Using Implementation Science in Surgical Care: A Scoping Review.

OBJECTIVE: Improvement of surgical care is dependent upon evidence-based practices (EBPs), policies, procedures, and innovations. The objective of this study was to understand and synthesize the use of implementation science (IS) in surgical care. SUMMARY BACKGROUND DATA: This article summarizes the existing literature to identify the frequency and types of EBPs selected for surgical care, IS frameworks that guided the published research, and prominent facilitators and barriers. METHODS: A modified version of the Arksey and O'Malley framework and the Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews Checklist were used to provide the guidance and standards to conduct this scoping review. We queried: Ovid MEDLINE; American Psychological Association PsycINFO; Embase; Cumulated Index to Nursing and Allied Health Literature; Web of Science; and Google Scholar for manuscripts published January 2001 - June 2023. RESULTS: The initial search found 3,674 citations of which 129 met inclusion criteria. The heterogeneity and volume of innovations within the surgical IS field were vast. The most frequent innovations were in peri-operative care, safety in surgery, and Enhanced Recovery After Surgery. Six constructs were identified as both major facilitators and barriers: support from leadership; surgeon and staff knowledge regarding EBPs; relationship/team building; environmental context; data; and resources. CONCLUSION: Identifying these implementation factors used in the surgical field enables us to determine variables that support and inhibit the adoption and implementation of new practices, support practice change, enhance quality and equity of surgical care, and identify research gaps for future IS in surgical care.

The Characterization of Violent Deaths Among Asian and Pacific Islander Americans.

INTRODUCTION: Health disparities in the Asian and Pacific Islander Americans (APIAs) community have not been well described, unlike non-Hispanic Black and Hispanic communities. However, there has been a rise in violence against the APIA community. This study explores and characterizes violent death by incident (e.g., homicide, suicide), weapon (e.g., firearm, strangulation), and location types among APIAs as they compare with other racial or ethnic groups. METHODS: We used the National Violent Death Reporting System from 2003 to 2018 to characterize violent deaths among APIA and compared them to all other races. We compared these racial categories in two ways. First, we compared all races as a categorical variable that included six non-Hispanic racial categories including "Other or unspecified" and "two or more races. We then created a binary variable of APIA versus All Other Races for analysis. We explored the incident type of death, substance abuse disorders, mental health history, and gang involvement among other variables. We used Chi-square tests for categorical variables and Mann-Whitney U-tests for continuous variables. RESULTS: Overall, APIAs had a unique pattern of violent death. APIAs were more likely to commit suicide (71.74%-62.21%, P<0.001) and less likely to die of homicide than other races (17.56%-24.31%, P<0.001). In the cases of homicide, APIAs were more likely to have their deaths precipitated by another crime (40.87% versus 27.87%, P < 0.001). APIAs were more than twice as likely to die of strangulation than other races (39.93%-18.06%, P<0.001). Conversely, APIAs were less likely to die by firearm than other races (29.69-51.51, P<0.001). CONCLUSIONS: APIAs have a unique pattern of violence based on analysis of data from the National Violent Death Reporting System. Our data reveal a significant difference in the incident, weapon and location type as compared to Americans of other races, which begs further inquiry into the patterns of change in time and factors that contribute to inter-racial differences in death patterns.

Immigrating to Unsafe Spaces: Unique Patterns of Homicide in Immigrant Victims Compared to Native-Born Citizens.

INTRODUCTION: Contrary to popular belief, immigrant enclaves produce less crime than other areas of the United States, yet that does not mean immigrants avoid violent crime altogether. The purpose of this project is to better characterize the victims of homicide in this population. Specifically, we sought to compare differences in victim demographics, injury patterns, and circumstances of violent death between the immigrant population and native-born victims of homicide. METHODS: We queried the National Violent Death Reporting System (NVDRS) from the years 2003-2019 for deaths in victims who were born outside of the United States. We extracted demographic information including age, race or ethnicity, means of homicide, and circumstances surrounding the event to compare immigrant to nonimmigrant deaths. RESULTS: Immigrant victims were less likely to be killed by a firearm and to have substance use or alcohol implicated. Immigrant victims were twice as likely to be killed during multiple homicide events that involved suicide of the perpetrator (2.1% to 1%, P ≤ 0.001) and to be killed by a stranger (12.9% to 6.2%, P ≤ 0.001). Immigrant victims were also more likely to be killed during the perpetration of another crime (19.1% to 15%, P ≤ 0.001), and more likely to be killed in a commercial setting such as a grocery store or retail outlet (7.6% to 2.4%, P ≤ 0.001). CONCLUSIONS: Injury prevention measures for the immigrant population require different techniques, focusing on distinct features of victimization centered on random acts in contrast to native-born citizens who tend to be victims of people they know.

