The relationship between in-hospital mortality, readmission into the intensive care nursing unit and/or operating theatre and nurse staffing levels

Hospital nursing factors associated with decreased odds of mortality in older adult medicare surgical patients with depression

Background

Depression is common, costly, and has deleterious effects in older adult surgical patients. Little research exists examining older adult surgical patient outcomes and depression and the potential for nursing factors to affect these outcomes. The purpose of this study was to determine the relationship between hospital nursing resources, 30-day mortality; and the impact of depression on this relationship.

Methods

This was a retrospective cohort study employing a national nurse survey, hospital data, and Medicare claims data from 2006–2007. The sample included: 296,561 older adult patients, aged 65–90, who had general, orthopedic, or vascular surgery in acute care general hospitals from 2006–2007, 533 hospitals and 24,837 nurses. Random effects models were used to analyze the association between depression, hospital nursing resources, and mortality.

Results

Every added patient per nurse was associated with a 4% increase in the risk-adjusted odds of mortality in patients with depression (p < 0.05). Among all patients, every 10% increase in the proportion of bachelor’s prepared nurses was associated with a 4% decrease in the odds of mortality (p < 0.001) and a one standard deviation increase in the work environment was associated with a 5% decrease in the odds of mortality (p < 0.05).

Conclusions

For older adult patients hospitalized for surgery, the risk of mortality is associated with higher patient to nurse ratio, lower proportion of BSN prepared nurses in the hospital, and worse hospital work environment. Addressing the mental health care needs of older adults in the general care hospital setting is critical to ensuring positive outcomes after surgery. Hospital protocols to lower the risk of surgical mortality in older adults with and without depression could include improving nurse resources.

Nurse staffing and patient-perceived quality of nursing care: a cross-sectional analysis of survey and administrative data in German hospitals

OBJECTIVE

To examine the impact of nurse staffing on patient-perceived quality of nursing care. We differentiate nurse staffing levels and nursing skill mix as two facets of nurse staffing and use a multidimensional instrument for patient-perceived quality of nursing care. We investigate non-linear and interaction effects.

SETTING

The study setting was 3458 hospital units in 1017 hospitals in Germany.

PARTICIPANTS

We contacted 212 554 patients discharged from non-paediatric, non-intensive and non-psychiatric hospital units who stayed at least two nights in the hospital between January and October 2019. Of those, 30 174 responded, yielding a response rate of 14.2%. Our sample included only those patients. After excluding extreme values for our nurse staffing variables and removing observations with missing values, our final sample comprised 28 136 patients ranging from 18 to 97 years of age (average: 61.12 years) who had been discharged from 3458 distinct hospital units in 1017 hospitals.

PRIMARY AND SECONDARY OUTCOME MEASURES

Patient-perceived quality of nursing care (general nursing care, guidance provided by nurses, and patient loyalty to the hospital).

RESULTS

For all three dimensions of patient-perceived quality of nursing care, we found that they significantly decreased as (1) nurse staffing levels decreased (with decreasing marginal effects) and (2) the proportion of assistant nurses in a hospital unit increased. The association between nurse staffing levels and quality of nursing care was more pronounced among patients who were less clinically complex, were admitted to smaller hospitals or were admitted to medical units.

CONCLUSIONS

Our results indicate that, in addition to nurse staffing levels, nursing skill mix is crucial for providing the best possible quality of nursing care from the patient perspective and both should be considered when designing policies such as minimum staffing regulations to improve the quality of nursing care in hospitals.

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

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

Staffing levels and nursing-sensitive patient outcomes: Umbrella review and qualitative study

Objective

To derive a comprehensive list of nursing‐sensitive patient outcomes (NSPOs) from published research on nurse staffing levels and from expert opinion.

Data Sources/Study Setting

Published literature reviews and their primary studies analyzing the link between nurse staffing levels and NSPOs and interviews with 16 experts on nursing care.

Study Design

Umbrella review and expert interviews.

