Injury and other medical emergencies are becoming increasingly common in low- and middle-income countries (LMICs). Many to most of the deaths from these conditions occur outside of hospitals, necessitating the development of prehospital care. Prehospital capabilities are inadequately developed to meet the growing needs for emergency care in most LMICs. In order to better plan for development of prehospital care globally, this study sought to better understand the current status of prehospital care in a wide range of LMICs.
A survey was conducted of emergency medical services (EMS) leaders and other key informants in 13 LMICs in Africa, Asia, and Latin America. Questions addressed methods of transport to hospital, training and certification of EMS providers, organization and funding of EMS systems, public access to prehospital care, and barriers to EMS development.
Prehospital care capabilities varied significantly, but in general, were less developed in low-income countries and in rural areas, where utilization of formal emergency medical services was often very low. Commercial drivers, volunteers, and other bystanders provided a large proportion of prehospital transport and occasionally also provide first aid in many locations. Although taxes and mandatory motor vehicle insurance provided supplemental funds to EMS in 85% of the countries, the most frequently cited barriers to further development of prehospital care was inadequate funding (36% of barriers cited). The next most commonly sited barriers were lack of leadership within the system (18%) and lack of legislation setting standards (18%).
Expansion of prehospital care to currently under- or un-served areas, especially in low-income countries and in rural areas, could make use of the already existing networks of first responders, such as commercial drivers and lay persons. Efforts to increase their effectiveness, such as more widespread first aid training, and better encompassing their efforts within formal EMS, are warranted. In terms of existing formal EMS, there is a need for increased and more regular funding, integration and coordination among existing services, and improved organization and leadership, as could be accomplished by making EMS administration and leadership a more desirable career path.
Until recently, efforts to reduce mortality globally have focused predominately on communicable diseases. However, injuries from multiple causes are becoming a significant contributor to overall mortality and morbidity. The World Health Organization (WHO) estimates that 5.8 million deaths annually are attributable to injuries, 90% of which occur in low-and middle-income countries (LMICs). Moreover, rates of one of the main causes of death, road traffic crashes, are increasing in most LMICs (
Capabilities for emergency care in hospital are gradually being addressed (
Efforts to strengthen prehospital care in LMICs are hampered by many considerations, including lack of a clear path to follow in initiating new formal emergency medical services (EMS) where none currently exist, the lack of evidence as to what elements of such formal EMS are cost-effective and in which circumstances, and a paucity of studies on alternatives to formal EMS, such as widespread first aid training for first responders (
Despite increased awareness of the global impact of injury and the need for emergency services for many medical conditions, no broader assessment of prehospital care systems in the developing world has been published. Understanding the current status is essential in order to guide future efforts to strengthen prehospital care systems and ultimately reduce the burden of injury and other medical conditions needing emergency care. Thus, this study sought to better understand the methods of transport to the hospital, training and certification of EMS providers, organization and funding of EMS systems, public access to prehospital care, and barriers to further prehospital care development in a wide range of LMICs.
A standardized 32 question, five-page questionnaire was developed. This was derived from needs assessment forms originally created by WHO, based on the
This study sought to administer this questionnaire to EMS leaders in several countries in each of the main three developing regions (Africa, Asia, Latin America). We approached this research project as a qualitative research study. Given the available resources for the project, we realized that a representative sample of EMS programs in low and middle-income countries around the world would not be feasible. We therefore followed a qualitative research approach and did purposeful sampling to capture the range of approaches to EMS care in these countries. This type of sampling is appropriate when developing an understanding of general approaches to a problem (
Several of the co-authors led data collection efforts in their regions (MJ for Asia, AR for Latin America, and AZ for Africa). National leaders in EMS were identified in countries on each continent through personal contacts. When available, these were people who headed governmental agencies whose portfolio encompassed prehospital care. When such individuals or agencies did not exist, information was gathered from leading professionals in each country who have been at the forefront of EMS development or related research. This study sought to sample at least three countries from each major region.
