Community of trauma care partnering with stakeholders to improve injury outcomes: focus group analysis.

Introduction: Engaging trauma survivors/caregivers results in research findings that are more relevant to patients' needs and priorities. Although their perspectives increase research significance, there is a lack of understanding about how best to incorporate their insights. We aimed to capture stakeholder perspectives to ensure research is meaningful, respectful, and relevant to the injured patient and their caregivers. Methods: A multiphase, inductive exploratory qualitative study was performed, the first phase of which is described here. Virtual focus groups to elicit stakeholder perspectives and preferences were conducted across 19 trauma centers in the USA during 2022. Discussion topics were chosen to identify patients' motivation to join research studies, preferences regarding consent, suggestions for increasing diversity and access, and feelings regarding outcomes, efficacy, and exception from informed consent. The focus groups were audio recorded, transcribed, coded, and analyzed to identify the range of perspectives expressed and any common themes that emerged. Results: Ten 90-minute focus groups included patients/caregiver (n=21/1) and researchers (n=14). Data analysis identified common themes emerging across groups. The importance of trust and preexisting relationships with the clinical care team were the most common themes across all groups. Conclusion: Our findings reveal common themes in preferences, motivations, and best practices to increase patient/caregiver participation in trauma research. The project's next phases are distribution of a vignette-based survey to establish broad stakeholder consensus; education and dissemination activities to share strategies that increase research engagement and relevance for patients; and the formation of a panel of patients to support future research endeavors. Level of evidence: Level IV.

Mobile health follow-up screening to risk stratify patients in need of further care in a low resource setting: Results from a prospective multisite implementation study.

BACKGROUND: Routine in-person follow-up for injured patients after hospital discharge is unfeasible in low- and middle-income countries where trauma morbidity and mortality are the highest. Mobile technology screening may facilitate early detection of complications and timely treatment. In this prospective, multisite implementation study, we cross-validate the performance of a cellphone screening tool developed to risk stratify trauma patients in need of further care after discharge in Cameroon. METHODS: Between June 2019 and August 2022, research assistants contacted trauma patients by cellphone 2 weeks after discharge to administer a 14-question follow-up survey. All surveyed patients were asked to return for a physical examination. Physicians blinded to survey results categorized patients as low or moderate or high risk (HR) for poor outcomes without further care. Logistic regression tested associations between each survey question and physician examination. Predictive survey questions generated a preliminary model with high sensitivity for identifying patients in need of further care. RESULTS: Of 1,712 successfully contacted patient households, 96% (1643) participated in telephone triage compared with 33% (560) who returned for physician examination. Physicians designated 39% (220) as being HR. On multiple logistic regression, 8 of 13 candidate triage questions were independently associated with HR. Positive survey response on the resultant eight question screen yielded 89.2% sensitivity for HR with a 10.8% false negative rate. Weighted for variable importance based on triage risk scores, 39% of triaged patients screened as low risk, 39% as moderate risk, and 22% as high risk for HR. Likelihood of HR was significantly greater for patients screening as high (odds ratio, 5.9) or moderate risk (odds ratio, 1.9; both p < 0.01). CONCLUSION: Cellphone triage provides sensitive risk stratification of patients in need of further care after hospital discharge in Cameroon. Given low in-person return rates, limited resources should highly prioritize efforts to repatriate patients screening as high risk for poor outcomes. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level III.

A cost-effectiveness analysis of surgical care delivery in Eastern Uganda-a societal perspective.