Data Collection/Extraction Methods

We screened three electronic databases for literature reviews on the association between nurse staffing levels and NSPOs. After screening 430 potentially relevant records, we included 15 literature reviews, derived a list of 22 unique NSPOs from them, and ranked these in a systematic fashion according to the strength of evidence existing for their association with nurse staffing. We extended this list of NSPOs based on data from expert interviews.

Principal Findings

Of the 22 NSPOs discussed in the 15 included literature reviews, we rated the strength of evidence for four as high, for five as moderate, and for 13 outcomes as low. Four additional NSPOs that have not been considered in literature were identified through expert interviews.

Conclusions

We identified strong evidence for a significant association between nurse staffing levels and NSPOs. Our results may guide researchers in selecting NSPOs they might wish to prioritize in future studies. In particular, rarely studied NSPOs as well as NSPOs that were only identified through expert interviews but have not been considered in literature so far should be subject to further research.

The development of critical care nursing education in Zambia

BACKGROUND

Critical care services reflect the healthcare services they support. In many low-to-middle-income countries (LMICs), balancing a sparse workforce, resources and competing demands to fund services, is a significant challenge when providing critical care. In Zambia, critical care has evolved significantly over the past 10 years. This article explores the provision of critical care services and the review and validation of a critical care nursing course.

OBJECTIVES

To review the literature relating to critical care nursing in sub-Saharan Africa to support a review and validation of the current critical care nursing course and to prepare a framework for a Bachelor of Science (BSc) in critical care nursing programme in Zambia.

RESULTS

A search of the published literature identified key themes, including a paucity of evidence, limited educational opportunities, a lack of national and international opportunities, protocols and standards, and the challenges of providing technical services. The subsequent review and validation took account of these themes.

CONCLUSION

This project has had an impact on improving critical care nurses' knowledge and skills and provided the foundations for the BSc in critical care nursing.

Intensive care nurse staffing and nurse outcomes: A systematic review

BACKGROUND

Intensive care units (ICU) are associated with significant work stress and exert continuous physical and emotional demand upon health care providers. The health and well-being of care providers, including ICU nurses, is a matter of great concern. However, to the researcher's knowledge, there have been no reviews synthesizing the evidence about the relationship between nurse staffing and nurse outcomes in the ICU.

PURPOSE

The purpose of this systematic review was to examine nurse staffing in the ICU and synthesize literature to examine the relationship with nurse outcomes such as job satisfaction, burnout, fatigue, and intent to leave.

METHODS

This review was reported based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Peer-reviewed articles published between January 2000 and September 2019 were identified via eight electronic bibliographic databases. Articles were included and reviewed if they were correlational studies examining the relationships between nurse staffing and nurse outcomes in the ICU, and were published in peer-reviewed journals written in either English or Korean. The Quality Assessment and Validity Tool for Correlation Studies was used for quality appraisal.

RESULTS

From 5086 articles, eight published between 2006 and 2019 were included in this review. Three studies found expected relationships between worse nurse staffing and adverse nurse outcomes (high burnout, fatigue state, emotional exhaustion, depersonalization, and stress). However, the relationships between nurse staffing and other adverse nurse outcomes were not significant. Perceived adequate staffing was negatively related to adverse nurse outcomes. However, a non-significant relationship also was found.

CONCLUSION

This study found limited evidence on relationships between nurse staffing and nurse outcomes in the ICU. More studies are needed to conduct to find a conclusive relationship.

RELEVANCE TO CLINICAL PRACTICE

Given high demands and workload in the ICU, nurse staffing levels should be closely monitored to prevent adverse nurse outcomes.

Association between registered nurse staffing levels and in-hospital mortality in craniotomy patients using Korean National Health Insurance data

BACKGROUND

The level of registered nurse (RN) staffing is a fundamental factor influencing patient safety. Craniotomy patients need intensive care after surgery, the majority of which is provided by RNs.

METHODS

This study was conducted to investigate the relationship of the RN staffing level of general wards and intensive care units (ICUs) with in-hospital mortality after craniotomy using Korean National Health Insurance claim data. The RN staffing level was categorized based on the bed-to-RN ratio.

