Literature DB >> 35488247

The weekend effect on the provision of Emergency Surgery before and during the COVID-19 pandemic: case-control analysis of a retrospective multicentre database.

Giovanni D Tebala1,2, Marika S Milani3, Roberto Cirocchi4, Mark Bignell5, Giles Bond-Smith5, Christopher Lewis5, Vanni Agnoletti6, Marco Catarci7, Salomone Di Saverio8, Gianluigi Luridiana9, Fausto Catena10, Marco Scatizzi11, Pierluigi Marini12.   

Abstract

INTRODUCTION: The concept of "weekend effect", that is, substandard healthcare during weekends, has never been fully demonstrated, and the different outcomes of emergency surgical patients admitted during weekends may be due to different conditions at admission and/or different therapeutic approaches. Aim of this international audit was to identify any change of pattern of emergency surgical admissions and treatments during weekends. Furthermore, we aimed at investigating the impact of the COVID-19 pandemic on the alleged "weekend effect".
METHODS: The database of the CovidICE-International Study was interrogated, and 6263 patients were selected for analysis. Non-trauma, 18+ yo patients admitted to 45 emergency surgery units in Europe in the months of March-April 2019 and March-April 2020 were included. Demographic and clinical data were anonymised by the referring centre and centrally collected and analysed with a statistical package. This study was endorsed by the Association of Italian Hospital Surgeons (ACOI) and the World Society of Emergency Surgery (WSES).
RESULTS: Three-quarters of patients have been admitted during workdays and only 25.7% during weekends. There was no difference in the distribution of gender, age, ASA class and diagnosis during weekends with respect to workdays. The first wave of the COVID pandemic caused a one-third reduction of emergency surgical admission both during workdays and weekends but did not change the relation between workdays and weekends. The treatment was more often surgical for patients admitted during weekends, with no difference between 2019 and 2020, and procedures were more often performed by open surgery. However, patients admitted during weekends had a threefold increased risk of laparoscopy-to-laparotomy conversion (1% vs. 3.4%). Hospital stay was longer in patients admitted during weekends, but those patients had a lower risk of readmission. There was no difference of the rate of rescue surgery between weekends and workdays. Subgroup analysis revealed that interventional procedures for hot gallbladder were less frequently performed on patients admitted during weekends.
CONCLUSIONS: Our analysis revealed that demographic and clinical profiles of patients admitted during weekends do not differ significantly from workdays, but the therapeutic strategy may be different probably due to lack of availability of services and skillsets during weekends. The first wave of the COVID-19 pandemic did not impact on this difference.
© 2022. The Author(s).

Entities:  

Keywords:  Emergency surgery; Hot gallbladder; Weekend effect

Mesh:

Year:  2022        PMID: 35488247      PMCID: PMC9051756          DOI: 10.1186/s13017-022-00425-z

Source DB:  PubMed          Journal:  World J Emerg Surg        ISSN: 1749-7922            Impact factor:   5.469


Introduction

The so-called weekend effect is a suspected epidemiological effect representing a source of serious concern for healthcare professionals, policy-makers and the general public. It has been claimed that during weekends workload and capacity of healthcare systems may change completely with respect to workdays, causing substandard care and suboptimal results. The first definition of “weekend effect” was related to a reported increase of mortality in patients admitted during weekends, but nowadays it refers—more widely—to the differences in the provision of healthcare between workdays and weekend. In the present paper, the “weekend effect” will be considered in this wider sense. In 2016, the then UK Secretary of State for Health claimed that 11,000 deaths per year could be caused by the “weekend effect”, raising concerns among the population and leading to the implementation of the “seven-day hospital services” policy in the NHS [1]. However, that statement was subsequently found to be inaccurate as the comparison between workdays and weekends did not take into consideration that patients admitted to Emergency Departments during weekends were usually more ill and in poorer general conditions. At that time, several academics wrote to the Secretary of State for Health to complain about that misrepresentation of facts based on “bad” evidence, only for political convenience. Nevertheless, the evidence behind an alleged weekend effect is still unclear. Moreover, the massive shake-up of our healthcare systems caused in the last 2 years by the COVID pandemic could have exacerbated an eventual weekend effect, due to an alleged further reduction of capacity during lockdown weekends, but this has not been demonstrated. To confirm or rule out the impact of a “weekend effect” on emergency surgical admissions, we have interrogated our large international database on emergency surgical admission before and during the COVID pandemic.