Information was gathered via a combination of personal visits, phone interviews, email, and letters. Data were gathered during 2009–2010. Respondents were asked to give averages for the country overall to the best of their knowledge. As many important variables such as access to EMS would be expected to vary across nations and states, opinions were sought on many of these variables for rural vs urban differences.
Each country was classified into low-income, lower-middle-income, and upper-middle-income according to the World Bank Atlas Method (
Data were analyzed qualitatively as to major findings and regional variations. A characteristic of qualitative research is that the approach relies less on numerical data than on synthesis of observations across the spectrum of models, in this case for EMS care. The data analysis was one of reducing the large amount of data collected to understand key themes of EMS care in these countries; it is not meant to be a quantitative data analysis of a random sample of programs (
For purposes of the questionnaire and the analysis, the following definitions were used: Emergency Medical Services (EMS) referred to formal prehospital services, within a defined organization and most often with ambulances. Prehospital care was a broader concept, encompassing EMS, but also first aid and prehospital transport provided by commercial drivers, private citizens, and other laypersons, whether as part of a formal system or not.
This study was deemed exempt from review by the University of Washington IRB.
Data were obtained from 13 countries (
Among participating sites, there was wide variation in the method of transporting emergency patients to the hospital (
All sites except Pakistan and Gujarat State, India had some level of training available for first responders, such as firefighters, police, and lay persons (
Almost all countries had several levels of training for EMS providers, with some utilizing doctors and nurses for portions of this level of care. However, the type of certification available and whether certification was required or merely offered varied tremendously by country.
EMS systems were organized at many different levels, including national, regional/state, and local levels (
Almost all countries, with the exception of Kenya, provided some level of transportation to patients free of charge that was funded by the government or obligatory motor vehicle insurance (
All sites, except Maharashtra State and Mexico, had a common emergency access number available to the public (
Access to care was also partially reflected in utilization rates (
Twenty-two separate entries were provided regarding barriers to provision of EMS services (with some respondents mentioning none and some one or more). The predominant barrier was inadequate funding (36%). The next most commonly cited barriers were a lack of leadership within the system (18%) and a lack of legislation to set standards (18%). Other common barriers included a lack of integration among multiple systems (14%) and no standard accreditation for EMS providers/paramedics (14%).
This study sought to characterize prehospital care capabilities in a range of LMICs focusing on types of services available, access to those services, and the overall organization and funding of the services. By so doing, we sought to provide information that would be useful in planning of efforts to strengthen and expand prehospital care capabilities globally.
Although this is the most comprehensive study of this kind to date and did evaluate countries across a wide spectrum of geography and economic levels, there are several limitations. First, the study sought to obtain information from someone in charge of EMS either nationally or in a given state or jurisdiction. In many cases, there was no individual or agency designated as being in charge of EMS. In these cases, knowledgeable respondents were identified through personal contacts. It cannot be known if these were always the persons with the best information about a given location.
Second, although components of the data gathered were objective (such as ambulance standards, training of EMS providers, availability of uniform access numbers), much of the data were subjective and based on estimates rather than data obtained from existing databases (such as percent of persons with access to care under one hour).
Third, even when data did exist (such as for utilization rates per population served), it often existed only for specific areas. There were indeed some cases in which fairly reliable national data are available, such as for the National Ambulance Service in Ghana. For many locations however, it was not known how data from different locations could reliably be scaled up to reflect nationwide patterns of care. This was especially problematic as in most countries there were large discrepancies in the availability of prehospital care between urban and rural areas.
Fourth, this qualitative study utilized a purposeful sampling method that selected known leaders in prehospital care. This would tend to bias the findings towards locations with better developed systems, as less developed systems would tend to have less well known or externally visible leaders, if indeed anyone could even be considered a leader. This would in turn result in the findings showing prehospital capabilities to be better developed than for other LMICs that were not sampled. Thus, the problems and barriers identified in this paper are likely to be even more pronounced globally.
