Adult healthcare is associated with more emergency healthcare for young people with life-limiting conditions

Adult healthcare is associated with more emergency healthcare for young people with life-limiting conditions

Jarvis S; Flemming K; Richardson G; Fraser L

Pediatric Research

2022

Adolescent; Adult; Children; Cohort analysis; Diabetes mellitus; Hospital care; Retrospective studies

Background: Children with life-limiting conditions receive specialist paediatric care in childhood, but the transition to adult care during adolescence. There are concerns about transition, including a lack of continuity in care and that it may lead to increases in emergency hospital visits. Method(s): A retrospective cohort was constructed from routinely collected primary and hospital care records for young people aged 12-23 years in England with (i) life-limiting conditions, (ii) diabetes or (iii) no long-term conditions. Transition point was estimated from the data and emergency inpatient admissions and Emergency Department visits per person-year compared for paediatric and adult care using random intercept Poisson regressions. Result(s): Young people with life-limiting conditions had 29% (95% CI: 14-46%) more emergency inpatient admissions and 24% (95% CI: 12-38%) more Emergency Department visits in adult care than in paediatric care. There were no significant differences associated with the transition for young people in the diabetes or no long-term conditions groups. Conclusion(s): The transition from paediatric to adult healthcare is associated with an increase in emergency hospital visits for young people with life-limiting conditions, but not for young people with diabetes or no long-term conditions. There may be scope to improve the transition for young people with life-limiting conditions. Impact: There is evidence for increases in emergency hospital visits when young people with life-limiting conditions transition to adult healthcare.These changes are not observed for comparator groups - young people with diabetes and young people with no known long-term conditions, suggesting they are not due to other transitions happening at similar ages.Greater sensitivity to changes at transition is achieved through estimation of the transition point from the data, reducing misclassification bias. Copyright © 2022, The Author(s).

April 2022 List