Assessment of Hospital Characteristics and Interhospital Transfer Patterns of Adults With Emergency General Surgery Conditions

Effect of Inter-Hospital Transfer on Mortality in Patients Admitted through the Emergency Department

Background: Despite advancements in emergency medical systems, inter-hospital transfer (IHT) remains a critical component. Several studies have analyzed the impact of IHT on patient outcomes. Some studies have reported positive effects, indicating that transfers can improve patient prognosis. However, other studies have suggested that transfers may worsen outcomes. We investigated whether IHT is associated with in-hospital mortality. Methods: This retrospective observational study utilized data on patient outcomes from the National Emergency Department Information System (NEDIS) from 2016 to 2018, focusing on patients admitted to hospitals after visiting the emergency department (ED). The primary outcome was the in-hospital mortality rate. Results: This study included 2,955,476 adult patients admitted to emergency medical centers, with 832,598 (28.2%) undergoing IHT. The in-hospital mortality rate was significantly higher in the transfer group (6.9%) than in the non-transfer group (4.8%). Multiple logistic regression analysis revealed that IHT was an independent predictor of in-hospital mortality (adjusted odds ratio [aOR] 1.114, 95% confidence interval [CI] 1.101-1.128) after adjusting for variables. Sub-analysis indicated that higher severity scores, shorter symptom onset-to-arrival duration, and diagnoses of infectious or respiratory diseases were significantly associated with increased in-hospital mortality among transferred patients. Conclusions: This study identifies IHT as a significant factor associated with increased in-hospital mortality. Additionally, it suggested the need for policies to mitigate the risks associated with IHT, particularly in critically ill patients, those with the acute phase response, and those with infectious, genitourinary, and respiratory diseases.

Using NEMSIS to report annual air medical transport statistics

OBJECTIVE

The objective of this study was to use the National Emergency Medical Services Information System (NEMSIS) dataset to generate national air medical transport statistics.

METHODS

Retrospective review of the 2021 NEMSIS dataset to identify all air medical transfers, both fixed- and rotor-wing. Transfers where then subcategorized into interfacility and scene responses. Frequencies for each category were generated and reported.

RESULTS

A total of 317,267 air medical transfers were completed in 2021. These included 19,421 (6 %) with missing incident location code data. Of the 297,706 transfers with valid location codes, 208,689 (70%) were interfacility transfers, and 89,016 (30%) were scene responses.

CONCLUSION

These preliminary results are consistent with other national estimates and achieve representation of all states and territories. Future work will include longitudinal analysis of NEMSIS datasets and direct survey of transport programs to establish long-term reliability.

Inter-Hospital Transfer Is an Independent Risk Factor for Hospital-Associated Infection

Background: Regionalization of surgical care shifts higher acuity patients to larger centers. Hospital-associated infections (HAIs) are important quality measures with financial implications. In our ongoing efforts to eliminate HAIs, we examined the potential role for inter-hospital transfer in our cases of HAI across a multihospital system. Hypothesis: Surgical patients transferred to a regional multihospital system have a higher risk of National Healthcare Safety Network (NHSN)-labeled HAIs. Patients and Methods: The analysis cohort of adult surgical inpatients was filtered from a five-hospital health system administration registry containing encounters from 2014 to 2021. The dataset contained demographics, health characteristics, and acuity variables, along with the NHSN defined HAIs of central line-associated blood stream infection (CLABSI), catheter-associated urinary tract infection (CAUTI), and Clostridioides difficile infection (CDI). Univariable and multivariable statistics were performed. Results: The surgical cohort identified 92,832 patients of whom 3,232 (3.5%) were transfers. The overall HAI rate was 0.6% (528): 86 (0.09%) CLABSI, 133 (0.14%) CAUTI, and 325 (0.35%) CDI. Across the three HAIs, the rate was higher in transfer patients compared with non-transfer patients (CLABSI: n = 18 (1.3%); odds ratio [OR], 4.79; CAUTI: n = 25 (1.8%); OR, 4.20; CDI: n = 37 (1.1%); OR, 3.59); p < 0.001 for all. Multivariable analysis found transfer patients had an increased rate of HAIs (OR, 1.56; p < 0.001). Conclusions: There is an increased risk-adjusted rate of HAIs in transferred surgical patients as reflected in the NHSN metrics. This phenomenon places a burden on regional centers that accept high-risk surgical transfers, in part because of the downstream effects of healthcare reimbursement programs.

