Friday and weekend hospital stays: effects on mortality

Weekend admissions and outcomes in patients with pneumonia: a systematic review and meta-analysis

Background

To document pooled evidence on the association between weekend hospital admissions and the potential risks of mortality, intensive care requirements, and readmission among patients with pneumonia.

Methods

We performed a systematic search across the PubMed, EMBASE, and Scopus databases. We collected observational studies exploring the association between weekend admissions and outcomes of interest in patients with pneumonia. To analyze the data, we used a random effects model and expressed the effect sizes as pooled odds ratios (ORs) accompanied by their respective 95% confidence intervals (CIs).

Results

The analysis comprised data from 13 retrospective studies. Compared to patients admitted on weekdays, those admitted during the weekend had a non-statistically significant marginally higher risk of in-hospital mortality (OR, 1.02; 95% CI, 1.00, 1.04) but similar 30-day mortality after admission (OR, 1.03; 95% CI, 0.97, 1.10), and similar risks of admission to intensive care unit (OR, 1.04; 95% CI, 0.98, 1.11) and re-admission (OR, 0.85; 95% CI, 0.65-1.12).

Conclusion

Our findings do not support the presence of a "weekend effect" in patients with pneumonia.

Systematic review registration

PROSPERO, identifier CRD42023425802, https://www.crd.york.ac.uk/prospero/.

Data-Enhancement Strategies in Weather-Related Health Studies

Although the relationship between weather and health is widely studied, there are still gaps in this knowledge. The present paper proposes data transformation as a way to address these gaps and discusses four different strategies designed to study particular aspects of a weather–health relationship, including (i) temporally aggregating the series, (ii) decomposing the different time scales of the data by empirical model decomposition, (iii) disaggregating the exposure series by considering the whole daily temperature curve as a single function, and (iv) considering the whole year of data as a single, continuous function. These four strategies allow studying non-conventional aspects of the mortality-temperature relationship by retrieving non-dominant time scale from data and allow to study the impact of the time of occurrence of particular event. A real-world case study of temperature-related cardiovascular mortality in the city of Montreal, Canada illustrates that these strategies can shed new lights on the relationship and outlines their strengths and weaknesses. A cross-validation comparison shows that the flexibility of functional regression used in strategies (iii) and (iv) allows a good fit of temperature-related mortality. These strategies can help understanding more accurately climate-related health.

Impact of weekend admission and changes in treating team on patient flow and outcomes in adults admitted to hospital with community-acquired pneumonia

BACKGROUND

The effect of workflow factors, such as timing of admission and changes in treating team, on patient outcomes remains inconclusive.

AIMS

To investigate the impact of weekend admission and changes in treating team on four pre-defined outcomes in patients admitted to hospital with community-acquired pneumonia (CAP).

METHODS

We performed an observational cohort study by utilising prospective longitudinal data collected during the IMPROVE-GAP trial, a stepped-wedge randomised study investigating an evidence-based bundle of care in the management of CAP. We assessed the effect of two exposure variables, day of admission and change of treating team, on four pre-specified outcomes: (i) length of stay; (ii) time to clinical stability; (iii) readmission within 30 days; and (iv) mortality at 30 days. Our analysis was restricted to patients with a primary diagnosis of CAP and employed multivariable Cox regression and logistic regression to adjust for potential measured confounders.

RESULTS

Of 753 participants, 224 (29.7%) were admitted on the weekend and 71 (9.4%) changed treating team during admission. Weekend admissions had significantly longer hospital stays than weekday admissions (hazard ratio (95% confidence interval; P-value) 0.82 (0.70-0.98; 0.03)) and took longer to reach clinical stability (0.80 (0.68-0.95; 0.01)). Change of treating team doubled the odds of readmission at 30 days (odds ratio 1.95 (1.08-3.58; 0.03)).

CONCLUSIONS

These results suggest workflow factors can negatively impact both health service and patient outcomes. Systems interventions aimed at improving out of hours service and reducing changes in treating team should be considered.