Materials and methods

Data for this study were derived from the CovidICE-International Study database, whose characteristics have been reported elsewhere [2]. The initial recruitment of participating units was done by emailing an invitation letter to more than 6000 surgeons in Europe. Forty-five Emergency Surgical units decided to contribute to the CovidICE-International database. A local team led by a Principal Local Investigator (PLI) for each centre collected anonymised demographic and clinical data of patients and transmitted them to the Principal Investigator (PI) and the Study Coordinator (SC) within an encrypted electronic database (MS Excel for Mac). Data were centrally collected, double-checked and analysed with a statistical package (StatPlus for Mac). Only 18+, non-trauma patients admitted for a surgical emergency during the months of March–April 2019 and March–April 2020 were analysed. The final database comprises data of 6263 completely anonymised patients. Primary endpoint of the present analysis was to see whether there was any difference in admissions, diagnoses and treatments during the weekend (Saturday–Sunday) with respect to workdays. In particular, we evaluated if distribution of demographic and clinical variables (age, gender, ASA, frailty [3], diagnosis, primary treatment, surgical access, laparoscopy-to-laparotomy conversion rate, length of stay, rate of rescue surgery, rate of readmission) changed during weekends versus workdays. The category "hot gallbladder" includes acute cholecystitis and intractable biliary colic. The categories "pancreatitis" and "diverticulitis" include both complicated and non-complicated acute pancreatitis and acute diverticulitis, respectively. Secondary endpoint was to see whether the so-called weekend effect changed during the COVID-19 pandemic with respect to the pre-pandemic period. The months of March and April 2020 were chosen as they represent the onset of the pandemic. They were compared with the same 2 months of 2019 to avoid seasonal bias. Trauma patients, patients < 18 yo and those with more than 20% of incomplete data were excluded from the analysis. Factors with more than 10% of missing data were excluded from the analysis. Missing data were excluded listwise. Frequency variables were analysed with the Pearson Chi-square test and with the 2-way ANalysis-Of-VAriance (ANOVA). Continuous variables were compared with the Mann–Whitney U test after a first distribution analysis confirmed non-normal distribution. Statistical significance was confirmed when p < 0.05. Ethical committee approval was not deemed to be necessary as this study is a retrospective audit on completely anonymised data. The study was endorsed by the Association of Italian Hospital Surgeons (Associazione dei Chirurghi Ospedalieri Italiani—ACOI) and by the World Society of Emergency Surgery (WSES). This paper has been drafted according to the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) checklist [4].

Results

Results are summarised in Tables 1, 2, 3, 4, 5, 6, 7, 8, 9 and 10 and Figs. 1 and 2.
Table 1

Basic characteristics

Workday (Monday–Friday)Weekend (Saturday–Sunday)p
Total4654 (74.3%)1609 (25.7%)
Gender
 M23807970.267
 F2274812
 Age59.5 ± 20.859.2 ± 20.70.735
ASA
 111043790.825
 21483519
 31307446
 4379136
 52111
Frailty score
 1–223848410.49235
 > 22269768
 *2019202020192020
 1–21504880556285
 > 21302967448320
p = 0.00008p = 0.00116

* Bold indicates distribution of Frailty Score in the two periods of the study

Table 2

Variation of the most frequent diagnoses

TotWorkday (Monday–Friday)Weekend (Saturday–Sunday)p
2019202020192020
Hot gallbladder11485333471681000.5334
Acute appendicitis983437263184990.4461
SBO611266159113730.6671
Diverticulitis40320810260330.6434
Complicated inguinal hernia3091478752230.3053
Pancreatitis2951199355280.1116
Complicated CRC2681178237320.4541
Table 3

