with a 16-minute increase (95% CI 16 to 17 minutes) in ED length of stay and 1.9-percentage-point decrease (95% CI 1.7 to 2.0 percentage points) in admission rate.

CONCLUSION

We did not find an association between increasing hospital bed occupancy and mortality in our sample of 6 EDs in Stockholm Region, Sweden, despite increased length of stay in the ED and a decline in admissions for inpatient care.

Nurse staffing and healthcare-associated infections in a national healthcare system that implemented a nurse staffing directive: Multi-level interrupted time series analyses

BACKGROUND

In 2010, the Veterans Health Administration Office of Nursing Services (VHA ONS) issued a Staffing Methodology (SM) Directive, standardizing the method of determining appropriate nurse staffing for VHA facilities.

OBJECTIVES

To assess associations between the Directive, nurse staffing trends, and healthcare-associated infections.

RESEARCH DESIGN

We conducted multi-level interrupted time series analyses of nurse staffing trends and the rates of two healthcare-associated infections before and after implementation of the Directive, October 1, 2008 - June 30, 2014.

SUBJECTS

Acute care, critical care, mental health acute care, and longterm care nursing units (called Community Living Centers, CLC in VHA) among 285 VHA facilities were included in nurse staffing trends analyses, while acute and critical care units in 123 facilities were used in the analysis of infection rates.

MEASURES

Monthly rates were calculated at the facility unit level and included nursing hours per patient day (NHPPD) for all nursing personnel and number of catheter-associated urinary tract infections (CAUTI) and central line-associated bloodstream infections (CLABSI) per 1000 device days.

RESULTS

Nursing hours per patient day increased in both time periods. However, the differential change in rate of nursing hours per patient day following implementation of the Directive was not statistically significant. On average, we found a statistically significant decrease of 0.05 unit in the post-Directive central line-associated bloodstream infection rates associated with a unit increase in nursing hours per patient day.

CONCLUSIONS

System-wide implementation of Staffing Methodology may be one contributing factor impacting patient outcomes.

Turnover prevention: The direct and indirect association between organizational job stressors, negative emotions and professional commitment in novice nurses

Aims

Getting insight in the most crucial organizational job stressors for novice nurses' professional commitment and whether the job stressors are mediated through negative emotions.

Design

The study used an observational cohort design.

Methods

Organizational job stressors were derived from 580 diary entries by 18 novice nurses combined with measures on emotions and commitment. The diaries were collected from September 2013–September 2014.

Results

Path modelling revealed that lack of support from colleagues, negative experiences with patients and confrontations with existential events were most strongly negatively related to professional commitment through negative emotions. Other indirectly and negatively related organizational job stressors to commitment were complexity of care, lack of control and work‐life imbalance; only conflicting job demands, and lack of control related to professional commitment directly.

Conclusion(s)

To enhance professional commitment, it is important to reduce negative emotions in novice nurses by collegial support in dealing with negative experiences with patients, complexity of care and existential events and to prevent lack of control and an imbalance between private life and work. Nurse supervisors and managers can encourage nurses to share negative patient experiences, issues related to complexity of care and existential events.

Impact

Considering the worldwide nursing shortage and early turnover, more understanding is needed about how negative emotions mediate the relationship between organizational negative job stressors and professional commitment and the relative impact of organizational job stressors to professional commitment. The study stresses the importance of a supportive role of supervisors and nurse managers to improve the work environment and hence increase novice nurses' commitment and retention.

Pre-arrest and intra-arrest prognostic factors associated with survival after in-hospital cardiac arrest: systematic review and meta-analysis

OBJECTIVE

To determine associations between important pre-arrest and intra-arrest prognostic factors and survival after in-hospital cardiac arrest.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

Medline, PubMed, Embase, Scopus, Web of Science, and the Cochrane Database of Systematic Reviews from inception to 4 February 2019. Primary, unpublished data from the United Kingdom National Cardiac Arrest Audit database.

STUDY SELECTION CRITERIA

English language studies that investigated pre-arrest and intra-arrest prognostic factors and survival after in-hospital cardiac arrest.