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

Background

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

Methods and Results

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

Conclusions

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

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Aggregating the response in time series regression models, applied to weather-related cardiovascular mortality

In environmental epidemiology studies, health response data (e.g. hospitalization or mortality) are often noisy because of hospital organization and other social factors. The noise in the data can hide the true signal related to the exposure. The signal can be unveiled by performing a temporal aggregation on health data and then using it as the response in regression analysis. From aggregated series, a general methodology is introduced to account for the particularities of an aggregated response in a regression setting. This methodology can be used with usually applied regression models in weather-related health studies, such as generalized additive models (GAM) and distributed lag nonlinear models (DLNM). In particular, the residuals are modelled using an autoregressive-moving average (ARMA) model to account for the temporal dependence. The proposed methodology is illustrated by modelling the influence of temperature on cardiovascular mortality in Canada. A comparison with classical DLNMs is provided and several aggregation methods are compared. Results show that there is an increase in the fit quality when the response is aggregated, and that the estimated relationship focuses more on the outcome over several days than the classical DLNM. More precisely, among various investigated aggregation schemes, it was found that an aggregation with an asymmetric Epanechnikov kernel is more suited for studying the temperature-mortality relationship.

Effect of time and day of admission on hospital care quality for patients with chronic obstructive pulmonary disease exacerbation in England and Wales: single cohort study

OBJECTIVE

To evaluate if observed increased weekend mortality was associated with poorer quality of care for patients admitted to hospital with chronic obstructive pulmonary disease (COPD) exacerbation.

DESIGN

Prospective case ascertainment cohort study.

SETTING

199 acute hospitals in England and Wales, UK.

PARTICIPANTS

Consecutive COPD admissions, excluding subsequent readmissions, from 1 February to 30 April 2014 of whom 13 414 cases were entered into the study.

MAIN OUTCOMES

Process of care mapped to the National Institute for Health and Care Excellence clinical quality standards, access to specialist respiratory teams and facilities, mortality and length of stay, related to time and day of the week of admission.

RESULTS

Mortality was higher for weekend admissions (unadjusted OR 1.20, 95% CI 1.00 to 1.43), and for case-mix adjusted weekend mortality when calculated for admissions Friday morning through to Monday night (adjusted OR 1.19, 95% CI 1.00 to 1.43). Median time to death was 6 days. Some clinical processes were poorer on Mondays and during normal working hours but not weekends or out of hours. Specialist respiratory care was less available and less prompt for Friday and Saturday admissions. Admission to a specialist ward or high dependency unit was less likely on a Saturday or Sunday.

CONCLUSIONS

Increased mortality observed in weekend admissions is not easily explained by deficiencies in early clinical guideline care. Further study of out-of-hospital factors, specialty care and deaths later in the admission are required if effective interventions are to be made to reduce variation by day of the week of admission.

In-hospital elderly mortality and associated factors in 12 Italian acute medical units: findings from an exploratory longitudinal study

BACKGROUND

Given the progressive demographic ageing of the population and the National Health System reforms affecting care at the bedside, a periodic re-evaluation of in-hospital mortality rates and associated factors is recommended.

AIMS

To describe the occurrence of in-hospital mortality among patients admitted to acute medical units and associated factors. Two hypotheses (H) were set as the basis of the study: patients have an increased likelihood to die H₁: at the weekend when less nursing care is offered; H₂: when they receive nursing care with a skill-mix in favour of Nursing Aides instead of Registered Nurses.

METHODS

Secondary analysis of a prospective study of patients >65 years consecutively admitted in 12 Italian medical units. Data on individual and nursing care variables were collected and its association with in-hospital mortality was analysed by stepwise logistic regression analysis.

