Mandacaru Polyana Maria Pimenta, Andrade Ana Lucia, Rocha Marli Souza, Aguiar Fernanda Pinheiro, Nogueira Maria Sueli M, Girodo Anne Marielle, Pedrosa Ana Amélia Galas, Oliveira Vera Lídia Alves de, Alves Marta Maria Malheiros, Paixão Lúcia Maria Miana M, Malta Deborah Carvalho, Silva Marta Maria Alves, Morais Neto Otaliba Libanio de
Postgraduate Program in Tropical Medicine and Public Health, Institute of Tropical Pathology and Public Health/Federal University of Goiás, Brazil; Center for Excellence in Teaching, Research and Projects - Leide das Neves Ferreira- State Department of Health of Goiás, Brazil; Municipal Health Department of Goiânia, Brazil.
Postgraduate Program in Tropical Medicine and Public Health, Institute of Tropical Pathology and Public Health/Federal University of Goiás, Brazil.
Accid Anal Prev. 2017 Sep;106:392-398. doi: 10.1016/j.aap.2017.06.018. Epub 2017 Jul 17.
Road traffic crashes (RTC) are an important public health problem, accounting for 1.2 million deaths per year worldwide. In Brazil, approximately 40,000 deaths caused by RTC occur every year, with different trends in the Federal Units. However, these figures may be even greater if health databases are linked to police records. In addition, the linkage procedure would make it possible to qualify information from the health and police databases, improving the quality of the data regarding underlying cause of death, cause of injury in hospital records, and injury severity.
This study linked different data sources to measure the numbers of deaths and serious injuries and to estimate the percentage of corrections regarding the underlying cause of death, cause of injury, and the severity injury in victims in matched pairs from record linkage in five representative state capitals of the five macro-regions of Brazil.
This cross-sectional, population-based study used data from the Hospital Information System (HIS), Mortality Information System (MIS), and Police Road Traffic database of Belo Horizonte, Campo Grande, Curitiba, Palmas, and Teresina, for the year 2013 for Teresina, and 2012 for the other capitals. RecLink III was used to perform probabilistic record linkage by identifying matched pairs to calculate the global correction percentage of the underlying cause of death, the circumstance that caused the road traffic injury, and the injury severity of the victims in the police database.
There was a change in the cause of injury in the HIS, with an overall percentage of correction estimated at 24.4% for Belo Horizonte, 96.9% for Campo Grande, 100.0% for Palmas, and 33.2% for Teresina. The overall percentages of correction of the underlying cause of death in the MIS were 29.9%, 11.9%, 4.2%, and 33.5% for Belo Horizonte, Campo Grande, Curitiba, and Teresina, respectively. The correction of the classification of injury severity in police database were 100.0% for Belo Horizonte and Teresina, 48.0% for Campo Grande, and 51.4% for Palmas after linkage with hospital database. The linkage between mortality and police database found a percentage of correction of 29.5%, 52.3%, 4.4%, 74.3 and 72.9% for Belo Horizonte, Campo Grande, Palmas, Curitiba and Teresina, respectively in the police records.
The results showed the importance of linking records of the health and police databases for estimating the quality of data on road traffic injuries and the victims in the five capital cities studied. The true causes of death and degrees of severity of the injuries caused by RTC are underestimated in the absence of integration of health and police databases. Thus, it is necessary to define national rules and standards of integration between health and traffic databases in national and state levels in Brazil.
道路交通事故是一个重要的公共卫生问题，全球每年有120万人死于道路交通事故。在巴西，每年约有4万起因道路交通事故导致的死亡事件，各联邦单位呈现出不同的趋势。然而，如果将健康数据库与警方记录相链接，这些数字可能会更高。此外，链接程序将使健康和警方数据库中的信息得以完善，提高有关死亡根本原因、医院记录中的受伤原因以及伤害严重程度的数据质量。
本研究将不同数据源相链接，以测量死亡和重伤人数，并估计巴西五个宏观区域中五个代表性州首府通过记录链接匹配的受害者在死亡根本原因、受伤原因和伤害严重程度方面的校正百分比。
这项基于人群的横断面研究使用了贝洛奥里藏特、大坎普、库里蒂巴、帕尔马斯和特雷西纳的医院信息系统（HIS）、死亡率信息系统（MIS）以及警方道路交通数据库的数据，特雷西纳使用的是2013年的数据，其他首府使用的是2012年的数据。通过RecLink III进行概率记录链接，识别匹配对，以计算警方数据库中死亡根本原因、导致道路交通伤害的情况以及受害者伤害严重程度的总体校正百分比。
医院信息系统中受伤原因有所变化，贝洛奥里藏特的总体校正百分比估计为24.4%，大坎普为96.9%，帕尔马斯为100.0%，特雷西纳为33.2%。死亡率信息系统中，贝洛奥里藏特、大坎普、库里蒂巴和特雷西纳死亡根本原因的总体校正百分比分别为29.9%、11.9%、4.2%和33.5%。与医院数据库链接后，警方数据库中伤害严重程度分类的校正情况为：贝洛奥里藏特和特雷西纳为100.0%，大坎普为48.0%，帕尔马斯为51.4%。死亡率与警方数据库的链接显示，警方记录中，贝洛奥里藏特、大坎普、帕尔马斯、库里蒂巴和特雷西纳的校正百分比分别为29.5%、52.3%、4.4%、74.3%和72.9%。
结果表明，将健康和警方数据库记录相链接对于评估所研究的五个首府城市道路交通伤害及受害者数据质量具有重要意义。在缺乏健康和警方数据库整合的情况下，道路交通事故导致的死亡真实原因和伤害严重程度被低估。因此，有必要在巴西国家和州层面制定健康与交通数据库整合的国家规则和标准。
