Impact of traffic, poverty and facility ownership on travel time to emergency care in Nairobi, Kenya

Background: In many low and middle-income countries (LMICs), timely access to emergency healthcare services is limited. In urban settings, traffic can have a significant impact on travel time, leading to life-threatening delays for time-sensitive injuries and medical emergencies. In this study, we examined travel times to hospitals in Nairobi, Kenya, one of the largest and most congested cities in the developing world. Methods: We used a network approach to estimate average minimum travel times to different types of hospitals (e.g. ownership and level of care) in Nairobi under both congested and uncongested traffic conditions. We also examined the correlation between travel time and socioeconomic status. Results: We estimate the average minimum travel time during uncongested traffic conditions to any level 4 health facility (primary hospitals) or above in Nairobi to be 4.5 min (IQR 2.5­6.1). Traffic added an average of 9.0 min (a 200% increase). In uncongested conditions, we estimate an average travel time of 7.9 min (IQR 5.1­10.4) to level 5 facilities (secondary hospitals) and 11.6 min (IQR 8.5­14.2) to Kenyatta National Hospital, the only level 6 facility (tertiary hospital) in the country. Traffic congestion added an average of 13.1 and 16.0 min (166% and 138% increase) to travel times to level 5 and level 6 facilities, respectively. For individuals living below the poverty line, we estimate that preferential use of public or faith-based facilities could increase travel time by as much as 65%. Conclusion: Average travel times to health facilities capable of providing emergency care in Nairobi are quite low, but traffic congestion double or triple estimated travel times. Furthermore, we estimate significant disparities in timely access to care for those individuals living under the poverty line who preferentially seek care in public or faith-based facilities

Characterization of in-hospital cardiac arrest in adult patients at a tertiary hospital in Kenya

Background: In-hospital cardiac arrest (IHCA) is defined as a cardiac arrest that occurs in a hospital and for which resuscitation is attempted. Despite the increased morbidity and mortality, IHCA incidence and outcomes remain largely unknown especially in sub-Saharan Africa. This study describes the baseline characteristics, prearrest physiological parameters and the rate of survival to hospital discharge of adult patients with an IHCA at a tertiary hospital in Kenya. Methods: This was a retrospective chart review. Data on patient characteristics, pre-arrest physiological parameters and discharge condition were collected on all patients 18 years of age or older with an IHCA at the Aga Khan University Hospital, Nairobi, from January 2013 to December 2013. Results: The main study population comprised 108 patients. The mean age was 59.3 ± 18.4 years and 63 (58.3%) patients were men. The initial rhythm post cardiac arrest was pulseless electrical activity (41.7%) or asystole (35.2%) in the majority of cases. Hypertension (43.5%), septicaemia (40.7%), renal insufficiency (30.6%), diabetes mellitus (25.9%) and pneumonia (15.7%) were the leading pre-existing conditions in the patients. A Modified Early Warning Score (MEWS) of 5 or more was reached in 56 (67.5%, n= 83) patients before the cardiac arrest. The rate of survival to hospital discharge was 11.1%. All the patients who survived to hospital discharge had a good neurological outcome. Conclusions: Early identification of warning signs that precede many in-hospital arrests may enable institution of treatment to prevent patient deterioration. Local hospitals should be encouraged to provide patients with resuscitation services and equipment in line with evidence-based programmes