Patient characteristics of the Accident and Emergency Department of Kenyatta National Hospital, Nairobi, Kenya: a cross-sectional, prospective analysis

Background Resource-limited settings are increasingly experiencing a ‘triple burden’ of disease, composed of trauma, non-communicable diseases (NCDs) and known communicable disease patterns. However, the epidemiology of acute and emergency care is not well characterised and this limits efforts to further develop emergency care capacity. Objective To define the burden of disease by describing the patient population presenting to the Accident and Emergency Department (A&E) at Kenyatta National Hospital (KNH) in Kenya. Methods We completed a prospective descriptive assessment of patients in KNH’s A&E obtained via systematic sampling over 3 months. Research assistants collected data directly from patients and their charts. Chief complaint and diagnosis codes were grouped for analysis. Patient demographic characteristics were described using the mean and SD for age and n and percentages for categorical variables. International Classification of Disease 10 codes were categorised by 2013 Global Burden of Disease Study methods. Results Data were collected prospectively on 402 patients with an average age of 36 years (SD 19), and of whom, 50% were female. Patients were most likely to arrive by taxi or bus (39%), walking (28%) or ambulance (17%). Thirty-five per cent of patients were diagnosed with NCDs, 24% with injuries and 16% with communicable diseases, maternal and neonatal conditions. Overall, head injury was the single most common final diagnosis and occurred in 32 (8%) patients. The most common patient-reported mechanism for head injury was road traffic accident (39%). Conclusion This study estimates the characteristics of the A&E population at a tertiary centre in Kenya and highlights the triple burden of disease. Our findings emphasise the need for further development of emergency care resources and training to better address patient needs in resource-limited settings, such as KNH

Retrospective Review of the Patient Cases at a Major Trauma Center in Nairobi, Kenya and Implications for Emergency Care Development

Introduction Low- and middle-income countries (LMICs) are continuing to experience a “triple burden” of disease - traumatic injury, non-communicable diseases (NCDs), and communicable disease with maternal and neonatal conditions (CD&Ms). The epidemiology of this triad is not well characterised and poses significant challenges to resource allocations, administration, and education of emergency care providers. The data collected in this study provide a comprehensive description of the emergency centre at Kenya\u27s largest public tertiary care hospital. Methods This study is a retrospective chart review conducted at Kenyatta National Hospital of all patient encounters over a four-month period. Data were collected from financial and emergency centre triage records along with admission and mortality logbooks. Chief complaints and discharge diagnoses collected by specially trained research assistants were manually converted to standardised diagnoses using International Classification of Disease 10 (ICD-10) codes. ICD-10 codes were categorised into groups based on the ICD-10 classification system for presentation. Results A total of 23,941 patients presented to the emergency centre during the study period for an estimated annual census of 71,823. The majority of patients were aged 18-64 years (58%) with 50% of patients being male and only 3% of unknown sex. The majority of patients (61%) were treated in the emergency centre, observed, and discharged home. Admission was the next most common disposition (33%) followed by death (6%). Head injury was the overall most common diagnosis (11%) associated with admission. Conclusions Trends toward NCDs and traumatic diseases have been described by this study and merit further investigation in both the urban and rural setting. Specifically, the significance of head injury on healthcare cost, utilisation, and patient death and disability points to the growing need of additional resources at Kenyatta National Hospital for acute care. It further demonstrates the mounting impact of trauma in Kenya and throughout the developing world

Implementation and performance of the South African Triage Scale at Kenyatta National Hospital in Nairobi, Kenya

Abstract Introduction Triage protocols standardize and improve patient care in accident and emergency departments (A&Es). Kenyatta National Hospital (KNH), the largest public tertiary hospital in East Africa, is resource-limited and was without A&E-specific triage protocols. Objectives We sought to standardize patient triage through implementation of the South African Triage Scale (SATS). We aimed to (1) assess the reliability of triage decisions among A&E healthcare workers following an educational intervention and (2) analyze the validity of the SATS in KNH’s A&E. Methods Part 1 was a prospective, before and after trial utilizing an educational intervention and assessing triage reliability using previously validated vignettes administered to 166 healthcare workers. Part 2 was a triage chart review wherein we assessed the validity of the SATS in predicting patient disposition outcomes by inclusion of 2420 charts through retrospective, systematic sampling. Results Healthcare workers agreed with an expert defined triage standard for 64% of triage scenarios following an educational intervention, and had a 97% agreement allowing for a one-level discrepancy in the SATS score. There was “good” inter-rater agreement based on an intraclass correlation coefficient and quadratic weighted kappa. We analyzed 1209 pre-SATS and 1211 post-SATS patient charts and found a non-significant difference in undertriage and statistically significant decrease in overtriage rates between the pre- and post-SATS cohorts (undertriage 3.8 and 7.8%, respectively, p = 0.2; overtriage 70.9 and 62.3%, respectively, p < 0.05). The SATS had a sensitivity of 92.2% and specificity of 37.7% for predicting admission, death, or discharge in the A&E. Conclusion Healthcare worker triage decisions using the SATS were more consistent with expert opinion following an educational intervention. The SATS also performed well in predicting outcomes with high sensitivity and satisfactory levels of both undertriage and overtriage, confirming the SATS as a contextually appropriate triage system at a major East African A&E