ANOTHER "LETHAL TRIAD"-RISK FACTORS FOR VIOLENT INJURY AND LONG-TERM MORTALITY AMONG ADULT VICTIMS OF VIOLENT INJURY.

BACKGROUND: Mental illness, substance abuse, and poverty are risk factors for violent injury, and violent injury is a risk factor for early mortality that can be attenuated through hospital-based violence intervention programs. Most of these programs focus on victims under the age of 30 years. Little is known about risk factors or long-term mortality among older victims of violent injury. OBJECTIVES: To explore the prevalence of risk factors for violent injury among younger (age < 30 years) and older (age 30 ≥ years) victims of violent injury, to determine the long-term mortality rates in these age groups, and to explore the association between risk factors for violent injury and long-term mortality. METHODS: Adults with violent injuries were enrolled between 2001 and 2004. Demographic and injury data were recorded on enrollment. Ten-year mortality rates were measured. Descriptive analysis and logistic regression were used to compare older and younger subjects. RESULTS: Among 541 subjects, 70% were over age 30. The overall 10-year mortality rate was 15%, and was much higher than in the age-matched general population in both age groups. Risk factors for violent injury including mental illness, substance abuse, and poverty were prevalent, especially among older subjects, and were each independently associated with increased risk of long-term mortality. CONCLUSION: Mental illness, substance abuse, and poverty constitute a "lethal triad" that is associated with an increased risk of long-term mortality among victims of violent injury, including both younger adults and those over age 30 years. Both groups may benefit from targeted risk-reduction efforts. Emergency department visits offer an invaluable opportunity to engage these vulnerable patients.

Is the Kampala trauma score an effective predictor of mortality in low-resource settings? A comparison of multiple trauma severity scores.

BACKGROUND: In the developed world, multiple injury severity scores have been used for trauma patient evaluation and study. However, few studies have supported the effectiveness of different trauma scoring methods in the developing world. The Kampala Trauma Score (KTS) was developed for use in resource-limited settings and has been shown to be a robust predictor of death. This study evaluates the ability of KTS to predict the mortality of trauma patients compared to other trauma scoring systems. METHODS: Data were collected on injured patients presenting to Central Hospital of Yaoundé, Cameroon from April 15 to October 15, 2009. The KTS, Injury Severity Score, Revised Trauma Score, Glasgow Coma Scale, and Trauma Injury Severity Score were calculated for each patient. Scores were evaluated as predictors of mortality using logistic regression models. Areas under receiver operating characteristic (ROC) curves were compared. RESULTS: Altogether, 2855 patients were evaluated with a mortality rate of 6 per 1000. Each score analyzed was a statistically significant predictor of mortality. The area under the ROC for KTS as a predictor of mortality was 0.7748 (95% CI 0.6285-0.9212). There were no statistically significant pairwise differences between ROC areas of KTS and other scores. Similar results were found when the analysis was limited to severe injuries. CONCLUSIONS: This comparison of KTS to other trauma scores supports the adoption of KTS for injury surveillance and triage in resource-limited settings. We show that the KTS is as effective as other scoring systems for predicting patient mortality.

Analysis of prospective trauma registry data in Francophone Africa: a pilot study from Cameroon.

INTRODUCTION: Injury rates in sub-Saharan Africa are among the highest in the world, but prospective, registry-based reports from Cameroon are limited. We aimed to create a prospective trauma registry to expand the data elements collected on injury at a busy tertiary center in Yaoundé Cameroon. METHODS: Details of the injury context, presentation, care, cost, and disposition from the emergency department (ED) were gathered over a 6-month period, by trained research assistants using a structured questionnaire. Bivariate and multivariate models were built to explore variable relationships and outcomes. RESULTS: There were 2,855 injured patients in 6 months, comprising almost half of all ED visits. Mean age was 30 years; 73 % were male. Injury mechanism was road traffic injury in 59 %, fall in 7 %, penetrating trauma in 6 %, and animal bites in 4 %. Of these, 1,974 (69 %) were discharged home, 517 (18 %) taken to the operating room, and 14 (1 %) to the intensive care unit. The body areas most severely injured were pelvis and extremity in 43 %, head in 30 %, chest in 4 %, and abdomen in 3 %. The estimated injury severity score (eISS) was <9 in 60 %, 9-24 in 35 %, and >25 in 2 %. Mortality was 0.7 %. In the multivariate analysis, independent predictors of mortality were eISS ≥9 and Glasgow Coma Score ≤12. Road traffic injury was an independent predictor for the need to have surgery. Trauma registry results were presented to the Ministry of Health in Cameroon, prompting the formation of a National Injury Committee. CONCLUSIONS: Injuries comprise a significant proportion of ED visits and utilization of surgical services in Yaoundé. A prospective approach allows for more extensive information. Thorough data from a prospective trauma registry can be used successfully to advocate for policy towards prevention and treatment of injuries.

