Patient turnover and the relationship between nurse staffing and patient outcomes

Operational efficiency effect on nursing workload of tertiary hospital wards in China: A prospective observational study

AIMS

To investigate the effect of ward operational efficiency on nursing workload and identify the factors that influence nursing workload.

BACKGROUND

It remains unclear how and to what extent ward operational efficiency can influence nursing workload.

METHODS

A prospective observational study was conducted from July 1, 2022 to June 30, 2023, in one tertiary general hospital in China. Purposive and convenience sampling was used, and 266 470 patients from 66 wards and 52 nurses from 13 wards were recruited. The relationships between operational efficiency and nursing workload and the predictors of nursing workload were analyzed. The STROBE guidelines were followed.

RESULTS

The operational characteristics vary by the type of wards. Nursing workloads were positively correlated with case mix index (CMI), rate of level 4 surgery, the number of patients transferred in and out, the number of deaths, total bed days, and the number of emergency admissions and critical illnesses (γs: 0.35-0.56, p < 0.05). And the CMI, rate of level 4 surgery, average bed occupancy rate, number of critically ill patients, and total bed days were the predictors of nursing workload (R2 = 57.3%, p < 0.05).

DISCUSSION

This study is the first to discuss the relationship between operational efficiency and nursing workload on the ward level and offers valuable insights into the nursing workload.

CONCLUSION

The operational efficiency of wards affects the nursing workload and needs to be considered both in the measurement of nursing activities and in the sizing of the nursing staff.

IMPLICATIONS FOR NURSING AND NURSING POLICY

The study findings provide a full understanding of the relationship between ward operation and nurse staffing, which is helpful for nursing managers to formulate scientific nurse staffing policies.

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.

The effect of time-varying capacity utilization on 14-day in-hospital mortality: a retrospective longitudinal study in Swiss general hospitals

BACKGROUND

High bed-occupancy (capacity utilization) rates are commonly thought to increase in-hospital mortality; however, little evidence supports a causal relationship between the two. This observational study aimed to assess three time-varying covariates-capacity utilization, patient turnover and clinical complexity level- and to estimate causal effect of time-varying high capacity utilization on 14 day in-hospital mortality.

METHODS

This retrospective population-based analysis was based on routine administrative data (n = 1,152,506 inpatient cases) of 102 Swiss general hospitals. Considering the longitudinal nature of the problem from available literature and expert knowledge, we represented the underlying data generating mechanism as a directed acyclic graph. To adjust for patient turnover and patient clinical complexity levels as time-varying confounders, we fitted a marginal structure model (MSM) that used inverse probability of treatment weights (IPTWs) for high and low capacity utilization. We also adjusted for patient age and sex, weekdays-vs-weekend, comorbidity weight, and hospital type.

RESULTS

For each participating hospital, our analyses evaluated the ≥85th percentile as a threshold for high capacity utilization for the higher risk of mortality. The mean bed-occupancy threshold was 83.1% (SD 8.6) across hospitals and ranged from 42.1 to 95.9% between hospitals. For each additional day of exposure to high capacity utilization, our MSM incorporating IPTWs showed a 2% increase in the odds of 14-day in-hospital mortality (OR 1.02, 95% CI: 1.01 to 1.03).

CONCLUSIONS

Exposure to high capacity utilization increases the mortality risk of inpatients. Accurate monitoring of capacity utilization and flexible human resource planning are key strategies for hospitals to lower the exposure to high capacity utilization.

Missed nursing care in the COVID-19 pandemic in Iran

Background

Quality of care is one of the most critical issues in nursing care today. Moreover, all health care employees are responsible for providing support and high‐quality, safe care. However, nurses caring for COVID‐19 patients face problems such as unfamiliar work environments, exposure to the disease, lack of experience in their new positions, and close public and media attention. This study aimed to investigate missed nursing care and the reasons for missed nursing care during the coronavirus disease 2019 (COVID‐19) pandemic in Iran.

Methods

This cross‐sectional study included 135 nurses working in COVID‐19 units. Data were collected using the MISSCARE Survey. The significance level for the statistical tests was set at p < 0.05.

Results

Most of the participants were women and had a bachelor's degree in nursing. There was a lack of supportive and necessary care more than any other form of care. According to nurses, the most common reasons for missed care were urgent patient situations, inadequate staff, and an unexpected rise in patient volume and/or patient acuity on the unit.

Conclusion

Generally, the results showed that being positioned in a new situation and unfamiliarity with the disease had a significant impact—among nurses—on the amount of care provided. Managers can use this information to solve existing missed‐nursing‐care problems and contribute to improving the quality of care.

These results can be helpful in controlling missed nursing care and finding a more optimal solution for this problem; thus, we can improve the quality of care delivery and increase the satisfaction of nurses and patients. Additionally, an understanding of the kind of missing nursing care during a pandemic can positively enhance the management of similar situations in the future.

Factors associated with nursing needs and nursing hours in acute care hospital settings: A cross-sectional study

AIM

To identify the patient and hospital characteristics related to nursing needs and nursing hours in acute hospital settings.

BACKGROUND

To determine appropriate staffing levels, accumulating empirical data through direct observation and surveys reflecting the actual situation is necessary.

METHODS

In this cross-sectional study, we conducted direct observations of nurses in acute care hospitals from May 1 to August 31, 2020. Twenty-six hospitals in five cities participated, and 747 nursing personnel collected 1,681 patients' data while performing nursing activities. The data of 1,605 individuals were analyzed using descriptive statistics, t-tests, analysis of variance, and linear regression.

RESULTS

Hospital size, admission day, patients' dependence level, high fall risk, and disease diagnoses were variables associated with nursing needs (F = 73.49, P < 0.001) and nursing hours (F = 57.7, P < 0.001). Comparing the correlates of nursing needs and nursing hours revealed that, unlike nursing needs, nursing hours were not significantly associated with surgery and certain diagnoses.

CONCLUSION

This study confirmed the variables associated with nursing needs and nursing hours in acute hospitals; based on this, determining appropriate staffing levels, which is an important step in improving inpatients' health outcomes, is necessary.

