Extending prediction models for use in a new target population with failure time outcomes

Prediction models are often built and evaluated using data from a population that differs from the target population where model-derived predictions are intended to be used in. In this article, we present methods for evaluating model performance in the target population when some observations are right censored. The methods assume that outcome and covariate data are available from a source population used for model development and covariates, but no outcome data, are available from the target population. We evaluate the finite sample performance of the proposed estimators using simulations and apply the methods to transport a prediction model built using data from a lung cancer screening trial to a nationally representative population of participants eligible for lung cancer screening.

Engaging Stakeholders to Adapt an Evidence-Based Family Healthy Weight Program

Childhood obesity is associated with negative physical and psychosocial outcomes, especially for children from low-income backgrounds. It is critical to adapt evidence-based family healthy weight programs to meet the needs of this population. The Framework for Reporting Adaptations and Modifications to Evidence-Based Interventions was used to describe the process of using qualitative data from community and intervention stakeholders, children with overweight or obesity from low-income backgrounds, and caregivers to guide adaptations to the JOIN for ME pediatric weight management intervention. Qualitative interviews were conducted with key community and intervention stakeholders (e.g., nurse care managers, prior JOIN for ME coaches; N = 21). Focus groups were conducted in both Spanish and English with children with overweight or obesity from low-income backgrounds (N = 35) and caregivers of children with overweight or obesity from low-income backgrounds (N = 71). Qualitative data analysis informed modifications including content adaptations to simplify and tailor materials, contextual adaptations to improve intervention engagement and framing, resource awareness, and modality of delivery, training adaptations, and implementation/scale-up activities to increase connections with community partners. The process of engaging multiple stakeholder perspectives to tailor an existing intervention can provide a model for future researchers to improve the potential disseminability of an intervention.