Predicting the effects of introducing an emergency transport system in low-income and middle-income countries: a spatial-epidemiological modelling study

Scandrett, K., Lilford, R., Nepogodiev, D., Katikireddi, S. V. , Davies, J., Tabiri, S. and Watson, S. I. (2024) Predicting the effects of introducing an emergency transport system in low-income and middle-income countries: a spatial-epidemiological modelling study. BMJ Public Health, 2, e000321. (doi: 10.1136/bmjph-2023-000321)

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Abstract

Introduction: Many low-income and middle-income countries lack an organised emergency transportation system, leaving people to arrange informal transport to hospital in the case of a medical emergency. Estimating the effect of implementing an emergency transport system is impractical and expensive, so there is a lack of evidence to support policy and investment decisions. Alternative modelling strategies may be able to fill this gap. Methods: We have developed a spatial-epidemiological model of emergency transport for life-threatening conditions. The model incorporates components to both predict travel times across an area of interest under different scenarios and predict survival for emergency conditions as a function of time to receive care. We review potentially relevant data sources for different model parameters. We apply the model to the illustrative case study of providing emergency transport for postpartum haemorrhage in Northern Ghana. Results: The model predicts that the effects of an ambulance service are likely to be ephemeral, varying according to local circumstances such as population density and road networks. In our applied example, the introduction of the ambulance service may save 40 lives (95% credible interval 5 to 111), or up to 107 lives (95% credible interval −293 to –13) may be lost across the region in a year, dependent on various model assumptions and parameter specifications. Maps showing the probability of reduced transfer time with the ambulance service may be particularly useful and allow for resource allocation planning. Conclusions: Although there is scope for improvement in our model and in the data available to populate the model and inform parameter choices, we believe this work provides a foundation for pioneering methodology to predict the effect of introducing an ambulance system. Our spatial-epidemiological model includes much oppurtunity for flexibility and can be updated as required to best represent a chosen case study.

Item Type:Articles
Additional Information:Funding JD was funded by National Institute of Health and Care Research (NIHR) Global Health Group on Equitable Access to Quality Health Care for Injured People in Four Low or Middle Income Countries: Equi-injury; NIHR133135. RL and JD were funded by NIHR Research and Innovation for Global Health Transformation (RIGHT) grant—Rwanda912: Use of an innovative electronic communications platform to improve prehospital transport of injured people in Rwanda; NIHR203062. RL and SIW were funded by NIHR Applied Research Collaboration West Midlands; NIHR200165. RL, DN and ST funded by NIHR Global Health Research Unit Global Surgery Unit; NIHR133364. RL and SIW were funded by NIHR Global Health Research Unit on Improving Health in Slums; 16/136/87. SVK was funded by Medical Research Council (MC_UU_00022/2), Scottish Government Chief Scientist Office (SPHSU17) and European Research Council (949582). RL, KS and SVK were funded by NIHR Global Health Research Unit on Social and Environmental Determinants of Health Inequalities; NIHR134801. RL and SIW were funded by NIHR Transforming the Treatment and Prevention of Leprosy and Buruli ulcers in Low and Middle-Income Countries (LMICs); NIHR200132. KS was funded by the NIHR Birmingham Biomedical Research Centre; S-BRC-1215-20009.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Katikireddi, Professor Vittal
Authors: Scandrett, K., Lilford, R., Nepogodiev, D., Katikireddi, S. V., Davies, J., Tabiri, S., and Watson, S. I.
College/School:College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > MRC/CSO SPHSU
Journal Name:BMJ Public Health
Publisher:BMJ Publishing Group
ISSN:2753-4294
ISSN (Online):2753-4294
Copyright Holders:Copyright: © Author(s) (or their employer(s)) 2024
First Published:First published in BMJ Public Health 2: e000321
Publisher Policy:Reproduced under a Creative Commons licence

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
3048230021Inequalities in healthAlastair LeylandMedical Research Council (MRC)MC_UU_00022/2HW - MRC/CSO Social and Public Health Sciences Unit
3048230071Inequalities in healthAlastair LeylandOffice of the Chief Scientific Adviser (CSO)SPHSU17HW - MRC/CSO Social and Public Health Sciences Unit
308851HEEDSrinivasa KatikireddiEuropean Research Council (ERC)949582SHW - MRC/CSO Social & Public Health Sciences Unit
314970NIHR GHR Unit on Social and Environmental Determinants of Health InequalitiesAlastair LeylandNational Institute for Health Research (NIHR)NIHR134801SHW - MRC/CSO Social & Public Health Sciences Unit