IMPLICATIONS FOR NURSING MANAGEMENT

In acute hospitals, an increased number of nurse staffing should be employed based on the number of newly hospitalized patients, patients with high dependence levels and specific diagnoses, and those at high risk of falling.

Failure to Rescue Deteriorating Patients: A Systematic Review of Root Causes and Improvement Strategies

OBJECTIVES

"Failure to rescue" (FTR) is the failure to prevent a death resulting from a complication of medical care or from a complication of underlying illness or surgery. There is a growing body of evidence that identifies causes and interventions that may improve institutional FTR rates. Why do patients "fail to rescue" after complications in hospital? What clinically relevant interventions have been shown to improve organizational fail to rescue rates? Can successful rescue methods be classified into a simple strategy?

METHODS

A systematic review was performed and the following electronic databases searched between January 1, 2006, to February 12, 2018: MEDLINE, PsycINFO, Cochrane Library, CINAHL, and BNI databases. All studies that explored an intervention to improve failure to rescue in the adult population were considered.

RESULTS

The search returned 1486 articles. Eight hundred forty-two abstracts were reviewed leaving 52 articles for full assessment. Articles were classified into 3 strategic arms (recognize, relay, and react) incorporating 6 areas of intervention with specific recommendations.

CONCLUSIONS

Complications occur consistently within healthcare organizations. They represent a huge burden on patients, clinicians, and healthcare systems. Organizations vary in their ability to manage such events. Failure to rescue is a measure of institutional competence in this context. We propose "The 3 Rs of Failure to Rescue" of recognize, relay, and react and hope that this serves as a valuable framework for understanding the phases where failure of patient salvage may occur. Future efforts at mitigating the differences in outcome from complication management between units may benefit from incorporating this proposed framework into institutional quality improvement.

Variation of Daily Care Demand in Swiss General Hospitals: Longitudinal Study on Capacity Utilization, Patient Turnover and Clinical Complexity Levels

Background

Variations in hospitals’ care demand relies not only on the patient volume but also on the disease severity. Understanding both daily severity and patient volume in hospitals could help to identify hospital pressure zones to improve hospital-capacity planning and policy-making.

Objective

This longitudinal study explored daily care demand dynamics in Swiss general hospitals for 3 measures: (1) capacity utilization, (2) patient turnover, and (3) patient clinical complexity level.

Methods

A retrospective population-based analysis was conducted with 1 year of routine data of 1.2 million inpatients from 102 Swiss general hospitals. Capacity utilization was measured as a percentage of the daily maximum number of inpatients. Patient turnover was measured as a percentage of the daily sum of admissions and discharges per hospital. Patient clinical complexity level was measured as the average daily patient disease severity per hospital from the clinical complexity algorithm.

Results

There was a pronounced variability of care demand in Swiss general hospitals. Among hospitals, the average daily capacity utilization ranged from 57.8% (95% CI 57.3-58.4) to 87.7% (95% CI 87.3-88.0), patient turnover ranged from 22.5% (95% CI 22.1-22.8) to 34.5% (95% CI 34.3-34.7), and the mean patient clinical complexity level ranged from 1.26 (95% CI 1.25-1.27) to 2.06 (95% CI 2.05-2.07). Moreover, both within and between hospitals, all 3 measures varied distinctly between days of the year, between days of the week, between weekdays and weekends, and between seasons.

Conclusions

While admissions and discharges drive capacity utilization and patient turnover variation, disease severity of each patient drives patient clinical complexity level. Monitoring—and, if possible, anticipating—daily care demand fluctuations is key to managing hospital pressure zones. This study provides a pathway for identifying patients’ daily exposure to strained hospital systems for a time-varying causal model.

The role of nurse staffing in the performance of function-preserving processes during acute hospitalization: A cross-sectional study

BACKGROUND

Performance of function-preserving hospitalization processes related to patient mobility, use of continence aids and food intake is significantly associated with outcomes in older adults. Nurses are the front-line personnel responsible for promoting performance of such processes. The degree to which nurse staffing is related to this performance is unclear.

OBJECTIVE

To identify nurse-staffing characteristics and nursing-related care needs associated with older patients' mobility, continence care and food intake during acute hospitalization.

DESIGN

Cross-sectional study using survey data from the Hospitalization Process Effects on Functional Outcomes and Recovery (HoPE-FOR) cohort study combined with day-level administrative nurse staffing data and clinical day-level aggregated data for all patients hospitalized during the HoPE-FOR study period.

SETTING

Internal medicine units in two medical centers in Israel.

PARTICIPANTS

Eight hundred seventy-three older adults.

METHODS

Mobility, continence care and food intake were assessed within 2 days of admission using validated questionnaires. Nurse-to-patient ratios and nursing-skill mix (i.e. registered nurses (RNs), nurse aides, nurses with advanced clinical training and RNs with an academic degree) were assessed using administrative data. Decision trees were developed for mobility, continence care and food intake, applying classification and regression-tree analysis.

RESULTS

The mobility decision tree identified three characteristics subdividing patients into six nodes: pre-admission functioning, pre-admission activity level and percentage of nurses with advanced training. The percentage of nurses with advanced training classified low-functioning patients into those walking in corridors versus walking or sitting only inside the room. The continence-care classification decision tree identified two characteristics that subdivided the patients into four nodes: pre-admission functioning and bladder control. Nurse-to-patient-ratio variables and patients' nursing-related care needs did not contribute to this classification. The food-intake decision tree identified four characteristics-pre-admission functioning, gender, percentage of nurses with advanced training and percentage of nurse aides-subdividing patients into eight nodes. Low-functioning patients exposed to a higher percentage of nurses with advanced training had food-intake scores 14% higher than patients exposed to a lower percentage of nurses with advanced training. Independent men exposed to a higher percentage of nurse aides had a 14% higher habitual daily in-hospital food-intake score than independent men exposed to a lower percentage of nurse aides.

CONCLUSIONS

A higher percentage of nurses with post-graduate education is associated with better performance of mobility and food intake of hospitalized older adults. To maintain the potential benefits of highly trained staff, education levels should be considered in scheduling and assignment decision-making processes in internal medicine units. Tweetable abstract: A higher percentage of nurses with post-graduate education is associated with better mobility and food intake of hospitalized older adults.