BACKGROUND: The mismatch between the global burden of surgical disease and global health funding for surgical illness exacerbates disparities in surgical care access worldwide. Amidst competing priorities, governments need to rationally allocate scarce resources to address local needs. To build an investment case for surgery, economic data on surgical care delivery is needed. This study focuses on femur fractures. METHODS: This prospective cohort study at Soroti Regional Referral Hospital (SRRH), captured demographic, clinical, and cost data from all surgical inpatients and their caregivers at SRRH from February 2018 through July 2019. We performed descriptive and inferential analyses. We estimated the cost effectiveness of intramedullary nailing relative to traction for femur fractures by using primary data and making extrapolations using regional data. RESULTS: Among the 546 patients, 111 (20.3%) had femur fractures and their median [IQR] length of hospitalization was 27 days [14, 36 days]. The total societal cost and Quality Adjusted Life Year (QALY) gained was USD 61,748.10 and 78.81 for femur traction and USD 23,809 and 85.47 for intramedullary nailing. Intramedullary nailing was dominant over traction of femur fractures with an Incremental Cost Effectiveness Ratio of USD 5,681.75 per QALY gained. CONCLUSION: Femur fractures are the most prevalent and most expensive surgical condition at SRRH. Relative to intramedullary nailing, the use of femur traction at SRRH is not cost effective. There is a need to explore and adopt more cost-effective approaches like internal fixation.

In-Hospital Obstetric Delays in Rural Uganda: A Cross-Sectional Analysis of a Hospital Cohort.

BACKGROUND: Deaths related to pregnancy and childbirth are extremely high in low-resource countries such as Uganda. Maternal mortality in low- and middle-income countries is related to delays in seeking, reaching, and receiving adequate health care. This study aimed to investigate the in-hospital delays to surgical care for women in labor arriving to Soroti Regional Referral Hospital (SRRH). METHODS: From January 2017 to August 2020, we collected data on obstetric surgical patients in labor using a locally developed, context-specific obstetrics surgical registry. Data regarding patient demographics, clinical and operative characteristics, as well as delays in care and outcomes were documented. Descriptive and multivariate statistical analyses were conducted. RESULTS: A total of 3189 patients were treated during our study period. Median age was 23 years, most gestations were at term (97%) at the time of operation, and nearly all patients underwent Cesarean Section (98.8%). Notably, 61.7% of patients experienced at least one delay in their surgical care at SRRH. Lack of surgical space was the greatest contributor to delay (59.9%), followed by lack of supplies or personnel. The significant independent predictors of delayed care were having a prenatal acquired infection (AOR 1.73, 95% CI 1.43-2.09) and length of symptoms less than 12 h (AOR 0.32, 95% CI 0.26-0.39) or greater than 24 h (AOR 2.61, 95% CI 2.18-3.12). CONCLUSION: In rural Uganda, there is a significant need for financial investment and commitment of resources to expand surgical infrastructure and improve care for mothers and neonates.

Increased Surgical Delays Seen During the COVID-19 Pandemic in a Regional Referral Hospital in Soroti, Uganda: Perspective from a Low-Resource Setting.

INTRODUCTION: The impact of COVID-19 on low-resource surgical systems is concerning but there are limited studies examining the effect in low- and middle-income countries. This study assesses changes in surgical capacity during the COVID-19 pandemic at Soroti Regional Referral Hospital, a tertiary healthcare facility in Soroti, Uganda. METHODS: Patients from a prospective general surgery registry at SRRH were divided into cohorts admitted prior to the pandemic (January 2017 to February 2020) and during the pandemic (March 2020 to May 2021). Demographics, pre-hospital characteristics, in-hospital characteristics, provider-reported delays in care, and adverse events were compared between cohorts. RESULTS: Of the 1547 general surgery patients, 1159 were admitted prior to the pandemic and 388 were admitted during the pandemic. There was no difference in the median number of elective (24.5 vs. 20.0, p value = 0.16) or emergent (6.0 vs. 6.0, p value = 0.36) surgeries per month. Patients were more likely to have a delay in surgical care during the pandemic (22.6% vs. 46.6%, p < 0.01), particularly from lack of operating space (16.9% vs. 46.3%, p < 0.01) and lack of a surgeon (1.6% vs. 4.4%, p < 0.01). Increased proportion of delays in care appear correlated with waves of COVID-19 cases at SRRH. There were no changes in rates of adverse events (5.7% vs. 7.7%, p = 0.18). DISCUSSION: The COVID-19 pandemic caused significant increases in surgical care delays and emergency surgery at SRRH. Strengthening surgical systems when not in crisis and including provisions for safe, timely surgical delivery during epidemic resource allocation is needed to strengthen the overall healthcare system.