DATA EXTRACTION

PROGRESS (prognosis research strategy group) recommendations and the CHARMS (critical appraisal and data extraction for systematic reviews of prediction modelling studies) checklist were followed. Risk of bias was assessed by using the QUIPS tool (quality in prognosis studies). The primary analysis pooled associations only if they were adjusted for relevant confounders. The GRADE approach (grading of recommendations assessment, development, and evaluation) was used to rate certainty in the evidence.

RESULTS

The primary analysis included 23 cohort studies. Of the pre-arrest factors, male sex (odds ratio 0.84, 95% confidence interval 0.73 to 0.95, moderate certainty), age 60 or older (0.50, 0.40 to 0.62, low certainty), active malignancy (0.57, 0.45 to 0.71, high certainty), and history of chronic kidney disease (0.56, 0.40 to 0.78, high certainty) were associated with reduced odds of survival after in-hospital cardiac arrest. Of the intra-arrest factors, witnessed arrest (2.71, 2.17 to 3.38, high certainty), monitored arrest (2.23, 1.41 to 3.52, high certainty), arrest during daytime hours (1.41, 1.20 to 1.66, high certainty), and initial shockable rhythm (5.28, 3.78 to 7.39, high certainty) were associated with increased odds of survival. Intubation during arrest (0.54, 0.42 to 0.70, moderate certainty) and duration of resuscitation of at least 15 minutes (0.12, 0.07 to 0.19, high certainty) were associated with reduced odds of survival.

CONCLUSION

Moderate to high certainty evidence was found for associations of pre-arrest and intra-arrest prognostic factors with survival after in-hospital cardiac arrest.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42018104795.

Decreasing Barriers to Research Utilization Among Labor and Delivery Nurses

BACKGROUND

Intermittent fetal monitoring (IFM) is a recommended strategy for intrapartum fetal heart rate assessment in low-risk pregnancies; however, this "high touch, low tech" approach is underutilized.

OBJECTIVE

The aim of the study was to examine the relationships between labor and delivery nurses' intellectual capital and their perceptions of barriers to research utilization in the work setting.

METHODS

A cross-sectional correlational design using data derived from a larger study of labor and delivery nurses (N = 248) was used. Covell's theory of nursing intellectual capital was used as the conceptual and analytic framework to examine labor and delivery nurses' intellectual capital and their perceived barriers to research utilization.

RESULTS

Nurses who receive paid time off from their employer to attend conferences (p < .01) and nurses who do not report nurse-to-patient ratios as a problem in providing IFM (p < .01) perceive fewer barriers to research utilization.

DISCUSSION

Time, especially available time, has an effect on labor and delivery nurses' attitude toward IFM and their perceptions of barriers to research utilization.

The impact of nurse staffing levels and nurse's education on patient mortality in medical and surgical wards: an observational multicentre study

BACKGROUND

Growing evidence indicates that improved nurse staffing in acute hospitals is associated with lower hospital mortality. Current research is limited to studies using hospital level data or without proper adjustment for confounders which makes the translation to practice difficult.

METHOD

In this observational study we analysed retrospectively the control group of a stepped wedge randomised controlled trial concerning 14 medical and 14 surgical wards in seven Belgian hospitals. All patients admitted to these wards during the control period were included in this study. Pregnant patients or children below 17 years of age were excluded. In all patients, we collected age, crude ward mortality, unexpected death, cardiac arrest with Cardiopulmonary Resuscitation (CPR), and unplanned admission to the Intensive Care Unit (ICU). A composite mortality measure was constructed including unexpected death and death up to 72 h after cardiac arrest with CPR or unplanned ICU admission. Every 4 months we obtained, from 30 consecutive patient admissions across all wards, the Charlson comorbidity index. The amount of nursing hours per patient days (NHPPD) were calculated every day for 15 days, once every 4 months. Data were aggregated to the ward level resulting in 68 estimates across wards and time. Linear mixed models were used since they are most appropriate in case of clustered and repeated measures data.

