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Don Compton

Publications and source records attributed to Don Compton.

2 recordsLinked to original sources

Steps to a HealthierUS Cooperative Agreement Program: foundational elements for program evaluation planning, implementation, and use of findings.

The Steps to a HealthierUS Cooperative Agreement Program (Steps Program) enables funded communities to implement chronic disease prevention and health promotion efforts to reduce the burden of diabetes, obesity, asthma, and related risk factors. At both the national and community levels, investment in surveillance and program evaluation is substantial. Public health practitioners engaged in program evaluation planning often identify desired outcomes, related indicators, and data collection methods but may pay only limited attention to an overarching vision for program evaluation among participating sites. We developed a set of foundational elements to provide a vision of program evaluation that informs the technical decisions made throughout the evaluation process. Given the diversity of activities across the Steps Program and the need for coordination between national- and community-level evaluation efforts, our recommendations to guide program evaluation practice are explicit yet leave room for site-specific context and needs. Staff across the Steps Program must consider these foundational elements to prepare a formal plan for program evaluation. Attention to each element moves the Steps Program closer to well-designed and complementary plans for program evaluation at the national, state, and community levels.

Benchmarking↗

Identifying predictors of treatment response.

This article provides a rationale for considering predictors of growth in a treatment group as inadequate to identifying predictors of treatment response. When we interpret predictors of growth in a treatment group as synonymous with predictors of treatment response, we implicitly attribute all of the treated children's growth to the treatment, an untenable assumption under most conditions. We also contend that the use of standard scores in predictors of growth studies does not allow us to differentiate growth from treatment, from growth from other factors. We present two research methodologies that are appropriate methods of identifying predictors of treatment response: (a) single-subject experimental logic utilized to identify the specific participants in which treatment responses (not just growth) were found, combined with follow-up group comparison logic to identify the characteristics on which responders and nonresponders differ, and (b) statistical interactions among child/family/context characteristics and randomly assigned group membership. Principles for selecting potential predictors of treatment response are provided.

Child↗