Safer Behind Bars? Comparing In-Custody Deaths Prior to and During Incarceration.

INTRODUCTION: This project aims to characterize trauma-associated deaths of the American incarcerated population through legal intervention (LI) or death by law enforcement officials while in custody before and during incarceration. We determined the preceding events leading to violent death, including initiation of medical care, use of restraints and force, and demographics of the victims. METHODS: We used National Violent Death Reporting System data from the years 2003-2019 to identify deaths that occurred while in custody or incarcerated, including discriminate and narrative data. Event information included weapon type, location of death, incident type, incarceration status, use of restraints, and prone positioning. RESULTS: There were 86 victims who died from LI included in the analysis. Most events occurred after incarceration. All victims in our cohort were male, and race was an associated factor for death by LI. Only 16% of victims had an education level above high school/general educational development. Death by firearm compared to other weapons was significantly more common in the in-custody but not yet incarcerated group (83% versus 42%, P ≤ 0.0001). Other associated factors included a history of mental health, physical confrontations, the belief that the victim had a weapon, and being restrained in prone positioning. CONCLUSIONS: Our study shows that racial minority victims are disproportionately affected by LI deaths. Firearms and restraint type were important factors in LI deaths. Our findings suggest that violence prevention in the justice system should focus on prevention and de-escalation across setting with specific attention to use of force and inmate access to the weapons of police, guards, and other law and justice system workers. More transparent quality data is sorely needed to adequately define and address this problem.

Sex Differences in Violent Death During Incarceration and Legal Intervention.

INTRODUCTION: This study clarifies the differences in death during incarceration and legal intervention between males and females, delineating the differences in demographic features and the circumstances of the violent death including location, injury pattern, and perpetrator. METHODS: The data used are from the National Violent Death Reporting System database from 2003 to 2019. All victims were either in custody, in the process of custody, or in prison. Sex was coded as female or male and as assigned at birth. All analyses were conducted using SAS 9.4 software using chi-square tests, with an alpha of 0.05 to test significant differences in the circumstances of mortality and demographic characteristics for each group. RESULTS: Our findings show that suicide was the most common cause of death during incarceration for both females and males (89.8% versus 77.4%; P < 0.001). Homicide was less common in females (1.6% versus 14.8%; P < 0.001) and legal intervention only occurred in males (2.2%; P < 0.001). Male victims were more likely to be of non-White race/ethnicity compared to females, while females were more likely to be experiencing homelessness, have documented mental illness, and comorbid substance abuse. CONCLUSIONS: Victim sex is significantly associated with circumstances of violent death among the incarcerated and highlights the need for appropriate mental health and substance abuse treatment.

Suicide Among Persons Experiencing Homelessness.

INTRODUCTION: This study aims to characterize suicide and associated disparities among persons experiencing homelessness (PEH). MATERIALS AND METHODS: We reviewed suicide victims in the National Violent Death Reporting System (NVDRS) from 2003 to 2018 and compared factors surrounding suicides of PEH to factors of housed victims. We also utilized the Point-in-Time (PIT) survey (2010-2018), and census population estimates, to estimate suicide rates among PEH and the wider population. RESULTS: 1.1% of suicide victims were described as experiencing homelessness at the time of their deaths, a value that is disproportional given the overall homeless rates of 0.2% in the past decade. Compared to nonhomeless victims, PEH were more likely to be younger, Black, male, and nonveterans. PEH were significantly more likely to have an identified alcohol/substance use disorder. PEH were half as likely to die via firearm and were more likely to die in natural areas, motels, and the streets. PEH were significantly more likely to have a history of suicidal thoughts, a history of suicide attempts, and a history of disclosure of intent, particularly to health care workers. CONCLUSIONS: PEH are disproportionately overrepresented among all suicide victims, but the circumstances surrounding their deaths create opportunity for targeted interventions.

Making it Complicated: Does Disparity in Access to Care Lead to More Perforated Appendicitis?

