Emergency Department Trauma Activation Fees by Payer Type.

This cross-sectional study examines the wide variations in prices of emergency medical services at US hospitals.

Is state trauma funding associated with mortality among injured hospitalized patients?

BACKGROUND: We sought to quantify the association between state trauma funding and (1) in-hospital mortality and (2) transfers of injured patients. METHODS: We conducted an observational cross-sectional study of states with publicly available trauma funding data. We analyzed in-hospital mortality using linked data from the Nationwide Inpatient Sample (NIS), American Hospital Association (AHA) Annual Survey, and these State Department of Public Health trauma funding data. RESULTS: A total of 594,797 injured adult patients were admitted to acute care hospitals in 17 states. Patients in states with >$1.00 per capita state trauma funding had 0.82 (95 â€‹% CI: 0.78-0.85, p â€‹< â€‹0.001) decreased adjusted odds of in-hospital mortality compared to patients in states with less than $1.00 per capita state trauma funding. CONCLUSIONS: Increased state trauma funding is associated with decreased adjusted in-hospital mortality.

Geographic Disparities in Re-triage Destinations Among Seriously Injured Californians.

Objective: To quantify geographic disparities in sub-optimal re-triage of seriously injured patients in California. Summary of Background Data: Re-triage is the emergent transfer of seriously injured patients from the emergency departments of non-trauma and low-level trauma centers to, ideally, high-level trauma centers. Some patients are re-triaged to a second non-trauma or low-level trauma center (sub-optimal) instead of a high-level trauma center (optimal). Methods: This was a retrospective observational cohort study of seriously injured patients, defined by an Injury Severity Score > 15, re-triaged in California (2009-2018). Re-triages within one day of presentation to the sending center were considered. The sub-optimal re-triage rate was quantified at the state, regional trauma coordinating committees (RTCC), local emergency medical service agencies, and sending center level. A generalized linear mixed-effects regression quantified the association of sub-optimality with the RTCC of the sending center. Geospatial analyses demonstrated geographic variations in sub-optimal re-triage rates and calculated alternative re-triage destinations. Results: There were 8,882 re-triages of seriously injured patients and 2,680 (30.2 %) were sub-optimal. Sub-optimally re-triaged patients had 1.5 higher odds of transfer to a third short-term acute care hospital and 1.25 increased odds of re-admission within 60 days from discharge. The sub-optimal re-triage rates increased from 29.3 % in 2009 to 38.6 % in 2018. 56.0 % of non-trauma and low-level trauma centers had at least one sub-optimal re-triage. The Southwest RTCC accounted for the largest proportion (39.8 %) of all sub-optimal re-triages in California. Conclusion: High population density geographic areas experienced higher sub-optimal re-triage rates.

Cancer-related Emergency Department Visits: Comparing Characteristics and Outcomes.

INTRODUCTION: There is increasing appreciation of the challenges of providing safe and appropriate care to cancer patients in the emergency department (ED). Our goal here was to assess which patient characteristics are associated with more frequent ED revisits. METHODS: This was a retrospective cohort study of all ED visits in California during the 2016 calendar year using data from the California Office of Statewide Health Planning and Development. We defined revisits as a return visit to an ED within seven days of the index visit. For both index and return visits, we assessed various patient characteristics, including age, cancer type, medical comorbidities, and ED disposition. RESULTS: Among 12.9 million ED visits, we identified 73,465 adult cancer patients comprising 103,523 visits that met our inclusion criteria. Cancer patients had a 7-day revisit rate of 17.9% vs 13.2% for non-cancer patients. Cancer patients had a higher rate of admission upon 7-day revisit (36.7% vs 15.6%). Patients with cancers of the small intestine, stomach, and pancreas had the highest rate of 7-day revisits (22-24%). Cancer patients younger than 65 had a higher 7-day revisit rate than the elderly (20.0% vs 16.2%). CONCLUSION: In a review of all cancer-related ED visits in the state of California, we found a variety of characteristics associated with a higher rate of 7-day ED revisits. Our goal in this study was to inform future research to identify interventions on the index visit that may improve patient outcomes.

Nationwide study on trends in unplanned hospital attendance and deaths during the 7 weeks after the onset of the COVID-19 pandemic in Denmark.