RESULTS

The in-hospital mortality rate of craniotomy patients was elevated at hospitals with a high bed-to-RN ratio in general wards, ICUs, and hospitals overall. It was determined that in-hospital mortality of craniotomy patients could be decreased by more than 50% by reducing the bed-to-RN ratio from 4.5 or more to less than 3.5 in general wards, from 1.25 or more to less than 0.88 in ICUs, and from 2.5 or more to less than 1.67 in hospitals overall.

CONCLUSIONS

Since the RN staffing level is related to the in-hospital mortality rate of craniotomy patients, a sufficient staffing level of RNs should be ensured to reduce the mortality of craniotomy patients.

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.

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.

Changes in patient safety culture: A patient safety intervention for Finnish forensic psychiatric hospital staff

AIM

To evaluate how a 3-year patient safety intervention, more specifically, the implementation of a patient safety incident reporting system, influences patient safety culture.

BACKGROUND

Positive patient safety culture improves both the quality of health care and patient safety. Nevertheless, nursing managers need tools that can help them develop and evaluate patient safety culture.

METHODS

The Hospital Survey on Patient Safety Culture was used to evaluate patient safety culture at two Finnish forensic psychiatric hospitals (study and control) over two periods, baseline and follow-up. Data were analysed using Z-score and T test statistics.

RESULTS

The follow-up results from the study hospital showed that five patient safety culture dimensions exhibited a significantly (p < 0.05) positive change in positive response rates over the 3-year period. Furthermore, nine out of twelve patient safety culture dimensions at the study hospital showed a significant improvement in mean score. At the control hospital, only the dimension of frequency of reporting events showed a significantly positive change (p < 0.05) in mean score.

CONCLUSION

This research shows that the studied patient safety intervention (implementation of the patient safety incident reporting system) significantly influences patient safety culture.

IMPLICATIONS FOR NURSING MANAGEMENT

Nursing managers should utilize a variety of patient safety interventions to improve patient safety and focus on leveraging information from patient safety incidents to advance patient safety culture.

Measuring the quality of perioperative care in cardiac surgery

Quality of care is of increasing importance in health and surgical care. In order to maintain and improve quality, we must be able to measure it and identify variation. In this narrative review, we aim to identify measures used in the assessment of quality of care in cardiac surgery and to evaluate their utility. The electronic databases Pubmed/MEDLINE, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL), Cochrane Database of Systematic Reviews, and CINAHL were searched for original published studies using the terms 'cardiac surgery' and 'quality or outcome or process or structure' as either keywords in the title or text or MeSH terms. Secondary searches and identification of references from original articles were carried out. We found a total of 54 original articles evaluating measurements of quality. While structure, process, and outcome indicators remain the mainstay of quality measurement, new and innovative methods of risk assessment have improved reliability and discrimination. Continuous assessment provides a promising method of both maintaining and improving quality of care. Future studies should focus on long-term and patient-centred outcomes, such as quality-of-life measures.

Predicting excess cost for older inpatients with clinical complexity: A retrospective cohort study examining cognition, comorbidities and complications

BACKGROUND

Hospital-acquired complications increase length of stay and contribute to poorer patient outcomes. Older adults are known to be at risk for four key hospital-acquired complications (pressure injuries, pneumonia, urinary tract infections and delirium). These complications have been identified as sensitive to nursing characteristics such as staffing levels and level of education. The cost of these complications compared to the cost of admission severity, dementia, other comorbidities or age has not been established.

METHOD

To investigate costs associated with nurse-sensitive hospital-acquired complications in an older patient population 157,178 overnight public hospital episodes for all patients over age 50 from one Australian state, 2006/07 were examined. A retrospective cohort study design with linear regression analysis provided modelling of length-of-stay costs. Explanatory variables included patient age, sex, comorbidities, admission severity, dementia status, surgical status and four complications. Extra costs were based on above-average length-of-stay for each patient's Diagnosis Related Group from hospital discharge data.

RESULTS

For adults over 50 who have length of stay longer than average for their diagnostic condition, comorbid dementia predicts an extra cost of A$874, (US$1,247); any one of four key complications predicts A$812 (US$1,159); each increase in admission severity score predicts A$295 ($US421); each additional comorbidity predicts A$259 (US$370), and for each year of age above 50 predicts A$20 (US$29) (all estimates significant at p<0.0001).