RESULTS

The unexpected death rate was 1.80 per 1000 patients. Up to 0.76 per 1000 patients died after CPR and 0.62 per 1000 patients died after unplanned admission to the ICU. The mean composite mortality was 3.18 per 1000 patients. The mean NHPPD and proportion of nurse Bachelor hours were respectively 2.48 and 0.59. We found a negative association between the nursing hours per patient day and the composite mortality rate adjusted for possible confounders (B = - 2.771, p = 0.002). The proportion of nurse Bachelor hours was negatively correlated with the composite mortality rate in the same analysis (B = - 8.845, p = 0.023). Using the regression equation, we calculated theoretically optimal NHPPDs.

CONCLUSIONS

This study confirms the association between higher nurse staffing levels and lower patient mortality controlled for relevant confounders.

Nursing resource team capacity planning using forecasting and optimization methods: A case study

AIM

To estimate the cost-minimizing size and skill mix of a nursing resource team (NRT).

BACKGROUND

Nurse absences can be filled by an NRT at lower hourly cost than staffing agencies or nurses working overtime, but an NRT must be appropriately sized to minimize total cost.

METHODS

Using all registered nurse (RN) absences at an academic teaching hospital from 1 October 2014 to 31 March 2018, we developed a generalized additive model (GAM) to forecast the weekly frequency of each of ten types of absence over 52 weeks. We used the forecasts in an optimization model to determine the cost-minimizing NRT composition.

RESULTS

The median weekly frequencies for the ten absence types ranged between 12 and 65.5. The root mean squared errors of the GAMs ranged between 4.55 and 9.07 on test data. The NRT dimensioned by the optimization model yields an estimated annual cost reduction of $277,683 (Canadian dollars) (7%).

CONCLUSIONS

The frequency of RN absences in a hospital can be forecasted with high accuracy, and the use of forecasting and optimization to dimension an NRT can substantially reduce the cost of filling RN absences.

IMPLICATIONS FOR NURSING MANAGEMENT

This methodology can be adapted by any hospital to optimize nurse staffing.

Examining the Impact of Board-Certified Registered Nurses in Skilled Nursing Facilities Using National and State Quality and Clinical Indicators

A convenience sample of skilled nursing facilities was selected from a sample of graduates of an online training program for RNs who subsequently achieved board certification in gerontological nursing (RN-BC). Facilities that employed one or more RN-BC were pair-matched using 11 organizational characteristics with facilities that did not employ a RN-BC. Facility data were collected at two time points, and differences between time points and between facility type (RN-BC versus non-RN-BC) were analyzed. Findings showed that there were no statistically significant differences between RN-BC and non-RN-BC facilities with respect to quality ratings and nurse sensitive clinical indicators (e.g., restraint use, urinary tract infections, falls, antipsychotic medication use) between the two time periods; however, in the second time period, RN-BC facilities showed greater improvement versus non-RN-BC facilities in seven of nine outcomes, achieving significance in Overall (4.10 vs. 3.55, p < 0.01) and Survey (3.48 vs. 2.86, p < 0.01) 5-Star ratings. [Journal of Gerontological Nursing, 45(11), 39-45.].

Subtle cues: Qualitative elicitation of signs of capacity strain in the hospital workplace

Through everyday care experiences, nurses develop expertise in recognition of capacity strain in hospital workplaces. Through qualitative interview, experienced nurses identify common activity changes and adaptive work strategies that may signal an imbalance between patient demand and service supply at the bedside. Activity change examples include nurse helping behaviors across patient assignments, increased volume of nurse calls from patient rooms, and decreased presence of staff at the nurses' station. Adaptive work strategies encompass actions taken to recruit resources, move work in time, reduce work demands, or reduce thoroughness of task performance. Nurses' knowledge of perceptible signs of strain provides a foundation for future exploration and development of real-time indicators of capacity strain in hospital-based work systems.

A scoping review of safety management during clinical placements of undergraduate nursing students

BACKGROUND

The abundant knowledge on nursing students' competencies in clinical safety, and the multiple approaches adopted make it difficult to obtain an overview of the current status of this question.

PURPOSE

To review the literature on undergraduate nursing students' safety competencies during their clinical placements.

METHOD

A scoping review was carried out. Searches were executed in PubMed, CINAHL, WOS, MEDES, and websites of relevant organizations. The framework proposed by the Joanna Briggs Institute was adopted.

