Foundation for Research in Health Systems, G-1, Brigade Business Suites, 10th Main, Jayanagar 2nd Block, Bengaluru, 560011, India.
All of Us Research Program, National Institutes of Health, Bethesda, MD, USA.
Matern Child Health J. 2019 Dec;23(12):1658-1669. doi: 10.1007/s10995-019-02805-5.
Objectives mHealth interventions for MNCH have been shown to improve uptake of antenatal and neonatal services in low- and middle-income countries (LMICs). However, little systematic analysis is available about their impact on infant health outcomes, such as reducing low birth weight or malnutrition among children under the age of five. The objective of this study is to determine if an age- and stage-based mobile phone voice messaging initiative for women, during pregnancy and up to 1 year after delivery, can reduce low birth weight and child malnutrition and improve women's infant care knowledge and practices. Methods We conducted a pseudo-randomized controlled trial among pregnant women from urban slums and low-income areas in Mumbai, India. Pregnant women, 18 years and older, speaking Hindi or Marathi were enrolled and assigned to receive mMitra messages (intervention group N = 1516) or not (Control group N = 500). Women in the intervention group received mMitra voice messages two times per week throughout their pregnancy and until their infant turned 1 year of age. Infant's birth weight, anthropometric data at 1 year of age, and status of immunization were obtained from Maternal Child Health (MCH) cards to assess impact on primary infant health outcomes. Women's infant health care practices and knowledge were assessed through interviews administered immediately after women enrolled in the study (Time 1), after they delivered their babies (Time 2), and after their babies turned 1 year old (Time 3). 15 infant care practices self-reported by women (Time 3) and knowledge on ten infant care topics (Time 2) were also compared between intervention and control arms. Results We observed a trend for increased odds of a baby being born at or above the ideal birth weight of 2.5 kg in the intervention group compared to controls (odds ratio (OR) 1.334, 95% confidence interval (CI) 0.983-1.839, p = 0.064). The intervention group performed significantly better on two infant care practice indicators: giving the infant supplementary feeding at 6 months of age (OR 1.4, 95% CI 1.08-1.82, p = 0.009) and fully immunizing the infant as prescribed under the Government of India's child immunization program (OR 1.531, 95% CI 1.141-2.055, p = 0.005). Women in the intervention group had increased odds of knowing that the baby should be given solid food by 6 months (OR 1.89, 95% CI 1.371-2.605, p < 0.01), that the baby needs to be given vaccines (OR 1.567, 95% CI 1.047-2.345, p = 0.028), and that the ideal birth weight is > 2.5 kg (OR 2.279, 95% CI 1.617-3.213, p < 0.01). Conclusions for Practice This study provides robust evidence that tailored mobile voice messages can significantly improve infant care practices and maternal knowledge that can positively impact infant child health. Furthermore, this is the first prospective study of a voice-based mHealth intervention to demonstrate a positive impact on infant birth weight, a health outcome of public health importance in many LMICs.
目的: 已有的研究表明,针对母婴健康(MNCH)的移动医疗干预措施可提高中低收入国家(LMIC)的产前和新生儿服务利用率。然而,关于其对婴儿健康结果(如降低五岁以下儿童的低出生体重或营养不良)影响的系统分析却很少。本研究旨在确定一项基于年龄和阶段的针对孕妇的手机语音信息干预措施(在怀孕期间和分娩后 1 年内)是否可以降低低出生体重和儿童营养不良,并提高妇女对婴儿护理的知识和实践。
方法: 我们在印度孟买的城市贫民窟和低收入地区进行了一项伪随机对照试验。招募了年龄在 18 岁及以上、会说印地语或马拉地语的孕妇,并将其随机分配至接受 mMitra 消息(干预组 N=1516)或不接受(对照组 N=500)。干预组中的女性在怀孕期间每周接收两次 mMitra 语音消息,直到她们的婴儿满 1 岁。从母婴保健(MCH)卡中获得婴儿的出生体重、1 岁时的人体测量数据以及免疫状况,以评估对主要婴儿健康结果的影响。通过访谈评估妇女的婴儿护理实践和知识,访谈在妇女刚入组研究时(时间 1)、分娩后(时间 2)以及婴儿满 1 岁时(时间 3)进行。还比较了干预组和对照组在妇女报告的 15 项婴儿护理实践(时间 3)和 10 项婴儿护理主题的知识(时间 2)之间的差异。
结果: 与对照组相比,干预组婴儿出生体重达到或超过理想体重 2.5 公斤的可能性呈增加趋势(优势比(OR)1.334,95%置信区间(CI)0.983-1.839,p=0.064)。干预组在两个婴儿护理实践指标上表现明显更好:在 6 个月大时给婴儿补充喂养(OR 1.4,95%CI 1.08-1.82,p=0.009)和按照印度政府的儿童免疫计划完全为婴儿接种疫苗(OR 1.531,95%CI 1.141-2.055,p=0.005)。干预组的女性更有可能知道婴儿应在 6 个月时添加固体食物(OR 1.89,95%CI 1.371-2.605,p<0.01)、婴儿需要接种疫苗(OR 1.567,95%CI 1.047-2.345,p=0.028)和理想出生体重>2.5 公斤(OR 2.279,95%CI 1.617-3.213,p<0.01)。
结论: 这项研究提供了有力的证据,表明量身定制的移动语音消息可以显著改善婴儿护理实践和产妇知识,从而对婴儿健康产生积极影响。此外,这是首个前瞻性研究表明基于语音的移动医疗干预措施可对婴儿出生体重产生积极影响,而出生体重是许多 LMIC 中公共卫生的重要健康结果。
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