Despite these limitations, this study provides useful information about the current status of EMS development globally that will assist in future efforts to expand and strengthen prehospital care globally. Several major themes emerged from the data.
This survey could not provide direct estimates of unmet need for prehospital services, such as the percent of seriously ill or injured persons who would benefit from an ambulance but who do not receive it because of either geographic or financial accessibility. In part, however, unmet need can be inversely reflected in the utilization rates for EMS (
Although formal EMS appeared to have good coverage in middle-income countries and in some urban areas of low-income countries, its availability more generally in low-income countries remains low. Many severely ill and injured persons still come to hospital (when they do) by less formal means, such as commercial and private vehicles or non-motorized means, usually with considerable delays and with no first aid delivered. This supports the findings of other studies. In Mumbai, Roy et al found that only 35% of trauma patients were transported to the main trauma center via ambulance (
A wide variety of institutional arrangements were reported as to the level of government involved (national, state, local) in EMS administration and as to types of EMS providers (doctors, nurses, paramedics, etc) and their training requirements. The data presented do not allow conclusions to be drawn about whether or not one system might offer advantages compared to others. However, commonly cited barriers to improvement and expansion of EMS coverage were lack of integration of different services, lack of standards, and lack of leadership, which cut across the different systems and institutional arrangements. Other studies have cited similar considerations, including the fact that few doctors or other more highly trained professionals are interested in devoting significant portions of their career to EMS (
The most commonly cited barrier to improvements and expansion of prehospital care cited in this study was inadequate funding. This is despite the fact that most countries had some mechanisms in place to provide funding for EMS, such as taxes or funds deriving from mandatory motor vehicle insurance. Clearly greater reliability of such funding mechanisms is needed (
The literature provides some useful ideas on potential solutions to the above-identified barriers to expansion of prehospital care to rural and other currently underserved areas. An approach that has not been given sufficient attention in many countries is greater usage of first responders, such as commercial drivers and other lay persons who are already providing a significant amount of the prehospital transport of severely ill and injured persons and who, in many areas, constitute a
In landmine infested areas of Cambodia and Iraq, one innovative program instituted widespread first aid training and provided basic supplies to a network of thousands of village volunteers. This resulted in a sustained decrease in mortality among victims of landmine injuries and other types of trauma, from 40% to 8% (
One technical aspect of EMS to improve access is the establishment of a uniform emergency access telephone number. In the current study, most countries did report such a uniform emergency access number. However, WHO’s
Many of the above issues could be comprehensively addressed by legislation on prehospital care and EMS, the lack of which was cited as one of the most frequent barriers to EMS development. Legislation can encompass elements such as establishing a statutory lead agency if none exists. It also encompasses setting and promoting standards on training, communications, equipment and supplies, and financing of the system. Two countries that have enacted such EMS legislation in an exemplary fashion recently have been Colombia and Romania. In both cases the legislation resulted in documented improvements in the care received by victims of injury and other medical emergencies, such as decreases in prehospital times (
This global survey has shown that indeed much is being done well in many countries and that there are dedicated professionals and volunteers often working against considerable odds to provide and improve prehospital care in their areas. Their efforts could be aided by several measures, based on the findings of this study. These include: greater expansion of services to currently under- or un-served areas, especially in low-income countries and in rural areas everywhere. Such expansion could make better use of the already existing networks of first responders, such as commercial drivers and lay persons. Efforts to increase their effectiveness, such as more widespread first aid training, and better encompassing their efforts within formal EMS, in a tiered fashion, are warranted. In terms of existing formal EMS, there is a need for increased and more regular funding, integration and coordination among existing services, and improved organization and leadership, as could be accomplished by making EMS administration and leadership a more sought after career path and by national or statewide prehospital and EMS legislation that addresses many of the above elements in a comprehensive fashion.
