What Quality and Safety of Care for Patients Admitted to Clinically Inappropriate Wards: a Systematic Review

The Impact of Rationing Nursing Care on Patient Safety: A Systematic Review

BACKGROUND Rationing of nursing care (RONC) has been associated with poor patient outcomes and is a growing concern in healthcare. The aim of this systematic study was to investigate the connection between patient safety and the RONC. MATERIAL AND METHODS A thorough search of electronic databases was done to find research that examined the relationship between restricting nurse services and patient safety. The systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two reviewers (M.L. and A.P.) independently screened the titles and abstracts, and full-text articles were assessed for eligibility. Data were extracted, and a quality assessment was performed using appropriate techniques. RESULTS A total of 15 studies met the inclusion criteria. The studies included in the review demonstrated a correlation between rationing of nursing care and patient safety. The results of these studies revealed that there is an inverse relationship between rationing of nursing care and patient safety. The review found that when nursing care is rationed, there is a higher incidence of falls, medication errors, pressure ulcers, infections, and readmissions. In addition, the review identified that the work characteristics of nurses, such as workload, staffing levels, and experience, were associated with RONC. CONCLUSIONS RONC has a negative impact on patient safety outcomes. It is essential for healthcare organizations to implement effective strategies to prevent the RONC. Improving staffing levels, workload management, and communication amo0ng healthcare providers are some of the strategies that can support this.

Addressing the Knowledge Deficit in Hospital Bed Planning and Defining an Optimum Region for the Number of Different Types of Hospital Beds in an Effective Health Care System

Based upon 30-years of research by the author, a new approach to hospital bed planning and international benchmarking is proposed. The number of hospital beds per 1000 people is commonly used to compare international bed numbers. This method is flawed because it does not consider population age structure or the effect of nearness-to-death on hospital utilization. Deaths are also serving as a proxy for wider bed demand arising from undetected outbreaks of 3000 species of human pathogens. To remedy this problem, a new approach to bed modeling has been developed that plots beds per 1000 deaths against deaths per 1000 population. Lines of equivalence can be drawn on the plot to delineate countries with a higher or lower bed supply. This method is extended to attempt to define the optimum region for bed supply in an effective health care system. England is used as an example of a health system descending into operational chaos due to too few beds and manpower. The former Soviet bloc countries represent a health system overly dependent on hospital beds. Several countries also show evidence of overutilization of hospital beds. The new method is used to define a potential range for bed supply and manpower where the most effective health systems currently reside. The method is applied to total curative beds, medical beds, psychiatric beds, critical care, geriatric care, etc., and can also be used to compare different types of healthcare staff, i.e., nurses, physicians, and surgeons. Issues surrounding the optimum hospital size and the optimum average occupancy will also be discussed. The role of poor policy in the English NHS is used to show how the NHS has been led into a bed crisis. The method is also extended beyond international benchmarking to illustrate how it can be applied at a local or regional level in the process of long-term bed planning. Issues regarding the volatility in hospital admissions are also addressed to explain the need for surge capacity and why an adequate average bed occupancy margin is required for an optimally functioning hospital.

Outlier or handover: outcomes for General Medicine inpatients

Objective Patients admitted from the emergency department may be co-located on the treating team's 'home ward'. If no bed is available, patients may be sent to another ward, where they may remain under the admitting team as an 'outlier'. Conversely, care may be handed over to the team on whose home ward they are located. We conducted a retrospective analysis to understand the impact of outlier status and handovers of care on outcomes for General Medicine inpatients. Methods General Medicine admissions at the Royal Adelaide Hospital between September 2020 and November 2021 were analysed. We examined the rate of hospital-acquired complications, inpatient mortality rate, mortality within 48 h of admission, Relative Stay Index, time of discharge from hospital and rate of adverse events within 28 days of discharge. Results A total of 3109 admissions were analysed. Handovers within 24 h of admission were associated with a longer length of stay. There was a trend towards higher rates of adverse events within 28 days of discharge with handovers of care. Outlier status did not affect any outcome measures. Conclusions Handovers within the first 24 h of admission are associated with longer than expected length of stay.

Septic pulmonary emboli: a case discussion

A septic pulmonary embolus occurs from the embolisation of an infected thrombus - typically from an infected source such as an abscess - that enters the venous circulation, implanting in the lungs, which in turn causes a parenchymal infection. This case discussion gives a candid reflection on the treatment and management of a patient who was a known intravenous drug user, with a past history of a deep vein thrombosis and new presentation of a groin abscess. He was initially reviewed by a trainee advanced clinical practitioner, working out of hours in a hospital setting. This article will reflect on the patient presentation, the clinical examinations and investigations undertaken, which finally led to the diagnosis of septic pulmonary emboli. Although this condition is rare, having a high index of suspicion in patients with known risk factors may lead to early diagnosis and successful treatment.

