Siddiquee Tanjim, Halder Henry Ratul, Islam Md Akhtarul
Statistics Discipline, Khulna University, Khulna, Bangladesh.
Fam Med Community Health. 2019 Dec 18;7(4):e000008. doi: 10.1136/fmch-2018-000008. eCollection 2019.
To identify the associated factors affecting the decision regarding institutional delivery for pregnant women in 14 low- and middle-income countries (LMICs).
A special mixed-method design was used to combine cross-sectional studies for harmonising data from Bangladesh and 13 other countries to obtain extended viewpoints on non-utilisation of institutional healthcare facilities during childbirth.
Demographic and Health Survey (DHS) data for 14 LMICs were used for the study.
There are several kinds of datasets in the DHS. Among them was used as this study is based on all ever-married women.
In the binary logistic and meta-analysis models for Bangladesh, ORs for birth order were 0.57 and 0.51 and for respondents' age were 1.50 and 1.07, respectively. In all 14 LMICs, the most significant factors for not using institutional facilities during childbirth were respondents' age (OR 0.903, 95% CI 0.790 to 1.032) and birth order (OR 0.371, 95% CI 0.327 to 0.421).
Birth order and respondents' age were the two most significant factors for non-utilisation of healthcare facilities during childbirth in 14 LMICs.
确定影响14个低收入和中等收入国家（LMICs）孕妇选择机构分娩的相关因素。
采用一种特殊的混合方法设计，将孟加拉国和其他13个国家的横断面研究相结合，以统一数据，从而获得关于分娩期间未利用机构医疗设施的更广泛观点。
本研究使用了14个低收入和中等收入国家的人口与健康调查（DHS）数据。
DHS中有几种数据集。本研究使用的是基于所有曾婚女性的数据集。
在孟加拉国的二元逻辑回归和荟萃分析模型中，出生顺序的比值比分别为0.57和0.51，受访者年龄的比值比分别为1.50和1.07。在所有14个低收入和中等收入国家中，分娩期间未使用机构设施的最显著因素是受访者年龄（比值比0.903，95%置信区间0.790至1.032）和出生顺序（比值比0.371，95%置信区间0.327至0.421）。
在14个低收入和中等收入国家中，出生顺序和受访者年龄是分娩期间未利用医疗设施的两个最显著因素。