Results

Workday (Monday–Friday)Weekend (Saturday–Sunday)p
2019202020192020
Primary treatment
 Medical1489 (75.1%) (32.0%)494 (24.9%) (30.7%)0.037
 Surgical2861 (73.4%) (61.5%)1035 (26.6%) (64.3%)
 IR/Endo301 (79.0%) (6.5%)80 (21.0%) (5.0%)
 Medical8756143001940.441
 Surgical174411176473880.379
 IR/Endo18711457230.131
Surgical access
 Laparos1110 (73.5%) (42.0%)401 (26.5%) (41.4%)0.004
 Open1522 (73.3%) (57.6%)553 (26.7%) (57.1%)
 Convert11 (44.0%) (0.4%)14 (56.0%) (1.4%)
 Laparos6964142561450.686
 Open9156073422110.477
 Converted110860.013
Conversion rate11/1121 (1.0%)14/415 (3.4%)0.001
11/7070/4148/2646/151
p = 0.011p = 0.609
Length of stay7.6 ± 9.9, 5 (0–231)$8.1 ± 11.4, 5 (0–220)$0.033$
7.7 ± 10.77.4 ± 8.67.9 ± 10.08.6 ± 13.5
p = 0.664p = 0.011
Rescue surgery
 No4323 (74.6%) (96.9%)1468 (25.3%) (95.9%)0.061
 Yes139 (68.8%) (3.1%)63 (31.2%) (4.1%)
845536270.659
Readmission
 No4182 (74.1%) (91.1%)1463 (25.9%) (92.9%)0.028
 Yes408 (78.5%) (8.9%)112 (21.5%) (7.1%)
26514370420.631

Data presented as absolute number and percentage within row and within column, respectively

$ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test

Table 4

Subgroup analysis. Pancreatitis

Workday (Monday–Friday)Weekend (Saturday–Sunday)p
Primary treatment
 Medical167 (78.8%)61 (73.5%)0.5052
 Surgical32 (15.1%)14 (16.9%)
 IR/Endo13 (6.1%)8 (9.6%)
Surgical access
 Laparos23 (85.2%)13 (86.7%)0.8954
 Open4 (14.8%)2 (13.3%)
 Converted00
Conversion rate00
Length of stay$7.5 ± 8.98.8 ± 13.20.8797
5 (0–82)5 (1–79)
Readmission
 No160 (70.2%)68 (84.0%)0.1885
 Yes48 (29.8%)13 (16.0%)

Data presented as absolute number and percentage within column, respectively

$ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test

Table 5

Subgroup analysis. Hot gallbladder

Workday (Monday–Friday)Weekend (Saturday–Sunday)p
Primary treatment
 Medical252 (28.7%)86 (32.1%)0.0157
 Surgical490 (55.8%)159 (59.3%)
 IR/Endo136 (15.5%)23 (8.6%)
Surgical access
 Laparos374 (80.9%)113 (73.4%)0.0774
 Open85 (18.4%)38 (24.7%)
 Converted3 (50.0%)3 (50.0%)
Conversion rate3/377 (0.8%)3/116 (2.6%)0.124
Length of stay$6.5 ± 6.67.3 ± 7.10.0228
5 (0–67)5 (0–60)
Readmission
 No765 (87.8%)239 (90.5%)0.2290
 Yes106 (12.2%)25 (9.5%)

Data presented as absolute number and percentage within column, respectively

$ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test

Table 6

Subgroup analysis. Appendicitis

Workday (Monday–Friday)Weekend (Saturday–Sunday)p
Primary treatment
 Medical58 (8.3%)27 (9.5%)0.8041
 Surgical640 (91.4%)255 (90.1%)
 IR/Endo2 (0.3%)1 (0.4%)
Surgical access
 Laparos492 (80.8%)198 (80.5%)0.8606
 Open112 (18.4%)45 (18.3%)
 Converted5 (0.8%)3 (1.2%)
Conversion rate5/497 (1.0%)3/201 (1.5%)0.5850
Length of stay$4.0 ± 3.74.4 ± 4.60.1176
3 (0–36)3 (0–55)
Readmission
 No677 (97.4%)272 (96.5%)0.4170
 Yes18 (2.6%)10 (3.5%)

Data presented as absolute number and percentage within column, respectively

$ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test

Table 7

Subgroup analysis. Diverticulitis

Workday (Monday–Friday)Weekend (Saturday–Sunday)p
Primary treatment
 Medical184 (59.4%)48 (51.6%)0.3752
 Surgical115 (37.1%)42 (45.2%)
 IR/Endo11 (3.5%)3 (3.2%)
Surgical access
 Laparos16 (14.3%)9 (21.4%)0.2843
 Open96 (85.7%)33 (78.6%)
 Converted00
Conversion rate00
Length of stay$10.0 ± 11.79.4 ± 7.60.4917
7 (0–150)7 (2–42)
Readmission
 No277 (91.4%)81 (90.0%)0.6781
 Yes26 (8.6%)9 (10.0%)