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.

Turning value into action: Healthcare workers using digital media advocacy to drive change.

BACKGROUND: The standard method of sharing information in academia is the scientific journal. Yet health advocacy requires alternative methods to reach key stakeholders to drive change. The purpose of this study was to analyze the impact of social media and public narrative for advocacy in matters of firearm-related injury and death. STUDY DESIGN: The movement This Is Our Lane was evaluated through the #ThisIsOurLane and #ThisIsMyLane hashtags. Sources were assessed from November 2018 through March 2019. Analyses specifically examined message volume, time course, global engagement, and content across Twitter, scientific literature, and mass media. Twitter data were analyzed via Symplur Signals. Scientific literature reviews were performed using PubMed, EMBASE, Web of Science, and Google Scholar. Mass media was compiled using Access World News/Newsbank, Newspaper Source, and Google. RESULTS: A total of 507,813 tweets were shared using #ThisIsOurLane, #ThisIsMyLane, or both (co-occurrence 21-39%). Fifteen scientific items and n = 358 mass media publications were published during the study period; the latter included articles, blogs, television interviews, petitions, press releases, and audio interviews/podcasts. Peak messaging appeared first on Twitter on November 10th, followed by mass media on November 12th and 20th, and scientific publications during December. CONCLUSIONS: Social media enables clinicians to quickly disseminate information about a complex public health issue like firearms to the mainstream media, scientific community, and general public alike. Humanized data resonates with people and has the ability to transcend the barriers of language, culture, and geography. Showing society the reality of caring for firearm-related injuries through healthcare worker stories via digital media appears to be effective in shaping the public agenda and influencing real-world events.

Patterns of injury at an Ethiopian referral hospital: Using an institutional trauma registry to inform injury prevention and systems strengthening.

BACKGROUND: Data about injury patterns and clinical outcomes are essential to address the burden of injury in low- and middle-income countries. Institutional trauma registries (ITRs) are a key tool for collecting epidemiologic data about injury. This study uses ITR data to describe the demographics and patterns of injury of trauma patients in Addis Ababa, Ethiopia in order to identify opportunities for injury prevention, systems strengthening and further research. METHODS: This is an analysis of prospectively collected data from a sustainable ITR at Menelik II Specialized Hospital, a public teaching hospital with trauma expertise. All patients presenting to the hospital with serious injuries requiring intervention or admission over a 13 month period were included. Univariable and bivariable analyses were performed for patient demographics and injury characteristics. RESULTS: A total of 854 patients with serious injuries were treated during the study period. Median age was 33 years and 74% were male. The most common mechanisms of injury were road traffic injuries (RTI) (37%), falls (30%) and blunt assault (17%). Over half of RTI victims were pedestrians. Median delay in presentation was 2 h; 17% of patients presented over 6 h after injury. 58% of patients were referred from another hospital or a clinic, and referrals accounted for 84% of patients arriving by ambulance. Median emergency center length of stay was 2 h and 62% of patients were discharged from the emergency center. CONCLUSION: This study highlights the utility of institutional trauma registries in collecting crucial injury surveillance data. In Addis Ababa, road safety is an important target for injury prevention. Our findings suggest that the most severely injured patients may not be making it to the referral centers with the capacity to treat their injuries, thus efforts to improve prehospital care and triage are needed. AFRICAN RELEVANCE: Injury is a public health priority in Africa. Institutional trauma registries play a crucial role in efforts to improve trauma care by describing injury epidemiology to identify targets for injury prevention and systems strengthening efforts. In our context, pedestrian safety is a key target for injury prevention. Improving prehospital care and developing referral networks are goals for systems strengthening.

The search for a simple injury score to reliably discriminate the risk of in-hospital mortality in South Africa.

