Components associated with home visiting program outcomes: a meta-analysis
Abstract
Background: Although several systematic reviews have concluded that home visiting has strong evidence of effectiveness, individual evaluations have produced inconsistent results. We used a component-based, domain-specific approach to determine which characteristics most strongly predict outcomes.
Methods: Medline and PsycINFO searches were used to identify evaluations of universal and selective home visiting programs implemented in the United States. Coders trained to the study criterion coded characteristics of research design, program content, and service delivery. We conducted random-effects, inverse-variance-weighted linear regressions by using program characteristics to predict effect sizes on 6 outcome domains (birth outcomes, parenting behavior and skills, maternal life course, child cognitive outcomes, child physical health, and child maltreatment).
Results: Aggregated to a single effect size per study (k = 51), the mean effect size was 0.20 (95% confidence interval: 0.14 to 0.27), with a range of -0.68 to 3.95. Mean effect sizes were significant and positive for 3 of the 6 outcome domains (maternal life course outcomes, child cognitive outcomes, and parent behaviors and skills), with heterogeneity of effect sizes in all 6 outcome domains. Research design characteristics generally did not predict effect sizes. No consistent pattern of effective components emerged across all outcome domains.
Conclusions: Home visiting programs demonstrated small but significant…
How strong is the evidence?
Evidence Hub reads this as a meta-analysis, done in people. Its evidence level is 1 of 5 (Highest · pooled evidence). Pooled evidence from several studies sits at the top of the evidence pyramid.
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