Data presented as absolute number and percentage within column, respectively

$ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test

Table 8

Subgroup analysis. Small bowel obstruction

Workday (Monday–Friday)Weekend (Saturday–Sunday)p
Primary treatment
 Medical170 (40.0%)64 (34.4%)0.3827
 Surgical249 (58.6%)120 (64.5%)
 IR/Endo6 (1.4%)2 (1.1%)
Surgical access
 Laparos40 (17.0%)23 (19.7%)0.0235
 Open194 (82.6%)89 (76.1%)
 Converted1 (0.4%)5 (4.3%)
Conversion rate1/41 (2.4%)5/28 (17.9%)0.046
Length of stay$8.6 ± 7.68.1 ± 5.80.3542
6.5 (0–58)7 (0–31)
Readmission
 No396 (94.5%)173 (94.0%)0.8105
 Yes23 (5.5%)11 (6.0%)

Data presented as absolute number and percentage within column, respectively

$ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test

Table 9

Subgroup analysis. Complicated colorectal cancer

Workday (Monday–Friday)Weekend (Saturday–Sunday)p
Primary treatment
 Medical17 (8.5%)3 (4.3%)0.3757
 Surgical172 (86.4%)64 (92.7%)
 IR/Endo10 (5.0%)2 (2.9%)
Surgical access
 Laparos24 (14.8%)9 (15.3%)0.0616
 Open138 (85.2%)48 (81.4%)
 Converted02 (3.4%)
Conversion rate02/11 (18.2%)0.031
Length of stay$13.7 ± 10.813.3 ± 14.30.3232
11 (1–68)11 (1–117)
Readmission
 No178 (89.9%)62 (91.2%)0.7596
 Yes20 (10.1%)6 (8.8%)

Data presented as absolute number and percentage within column, respectively

$ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test

Table 10

Subgroup analysis. Complicated inguinal hernia

Workday (Monday–Friday)Weekend (Saturday–Sunday)p
Primary treatment
 Medical17 (7.3%)2 (2.7%)0.1491
 Surgical217 (92.7%)73 (97.3%)
 IR/Endo00
Surgical access
 Laparos1 (0.5%)3 (4.2%)0.0235
 Open206 (99.5%)69 (95.8%)
 Converted00
Conversion rate00
Length of stay$4.4 ± 6.34.2 ± 4.20.1150
2 (0–50)3 (0–25)
Readmission
 No224 (96.1%)72 (96.0%)0.9574
 Yes9 (3.9%)3 (4.0%)

Data presented as absolute number and percentage within column, respectively

$ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test

Fig. 1

Admissions by period (March–April 2019 vs. March–April 2020) and day of the week

Fig. 2

Admissions per day of the week, seven most common diagnoses. The category “hot gallbladder” includes acute cholecystitis and intractable biliary colic. SBO small bowel obstruction, CRC colorectal cancer

