Systematic measurement of treatment preferences is needed to obtain well-informed preferences. Guided by a conceptualization of treatment preferences, a measure was developed to assess treatment acceptability and preference. The purpose of this study was to evaluate the psychometric properties of the Treatment Acceptability and Preferences (TAP) measure. The TAP measure contains a description of each treatment under evaluation, items to rate its acceptability, and questions about participants’ preferred treatment option. The items measuring treatment acceptability were internally consistent (alpha > .80) and demonstrated validity, evidenced by a one-factor structure and differences in the scores between participants with preferences for particular interventions. The TAP measure has the potential for the assessment of acceptability and preferences for various behavioral interventions.

Participant attrition is a major influence on the effectiveness of evidence-based interventions. Assessing predictors of participant attrition and nurse and site characteristics associated with it could lay a foundation for increasing retention and engagement. We examined this issue in the national expansion of the Nurse-Family Partnership, an evidence-based program of prenatal and infancy home visiting for low-income, first-time mothers, their children, and families. Using a mixed methods approach, we examined participant, nurse, and site predictors of participant attrition and completed home visits. We used mixed multivariate regression models to identify participant, nurse, program, and site predictors of addressable attrition and completed home visits during pregnancy and the first year of the child’s life for 10,367 participants at 66 implementation sites. We then conducted semi-structured interviews with nurse home visitors and supervisors at selected sites with the highest (N = 5 sites) and lowest (N = 6 sites) rates of participant addressable attrition and employed qualitative methods to synthesize themes that emerged in nurses’ descriptions of the strategies they used to retain participants. Mothers who were younger, unmarried, African American, and visited by nurses who ceased employment had higher rates of attrition and fewer home visits. Hispanic mothers, those living with partners, and those employed at registration had lower rates of attrition. Those who were living with partners and employed had more home visits. Nurses in high retention sites adapted the program to their clients’ needs, were less directive, and more collaborative with them. Increasing nurses’ flexibility in adapting this structured, evidence-based program to families’ needs may increase participant retention and completed home visits.

Background-The literature on preferences for behavioral interventions is limited in terms of understanding treatment-related factors that underlie treatment choice. The objectives of this study were to examine the direct relationships between personal beliefs about clinical condition, perception of treatment acceptability, and preferences for behavioral interventions for insomnia.

Effectiveness research is undertaken to evaluate the effects of interventions in achieving desired outcomes when tested in the real-world conditions of everyday practice. Although the randomized clinical trial (RCT) is considered the gold standard for effectiveness research, its feasibility, generalizability, and the clinical utility of its results are being questioned. This state of the science prompted the call for a paradigm shift, characterized by alternative methods for clinical research. The alternative methods attempt to account for clinical realities when conducting research, with the goal of minimizing discrepancies in the perspective and assumptions underlying practice and research. In this article a theory-driven approach to intervention evaluation is presented as a viable alternative paradigm for clinical research. The application of this approach demands changes in four aspects of research: participant selection criteria, assignment to treatment options, delivery of the intervention, and selection of outcome measures. The changes are discussed at the conceptual level and illustrated with examples from an ongoing multisite study aimed at determining the usefulness of this theory-driven approach to intervention evaluation.

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