BACKGROUND: The impact of a pandemic on unplanned hospital attendance has not been extensively examined. The aim of this study is to report the nationwide consequences of the COVID-19 pandemic on unplanned hospital attendances in Denmark for 7 weeks after a 'shelter at home' order was issued. METHODS: We merged data from national registries (Civil Registration System and Patient Registry) to conduct a study of unplanned (excluding outpatient visits and elective surgery) hospital-based healthcare and mortality of all Danes. Using data for 7 weeks after the 'shelter at home' order, the incidence rate of unplanned hospital attendances per week in 2020 was compared with corresponding weeks in 2017-2019. The main outcome was hospital attendances per week as incidence rate ratios. Secondary outcomes were general population mortality and risk of death in-hospital, reported as weekly mortality rate ratios (MRRs). RESULTS: From 2 438 286 attendances in the study period, overall unplanned attendances decreased by up to 21%; attendances excluding COVID-19 were reduced by 31%; non-psychiatric by 31% and psychiatric by 30%. Out of the five most common diagnoses expected to remain stable, only schizophrenia and myocardial infarction remained stable, while chronic obstructive pulmonary disease exacerbation, hip fracture and urinary tract infection fell significantly. The nationwide general population MRR rose in six of the recorded weeks, while MRR excluding patients who were COVID-19 positive only increased in two. CONCLUSION: The COVID-19 pandemic and a governmental national 'shelter at home' order was associated with a marked reduction in unplanned hospital attendances with an increase in MRR for the general population in two of 7 weeks, despite exclusion of patients with COVID-19. The findings should be taken into consideration when planning for public information campaigns.

Age-related incidence and outcomes of sepsis in California, 2008-2015.

PURPOSE: Sepsis remains amongst the most common causes of death worldwide. It has been described as a disease of the elderly, but contemporary data on risk factors and mortality is lacking. MATERIALS AND METHODS: Multi-center longitudinal cohort study using non-public, state of California data from January 1, 2008 to September 31, 2015. Patients with sepsis, severe sepsis, and septic shock were identified using ICD-9-CM diagnosis and procedure codes with age subgroups of 18-44, 45-64, 65-74, 75-84, and >85 years old. Descriptive statistics and a single direct logistic regression model were used to present data on incidence and mortality and to identify independent factors associated with mortality. RESULTS: Of 30,282,159 total inpatient encounters, 20,358,569 met inclusion criteria and 1,566,306 met sepsis criteria. Conditions associated with mortality included metastatic cancer, age, liver disease, residing in a care facility, and a gastrointestinal source of infection as well as fungal infection. Mortality in the >85-year-old subgroup with septic shock was 45.7%, lower than previously reported. CONCLUSION: Age remains an important sepsis risk factor, but other conditions correlated more closely with sepsis-associated death. Patients over 85 years of age suffering from septic shock may have a better chance of survival than previously thought.

Short-Term Outcomes and Factors Associated With Adverse Events Among Adults Discharged From the Emergency Department After Treatment for Acute Heart Failure.

BACKGROUND: Although 80% of patients with heart failure seen in the emergency department (ED) are admitted, less is known about short-term outcomes and demand for services among discharged patients. METHODS AND RESULTS: We examined adult members of a large integrated delivery system who visited an ED for acute heart failure and were discharged from January 1, 2013, through September 30, 2014. The primary outcome was a composite of repeat ED visit, hospital admission, or death within 7 days of discharge. We identified multivariable baseline patient-, provider-, and facility-level factors associated with adverse outcomes within 7 days of ED discharge using logistic regression. Among 7614 patients, mean age was 77.2 years, 51.9% were women, and 28.4% were people of color. Within 7 days of discharge, 75% had outpatient follow-up (clinic, telephone, or e-mail), 7.1% had an ED revisit, 4.7% were hospitalized, and 1.2% died. Patients who met the primary outcome were more likely to be older, smokers, have a history of hemorrhagic stroke, hypothyroidism, and dementia, and less likely to be treated in a facility with an observation unit. In multivariable analysis, higher comorbidity scores and history of smoking were associated with a higher odds of the primary outcome, whereas treatment in a facility with an observation unit and presence of outpatient follow-up within 7 days were associated with a lower odds. CONCLUSIONS: We identified selected hospital and patient characteristics associated with short-term adverse outcomes. Further understanding of these factors may optimize safe outpatient management in ED-treated patients with heart failure.

The American College of Surgeons Needs-Based Assessment of Trauma Systems: Estimates for the State of California.