Unit-to-unit transfer due to shortage of intensive care beds in Sweden 2015-2019 was associated with a lower risk of death but a longer intensive care stay compared to no transfer: a registry study

BACKGROUND

Intensive care unit-to-unit transfer due to temporary shortage of beds is increasing in Sweden. Transportation induces practical hazards, and the change of health care provider may prolong the length of stay in intensive care. We previously showed that the risk of death at 90 days did not differ between patients transferred due to a shortage of beds and non-transferred patients with a similar burden of illness in a tertiary intensive care unit. The aim of this study was to widen the analysis to a nation-wide cohort of critically ill patients transferred to another intensive care unit in Sweden due to shortage of intensive care beds.

METHODS

Retrospective comparison between capacity transferred and non-transferred patients, based on data from the Swedish Intensive Care Registry during a 5-year period before the COVID-19 pandemic. Patients with insufficient data entries or a recurring capacity transfer within 90 days were excluded. To assess the association between capacity transfer and death as well as intensive care stay within 90 days after ICU admission, logistic regression models with step-wise adjustment for SAPS3 score, primary ICD-10 ICU diagnosis and the number of days in the intensive care unit before transfer were applied.

RESULTS

From 161,140 eligible intensive care admissions, 2912 capacity transfers were compared to 135,641 discharges or deaths in the intensive care unit. Ninety days after ICU admission, 28% of transferred and 21% of non-transferred patients were deceased. In the fully adjusted model, capacity transfer was associated with a lower risk of death within 90 days than no transfer; OR (95% CI) 0.71 (0.65-0.69) and the number of days spent in intensive care was longer: 12.4 [95% CI 12.2-12.5] vs 3.3 [3.3-3.3].

CONCLUSIONS

Intensive care unit-to-unit transfer due to shortage of bed capacity as compared to no transfer during a 5-year period preceding the COVID-19 pandemic in Sweden was associated with lower risk of death within 90 days but with longer stay in intensive care.

Initial treatment of uninsured patients with ST-elevation myocardial infarction by facility percutaneous coronary intervention capabilities

BACKGROUND

Timely reperfusion is necessary to reduce morbidity and mortality in patients with ST-elevation myocardial infarction (STEMI). Initial care by facilities with percutaneous coronary intervention (PCI) capabilities reduces time to reperfusion. We sought to examine whether insurance status was associated with initial care at emergency departments (EDs) with PCI capabilities among adult patients with STEMI.

METHODS

We conducted a retrospective cross-sectional study using Department of Healthcare Access and Information, a nonpublic statewide database reporting ED visits and hospitalizations in California. We included adults initially arriving at EDs with STEMI by diagnostic code (International Classification of Diseases Ninth Revision or 10th Revision) from 2011 to 2019. Multivariable logistic regression modeling included initial care by PCI capable facility as the primary outcome and insurance status (none vs. any) as the primary exposure. Covariates included patient, facility, and temporal factors and we conducted multiple robustness checks.

RESULTS

We analyzed 135,358 eligible visits with STEMI included. In our multivariable model, the odds of uninsured patients being initially treated at a PCI-capable facility were significantly lower than those of insured patients (adjusted odds ratio 0.62, 95% CI 0.54-0.72, p < 0.001) and was unchanged in sensitivity analyses.

CONCLUSIONS

Uninsured patients with STEMI had significantly lower odds of first receiving care at facilities with PCI capabilities. Our results suggest potential disparities in accessing high-quality and time-sensitive treatment for uninsured patients with STEMI.

Outcomes of Emergency Trauma Patients After the Implementation of Web Application Operating Systems

PURPOSE

Trauma has significant impacts on the livelihoods and well-being of patients. Prompt emergency, medical, and nursing care is the key to reducing mortality rates. Digital platforms have become important for patient care. This research aimed to evaluate patient outcomes after implementing a novel web application operating system in trauma care.

METHODS

A descriptive comparative study was conducted on trauma patients. The patients were divided into two groups: those who used the developed application (n = 70) and those who did not (n = 70). The patients' characteristics, the time of the trauma team's arrival at the emergency department (ED) and the length of stay in the ED, and patients' outcomes were collected from electronic medical records and the application database. A statistical analysis was performed to evaluate this data. Sixty registered nurses who used the application completed the survey on the feasibility of the application.

RESULTS

The activated trauma intervals for the non-application-used group and the application-used group were 5.0 ± 1.1 and 3.1 ± 0.4 minutes, respectively (p = .010). The length of stay in the ED for the non-application-used group and the application-used group were 30.1 ± 5.1 and 18.3 ± 6.2 minutes, respectively. A high level of agreement confirms the feasibility of the application.