FINDINGS

A total of 43 studies were selected for the final sample. The review identified four major topics: the presence of adverse events in clinical placements, the acquisition of competencies in clinical safety, student experiences regarding clinical safety, and pedagogical approaches for clinical safety.

DISCUSSION

Nursing students encounter adverse events and clinical safety incidents throughout their clinical training. Faculties should assign the highest priority to this question, due to its importance in the creation of a culture of safety.

On- Versus Off-Hours Presentation and Mortality of ST-Segment Elevation Myocardial Infarction Patients Treated With Primary Percutaneous Coronary Intervention

OBJECTIVES

The authors sought to assess the association between admission time with patient's care, procedure characteristics, and clinical outcomes within a contemporary ST-segment elevation myocardial infarction (STEMI) network of patients referred for primary percutaneous coronary intervention (PCI).

BACKGROUND

The effect of admission time on STEMI patient's outcomes remains controversial when primary PCI is the preferred reperfusion strategy.

METHODS

Characteristics and clinical outcomes of 2,167 consecutive STEMI patients admitted in a tertiary PCI-capable center were collected. On-hours were defined as admission from Monday through Friday between 8 am and 6 pm and off-hours as admission during night shift, weekend, and nonworking holidays. In-hospital and 1-year all-cause mortality were assessed as well as key time delays.

RESULTS

A total of 1,048 patients (48.3%) were admitted during on-hours, and 1,119 patients (51.7%) during off-hours. Characteristics were well-balanced between the 2 groups, including rates of cardiac arrest (7.9% vs. 8.8%; p = 0.55) and cardiogenic shock (12.3% vs. 14.7%; p = 0.16). Median symptom-to-first medical contact time and median first medical contact-to-sheath insertion time did not differ according to on- versus off-hours admission (120 min vs. 126 min; p = 0.25 and 90 min vs. 93 min; p = 0.58, respectively), as well as the rate of radial access for catheterization (85.6% vs. 87.5%; p = 0.27). There was no association between on- versus off-hours groups and in-hospital (8.1% vs. 7.0%; p = 0.49) or 1-year mortality (11.0% vs. 11.1%; p = 0.89), respectively.

CONCLUSIONS

In a contemporary organized STEMI network, patients admitted in a high-volume tertiary primary PCI center during on-hours or off-hours had similar management and 1-year outcomes.

Are hospital nurse staffing practices associated with postoperative cardiac events and death? A systematic review

INTRODUCTION

Postoperative cardiac events are frequent complications of surgery, and their occurrence could be associated with suboptimal nurse staffing practices, but the existing evidence remains scattered. We systematically reviewed studies linking nurse staffing practices to postoperative cardiac events and two related outcomes, all-cause mortality and failure-to-rescue.

METHODS

A systematic search of the English/French literature was undertaken in the CINAHL, PsychInfo, and Medline databases. Studies were included if they: a) were published between 1996 and 2018; b) used a quantitative design; c) examined the association between at least one of seven staffing practices of interest (i.e., staffing levels, skill mix, work environment characteristics, levels of education and experience of the registered nurses, and overtime or temporary staff use) and postoperative cardiac events, mortality or failure-to-rescue; and d) were conducted among surgical patients. Data extraction, analysis, and synthesis, along with study methodological quality appraisal, were performed by two authors. High methodological heterogeneity precluded a formal meta-analysis.

RESULTS

Among 3,375 retrieved articles, 44 studies were included (39 cross-sectional, 3 longitudinal, 1 case-control, 1 interrupted time series). Existing evidence shows that higher nurse staffing levels, a higher proportion of registered nurses with an education at the baccalaureate degree level, and more supportive work environments are related to lower rates of both 30-day mortality and failure-to-rescue. Other staffing practices were less often studied and showed inconsistent associations with mortality or failure-to-rescue. Similarly, few studies (n = 10) examined the associations between nurse staffing practices and postoperative cardiac events and showed inconsistent results.

CONCLUSION

Higher nurse staffing levels, higher registered nurse education (baccalaureate degree level) and more supportive work environments were cross-sectionally associated with lower 30-day mortality and failure-to-rescue rates among surgical patients, but longitudinal studies are required to corroborate these associations. The existing evidence regarding postoperative cardiac events is limited, which warrants further investigation.

