Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
Faculty of Infectious and Tropical Diseases, London School of Hygiene & Tropical Medicine, Keppel Street, London, WC1E 7HT, UK.
BMC Pregnancy Childbirth. 2020 May 12;20(1):289. doi: 10.1186/s12884-020-02926-8.
Good quality maternal and newborn care at primary health facilities is essential, but in settings with high maternal and newborn mortality the evidence for the protective effect of facility delivery is inconsistent. We surveyed samples of health facilities in three settings with high maternal mortality to assess their readiness to provide routine maternal and newborn care, and proportions of women using facilities that were ready to offer good quality care. Surveys were conducted in 2012 and 2015 to assess changes over time.
Surveys were conducted in Ethiopia, the Indian state of Uttar Pradesh and Gombe State in North-Eastern Nigeria. At each facility the staffing, infrastructure and commodities were quantified. These formed components of four "signal functions" that described aspects of routine maternal and newborn care. A facility was considered ready to perform a signal function if all the required components were present. Readiness to perform all four signal functions classed a facility as ready to provide good quality routine care. From facility registers we counted deliveries and calculated the proportions of women delivering in facilities ready to offer good quality routine care.
In Ethiopia the proportion of deliveries in facilities classed as ready to offer good quality routine care rose from 40% (95% confidence interval (CI) 26-57) in 2012 to 43% (95% CI 31-56) in 2015. In Uttar Pradesh these estimates were 4% (95% CI 1-24) in 2012 and 39% (95% CI 25-55) in 2015, while in Nigeria they were 25% (95% CI 6-66) in 2012 and zero in 2015. Improved facility readiness in Ethiopia and Uttar Pradesh arose from increased supplies of commodities, while in Nigeria facility readiness fell due to depleted commodity supplies and fewer Skilled Birth Attendants.
This study quantified the readiness of health facilities to offer good quality routine maternal and newborn care, and may help explain inconsistent outcomes of facility care in some settings. Signal function methodology can provide a rapid and inexpensive measure of such facility readiness. Incorporating data on facility deliveries and repeating the analyses highlighted adjustments that could have greatest impact upon routine maternal and newborn care.
初级卫生保健机构提供优质的母婴保健服务至关重要,但在孕产妇和新生儿死亡率较高的环境中,设施分娩对保护母婴的效果证据并不一致。我们对三个孕产妇和新生儿死亡率较高的环境中的卫生机构样本进行了调查,以评估它们提供常规母婴保健服务的准备情况,以及使用有能力提供优质护理的机构的妇女比例。这些调查是在 2012 年和 2015 年进行的,以评估随时间的变化。
调查在埃塞俄比亚、印度北方邦和尼日利亚东北部的贡贝州进行。在每个机构中,人员配备、基础设施和商品都进行了量化。这些构成了描述常规母婴保健服务各个方面的四个“信号功能”的组成部分。如果所有必需的组成部分都存在,则认为该机构有能力执行该信号功能。能够执行所有四个信号功能的机构被认为有能力提供优质的常规护理。我们从机构登记册中计算了分娩数量,并计算了在能够提供优质常规护理的机构中分娩的妇女比例。
在埃塞俄比亚,能够提供优质常规护理的机构提供的分娩比例从 2012 年的 40%(95%置信区间(CI)26-57)上升到 2015 年的 43%(95% CI 31-56)。在北方邦,2012 年的这些估计值为 4%(95% CI 1-24),而 2015 年为 39%(95% CI 25-55),而在尼日利亚,2012 年为 25%(95% CI 6-66),而 2015 年为零。埃塞俄比亚和北方邦的医疗机构准备情况的改善是由于商品供应的增加,而尼日利亚的医疗机构准备情况的下降是由于商品供应的枯竭和熟练助产士的减少。
本研究量化了卫生机构提供优质常规母婴保健服务的准备情况,这可能有助于解释在某些环境中设施护理结果不一致的原因。信号功能方法可以快速、廉价地衡量这种机构准备情况。纳入有关机构分娩的数据并重复分析突出了对常规母婴保健产生最大影响的调整。