Comparison of recruitment methodologies for clinical trials: Results from the time for living and caring (TLC) intervention study.

BACKGROUND: Recruiting participants for research studies is a critical yet challenging task. Community-engaged recruitment strategies have gained prominence as effective means to engage diverse populations and ensure the representativeness of study samples. This case study aims to investigate the cost and effectiveness of various recruitment methods in enhancing research participation. METHODS: A comparative approach was employed to assess the outcomes of five different recruitment strategies used in the Time for Living & Caring (TLC) research study. Data on recruitment success, participant demographics, and retention rates were collected and analyzed using descriptive statistics, including ANOVA and Chi-squares, to statistically compare the outcomes associated with 5 different recruitment methodologies. The recruitment methodologies included two community-engaged strategies (community partner referral and community-based recruiters), a clinical database, social media, and word-of-mouth referral. CONCLUSION: The meta-data used to build this methodological case study describe different recruitment methodologies that may be used for clinical trials. This data-driven evaluation provides examples and considerations for researchers when developing budgets and proposals for future clinical trials. The primary finding is that there are tradeoffs in terms of cost, time, labor, and ultimately the representativeness of the sample, based on the type of recruitment methodology chosen.

Using Digital Inequality Framework to Evaluate a Technology-Delivered Intervention for Caregivers: Age, Education, and Computer Proficiency.

Objectives: Using "digital inequality" as a conceptual framework, this study evaluates the feasibility and usability of a technology-delivered intervention (an "app") for Alzheimer's and related dementia family caregivers. Time for Living and Caring (TLC) is an on-line intervention that provides virtual coaching and self-administered education and resources. Methods: A sample of family caregivers (n = 163) used the tool for 16 weeks, which included completing the Computer Proficiency Questionnaire (CPQ-12) at baseline. Analyses investigate the relationship between age, CPQ scores, intervention use, appraisal, and caregiver outcomes. Results: Age was inversely associated with CPQ; however, CPQ scores did not have a significant relationship with participant's self-perceived benefits or intervention appraisal. Computer Proficiency Questionnaire scores provided insight regarding research feasibility, with lower scores associated with greater odds of discontinuing engagement. Discussion: CPQ-12 scores can be used as a screening tool to identify those who may need additional support to engage with and benefit from technology-delivered interventions.

An evaluation of analytical approaches for understanding change in cognition in the context of aging and health.

OBJECTIVES: In this article, we discuss the importance of studying the relationship between health and cognitive function, and some of the methods with which this relationship has been studied. METHODS: We consider the challenges involved, in particular operationalization of the health construct and causal inference in the context of observational data. We contrast the approaches taken, and review the questions addressed: whether health and cognition are associated, whether changes in health are associated with changes in cognition, and the degree of interdependency among their respective trajectories. RESULTS: A variety of approaches for understanding the association between cognition and health in aging individuals have been used. Much of the literature on cognitive change and health has relied on methods that are based at least in part on the reorganization of between-person differences (e.g., cross-lag analysis) rather than relying more fully on analysis of within-person change and joint analysis of individual differences in within-person change in cognition and health. DISCUSSION: We make the case for focusing on the interdependency between within-person changes in health and cognition and suggest methods that would support this.