DISCUSSION

Hospital-acquired complications and dementia cost more than other kinds of inpatient complexity, but admission severity is a better predictor of excess cost. Because complications are potentially preventable and dementia care in hospitals can be improved, risk-reduction strategies for common complications, particularly for patients with dementia could be cost effective.

CONCLUSIONS

Complications and dementia were found to cost more than other kinds of inpatient complexity.

Editor's Choice - Acute Cardiovascular Care Association Position Paper on Intensive Cardiovascular Care Units: An update on their definition, structure, organisation and function

Acute cardiovascular care has progressed considerably since the last position paper was published 10 years ago. It is now a well-defined, complex field with demanding multidisciplinary teamworking. The Acute Cardiovascular Care Association has provided this update of the 2005 position paper on acute cardiovascular care organisation, using a multinational working group. The patient population has changed, and intensive cardiovascular care units now manage a large range of conditions from those simply requiring specialised monitoring, to critical cardiovascular diseases with associated multi-organ failure. To describe better intensive cardiovascular care units case mix, acuity of care has been divided into three levels, and then defining intensive cardiovascular care unit functional organisation. For each level of intensive cardiovascular care unit, this document presents the aims of the units, the recommended management structure, the optimal number of staff, the need for specially trained cardiologists and cardiovascular nurses, the desired equipment and architecture, and the interaction with other departments in the hospital and other intensive cardiovascular care units in the region/area. This update emphasises cardiologist training, referring to the recently updated Acute Cardiovascular Care Association core curriculum on acute cardiovascular care. The training of nurses in acute cardiovascular care is additionally addressed. Intensive cardiovascular care unit expertise is not limited to within the unit's geographical boundaries, extending to different specialties and subspecialties of cardiology and other specialties in order to optimally manage the wide scope of acute cardiovascular conditions in frequently highly complex patients. This position paper therefore addresses the need for the inclusion of acute cardiac care and intensive cardiovascular care units within a hospital network, linking university medical centres, large community hospitals, and smaller hospitals with more limited capabilities.

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.

Registered nurses' descriptions of caring: a phenomenographic interview study

BACKGROUND

Nursing has come a long way since the days of Florence Nightingale and even though no consensus exists it would seem reasonable to assume that caring still remains the inner core, the essence of nursing. In the light of the societal, contextual and political changes that have taken place during the 21st century, it is important to explore whether these might have influenced the essence of nursing. The aim of this study was to describe registered nurses' conceptions of caring.

METHODS

A qualitative design with a phenomenographic approach was used. The interviews with twenty-one nurses took place between March and May 2013 and the transcripts were analysed inspired by Marton and Booth's description of phenomenography.

RESULTS

The analysis mirrored four qualitatively different ways of understanding caring from the nurses' perspective: caring as person-centredness, caring as safeguarding the patient's best interests, caring as nursing interventions and caring as contextually intertwined.

CONCLUSION

The most comprehensive feature of the nurses' collective understanding of caring was their recognition and acknowledgment of the person behind the patient, i.e. person-centredness. However, caring was described as being part of an intricate interplay in the care context, which has impacted on all the described conceptions of caring. Greater emphasis on the care context, i.e. the environment in which caring takes place, are warranted as this could mitigate the possibility that essential care is left unaddressed, thus contributing to better quality of care and safer patient care.

Measuring safety culture in belgian psychiatric hospitals: validation of the dutch and French translations of the hospital survey on patient safety culture

OBJECTIVES

To measure safety culture in Belgian psychiatric hospitals on 12 dimensions and to examine the psychometric properties of the Dutch and French translations of the Hospital Survey on Patient Safety Culture (HSPSC) for use in psychiatric hospitals.

METHODS

The authors analyzed 6,658 completed questionnaires (70.5% response rate) from a baseline measurement (2007-2009) in 44 psychiatric hospitals and 8,353 questionnaires (71.5% response rate) from a follow-up measurement (2011) in 46 psychiatric hospitals. Psychometric properties of the questionnaire were evaluated using item analysis, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis (Cronbach's alpha), and analysis of composite scores and inter-correlations.