Basic characteristics * Bold indicates distribution of Frailty Score in the two periods of the study Variation of the most frequent diagnoses Results Data presented as absolute number and percentage within row and within column, respectively $ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test Subgroup analysis. Pancreatitis Data presented as absolute number and percentage within column, respectively $ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test Subgroup analysis. Hot gallbladder Data presented as absolute number and percentage within column, respectively $ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test Subgroup analysis. Appendicitis Data presented as absolute number and percentage within column, respectively $ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test Subgroup analysis. Diverticulitis Data presented as absolute number and percentage within column, respectively $ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test Subgroup analysis. Small bowel obstruction Data presented as absolute number and percentage within column, respectively $ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test Subgroup analysis. Complicated colorectal cancer Data presented as absolute number and percentage within column, respectively $ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test Subgroup analysis. Complicated inguinal hernia Data presented as absolute number and percentage within column, respectively $ = Data reported as mean ± standard deviation, median (range); comparison with Mann–Whitney U test Admissions by period (March–April 2019 vs. March–April 2020) and day of the week Admissions per day of the week, seven most common diagnoses. The category “hot gallbladder” includes acute cholecystitis and intractable biliary colic. SBO small bowel obstruction, CRC colorectal cancer Of the 6263 patients, 74.3% were admitted during the working days, while only 25.7% were admitted during the weekends. Gender distribution, average age, ASA class and distribution of frailty score did not change during the weekend with respect to working days (Table 1). However, our data showed that the distribution of frailty score was significantly different between 2019 and 2020, both during weekdays and weekends (Table 1). The general profile of admissions during the week is quite constant, but for each day of the week there is an evident difference in the number of admissions between March–April 2019 and March–April 2020. This different is pretty much constant for the whole week (Monday − 30.5%, Tuesday − 35.3%, Wednesday − 31.7%, Thursday − 30.7%, Friday − 42.5%, Saturday − 45.2%, Sunday − 33.4%) (Fig. 1). The average reduction of admissions between 2019 and 2020 was 34.2% during workdays and 39.7% during weekends (p = 0.143). The seven most common diagnoses were: (1) hot gallbladder, (2) acute appendicitis, (3) small bowel obstruction (SBO), (4) diverticulitis, (5) complicated inguinal hernia, (6) pancreatitis, (7) complicated colorectal (CRC) cancer (Table 2). Their distribution did not show any significant difference between weekends and working days (Table 2), although the number of admitted hot gallbladders tends to be highest on Mondays and then progressively reduces to become lowest on Sundays (Fig. 2). The treatment was more frequently surgical in the patients admitted during weekends (p = 0.037) with respect to workdays, but the distribution of the three types of treatments (medical, surgical or interventional) did not show any change between 2019 and 2020 (Table 3). The surgical access (laparoscopic vs. open) did not change, but patients admitted during weekends experienced a threefold increased risk of laparoscopy-to-laparotomy conversion (1% vs. 3.4%, p = 0.001). The risk of conversion was lowest in patients admitted on workdays during the pandemic (Table 3). Nonparametric comparison showed that hospital stay was longer in patients admitted during the weekend (p = 0.033) and, within this group, it was significantly longer during the COVID period (Table 3). The rate of rescue surgery—defined as an operation performed due to failure of the primary treatment (medical, surgical or endoscopic/interventional)—was not statistically different in the two groups (workdays vs. weekends). Readmission rate was lower in patients admitted during weekends (p = 0.028). No variation was found in the rate of readmission during weekend versus workdays between 2019 and 2020 (Table 3). An ad hoc regression analysis was performed to investigate the relation between risk of readmission and length of stay (LOS), and this confirmed the presence of a minimal but significant direct association (risk of readmission =  − 2.44862 + 0.00787 * LOS, p = 0.03762). This finding was confirmed at Pearson’s correlation analysis (R = 0.029, p = 0.0233). Subgroup analysis has been performed on the seven most frequent diagnoses (Tables 4, 5, 6, 7, 8, 9, 10). Patients with hot gallbladder have been mostly treated with emergency surgery, but the percentage of those having an interventional procedure (cholecystostomy) almost halved during the weekend with respect to workdays. Also, length of stay for patients admitted with hot gallbladder during the weekend is significantly longer than for those admitted during workdays. Surgical operations for small bowel obstruction (SBO) were more often performed by open surgery, but the percentage of those having a laparoscopic operation was higher during the weekend. Similarly, conversion rate was significantly higher during weekends (17.9% vs. 2.4%, p = 0.046). Conversion rate was significantly higher during the weekend also for the operations for complicated colorectal cancer (18.2% vs. 0, p = 0.031). Patients with complicated inguinal hernia were almost always treated with open surgery both during weekends and weekdays, but the rate of those operated on by laparoscopy was much higher during weekend (4.2% vs. 0.5%).