Nurse staffing legislation: Empirical evidence and policy analysis

Unsafe nurse staffing conditions in hospitals have been shown to increase the risk of adverse patient events, including mortality. Consequently, United States and international professional nursing organizations often advocate for safer staffing conditions. There are a variety of factors to consider when staffing nurses for patient safety, such as the number of patients per nurse, nurse preparation, patient acuity, and nurse autonomy. The complex issue of staffing nurses often is compounded by cost issues and can become politicized. When nurse organizations' recommendations for safe staffing measures are disregarded by hospital administrations, nurse lobbyists and interest groups often pursue legislative action to protect patients and nurses from unsafe staffing conditions. This article presents a narrative review of safe nurse staffing factors and an analysis of nurse staffing legislation. Using a patient-centric lens, three state-level nurse staffing policies (mandated nurse-to-patient ratios, public reporting of staffing plans, and nurse staffing committees) were evaluated by empirical evidence, cost to hospitals and state governments, political feasibility, and potential to affect patient populations. Although nurse staffing policy analysis can be conducted in several ways, it is crucial that nurses consider empirical evidence related to staffing policies as well as evaluations of implemented policies and political influences.

Nursing-sensitive indicators for nursing care: A systematic review (1997-2017)

AIM

To provide a systematic review of the literature from 1997 to 2017 on nursing-sensitive indicators.

DESIGN

A qualitative design with a deductive approach was used.

DATA SOURCES

Original and Grey Literature references from Cochrane Library, Medline/PubMed, Embase, and CINAHL, Google Scholar Original and Grey Literature.

REVIEW METHODS

Quality assessment was performed using the NIH Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies.

RESULTS

A total of 3,633 articles were identified, and thirty-nine studies met the inclusion criteria. The quantitative assessment of investigated relationships in these studies suggests that nursing staffing, mortality, and nosocomial infections were the most frequently reported nursing-sensitive indicators.

CONCLUSION

This review provides a comprehensive list of nursing-sensitive indicators, their frequency of use, and the associations between these indicators and various outcome variables. Stakeholders of nursing research may use the findings to streamline the indicator development efforts and standardization of nursing-sensitive indicators.

IMPACT

This review provides evidence-based results that health organizations can benefit from nursing care quality.

Time and quality of admissions: nursing workload

OBJECTIVES

to measure the average time spent by the nursing staff during patient admission and investigate their compliance with the activities described by the Nursing Interventions Classification; evaluate the degree of interference in the workload of the team.

METHODS

observational with time measurement through software. We followed 199 admissions made by the nursing staff in seven units, using two validated instruments. Total scores ≥ 70% and 50% validated the process.

RESULTS

the average time of nurses ranged from 5.5 (standard deviation = 2.3) to 13 (standard deviation = 1.1) minutes; and the auxiliary / technician, between 4.7 (standard deviation = 2.1) and 6.8 (standard deviation = 2.0) minutes (p ≤ 0.01). We qualified six admissions made by nurses and 33 by assistants/technicians. The intervention spent 16.3% to 31.5% of the working hours of the team.

CONCLUSIONS

admission impacts nursing workload and needs to be considered both in the measurement of activities and in the sizing of the nursing staff.

'It's not what they were expecting': A systematic review and narrative synthesis of the role and experience of the hospital palliative care volunteer

BACKGROUND

Volunteers make a major contribution to palliative care but little is known specifically about hospital palliative care volunteers.

AIM

The aim of this study was to understand the role and experience of hospital palliative care volunteers.

DESIGN

Systematic review and narrative synthesis.

DATA SOURCES

CINAHL, Embase, Medline, PsycINFO, PubMed and three dissertation databases were searched from inception to June 2019. A forward and backward search of included papers in key journals was also undertaken. Records were independently assessed against inclusion criteria by authors. Included papers were assessed for quality, but none were excluded.

RESULTS

In total, 14 papers were included. Hospital palliative care volunteers were mostly female, aged above 40 years, and training varied considerably. Volunteers faced unique challenges in supporting dying patients due to the nature of hospital care, rapid patient turnover and the once-off nature of support. Volunteer roles were diverse, with some providing hands-on care, but most focused on 'being with' the dying patient. Volunteers were appreciated for providing psychosocial support, seen as complementary to, rather than replacing the work of health professionals. Given volunteers were often required to work across multiple wards, establishing positive work relationships with health professionals was challenging. Divergent views about whether the volunteer was part of or external to the team impacted volunteers' experience and perceptions of the value of their contribution.

CONCLUSION

Hospital palliative care volunteers face unique challenges in supporting terminally ill patients. Volunteer support in hospital settings is possible and appropriate, if sufficient support is available to mitigate the challenges associated with complex, high-acuity care.

Nurse staffing models in medical-surgical units of acute care settings: A cross-sectional study

BACKGROUND

Nurse staffing models have been developed across different countries to address nursing shortages and improve quality of nursing care. However, there is no published study that describes nurse staffing models in Ethiopian hospitals.

AIMS

To describe the existing staffing models for nursing practice in acute care units of two hospitals (one public and one private) in Ethiopia.

METHODS

A cross-sectional study was conducted from July to December 2018. A self-administered questionnaire was used to collect data such as shift patterns, hours worked, and number of patients cared for per shift. Unit-level data on nurse staffing were collected using a checklist developed specifically for this study.

RESULTS

Fifty-nine percent (59.9%) of participants reported that they worked six or seven days per week. On average, they worked 50 hours per week and 12% working over 60 hours per week. The number of patients they provided care for during their last shift ranged from four to 45 with an average of 13 patients.

CONCLUSION

This study demonstrates that nurses working in acute care settings in Ethiopia are typically working more than 40 hours per week and caring for many patients per shift, which has the potential to impact patient safety.

A quantitative systematic review of the association between nurse skill mix and nursing-sensitive patient outcomes in the acute care setting

AIMS

To examine the association between nurse skill mix (the proportion of total hours provided by Registered Nurses) and patient outcomes in acute care hospitals.