RESULTS

For both translations, CFA showed an acceptable fit with the original 12-dimensional model. For the Dutch and French translations, EFA showed a 10-factor and a 9-factor optimal measurement model, respectively. Cronbach's alpha indicated an acceptable level of reliability (≥ 0.70) for 7 of 12 dimensions. Most pair-wise correlations were significant and <0.5, implying good construct validity.

CONCLUSION

The Dutch and French translations of the HSPSC were found tobe valid and reliable for measuring patient safety culture in psychiatric hospitals. Our results also suggest the use of combinations of specific dimensions as recommended in previous research.

Use of temporary nursing staff and nosocomial infections in intensive care units

AIMS AND OBJECTIVES

To examine the nature and prevalence of the use of temporary nursing staff in intensive care units and relationships between the use of temporary nursing staff and the occurrence of nosocomial infections (central line-associated blood stream infections and ventilator-associated pneumonia).

BACKGROUND

Hiring temporary nurses raises controversial issues with respect to nurse staffing, care processes and patient outcomes, yet empirical findings regarding the use of temporary nurses are mixed. Whether adverse patient outcomes in intensive care units are related to the use of temporary nursing staff remains unexamined.

DESIGN

A retrospective longitudinal design was used.

METHODS

Data were collected monthly from 12 intensive care units at six hospitals; 144 ICU-month data points were used for the analysis. Chi-square, anova and logit regression models were used to examine the research questions.

RESULTS

The intensive care units used higher levels of temporary nursing staff, but the use of temporary nursing staff was not significantly associated with nosocomial infections. Nurses' perceptions regarding staffing and resource adequacy were significantly associated with nosocomial infections.

CONCLUSIONS

No evidence was found to link the use of temporary nursing staff and nosocomial infections. Instead, nurses' perceptions of staffing adequacy were related to nosocomial infections.

RELEVANCE TO CLINICAL PRACTICE

Given the greater use of temporary nursing staff in intensive care units, nurse managers in intensive care units need to monitor the levels of temporary nurse staffing and develop a systematic approach for hospitals to assist in these nurses' adjustment, which can reduce the burden of both temporary and permanent intensive care unit nurses. In addition to quantitative measures of nurse staffing, nurses' perceptions regarding staffing adequacy can be used to measure nurse staffing in relation to adverse patient outcomes.

The effects of capital and human resource investments on hospital performance

Data are employed from a sample of New York hospitals and the Hospital Consumer Assessment Healthcare Providers and Systems database to analyze the effects of capital spending, staffing levels, and salaries on hospital performance. The most striking result is that higher average salaries are associated with lower length of stay, lower mortality rate, and higher satisfaction but are not significantly related to cost per patient. Therefore, it appears that human resource investments may be associated with better patient outcomes without significantly increasing the cost of patient care.

The comprehensive health care orientation process indicators explain hospital organisation's attractiveness: a Bayesian analysis of newly hired nurse and physician survey data

AIM

To examine the relationship of a comprehensive health care orientation process with a hospital's attractiveness.

BACKGROUND

Little is known about indicators of the employee orientation process that most likely explain a hospital organisation's attractiveness.

METHOD

Empirical data collected from registered nurses (n = 145) and physicians (n = 37) working in two specialised hospital districts. A Naive Bayes Classification was applied to examine the comprehensive orientation process indicators that predict hospital's attractiveness.

RESULTS

The model was composed of five orientation process indicators: the contribution of the orientation process to nurses' and physicians' intention to stay; the defined responsibilities of the orientation process; interaction between newcomer and colleagues; responsibilities that are adapted for tasks; and newcomers' baseline knowledge assessment that should be done before the orientation phase.

CONCLUSIONS

The Naive Bayes Classification was used to explore employee orientation process and related indicators. The model constructed provides insight that can be used in designing and implementing the orientation process to promote the hospital organisation's attractiveness.

IMPLICATIONS FOR NURSING MANAGEMENT

Managers should focus on developing fluently organised orientation practices based on the indicators that predict the hospital's attractiveness. For the purpose of personalised orientation, employees' baseline knowledge and competence level should be assessed before the orientation phase.