INTRODUCTION: Delays in obtaining care may lead to perforated appendicitis, increasing risk of morbidity and mortality. We previously explored the role of social determinants in patients undergoing cholecystectomy, finding that emergent presentation is associated with neighborhood Social Vulnerability Index (SVI). We hypothesize that social vulnerability is associated with increased incidence of perforated appendicitis. METHODS: We retrospectively identified patients presenting to our urban, academic hospital with acute appendicitis during a 9-month timeframe (11/2019 - 7/2020). Patients were classified as perforated or non-perforated. Patient SVI was determined using geocoding at the census tract level. Because rates of perforation were higher in older patients, we performed a subset analysis of patients ≥ 40 years. RESULTS: 190 patients were included. Patients with perforated appendicitis (n = 48, 25%) were older and were more likely to present to a clinic versus the emergency department (P = 0.009). Perforated patients had longer delay before seeking care (56% versus 6% with > 72 hours of symptoms, P < 0.001). However, there were no differences between groups in terms of sex, race/ethnicity, insurance type, language barrier, having a primary care physician, or any of the SVI subscales. Of patients ≥ 40 years, a higher proportion were perforated (28/80, 35%) despite similar rates of delayed care. In this cohort, higher overall SVI as well as the socioeconomic status and household composition/disability subscales were associated with perforation. CONCLUSIONS: Contrary to our hypothesis, while perforation was associated with delayed care in this population, we did not find overall that social vulnerability or individual social determinants accounted for this delay.

Vulnerable populations and the emergency ventral hernia: A retrospective cohort study.

INTRODUCTION: Ventral hernias can be repaired electively; however, many circumstances require emergency repair. The association between sociodemographic status and rate of emergency repair are unclear and the Social Vulnerability Index may be a useful tool to better understanding this association. The purpose of this study was to investigate the association between Social Vulnerability Index and emergency ventral hernia repair. METHODS: This was a retrospective cohort study using the National Surgical Quality Improvement Program (2012-2018) data for patients at a level 1 trauma center. We included patients who had an open ventral hernia repair. Social Vulnerability Index was based on residential address at the time of surgery. We conducted univariate and bivariate statistics, including χ2 and Mann-Whitney U tests to compare high and low social vulnerability. RESULTS: Our sample had 1,017 patients. Patients who underwent emergency operations were older (P = .025) and had higher Social Vulnerability Index (P = .029). Patients in the high Social Vulnerability Index group were 1.5 times more likely to receive emergency surgery (P = .047). Emergency repair was also associated with increased frequency of nonhome discharge (9% vs 2%, P = .001) and higher mean work relative value unit (15.4 vs 11.9, P < .001). CONCLUSION: Patients requiring emergency ventral hernia repair have significantly higher Social Vulnerability Index than those undergoing elective repair. This vulnerable population also has increased cost associated with the repair and higher rates of nonhome discharge. This work provides a foundation for efforts to reach patients in high Social Vulnerability Index environments at an earlier stage to achieve earlier elective repair.

Left out in the cold: Homicide amongst persons experiencing homelessness.

BACKGROUND: There is no American population-level study comparing the characteristics of homicides involving victims who were vs were not experiencing homelessness at time of death. We aim to identify variables surrounding homeless homicide that are unique, and intervenable. METHODS: In this retrospective cohort study, we reviewed the National Violent Death Reporting System (NVDRS) from 2003 to 2018 and compared the characteristics surrounding homicides of victims who were not-homeless (cohort 1) vs experiencing homelessness (cohort 2) at death. We utilized the available perpetrator data to characterize the average perpetrator for each cohort. We considered housing status to be our primary predictor and recorded NVDRS variables, such as age of victims and likelihood to know perpetrators, to be our primary outcomes. RESULTS: 81,212 Homicide Victims and 60,982 Homicide Perpetrators were included in analysis. Homeless cohort victims were more likely younger, White, male, and to have a known mental health or substance abuse disorder. PEH were also more likely to have co-morbid mental health and substance abuse disorders but were roughly half as likely to be getting treatment for said disorders. Circumstances surrounding incidents, including geographic location, mechanism of injury, and premeditation, varied; homeless cohort victims were more likely to die in random acts of violence, but were less likely to die via firearm. CONCLUSIONS: There is room for targeted interventions against homeless homicides. LEVEL OF EVIDENCE: Epidemiological, Level IV.

Formative evaluation of the development and implementation of the automated surveillance of postoperative infections tool.