DESIGN

A quantitative systematic review included studies published in English between January 2000 - September 2018.

DATA SOURCES

Cochrane Library, CINAHL Plus with Full Text, MEDLINE, Scopus, Web of Science and Joanna Briggs Institute were searched. Observational and experimental study designs were included. Mix-methods designs were included if the quantitative component met the criteria.

REVIEW METHODS

The Systematic Review guidelines of the Joanna Briggs Institute and its critical appraisal instrument were used. An inverse association was determined when seventy-five percent or more of studies with significant results found this association.

RESULTS

Sixty-three articles were included. Twelve patient outcomes were inversely associated with nursing skill mix (i.e., higher nursing skill mix was significantly associated with improved patient outcomes). These were length of stay; ulcer, gastritis and upper gastrointestinal bleeds; acute myocardial infarction; restraint use; failure-to-rescue; pneumonia; sepsis; urinary tract infection; mortality/30-day mortality; pressure injury; infections and shock/cardiac arrest/heart failure.

CONCLUSION

Nursing skill mix affected 12 patient outcomes. However, further investigation using experimental or longitudinal study designs are required to establish causal relationships. Consensus on the definition of skill mix is required to enable more robust evaluation of the impact of changes in skill mix on patient outcomes.

IMPACT

Skill mix is perhaps more important than the number of nurses in reducing adverse patient outcomes such as mortality and failure to rescue, albeit the optimal staffing profile remains elusive in workforce planning.

Quality and safety of in-hospital care for acute medical patients at weekends: a qualitative study

BACKGROUND

The increased mortality risk associated with weekend admission to hospital (the 'weekend effect') has been reported across many health systems. More recently research has focused on causal mechanisms. Variations in the organisation and delivery of in-hospital care between weekends and weekdays have been identified, but this is not always to the detriment of weekend admissions, and the impact on mortality is uncertain. The insights of frontline staff and patients have been neglected. This article reports a qualitative study of patients and clinicians, to explore their views on quality and safety of care at weekends.

METHODS

We conducted focus groups and interviews with clinicians and patients with experience of acute medical care, recruited from three UK hospital Trusts. We analysed the data using a thematic analysis approach, aided by the use of NVivo, to explore quality and safety of care at weekends.

RESULTS

We held four focus groups and completed six in-depth interviews, with 19 clinicians and 12 patients. Four threats to quality and safety were identified as being more prominent at weekends, relating to i) the rescue and stabilisation of sick patients; ii) monitoring and responding to deterioration; iii) timely accurate management of the therapeutic pathway; iv) errors of omission and commission.

CONCLUSIONS

At weekends patients and staff are well aware of suboptimal staffing numbers, skill mix and access to resources at weekends, and identify that emergency admissions are prioritised over those already hospitalised. The consequences in terms of quality and safety and patient experience of care are undesirable. Our findings suggest the value of focusing on care processes and systems resilience over the weekends, and how these can be better supported, even in the limited resource environment that exists in many hospitals at weekends.

Nurse-staffing level and quality of acute care services: Evidence from cross-national panel data analysis in OECD countries

Background

Most of previous studies aimed to estimate the effect of nurse staffing on quality of acute hospital care have used stochastic methods and their results are mixed.

Objective

To measure the magnitude of effect of nurse-staffing level on increasing quality of acute care services in long-run.

Data

The number of practicing nurses’ density per 1000 population as the proxy of nurse-staffing level and three Health Care Quality Indicators (HCQI) included 30-day mortality per 100 patients based on acute myocardial infarction (MORTAMIO), hemorrhagic stroke (MORTHSTO) and ischemic stroke (MORTISTO) were collected as a part of ongoing project by OECD.org in panels of 26 OECD countries over 2005–2015 period.

Method

Panel data analysis.

Results

There were committed relationships from nurse-staffing level to the enhancement of HCQI i.e. 1% increase in nurse-staffing level would reduce the rates of patient mortality based on MORTAMIO, MORTHSTO and MORTISTO by 0.65%, 0.60% and 0.80%, respectively. Furthermore, the role of nurse-staffing level in increasing overall HCQI were simulated at the highest level in Sweden (−3.53), Denmark (−3.31), Canada (−2.59), Netherlands (−2.33), Finland (−2.09), Switzerland (−1.72), Australia (−1.64) and United States (−1.53).

Conclusion

A higher proportion of nurses-staffing level is associated with higher quality of acute care services in OECD countries. Also, the nursing characteristics of Sweden, Denmark, Canada, Netherlands, Finland, Switzerland, Australia and United States would be good patterns for other countries to maximize nursing outcomes in the care of patients with acute and life-threatening conditions by reducing the risk of complication, mortality and adverse clinical outcomes.

Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal cohort study

Objective

To determine the association between daily levels of registered nurse (RN) and nursing assistant staffing and hospital mortality.

Design

This is a retrospective longitudinal observational study using routinely collected data. We used multilevel/hierarchical mixed-effects regression models to explore the association between patient outcomes and daily variation in RN and nursing assistant staffing, measured as hours per patient per day relative to ward mean. Analyses were controlled for ward and patient risk.

Participants

138 133 adult patients spending >1 days on general wards between 1 April 2012 and 31 March 2015.

Outcomes

In-hospital deaths.

Results

Hospital mortality was 4.1%. The hazard of death was increased by 3% for every day a patient experienced RN staffing below ward mean (adjusted HR (aHR) 1.03, 95% CI 1.01 to 1.05). Relative to ward mean, each additional hour of RN care available over the first 5 days of a patient’s stay was associated with 3% reduction in the hazard of death (aHR 0.97, 95% CI 0.94 to 1.0). Days where admissions per RN exceeded 125% of the ward mean were associated with an increased hazard of death (aHR 1.05, 95% CI 1.01 1.09). Although low nursing assistant staffing was associated with increases in mortality, high nursing assistant staffing was also associated with increased mortality.