Discussion

The so-called weekend effect is a much-studied but yet to be demonstrated and clarified alleged effect claiming that patients admitted and treated during weekends may have different outcomes with respect to those admitted during normal workdays. Most published studies using mortality as primary endpoint gave contrasting evidence [5-J Surg Res. 2018 ">8]. An increased weekend mortality was demonstrated for laparotomy, adhesiolysis, colectomy and small bowel resection, but this was due to patients being in poorer conditions and considered more urgent than those treated during workdays [9]. On the contrary, an analysis of the UK National Emergency Laparotomy Audit (NELA) database revealed that quality of care and outcomes for emergency laparotomies did not differ significantly between weekdays and weekends [4]. We decided not to use mortality as endpoint but analysed some of the factors that can potentially impact on mortality and morbidity during weekends. In fact, we wondered whether there was any difference in diagnosis and therapeutical strategy between workdays and weekends. Moreover, our secondary aim was to verify whether the first wave of COVID-19 pandemic, and consequent lockdown, impacted in any way with the eventual differences of admissions and treatments between workdays and weekends. We could not demonstrate any significant difference of emergency surgical admissions during weekend as compared to workdays. This is quite interesting as we would have expected that some pathologies, such as pancreatitis, could be more frequent during weekends for cultural reasons (binge drinking, partying, etc.). This has not been demonstrated, but there is an evident trend for “hot gallbladders”, whose incidence tends to increase on Monday, probably associated with a less than healthy diet during weekends. It is possible, but not demonstrated, that the lockdown effect in 2020 might also have played a role. However, these differences were not significant, and it is not unlikely that the profile of admissions for hot gallbladder during the week is only a random effect. Similarly, we could not demonstrate any difference in the distribution of ASA classes and frailty scores; that is, we could not confirm that patients admitted during weekends are more frail or comorbid. However, a significant difference has been found for both weekdays and weekends in the rate of frail versus non-frail patients admitted into the participating surgical units during the COVID first wave versus non-COVID period, with more frail patients admitted during the COVID period (2020). This finding has already been highlighted and discussed in another paper [2]. Interestingly, the modalities of treatment changed significantly during the weekend, probably due to local availability or reduced adherence to guidance and protocols. In fact, apparently a greater percentage of patients are treated surgically during weekends with respect to working days. This may reflect a more severe acute presentation of those patients, but also the lack of availability of alternative treatments such as interventional radiology or endoscopy. Among the patients treated with surgery, most have been operated on by open surgery and this percentage did not change during the weekend with respect to working days (57.1% vs. 57.6%), but for some reasons laparoscopic-to-open conversion triples during weekends. This may be related to more advanced presentations during weekends but also to the reduced availability of skilled laparoscopic surgeons in emergency during weekends. It is also possible that organisation factors played a role, with the operating surgeons during the weekend trying to reduce the burden on the already reduced surgical staff by avoiding long and tedious laparoscopic operations. It is more difficult to explain why this difference was more significant on working days during the COVID-19 pandemic, when there was no conversion in 2020 with respect to 2019. There is the possibility that official guidelines during COVID suggesting the avoidance of laparoscopy as much as possible to reduce the risk of viral transmission through the surgical smoke may have suggested a more selective application of this technique to the easiest cases. Although length of stay was longer for patients admitted during weekends, their readmission rate is significantly lower. To try to clarify this finding, we performed a regression analysis and a Pearson’s correlation analysis on the entire series to confirm the initial idea that longer stay would be associated with reduced risk of readmission. Surprisingly, both analyses showed that there is a direct correlation (and not inverse as we expected) between length of stay and risk of readmission, probably since patients in poorer general conditions had a longer stay and a higher risk of long-term complications causing readmission. However, an in-depth analysis of this aspect is beyond the scope of this work and may require a wider collection of data. Zapf et al. found a direct correlation between weekend admission and length of stay, in particular for hot gallbladders [10]. Our subgroup analysis confirmed this finding. This may be possibly explained by the fact that some surgeons (and some units) are not particularly keen to embark into potentially difficult cholecystectomies during the weekend and prefer to postpone the difficult operations to workdays, when subspecialist expertise may be available. In actual facts, the treatment of acute cholecystitis may be extremely tricky and may need a multidisciplinary approach. Our analysis showed that the interventional treatment for acute cholecystitis (cholecystostomy) may not be widely available during the weekends, hence the reduced percentage of those who benefit of it. Interestingly, it seems that the laparoscopic approach was used more often during weekend for complicated inguinal hernias and small bowel obstruction. This finding contrasts with the alleged difficulties in performing emergency laparoscopic surgery off-hours and during weekends and represents a very good sign of maturity and flexibility of European health systems. It may be explained, possibly, by the reduced pressure of elective surgery, and the consequently more relaxed environment, on Saturdays and Sundays. Strengths of this study are its multicentric nature and its large sample. This allowed us to get a reliable snapshot on the differences in emergency surgical admissions and treatments in Europe during weekends versus weekdays. Limitations are its retrospective nature and possibly the imbalanced distribution of participating units, most of them being from Italy.

