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巴基斯坦产前诊所就诊女性意外怀孕的患病率及其决定因素。

Prevalence and determinants of unintended pregnancies amongst women attending antenatal clinics in Pakistan.

作者信息

Habib Muhammad Atif, Raynes-Greenow Camille, Nausheen Sidrah, Soofi Sajid Bashir, Sajid Muhammad, Bhutta Zulfiqar A, Black Kirsten I

机构信息

Discipline of Obstetrics, Gynaecology and Neonatology, Central Clinical School, University of Sydney, Sydney, NSW, 2006, Australia.

Women and Child Health Division, Aga Khan University, Karachi, Pakistan.

出版信息

BMC Pregnancy Childbirth. 2017 May 30;17(1):156. doi: 10.1186/s12884-017-1339-z.

Abstract

BACKGROUND

Unintended pregnancies are a global public health concern and contribute significantly to adverse maternal and neonatal health, social and economic outcomes and increase the risks of maternal deaths and neonatal mortality. In countries like Pakistan where data for the unintended pregnancies is scarce, studies are required to estimate its accurate prevalence and predictors using more specific tools such as the London Measure of Unplanned Pregnancies (LMUP).

METHODS

We conducted a hospital based cross sectional survey in two tertiary care hospitals in Pakistan. We used a pre tested structured questionnaire to collect the data on socio-demographic characteristics, reproductive history, awareness and past experience with contraceptives and unintended pregnancies using six item the LMUP. We used Univariate and multivariate analysis to explore the association between unintended pregnancies and predictor variables and presented the association as adjusted odds ratios. We also evaluated the psychometric properties of the Urdu version of the LMUP.

RESULTS

Amongst 3010 pregnant women, 1150 (38.2%) pregnancies were reported as unintended. In the multivariate analysis age < 20 years (AOR 3.5 1.1-6.5), being illiterate (AOR 1.9 1.1-3.4), living in a rural setting (1.7 1.2-2.3), having a pregnancy interval of = < 12 months (AOR 1.7 1.4-2.2), having a parity of >2 (AOR 1.4 1.2-1.8), having no knowledge about contraceptive methods (AOR 3.0 1.7-5.4) and never use of contraceptive methods (AOR 2.3 1.4-5.1) remained significantly associated with unintended pregnancy. The Urdu version of the LMUP scale was found to be acceptable, valid and reliable with the Cronbach's alpha of 0.85.

CONCLUSIONS

This study explores a high prevalence of unintended pregnancies and important factors especially those related to family planning. Integrated national family program that provides contraceptive services especially the modern methods to women during pre-conception and post-partum would be beneficial in averting unintended pregnancies and their related adverse outcomes in Pakistan.

摘要

背景

意外怀孕是一个全球公共卫生问题,对孕产妇和新生儿的健康、社会和经济结果有重大影响,并增加孕产妇死亡和新生儿死亡率的风险。在巴基斯坦这样意外怀孕数据匮乏的国家,需要开展研究,使用更具体的工具,如伦敦意外怀孕衡量标准(LMUP),来估计其准确患病率和预测因素。

方法

我们在巴基斯坦的两家三级护理医院开展了一项基于医院的横断面调查。我们使用预先测试的结构化问卷,通过LMUP的六个项目收集社会人口学特征、生殖史、对避孕方法的知晓情况以及过去意外怀孕经历的数据。我们使用单变量和多变量分析来探讨意外怀孕与预测变量之间的关联,并将该关联表示为调整后的比值比。我们还评估了LMUP乌尔都语版本的心理测量特性。

结果

在3010名孕妇中,有1150例(38.2%)怀孕被报告为意外怀孕。在多变量分析中,年龄<20岁(调整后的比值比为3.5,95%置信区间为1.1 - 6.5)、文盲(调整后的比值比为1.9,95%置信区间为1.1 - 3.4)、生活在农村地区(调整后的比值比为1.7,95%置信区间为1.2 - 2.3)、怀孕间隔<=12个月(调整后的比值比为1.7,95%置信区间为1.4 - 2.2)、产次>2(调整后的比值比为1.4,95%置信区间为1.2 - 1.8)、对避孕方法不了解(调整后的比值比为3.0,95%置信区间为1.7 - 5.4)以及从未使用过避孕方法(调整后的比值比为2.3,95%置信区间为1.4 - 5.1)与意外怀孕仍有显著关联。LMUP量表的乌尔都语版本被发现是可接受的、有效的和可靠的,克朗巴哈系数为0.85。

结论

本研究发现意外怀孕的患病率很高,并确定了重要因素,尤其是与计划生育相关的因素。在巴基斯坦,实施综合的国家家庭计划,在孕前和产后为妇女提供避孕服务,特别是现代避孕方法,将有助于避免意外怀孕及其相关不良后果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b9c/5450067/8842bb693400/12884_2017_1339_Fig1_HTML.jpg

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