RESULTS

In-hospital mortality occurrence was 6.8 %, and 37 % of the patients died during the weekend. The logistic regression model explained 34.3 % (R ²) of the variance of in-hospital mortality: patients were six times (95 % CI = 3.632-10.794) more likely at risk of dying at weekends; those with one or more AEDs admissions in the last 3 months were also at increased risk of dying (RR 1.360, 95 % CI = 1.024-1.806) as well as those receiving more care from family carers (RR = 1.017, 95 % CI = 1.009-1.025). At the nursing care level, those patient receiving less care by RNs at weekends were at increased risk of dying (RR = 2.236, 95 % CI = 1.270-3.937) while those receiving a higher skill-mix, thus indicating that more nursing care was offered by RNs instead of NAs were at less risk of dying (RR = 0.940, 95 % CI = 0.912-0.969).

CONCLUSIONS

Within the limitations of this secondary analysis, in addition to the role of some clinical factors, findings suggest redesigning acute care at weekends ensuring consistent care both at the hospital and at the nursing care levels.

Weekend versus weekday transplant surgery and outcomes after kidney transplantation in the USA: a retrospective national database analysis

OBJECTIVE

To determine whether kidney transplants performed during a weekend had worse outcomes than those performed during weekdays.

DESIGN

Retrospective national database study.

SETTING

United Network for Organ Sharing database of the USA.

PARTICIPANTS

136,715 adult recipients of deceased donor single organ kidney transplants in the USA between 4/1994 and 9/2010.

MAIN OUTCOME MEASURES

The primary outcomes were patient survival and death-censored and overall allograft survival. Secondary outcomes included initial length of hospital stay after transplantation, delayed allograft function, acute rejection within the first year of transplant, and patient and allograft survival at 1 month and at 1 year after transplantation. Cox proportional hazards models were used to evaluate the impact of weekend kidney transplant surgery on primary and secondary outcomes, adjusting for multiple covariates.

RESULTS

Among the 136,715 kidney recipients, 72.5% underwent transplantation during a regular weekday (Monday-Friday) and 27.5% during a weekend (Saturday-Sunday). No significant association was noted between weekend transplant status and patient survival, death-censored allograft survival or overall allograft survival in the adjusted analyses (HR 1.01 (95% CI 0.92 to 1.04), 1.012 (95% CI 0.99 to 1.034), 1.012 (95% CI 0.984 to 1.04), respectively). In addition, no significant association was noted between weekend transplant status and the secondary outcomes of patient and graft survival at 1 month and 1 year, delayed allograft function or acute rejection within the first year. Results remained consistent across all definitions of weekend status.

CONCLUSIONS

The outcomes for deceased donor kidney transplantation in the USA are not affected by the day of surgery. The operationalisation of deceased donor kidney transplantation may provide a model for other surgeries or emergency procedures that occur over the weekend, and may help reduce length of hospital stay and improve outcomes.

Impact of weekend admission on in-hospital mortality in severe community-acquired pneumonia patients in Japan

BACKGROUND AND OBJECTIVE

Little is known about the consequences of weekend admission on the quality of care in patients with severe community-acquired pneumonia. We compared the outcomes of weekend versus weekdays' admission for these patients on risk-adjusted mortality.

METHODS

Using a large nationwide administrative database, we analysed patients with severe pneumonia who had been hospitalized in 1044 acute care hospitals between 2012 and 2013. We compared risk-adjusted in-hospital mortality of guideline-concordant care between patients admitted weekdays and patients admitted on weekends.

RESULTS

The study sample comprised 17 342 patients admitted on weekdays and 6190 patients admitted on weekends. The mortality rate of the weekend admission group was significantly higher than that of the weekday admission group (23.7% vs 20.5%; P < 0.001). Even after adjusting for baseline patient severity and need for urgent care, weekend admissions were associated with higher mortality (odds ratio: 1.10; 95% confidence interval: 1.02-1.19). The implementation rates of guideline-concordant microbiological tests (including sputum cultures and urine antigen tests) were significantly lower in the weekend admission group. These tests were found to be associated with lower in-hospital mortality.

CONCLUSION

Our findings showed that weekend admission was associated with increased mortality in patients with severe community-acquired pneumonia in Japan. This may have been influenced by lower implementation of microbiological testing.