Near-simultaneous intensive care unit (ICU) admissions and all-cause mortality: a cohort study

PURPOSE

Prior studies have reported the adverse effects of strain on patient outcomes. There is a paucity of literature about a type of strain that may be caused by near-simultaneous intensive care unit (ICU) admissions. We hypothesized that when multiple admissions arrive nearly at the same time, the ICU teams are excessively strained, and this leads to unfavorable patient outcomes.

METHODS

This is a retrospective cohort study of consecutive adult patients admitted to an academic medical ICU of a tertiary referral center over five consecutive years. Primary outcomes were the all-cause hospital and ICU mortality.

RESULTS

We enrolled 13,234 consecutive ICU admissions during the study period. One-fourth of the admissions had an elapsed time since the last admission (ETLA) of < 55 min. Near-simultaneous admissions (NSA) had on average, a higher unadjusted odds ratio (OR) of ICU death of 1.16 (95% CI 1-1.35, P = 0.05), adjusted 1.23 (95% CI 1.04-1.44, P = 0.01), unadjusted hospital death of 1.11 (95% CI 0.99-1.24, P = 0.06), adjusted 1.20 (95% 1.05-1.35, P = 0.004), and a lower adjusted OR of home discharge of 0.91 (95% CI 0.84-0.99, P = 0.04). NSA was associated with 0.16 (95% CI 0.04-0.29, P = 0.01) added days in the ICU. For each incremental unit increase of the logarithmic transformation of ETLA [log (ETLA in minutes)], the average adjusted hospital mortality OR incrementally decreased by an added average OR of 0.93 (95% CI 0.89‒0.97, P = 0.001).

CONCLUSION

Our results suggest that near-simultaneous ICU admissions (NSA) are frequent and are associated with a dose-dependent effect on mortality, length of stay, and odds of home versus nursing facility discharge.

National trends and variation in nurse staffing on inpatient psychiatric units

The purpose of this study was to examine national trends and variation in nurse staffing on inpatient psychiatric units in US general hospitals from 2005-2017. The National Database of Nursing Quality Indicators^® provided data on nurse staffing from 1,143 psychiatric units in 610 US hospitals. A weighted linear mixed model was fitted for each of two staffing measures: Registered nurse (RN) hours per patient day (HPPD) and non-RN HPPD. Monthly staffing levels were modeled as a function of study year, unit type, and hospital bed size, teaching status, government ownership, for-profit status, metropolitan location, and US census division. Very gradual upward trends in staffing were observed. Compared with adult units, child/adolescent units had lower RN staffing and higher non-RN staffing. Levels of both types of staffing were lower in for-profit facilities. The Pacific census division had higher RN staffing than every other census division by an estimated margin of 0.52-1.54 HPPD, and census divisions with the lowest levels of RN staffing had the highest levels of non-RN staffing. Despite concerns expressed over the past 15 years about patient violence, staffing levels, and use of seclusion and restraint on psychiatric units, average staffing levels have apparently increased only modestly since 2005, and increases in RN staffing on psychiatric units have not kept pace with increases in general care units. Marked regional differences in staffing merit further investigation.

Prevention of hospital-acquired pneumonia

PURPOSE OF REVIEW

Hospital-acquired pneumonia (HAP) is the leading cause of death from hospital-acquired infection. Little work has been done on strategies for prevention of HAP. This review aims to describe potential HAP prevention strategies and the evidence supporting them. Oral care and aspiration precautions may attenuate some risk for HAP. Oral and digestive decontamination with antibiotics may be effective but could increase risk for resistant organisms. Other preventive measures, including isolation practices, remain theoretical or experimental.

RECENT FINDINGS

Hospital-acquired pneumonia occurs because of pharyngeal colonization with pathogenic organisms and subsequent aspiration of these pathogens.

SUMMARY

Most potential HAP prevention strategies remain unproven.

Association of registered nurse and nursing support staffing with inpatient hospital mortality

Background

The association of nursing staffing with patient outcomes has primarily been studied by comparing high to low staffed hospitals, raising concern other factors may account for observed differences. We examine the association of inpatient mortality with patients’ cumulative exposure to shifts with low registered nurse (RN) staffing, low nursing support staffing and high patient turnover.