BACKGROUND: In 2015, the American College of Surgeons Committee on Trauma convened a consensus conference to develop the Needs-Based Assessment of Trauma Systems (NBATS) tool to assist in determining the number of trauma centers required for a region. We tested the performance of NBATS with respect to the optimal number of trauma centers needed by region in California. METHODS: Trauma center data were obtained from the California Emergency Services Authority Information Systems (CEMSIS). Numbers of admitted trauma patients (ISS > 15) were obtained using statewide nonpublic admissions data from the California Office of Statewide Health Planning and Development (OSHPD), CEMSIS, and data from local emergency medical service agency (LEMSA) directors who agreed to participate in a telephone survey. Population estimates per county for 2014 were obtained from the U.S. Census. NBATS criteria used included population, transport time, community support, and number of discharges for severely injured patients (ISS > 15) at nontrauma centers and trauma centers. Estimates for the number of trauma centers per region were created for each of the three data sources and compared to the number of existing centers. RESULTS: A total of 62 state-designated trauma centers were identified for California: 13 (21%) Level I, 36 (58%) Level II, and 13 (11%) Level III. NBATS estimates for the total number of trauma centers in California were 27% to 47% lower compared to the number of trauma centers in existence, but this varied based on urban/rural status. NBATS estimates were lower than the current state in 70% of urban areas but were higher in almost 90% of rural areas. All data sources (OSHPD, CEMSIS, local data) produced similar results. CONCLUSION: Estimates from the NBATS tool are different from what is currently in existence in California, and differences exist based on whether the region is rural or urban. Findings from the current study can help inform future iterations of the NBATS tool. LEVEL OF EVIDENCE: Economic, level V.

Use of emergency department imaging in patients with minor trauma.

BACKGROUND: Advanced radiographic studies have detrimental risks, yet the prevalence of CT utilization in patients with minor trauma presenting to the emergency department (ED) has never been fully evaluated. Our objective was to evaluate the frequency of CT imaging in patients presenting to the ED for minor trauma. MATERIALS AND METHODS: A retrospective analysis of the California Office of Statewide Health Planning and Development Emergency Department and Ambulatory Surgery Data from 2005 to 2013 was performed. A total of 8,535,831 patients were identified using the following inclusion criteria: adult patients (age ≥18 y); with a traumatic ECODE diagnosis and injury severity score <9; and discharge to home. The primary study outcome measurement was the prevalence of CT imaging for each year in the study period. We performed univariate and multivariate analysis to evaluate clinical and hospital-level factors related to CT use in this population. We also performed a trend analysis using Poisson logistic regression to assess the trend of imaging scans over the study period. RESULTS: Of the study population, 5.9% received at least one CT study during their ED visit. The proportion of patients with at least one CT scan increased from 3.51% in 2005 to 7.17% in 2013 (P < 0.005). Adjusted predictors for CT included age 18-24 y or >45 y (P < 0.005), Medicare and self-pay patients (P < 0.005), fall injuries (P < 0.005), motor vehicle collision injuries (P < 0.005), and patients seen at level I/II trauma centers (P = 0.005). CONCLUSIONS: Even after clinical and demographic predictors were adjusted for, there was a 1.97-fold increase in CT among minor trauma patients from 2005-2013.

Trauma center care is associated with reduced readmissions after injury.

BACKGROUND: Trauma center care has been associated with improved mortality. It is not known if access to trauma center care is also associated with reduced readmissions. We hypothesized that receiving treatment at a trauma center would be associated with improved care and therefore would be associated with reduced readmission rates. METHODS: We conducted a retrospective analysis of all hospital visits in California using the Office of Statewide Health Planning and Development Database from 2007 to 2008. All hospital admissions and emergency department visits associated with injury were longitudinally linked. Regions were categorized by whether they had trauma centers. We excluded all patients younger than 18 years. We performed univariate and multivariate regression analyses to determine if readmissions were associated with patient characteristics, length of stay for initial hospitalization, trauma center access, and triage patterns. RESULTS: A total of 211,504 patients were included in the analysis. Of these, 5,094 (2%) died during the index hospitalization. Of those who survived their initial hospitalization, 79,123 (38%) experienced one or more readmissions to any hospital within 1 year. The majority of these were one-time readmissions (62%), but 38% experienced multiple readmissions. Over 67% of readmissions were unplanned and 8% of readmissions were for a trauma. After controlling for patient variables known to be associated with readmissions, primary triage to a trauma center was associated with a lower odds of readmission (odds ratio, 0.89; p < 0.001). The effect of transport to a trauma center remained significantly associated with decreased odds of readmission at 1 year (odds ratio, 0.96; p < 0.001). CONCLUSION: Readmissions after injury are common and are often unscheduled. While patient factors play a role in this, care at a trauma center is also associated with decreased odds for readmission, even when controlling for severity of injury. This suggests that the benefits of trauma center care extend beyond improvements in mortality to improved long-term outcomes. LEVEL OF EVIDENCE: Epidemiologic study, level III; therapeutic/care management study, level IV.