The study was funded in part by a grant from the Laerdal Foundation for Acute Medicine, by a grant (D43-TW007267) from the Fogarty International Center, US National Institutes of Health, and by a grant (R49 CE000197) from the US Centers for Disease Control and Prevention.
The authors thank the following people for their contributions: Heather Macey and Itote Waruhiu (Kenya); Dr. Timothy C. Hardcastle (South Africa); Dr. Amit Gupta (State of Delhi, India); Dr. Sharad Vyas (State of Gujarat, India); Dr. Prasad Rajhans (State of Maharashtra, India); Dr. Junaid Razzak (Pakistan); Dr. Shirani Hapuarachchi (Sri Lanka); Nguyen Thi Hoai Thu (Vietnam); Dr. Cloer Vescia Alves and Dr. Sandro Scarpellini (Brazil); Dr. Luis F. Correa and Dr. Alexander Paz (Colombia); Dr. Johnny Jerez and Dr. Guillermo Perez (Ecuador); Dr. Arturo Garcia Cruz and Dr. Gerardo Jose Illescas (Mexico); Dr. Einar Cruz, Dr. Ricardo Hughes, and Chief Gilberto Thomas (Panama); Dr. Carlos Malpica and Dr. Marlon Ramirez (Peru).
DECLARATIONS OF INTERESTS
The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.
Geographic location of countries surveyed.
This map was created using Google Charts API (
2008 World Bank classification of countries surveyed
| World Bank classification | Site | Gross National Income per capita, Atlas Method | Population (million) | Population living on less than $1 per day (%) | Life expectancy (years) | Infant mortality rate (per 1000 live births) | |
|---|---|---|---|---|---|---|---|
| Ghana | 810 | 24 | 30.0 | 60 | 50 | ||
| Kenya | 660 | 40 | 19.7 | 60 | 55 | ||
| Pakistan | 850 | 132 | 22.6 | 63 | 70 | ||
| Vietnam | 790 | 87 | 21.5 | 72 | 19 | ||
| Ecuador | 3060 | 13.5 | 4.7 | 75 | 18 | ||
| India | Delhi | 1000 | 14 | 41.6 | 65 | 48 | |
| Gujarat | 51 | ||||||
| Maharashtra | 97 | ||||||
| Sri Lanka | 1520 | 20 | 14.0 | 71 | 14 | ||
| Brazil | 6110 | 199 | 5.2 | 73 | 17 | ||
| Colombia | 4070 | 45 | 16.0 | 76 | 17 | ||
| Mexico | 9090 | 111 | <2.0 | 76 | 14 | ||
| Panama | 5550 | 3.3 | 9.5 | 77 | 17 | ||
| Peru | 3380 | 29.5 | 7.9 | 76 | 15 | ||
| South Africa | 5770 | 49 | 26.2 | 54 | 41 | ||
The World Bank classifies economies based upon 2008 Gross National Income per capita, which is calculated by the World Bank Atlas Method (
Types of respondents who provided data.