Methods

Cumulative counts of exposure to shifts with low staffing and high patient turnover were used as time-varying covariates in survival analysis of data from a three-campus US academic medical centre for 2007–2012. Staffing below 75% of annual median unit staffing for each staff category and shift type was characterised as low. High patient turnover per day was defined as admissions, discharges and transfers 1 SD above unit annual daily averages.

Results

Models included cumulative counts of patient exposure to shifts with low RN staffing, low nursing support staffing, both concurrently and high patient turnover. The HR for exposure to shifts with low RN staffing only was 1.027 (95% CI 1.002 to 1.053, p<0.001), low nursing support only, 1.030 (95% CI 1.017 to 1.042, p<0.001) and shifts with both low, 1.025 (95% CI 1.008 to 1.043, p=0.035). For a model examining cumulative exposure over the second to fifth days of an admission, the HR for exposure to shifts with low RN staffing only was 1.048 (95% CI 0.998 to 1.100, p=0.061), low nursing support only, 1.032 (95% CI 1.008 to 1.057, p<0.01) and for shifts with both low,1.136 (95% CI 1.089 to 1.185, p<0.001). No relationship was observed for high patient turnover and mortality.

Conclusion

Low RN and nursing support staffing were associated with increased mortality. The results should encourage hospital leadership to assure both adequate RN and nursing support staffing.

Failure to Rescue as a Surgical Quality Indicator

Over the past decade, failure to rescue—defined as the death of a patient after one or more potentially treatable complications—has received increased attention as a surgical quality indicator. Failure to rescue is an appealing quality target because it implicitly accounts for the fact that postoperative complications may not always be preventable and is based on the premise that prompt recognition and treatment of complications is a critical, actionable point during a patient’s postoperative course. Although numerous patient and macrosystem factors have been associated with failure to rescue, there is an increasing appreciation of the key role of microsystem factors. Although failure to rescue is believed to contribute to observed hospital-level variation in both surgical outcomes and costs, further work is needed to delineate the underlying patient-level and system-level factors preventing the timely identification and treatment of postoperative complications. Therefore, the goals of this narrative review are to provide a conceptual framework for understanding failure to rescue, to discuss various associated patient- and system-level factors, to delineate the reasons it has become recognized as an important quality indicator, and to propose future directions of scientific inquiry for developing effective interventions that can be broadly implemented to improve postoperative outcomes across all hospitals.

Registered nurses' perspectives of work satisfaction, patient safety and intention to stay - A double-edged sword

AIM

To describe job satisfaction in registered nurses (RNs), their intention to stay at their current workplace and in the profession and to explore patient safety in relation to these.

BACKGROUND

Nurse turnover presents a serious challenge to health care that may be predicted by factors related to the work environment.

METHOD

Descriptive design with 25 qualitative interviews.

RESULTS

Five categories were identified: RNs feel satisfied when providing person-centred care; RNs enjoy the variability of the nursing job, but want control; RNs feel frustrated when care is put on hold or left undone; RNs depend on team collaboration and the work environment to assure patient safety; intention to stay depends on the work environment and a chance for renewal.

CONCLUSION

Registered nurses' job satisfaction could be described as a double-edged sword. Although the profession is described as a positive challenge, work overload threatens both job satisfaction and patient safety.

IMPLICATIONS FOR NURSING MANAGEMENT

Our findings suggest that nursing leadership can increase RNs' intention to stay by meeting their needs for appreciation, a better work environment, competence development and professional career development.

In-Hospital and Postdischarge Mortality Among Patients With Acute Decompensated Heart Failure Hospitalizations Ending on the Weekend Versus Weekday: The ARIC Study Community Surveillance

Background

Hospital staffing is usually reduced on weekends, potentially impacting inpatient care and postdischarge coordination of care for patients with acute decompensated heart failure (ADHF). However, investigations of in‐hospital mortality on the weekend versus weekday, and post‐hospital outcomes of weekend versus weekday discharge are scarce.

