Study Details

Citation

Rotz, D., Shiferaw, M., Wood, R.G. (2022). The impact of a home visiting program enhanced to address repeat adolescent pregnancy: A randomized controlled trial of Steps to Success. Maternal Child Health Journal, 1–11.

Rotz, D., Shiferaw, M., Wood, R.G. (2019). Enhancing a home visiting program to address repeat adolescent pregnancy: The longer-term impacts of Steps to Success. Mathematic Policy Research.

Rotz, D., Wood, R.G. (2018). Enhancing a home visiting program to address repeat adolescent pregnancy: The early impacts of Steps to Success. Mathematica Policy Research.

Kisker, E.E., Berman, J., Blasberg, A., Wood, R.G. (2016). Preventing rapid repeat births among adolescent mothers: Implementing Steps to Success in San Angelo, Texas. Mathematica Policy Research.

Program or Component Study?
Program
Program or Component Name

Steps 2 Success

Show Evidence of Effectiveness
No
Study Rating and Explanation
High

This study received a high study quality rating because it is a low-attrition randomized controlled trial with no known issues that would suggest the findings cannot be attributed to the program

Program Information

Program Type
Positive youth development
Program Length
More than 20 sessions

Evaluation Setting

Evaluation Setting
Home-based case management

Study Sample

Average Age Group
18 or 19
Majority Racial/Ethnic Group
Hispanic or Latino
Sex
Young female

Research Design

Assignment Method
Randomized controlled trial
Sample Size

594

Number of Follow-Ups

2

Length of Last Follow-Up

at program completion - 24 months

Year of Last Data Collection
2018

Study Findings

Result Sexual Activity
Indeterminate evidence
Result Pregnancy
Indeterminate evidence
Reviewed Studies
High-Quality Randomized Trial
Protocol Version
Version 6.0
Details

The Steps to Success program was evaluated using a randomized controlled trial involving pregnant or recently pregnant young women ages 14-20 recruited from hospitals, high schools, a nonprofit, and a health care provider from San Angelo, Texas. Participants were randomly assigned to either a treatment group that received the two-year Steps to Success home visiting program or a control group that received a two-year traditional home visiting program. Surveys were administered at enrollment, before random assignment (baseline); one year after the start of the program; and at the conclusion of the two-year program. Twelve and 24 months after the start of the program, the study found no statistically significant impacts on having a repeat pregnancy and having unprotected sex in the last three months among those receiving Steps to Success. The study also examined the program's impacts on measures of using a long-acting reversible contraceptive, desire to avoid a repeat pregnancy in the next year, knowledge of contraception and pregnancy prevention, quality of co-parenting relationship, and father's engagement with the child. Findings for these outcomes were not considered for the review because they fell outside the scope of the review.

Effect Sizes
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NA = Not available. This means the authors did not report the information in the manuscripts associated with the studies we reviewed.

a This information was not available whenever authors did not report information for the treatment and comparison groups separately on outcome means, standard deviations, and/or sample sizes.

b Authors reported that the program effect (impact) estimate is statistically significant with a p-value of less than 0.05 based on a two-tailed test.

c For some outcomes, having less of that outcome is favorable. In those cases, an effect with a negative sign is favorable to the treatment group (that is, the treatment group had a more favorable outcome than the comparison group, on average).

d An effect shows credibly estimated, statistically significant evidence whenever it has a p-value of less than 0.05 based on a two-tailed test, includes the appropriate adjustment for clustering (if applicable), and it is not based on an endogenous subgroup.

Language directly from the program model developer or authors.