A pilot study comparing tools for tracking implementation strategies and treatment adaptations.

Background: Tailoring implementation strategies and adapting treatments to better fit the local context may improve their effectiveness. However, there is a dearth of valid, reliable, pragmatic measures that allow for the prospective tracking of strategies and adaptations according to reporting recommendations. This study describes the development and pilot testing of three tools to be designed to serve this purpose. Methods: Measure development was informed by two systematic reviews of the literature (implementation strategies and treatment adaptation). The three resulting tools vary with respect to the degree of structure (brainstorming log = low, activity log = moderate, detailed tracking log = high). To prospectively track treatment adaptations and implementation strategies, three stakeholder groups (treatment developer, implementation practitioners, and mental health providers) were randomly assigned one tool per week through an anonymous web-based survey for 12 weeks and incentivized to participate. Three established implementation outcome measures, the Acceptability of Intervention Measure, Intervention Appropriateness Measure, and Feasibility of Intervention Measure, were used to assess the tools. Semi-structured interviews were conducted to gather more nuanced information from stakeholders regarding their perceptions of the tools and the tracking process. Results: The three tracking tools demonstrated moderate to good acceptability, appropriateness, and feasibility; the activity log was deemed the most feasible of the three tools. Implementation practitioners rated the tools the highest of the three stakeholder groups. The tools took an average of 15 min or less to complete. Conclusion: This study sought to fill methodological gaps that prevent stakeholders and researchers from discerning which strategies are most important to deploy for promoting implementation and sustainment of evidence-based practices. These tools would allow researchers and practitioners to track whether activities were treatment adaptations or implementation strategies and what barrier(s) each targets. These tools could inform prospective tailoring of implementation strategies and treatment adaptations, which would promote scale out and spread. Plain Language Summary: Strategies to support the implementation of evidence-based practices may be more successful if they are carefully customized based on local factors. Evidence-based practices themselves may be thoughtfully changed to better meet the needs of the settings and recipients. This study reports on a pilot study that aimed to create various types of tools to help individuals involved in implementation efforts track the actions they take to modify and implement interventions. These tools allow individuals to track the types of activities they are involved in, when the activities occurred, who was involved in the implementation efforts, and the reasons or rationale for the actions. The three tools in this study used a combination of open-ended and forced-response questions to test how the type of data recorded changed. Participants generally found the tools quick and easy to use and helpful in planning the delivery of an evidence-based practice. Most participants wanted more training in implementation science terminology and how to complete the tracking tools. Participating mental health providers would have liked more opportunities to review the data collected from the tools with their supervisors to use the data to improve the delivery of the evidence-based practice. These tools can help researchers, providers, and staff involved in implementation efforts to better understand what actions are needed to improve implementation success. Future research should address gaps identified in this study, such as the need to involve more participants in the tool development process.

A theoretical model of financial burden after cancer diagnosis.

Current models of financial burden after cancer do not adequately define types of financial burden, moderators or causes. We propose a new theoretical model to address these gaps. This model delineates the components of financial burden as material and psychological as well as healthcare-specific (affording treatment) versus general (affording necessities). Psychological financial burden is further divided into worry about future costs and rumination about past and current financial burden. The model hypothesizes costs and employment changes as causes, and moderators include precancer socioeconomic status and post-diagnosis factors. The model outlines outcomes affected by financial burden, including depression and mortality. Theoretically derived measures of financial burden, interventions and policy changes to address the causes of financial burden in cancer are needed.

Prospective data from the Women's Health Initiative on depressive symptoms, stress, and inflammation.

This study examined the longitudinal association of depressive symptoms and stressful life events with inflammation in the Women's Health Initiative. Women aged 50 years and older ( N = 7477) completed questionnaires assessing depressive symptoms and stressful life events at baseline and 15 years later. Serum measures of C-reactive protein were collected at both assessments. In bivariate analyses, C-reactive protein predicted 15-year depressive symptoms and stressful life events ( ps < .03) and baseline depressive symptoms and stressful life events predicted later C-reactive protein ( ps < .03). These longitudinal relationships were not maintained in multivariate adjusted analyses. Combined with previous research, this suggests the relationship between depression, stressful life events and inflammation attenuates with time.