Hirose Atsumi, Borchert Matthias, Cox Jonathan, Alkozai Ahmad Shah, Filippi Veronique
PhD programme, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK.
BMC Pregnancy Childbirth. 2015 Feb 5;15:14. doi: 10.1186/s12884-015-0435-1.
Women's delays in reaching emergency obstetric care (EmOC) facilities contribute to high maternal and perinatal mortality and morbidity in low-income countries, yet few studies have quantified travel times to EmOC and examined delays systematically. We defined a delay as the difference between a woman's travel time to EmOC and the optimal travel time under the best case scenario. The objectives were to model travel times to EmOC and identify factors explaining delays. i.e., the difference between empirical and modelled travel times.
A cost-distance approach in a raster-based geographic information system (GIS) was used for modelling travel times. Empirical data were obtained during a cross-sectional survey among women admitted in a life-threatening condition to the maternity ward of Herat Regional Hospital in Afghanistan from 2007 to 2008. Multivariable linear regression was used to identify the determinants of the log of delay.
Amongst 402 women, 82 (20%) had no delay. The median modelled travel time, reported travel time, and delay were 1.0 hour [Q1-Q3: 0.6, 2.2], 3.6 hours [Q1-Q3: 1.0, 12.0], and 2.0 hours [Q1-Q3: 0.1, 9.2], respectively. The adjusted ratio (AR) of a delay of the "one-referral" group to the "self-referral" group was 4.9 [95% confidence interval (CI): 3.8-6.3]. Difficulties obtaining transportation explained some delay [AR 2.1 compared to "no difficulty"; 95% CI: 1.5-3.1]. A husband's very large social network (> = 5 people) doubled a delay [95% CI: 1.1-3.7] compared to a moderate (3-4 people) network. Women with severe infections had a delay 2.6 times longer than those with postpartum haemorrhage (PPH) [95% CI: 1.4-4.9].
Delays were mostly explained by the number of health facilities visited. A husband's large social network contributed to a delay. A complication with dramatic symptoms (e.g. PPH) shortened a delay while complications with less-alarming symptoms (e.g. severe infection) prolonged it. In-depth investigations are needed to clarify whether time is spent appropriately at lower-level facilities. Community members need to be sensitised to the signs and symptoms of obstetric complications and the urgency associated with them. Health-enhancing behaviours such as birth plans should be promoted in communities.
在低收入国家,妇女延迟前往紧急产科护理(EmOC)机构会导致孕产妇和围产期的高死亡率及发病率,但很少有研究对前往EmOC的出行时间进行量化并系统地研究延迟情况。我们将延迟定义为妇女前往EmOC的出行时间与最佳情况下的最佳出行时间之差。目标是对前往EmOC的出行时间进行建模,并确定解释延迟的因素,即实际出行时间与建模出行时间之间的差异。
在基于栅格的地理信息系统(GIS)中采用成本距离法对出行时间进行建模。经验数据来自2007年至2008年在阿富汗赫拉特地区医院产科病房因危及生命情况入院的妇女的横断面调查。采用多变量线性回归来确定延迟对数的决定因素。
在402名妇女中,82名(20%)没有延迟。建模出行时间中位数、报告的出行时间和延迟分别为1.0小时[四分位距(Q1-Q3):0.6,2.2]、3.6小时[Q1-Q3:1.0,12.0]和2.0小时[Q1-Q3:0.1,9.2]。“一次转诊”组与“自我转诊”组延迟的调整比值(AR)为4.9[95%置信区间(CI):3.8-6.3]。获取交通工具有困难解释了部分延迟情况[与“无困难”相比,AR为2.1;95%CI:1.5-3.1]。与中等规模(3-4人)社交网络相比,丈夫拥有非常庞大的社交网络(≥5人)会使延迟增加一倍[95%CI:1.1-3.7]。患有严重感染的妇女的延迟时间比产后出血(PPH)妇女长2.6倍[95%CI:1.4-4.9]。
延迟主要由就诊的医疗机构数量所解释。丈夫庞大的社交网络会导致延迟。具有明显症状的并发症(如PPH)会缩短延迟时间,而症状不太令人担忧的并发症(如严重感染)则会延长延迟时间。需要进行深入调查以澄清在基层医疗机构的时间是否得到合理利用。需要提高社区成员对产科并发症的体征和症状以及与之相关的紧迫性的认识。应在社区推广诸如生育计划等促进健康的行为。