Methods and Results

Hospitalizations for ADHF were sampled by stratified design from 4 US areas by the Community Surveillance component of the ARIC (Atherosclerosis Risk in Communities) study. ADHF was classified by a standardized computer algorithm and physician review of the medical records. Discharges or deaths on Saturday, Sunday, or national holidays were considered to occur on the “weekend.” In‐hospital mortality was compared between hospitalizations ending on a weekend versus weekday. Post‐hospital (28‐day) mortality was compared among patients discharged alive on a weekend versus weekday. From 2005 to 2014, 39 699 weighted ADHF hospitalizations were identified (19% terminating on a weekend). Demographics, comorbidities, length of stay, and guideline‐directed therapies were similar for patients with hospitalizations ending on a weekend versus weekday. In‐hospital death doubled on the weekend compared with weekday (12% versus 6%) and was not attenuated by adjustment for potential confounders (odds ratio, 2.37; 95% CI, 1.93–2.91). There was no association between weekend discharge and 28‐day mortality among patients discharged alive.

Conclusions

The risk of in‐hospital death among patients admitted with ADHF appears to be doubled on the weekends when hospital staffing is usually reduced. However, among patients discharged alive, hospital discharge on a weekend is not adversely associated with mortality.

See Editorial Mehta and Pandey

Trends in Survival After In-Hospital Cardiac Arrest During Nights and Weekends

BACKGROUND

Survival after in-hospital cardiac arrest (IHCA) is lower during nights and weekends (off-hours) compared with daytime during weekdays (on-hours). As overall IHCA survival has improved over time, it remains unknown whether survival differences between on-hours and off-hours have changed.

OBJECTIVES

This study sought to examine temporal trends in survival differences between on-hours and off-hours IHCA.

METHODS

We identified 151,071 adults at 470 U.S. hospitals in the Get with the Guidelines-Resuscitation registry during 2000 to 2014. Using multivariable logistic regression with generalized estimating equations, we examined whether survival trends in IHCA differed during on-hours (Monday to Friday 7:00 am to 10:59 pm) versus off-hours (Monday to Friday 11:00 pm to 6:59 am, and Saturday to Sunday, all day).

RESULTS

Among 151,071 participants, 79,091 (52.4%) had an IHCA during off-hours. Risk-adjusted survival improved over time in both groups (on-hours: 16.0% in 2000, 25.2% in 2014; off-hours: 11.9% in 2000, 21.9% in 2014; p for trend <0.001 for both). However, there was no significant change in the survival difference over time between on-hours and off-hours, either on an absolute (p = 0.75) or a relative scale (p = 0.059). Acute resuscitation survival improved significantly in both groups (on-hours: 56.1% in 2000, 71% in 2014; off-hours: 46.9% in 2000, 68.2% in 2014; p for trend <0.001 for both) and the difference between on-hours and off-hours narrowed over time (p = 0.02 absolute scale, p < 0.001 relative scale). In contrast, although post-resuscitation survival also improved over time in both groups (p for trend < 0.001 for both), the absolute and relative difference persisted.

CONCLUSIONS

Despite an overall improvement in survival, lower survival in IHCA during off-hours compared with on-hours persists.

A Vision for Excellence by Design

Generating evidence for care improvement has characterized my program of research spanning 20 years. Six domains are highlighted to advance the science and practice of critical care nursing in today's complex health care systems. Employee well-being and taking care of team members are key priorities for successful leaders. Understanding that patient and staff outcomes are inextricably linked strengthens the need for care environments to be healing and holistic for staff and patients. The American Association of Critical-Care Nurses' Healthy Work Environment framework empowers staff and optimizes the experience for patients, their families, and care teams. Appropriate staffing, guided by contemporary acuity measurement, takes into account the cognitive workload and complexity of nursing. Committing to a culture of certification and ensuring staffing models with appropriately educated and experienced nursing staff will remain important. In the past decade, we have established the impact of these specific nursing characteristics on improved patient outcomes. Understanding the attributes of empathic and empowered teams is requisite for authentic leadership. Interventions to mitigate moral distress are necessary to foster moral resilience among critical care nurses. The challenge for the future will be to support organizational health through the coexistence of highly reliable processes and clinical innovation. Excellence is achieved when systems are designed to support professional practice and clinical teams and environments.