The impact of atypical intrahospital transfers on patient outcomes: a mixed methods study

The architectural design of hospitals worldwide is centred around individual departments, which require the movement of patients between wards. However, patients do not always take the simplest route from admission to discharge, but can experience convoluted movement patterns, particularly when bed availability is low. Few studies have explored the impact of these rarer, atypical trajectories. Using a mixed-method explanatory sequential study design, we firstly used three continuous years of electronic health record data prior to the Covid-19 pandemic, from 55,152 patients admitted to a London hospital network to define the ward specialities by patient type using the Herfindahl-Hirschman index. We explored the impact of 'regular transfers' between pairs of wards with shared specialities, 'atypical transfers' between pairs of wards with no shared specialities and 'site transfers' between pairs of wards in different hospital site locations, on length of stay, 30-day readmission and mortality. Secondly, to understand the possible reasons behind atypical transfers we conducted three focus groups and three in-depth interviews with site nurse practitioners and bed managers within the same hospital network. We found that at least one atypical transfer was experienced by 12.9% of patients. Each atypical transfer is associated with a larger increase in length of stay, 2.84 days (95% CI 2.56-3.12), compared to regular transfers, 1.92 days (95% CI 1.82-2.03). No association was found between odds of mortality, or 30-day readmission and atypical transfers after adjusting for confounders. Atypical transfers appear to be driven by complex patient conditions, a lack of hospital capacity, the need to reach specific services and facilities, and more exceptionally, rare events such as major incidents. Our work provides an important first step in identifying unusual patient movement and its impacts on key patient outcomes using a system-wide, data-driven approach. The broader impact of moving patients between hospital wards, and possible downstream effects should be considered in hospital policy and service planning.

Development of an acute medical unit to optimize patient flow and early discharges in a tertiary care hospital in the United Arab Emirates

BACKGROUND

Hospitals worldwide are seeing an increased number of acute admissions, with resultant emergency department (ED) crowding and increased length of stay (LOS). Acute Medical Units (AMUs) have developed throughout the United Kingdom and other Western countries to reduce the burden on EDs and improve patient flow. Limited information is available on AMUs in the Middle East. The purpose of this study is to describe the development of the first AMU in the United Arab Emirates (UAE) for general medical patients and its impact on LOS, early discharges, ED boarders, and readmission rates.

METHODS

We established a consultant-led AMU in a tertiary hospital in the UAE. A retrospective comparative review of all general medical admissions to the AMU between August 1, 2020 and December 31, 2020 and all admissions to the traditional medical wards between August 1, 2019 and December 31, 2019 was conducted.

RESULTS

The average LOS reduced from 10 to 5 days (95% CI [4.14-6.25], p < 0.001) after the introduction of AMU. Early discharges increased by 22%. The number of outliers and number of patients boarding in ED reduced significantly (111 in 2019 vs. 60 in 2020, p < 0.05; 938 in 2019 vs. 104 in 2020, p < 0.001 respectively), with a decrease in ED waiting time from 394 min to 134 min (95% CI [229.25-290.75], p < 0.001). There was no increase in 30-day readmission rates.

CONCLUSION

Restructuring the system of care can reduce LOS, overcome discharge barriers and improve patient flow. Similar units can be developed in hospitals throughout the UAE and the region to reduce LOS and improve patient flow through acute care units.

Association of emergency department crowding with inpatient outcomes

OBJECTIVE

To examine the association of higher emergency department (ED) census with inpatient outcomes on the day of discharge (inpatient length of stay, in-hospital mortality, ED revisits, and readmissions).

DATA SOURCES AND STUDY SETTING

All-payer ED and inpatient discharge data and hospital characteristics data from all non-federal, general, and acute care hospitals in the state of California from October 1, 2015 to December 31, 2017.

STUDY DESIGN

In retrospective data analysis, we examined whether ED census was associated with inpatient outcomes for all inpatients, including those not admitted through the ED. The main predictor variable was ED census on day of discharge, categorized based on hospital year and day of week. Separate linear regression models with robust SEs and hospital fixed effects examined the association of ED census on inpatient outcomes (length of stay, 3-day ED revisit, 30-day all-cause readmission, in-hospital mortality), controlling for patient and visit-level factors. We stratified analyses by whether admission was elective or unscheduled.

EXTRACTION METHODS

Inpatient discharges in non-federal, general medical hospitals with EDs.

