%0 Journal Article %T Investigating a novel population health management system to increase access to healthcare for children: a nested cross-sectional study within a cluster randomised controlled trial. %A Cecil E %A Forman J %A Newham J %A Hu N %A Lingam R %A Wolfe I %J BMJ Qual Saf %V 0 %N 0 %D 2024 Jul 11 %M 38991704 %F 7.418 %R 10.1136/bmjqs-2024-017223 %X BACKGROUND: Early intervention for unmet needs is essential to improve health. Clear inequalities in healthcare use and outcomes exist. The Children and Young People's Health Partnership (CYPHP) model of care uses population health management methods to (1) identify and proactively reach children with asthma, eczema and constipation (tracer conditions); (2) engage these families, with CYPHP, by sending invitations to complete an online biopsychosocial Healthcheck Questionnaire; and (3) offer early intervention care to those children found to have unmet health needs. We aimed to understand this model's effectiveness to improve equitable access to care.
METHODS: We used primary care and CYPHP service-linked records and applied the same methods as the CYPHP's population health management process to identify children aged <16 years with a tracer condition between 1 April 2018 and 30 August 2020, those who engaged by completing a Healthcheck and those who received early intervention care. We applied multiple imputation with multilevel logistic regression, clustered by general practitioner (GP) practice, to investigate the association of deprivation and ethnicity, with children's engagement and receiving care.
RESULTS: Among 129 412 children, registered with 70 GP practices, 15% (19 773) had a tracer condition and 24% (4719) engaged with CYPHP's population health management system. Children in the most deprived, compared with least deprived communities, had 26% lower odds of engagement (OR 0.74; 95% CI 0.62 to 0.87). Children of Asian or black ethnicity had 31% lower odds of engaging, compared with white children (0.69 (0.59 to 0.81) and 0.69 (0.62 to 0.76), respectively). However, once engaged with the population health management system, black children had 43% higher odds of receiving care, compared with white children (1.43 (1.15 to 1.78)), and children from the most compared with least deprived communities had 50% higher odds of receiving care (1.50 (1.01 to 2.22)).
CONCLUSIONS: Detection of unmet needs is possible using population health management methods and increases access to care for children from priority populations with the highest needs. Further health system strengthening is needed to improve engagement and enhance proportionate universalist access to healthcare.
BACKGROUND: ClinicalTrials.gov Registry (NCT03461848).