Prehospital and Emergency Care: Updates from the Disease Control Priorities, Version 3.

BACKGROUND: It is increasingly understood that emergency care systems can be cost-effective in low- and middle-income countries (LMICs). The development of such systems, however, is still a work in progress. This article updates previous work in providing the most recent estimates of the burden of disease sensitive to emergency care, the current state of knowledge on the feasibility of emergency care, effect on outcomes, and cost-effectiveness in LMICs, and future directions for research, policy, and implementation. METHODS: We calculated the potential impact of prehospital and emergency care systems using updated and revised data based on the global burden of disease study. We then assessed the state of current knowledge and potential future directions for research and policy by conducting a review of the literature on current systems in LMICs. RESULTS: According to these newest updates, 24 million deaths related to emergency medical conditions occur in LMICs annually, accounting for an estimated 932 million years of life lost. Evidence shows that multiple emergency care models can function in different local settings, depending on resources and urbanicity. Emergency care can significantly improve mortality rates from emergent conditions and be highly cost-effective. Further research is needed on implementation of emergency care systems as they become a necessary reality in developing nations worldwide. CONCLUSIONS: Emergency care implementation in LMICs presents both challenges and opportunities. Investment in evidence-based emergency care, research on implementation, and system coordination in LMICs could lead to a more cost- and outcome-effective emergency care system than exists in advanced economies.

A variation in the value of colectomy for cancer across hospitals: mortality, readmissions, and costs.

INTRODUCTION: Although hospital variation in costs and outcomes has been described for patients undergoing operation, the relationship between them is unknown. The purpose of this study was to evaluate this relationship among patients undergoing colon resection for cancer and identify characteristics of "high-quality, low-cost" hospitals. METHODS: We identified adult patients who underwent colon resection for cancer in California, Florida, and New York from 2009 to 2010. We estimated hospital-level, risk-standardized 30-day hospital costs, in-hospital mortality rates, and 30-day readmission rates by using hierarchical generalized linear models. Costs were compared between hospitals identified as low, average, and high performers. RESULTS: The final sample included 14,790 patients discharged from 389 hospitals. After adjusting for case mix, variation was noted in risk-standardized costs (median = $26,169, inter-quartile range [IQR] = $6,559), in-hospital mortality (median = 1.8%, IQR = 2.3%), and 30-day readmission (12.2%, IQR = 0.7%) rates. Minimal correlation was noted between a hospital's costs and outcomes, with similar costs noted across hospital performance groups (low = $25,994 vs average = $26,998 vs high = $25,794, P = .19). High-quality, low-cost hospitals treated a greater percentage of Medicare beneficiaries, approached fewer cases laparoscopically, and trended toward greater volume. CONCLUSION: Hospital costs are not correlated with outcomes in this population. More work is needed to identify means of providing high-quality care at lesser costs.

The association of trauma center closures with increased inpatient mortality for injured patients.

BACKGROUND: Trauma centers are an effective but costly element of the US health care infrastructure. Some Level I and II trauma centers regularly incur financial losses when these high fixed costs are coupled with high burdens of uncompensated care for disproportionately young and uninsured trauma patients. As a result, they are at risk of reducing their services or closing. The impact of these closures on patient outcomes, however, has not been previously assessed. METHODS: We performed a retrospective study of all adult patient visits for injuries at Level I and II, nonfederal trauma centers in California between 1999 and 2009. Within this population, we compared the in-hospital mortality of patients whose drive time to their nearest trauma center increased as the result of a nearby closure with those whose drive time did not increase using a multivariate logit-linked generalized linear model. Our sensitivity analysis tested whether this effect was limited to a 2-year period following a closure. RESULTS: The odds of inpatient mortality increased by 21% (odds ratio, 1.21; 95% confidence interval, 1.04-1.40) among trauma patients who experienced an increased drive time to their nearest trauma center as a result of a closure. The sensitivity analyses showed an even larger effect in the 2 years immediately following a closure, during which patients with increased drive time had 29% higher odds of inpatient death (odds ratio, 1.29; 95% confidence interval, 1.11-1.51). CONCLUSION: Our results show a strong association between closure of trauma centers in California and increased mortality for patients with injuries who have to travel further for definitive trauma care. These adverse impacts were intensified within 2 years of a closure. LEVEL OF EVIDENCE: Prognostic and epidemiologic, level III.