PRINCIPAL FINDINGS

We examined 5,784,253 discharges. The adjusted model showed that, compared to when the ED was below the median, higher ED census on the day of discharge was associated with longer inpatient length of stay, lower readmissions, and higher in-hospital mortality (90th percentile for length of stay: +0.8% [95% confidence interval, CI: +0.6% to +1.1%]; readmissions: -0.59 percentage points [or -5.6%] [95% CI: -0.0071 to -0.0048]; mortality: +0.14 percentage points [or +5.4%] [95% CI: +0.0009 to +0.0018]). [Correction added on 18 November 2022, after first online publication: '[odds rato, OR -5.6%]' and '[OR +5.4%]' of the preceding sentence have been corrected to '[or -5.6%]' and '[or +5.4%]', respectively, in this version.] Results for length of stay were primarily driven by patients with elective admissions, while results for readmissions and in-hospital mortality were primarily driven by patients with unscheduled admissions.

CONCLUSIONS

This study suggests that ED crowding may affect inpatients throughout the hospital, even patients who are already admitted to the hospital.

High ward occupancy, bedspacing, and 60 day mortality for patients with myocardial infarction, stroke, and heart failure

Aims

To study the consequences of crowded wards among patients with cardiovascular disease.

Methods and results

This is a cohort study among 201 801 patients with 258 807 admissions who were acutely admitted for myocardial infarction (N = 107 895), stroke (N = 87 336), or heart failure (N = 63 576) to any Norwegian hospital between 2008 and 2016. The ward admitting most patients with the given clinical condition was considered a patient's home ward. We compared patients with the same condition admitted when home ward occupancy was different, at the same hospital and during comparable time periods. Occupancy was standardized such that a one‐unit difference corresponded to the interquartile range in occupancy in the given month. One interquartile increase in home ward occupancy was associated with 7% higher odds of admission to an alternate ward [odds ratio (OR) 1.07, 95% confidence interval (CI) 1.09 to 1.11], and length of stay was shorter (−0.10 days, 95% CI −0.18 to −0.09). Patients with heart failure had 15% higher odds of admission to alternate wards (OR 1.15, 95% CI 1.08 to 1.23) and increased mortality [hazard ratio (HR) 1.08, 95% CI 1.03 to 1.15]. We found no apparent effect on mortality for patients with myocardial infarction (HR 0.99, 95% CI 0.94 to 1.05) or stroke (HR 1.00, 95% CI 0.96 to 1.05).

Conclusions

Patients with heart failure had higher risk of admission to alternate wards when home ward occupancy was high. These patients may be negatively affected by full wards.

Bedspacing and clinical outcomes in general internal medicine: A retrospective, multicenter cohort study

BACKGROUND

Admitting hospitalized patients to off-service wards ("bedspacing") is common and may affect quality of care and patient outcomes.

OBJECTIVE

To compare in-hospital mortality, 30-day readmission to general internal medicine (GIM), and hospital length-of-stay among GIM patients admitted to GIM wards or bedspaced to off-service wards.

DESIGN, PARTICIPANTS, AND MEASURES

Retrospective cohort study including all emergency department admissions to GIM between 2015 and 2017 at six hospitals in Ontario, Canada. We compared patients admitted to GIM wards with those who were bedspaced, using multivariable regression models and propensity score matching to control for patient and situational factors.

KEY RESULTS

Among 40,440 GIM admissions, 10,745 (26.6%) were bedspaced to non-GIM wards and 29,695 (73.4%) were assigned to GIM wards. After multivariable adjustment, bedspacing was associated with no significant difference in mortality (adjusted hazard ratio 0.95, 95% confidence interval [CI]: 0.86-1.05, p = .304), slightly shorter median hospital length-of-stay (-0.10 days, 95% CI:-0.20 to -0.001, p = .047) and lower 30-day readmission to GIM (adjusted OR 0.89, 95% CI: 0.83-0.95, p = .001). Results were consistent when examining each hospital individually and outcomes did not significantly differ between medical or surgical off-service wards. Sensitivity analyses focused on the highest risk patients did not exclude the possibility of harm associated with bedspacing, although adverse outcomes were not significantly greater.

CONCLUSIONS

Overall, bedspacing was associated with no significant difference in mortality, slightly shorter hospital length-of-stay, and fewer 30-day readmissions to GIM, although potential harms in high-risk patients remain uncertain. Given that hospital capacity issues are likely to persist, future research should aim to understand how bedspacing can be achieved safely at all hospitals, perhaps by strengthening the selection of low-risk patients.

