• Medientyp: E-Artikel
  • Titel: Cost-effectiveness analysis of paediatric mental health interventions: a systematic review of model-based economic evaluations
  • Beteiligte: Kularatna, Sanjeewa; Hettiarachchi, Ruvini; Senanayake, Sameera; Murphy, Ciara; Donovan, Caroline; March, Sonja
  • Erschienen: Springer Science and Business Media LLC, 2022
  • Erschienen in: BMC Health Services Research
  • Sprache: Englisch
  • DOI: 10.1186/s12913-022-07939-x
  • ISSN: 1472-6963
  • Schlagwörter: Health Policy
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>Mental health disorders among children and youth are causing significant burden on health care systems. Hence, identifying cost-effective interventions is important for effective mental health care allocation. Although model-based economic evaluations are an essential component of assessing cost-effectiveness, evidence are limited in the context of child and youth mental health care. The objective was to systematically review the model-based economic evaluations of mental health interventions for children and youth.</jats:p><jats:p><jats:bold>Methods</jats:bold></jats:p><jats:p>Four databases (MEDLINE, EMBASE, PsycINFO and Web of Science) were searched using appropriate search terms to retrieve model-based economic evaluations of mental health interventions for children and youth. The reporting quality of the included studies were appraised using the Consolidated health economic evaluation reporting standards (CHEERS) checklist.</jats:p><jats:p><jats:bold>Results</jats:bold></jats:p><jats:p>The database search yielded 1921 records. Of the 12 selected for review, 66% were published after year 2015. Most of the studies were related to anxiety and post-traumatic stress disorder. There were eight cost-utility studies, three cost-effectiveness studies, and one study using both forms of analysis. Six studies used Markov models, three used decision trees, and three studies used both types of models. However, the model structure, health states, time horizon, and economic perspective showed wide variation. The reporting quality of the included studies varied from 91 to 96%.</jats:p><jats:p><jats:bold>Conclusion</jats:bold></jats:p><jats:p>Model based mental health economic evaluations among children and youth are increasingly being reported in recent research. The included studies used Markov models and decision trees, either alone or in combination, and the majority of the articles were of good reporting quality.</jats:p>
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