Factors affecting hospital admission and recovery stay duration of in-patient motor victims in Spain

Santolino, Miguel; Bolancé, Catalina; Alcañiz, Manuela

doi:10.1016/j.aap.2012.03.025

Cited by 20 publications

(7 citation statements)

References 61 publications

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“…The comparing of hospitalization costs should be prudent, as they were affected by many factors. Although we have not detected the factors influencing length of stay in the hospital, Santolino et al found that older men with fractures and injuries located in the head and lower torso were more likely to be hospitalized and have a longer expected hospital stay for recovery after accidents [19] . The accident types also determined the length of stay and the costs, except for the numbers of admission and the situation of rescue in-hospital.…”

Section: Discussioncontrasting

confidence: 59%

Single-vehicle and Multi-vehicle Accidents Involving Motorcycles in a Small City in China: Characteristics and Injury Patterns

Xiong¹,

2015

AIMS Public Health

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IntroductionThere is a gap that involves examining differences between patients in single-vehicle (SV) versus multi-vehicle (MV) accidents involving motorcycles in Shantou, China, regarding the injury patterns and mortality the patients sustained. This study aims to address this gap and provide a basis and reference for motorcycle injury prevention.MethodMedical record data was collected between October 2002 and June 2012 on all motorcycle injury patients admitted to a hospital in the city of Shantou of the east Guangdong province in China. Comparative analysis was conducted between patients in SV accidents and patients in MV accidents regarding demographic and clinic characteristics, mortality, and injury patterns.ResultsApproximately 48% (n = 1977) of patients were involved in SV accidents and 52% (n = 2119) were involved in MV accidents. The average age was 34 years. Collision of a motorcycle with a heavy vehicle/bus (4%) was associated with a 34 times greater risk of death (RR: 34.32; 95% CI: 17.43–67.57). Compared to patients involved in MV accidents, those involved in SV accidents were more likely to sustain a skull fracture (RR: 1.47; 95% CI: 1.22–1.77), an open head wound (RR: 1.46; 95% CI: 1.23–1.74), an intracranial injury (RR: 1.39; 95% CI: 1.26–1.53), a superficial head injury (RR: 1.37; 95% CI: 1.01–1.86), an injury to an organ (RR: 2.01; 95% CI: 1.24–3.26), and a crushing injury (RR: 1.98; 95% CI: 1.06–3.70) to the thorax or abdomen. However, they were less likely to sustain a spinal fracture (RR: 0.58; 95% CI: 0.39–0.85), a pelvic fracture (RR: 0.22; 95% CI: 0.11–0.46), an upper extremity fracture (RR: 0.75; 95% CI: 0.59–0.96), or injuries to their lower extremities, except for a dislocation, sprain, or injury to a joint or ligament (RR: 0.82; 95% CI: 0.49–1.36).ConclusionThe relative risk of death is higher for patients involved in multi-vehicle accidents than patients in single-vehicle accidents, especially when a collision involves mass vehicle(s). Injury to the head dominated motorcycle injuries. Single-vehicle accidents have a higher correlation with head injury or internal injuries to the thorax or abdomen. Multi-vehicle accidents are more correlated with extremity injuries, especially to the lower extremities or external trauma to the thorax or abdomen.

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Section: Discussioncontrasting

confidence: 59%

Single-vehicle and Multi-vehicle Accidents Involving Motorcycles in a Small City in China: Characteristics and Injury Patterns

Xiong¹,

2015

AIMS Public Health

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“…In particular, the number of work disability days is used to evaluate the temporary disability compensation. The data set has been previously used for other purposes in Boucher and Santolino (2010), Santolino et al (2012) and Ayuso et al (2016).…”

Section: The Datamentioning

confidence: 99%

A finite mixture of multiple discrete distributions for modelling heaped count data

Bermdez

Karlis

Santolino

2017

Computational Statistics & Data Analysis

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A new modelling approach, based on finite mixtures of multiple discrete distributions of different multiplicities, is proposed to fit data with a lot of periodic spikes in certain values. An EM algorithm is provided in order to ensure the models' ease-of-fit and then a simulation study is presented to show its efficiency. A numerical application with a real data set involving the length, measured in days, of inability to work after an accident occurs is treated. The main finding is that the model provides a very good fit when working week, calendar week and month multiplicities are taken into account.

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“…La muestra, que fue facilitada por una entidad aseguradora (en el marco del seguro obligatorio de vehículos, la víctima de tránsito tiene derecho al cobro de una indemnización por los días que permanece en el hospital), ha sido utilizada ya en trabajos previos. 9,10 El universo de entidades en el seguro de autos en España está muy atomizado; sin embargo, las cuatro más importantes -entre las que se ubica la entidad cedente de los datos-concentran más de la mitad de la cuota de mercado.…”

Section: Materials Y Métodosunclassified

“…La misma base de datos ha sido previamente utilizada en el análisis de las hospitalizaciones. 10 En aquél estudio el objetivo principal fue analizar si existen diferencias en los factores que explican la probabilidad de ser hospitalizado después de un accidente y los fac- tores que inciden en la duración de la hospitalización. Para ello se utilizó un modelo Tobit que incluía un conjunto de regresores para explicar la probabilidad de ser hospitalizado y un conjunto distinto de regresores para explicar la duración de la hospitalización; se tuvo en cuenta la dependencia que existe entre los errores de ambas regresiones y, por tanto, se eliminó el posible sesgo en la estimación.…”

Section: Materials Y Métodosunclassified

Modelización del tiempo de hospitalización en lesiones por tránsito

2015

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Objetivo. Analizar los factores sociodemográficos y de las lesiones causadas por accidentes de tránsito que influyen en el tiempo de hospitalización de las víctimas. Material y métodos. Muestra transversal de 17 932 eventos de tránsito ocurridos en España entre 2000 y 2007. Se estimaron diferentes modelos de regresión para identificar y medir la influencia de los factores. Resultados. Los hombres tienen un tiempo medio de hospitalización 41% mayor al de las mujeres. La duración de la estancia hospitalaria media aumenta cinco veces cuando existen fracturas. Las lesiones en las extremidades inferiores, la cabeza y el abdomen se asocian con mayores duraciones hospitalarias. Conclusiones. El sexo de la víctima, su edad, la posición que ocupaba en el vehículo en el momento del evento, el tipo de vehículo causante y el tipo y zona de la lesión influyen significativamente en la duración de la estancia hospitalaria.

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Factors affecting hospital admission and recovery stay duration of in-patient motor victims in Spain

Cited by 20 publications

References 61 publications

Single-vehicle and Multi-vehicle Accidents Involving Motorcycles in a Small City in China: Characteristics and Injury Patterns

Single-vehicle and Multi-vehicle Accidents Involving Motorcycles in a Small City in China: Characteristics and Injury Patterns

A finite mixture of multiple discrete distributions for modelling heaped count data

Modelización del tiempo de hospitalización en lesiones por tránsito

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