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Variation in spend on young mental health across Clinical Commissioning Groups in England: a cross-sectional observational study

OBJECTIVES: To investigate whether the rate of spend on child and adolescent mental health is influenced by demand for other competing services in local commissioning decisions. DESIGN: Analysis of spend data by Clinical Commissioning Groups (CCG), including other publicly available data to control...

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Detalles Bibliográficos
Autores principales: Rocks, Stephen, Fazel, Mina, Tsiachristas, Apostolos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6797274/
https://www.ncbi.nlm.nih.gov/pubmed/31594880
http://dx.doi.org/10.1136/bmjopen-2019-030011
Descripción
Sumario:OBJECTIVES: To investigate whether the rate of spend on child and adolescent mental health is influenced by demand for other competing services in local commissioning decisions. DESIGN: Analysis of spend data by Clinical Commissioning Groups (CCG), including other publicly available data to control for variation in need. SETTING: Local commissioning decisions in the National Health Service. PARTICIPANTS: Commissioning of health services across 209 CCGs. MAIN OUTCOME MEASURES: Association between the rate of child and adolescent mental health spend and demand for child and adolescent mental health services (CAMHS), adult mental health services and physical health services after adjusting for confounding factors. RESULTS: An additional percentage point in the proportion of children in care is associated with 4% higher child and young person mental health (CYP MH) spend per person aged 0–18 (ratio of means: 1.04; 95% CI 1.00 to 1.07). Spending £100 more on physical health services was associated with 9% lower spend in CYP MH per person aged 0–18 (ratio of means: 0.91; 95% CI 0.84 to 0.99). CONCLUSIONS: Healthcare commissioners in England face a challenge in balancing competing needs. This paper contributes to our understanding of this by quantifying the possible extent of the trade-off between physical health and CYP MH when allocating budgets. Any attempt to explain the variation in CAMHS spend must also take account of demand for other services.