Hakim Shariful, Chowdhury Muhammad Abdul Baker, Ahmed Zobayer, Uddin Md Jamal
Department of Statistics, Shahjalal University of Science & Technology, Sylhet, Bangladesh.
Chander Hat Degree College, Nilphamari, Bangladesh.
PLOS Glob Public Health. 2022 Jul 25;2(7):e0000164. doi: 10.1371/journal.pgph.0000164. eCollection 2022.
Identifying high-risk pregnancies through antenatal care (ANC) is considered the cornerstone to eliminating child deaths and improving maternal health globally. Understanding the factors that influence a healthcare facility's (HCF) preparedness to provide ANC service is essential for assisting maternal and newborn health system progress. We aimed to evaluate the preparedness of HCFs to offer ANC services among childbearing women in Bangladesh and investigate the facility characteristics linked to the preparedness. The data for this study came from two waves of the Bangladesh Health Facilities Survey (BHFS), conducted in 2014 and 2017 using a stratified random sample of facilities. The study samples were 1,508 and 1,506 HCFs from the 2014 and 2017 BHFS, respectively. The outcome variable "ANC services preparedness" was calculated as an index score using a group of tracer indicators. Multinomial logistic regression models were used to identify the significant correlates of ANC service preparedness. We found that private hospitals had a lower chance of having high preparedness than district and upazila public facilities in 2014 (RRR = 0.04, 95% CI: 0.01-0.22, p-value = <0.001) and 2017 (RRR = 0.23, 95% CI: 0.07-0.74, p-value = 0.01), respectively. HCFs from the Khulna division had a 2.84 (RRR = 2.84, CI: 1.25-6.43, p-value = 0.01) and 3.51 (RRR = 3.51, CI: 1.49-8.27, p-value = <0.001) higher likelihood of having medium and high preparedness, respectively, for ANC service compared to the facilities in the Dhaka division in 2017. The facilities that had a medium infection prevention score were 3.10 times (RRR = 3.10, 95% CI: 1.65-5.82; p-value = <0.001) and 1.89 times (RRR = 1.89, 95% CI: 1.09-3.26, p-value = 0.02) more likely to have high preparedness compared to those facilities that had a low infection prevention score in 2014 and 2017 respectively. Facilities without visual aids for client education on pregnancy and ANC were less likely to have high (RRR = 0.29, 95% CI: 0.16-0.53, p-value = <0.001) and (RRR = 0.55, 95% CI: 0.30-0.99, p-value = 0.04) preparedness, respectively, than those with visual aids for client education on pregnancy and ANC in both the surveys. At all two survey time points, facilities that did not maintain individual client cards or records for ANC clients were less likely to have high (RRR = 0.53, 95% CI: 0.31-.92, p-value = 0.02) and (RRR = 0.41, 95% CI: 0.25-0.66, p-value = <0.001) preparedness, respectively, compared to their counterparts. We conclude that most facilities lack adequate indicators for ANC service preparedness. To improve the readiness of ANC services, government authorities could focus on union-level facilities, community clinics, private facilities, and administrative divisions. They could also make sure that infection control items are available, maintain individual client cards or records for ANC clients, and also ensure ANC clients have access to visual aids.
通过产前保健(ANC)识别高危妊娠被认为是全球消除儿童死亡和改善孕产妇健康的基石。了解影响医疗机构(HCF)提供ANC服务准备情况的因素对于推动孕产妇和新生儿健康系统的进步至关重要。我们旨在评估孟加拉国医疗机构为育龄妇女提供ANC服务的准备情况,并调查与准备情况相关的机构特征。本研究的数据来自2014年和2017年进行的两轮孟加拉国卫生设施调查(BHFS),采用分层随机抽样的设施样本。2014年和2017年BHFS的研究样本分别为1508个和1506个医疗机构。结果变量“ANC服务准备情况”使用一组追踪指标计算为指数得分。使用多项逻辑回归模型来确定ANC服务准备情况的显著相关因素。我们发现,2014年私立医院相比地区和乡级公共设施,具备高准备度的可能性更低(相对风险比RRR = 0.04,95%置信区间CI:0.01 - 0.22,p值 = <0.001),2017年同样如此(RRR = 0.23,95% CI:0.07 - 0.74,p值 = 0.01)。与达卡行政区的设施相比,2017年库尔纳行政区的医疗机构提供ANC服务具备中等和高准备度的可能性分别高出2.84倍(RRR = 2.84,CI:1.25 - 6.43,p值 = 0.01)和3.51倍(RRR = 3.51,CI:1.49 - 8.27,p值 = <0.001)。2014年和2017年,与感染预防得分低的设施相比,感染预防得分中等的设施具备高准备度的可能性分别高出3.10倍(RRR = 3.10,95% CI:1.65 - 5.82;p值 = <0.001)和1.89倍(RRR = 1.89,95% CI:1.09 - 3.26,p值 = 0.02)。在两次调查中,与设有针对孕妇和ANC的客户教育视觉辅助工具的设施相比,没有此类视觉辅助工具的设施具备高准备度的可能性分别更低(RRR = 0.29,95% CI:0.16 - 0.53,p值 = <0.001)和(RRR = 0.55,95% CI:0.30 - 0.99,p值 = 0.04)。在两个调查时间点,与为ANC客户维护个人客户卡或记录的设施相比,未维护此类记录的设施具备高准备度的可能性分别更低(RRR = 0.53,95% CI:0.31 - 0.92,p值 = 0.02)和(RRR = 0.41,95% CI:0.25 - 0.66,p值 = <0.001)。我们得出结论,大多数设施缺乏足够的ANC服务准备指标。为提高ANC服务的准备程度,政府当局可关注联合级设施、社区诊所、私立设施和行政区。他们还应确保有感染控制物品,为ANC客户维护个人客户卡或记录,并确保ANC客户能够使用视觉辅助工具。