Begum Afroza, Hamid Syed Abdul
Department of Statistics, University of Chittagong, Chittagong, Bangladesh.
Institute of Health Economics, University of Dhaka, Dhaka, Bangladesh.
PLOS Glob Public Health. 2023 Jul 31;3(7):e0001409. doi: 10.1371/journal.pgph.0001409. eCollection 2023.
This study examined the disparity in antenatal care (ANC) visits and institutional delivery between high-disaster-prone (HDP) and low-disaster-prone (LDP) areas, defined based on multi-hazards, in Bangladesh and assessed the influencing factors using Andersen's behavioral model. In this study, cross-sectional data of 345 mothers, who had live birth the year preceding the survey, were used from the second-round multipurpose survey of a longitudinal research project conducted in May-June 2011. Hierarchical multinomial logistic and binary logistic models were respectively used to assess the determinants of ANC contacts and choice of childbirth place. We found very low utilization of 4+ ANC visits in both HDP (20%) and LDP (15%) areas. The difference is also not significant. The strong influencing factors of receiving 4+ ANC were mother's education, household size, income, and proximity to health facility. The level of institutional delivery was also low (21%), and no significant difference between HDP (15.2%) and LDP (25.7%) was found. However, in the case of institutional delivery, significant (p-value ≤ .01) difference was found in C-section between HDP (42%) and LDP (79%). A significant (p-value ≤ .05) difference was also found in the attendance of graduate doctors/gynecologists between HDP (58%) and LDP (88%). Mothers of HDP areas were 52 percent less likely to choose institutional delivery compared to those of LDP areas. Moreover, there was 30 percent less likelihood of choosing institutional delivery with an increase in distance to the nearest health facility. Specific demand-side (e.g., awareness raising, expanding maternal voucher scheme, covering more mothers under maternal allowance, and facilitating more income-generating activities especially off-farm ones) and supply-side interventions (e.g., providing training to local traditional birth attendants, and deployment of boat-based medical teams in coastal and char areas) need to be undertaken to increase institutional delivery, especially in HDP areas. However, the ultimate solution depends on adopting long-term measures to prepare facilities ready by filling the vacant posts and reducing absenteeism. Public-private partnerships modality can also be introduced especially in the HDP areas. Policy attention is needed to introduce such interventions.
本研究考察了孟加拉国基于多种灾害定义的高灾害风险(HDP)地区和低灾害风险(LDP)地区在产前护理(ANC)就诊次数和机构分娩方面的差异,并使用安德森行为模型评估了影响因素。在本研究中,采用了2011年5月至6月进行的纵向研究项目第二轮多用途调查中345名在调查前一年有活产的母亲的横断面数据。分别使用分层多项逻辑回归模型和二元逻辑回归模型评估ANC接触次数和分娩地点选择的决定因素。我们发现,HDP地区(20%)和LDP地区(15%)接受4次及以上ANC就诊的利用率都非常低。差异也不显著。接受4次及以上ANC的主要影响因素是母亲的教育程度、家庭规模、收入以及与医疗机构的距离。机构分娩率也较低(21%),未发现HDP地区(15.2%)和LDP地区(25.7%)之间存在显著差异。然而,在机构分娩方面,HDP地区(42%)和LDP地区(79%)的剖宫产率存在显著差异(p值≤0.01)。HDP地区(58%)和LDP地区(88%)在研究生医生/妇科医生的出诊方面也存在显著差异(p值≤0.05)。与LDP地区的母亲相比,HDP地区的母亲选择机构分娩的可能性低52%。此外,随着与最近医疗机构距离的增加,选择机构分娩的可能性降低30%。需要采取具体的需求侧干预措施(如提高认识、扩大产妇代金券计划、将更多母亲纳入产妇津贴范围以及促进更多创收活动,特别是非农活动)和供给侧干预措施(如为当地传统助产士提供培训,以及在沿海和沙洲地区部署船载医疗队)来提高机构分娩率,特别是在HDP地区。然而,最终的解决方案取决于采取长期措施,通过填补空缺职位和减少旷工来使设施准备就绪。还可以引入公私伙伴关系模式,特别是在HDP地区。需要政策关注来引入此类干预措施。