Acute myocardial infarction rehospitalization of the medicare fee-for-service patient: a state-level analysis exploring 30-day readmission factors

PURPOSE OF THE STUDY

Acute myocardial infarction (AMI) readmission among the older adults is frequent and costly to the Medicare Trust Fund and to the patient in preventable suffering. In this study, we explore factors that are associated with states having AMI readmission rates that are higher than the U.S. national rate.

PRIMARY PRACTICE SETTING(S)

Acute inpatient hospital settings.

METHODOLOGY AND SAMPLE

Multivariate regression analysis of 50 state-level data is used. The dependent variable AMI 30-day readmission worse than U.S. rate is based on adult Medicare fee-for-service patients hospitalized with a primary discharge diagnosis of AMI and for which a subsequent all-cause readmission occurred within 30 days of their last discharge.

RESULTS

We find one key variable--states with more β-blocker prescription given at discharge--that is significantly associated with a decrease in probability in states ranking "worse" on AMI 30-day readmission. Whereas, states with more total days of care per 1,000 Medicare enrollees, more community hospital outpatient visits per 1,000 population, and greater aspirin prescription given at discharge have a greater probability for AMI 30-day readmission to be "worse" than the U.S. national rate.

IMPLICATIONS FOR CASE MANAGEMENT PRACTICE

Case management programs targeting efficient medication reconciliation from the hospital setting to the transfer setting can potentially help minimize readmission for patients highly dependent on β-blockers for improved clinical outcomes. This intervention may be more effective than other factors to improve state-level hospital status on AMI 30-day readmission. Factors such as total days of care per 1,000 Medicare enrollees, more community hospital outpatient visits per 1,000 populations, and greater aspirin prescription given at discharge may not be as important as β-blocker prescription given at discharge.

Hospital nursing and 30-day readmissions among Medicare patients with heart failure, acute myocardial infarction, and pneumonia

Background:

Provisions of the Affordable Care Act that increase hospitals’ financial accountability for preventable readmissions have heightened interest in identifying system-level interventions to reduce readmissions.

Objectives:

To determine the relationship between hospital nursing; that is, nurse work environment, nurse staffing levels, and nurse education, and 30-day readmissions among Medicare patients with heart failure, acute myocardial infarction, and pneumonia.

Method and Design:

Analysis of linked data from California, New Jersey, and Pennsylvania that included information on the organization of hospital nursing (ie, work environment, patient-to-nurse ratios, and proportion of nurses holding a BSN degree) from a survey of nurses, as well as patient discharge data, and American Hospital Association Annual Survey data. Robust logistic regression was used to estimate the relationship between nursing factors and 30-day readmission.

Results:

Nearly 1 quarter of heart failure index admissions [23.3% (n = 39,954)], 19.1% (n=12,131) of myocardial infarction admissions, and 17.8% (n = 25,169) of pneumonia admissions were readmitted within 30 days. Each additional patient per nurse in the average nurse’s workload was associated with a 7% higher odds of readmission for heart failure [odds ratio (OR) = 1.07; confidence interval CI, 1.05–1.09], 6% for pneumonia patients (OR = 1.06; CI, 1.03–1.09), and 9% for myocardial infarction patients (OR = 1.09; CI, 1.05–1.13). Care in a hospital with a good versus poor work environment was associated with odds of readmission that were 7% lower for heart failure (OR = 0.93; CI, 0.89–0.97), 6% lower for myocardial infarction (OR = 0.94; CI, 0.88–0.98), and 10% lower for pneumonia (OR = 0.90; CI, 0.85–0.96) patients.

Conclusions:

Improving nurses’ work environments and staffing may be effective interventions for preventing readmissions.

'Care left undone' during nursing shifts: associations with workload and perceived quality of care

BACKGROUND

There is strong evidence to show that lower nurse staffing levels in hospitals are associated with worse patient outcomes. One hypothesised mechanism is the omission of necessary nursing care caused by time pressure-'missed care'.