Limb Injuries and Disability in the Southwest Region of Cameroon.

INTRODUCTION: Extremity injuries are a leading cause of morbidity in low- and middle-income countries (LMICs), often resulting in marked short-term and long-term disabilities. Most of the existing knowledge on these injuries originates from hospital-based studies; however, poor access to health care in LMICs limits these data because of inherent selection bias. This subanalysis of a larger population-level cross-sectional study in the Southwest Region of Cameroon aims to determine patterns of limb injury, treatment-seeking behaviors, and predictors of disability. METHODS: Households were surveyed in 2017 on injuries and subsequent disability sustained over the previous 12 months using a three-stage cluster sampling framework. Subgroups were compared using the chi square, Fisher exact, analysis of variance, Wald, and Wilcoxon rank-sum tests. Logarithmic models were used to identify predictors of disability. RESULTS: Of 8,065 subjects, 335 persons (4.2%) sustained 363 isolated limb injuries. Over half of the isolated limb injuries (55.7%) were open wounds while 9.6% were fractures. Isolated limb injuries most commonly occurred in younger men and resulted from falls (24.3%) and road traffic injuries (23.5%). High rates of disability were reported, with 39% reporting difficulty with activities of daily living. Compared with individuals with other types of limb injuries, those with fractures were six times more likely to seek a traditional healer first for care (40% versus 6.7%), 5.3 times (95% CI, 1.21 to 23.42) more likely to have any level of disability after adjustment for injury mechanism, and 2.3 times more likely to have difficulty paying for food or rent (54.8% versus 23.7%). DISCUSSION: Most traumatic injuries sustained in LMICs involve limb injuries and often result in high levels of disability that affect individuals during their most productive years. Improved access to care and injury control measures, such as road safety training and improvements to transportation and trauma response infrastructure, are needed to reduce these injuries.

How trauma patients die in low resource settings: Identifying early targets for trauma quality improvement.

BACKGROUND: Injury deaths in sub-Saharan Africa are among the world's highest, but hospital data rarely have sufficient granularity to direct quality improvement. We analyzed clinical care patterns among trauma patients who died in a prospective, multicenter sub-Saharan cohort to pinpoint trauma quality improvement intervention targets. METHODS: In-hospital trauma deaths in four Cameroonian hospitals between 2017 and 2019 were included. Trauma registry data on patient demographics, injury characteristics, and clinical care were analyzed to identify opportunities for systems improvements. RESULTS: Among 9,423 trauma patients, there were 236 deaths. Overall, 83% of patients who died in the emergency department were living on arrival (LOA). Among 183 LOA patients, 30% presented with normal vital signs, but 11% had no vital signs taken, often because of lack of equipment (43%). Of LOA patients presenting with a Glasgow Coma Scale score of <9 (56%), few received neurosurgery consults (15%), C-collar placement (9%), or intubation (1%). The most common reason for lack of c-collar placement was failure to recognize that it was indicated (66%). Tracheal deviation, unequal breath sounds, or paradoxical chest movement were present in 63% of LOA patients, but only two patients had chest tubes placed. Hypotension or active bleeding was present in 80% of LOA patients; while crystalloid bolus was given to 96% of these patients, few received transfusion (8%), tourniquet placement for extremity injury (6%), or an operation (4%). CONCLUSION: Primary survey interventions are underperformed in trauma nonsurvivors in Cameroon. Protocolizing early treatment for head injury, hemorrhagic shock, and chest wall trauma could reduce trauma mortality. LEVEL OF EVIDENCE: Prognostic and Epidemiologic; Level III.

What is counted counts: An innovative linkage of police, hospital, and spatial data for transportation injury prevention.

