Progress in reaching zero-dose children: analysis of population-modifiable risk factors and inequity trends in low- and lower-middle-income countries.

IF 5.2 2区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Firew Tekle Bobo, Abdi Gari Negasa, Hawi Tekle Bobo, Kiddus Yitbarek, Girmaye Dinsa, Mirkuzie Woldie
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引用次数: 0

Abstract

Background: Zero-dose (ZD) children remain concentrated in low- and lower-middle-income countries (LLMICs) and are a major focus of the Immunization Agenda 2030 (IA2030), which aims to halve their number by 2030. Despite this commitment, progress has stalled in many high-burden settings. This study aimed to examine progress in reaching ZD children, trends in wealth-related inequity, and key population-modifiable risk factors across LLMICs over the past decade.

Methods: We analysed two rounds of the most recent Demographic and health survey (DHS) datasets from ten LLMICs to assess progress in reducing the number of ZD children. Countries were included based on the availability of post-2020 survey rounds. ZD children were defined as children aged 12-23 months who had not received any dose of BCG, DTP-containing, polio, or measles-containing vaccines. The concentration index was used to assess wealth-related inequities. Multilevel logistic regression models were used to identify modifiable risk factors associated with ZD status. The population attributable fraction (PAF) was calculated using odds ratios and prevalence estimates to quantify the contribution of modifiable risk factors.

Results: ZD prevalence increased significantly in five of ten countries - Mozambique (4.8% to 14.2%), Côte d'Ivoire (4.9% to 8.7%), Nepal (0.8% to 4.5%), Tanzania (2.3% to 4.4%), and Madagascar (13.3% to 18.1%) - while no statistically significant change was observed in the remaining five. Wealth-related inequities were significant in most countries, with ZD children disproportionately concentrated in the poorest households. Home delivery had the highest PAF for ZD (17.1%; 95% CI: 14.1-19.6), followed by fewer than four ANC contacts (8.6%; 95% CI: 7.2-10.0) and non-use of contraceptives (6.9%; 95% CI: 5.3-8.5). The combined contribution of reproductive and maternal health services was (PAF = 29.4%; 95% CI: 24.5-33.7). Socioeconomic factors included lack of maternal education (4.4%; 95% CI: 2.6-6.1) and not listening to the radio (2.7%; 95% CI: 0.4-4.6).

Conclusion: Progress in reaching ZD children in low- and lower-middle-income countries has declined. A renewed commitment and continued effort are needed to reach ZD children in these regions by improving access to health services and addressing the socioeconomic challenges of families.

达到零剂量儿童方面的进展:低收入和中低收入国家人口可改变的风险因素和不平等趋势分析。
背景:零剂量儿童仍然集中在低收入和中低收入国家(LLMICs),并且是2030年免疫议程(IA2030)的一个主要重点,该议程的目标是到2030年将零剂量儿童数量减半。尽管作出了这一承诺,但在许多高负担环境中进展停滞不前。本研究旨在检查过去十年中低收入国家在帮助患病儿童方面取得的进展、与财富相关的不平等趋势以及主要的人口可改变风险因素。方法:我们分析了来自十个低收入中等收入国家的最新两轮人口与健康调查(DHS)数据集,以评估在减少ZD儿童数量方面取得的进展。国家是根据2020年后调查轮次的可得性纳入的。ZD儿童被定义为12-23个月的儿童,他们没有接种任何剂量的卡介苗、含百白破、脊髓灰质炎或含麻疹疫苗。集中度指数被用来评估与财富相关的不平等。使用多水平逻辑回归模型来识别与ZD状态相关的可改变危险因素。人口归因分数(PAF)使用比值比和患病率估计来量化可改变危险因素的贡献。结果:ZD患病率在10个国家中的5个国家显著增加——莫桑比克(4.8%至14.2%)、Côte科特迪瓦(4.9%至8.7%)、尼泊尔(0.8%至4.5%)、坦桑尼亚(2.3%至4.4%)和马达加斯加(13.3%至18.1%)——而其余5个国家没有观察到统计学上显著的变化。与财富相关的不平等在大多数国家都很严重,残疾儿童不成比例地集中在最贫穷的家庭。家中分娩对ZD的PAF最高(17.1%;95% CI: 14.1-19.6),其次是少于4次ANC接触(8.6%;95% CI: 7.2-10.0)和未使用避孕措施(6.9%;95% CI: 5.3-8.5)。生殖和孕产妇保健服务的综合贡献为(PAF = 29.4%; 95% CI: 24.5-33.7)。社会经济因素包括缺乏母亲教育(4.4%;95% CI: 2.6-6.1)和不听广播(2.7%;95% CI: 0.4-4.6)。结论:在低收入和中低收入国家,为儿童提供治疗的进展有所下降。需要重新作出承诺并继续努力,通过改善获得保健服务的机会和解决家庭的社会经济挑战,为这些地区的儿童提供服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.80
自引率
4.20%
发文量
162
审稿时长
28 weeks
期刊介绍: International Journal for Equity in Health is an Open Access, peer-reviewed, online journal presenting evidence relevant to the search for, and attainment of, equity in health across and within countries. International Journal for Equity in Health aims to improve the understanding of issues that influence the health of populations. This includes the discussion of political, policy-related, economic, social and health services-related influences, particularly with regard to systematic differences in distributions of one or more aspects of health in population groups defined demographically, geographically, or socially.
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