BACKGROUND: The Injury Severity Score and Trauma and Injury Severity Score are used commonly to quantify the severity of injury, but they require comprehensive data collection that is impractical in many low- and middle-income countries . We sought to develop an injury score that is more feasible to implement in low- and middle-income countries with discrimination similar to the Injury Severity Score and the Trauma and Injury Severity Score. METHODS: Clinical data from KwaZulu-Natal, South Africa were used to compare the discrimination of the Injury Severity Score and the Trauma and Injury Severity Score with that of the 5, simple injury scores that rely primarily on physiologic data: Revised Trauma Score for Triage, "Mechanism, Glasgow Coma Scale, Age, Pressure" Score, Kampala Trauma Score, modified Kampala Trauma Score, and "Reversed Shock Index Multiplied by Glasgow Coma Scale" Score. RESULTS: Data for 3,991 patients were analyzed. The Trauma and Injury Severity Score, the Injury Severity Score, and Kampala Trauma Score had similar discrimination (area under the receiver operating curve 0.85, 0.84, and 0.84, respectively). The simple injury scores demonstrated worse discrimination among patients presenting more than 6 hours postinjury, although Kampala Trauma Score maintained the best discrimination of the simple injury scores. CONCLUSION: In this patient population, Kampala Trauma Score demonstrated discrimination similar to the Injury Severity Score and the Trauma and Injury Severity Score and may be useful to quantify the severity of injury when calculation of the Injury Severity Score or the Trauma and Injury Severity Score is not feasible. Delay in presentation can degrade the discrimination of simple injury scores that rely primarily on physiologic data.

Feasibility of telephone-administered interviews to evaluate long-term outcomes of trauma patients in urban Ethiopia.

BACKGROUND: Little is known about long-term functional outcomes of trauma patients in low-income and middle-income countries. In sub-Saharan Africa most studies of injury only collect data through emergency department disposition or hospital discharge, and methods of collecting long-term data are subject to significant bias. With the recent increase in access to mobile telephone technology, we hypothesized that structured, telephone-administered interviews now offer a feasible means to collect data about the long-term functional outcomes of trauma patients in urban Ethiopia. METHODS: We piloted a telephone-administered interview tool based on the Glasgow Outcome Scale-Extended. Using departmental logbooks, 400 consecutive patients presenting to two public referral hospitals were identified retrospectively. Demographics, injury data, and telephone numbers were collected from medical records. When a telephone number was available, patients or their surrogates were contacted and interviewed 6 months after their injuries. RESULTS: We were able to contact 47% of subjects or their surrogates, and 97% of those contacted were able and willing to complete an interview. At 6-month follow-up, 22% of subjects had significant persistent functional disability. Many injuries had an ongoing financial impact, with 17% of subjects losing or changing jobs, 18% earning less than they had before their injuries, and 16% requiring ongoing injury-related medical care. Lack of documented telephone numbers and difficulty contacting subjects at recorded telephone numbers were the major obstacles to data collection. Language barriers and respondents' refusal to participate in the study were not significant limitations. DISCUSSION: In urban Ethiopia, many trauma patients have persistent disability 6 months after their injuries. Telephone-administered interviews offer a promising method of collecting data about the long-term trauma outcomes, including functional status and the financial impact of injury. These data are invaluable for capacity building, quality improvement efforts, and advocacy for injury prevention and trauma care. LEVEL OF EVIDENCE: III, retrospective cohort study.

Socioeconomic correlates of trauma: An analysis of emergency ward patients in Yaoundé, Cameroon.

