REVIEW ARTICLE
REVISTA DE LA FACULTAD DE MEDICINA HUMANA 2019 - Universidad Ricardo Palma
1 Research Institute in Biomedical Sciences, INICIB, Ricardo Palma University. Lima, Peru.S
ABSTRACT:
Introduction: Traffic accidents (AT) are the first priority in health research in Peru, According to the World Health Organization (WHO) it is estimated that the economic costs of vehicle impact and injuries due to AT are 1 % and 1.5% of the Gross National Product (GNP) in low and middle income countries; In Peru it is approximately 1.5 - 2% of the Gross Domestic Product (GDP).
Objective: To determine if there is an association between the time of prehospital care and hospital mortality in victims of traffic accidents.
Methods: A systematic review was carried out through the literature search of related articles in indexing sources such as PubMed and BIREME.
Results: Delays in the transfer of patients to the hospital and the lack of pre-hospital Emergency Medical System (SME) were significantly associated with an increase in mortality (P: 0.000) and the need for an SME as a prehospital care provider was significant predictor of emergency mortality with an adjusted odds ratio [OR] 2.19; 95% CI [1.88–2.55], and in the first 24 hours of admission with an adjusted OR 2.31; 95% CI [1.95–2.73].
Conclusions: The time of pre-hospital care in traffic accidents is significantly associated with hospital mortality, therefore, it is proposed to study factors associated with the longtime of pre-hospital care.
Keywords: Accidents, Traffic; Disaster Victims; Time; Emergency Medical Services; Emergency Care, Prehospital; Prehospital Emergency Care; Mortality. (Sources: DeCS Pubmed; BIREME)
RESUMEN
Introducción: Los accidentes de tránsito (AT) se encuentran como la primera prioridad en investigación de salud en el Perú, Según la Organización Mundial de la Salud (OMS) se estima que los costos económicos por impacto de vehículos y lesiones por AT son de 1% y 1.5% del Producto Nacional Bruto (PNB) en países de bajos y medianos ingresos; En el Perú es aproximadamente el 1.5 – 2% del Producto Bruto Interno (PBI).
Objetivo: Determinar si existe asociación entre el tiempo de atención prehospitalaria y la mortalidad hospitalaria en víctimas de accidentes de tránsito.
Métodos: Se realizó una revisión sistemática mediante la búsqueda bibliográfica de artículos relacionados en fuentes de indexación tales como PubMed y BIREME.
Resultados: Los retrasos en las transferencias de pacientes al hospital y la falta Sistema Médico de Emergencia (SME) pre hospitalarios se asociaron significativamente con un aumento de la mortalidad (P: 0.000) así mismo la necesidad de un SME como proveedor de atención prehospitalaria fue predictor significativo de mortalidad en emergencia con un odds ratio [OR] ajustado 2.19; IC del 95% [1.88–2.55], y en las primeras 24 horas de ingreso con un OR ajustado 2.31; IC del 95% [ 1.95–2.73].
Conclusión: El tiempo de atención pre hospitalaria en accidentes de tránsito se encuentra significativamente asociada a la mortalidad hospitalaria, por ello, se propone estudiar factores asociados al largo tiempo de atención pre hospitalaria.
Palabras Clave: Accidentes, tráfico; Tiempo; Servicios médicos de emergencia; Atención de emergencia, prehospitalaria; Atención prehospitalaria de emergencia; Mortalidad. (Fuentes: DeCS/BIREME)
Illustration 1.Article selection flow diagram
AUTHORS | POPULATION | COUNTRY | TYPE OF STUDY |
TOHME et al.(5) | 589 | Switzerland | Prospective cohort study |
Chandrasekharan et al.(6) | 773 | India | Observational prospective |
MILLS et al.(7) | 18 709 | Denmark | Retrospective cohort |
BROWN et al.(8) | 1625 | Australia | Retrospective cohort |
BYRNE et al.(9) | 119740 | EE.UU | Retrospective cohort |
GONZALEZ et al.(10) | 45,763 | EE.UU | Retrospective study |
LOVELY et al.(11) | 3980 | EE.UU | Retrospective study |
RIYAPAN et al.(12) | 39.761 | Thailand | Retrospective cohort |
GAUSS et al.(13) | 6441 | France | Retrospective cohort |
VERA-LOPEZ et al.(14) | 2,575 | Mexico | Case and control study |
TANSLEY et al.(15) | 1568 | Canada | Analytical observational study |
CHAMPION et al.(16) | 55537 | EE.UU | Analytical observational study |
BONIFACE et al.(17) | 9316 | Tanzania | Cross-sectional study |
YEAR | TITLE | AUTHORS | FINDINGS | RESULTS | IMPORTANCE | STRENGHTS | WEAKNESSES |
2019 | Prehospital time and mortality in patients requiring a highest priority emergency medical response: a Danish registry-based cohort study. | MILLS et al. (7) | Mortality from 1 to 30 days was not associated with prehospital time in traffic accidents. | OR 0,65 (IC 95% 0,29 a 1,48) | Studies the influence of the total prehospital time, in the mortality of 1 day as in that of 30 days | He managed to find that prehospital time does not affect mortality by up to 80 minutes. | The significant findings are merely associations and not causal. |
2019 | Association of Prehospital Time to In-Hospital Trauma Mortality in a Physician-Staffed Emergency Medicine System | GAUSS et al.(13) | The odds of death increased by 9% for each 10 minutes increase in prehospital time. | (OR, 1.09 [95% CI, 1.07-1.11]) and after adjustment by 4% (odds ratio, 1.04 [95% CI, 1.01-1.07]). | The association between prehospital care time (TAPH) and mortality. | Total prehospital time was the primary exposure variable | Existing comparative data are limited and conflicting. |
2019 | Longer Prehospital Time was not Associated with Mortality in Major Trauma: A Retrospective Cohort Study. | BROWN et al.(8) | No association was found between TAPH and 30 day mortality. But in 30 day survivors, the one-minute increase in time at the scene was associated with 1.16 times longer duration of hospitalization. | (Adjusted OR 1.10, 95% confidence interval (CI) 0.71-1.69) and odds ratio 1.16 (95% CI 1.03-1.31) respectively. | TAPH was associated with a longer hospital stay. | Reduced the risk of confusion | The study is subject to potential survivor bias. |