Conclusion

Lower RN staffing and higher levels of admissions per RN are associated with increased risk of death during an admission to hospital. These findings highlight the possible consequences of reduced nurse staffing and do not give support to policies that encourage the use of nursing assistants to compensate for shortages of RNs.

A Mixed Methods Study of Tele-ICU Nursing Interventions to Prevent Failure to Rescue of Patients in Critical Care

Background: Failure to rescue (FTR) is a benchmark of quality care. Limited evidence exists examining the influence of telemedicine intensive care units (tele-ICU) nursing interventions in preventing FTR. The purpose of this study was to characterize tele-ICU nursing interventions and to determine which combination of documented tele-ICU nursing interventions (DTNI) best predicts prevention of FTR in ICU patients with hospital-acquired conditions (HACs). Materials and Methods: We used convergent parallel mixed methods design to conduct qualitative interviews with a purposive sample of tele-ICU nurses (n = 19) from 11 US tele-ICU centers. Quantitative data, including demographics, DTNIs, severity of illness scores, and video assessment times from January 2016 to December 2016 were retrieved for ICU patients discharged from a multihospital health system with a tele-ICU center (n = 861). Findings from both qualitative and quantitative analyses were merged, compared, and contrasted. Results: FTR patients had higher severity of illness, longer video assessment by tele-ICU nurses, and were more likely to have DTNIs related to hemodynamic instability. Four themes emerged from qualitative analysis: fundamental tele-ICU nurse attributes, proactive clinical practice, effective collaborative relationships, and strategic use of advanced technology. Mixed methods analysis revealed convergence between DTNIs and tele-ICU nurses' characterizations of their practice. Conclusions: Tele-ICU nurses' characterizations of their practice closely align with DTNIs. Tele-ICU nursing practice to prevent FTR involves systems thinking and integration of many complex factors. Tele-ICU nurses can reduce the odds of FTR with focus on support and clinical coordination interventions that avoid hemodynamic instability in ICU patients with a diagnosed HAC.

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.

Evidence on Nurse Staffing Ratios and Patient Outcomes in a Low-Income Country: Implications for Future Research and Practice

BACKGROUND

Conclusive evidence on the effect of nurse staffing ratios on nurse-sensitive outcomes (NSOs) has not yet been achieved worldwide.

AIMS

To describe the relationship between nurse staffing and NSOs at a Magnet designated, university hospital a low-income country.

METHODS

A 48-month prospective study assessed the relationship between nurse staffing and six patient outcomes or NSOs in medical-surgical units and critical care units (CCUs). Nurse staffing was measured by nursing hours per patient day (NHPPD) and skill mix, whereas NSOs were total falls and injury falls per 1,000 patient days, percent of surveyed patients with hospital-acquired pressure injuries (HAPI), catheter-associated urinary tract infections, ventilator-associated pneumonia, and central line-associated bloodstream infections (CLABSI) per 1,000 central line days.

RESULTS

The odds for total falls, injury falls, HAPI, and CLABSI in the medical-surgical units were higher with lower NHPPD ratios, OR = 4.67, p = .000; OR = 4.33, p = .001; OR = 3.77, p = .004 and OR = 2.61, p = .006, respectively. For the CCUs, lower rates of NHPPD increased the odds for total falls, OR = 6.25, p = .0007, HAPIs OR = 3.91, p = .001 and CLABSI, OR = 4.78, p = .000. Skill mix was associated with total falls, OR = 2.40, p = .005 and HAPIs OR = 2.07, p = .03 in the medical-surgical units but had no effect in any NSOs in the CCUs.

LINKING EVIDENCE TO ACTION

Higher rates of nurses per patient were effective in improving some NSOs but not others. Skill mix had no effect on any of the six NSOs in the CCUs. As such, the results remain inconclusive as the benefits of the higher nurse to patient ratios in this low-income country warranting further multisite studies in different settings and countries.

Review: Continuous Monitoring to Detect Failure to Rescue in Adult Postoperative Inpatients

Failure to rescue, or the unexpected death of a patient due to a preventable complication, is a nationally documented problem with numerous and multifaceted contributing factors. These factors include the frequency and method of collecting vital sign data, response to abnormal vital signs, and delays in the escalation of care for general ward patients who are showing signs of clinical deterioration. Patients' clinical deterioration can be complicated by concurrent secondary factors, including opioid abuse/dependence, being uninsured, or having sleep-disordered breathing. Using the Johns Hopkins Nursing Evidence-Based Practice Model, this integrative review synthesizes 43 research and nonresearch sources of evidence. Published between 2001 and 2017, these sources of evidence focus on failure to rescue, the multifaceted contributing factors to failure to rescue, and how continuous vital sign monitoring could ameliorate failure to rescue and its causes. Recommendations from the sources of evidence have been divided into system, structural, or technological categories.

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

Background:

Nurses are pivotal in the provision of high quality care in acute hospitals. However, the optimal dosing of the number of nurses caring for patients remains elusive. In light of this, an updated review of the evidence on the effect of nurse staffing levels on patient outcomes is required.

Aim:

To undertake a systematic review and meta-analysis examining the association between nurse staffing levels and nurse-sensitive patient outcomes in acute specialist units.

Methods:

Nine electronic databases were searched for English articles published between 2006 and 2017. The primary outcomes were nurse-sensitive patient outcomes.

Results:

Of 3429 unique articles identified, 35 met the inclusion criteria. All were cross-sectional and the majority utilised large administrative databases. Higher staffing levels were associated with reduced mortality, medication errors, ulcers, restraint use, infections, pneumonia, higher aspirin use and a greater number of patients receiving percutaneous coronary intervention within 90 minutes. A meta-analysis involving 175,755 patients, from six studies, admitted to the intensive care unit and/or cardiac/cardiothoracic units showed that a higher nurse staffing level decreased the risk of inhospital mortality by 14% (0.86, 95% confidence interval 0.79–0.94). However, the meta-analysis also showed high heterogeneity (I2=86%).

Conclusion:

Nurse-to-patient ratios influence many patient outcomes, most markedly inhospital mortality. More studies need to be conducted on the association of nurse-to-patient ratios with nurse-sensitive patient outcomes to offset the paucity and weaknesses of research in this area. This would provide further evidence for recommendations of optimal nurse-to-patient ratios in acute specialist units.