| Site | Government official in charge of EMS for country | Government official in charge of EMS for state or local area | Other government EMS official | Clinician involved with EMS | Non-government organization working with EMS | |
|---|---|---|---|---|---|---|
| Ghana | 1 | |||||
| Kenya | 2 | |||||
| South Africa | 1 | |||||
| India | Delhi | 1 | ||||
| Gujarat | 1 | |||||
| Maharashtra | 1 | |||||
| Pakistan | 1 | |||||
| Sri Lanka | 1 | |||||
| Vietnam | 1 | |||||
| Brazil | 1 | 1 | 1 | |||
| Colombia | 1 | 1 | 1 | 1 | ||
| Ecuador | 2 | |||||
| Mexico | 1 | 1 | ||||
| Panama | 1 | 2 | ||||
| Peru | 1 | 1 | 1 | |||
Methods of transport to hospital for victims of injury and other medical emergencies by country (%)
| Site | Untrained EMS | BLS | ALS | Police/fire | Commercial | Private | Non-motor | Other | |
|---|---|---|---|---|---|---|---|---|---|
| Ghana | ++ | ++ | + | 0 | ++ | + | + | 0 | |
| Kenya | + | + | 0 | 0 | +++ | ++ | + | 0 | |
| South Africa | 0 | +++ | ++ | 0 | ++ | ++ | + | 0 | |
| India | Delhi | + | ++ | 0 | ++ | ++ | ++ | + | + |
| Gujarat | + | +++ | + | + | + | + | + | + | |
| Maharashtra | ++ | ++ | 0 | + | ++ | ++ | 0 | 0 | |
| Pakistan | ++ | 0 | 0 | + | + | +++ | + | 0 | |
| Sri Lanka | ++ | 0 | ++ | + | +++ | 0 | |||
| Vietnam | 0 | + | + | 0 | +++ | ++ | 0 | 0 | |
| Colombia | 0 | +++ | ++ | ++ | 0 | 0 | |||
| Panama | + | ++ | ++ | ++ | 0 | ++ | 0 | ++ | |
Method not used: 0
<10%: +; 1
0 – 49%: ++;
≥ 50%: +++
Data were not provided by Mexico, Ecuador, Peru, and Brazil.
Training of first responders and emergency medical services (EMS) personnel
| Non-EMS first responders | EMS providers | ||||
|---|---|---|---|---|---|
| Site | Type of non-EMS first responders | Training of first responders | Training of EMS providers | Certification required for EMS providers | |
| Ghana | Commercial drivers | First aid | BLS: EMT course | EMT | |
| Kenya | Police, fire | First aid | EMT | none | |
| South Africa | Community members | First aid | BLS: 6wk training | BTLS/ACLS/BLS/PEARS/ATLS | |
| India | Delhi | Police, fire | BLS | Junior ambulance officers and paramedics | BTLS-/PHTLS-like certification |
| Gujarat | Negligible | 6 wk training (ALS, BLS) | EMT (6 wk course) | ||
| Maharashtra | Teachers, industry professionals, rickshaw drivers, civil defense | First aid/BLS | Doctor: EMS diploma | EMT | |
| Pakistan | Negligible | Most services without, 1 with doctors, 1 with EMTs | none | ||
| Sri Lanka | First aid | EMS levels 1–4 | none | ||
| Vietnam | Commercial drivers (motor cycle taxi), community health workers | First aid | Doctor, nurse, and driver | none | |
| Brazil | Firefighters, police | First aid | Doctor, nurse, nurse tech, first responder: PHTLS, ATLS, ACLS, BLS | BLS, ACLS, PHTLS | |
| Colombia | First aid: firefighters, civil defense, nurse technicians, laypeople | First aid | Doctor, nurse, prehospital care tech, nurse asst: 20hrs BLS, 48hrs ALS | NA | |
| Ecuador | Firefighters, civil protection, lay persons | First aid | Some EMT, doctors | None | |
| Mexico | Firefighters, civil protection, lay persons | First aid | Doctors: some services request ACLS, PHTLS, BLS, and ATLS; EMT | National EMT program; some ACLS, PHTLS, BLS, ATLS | |
| Panama | Firefighters, police | First aid | Doctor EMT degree | EMT | |
| Peru | Firefighters, police | First aid | Drivers: CPR Nurse tech, EMT, nurse: prehospital care course; Doctor: EM or critical care transport | BLS, ACLS, PHTLS | |
ACLS: Advanced Cardiac Life Support course. ALS: Advanced life support. BLS: Basic life support. ATLS: Advanced Ttrauma Life Support course. CPR: Cardio-pulmonary resuscitation. EM: Emergency medicine. EMT: Emergency medical technician. ILS: Intermediate life support. Mo: month. NA: Not applicable. PEARS: Pediatric Emergency Assessment, Recognition, and Stabilization. PHTLS: Prehospital Trauma Life Support course. Wk: week.
