PurposeCities are expanding rapidly in middle-income countries, but their supply of acute care services is unknown. We measured acute care services supply in seven cities of diverse economic background.MethodsIn a cross-sectional study, we compared cities from two high-income (Boston, USA and Paris, France), three upper-middle-income (Bogota, Colombia; Recife, Brazil; and Liaocheng, China), and two lower-middle-income (Chennai, India and Kumasi, Ghana) countries. We collected standardized data on hospital beds, intensive care unit beds, and ambulances. Where possible, information was collected from local authorities. We expressed results per population (from United Nations) and per acute illness deaths (from Global Burden of Disease project).ResultsSupply of hospital beds where intravenous fluids could be delivered varied fourfold from 72.4/100,000 population in Kumasi to 241.5/100,000 in Boston. Intensive care unit (ICU) bed supply varied more than 45-fold from 0.4/100,000 population in Kumasi to 18.8/100,000 in Boston. Ambulance supply varied more than 70-fold. The variation widened when supply was estimated relative to disease burden (e.g., ICU beds varied more than 65-fold from 0.06/100 deaths due to acute illnesses in Kumasi to 4.11/100 in Bogota; ambulance services varied more than 100-fold). Hospital bed per disease burden was associated with gross domestic product (GDP) (R2 = 0.88, p = 0.01), but ICU supply was not (R2 = 0.33, p = 0.18). No city provided all requested data, and only two had ICU data.ConclusionsUrban acute care services vary substantially across economic regions, only partially due to differences in GDP. Cities were poor sources of information, which may hinder their future planning.

In an urban ED in Ghana, a CPUS examination improved the accuracy of the treating physician's initial diagnostic impression. There were no differences in 24-h mortality and a number of patient care interventions.

Objective Injuries are the cause of almost six million deaths annually worldwide, with 15–20% alcohol-associated. The frequency of alcohol-associated injury varies among countries, and is unknown in Ghana. We determined the frequency of positive alcohol tests among injured adults in a Ghanaian Emergency Department (ED). Methods This is a cross-sectional chart review of consecutive injured patients 18 years or older presenting to the Komfo Anokye Teaching Hospital ED for care within eight hours of injury. Patients were tested for alcohol using a breathalyzer or a saliva alcohol test. Patients were excluded if they had minor injuries resulting in referral to a separate outpatient clinic, or death prior to admission. Alcohol test results, subject, and injury characteristics were collected. Proportions with 95% confidence intervals (95%CIs) were calculated. Results 2,488 injured adult patients presented to the ED from November 2014 to April 2015 with 1,085 subjects (43%) included in this study. Three hundred eighty-two subjects (35%; 95%CI 32–38) tested alcohol positive. Forty-two percent of males (320/756), 40% of subjects 25–44 years (253/626), 42% of drivers (66/156), 42% of pedestrians (85/204), 49% of assaults (82/166), 40% of the seriously injured (124/311), and 53% of subjects who died in the ED (8/15) were positive for alcohol. Conclusions The frequency of alcohol-associated injury was 35% among tested subjects in this Ghanaian tertiary hospital ED. These findings have implications for health policy, ED and legislative-based interventions, and acute care.

ObjectivesWe evaluated the performance of commonly used sepsis screening tools across prospective sepsis cohorts in the USA, Cambodia and Ghana.DesignProspective cohort studies.Setting and participantsFrom 2014 to 2021, participants with two or more SIRS (Systemic Inflammatory Response Syndrome) criteria and suspected infection were enrolled in emergency departments and medical wards at hospitals in Cambodia and Ghana and hospitalised participants with suspected infection were enrolled in the USA. Cox proportional hazards regression was performed, and Harrell’s C-statistic calculated to determine 28-day mortality prediction performance of the quick Sequential Organ Failure Assessment (qSOFA) score ≥2, SIRS score ≥3, National Early Warning Score (NEWS) ≥5, Modified Early Warning Score (MEWS) ≥5 or Universal Vital Assessment (UVA) score ≥2. Screening tools were compared with baseline risk (age and sex) with the Wald test.ResultsThe cohorts included 567 participants (42.9% women) including 187 participants from Kumasi, Ghana, 200 participants from Takeo, Cambodia and 180 participants from Durham, North Carolina in the USA. The pooled mortality was 16.4% at 28 days. The mortality prediction accuracy increased from baseline risk with the MEWS (C-statistic: 0.63, 95% CI 0.58 to 0.68; p=0.002), NEWS (C-statistic: 0.68; 95% CI 0.64 to 0.73; p<0.001), qSOFA (C-statistic: 0.70, 95% CI 0.64 to 0.75; p<0.001), UVA score (C-statistic: 0.73, 95% CI 0.69 to 0.78; p<0.001), but not with SIRS (0.60; 95% CI 0.54 to 0.65; p=0.13). Within individual cohorts, only the UVA score in Ghana performed better than baseline risk (C-statistic: 0.77; 95% CI 0.71 to 0.83; p<0.001).ConclusionsAmong the cohorts, MEWS, NEWS, qSOFA and UVA scores performed better than baseline risk, largely driven by accuracy improvements in Ghana, while SIRS scores did not improve prognostication accuracy. Prognostication scores should be validated within the target population prior to clinical use.

Background: The inappropriate use of antibiotics is a global threat. Clinical microbiology laboratory testing can support optimal antibiotic prescribing for many conditions. The purpose of this study was to characterize antibiotic usage in the context of treatment of uncomplicated urinary tract infection (UTI) received through a Ghanaian Accident & Emergency, which found high rates of improper usage. Methods: A prospective cohort study recruited patients >18 years of age who were admitted to a large Ghanaian teaching hospital with suspected UTI. Eligible patients were identified through a daily review of admission logs. Data were collected through a review of medical records and microbiology laboratory urine data. Results: A total of 90 patients were enrolled, but urine cultures were obtained from only 50 (56%) patients. Most positive urine cultures grew typical urinary pathogens (21 of 25, 84%). The most common empiric regimens were cephalosporin-based and did not vary if additional infections were suspected or a urine culture was not sent. The majority of patients with confirmed UTI had isolates that were not susceptible to antibiotics selected for empiric treatment (18 of 21, 86%). Although more than half had their empiric regimen changed between admission and study follow up, only 42% (5 of 12) were switched to a regimen that included agent(s) to which their urinary isolate was known to be susceptible. Conclusions: Establishing hospital-wide guidelines regarding the evaluation and treatment of patients with suspected UTI may help improve antibiotic utilization and patient outcomes by increasing the use of urine cultures and tailoring therapy in response to culture results.