Predictors of amounts of child and adolescent mental health service use.
The aim of this study was to build evidence about how to tailor services to meet the individual needs of young people by identifying predictors of amounts of child and adolescent mental health service use. We conducted a secondary analysis of a large administrative dataset from services in England w...
| Publicado en: | European Child & Adolescent Psychiatry Vol. 32; no. 11; pp. 2335 - 2343 |
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| Autores principales: | , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Nov2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=172970472&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 172970472 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10188827 EJ3 jtl: European Child & Adolescent Psychiatry issn: 10188827 maglogo: N pubinfo: dt: Nov2023 vid: 32 iid: 11 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 172970472 159131352 172970472 172970472 10.1007/s00787-022-02063-x 172970472 ppf: 2335 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Predictors of amounts of child and adolescent mental health service use. aug: au: Edbrooke-Childs, Julian Rashid, Anisatu Ritchie, Benjamin Deighton, Jessica affil: Evidence Based Practice Unit, UCL and Anna Freud Centre, 4-8 Rodney Street, N1 9JH, London, UK sug: subj: Mental Health Services Utilization Mental Health Services Utilization Health Services Needs and Demand Health Services Accessibility Mental Health Prediction Models Minimum Data Set Descriptive Statistics Human Male Female Infant Child, Preschool Child Adolescence Young Adult Adult Confidence Intervals Treatment Outcomes Data Analysis Software Funding Source Infant: 1-23 months Child, Preschool: 2-5 years Child: 6-12 years Adolescent: 13-18 years Adult: 19-44 years Male Female ab: The aim of this study was to build evidence about how to tailor services to meet the individual needs of young people by identifying predictors of amounts of child and adolescent mental health service use. We conducted a secondary analysis of a large administrative dataset from services in England was conducted using the Mental Health Services Data Set (years 2016–17 and 2017–18). The final sample included N = 27,362 episodes of care (periods of service use consisting of at least two attended care contacts and less than 180 days between care contacts) from 39 services. There were 50–10,855 episodes per service. The descriptive statistics for episodes of care were: Mage = 13 years, SDage = 4.71, range = 0–25 years; 13,785 or 50% male. Overall, there were high levels of heterogeneity in number of care contacts within episodes of care: M = 11.12, SD = 28.28, range = 2–1529. Certain characteristics predicted differential patterns of service use. For example, young people with substance use (beta = 6.29, 95% CI = 5.06–7.53) or eating disorders (beta = 4.30, 95% CI = 3.29–5.30) were particularly more likely to have higher levels of service use. To build on this, evidence is needed about predictors of child and adolescent mental health treatment outcome and whether the same characteristics predict levels of improvement as well as levels of service use. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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