Simões Patricia Passos, Almeida Renan Moritz V R
Programa de Engenharia Biomédica, COPPE, Universidade Federal do Rio de Janeiro, Caixa Postal 68510, Cidade Universitária, Rio de Janeiro, RJ, 21941-970, Brazil.
Matern Child Health J. 2014 Aug;18(6):1506-11. doi: 10.1007/s10995-013-1391-x.
This study analyzed the relationship between maternal mortality and variables related to the use of health services (especially residence-hospital traveled distances estimated through transit networks). Deaths were identified for Rio de Janeiro and adjacent cities, from 2000 to 2002, and were matched by age and socio-economic level to birth admissions without maternal deaths (1 case to 3 controls). The variables used were: type of hospital (general × specialized maternity services), number of hospital beds, nature of hospital ownership (public × private-associated), main admission diagnostic, residence-hospital distance, age, income, and education. Distances were estimated by a geographic information system, and were based on most probable itineraries through the urban transit networks. The probability of death was estimated by conditional logistic regression models. 226 maternal deaths were studied, and another 10 were excluded due to incompleteness of information. The ROC area for the final model was 0.89 [95% CI (0.87-0.92)]. This model retained statistical significance for the variables admission diagnostic, type of hospital and residence-hospital distance. The death odds ratio for women who traveled 5-10 km (reference category: <5 km) was 3.84 [95% CI (1.96-7.55)]. The traveled distance measured through transit networks was an important risk factor for death in the studied population.
本研究分析了孕产妇死亡率与卫生服务利用相关变量(特别是通过交通网络估算的居住地与医院之间的距离)之间的关系。确定了2000年至2002年里约热内卢及周边城市的死亡病例,并按年龄和社会经济水平与无孕产妇死亡的分娩入院病例进行匹配(1例病例配3例对照)。所使用的变量包括:医院类型(综合医院×专科产科服务)、医院床位数、医院所有权性质(公立×私立联营)、主要入院诊断、居住地与医院的距离、年龄、收入和教育程度。距离由地理信息系统估算,并基于城市交通网络中最可能的行程。死亡概率通过条件逻辑回归模型估算。共研究了226例孕产妇死亡病例,另有10例因信息不完整而被排除。最终模型的ROC曲线下面积为0.89 [95%置信区间(0.87 - 0.92)]。该模型中入院诊断、医院类型和居住地与医院的距离等变量具有统计学意义。行程为5 - 10公里的女性的死亡比值比(参考类别:<5公里)为3.84 [95%置信区间(1.96 - 7.55)]。通过交通网络测量的行程距离是研究人群死亡的一个重要风险因素。