AIM

To examine the nature and prevalence of care left undone by nurses in English National Health Service hospitals and to assess whether the number of missed care episodes is associated with nurse staffing levels and nurse ratings of the quality of nursing care and patient safety environment.

METHODS

Cross-sectional survey of 2917 registered nurses working in 401 general medical/surgical wards in 46 general acute National Health Service hospitals in England.

RESULTS

Most nurses (86%) reported that one or more care activity had been left undone due to lack of time on their last shift. Most frequently left undone were: comforting or talking with patients (66%), educating patients (52%) and developing/updating nursing care plans (47%). The number of patients per registered nurse was significantly associated with the incidence of 'missed care' (p<0.001). A mean of 7.8 activities per shift were left undone on wards that are rated as 'failing' on patient safety, compared with 2.4 where patient safety was rated as 'excellent' (p < 0.001).

CONCLUSIONS

Nurses working in English hospitals report that care is frequently left undone. Care not being delivered may be the reason low nurse staffing levels adversely affects quality and safety. Hospitals could use a nurse-rated assessment of 'missed care' as an early warning measure to identify wards with inadequate nurse staffing.

Hospital nursing and 30-day readmissions among Medicare patients with heart failure, acute myocardial infarction, and pneumonia

BACKGROUND

Provisions of the Affordable Care Act that increase hospitals' financial accountability for preventable readmissions have heightened interest in identifying system-level interventions to reduce readmissions.

OBJECTIVES

To determine the relationship between hospital nursing; that is, nurse work environment, nurse staffing levels, and nurse education, and 30-day readmissions among Medicare patients with heart failure, acute myocardial infarction, and pneumonia.

METHOD AND DESIGN

Analysis of linked data from California, New Jersey, and Pennsylvania that included information on the organization of hospital nursing (ie, work environment, patient-to-nurse ratios, and proportion of nurses holding a BSN degree) from a survey of nurses, as well as patient discharge data, and American Hospital Association Annual Survey data. Robust logistic regression was used to estimate the relationship between nursing factors and 30-day readmission.

RESULTS

Nearly 1 quarter of heart failure index admissions [23.3% (n=39,954)], 19.1% (n=12,131) of myocardial infarction admissions, and 17.8% (n=25,169) of pneumonia admissions were readmitted within 30 days. Each additional patient per nurse in the average nurse's workload was associated with a 7% higher odds of readmission for heart failure [odds ratio (OR)=1.07; confidence interval CI, 1.05-1.09], 6% for pneumonia patients (OR=1.06; CI, 1.03-1.09), and 9% for myocardial infarction patients (OR=1.09; CI, 1.05-1.13). Care in a hospital with a good versus poor work environment was associated with odds of readmission that were 7% lower for heart failure (OR=0.93; CI, 0.89-0.97), 6% lower for myocardial infarction (OR=0.94; CI, 0.88-0.98), and 10% lower for pneumonia (OR=0.90; CI, 0.85-0.96) patients.

CONCLUSIONS

Improving nurses' work environments and staffing may be effective interventions for preventing readmissions.

Early hospital readmission after kidney transplantation: patient and center-level associations

Early hospital readmission (EHR) is associated with increased morbidity, costs and transition-of-care errors. We sought to quantify rates of and risk factors for EHR after kidney transplantation (KT). We studied 32 961 Medicare primary KT recipients (2000-2005) linked to Medicare claims through the United States Renal Data System. EHR was defined as at least one hospitalization within 30 days of initial discharge after KT. The association between EHR and recipient and transplant factors was explored using Poisson regression; hierarchical modeling was used to account for study center-level differences. The overall EHR rate was 31%, and 19 independent patient-level factors associated with EHR were identified: recipient factors included older age, African American race and various comorbidities; transplant factors included ECD, length of stay and lack of induction therapy. The unadjusted rate of EHR by center ranged from 18% to 47%, but conventional center-level factors (percent African American, percent age > 60, percent deceased donor and percent expanded criteria donor) were not associated with EHR. However, intermediate total volume and average length of stay were associated with increased EHR risk. Better identification of patients at risk for early hospital readmission following KT may guide discharge planning and early posttransplant outpatient monitoring.