Patient safety, quality of care and missed nursing care at a cardiology department during the COVID-19 outbreak

Aim

To evaluate missed nursing care and patient safety during the first wave of the COVID‐19 pandemic at in‐patient cardiology wards.

Design

A cross‐sectional design with a comparative approach.

Method

Registered nurses and nurse assistants at a cardiology department were invited to answer the MISSCARE Survey‐Swedish version, and questions on patient safety and quality of care during the COVID‐19 pandemic. The data were compared with a reference sample.

Results

A total of 43 registered nurses and nurse assistants in the COVID‐19 sample and 59 in the reference sample participated. The COVID‐19 sample reported significantly more overtime hours and more absence from work due to illness in comparison with the reference sample. The patient safety and quality of care were perceived significantly worse, 76.7% (N = 33) versus 94.7% (N = 54), and 85.7% (N = 36) versus 98.3% (N = 58, respectively. The COVID‐19 sample reported more missed nursing care in wound care and in basic nursing.

Older medical outliers on surgical wards: impact on 6-month outcomes

BACKGROUND

Medical patients are on occasion admitted transiently to surgical wards when more appropriate wards are at capacity, potentially leading to suboptimal care. The aim of this study was to compare 6-month outcomes in older adults diagnosed with medical conditions in the ED then admitted inappropriately to surgical wards (defined as outliers), with outcomes in comparable patients admitted to medical wards (controls).

METHODS

In a matched cohort study, 100 consecutive medical outliers from the ED aged 75 years and over were matched according to age, sex and diagnosis to 200 controls. Collected data included number of diagnoses reported in acute care, level of patient illness severity, length of stay, mortality and destination of patients discharged from acute care units (home, rehabilitation facility, nursing home or palliative care facility). An assessment was made of patient vital status and living environment (home, nursing home or hospital) at 6 months post-ED admission.

RESULTS

Mean age was 85.6 years. The most common ED diagnoses were gait disorders/falls (18%), neurological disorders (17%) and exhaustion (16%). Outliers displayed lower illness severity levels (0.001) and shorter lengths of stay from ED admission to acute care discharge (p=0.040). Subsequent to acute care, outliers were less commonly discharged home (45% vs 59%) and more commonly discharged to rehabilitation facilities (42% vs 28%). At 6 months post-ED admission, multivariable regression analysis showed that outlier status (OR=0.44 (0.25-0.83); p=0.011) and numbers of diagnoses reported in acute care (OR=0.87 (0.76-0.98); p=0.028) were independently associated with lower probability of living at home.

CONCLUSION

Outlying of older patients to surgical wards negatively affects their prospects of living at home at 6 months after hospital admission. Older patients hospitalised via the ED are entitled to appropriate medical care.

Quality of care and outcomes in internal medicine patients bedspaced to noninternal medicine units

Hospital overcrowding has led to a practice known as bedspacing (in which admitted patients are placed on a different specialty's inpatient ward), yet little is known about the impact of this practice on healthcare quality.We investigated whether hospital outcome measures differ between bedspaced general internal medicine (GIM) patients vs nonbedspaced patients.Our retrospective study included patients admitted to GIM wards at 2 academic hospitals (2012-2014), comparing bedspaced to nonbedspaced patients, and identifying adverse events from the hospital's Electronic Patient Record.We compared these groups with respect to actual length of stay vs the expected length of stay (% ELOS), which is defined as length of stay (LOS) divided by expected length of stay (ELOS), 30-day readmission, adverse events (falls, medication-related incidents, equipment-related incidents, first treatment related incidents, laboratory-related incidents, and operative/invasive events), and in-hospital mortality.There were 22,519 patients analyzed with 15,985 (71%) discharged from a medical ward and 6534 (29%) discharged from a non-medical ward. Bedspaced patients had shorter lengths of stay (4.1 vs 6.2 days, P < .001) and expected lengths of stay (ELOS) (6.1 vs 6.4 days, P < .001). Bedspaced patients had a lower percentage of ELOS (% ELOS) than nonbedspaced patients (70% vs 91%, P < .001), similar readmission rates (9.8 vs 10.3 events per 100 patients, P = .24), lower in-hospital mortality rates (2.6 vs 3.3 events per 100 patients, P = .003) and fewer adverse events (0.20 vs 0.60 events per 100 patient days, P < .01).Bedspacing of patients is common. Patients who are bedspaced to off-service wards have better outcomes. This may relate to preferential allocation practices.

Association between intrahospital transfer and hospital-acquired infection in the elderly: a retrospective case-control study in a UK hospital network

Background

Intrahospital transfers have become more common as hospital staff balance patient needs with bed availability. However, this may leave patients more vulnerable to potential pathogen transmission routes via increased exposure to contaminated surfaces and contacts with individuals.