INTRODUCTION: Growing research indicates transportation injury surveillance using police collision reporting alone underrepresents injury to vulnerable groups, including pedestrians, cyclists, and people of color. This reflects differing reporting patterns and non-clinicians' challenge in accurately evaluating injury severity. To our knowledge, San Francisco is the first U.S. city to link and map hospital and police injury data. Analysis of linked data injury patterns informs interventions supporting traffic fatality and injury prevention goals. METHODS: Injury and fatality records 2013-2015 were collected from San Francisco Police, Emergency Medical Services (EMS), Medical Examiner, and Zuckerberg San Francisco General Hospital (ZSFG). Probabilistic linkage was conducted using LinkSolv9.0 on match variables collision/admission time, name, birthdate, sex, travel mode, and geographic collision location. RESULTS: From 2013-2015, this study identified 17,000+ transportation-related injuries on public roadways in San Francisco. Twenty-six percent (n = 4,415) appeared in both police and ZSFG sources. Linked injury records represent 39% of police records (N = 11,403) and 43% of hospital records (N = 10,223). Among hospital records, 34% of cyclist, 38% of motor vehicle occupant, 61% of pedestrian, and 54% of motorcyclist records linked with a police record. Linkage rate varied by travel mode even after controlling for injury severity. Transportation-injured ZSFG-treated patients lacking police reports were more often cyclists, male, Hispanic or Black, and less often occupants of motor vehicles compared to those with injuries captured only in police reports. CONCLUSIONS: Incorporating hospital and EMS spatial data into injury surveillance systems historically reliant on police reports offers trifold benefits. First, linkage captures injuries absent in police data, adding data on populations empirically vulnerable to injury. Second, it improves injury severity assessment. Finally, linked data better informs and targets interventions serving injury-burdened populations and road users, advancing transportation injury prevention. PRACTICAL APPLICATIONS: Linkage closes data gaps, improving ability to quantify injury and develop evidence-based interventions for vulnerable groups.

Language of violence: Do words matter more than we think?

Firearm violence is a leading cause of morbidity and mortality among young adults. Identification of intervention targets is crucial to developing and implementing effective prevention efforts. Hospital Violence Intervention Programs (HVIPs) have used a multiprong social care approach to mediate the cycle of interpersonal violence. One struggle continually encountered is how to change the conversation around the future. Speech patterns have been associated with health outcomes and overall behavior modification. During violence prevention efforts, young victims of violence say things such as 'I'm living on borrowed time' and 'why should I worry about getting an education when I'll likely die soon anyway?' Such speech patterns may contribute to the cycle of violence and increase the likelihood of reinjury. Presented is a narrative review of the impact language has on health outcomes and how psychotherapy may be able to change thought patterns, alter language structure, and ultimately reduce risk of reinjury. The biopsychosocial model of health posits that a person's health is dictated by a combination of biological, psychological, and social factors. By understanding that language exists in the personal context, it can serve as both an indicator and a tool for targeted interventions. Cognitive-behavioral therapy (CBT) works by retraining thought and speech patterns to affect change in emotion, physiology, and behavior. It is proposed here that CBT could be used in the HVIPs' multidisciplinary case management model by involving trained psychotherapists. Language is an important indicator of a patient's psychological state and approach to life-changing decisions. As such, language alteration through CBT could potentially be used as a novel method of injury prevention. This concept has not before been explored in this setting and may be an effective supplement to HVIPs' success.

Too serious to ignore: The epidemiologic and economic burden of home injuries in the Southwest Region of Cameroon-A community-based study.