CONCLUSIONS

This application improves patient outcomes in terms of length of stay. This mobile application can improve the cooperation and communication and efficacy of the trauma care team.

Acute Care Surgery and Surgical Rescue: Expanding the Definition

BACKGROUND

Surgical rescue (SR) is the recovery of patients with surgical complications. Patients transferred (TP) for surgical diagnoses to higher-level care or inpatients (IP) admitted to nonsurgical services may develop intra-abdominal infection (IAI) and require emergency surgery (ES). The aims were to characterize the SR population by the site of ES consultation, open abdomen (OA), and risk of mortality.

STUDY DESIGN

This was an international, multi-institutional prospective observational study of patients requiring ES for IAI. Laparotomy before the transfer was an exclusion criterion. Patients were divided into groups: clinic/ED (C/ED), IP, or TP. Data collected included demographics, the severity of illness (SOI), procedures, OA, and number of laparotomies. The primary outcome was mortality. Multivariable logistic regression models were constructed.

RESULTS

There were 752 study patients (C/ED 63.8% vs TP 23.4% and IP 12.8%), with a mean age of 59 years and 43.6% women. IP had worse SOI scores (Charlson Comorbidity Index, American Society of Anesthesiologists Physical Status Classification System, and Sequential Organ Failure Assessment). The most common procedures were small and large bowel (77.3%). IP and TP had similar rates of OA (IP 52.1% and TP 52.3 %) vs C/ED (37.7%, p < 0.001), and IP had more relaparotomies (3 or 4). The unadjusted mortality rate was highest in IP (n = 24, 25.0%) vs TP (n = 29, 16.5%) and C/ED (n = 68, 14.2%, p = 0.03). Adjusting for age and SOI, only SOI had an impact on the risk of mortality (area under the curve 86%).

CONCLUSIONS

IP had the highest unadjusted mortality after ES for IAI and was followed by the TP; SOI drove the risk of mortality. SR must be extended to IP for timely recognition of the IAI.

Greater patient sharing between hospitals is associated with better outcomes for transferred emergency general surgery patients

BACKGROUND

Access to emergency surgical care has declined as the rural workforce has decreased. Interhospital transfers of patients are increasingly necessary, and care coordination across settings is critical to quality care. We characterize the role of repeated hospital patient sharing in outcomes of transfers for emergency general surgery (EGS) patients.

METHODS

A multicenter study of Wisconsin inpatient acute care hospital stays that involved transfer of EGS patients using data from the Wisconsin Hospital Association, a statewide hospital discharge census for 2016 to 2018. We hypothesized that higher proportion of patients transferred between hospitals would result in better outcomes. We examined the association between the proportion of EGS patients transferred between hospitals and patient outcomes, including in-hospital morbidity, mortality, and length of stay. Additional variables included hospital organizational characteristics and patient sociodemographic and clinical characteristics.

RESULTS

One hundred eighteen hospitals transferred 3,197 emergency general surgery patients over the 2-year study period; 1,131 experienced in-hospital morbidity, mortality, or extended length of stay (>75th percentile). Patients were 62 years old on average, 50% were female, and 5% were non-White. In the mixed-effects model, hospitals' proportion of patients shared was associated with lower odds of an in-hospital complication; specifically, when the proportion of patients shared between two hospitals doubled, the relative odds of any outcome changed by 0.85.

CONCLUSION

Our results suggest the importance of emergent relationships between hospital dyads that share patients in quality outcomes. Transfer protocols should account for established efficiencies, familiarity, and coordination between hospitals.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

Operation of national coordinating service for interhospital transfer from emergency departments: experience and implications from Korea

BACKGROUND

Since 2014, Korea has been operating the National Emergency Medical Situation Room (NEMSR) to provide regional emergency departments (EDs) with coordination services for the interhospital transfer of critically ill patients. The present study aimed to describe the NEMSR's experience and interhospital transfer pattern from EDs nationwide, and investigate the factors related to delayed transfers or transfers that could not be arranged by the NEMSR.

METHODS

This study was a retrospective cross-sectional analysis of the NEMSR's coordination registry from 2017 to 2019. The demographic and hospital characteristics related to emergency transfers were analyzed with hierarchical logistic models.