Intrahospital transfers and the impact on nursing workload

AIMS AND OBJECTIVES

To determine the rate of patient moves and the impact on nurses' time.

BACKGROUND

Bed shortages and strategies designed to increase patient flow have led to a global increase in patient transfers between wards. The impact of transferring patients between wards and between beds within a ward on nurses' workload has not previously been measured.

DESIGN

A two-stage sequential study. Retrospective analysis of hospital data and a prospective observational-timing study.

METHODS

Secondary analysis of an administrative data set to inform the rate of ward and bed transfers (n = 34,715) was undertaken followed by an observational-timing study of nurses' activities associated with patient transfers (n = 75).

RESULTS

Over 10,000 patients were moved 34,715 times in 1 year which equates to an average of 2.4 transfers per patient. On average, patient transfers took 42 min and bed transfers took 11 min of nurses' time. Based on the frequency of patient moves, 11.3 full-time equivalent nurses are needed to move patients within the site hospital each month.

CONCLUSION

Transferring patients is workload intensive on nurses' time and should be included in nursing workload measurement systems.

RELEVANCE TO CLINICAL PRACTICE

Nurses at the site hospital spend over 1700 hr each month on activities associated with transferring patients, meaning that less time is available for nursing care.

Patient Turnover: A Concept Analysis

Patient turnover influences the quality and safety of patient care. However, variations in the conceptual underpinnings of patient turnover limit the understanding of the phenomenon. A concept analysis was completed to clarify the role of patient turnover in relation to outcomes in the acute care hospital setting. The defining attributes, antecedents, consequences, and empirical referents of patient turnover were proposed. Nursing leaders should account for patient turnover in workload and staffing calculations. Further research is needed to clarify the influence of patient turnover on the quality and safety of nursing care using a unified understanding of the phenomenon.

Impact of delayed admission to intensive care units on patients with acute respiratory failure

BACKGROUND/PURPOSE

To determine the impact of delayed admission to the intensive care unit (ICU) on the clinical outcomes of patients with acute respiratory failure (ARF) in the emergency department (ED).

METHODS

This retrospective cohort study included non-traumatic adult patients with ARF and mechanical ventilation support in the ED of a tertiary university hospital in Taiwan from January 1, 2013, to August 31, 2013. Clinical data were extracted from chart records. The primary and secondary outcome measures were a prolonged hospital stay (>30 days) and the in-hospital crude mortality within 90 days, respectively.

RESULTS

For 267 eligible patients (age range 21.0-98.0 years, mean 70.5±15.1 years; male 184, 68.9%), multivariate analysis was used to determine the significant adverse effects of an ED stay >1.0 hour on in-hospital crude mortality (odds ratio 2.19, P<.05), which was thus defined as delayed ICU admission. In-hospital mortality significantly differed between patients with delayed ICU admission and those without delayed admission, as revealed by the Kaplan-Meier survival curves (P<.05). Moreover, a linear-by-linear correlation was observed between the length of ICU waiting time in the ED and the lengths of total hospital stay (r=0.152, P<.05), ICU stay (r=0.148, P<.05), and ventilator support (r=0.222, P<.05).

CONCLUSIONS

For patients with ARF who required mechanical ventilation support and intensive care, a delayed ICU admission more than 1.0 hour is a strong determinant of mortality and is associated with a longer ICU stay and a longer need for ventilation.

Missed Nursing Care and Unit-Level Nurse Workload in the Acute and Post-Acute Settings

This study replicates previous research on the nature and causes of missed nursing care and adds an explanatory variable: unit-level nurse workload (patient turnover percentage). The study was conducted in California, which legally mandates nurse staffing ratios. Findings demonstrated no significant relationship between patient turnover and missed nursing care.

Comparison of Unit-Level Patient Turnover Measures in Acute Care Hospital Settings

High patient turnover is a critical factor increasing nursing workload. Despite the growing number of studies on patient turnover, no consensus about how to measure turnover has been achieved. This study was designed to assess the correlation among patient turnover measures commonly used in recent studies and to examine the degree of agreement among the measures for classifying units with different levels of patient turnover. Using unit-level data collected for this study from 292 units in 88 hospitals participating in the National Database of Nursing Quality Indicators®, we compared four patient turnover measures: the inverse of length of stay (1/LOS), admissions, discharges, and transfers per daily census (ADTC), ADTC with short-stay adjustment, and the number of ADTs and short-stay patients divided by the total number of treated patients, or Unit Activity Index (UAI). We assessed the measures' agreement on turnover quartile classifications, using percent agreement and Cohen's kappa statistic (weighted and unweighted). Pearson correlation coefficients also were calculated. ADTC with or without adjustment for short-stay patients had high correlations and substantial agreement with the measure of 1/LOS (κ = .62 to .91; r = .90 to .95). The UAI measure required data less commonly collected by participating hospital units and showed only moderate correlations and fair agreement with the other measures (κ = .23 to .39; r = .41 to .45). The UAI may not be comparable and interchangeable with other patient turnover measures when data are obtained from multiple units and hospitals. © 2016 Wiley Periodicals, Inc.

The relationship between nurse staffing and length of stay in acute-care: a one-year time-series data

AIM

To examine the relationship between nurse staffing and patient length of stay in an acute-care hospital over a 1-year period.

BACKGROUND

Although there has been prior research on the relationship between nurse staffing and length of stay in acute-care hospitals, there is a need for more information on how nurse staffing is related to length of stay longitudinally.

METHODS

Retrospective time-series registry data from 20 acute-care inpatient units of a Finnish university hospital as a monthly time series in 2008 were analysed by linear mixed models.

RESULTS

The ratio of registered nurses to all nurses was 72.4%. Nurses worked mainly (96%) full time, and 63% had permanent employment contracts. Statistically significant variation was found in time series of five variables. Statistically significant relationships were found between length of stay and patient acuity, diagnosis-related group-volume, census and nursing hours per patient day at the unit level. Nursing hours per patient day had the strongest correlation with length of stay.