BACKGROUND: The gold standard for detecting postoperative complications uses databases like the American College of Surgeons National Surgical Quality Improvement Program, a multi-centered database based on manual chart review. However, their limitations and costs have led many centers to discontinue participation. Novel techniques to detect postoperative complications must be developed and implemented with surgeon involvement, which is paramount to their adoption. We sought to assess surgeons' opinions of a newly developed postoperative complication detection tool, the Automated Surveillance of Postoperative Infections, within the contextual clinical environment. METHODS: This was a multi-site qualitative formative evaluation of surgeon perceptions of the Automated Surveillance of Postoperative Infections. We conducted semi-structured interviews and focus groups with surgeons and presented the Automated Surveillance of Postoperative Infections concept. Important domains and constructs, as categorized by Consolidated Framework for Implementation Research, were identified to support the successful adoption and implementation of the Automated Surveillance of Postoperative Infections. RESULTS: Twenty-four surgeons with 10 surgical subspecialties were interviewed. The following 4 main themes were found: (1) perception of the Automated Surveillance of Postoperative Infections tool-to provide important data that can improve and support clinical outcomes; (2) environment for implementation-description of factors to support or impede implementation; (3) adaptability of the Automated Surveillance of Postoperative Infections-to work with the complexity of surgical cases; and (4) the Automated Surveillance of Postoperative Infections report format and details. CONCLUSIONS: We successfully captured the perspectives and suggestions of surgeons to improve the Automated Surveillance of Postoperative Infections and potential barriers during the initial development phase. Barriers included fear of punitive action from reports and complex surgical cases. Facilitators identified were the need to improve clinical outcomes and organizational support. The results of this formative evaluation will be used to further develop Automated Surveillance of Postoperative Infections, starting with a prototype, the Automated Surveillance of Postoperative Infections 1.0.

Prioritizing rapid COVID-19 testing in emergency general surgery patients decreases burden of inpatient hospital admission.

Objectives: The COVID-19 pandemic has changed delivery of emergency general surgery (EGS) and contributed to widespread bed shortages. At our institution, rapid testing is not routinely approved for EGS patients. We examined common EGS conditions (appendicitis and acute cholecystitis), hypothesizing that necessity of testing for COVID-19 significantly delayed operative intervention. Methods: We performed a prepost study to examine a 2-month timeframe, or historical control, prior to COVID-19 testing (January 1, 2020-March 1, 2020) as well as a 2-month timeframe during the COVID-19 era (January 1, 2021-March 1, 2021). We chose conditions that are frequently treated surgically as outpatient or observation status. We examined time for COVID-19 test to result, and associated time to operative intervention (operating room (OR)) and need for admission. Results: Median time to COVID-19 test results was 7.4 hours (IQR 5.8-13.1). For appendectomy, time to surgical consultation or case request did not differ between cohorts. Time to OR after case request was significantly longer (12.5 vs 1.9 hours, p<0.001) and patients more frequently required admission prior to operative intervention if receiving treatment in the COVID-19 timeframe. Similarly, for cholecystectomy there were no differences in time to surgical consultation or case request, but time to OR after case request was longer in the COVID-19 era (21.1 vs 9.0 hours, p<0.001). Conclusion: While COVID-19 positivity rates have declined, the purpose of this study was to reflect on one element of our hospital system's response to the COVID-19 pandemic. Based on our institutional experience, waiting for COVID-19 test results directly impacts time to surgery, as well as the need for admission for a historically outpatient procedure. In the future, if the healthcare system is asked to respond to another pandemic or similar situation, expediting time to OR to eliminate unnecessary time in the hospital and non-critical admissions should be paramount. Level of evidence: Level III, prognostic/epidemiological.

Development and validation of models for detection of postoperative infections using structured electronic health records data and machine learning.

BACKGROUND: Postoperative infections constitute more than half of all postoperative complications. Surveillance of these complications is primarily done through manual chart review, which is time consuming, expensive, and typically only covers 10% to 15% of all operations. Automated surveillance would permit the timely evaluation of and reporting of all operations. METHODS: The goal of this study was to develop and validate parsimonious, interpretable models for conducting surveillance of postoperative infections using structured electronic health records data. This was a retrospective study using 30,639 unique operations from 5 major hospitals between 2013 and 2019. Structured electronic health records data were linked to postoperative outcomes data from the American College of Surgeons National Surgical Quality Improvement Program. Predictors from the electronic health records included diagnoses, procedures, and medications. Infectious complications included surgical site infection, urinary tract infection, sepsis, and pneumonia within 30 days of surgery. The knockoff filter, a penalized regression technique that controls type I error, was applied for variable selection. Models were validated in a chronological held-out dataset. RESULTS: Seven percent of patients experienced at least one type of postoperative infection. Models selected contained between 4 and 8 variables and achieved >0.91 area under the receiver operating characteristic curve, >81% specificity, >87% sensitivity, >99% negative predictive value, and 10% to 15% positive predictive value in a held-out test dataset. CONCLUSION: Surveillance and reporting of postoperative infection rates can be implemented for all operations with high accuracy using electronic health records data and simple linear regression models.