Nurse staffing models in acute care: A descriptive study

AIMS

To identify nurse staffing groups in acute care facilities.

DESIGN

This retrospective descriptive study used a configurational approach.

METHODS

Data from a two-month target period from January-March 2016 were collected for 40 facilities in four different hospitals in one of the largest regions of Quebec. Multiple factorial analysis and hierarchical ascendant classification were used to generate a limited number of nurse staffing groups.

RESULTS/FINDINGS

Four distinct nurse staffing groups emerged from this study. The least resourced model relied mainly on less qualified personnel and agency staff. The moderately resourced basic model was assessed as average across all staffing dimensions, but employed less overtime, relying mostly on auxiliary nurses. The moderately resourced professional group, also moderate in most variables, involved more overtime and fewer less qualified personnel. The most resourced group maximized highly qualified personnel and minimized instability in the nursing team.

CONCLUSION

This study covered multiple staffing groups with widely varying characteristics. Most groups entailed risks for quality of care at one or more levels. Few care units approached the theoretical staffing ideal.

Variation in hospital charges in patients with external ventricular drains: comparison between the intensive care and surgical floor settings

OBJECTIVE

Placement of an external ventricular drain (EVD) is a common and potentially life-saving neurosurgical procedure, but the economic aspect of EVD management and the relationship to medical expenditure remain poorly studied. Similarly, interinstitutional practice patterns vary significantly. Whereas some institutions require that patients with EVDs be monitored strictly within the intensive care unit (ICU), other institutions opt primarily for management of EVDs on the surgical floor. Therefore, an ICU burden for patients with EVDs may increase a patient's costs of hospitalization. The objective of the current study was to examine the expense differences between the ICU and the general neurosurgical floor for EVD care.

METHODS

The authors performed a retrospective analysis of data from 2 hospitals within a single, large academic institution-the University of Washington Medical Center (UWMC) and Seattle Children's Hospital (SCH). Hospital charges were evaluated according to patients' location at the time of EVD management: SCH ICU, SCH floor, or UWMC ICU. Daily hospital charges from day of EVD insertion to day of removal were included and screened for days that would best represent baseline expenses for EVD care. Independent-samples Kruskal-Wallis analysis was performed to compare daily charges for the 3 settings.

RESULTS

Data from a total of 261 hospital days for 23 patients were included in the analysis. Ten patients were cared for in the UWMC ICU and 13 in the SCH ICU and/or on the SCH neurosurgical floor. The median values for total daily hospital charges were $19,824.68 (interquartile range [IQR] $12,889.73-$38,494.81) for SCH ICU care, $8,620.88 (IQR $6,416.76-$11,851.36) for SCH floor care, and $10,002.13 (IQR $8,465.16-$12,123.03) for UWMC ICU care. At SCH, it was significantly more expensive to provide EVD care in the ICU than on the floor (p < 0.001), and the daily hospital charges for the UWMC ICU were significantly greater than for the SCH floor (p = 0.023). No adverse clinical event related to the presence of an EVD was identified in any of the settings.

CONCLUSIONS

ICU admission solely for EVD care is costly. If safe EVD care can be provided outside of the ICU, it would represent a potential area for significant cost savings. Identifying appropriate patients for EVD care on the floor is multifactorial and requires vigilance in balancing the expenses associated with ICU utilization and optimal patient care.

Safety of the patient in an emergency situation: perceptions of the nursing team

OBJECTIVE

To know the perception of nursing professionals about the essential aspects to provide safe care to polytraumatized patients in emergency services.

METHOD

Descriptive and mixed study, performed with a focus group and projective techniques. The sample was made of seven nursing professionals. Data analysis took place through the Interface de R pour Analyses Multidimensionnelles de Textes et de Questionneires and SPSS 22.0 softwares.

RESULTS

Based on the analysis of participants' speeches, three content partitions emerged in the Descending Hierarchical Classification. 1) Structure: need for changes; 2) The process: safe actions by the nursing team; and 3) Care free from damage as the sought result.

CONCLUSION

Patient safety in emergency situations must rely on a proper environment and an organized sector, good conditions to transport patients, use of routines and protocols, identification and organization of the beds.