CONCLUSION AND IMPLICATIONS FOR NURSING MANAGEMENT

A rational response to the variations in patient care needs and intensity in the complex care environment is flexible nurse staffing. Increasing nursing hours per patient day to achieve shorter length of stays is not the only solution, well-functioning care processes are also essential.

Understanding the Role of the Professional Practice Environment on Quality of Care in Magnet® and Non-Magnet Hospitals

OBJECTIVE

The aim of this study was to explore the relationship between Magnet RecognitionA and nurse-reported quality of care.

BACKGROUND

MagnetA hospitals are recognized for nursing excellence and quality patient outcomes; however, few studies have explored contributing factors for these superior outcomes.

METHODS

This was a secondary analysis of linked nurse survey data, hospital administrative data, and a listing of American Nurses Credentialing Center Magnet hospitals. Multivariate regressions were modeled before and after propensity score matching to assess the relationship between Magnet status and quality of care. A mediation model assessed the indirect effect of the professional practice environment on quality of care.

RESULTS

Nurse-reported quality of care was significantly associated with Magnet Recognition after matching. The professional practice environment mediates the relationship between Magnet status and quality of care.

CONCLUSION

A prominent feature of Magnet hospitals, a professional practice environment that is supportive of nursing, plays a role in explaining why Magnet hospitals have better nurse-reported quality of care.

An Integrative Literature Review of Patient Turnover in Inpatient Hospital Settings

High patient turnover can result in fragmentation of nursing care. It can also increase nursing workload and thus impede the ability of nurses to provide safe and high-quality care. We reviewed 20 studies that examined patient turnover in relation to nursing workload, staffing, and patient outcomes as well as interventions in inpatient hospital settings. The studies consistently addressed the importance of accounting for patient turnover when estimating nurse staffing needs. They also showed that patient turnover varied by time, day, and unit type. Researchers found that higher patient turnover was associated with adverse events; however, further research on this topic is needed because evidence on the effect of patient turnover on patient outcomes is not yet strong and conclusive. We suggest that researchers and administrators need to pay more attention to patterns and levels of patient turnover and implement managerial strategies to reduce nursing workload and improve patient outcomes.

Comparison of Nurse Staffing Measurements in Staffing-Outcomes Research

BACKGROUND

Investigators have used a variety of operational definitions of nursing hours of care in measuring nurse staffing for health services research. However, little is known about which approach is best for nurse staffing measurement.

OBJECTIVE

To examine whether various nursing hours measures yield different model estimations when predicting patient outcomes and to determine the best method to measure nurse staffing based on the model estimations.

DATA SOURCES/SETTING

We analyzed data from the University HealthSystem Consortium for 2005. The sample comprised 208 hospital-quarter observations from 54 hospitals, representing information on 971 adult-care units and about 1 million inpatient discharges.

METHODS

We compared regression models using different combinations of staffing measures based on productive/nonproductive and direct-care/indirect-care hours. Akaike Information Criterion and Bayesian Information Criterion were used in the assessment of staffing measure performance.

RESULTS

The models that included the staffing measure calculated from productive hours by direct-care providers were best, in general. However, the Akaike Information Criterion and Bayesian Information Criterion differences between models were small, indicating that distinguishing nonproductive and indirect-care hours from productive direct-care hours does not substantially affect the approximation of the relationship between nurse staffing and patient outcomes.

CONCLUSIONS

This study is the first to explicitly evaluate various measures of nurse staffing. Productive hours by direct-care providers are the strongest measure related to patient outcomes and thus should be preferred in research on nurse staffing and patient outcomes.

The future shortage of doctoral prepared nurses and the impact on the nursing shortage

Nursing remains at the top of the job growth market and has the potential to positively or negatively impact changes in the delivery of health care today. Professional nurses play a crucial role in the prevention of medication errors, decreasing infection rates, and facilitating a patient's safe transition from acute care into the home environment. Nurses must make critical life-saving decisions associated with caring for the more acutely ill patient. Doctoral prepared nurses have the unique position to assist the direct care nurse because of their advanced education. The doctor in nursing practice concentrates on direct care, specifically research utilization for improved delivery of care, patient outcomes, and clinical systems management There is a future shortage of doctoral prepared nurses, and a resolution is needed. Doctoral prepared nurses with advanced degrees play an important role in mentoring the bedside nurse to promote an interdisciplinary collaborative relationship. The doctor in nursing practice has the ability to effect change in health care systems, organizations, and policy through focusing on the essence of nursing-the care.

A study of nurses’ ethical climate perceptions

Background:

Acting ethically, in accordance with professional and personal moral values, lies at the heart of nursing practice. However, contextual factors, or obstacles within the work environment, can constrain nurses in their ethical practice – hence the importance of the workplace ethical climate. Interest in nurse workplace ethical climates has snowballed in recent years because the ethical climate has emerged as a key variable in the experience of nurse moral distress. Significantly, this study appears to be the first of its kind carried out in New Zealand.

Aim/objective:

The purpose of this study was to explore and describe how registered nurses working on a medical ward in a New Zealand hospital perceive their workplace ethical climate.

Research design/participants/context:

This was a small, qualitative descriptive study. Seven registered nurses were interviewed in two focus group meetings. An inductive method of thematic data analysis was used for this research.

Ethical considerations:

Ethics approval for this study was granted by the New Zealand Ministry of Health’s Central Regional Health and Disability Ethics Committee on 14 June 2012.

Findings:

The themes identified in the data centred on three dominant elements that – together – shaped the prevailing ethical climate: staffing levels, patient throughput and the attitude of some managers towards nursing staff.

Discussion:

While findings from this study regarding staffing levels and the power dynamics between nurses and managers support those from other ethical climate studies, of note is the impact of patient throughput on local nurses’ ethical practice. This issue has not been singled out as having a detrimental influence on ethical climates elsewhere.

Conclusion:

Moral distress is inevitable in an ethical climate where the organisation’s main priorities are perceived by nursing staff to be budget and patient throughput, rather than patient safety and care.

