Department for Population Health and Health Services Research, National Institute for Public Health and the Environment, Bilthoven, Netherlands
Health Campus The Hague/Department of Public Health and Primary Care, Leiden University Medical Center, The Hague, Netherlands.
BMJ Open. 2024 May 16;14(5):e083927. doi: 10.1136/bmjopen-2024-083927.
To assess the reporting and methodological quality of early-life policy intervention papers that applied difference-in-differences (DiD) analysis.
Systematic review.
Papers applying DiD of early-life policy interventions in high-income countries as identified by searching Medline, Embase and Scopus databases up to December, 2022.
STUDY ELIGIBILITY CRITERIA, PARTICIPANTS AND INTERVENTIONS: Studies evaluating policy interventions targeting expectant mothers, infants or children up to two years old and conducted in high income countries were included. We focused on seven critical conditions of DiD as proposed in a comprehensive checklist: data requirements, parallel trends, no-anticipation, standard statistical assumptions, common shocks, group composition and spillover.
The DiD included studies (n=19) evaluating early-life policy interventions in childhood development (n=4), healthcare utilisation and providers (n=4), nutrition programmes (n=3) and economic policies such as prenatal care expansion (n=8). Although none of the included studies met all critical conditions, the most reported and adhered to critical conditions were data requirements (n=18), standard statistical assumptions (n=11) and the parallel trends assumption (n=9). No-anticipation and spillover were explicitly reported and adhered to in two studies and one study, respectively.
This review highlights current deficiencies in the reporting and methodological quality of studies using DiD to evaluate early-life policy interventions. As the validity of study conclusions and consequent implications for policy depend on the extent to which critical conditions are met, this shortcoming is concerning. We recommend that researchers use the described checklist to improve the transparency and validity of their evaluations. The checklist should be further refined by adding order of importance or knock-out criteria and may also help facilitate uniform terminology. This will hopefully encourage reliable DiD evaluations and thus contribute to better policies relating to expectant mothers, infants and children.
评估应用双重差分(Difference-in-Differences,DiD)分析的早期生命政策干预研究报告和方法学质量。
系统综述。
通过搜索 Medline、Embase 和 Scopus 数据库,截至 2022 年 12 月,确定应用于高收入国家早期生命政策干预的 DiD 论文。
研究入选标准、参与者和干预措施:纳入评估针对孕妇、婴儿或 2 岁以下儿童的政策干预措施的研究,研究在高收入国家进行。我们重点关注综合清单中提出的 DiD 的七个关键条件:数据要求、平行趋势、无预期、标准统计假设、共同冲击、群体构成和溢出。
纳入的 DiD 研究(n=19)评估了儿童发展(n=4)、医疗保健利用和提供者(n=4)、营养计划(n=3)以及产前保健扩展等经济政策(n=8)的早期生命政策干预。尽管没有一项纳入的研究满足所有关键条件,但报告和遵守最多的关键条件是数据要求(n=18)、标准统计假设(n=11)和平行趋势假设(n=9)。无预期和溢出分别在两项和一项研究中明确报告和遵守。
本综述强调了目前使用 DiD 评估早期生命政策干预的研究报告和方法学质量的不足之处。由于研究结论的有效性以及对政策的相应影响取决于关键条件的满足程度,因此这一缺陷令人担忧。我们建议研究人员使用描述性清单来提高他们的评估的透明度和有效性。该清单可以通过添加重要性顺序或淘汰标准进一步完善,也可能有助于促进统一的术语。这有望鼓励可靠的 DiD 评估,从而为与孕妇、婴儿和儿童有关的政策提供更好的支持。