2019 | Injury Severity Score alone predicts mortality when compared to EMS scene time and transport time for motor vehicle trauma patients who arrive alive to hospital | LOVELY et al.(11) | Prehospital transport time (TTPH) was not significantly associated with mortality. | (P=0,458) | Mortality was significantly predicted. | Lots of scenes with prolonged TAPH. | Prehospital deaths could not be captured. |
2019 | Effect of predicted travel time to trauma care on mortality in major trauma patients in Nova Scotia. | TANSLEY et al.(15) | Lack of TTPH to care centers within 30 minutes was associated with a 66% higher risk of death | (OR 1.66, 95% confidence interval [CI] 1.09-2.52. P = 0.018) | The long TAPH was associated with worse outcomes for AT victims. | Reliability that prevented the inclusion of inaccurate data in the analysis. | Residual confusion due to unidentified factors is possible. |
2018 | The response of the Emergency Medical System and its relationship with different health outcomes in people injured by traffic in two Mexican cities. | VERA-LOPEZ et al.(14) | Association between opportunity for intervention (TAPH) with mortality and prehospital care associated with negative health consequences | OR 0,99;IC95%(0,97-1,01); p= 0,318 y OR 28,30; IC 95% (3,60-222,58); p=0,001 | Timeliness of care was associated with a shorter hospital stay. | Significant results and great association for the study. | The sample size for disability and mortality cases is small. |
2017 | Outcomes of Emergency Medical Service Usage in Severe Road Traffic Injury during Thai Holidays | RIYAPAN et al.(12) | Use of the emergency medical system as a prehospital care provider was a significant predictor of emergency and 24-hour mortality. | [Adjusted OR] 2.19; 95% CI [1.88-2.55], and in the first 24 hours of admission adjusted OR 2.31; 95% CI [1.95-2.73]. | The association between prehospital care system, and mortality. | Analyzed the country's largest registry in AT. | It did not collect data on confounding variables that could affect clinical outcomes. |
2016 | Factors Impacting Mortality in the Pre-Hospital Period After Road Traffic Accidents in Urban India. | Chandrasekharan A et al.(6) | Delays in patient transfers to the hospital and lack of prehospital emergency services were significantly associated with increased mortality. | (P = 0,000) | Late arrival at the hospital had a significant impact on mortality. | It contains the necessary data for association with morbidity and mortality. | Mortality is an outcome affected by several variables. In-hospital. |
2016 | The impact of short prehospital times on trauma center performance benchmarking: An ecologic study. | BYRNE et al.(9) | The odds of death with the shorter PHT were significantly higher than in the centers with the longer PHT. | (OR, 2.00; 95% confidence interval (CI), 1.43-2.78) | To assess the relationship of TAPH and adjusted mortality. | Excellent selection and calibration in risk adjustment models. | No conclusions can be drawn about the causal relationship. |
2016 | Time and place of death from automobile crashes: Research endpoint implications. |
CHAMPIONn et al.(16) | The risk of death after the accident is 0.4% per minute in the first 30 minutes, rising to 1% per minute in the next 60 minutes. | The resulting curve Y = 908.99e-0.013x establishes the relationship between time and mortality, RR = 0.967 | Assess whether there is an opportunity to reduce mortality from traffic accidents. | Establish the relationship between time after injury and death. | The study was limited to patients who were injured before 4 hours and after 5 minutes. |
2014 | Prehospital risk factors of mortality and impaired consciousness after severe traumatic brain injury: an epidemiological study | TOHME et al.(3) | Prehospital time was not identified as a risk or protective factor Mortality factors. | P= 0,264 | Hypothermia and hypotension were associated with short-term mortality. | The results had few losses in the follow-up. | The results are associations and therefore may not be causal. |
2013 | INJURY EXPERIENCE IN TANZANIA- NEED FOR INTERVENTION. | BONIFACE et al.(17) | One of the factors associated with mortality was the time of attention from the accident to the arrival to the hospital of 2-10 hours. | P=0,000 | Factors associated with mortality in six hospitals in Tanzania. | We found that AT is the most frequent cause of injury in this country. | The importance of AT itself is not emphasized. |
2009 | Does increased emergency medical services prehospital time affect patient mortality in rural motor vehicle crashes? A statewide analysis | GONZALES et al.(10) | Higher mortality was associated with a longer response time in rural rather than urban areas. | P=0,0001 | Seeks association between rural prehospital times in relation to mortality. | It emphasizes the time variable. | It does not take into account other variables that the patient may have. |
Thanks: To Dr. Jhony A. De La Cruz-Vargas for his patience and contribution as supervisor and reviewer of this article.
Authorship contributions: The authors participate in the genesis of the idea, project design, data collecti on and interpretation, analysis of results, preparation of the manuscript.
Financing: Self-financed.
Conflict of interest: Authors declare no conflict of interest.
Received: 09 December del 2019
Approved: 27 December del 2019