From 9-1-1 call to death: evaluating traumatic deaths in seven regions for early recognition of high-risk patients.

BACKGROUND: This study aimed to characterize initial clinical presentations of patients served by emergency medical services (EMS) who die following injury, with particular attention to patients with occult ("talk-and-die") presentations. METHODS: This was a population-based, multiregion, mixed-methods retrospective cohort study of fatally injured children and adults evaluated by 94 EMS agencies transporting to 122 hospitals in seven Western US regions from 2006 to 2008. Fatalities were divided into two main groups: occult injuries (talk-and-die; Glasgow Coma Scale [GCS] score ≥ 13, no cardiopulmonary arrest, and no intubation) versus overt injuries (all other patients). These groups were further subdivided by timing of death: early (<48 hours) versus late (>48 hours). We then compared demographic, physiologic, procedural, and injury patterns using descriptive statistics. We also used qualitative methods to analyze available EMS chart narratives for contextual information from the out-of-hospital encounter. RESULTS: During the 3-year study period, 3,358 persons served by 9-1-1 EMS providers died, with 1,225 (37.1%) in the field, 1,016 (30.8%) early in the hospital, and 1,060 (32.1%) late in the hospital. Of the 2,133 patients transported to a hospital, there were 612 (28.7%) talk-and-die patients, of whom 114 (18.6%) died early. Talk-and-die patients were older (median age, 81 years; interquartile range, 67-87 years), normotensive (median systolic blood pressure, 138 mm Hg; interquartile range, 116-160 mm Hg), commonly injured by falls (71.3%), and frequently (52.4%) died in nontrauma hospitals. Compared with overtly injured patients, talk-and-die patients had relatively fewer serious head injuries (13.7%) but more frequent extremity injuries (20.3% vs. 10.6%) and orthopedic interventions (25.3% vs. 5.0%). EMS personnel often found talk-and-die patients lying on the ground with hip pain or extremity injuries. CONCLUSION: Patients served by EMS who "talk-and-die" are typically older adults with falls, transported to nontrauma hospitals, with subtle clinical indications of the severity of their injuries. Improving recognition of talk-and-die patients may avoid fatal outcomes in a portion of these patients. LEVEL OF EVIDENCE: Epidemiologic study, level III.

Gunshot injuries in children served by emergency services.

OBJECTIVE: To describe the incidence, injury severity, resource use, mortality, and costs for children with gunshot injuries, compared with other injury mechanisms. METHODS: This was a population-based, retrospective cohort study (January 1, 2006-December 31, 2008) including all injured children age ≤ 19 years with a 9-1-1 response from 47 emergency medical services agencies transporting to 93 hospitals in 5 regions of the western United States. Outcomes included population-adjusted incidence, injury severity score ≥ 16, major surgery, blood transfusion, mortality, and average per-patient acute care costs. RESULTS: A total of 49,983 injured children had a 9-1-1 emergency medical services response, including 505 (1.0%) with gunshot injuries (83.2% age 15-19 years, 84.5% male). The population-adjusted annual incidence of gunshot injuries was 7.5 cases/100,000 children, which varied 16-fold between regions. Compared with children who had other mechanisms of injury, those injured by gunshot had the highest proportion of serious injuries (23%, 95% confidence interval [CI] 17.6-28.4), major surgery (32%, 95% CI 26.1-38.5), in-hospital mortality (8.0%, 95% CI 4.7-11.4), and costs ($28,510 per patient, 95% CI 22,193-34,827). CONCLUSIONS: Despite being less common than other injury mechanisms, gunshot injuries cause a disproportionate burden of adverse outcomes in children, particularly among older adolescent males. Public health, injury prevention, and health policy solutions are needed to reduce gunshot injuries in children.

The trade-offs in field trauma triage: a multiregion assessment of accuracy metrics and volume shifts associated with different triage strategies.