RESULTS

The NEMSR received a total of 14,003 requests for the arrangement of the interhospital transfers of critically ill patients from 2017 to 2019. Of 10,222 requests included in the analysis, 8297 (81.17%) successful transfers were coordinated by the NEMSR. Transfers were requested mainly due to a shortage of medical staff (59.79%) and ICU beds (30.80%). Delayed transfers were significantly associated with insufficient hospital resources. The larger the bed capacity of the sending hospital, the more difficult it was to coordinate the transfer (odds ratio [OR] for transfer not arranged = 2.04; 95% confidence interval [CI]: 1.48-2.82, ≥ 1000 beds vs. < 300 beds) and the longer the transfer was delayed (OR for delays of more than 44 minutes = 2.08; 95% CI: 1.57-2.76, ≥ 1000 beds vs. < 300 beds).

CONCLUSIONS

The operation of the NEMSR has clinical importance in that it could efficiently coordinate interhospital transfers through a protocolized process and resource information system. The coordination role is significant as information technology in emergency care develops while regional gaps in the distribution of medical resources widen.

Surgical Science and the Evolution of Critical Care Medicine

Surgical science has driven innovation and inquiry across adult and pediatric disciplines that provide critical care regardless of location. Surgically originated but broadly applicable knowledge has been globally shared within the pages Critical Care Medicine over the last 50 years.

Association Between Time to Source Control in Sepsis and 90-Day Mortality

Importance

Rapid source control is recommended to improve patient outcomes in sepsis. Yet there are few data to guide how rapidly source control is required.

Objective

To determine the association between time to source control and patient outcomes in community-acquired sepsis.

Design, Setting, and Particpants

Multihospital integrated health care system cohort study of hospitalized adults (January 1, 2013, to December 31, 2017) with community-acquired sepsis as defined by Sepsis-3 who underwent source control procedures. Follow-up continued through January 1, 2019, and data analyses were completed March 17, 2022.

Exposures

Early (<6 hours) compared with late (6-36 hours) source control as well as each hour of source control delay (1-36 hours) from sepsis onset.

Main Outcomes and Measures

Multivariable models were clustered at the level of hospital with adjustment for patient factors, sepsis severity, resource availability, and the physiologic stress of procedures generating adjusted odds ratios (aOR) and 95% CI.

Results

Of 4962 patients with sepsis (mean [SD] age, 62 [16] years; 52% male; 85% White; mean [SD] Sequential Organ Failure Assessment score, 3.8 [2.5]), source control occurred at a median (IQR) of 15.4 hours (5.5-21.7) after sepsis onset, with 1315 patients (27%) undergoing source control within 6 hours. The crude 90-day mortality was similar for early and late source control (n = 177 [14%] vs n = 529 [15%]; P = .35). In multivariable models, early source control was associated with decreased risk-adjusted odds of 90-day mortality (aOR, 0.71; 95% CI, 0.63-0.80). This association was greater among gastrointestinal and abdominal (aOR, 0.56; 95% CI, 0.43-0.80) and soft tissue interventions (aOR, 0.72; 95% CI, 0.55-0.95) compared with orthopedic and cranial interventions (aOR, 1.33; 95% CI, 0.96-1.83; P < .001 for interaction).

Conclusions and Relevance

Source control within 6 hours of community-acquired sepsis onset was associated with a reduced risk-adjusted odds of 90-day mortality. Prioritizing the rapid identification of septic foci and initiation of source control interventions can reduce the number of avoidable deaths among patients with sepsis.

Factors influencing interhospital transfer delays in emergency general surgery: a systematic review and narrative synthesis

BACKGROUND

Emergency general surgery is an emerging public health issue globally, with substantial healthcare burden. Interhospital transfer of critically unwell surgical patients has been the mainstay of bridging gaps in surgical coverage in regional and rural locations, despite evidence of greater morbidity and mortality. Delays in transfer invariably occurs and compounds the situation. Our aim was to examine the factors influencing interhospital transfer delays in emergency general surgical patients.

METHODS

A systematic search of PubMED and EmBase, was performed by two researchers from 2020 to 23rd Feb 2021, for English articles related to interhospital transfer delays in emergency general surgical patients, with an age of >16. Articles were critically appraised and data were extracted into a pre-specified data extraction form. No data was suitable for statistical analysis and a narrative synthesis was performed instead.

RESULTS

Six relevant articles were identified from the search. All studies were retrospective cohort studies with moderate to high risk of bias. Lack of consultant surgeon input, after hours transfer, need for intensive care bed and poor transfer documentation may have a role in interhospital transfer delays. Patients with public health insurance, multiple comorbidities and non-emergency medical conditions experience longer transfer request time and may be at risk of precipitating interhospital transfer delays. Transfer delays are seen in transfers over longer distances.

CONCLUSION

There is a paucity of knowledge on what and how factors influence interhospital transfer delays in emergency general surgical patients. Well-designed prospective cohort studies are required to bridge this knowledge gap.