INTRODUCTION: Injury is a significant and increasingly common cause of morbidity and mortality in sub-Saharan Africa; however, the social and economic factors underlying these trends are not well understood. We evaluated the relationship between socioeconomic status (SES) and trauma outcomes using a prospective registry of patients presenting to the largest trauma hospital in Yaoundé, Cameroon. METHODS: Trauma patients (n=2855) presenting to the emergency ward at Central Hospital, Yaoundé between April 15 and October 15, 2009 were surveyed regarding demographic and socioeconomic background, nature and severity of injuries, treatment, and disposition. A wealth score was estimated for each patient, corresponding to an SES index constructed using principle components analysis of the urban Cameroonian Demographic and Health Survey. Logistic regression was used to evaluate the effects of SES on care-seeking behaviour, injury severity, and treatment outcome. MAIN OUTCOME MEASURES: SES wealth score, care-seeking prior to visiting hospital, injury severity, treatment outcome. RESULTS: Patients aged 1-89 presented with road traffic injuries (59.83%), falls (7.76%), and penetrating trauma (6.16%), and had higher SES than the broader urban Cameroonian population. Within the Yaoundé sample, being in the lowest SES quintile was associated with an increased likelihood of having sought care elsewhere before presenting to the hospital (aOR=3.28, p<0.001), after controlling for background and injury characteristics. Patients in the lowest SES quintile were also more likely to present with moderate/severe injuries (aOR=4.93, p<0.001), and were more likely to be transferred to the operating room. CONCLUSIONS: Patients presenting to this trauma centre were wealthier than the broader community, suggesting the possibility of barriers to accessing care. Poorer patients were more likely to have severe injuries and more likely to need surgery, but were less likely to seek care from a major trauma centre immediately. Substantial differences in SES between the sample visiting the hospital and the broader community suggest a need for community-based sampling approaches in future trauma research.

Choice of injury scoring system in low- and middle-income countries: Lessons from Mumbai.

INTRODUCTION: Injury is a major cause of morbidity and mortality in low- and middle-income countries. Effective trauma surveillance is imperative to guide research and quality improvement interventions, so an accurate metric for quantifying injury severity is crucial. The objectives of this study are (1) to assess the feasibility of calculating five injury scoring systems--ISS (injury severity score), RTS (revised trauma score), KTS (Kampala trauma score), MGAP (mechanism, GCS (Glasgow coma score), age, pressure) and GAP (GCS, age, pressure)--with data from a trauma registry in a lower middle-income country and (2) to determine which of these scoring systems most accurately predicts in-hospital mortality in this setting. PATIENTS AND METHODS: This is a retrospective analysis of data from an institutional trauma registry in Mumbai, India. Values for each score were calculated when sufficient data were available. Logistic regression was used to compare the correlation between each score and in-hospital mortality. RESULTS: There were sufficient data recorded to calculate ISS in 73% of patients, RTS in 35%, KTS in 35%, MGAP in 88% and GAP in 92%. ISS was the weakest predictor of in-hospital mortality, while RTS, KTS, MGAP and GAP scores all correlated well with in-hospital mortality (area under ROC (receiver operating characteristic) curve 0.69 for ISS, 0.85 for RTS, 0.86 for KTS, 0.84 for MGAP, 0.85 for GAP). Respiratory rate measurements, missing in 63% of patients, were a major barrier to calculating RTS and KTS. CONCLUSIONS: Given the realities of medical practice in low- and middle-income countries, it is reasonable to modify the approach to characterising injury severity to favour simplified injury scoring systems that accurately predict in-hospital mortality despite limitations in trauma registry datasets.

Establishing the evidence base for trauma quality improvement: a collaborative WHO-IATSIC review.

BACKGROUND: Quality improvement (QI) programs are an integral part of well-developed trauma systems. However, they have not been extensively implemented globally. To promote greater use of effective QI programs, the World Health Organization (WHO) and the International Association for Trauma Surgery and Intensive Care (IATSIC) have been collaboratively developing the upcoming Guidelines for Trauma Quality Improvement Programmes. As part of the development of this publication and to satisfy global demands for WHO guidelines to be evidence based, we conducted a thorough literature search on the effectiveness of trauma QI programs. METHODS: The review was based on a PubMed search of all articles reporting an outcome from a trauma QI program. RESULTS: Thirty-six articles were identified that reported results of evaluations of a trauma QI program or in which the trauma QI program was integrally related to identification and correction of specific problems. Thirteen of these articles reported on mortality as their main outcome; 12 reported on changes in morbidity (infection rates, complications), patient satisfaction, costs, or other outcomes of tangible patient benefit; and 11 reported on changes in process of care. Thirty articles addressed hospital-based care; four system-wide care; and two prehospital care. Thirty-four articles reported an improvement in the outcome assessed; two reported no change; and none reported worsening of the outcome. Five articles also reported cost savings. CONCLUSIONS: Trauma QI programs are consistently shown to improve the process of care, decrease mortality, and decrease costs. Further efforts to promote trauma QI globally are warranted. These findings support the further development and promulgation of the WHO-IATSIC Guidelines for Trauma QI Programmes.