Use of Electronic Health-Related Datasets in Nursing and Health-Related Research

Datasets of gigabyte size are common in medical sciences. There is increasing consensus that significant untapped knowledge lies hidden in these large datasets. This review article aims to discuss Electronic Health-Related Datasets (EHRDs) in terms of types, features, advantages, limitations, and possible use in nursing and health-related research. Major scientific databases, MEDLINE, ScienceDirect, and Scopus, were searched for studies or review articles regarding using EHRDs in research. A total number of 442 articles were located. After application of study inclusion criteria, 113 articles were included in the final review. EHRDs were categorized into Electronic Administrative Health-Related Datasets and Electronic Clinical Health-Related Datasets. Subcategories of each major category were identified. EHRDs are invaluable assets for nursing the health-related research. Advanced research skills such as using analytical softwares, advanced statistical procedures, dealing with missing data and missing variables will maximize the efficient utilization of EHRDs in research.

Modeling hospital-acquired pressure ulcer prevalence on medical-surgical units: nurse workload, expertise, and clinical processes of care

OBJECTIVE

This study modeled the predictive power of unit/patient characteristics, nurse workload, nurse expertise, and hospital-acquired pressure ulcer (HAPU) preventive clinical processes of care on unit-level prevalence of HAPUs.

DATA SOURCES

Seven hundred and eighty-nine medical-surgical units (215 hospitals) in 2009.

STUDY DESIGN

Using unit-level data, HAPUs were modeled with Poisson regression with zero-inflation (due to low prevalence of HAPUs) with significant covariates as predictors.

DATA COLLECTION/EXTRACTION METHODS

Hospitals submitted data on NQF endorsed ongoing performance measures to CALNOC registry.

PRINCIPAL FINDINGS

Fewer HAPUs were predicted by a combination of unit/patient characteristics (shorter length of stay, fewer patients at-risk, fewer male patients), RN workload (more hours of care, greater patient [bed] turnover), RN expertise (more years of experience, fewer contract staff hours), and processes of care (more risk assessment completed).

CONCLUSIONS

Unit/patient characteristics were potent HAPU predictors yet generally are not modifiable. RN workload, nurse expertise, and processes of care (risk assessment/interventions) are significant predictors that can be addressed to reduce HAPU. Support strategies may be needed for units where experienced full-time nurses are not available for HAPU prevention. Further research is warranted to test these finding in the context of higher HAPU prevalence.

Concurrent and lagged effects of registered nurse turnover and staffing on unit-acquired pressure ulcers

OBJECTIVE

We examined the concurrent and lagged effects of registered nurse (RN) turnover on unit-acquired pressure ulcer rates and whether RN staffing mediated the effects.

DATA SOURCES/SETTING

Quarterly unit-level data were obtained from the National Database of Nursing Quality Indicators for 2008 to 2010. A total of 10,935 unit-quarter observations (2,294 units, 465 hospitals) were analyzed.

METHODS

This longitudinal study used multilevel regressions and tested time-lagged effects of study variables on outcomes.

FINDINGS

The lagged effect of RN turnover on unit-acquired pressure ulcers was significant, while there was no concurrent effect. For every 10 percentage-point increase in RN turnover in a quarter, the odds of a patient having a pressure ulcer increased by 4 percent in the next quarter. Higher RN turnover in a quarter was associated with lower RN staffing in the current and subsequent quarters. Higher RN staffing was associated with lower pressure ulcer rates, but it did not mediate the relationship between turnover and pressure ulcers.

CONCLUSIONS

We suggest that RN turnover is an important factor that affects pressure ulcer rates and RN staffing needed for high-quality patient care. Given the high RN turnover rates, hospital and nursing administrators should prepare for its negative effect on patient outcomes.

Understanding the role of the professional practice environment on quality of care in Magnet® and non-Magnet hospitals

OBJECTIVE

The aim of this study was to explore the relationship between Magnet Recognition® and nurse-reported quality of care.

BACKGROUND

Magnet® hospitals are recognized for nursing excellence and quality patient outcomes; however, few studies have explored contributing factors for these superior outcomes.

METHODS

This was a secondary analysis of linked nurse survey data, hospital administrative data, and a listing of American Nurses Credentialing Center Magnet hospitals. Multivariate regressions were modeled before and after propensity score matching to assess the relationship between Magnet status and quality of care. A mediation model assessed the indirect effect of the professional practice environment on quality of care.

RESULTS

Nurse-reported quality of care was significantly associated with Magnet Recognition after matching. The professional practice environment mediates the relationship between Magnet status and quality of care.

CONCLUSION

A prominent feature of Magnet hospitals, a professional practice environment that is supportive of nursing, plays a role in explaining why Magnet hospitals have better nurse-reported quality of care.

Turning over patient turnover: an ethnographic study of admissions, discharges, and transfers

The impact on nursing work of patient turnover (admissions, discharges, and transfers) became evident in an ethnographic study of turbulence. The patient turnover data were generated from extensive observations, 21 formal interviews, and a year of admission and discharge records on one medical and one surgical unit. Timing of turnover events on the two units differed, but on both units admissions typically interrupted workflow more than did discharges, clustered admissions were more disruptive than staggered admissions, and patient turnover during change of shift was more disruptive than during medication administration. Understanding the complexity of patient turnover will elucidate the work involved and improve the evidence base for nurse staffing, a key determinant of quality and safety of care.

Organizational and Individual Attributes Influencing Patient Risk Detection

This study examined organizational and individual variables impacting patient risk detection by Intensive Care Unit nurses and their decision to reduce the risk of failure to rescue. Thirty-four nurses were randomly assigned to two groups. A video of a manager and staff nurse patient safety discussion was used to prime one group to prioritize patient safety. Participants provided demographic information, received end-of-shift report on two fictional patients, experienced 52 alarm trials during a medication preparation scenario, and completed the Safety Attitude Questionnaire. No difference existed in risk detection; however, nurses who perceived their work environment quality to be good correctly ignored a clinically irrelevant alarm more often and were more apt to classify an alarm as irrelevant. They chose to reduce the risk of medication error rather than that of failure to rescue. This information can assist nurses to balance disregarding distractions with responding to potential patient risk signals.