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首页> 外文期刊>International Journal of Population Data Science >Conducting Population Health Intervention Research using Linked Databases: An Evaluation of Home Visiting Programs for At-Risk Families
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Conducting Population Health Intervention Research using Linked Databases: An Evaluation of Home Visiting Programs for At-Risk Families

机译:使用链接的数据库进行人口健康干预研究:对有风险家庭的家庭访问计划的评估

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ABSTRACTObjectiveThe objective of this population health intervention research was to determine the effectiveness in improving children’s outcomes of a provincial home visiting program for at-risk families in Manitoba, Canada. Home visiting programs have been evaluated in highly structured and supervised conditions which may provide different results than those evaluated in real-world delivery systems. ApproachIn this retrospective cohort study, data for 4,562 children from home visiting program families and 5,184 comparison children were linked to de-identified administrative health, social services, and education data held securely at the Manitoba Centre for Health Policy. Inverse probability of treatment weights were used to address the selection bias inherent in delivering a voluntary program. We used generalized linear modelling to calculate program effects among those exposed to the program, those unexposed and the average effect. Child outcomes examined included being taken into care of child welfare, hospitalizations for maltreatment-related injuries, and child development scores at school entry. ResultsThe home visiting program was associated with lower rates of children being taken into care and lower rates of hospitalization for maltreatment-related injuries. For being taken into care by child’s first birthday, the adjusted Risk Ratio (aRR) was 0.75 (95% Confidence Interval [CI]: 0.66, 0.86); for being taken into care by second birthday, aRR=0.79, (95% CI: 0.70, 0.88); and for hospitalizations for maltreatment-related injuries by third birthday, aRR=0.59 (95% CI: 0.35, 0.99). Similar program effects would be expected among comparison children if they had received the program (i.e., average treatment effect for the untreated). No differences between groups were found across five domains of child development at school entry. ConclusionHome visiting programs can be an effective strategy for decreasing child maltreatment at a population level. Home visiting program enhancements are necessary to improve child development scores when children enter school. Use of population-based linkable data systems provides an opportunity to evaluate interventions using large, real-world samples, adjusting for a wide range of risk factors, and examining a variety of outcomes.
机译:摘要目的此人群健康干预研究的目的是确定加拿大曼尼托巴省针对高危家庭的省级家庭探访计划对改善儿童结局的有效性。已经在高度结构化和有监督的条件下对家庭访问计划进行了评估,与实际交付系统中评估的结果相比,该计划可能提供不同的结果。方法在这项回顾性队列研究中,将来自家庭访问计划家庭的4,562名儿童的数据和5,184名比较儿童的数据与在马尼托巴卫生政策中心安全保存的身份不明的行政健康,社会服务和教育数据相关联。治疗权重的逆概率用于解决提供自愿性计划时固有的选择偏见。我们使用广义线性建模来计算暴露于程序中的程序效果,未暴露程序的效果和平均效果。检查的儿童结局包括照顾儿童福利,因虐待导致的住院以及入学时的儿童发育分数。结果家访计划与较低的儿童照料率和因虐待相关伤害的住院率较低有关。为了在孩子的第一个生日得到照顾,调整后的风险比(aRR)为0.75(95%置信区间[CI]:0.66、0.86);在第二个生日之前得到护理时,aRR = 0.79,(95%CI:0.70,0.88);对于在三岁生日之前因虐待而住院的患者,aRR = 0.59(95%CI:0.35,0.99)。如果比较儿童接受了该计划,则可以预期他们的计划效果相似(即,未治疗者的平均治疗效果)。在入学时,发现儿童发展的五个领域之间的群体之间没有差异。结论家庭访问计划可以成为减少人口层面儿童虐待的有效策略。当孩子上学时,家庭访问计划的增强对于提高孩子的发展分数是必要的。基于人群的可链接数据系统的使用提供了一个机会,可以使用大量实际样本来评估干预措施,针对各种风险因素进行调整以及检查各种结果。

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