Objective

This study aimed to quantify the association between the number of intrahospital transfers undergone during a hospital spell and the development of a hospital-acquired infection (HAI).

Methods

A retrospective case–control study was conducted using data extracted from electronic health records and microbiology cultures of non-elective, medical admissions to a large urban hospital network which consists of three hospital sites between 2015 and 2018 (n=24 240). As elderly patients comprise a large proportion of hospital users and are a high-risk population for HAIs, the analysis focused on those aged 65 years or over. Logistic regression was conducted to obtain the OR for developing an HAI as a function of intrahospital transfers until onset of HAI for cases, or hospital discharge for controls, while controlling for age, gender, time at risk, Elixhauser comorbidities, hospital site of admission, specialty of the dominant healthcare professional providing care, intensive care admission, total number of procedures and discharge destination.

Results

Of the 24 240 spells, 2877 cases were included in the analysis. 72.2% of spells contained at least one intrahospital transfer. On multivariable analysis, each additional intrahospital transfer increased the odds of acquiring an HAI by 9% (OR=1.09; 95% CI 1.05 to 1.13).

Conclusion

Intrahospital transfers are associated with increased odds of developing an HAI. Strategies for minimising intrahospital transfers should be considered, and further research is needed to identify unnecessary transfers. Their reduction may diminish spread of contagious pathogens in the hospital environment.

The Frontline Nurse's Experience of Nursing Outlier Patients

The frontline nurses' experience of nursing with overstretched resources in acute care setting can affect their health and well-being. Little is known about the experience of registered nurses faced with the care of a patient outside their area of expertise. The aim of this paper is to explore the phenomenon of nursing the outlier patient, when patients are nursed in a ward that is not specifically developed to deal with the major clinical diagnosis involved (e.g., renal patient in gynecology ward). Using a hermeneutic phenomenological approach, eleven individual face-to-face in-depth interviews were conducted with registered nurses in New South Wales, Australia. The study identified that each nurse had a specialty construct developed from nursing in a specialized environment. Each nurse had normalized the experience of specialty nursing and had developed a way of thinking and practicing theorized as a "care ladder". By grouping and analyzing various "care ladders" together, the nursing capacities common to nurses formed the phenomenological orientation, namely "the composite care ladder". Compared to nursing specialty-appropriate patients, nursing the outlier patient caused disruption of the care ladder, with some nurses becoming less capable as they were nursing the outlier patient. Nursing the outlier patient disrupted the nurses' normalized constructs of nursing. This study suggests that nursing patients in specialty-appropriate wards will improve patient outcomes and reduce impacts on the nurses' morale.

Influence of bedspacing on outcomes of hospitalised medicine service patients: a retrospective cohort study

BACKGROUND

Specialty wards cohort hospitalised patients to improve outcomes and lower costs. When demand exceeds capacity, patients overflow and are "bedspaced" to alternate wards. Some studies have demonstrated that bedspacing among medicine service patients is associated with adverse patient-centred outcomes, however, results have been inconsistent and have primarily been performed within national health systems. The objective of this study was to assess the association of bedspacing with patient-centred outcomes among United States patients admitted to general medicine services.

METHODS

We performed a retrospective cohort study of internal medicine, family medicine and geriatric service patients who were bedspaced vs cohorted for the entirety of their hospital stay within three large, urban United States hospitals (quaternary referral centre, tertiary referral centre and community hospital, with different patient demographics and case-mixes) in 2014 and 2015. We performed quantile regression to determine differences in length of stay (LOS) between bedspaced vs cohorted patients and logistic regression for in-hospital mortality and discharge to home.

RESULTS

Among 18 802 patients in 33 wards, 6119 (33%) patients were bedspaced. Bedspaced patients had significantly longer LOS compared with cohorted patients at the 25^th (0.1 days, 95% CI: 0.05 to 0.2, p=0.001), 50^th (0.2 days, 95% CI: 0.1 to 0.3, p=0.003) and 75^th (0.3 days, 95% CI: 0.2 to 0.5, p<0.001) percentiles; and no statistically significant differences in odds of mortality (OR=0.9, 95% CI: 0.6 to 1.3, p=0.5) or discharge to home (OR=0.9, 95% CI: 0.9 to 1.0, p=0.06) in adjusted analyses.

CONCLUSION

Bedspacing is associated with adverse patient-centred outcomes. Future work is needed to confirm these findings, understand mechanisms contributing to adverse outcomes and identify factors that mitigate these adverse effects in order to provide high-value, patient-centred care to hospitalised patients.