BACKGROUND: Home injuries are an important cause of morbidity and mortality in high-income countries. In Sub-Saharan Africa, including Cameroon, many people live in unplanned settlements with poorly constructed houses, predisposing them to home injuries. However, little is known about the epidemiology and care-seeking behaviors of the domestically injured. In this study, our objective was to determine the epidemiology and care-seeking behaviors of home injuries in the Southwest Region of Cameroon. METHODS: A sub-analyses of a larger descriptive cross-sectional community-based study on injury epidemiology in the preceding 12 months was conducted. Sampling was done using three-stage cluster sampling technique. Differences between groups were evaluated using Chi-squared and Adjusted Wald tests. RESULTS: Of 8065 participants, 157 suffered home injuries giving an incidence of 19.6 (16.8-23.0 95% CI) cases per 1000-person years. Home injuries comprised 31.2% of all 503 injuries and affected more females (60.8%) and younger individuals (mean age (SE) 25.1 years (2.0)) than non-home injuries. The most common activity and mechanism of home injury was leisure/play (51%) and falls (37.9%) respectively. Amongst those with home injuries, 37.6% did not seek care from any care provider (versus 25.0% of non-home injuries, p = 0.004) and were more likely to seek treatment within the family or at home (p = 0.008) or at church (p = 0.010). Those with home injuries experienced a median of 14 disability days and 22.9% of families faced difficulties affording basic expenses (p = 0.001). CONCLUSION: Home injuries comprise about a third of the Southwest Region of Cameroon's burden of injury and likely have a profound socioeconomic impact. Though these injuries cause severe disabilities, a large proportion of victims do not seek care from providers. Prevention efforts should address the design of homes and victims of home injury should be encouraged to utilize formal care services.

Chronic Disease Comorbidities Among Injured Patients in Cameroon: A Retrospective Cohort Study.

INTRODUCTION: Chronic diseases are increasing but underdiagnosed in low-income and middle-income countries (LMICs), where injury mortality is already disproportionately high. We estimated prevalence of known chronic disease comorbidities and their association with outcomes among injured patients in Cameroon. MATERIALS AND METHODS: Injured patients aged ≥15 y presenting to four Cameroonian hospitals between October 2017 and January 2020 were included. Our explanatory variable was known chronic disease; prevalence was age-standardized. Outcomes were overall in-hospital mortality and admission or transfer from the emergency department (ED). Associations between known chronic disease and outcomes were evaluated using logistic regression adjusted for age, gender, estimated injury severity score (eISS), hospital, and household socioeconomic status. Unadjusted eISS-stratified and age-stratified outcomes were also compared via chi-squared tests. RESULTS: Of 7509 injured patients, 370 (4.9%) reported at least one known chronic disease; age-standardized prevalence was 8.4% (95% confidence interval [CI] 7.5%-9.2%). Patients with known chronic disease had higher mortality (4.6% versus 1.5%, adjusted odds ratio [aOR]: 2.61 [95% CI: 1.25-5.47], P = 0.011) and were more likely to be admitted or transferred from the ED (38.7% versus 19.8%, aOR: 1.40 [95% CI: 1.02-1.92], P = 0.038) compared to those without known comorbidities. Crude differences in mortality (11.3% versus 3.3%, P = 0.002) and hospital admission or transfer (63.8% versus 46.6%, P = 0.011) were most notable for patients with eISS 16-24. CONCLUSIONS: Despite underdiagnosis among Cameroonians, we demonstrated worse injury outcomes among those with known chronic diseases. Integrating chronic disease screening with injury care may help address underdiagnosis in Cameroon. Future work should assess whether chronic disease prevention in LMICs could improve injury outcomes.

Developing a National Trauma Research Action Plan: Results from the long-term outcomes research gap Delphi survey.