BACKGROUND: National benchmarks for trauma triage sensitivity (≥95%) and specificity (≥50%) have not been rigorously evaluated across broad populations of injured patients. We evaluated the impact of different field triage schemes for identifying seriously injured patients across a range of sensitivity values. Impact metrics included specificity and number of undertriaged and overtriaged patients compared with current triage practices. METHODS: This was a retrospective cohort study of injured children and adults transported by 48 emergency medical service (EMS) agencies to 105 hospitals in 6 regions of the Western United States from 2006 through 2008. Hospital outcomes were probabilistically linked to EMS records through trauma registries, state discharge databases, and state emergency department databases. The primary outcome was an Injury Severity Score (ISS) of 16 or greater. We evaluated 40 field predictor variables, including 31 current field triage criteria, using classification and regression tree analysis and cross-validation to generate estimates for sensitivity and specificity. RESULTS: A total of 89,261 injured patients were evaluated and transported by EMS providers during the 3-year period, of whom 5,711 (6.4%) had ISS of 16 or greater. As the 95% sensitivity target for triage was approached (from the current value of 87.5%), decision tree complexity increased, specificity decreased (from 62.8% to 18.7%), and the number of triage-positive patients without serious injury doubled (67,927 vs. 31,104). Analyses restricted to children and older adults were similar. The most consistent modification to the current triage algorithm to increase sensitivity without a major decrease in specificity was altering the Glasgow Coma Scale (GCS) score cutoff point from 13 or less to 14 or less (sensitivity increase to 90.4%). CONCLUSION: Reaching the field triage sensitivity benchmark of 95% would require a large decrease in specificity (increase in overtriage). A 90% sensitivity target seems more realistic and may be obtainable by modest changes to the current triage algorithm.

Deciphering the use and predictive value of "emergency medical services provider judgment" in out-of-hospital trauma triage: a multisite, mixed methods assessment.

BACKGROUND: "Emergency medical services (EMS) provider judgment" was recently added as a field triage criterion to the national guidelines, yet its predictive value and real world application remain unclear. We examine the use and independent predictive value of EMS provider judgment in identifying seriously injured persons. METHODS: We analyzed a population-based retrospective cohort, supplemented by qualitative analysis, of injured children and adults evaluated and transported by 47 EMS agencies to 94 hospitals in five regions across the Western United States from 2006 to 2008. We used logistic regression models to evaluate the independent predictive value of EMS provider judgment for Injury Severity Score ≥ 16. EMS narratives were analyzed using qualitative methods to assess and compare common themes for each step in the triage algorithm, plus EMS provider judgment. RESULTS: 213,869 injured patients were evaluated and transported by EMS over the 3-year period, of whom 41,191 (19.3%) met at least one of the field triage criteria. EMS provider judgment was the most commonly used triage criterion (40.0% of all triage-positive patients; sole criterion in 21.4%). After accounting for other triage criteria and confounders, the adjusted odds ratio of Injury Severity Score ≥ 16 for EMS provider judgment was 1.23 (95% confidence interval, 1.03-1.47), although there was variability in predictive value across sites. Patients meeting EMS provider judgment had concerning clinical presentations qualitatively similar to those meeting mechanistic and other special considerations criteria. CONCLUSIONS: Among this multisite cohort of trauma patients, EMS provider judgment was the most commonly used field trauma triage criterion, independently associated with serious injury, and useful in identifying high-risk patients missed by other criteria. However, there was variability in predictive value between sites.

Access to emergency and surgical care in sub-Saharan Africa: the infrastructure gap.

BACKGROUND: The effort to increase access to emergency and surgical care in low-income countries has received global attention. While most of the literature on this issue focuses on workforce challenges, it is critical to recognize infrastructure gaps that hinder the ability of health systems to make emergency and surgical care a reality. METHODS: This study reviews key barriers to the provision of emergency and surgical care in sub-Saharan Africa using aggregate data from the Service Provision Assessments and Demographic and Health Surveys of five countries: Ghana, Kenya, Rwanda, Tanzania and Uganda. For hospitals and health centres, competency was assessed in six areas: basic infrastructure, equipment, medicine storage, infection control, education and quality control. Percentage of compliant facilities in each country was calculated for each of the six areas to facilitate comparison of hospitals and health centres across the five countries. RESULTS: The percentage of hospitals with dependable running water and electricity ranged from 22% to 46%. In countries analysed, only 19-50% of hospitals had the ability to provide 24-hour emergency care. For storage of medication, only 18% to 41% of facilities had unexpired drugs and current inventories. Availability of supplies to control infection and safely dispose of hazardous waste was generally poor (less than 50%) across all facilities. As few as 14% of hospitals (and as high as 76%) among those surveyed had training and supervision in place. CONCLUSIONS: No surveyed hospital had enough infrastructure to follow minimum standards and practices that the World Health Organization has deemed essential for the provision of emergency and surgical care. The countries where these hospitals are located may be representative of other low-income countries in sub-Saharan Africa. Thus, the results suggest that increased attention to building up the infrastructure within struggling health systems is necessary for improvements in global access to medical care.