奶妈对婴儿健康的影响:利用大数据和机器学习为具有成本效益的目标选择提供信息。

IF 2 3区 医学 Q2 ECONOMICS
Health economics Pub Date : 2024-03-10 DOI:10.1002/hec.4821
Evan D. Peet, Dana Schultz, Susan Lovejoy, Fuchiang (Rich) Tsui
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引用次数: 0

摘要

朵拉服务是一种未得到充分利用的母婴健康干预措施,通过提供身体、情感和信息支持,有可能改善治疗效果。然而,尽管孕产妇和婴儿健康之间的联系已得到证实,但有关朵拉对婴儿健康影响的证据却很有限。此外,由于朵拉的可用性有限,而且通常不在保险公司的承保范围内,现有证据尚不清楚是否或如何分配朵拉服务才能最大程度地改善结果。我们利用独特的数据和机器学习来开发婴儿健康和朵拉服务参与度的精确预测模型。然后,我们将这些预测模型与双重机器学习方法相结合,以估算朵拉服务的效果。我们表明,虽然朵拉服务平均降低了风险,但随着婴儿健康负面结果风险的增加,朵拉服务的益处也在增加。我们将这些收益与其他分配方案下的朵拉服务成本进行了比较,结果表明,利用风险预测可显著提高朵拉服务的成本效益。我们的研究结果表明,大数据和新颖的分析方法有潜力为最有可能出现不良后果的人群提供具有成本效益的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The infant health effects of doulas: Leveraging big data and machine learning to inform cost-effective targeting

Doula services represent an underutilized maternal and child health intervention with the potential to improve outcomes through the provision of physical, emotional, and informational support. However, there is limited evidence of the infant health effects of doulas despite well-established connections between maternal and infant health. Moreover, because the availability of doulas is limited and often not covered by insurers, existing evidence leaves unclear if or how doula services should be allocated to achieve the greatest improvements in outcomes. We use unique data and machine learning to develop accurate predictive models of infant health and doula service participation. We then combine these predictive models within the double machine learning method to estimate the effects of doula services. We show that while doula services reduce risk on average, the benefits of doula services increase as the risk of negative infant health outcomes increases. We compare these benefits to the costs of doula services under alternative allocation schemes and show that leveraging the risk predictions dramatically increases the cost effectiveness of doula services. Our results show the potential of big data and novel analytic methods to provide cost-effective support to those at greatest risk of poor outcomes.

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来源期刊
Health economics
Health economics 医学-卫生保健
CiteScore
3.60
自引率
4.80%
发文量
177
审稿时长
4-8 weeks
期刊介绍: This Journal publishes articles on all aspects of health economics: theoretical contributions, empirical studies and analyses of health policy from the economic perspective. Its scope includes the determinants of health and its definition and valuation, as well as the demand for and supply of health care; planning and market mechanisms; micro-economic evaluation of individual procedures and treatments; and evaluation of the performance of health care systems. Contributions should typically be original and innovative. As a rule, the Journal does not include routine applications of cost-effectiveness analysis, discrete choice experiments and costing analyses. Editorials are regular features, these should be concise and topical. Occasionally commissioned reviews are published and special issues bring together contributions on a single topic. Health Economics Letters facilitate rapid exchange of views on topical issues. Contributions related to problems in both developed and developing countries are welcome.
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