BACKGROUND: In the National Academies of Sciences, Engineering, and Medicine 2016 report on trauma care, the establishment of a National Trauma Research Action Plan to strengthen and guide future trauma research was recommended. To address this recommendation, the Department of Defense funded the Coalition for National Trauma Research to generate a comprehensive research agenda spanning the continuum of trauma and burn care. We describe the gap analysis and high-priority research questions generated from the National Trauma Research Action Plan panel on long-term outcomes. METHODS: Experts in long-term outcomes were recruited to identify current gaps in long-term trauma outcomes research, generate research questions, and establish the priority for these questions using a consensus-driven, Delphi survey approach from February 2021 to August 2021. Panelists were identified using established Delphi recruitment guidelines to ensure heterogeneity and generalizability including both military and civilian representation. Panelists were encouraged to use a PICO format to generate research questions: Patient/Population, Intervention, Compare/Control, and Outcome model. On subsequent surveys, panelists were asked to prioritize each research question on a 9-point Likert scale, categorized to represent low-, medium-, and high-priority items. Consensus was defined as ≥60% of panelists agreeing on the priority category. RESULTS: Thirty-two subject matter experts generated 482 questions in 17 long-term outcome topic areas. By Round 3 of the Delphi, 359 questions (75%) reached consensus, of which 107 (30%) were determined to be high priority, 252 (70%) medium priority, and 0 (0%) low priority. Substance abuse and pain was the topic area with the highest number of questions. Health services (not including mental health or rehabilitation) (64%), mental health (46%), and geriatric population (43%) were the topic areas with the highest proportion of high-priority questions. CONCLUSION: This Delphi gap analysis of long-term trauma outcomes research identified 107 high-priority research questions that will help guide investigators in future long-term outcomes research. LEVEL OF EVIDENCE: Diagnostic Tests or Criteria; Level IV.

The Third Delay in General Surgical Care in a Regional Referral Hospital in Soroti, Uganda.

BACKGROUND: Building capacity for surgical care in low-and-middle-income countries is essential for the improvement of global health and economic growth. This study assesses in-hospital delays of surgical services at Soroti Regional Referral Hospital (SRRH), a tertiary healthcare facility in Soroti, Uganda. METHODS: A prospective general surgical database at SRRH was analyzed. Data on patient demographics, surgical characteristics, delays of care, and adverse clinical outcomes of patients seen between January 2017 and February 2020 were extracted and analyzed. Patient characteristics and surgical outcomes, for those who experienced delays in care, were compared to those who did not. RESULTS: Of the 1160 general surgery patients, 263 (22.3%) experienced at least one delay of care. Deficits in infrastructure, particularly lacking operating theater space, were the greatest contributor to delays (n = 192, 73.0%), followed by shortage of equipment (n = 52, 19.8%) and personnel (n = 37, 14.1%). Male sex was associated with less delays of care (OR 0.63) while undergoing emergency surgeries (OR 1.65) and abdominal surgeries (OR 1.44) were associated with more frequent delays. Delays were associated with more adverse events (10.3% vs. 5.0%), including death (4.2% vs. 1.6%). Emergency surgery, unclean wounds, and comorbidities were independent risk factors of adverse events. DISCUSSION: Patients at SRRH face significant delays in surgical care from deficits in infrastructure and lack of capacity for emergency surgery. Delays are associated with increased mortality and other adverse events. Investing in solutions to prevent delays is essential to improving surgical care at SRRH.

Associations between social determinants of health and interpersonal violence-related injury in Cameroon: a cross-sectional study.