Conclusions

Our analysis demonstrated that (1) there is no significant difference in the distribution of emergency diagnoses between workdays and weekend, other than for hot gallbladders, (2) there is no difference in the rate of frail and comorbid patients admitted during workdays with respect to weekend, (3) the first wave of the COVID-19 pandemic did not impact on the weekdays versus weekend relation, (4) the approach to surgical emergencies changes significantly during the week end, probably due to different available skillset and therapeutic capacity, in particular for hot gallbladders, and this may prolong the length of stay and reduce the turnover. This may or may not lead to different outcomes in terms of mortality and morbidity, but managers and policy-makers should be aware of this minimal but significant discrepancy to be able to reshape the emergency surgical services to meet the need of the population with the same level of healthcare 7 days a week.
  8 in total

1.  The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.

Authors:  Erik von Elm; Douglas G Altman; Matthias Egger; Stuart J Pocock; Peter C Gøtzsche; Jan P Vandenbroucke
Journal:  J Clin Epidemiol       Date:  2008-04       Impact factor: 6.437

2.  Is there a "weekend effect" in emergency general surgery?

Authors:  David Metcalfe; Manuel Castillo-Angeles; Arturo J Rios-Diaz; Joaquim M Havens; Adil Haider; Ali Salim
Journal:  J Surg Res       Date:  2018-02       Impact factor: 2.192

3.  A 'weekend effect' in operative emergency general surgery.

Authors:  Justin S Hatchimonji; Elinore J Kaufman; Catherine E Sharoky; Lucy W Ma; Daniel N Holena
Journal:  Am J Surg       Date:  2019-11-13       Impact factor: 2.565

4.  Mortality for emergency laparotomy is not affected by the weekend effect: a multicentre study.

Authors:  H Nageswaran; V Rajalingam; A Sharma; A O Joseph; M Davies; H Jones; M Evans
Journal:  Ann R Coll Surg Engl       Date:  2019-05       Impact factor: 1.891

5.  The "weekend effect" in urgent general operative procedures.

Authors:  Matthew A C Zapf; Anai N Kothari; Talar Markossian; Gopal N Gupta; Robert H Blackwell; Phillip Y Wai; Cynthia E Weber; Joseph Driver; Paul C Kuo
Journal:  Surgery       Date:  2015-05-23       Impact factor: 3.982

6.  Understanding the "Weekend Effect" for Emergency General Surgery.

Authors:  Richard S Hoehn; Derek E Go; Vikrom K Dhar; Young Kim; Dennis J Hanseman; Koffi Wima; Shimul A Shah
Journal:  J Gastrointest Surg       Date:  2017-09-29       Impact factor: 3.452

7.  Effect of day of the week on short- and long-term mortality after emergency general surgery.

Authors:  M A Gillies; N I Lone; R M Pearse; C Haddow; L Smyth; R W Parks; T S Walsh; E M Harrison
Journal:  Br J Surg       Date:  2017-03-21       Impact factor: 6.939

8.  Emergency surgery admissions and the COVID-19 pandemic: did the first wave really change our practice? Results of an ACOI/WSES international retrospective cohort audit on 6263 patients.

Authors:  Giovanni D Tebala; Marika S Milani; Mark Bignell; Giles Bond-Smith; Christopher Lewis; Roberto Cirocchi; Salomone Di Saverio; Fausto Catena; Marco Scatizzi; Pierluigi Marini
Journal:  World J Emerg Surg       Date:  2022-01-28       Impact factor: 5.469

  8 in total
  2 in total

1.  Bariatric surgery: to bleed or not to bleed? This is the question.

Authors:  Giovanna Pavone; Alberto Gerundo; Mario Pacilli; Alberto Fersini; Antonio Ambrosi; Nicola Tartaglia
Journal:  BMC Surg       Date:  2022-09-04       Impact factor: 2.030

2.  Emergency Surgery for Colon Diseases in Elderly Patients-Analysis of Complications, and Postoperative Course.

Authors:  Mario Pacilli; Alberto Fersini; Giovanna Pavone; Pasquale Cianci; Antonio Ambrosi; Nicola Tartaglia
Journal:  Medicina (Kaunas)       Date:  2022-08-06       Impact factor: 2.948

  2 in total

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