Organization of emergency medical services
| Site | Level | Ambulance standards | Communicate with hospital? | |
|---|---|---|---|---|
| Ghana | National, Regional, District/Local | No | Sometimes | |
| Kenya | National | Yes | Radio and phone | |
| South Africa | National, Regional, Local | Yes | Sometimes | |
| India | Delhi | Regional | Yes | No |
| Gujarat | State | Yes | No | |
| Maharashtra | Local | Yes | Mobile phone or radio | |
| Pakistan | National, Regional, Local | No | Yes – 1 service | |
| Sri Lanka | Local | No | 2 way radio | |
| Vietnam | National, District | Minimal | Personal mobile phone | |
| Brazil | National | Yes | Radio | |
| Colombia | National, Local | Yes | Radio | |
| Ecuador | National | Yes | Mobile phone or radio | |
| Mexico | State | Yes | Mobile phone or radio | |
| Panama | State | Yes | Mobile phone or radio | |
| Peru | National | Yes | Mobile phone or radio | |
Funding of emergency medical services
| Site | Method of payment for patients | Source of funding | Type of non-out of pocket funding | |
|---|---|---|---|---|
| Ghana | Free | Government | Taxes | |
| Kenya | Self pay | Patient | None | |
| South Africa | Free | Government or personal medical insurance | Taxes & Insurance | |
| India | Delhi | Free | Government | Taxes |
| Gujarat | Free | Government | Taxes | |
| Maharashtra | Self pay | Patient | None | |
| Pakistan | Free | Government & Private | Donations | |
| Sri Lanka | Free | Local Authority | Taxes | |
| Vietnam | Free | Government, insurance companies | Taxes & Insurance | |
| Brazil | Free | Government | Taxes | |
| Colombia | Free | Mandatory motor vehicle insurance | Taxes & Insurance | |
| Ecuador | Varies | Mandatory motor vehicle insurance | Taxes & Insurance | |
| Mexico | Self pay (private) | Government agencies/hospitals | Taxes | |
| Panama | Free | State | Taxes | |
| Peru | Free | Mandatory motor vehicle insurance & government | Taxes & Insurance | |
Self pay for non-emergency transport or transport to private hospital
For motor vehicle crashes, disasters, terrorism
Access to emergency medical services
| Site | Common access number? | Access <1 hour (urban/rural) (%) | Volume (runs/thousand population/year) | |
|---|---|---|---|---|
| Ghana | Yes | 70/20 | 0.33 | |
| Kenya | Yes | 1 | ND | |
| South Africa | Yes | 60 | 72 | |
| India | Delhi | Yes | 50–70 | 3.3 |
| Gujarat | Yes | 85 | 13 | |
| Maharashtra | No | 100 | 3.7 | |
| Pakistan | Yes | ND | 1.6 | |
| Sri Lanka | Yes | 5 | ND | |
| Vietnam | Yes | 5 | ND | |
| Brazil | Yes | 100/variable | 36 | |
| Colombia | Yes | 100/almost 100 except remote rural areas | 31 | |
| Ecuador | Yes | 15–30/0 | ND | |
| Mexico | No | 20 (main cities) | 10.5 | |
| Panama | Yes | 75 | ND | |
| Peru | Yes | 80–100/0 | 13.7 | |
KwaZulu-Natal province (urban and rural),
Calls (urban and rural),
Aman foundation (urban),
Edhi service (urban),
Rescue 1122 service (urban),
Santa Catarina state (urban and),
Bogota (urban),
Huila State and Neiva City (urban and rural),
Lima (urban). Data for Ghana and Mexico are nationwide, reflecting rural and urban together. Data for Delhi are urban only. Data for Gujarat and Maharashtra are statewide, reflecting rural and urban together. ND: No data.