Related Experiment Video
Updated: Mar 27, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
Published on: January 12, 2018
Addendum to "Population-Based Prevention of Child Maltreatment: The U.S. Triple P System Population Trial"
Ronald J Prinz1, Matthew R Sanders2, Cheri J Shapiro3
1Psychology Department, University of South Carolina, Columbia, SC, 29208, USA. prinz@sc.edu.
Insights
Community-wide parenting support, like the Triple P-Positive Parenting Program, significantly reduced child maltreatment rates, including substantiated cases, out-of-home placements, and injuries. This multilevel system shows potential for population-level prevention.
Area of Science:
- Public Health
- Developmental Psychology
- Family Studies
Background:
- Previous research established the Triple P-Positive Parenting Program's effectiveness in preventing child maltreatment.
- This report provides further details on study procedures, measures, and design decisions.
- Additional analysis and implications for future research are discussed.
Purpose of the Study:
- To provide additional details on a place-randomized study of the Triple P-Positive Parenting Program.
- To present an additional analysis of primary child maltreatment outcomes.
- To guide future research in population-level prevention of child maltreatment.
Main Methods:
- A place-randomized design was employed.
- Primary outcomes included county-wide rates of substantiated child maltreatment, out-of-home placements, and hospital-treated injuries.
- Additional analysis utilized a 5-year baseline and ANCOVA.
Main Results:
- Baseline equivalence between intervention conditions was reaffirmed.
- Additional analysis yielded large effect sizes for all three primary outcomes.
- Results converged with original findings, underscoring the program's impact.
Conclusions:
- Community-wide parenting and family support can achieve population-level impact on child maltreatment.
- Replication of population-oriented strategies is needed.
- Further research should explore effects on children's adjustment and implementation science for sustained reach.
Abstract:
A previous article published several years ago (Prinz et al. Prevention Science, 10, 1-12, 2009) described the main results of a place-randomized-design study focused on the prevention of child-maltreatment-related outcomes at a population level through the implementation of a multilevel system of parenting and family support (the Triple P-Positive Parenting Program). The current report, prepared at the encouragement of the journal, provides additional details about procedures, measures, and design-related decisions, presents an additional analysis of the main outcome variables, and poses questions about the study and its implications. We also offer guidance about how the field can move forward to build on this line of research. From the outset, the three designated primary child maltreatment outcomes were county-wide rates for substantiated child maltreatment cases, out-of-home placements, and hospital-treated child maltreatment injuries, derived from independent data sources available through administrative archival records. Baseline equivalence between the two intervention conditions was reaffirmed. The additional analysis, which made use of a 5-year baseline (replacing a 1-year baseline) and ANCOVA, yielded large effect sizes for all three outcomes that converged with those from the original analyses. Overall, the study underscored the potential for community-wide parenting and family support to produce population-level preventive impact on child maltreatment. Issues addressed included (1) the need for replication of population-oriented maltreatment prevention strategies like the one tested in this randomized experiment, (2) the need to demonstrate that a parenting-based population approach to maltreatment prevention can also impact children's adjustment apart from child abuse, and (3) the role of implementation science for achieving greater population reach and maintenance over time.
More Related Videos
Related Concept Videos
Preventive Healthcare Services
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
Regression Toward the Mean
Community Based Intervention
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
Levels of Health Promotion and Illness Prevention
In primary prevention, actions taken before disease onset prevent the disease from...

