# Design and rationale for Exploring Predictors of successful healthCare Transition for adolescents with chronic conditions in a longitudinal explorative cohort

## TL;DR

This study explores factors that predict successful healthcare transitions for adolescents with chronic conditions using a longitudinal dataset.

## Contribution

The study introduces a novel approach to identifying predictors of successful healthcare transition through a unique longitudinal dataset.

## Key findings

- The study will analyze how biopsychosocial development relates to transition readiness and outcomes.
- Findings will provide actionable insights for improving healthcare transition interventions.
- Data will be collected from multiple chronic disease groups across three time points.

## Abstract

Transitioning from paediatric to adult healthcare is a pivotal phase for adolescents and young adults (AYAs) with chronic conditions. Effective healthcare transition (HCT) supports continued healthcare engagement and stable psychosocial outcomes, reducing risks for patients, their families, and the healthcare system. Yet the determinants of a smooth transition are complex, shaped by the interplay of various biopsychosocial constructs.

The ExPeCT study (acronym: Exploring Predictors of a successful healthCare Transition) seeks to: A) examine the relationship between biopsychosocial development, transition readiness, and HCT outcomes, including patients’ experiences; and B) identify key predictors of successful HCT in AYAs with chronic conditions.

This longitudinal, observational, exploratory cohort study is embedded in the PROactive cohort, which annually measures biopsychosocial well-being of children with chronic conditions. The ExPeCT study supplements the PROactive cohort by collecting additional data on HCT experiences at three time points: once in paediatric care and twice after transfer to adult care.

Data will be obtained from a range of chronic disease groups. Advanced statistical modelling will be employed to analyse transition outcomes and experiences, and to investigate associations between biopsychosocial development and transition readiness.

This study is expected to fill a critical gap in the field by providing comprehensive understanding of predictors of successful healthcare transition in AYAs with chronic conditions. The insights gained will help improve care strategies and guide healthcare professionals in supporting successful transition to adult care.

•Predictors for a successful healthcare transition are explored in a unique longitudinal dataset during healthcare transition.•The longitudinal dataset includes patients with multiple chronic conditions undergoing various transition protocols.•Findings will offer concrete targets for designing or improving transition interventions.

Predictors for a successful healthcare transition are explored in a unique longitudinal dataset during healthcare transition.

The longitudinal dataset includes patients with multiple chronic conditions undergoing various transition protocols.

Findings will offer concrete targets for designing or improving transition interventions.