INTRODUCTION: Risk factors for interpersonal violence-related injury (IPVRI) in low-income and middle-income countries (LMICs) remain poorly defined. We describe associations between IPVRI and select social determinants of health (SDH) in Cameroon. METHODS: We conducted a cross-sectional analysis of prospective trauma registry data collected from injured patients >15 years old between October 2017 and January 2020 at four Cameroonian hospitals. Our primary outcome was IPVRI, compared with unintentional injury. Explanatory SDH variables included education level, employment status, household socioeconomic status (SES) and alcohol use. The EconomicClusters model grouped patients into household SES clusters: rural, urban poor, urban middle-class (MC) homeowners, urban MC tenants and urban wealthy. Results were stratified by sex. Categorical variables were compared via Pearson's χ2 statistic. Associations with IPVRI were estimated using adjusted odds ratios (aOR) with 95% confidence intervals (95%CI). RESULTS: Among 7605 patients, 5488 (72.2%) were men. Unemployment was associated with increased odds of IPVRI for men (aOR 2.44 (95% CI 1.95 to 3.06), p<0.001) and women (aOR 2.53 (95% CI 1.35 to 4.72), p=0.004), as was alcohol use (men: aOR 2.33 (95% CI 1.91 to 2.83), p<0.001; women: aOR 3.71 (95% CI 2.41 to 5.72), p<0.001). Male patients from rural (aOR 1.45 (95% CI 1.04 to 2.03), p=0.028) or urban poor (aOR 2.08 (95% CI 1.27 to 3.41), p=0.004) compared with urban wealthy households had increased odds of IPVRI, as did female patients with primary-level/no formal (aOR 1.78 (95% CI 1.10 to 2.87), p=0.019) or secondary-level (aOR 1.54 (95% CI 1.03 to 2.32), p=0.037) compared with tertiary-level education. CONCLUSION: Lower educational attainment, unemployment, lower household SES and alcohol use are risk factors for IPVRI in Cameroon. Future research should explore LMIC-appropriate interventions to address SDH risk factors for IPVRI.

Understanding the makeup of a growing field: A committee on trauma survey of the national network of hospital-based violence intervention programs.

BACKGROUND: Among Hospital Based Violence Intervention programs (HVIPs), little is known about variation in services provided, funding sources, or populations served. STUDY DESIGN: Twenty-eight member programs of Health Alliance for Violence Intervention participated in a survey administered by the American College of Surgeons Committee on Trauma. Questions were quantitative and qualitative. For qualitative analysis, questions pertaining to the domains were assessed for common themes and assessed across all subject domains. RESULTS: All programs enroll patients injured by community violence, some by intimate partner violence (IPV), trafficking, and rarely by child or elder abuse. Programs with more funding (≥$300,000 per year) were more likely federally, state, or city funded. Lower funded programs (≤$300,000 per year) were funded by foundations or philanthropy. In both qualitative and quantitative analysis, barriers to starting or sustaining HVIPs included funding, and lack of risk reduction and mental health resources. Successful programs had stable funding, adequate staffing, and buy in from hospitals and staff. CONCLUSION: HVIPs serve diverse populations in variable models. There is opportunity to expand the reach of HVIPs, and the experience if existing programs is an invaluable resource.

The Structural Violence Trap: Disparities in Homicide, Chronic Disease Death, and Social Factors Across San Francisco Neighborhoods.

BACKGROUND: On average, a person living in San Francisco can expect to live 83 years. This number conceals significant variation by sex, race, and place of residence. We examined deaths and area-based social factors by San Francisco neighborhood, hypothesizing that socially disadvantaged neighborhoods shoulder a disproportionate mortality burden across generations, especially deaths attributable to violence and chronic disease. These data will inform targeted interventions and guide further research into effective solutions for San Francisco's marginalized communities. STUDY DESIGN: The San Francisco Department of Public Health provided data for the 2010-2014 top 20 causes of premature death by San Francisco neighborhood. Population-level demographic data were obtained from the US American Community Survey 2015 5-year estimate (2011-2015). The primary outcome was the association between years of life loss (YLL) and adjusted years of life lost (AYLL) for the top 20 causes of death in San Francisco and select social factors by neighborhood via linear regression analysis and heatmaps. RESULTS: The top 20 causes accounted for N = 15,687 San Francisco resident deaths from 2010-2014. Eight neighborhoods (21.0%) accounted for 47.9% of city-wide YLLs, with 6 falling below the city-wide median household income and many having a higher percent population Black, and lower education and higher unemployment levels. For chronic diseases and homicides, AYLLs increased as a neighborhood's percent Black, below poverty level, unemployment, and below high school education increased. CONCLUSIONS: Our study highlights the mortality inequity burdening socially disadvantaged San Francisco neighborhoods, which align with areas subjected to historical discriminatory policies like redlining. These data emphasize the need to address past injustices and move toward equal access to wealth and health for all San Franciscans.