Economic evidence of clinical decision support systems in mental health: A systematic literature review.
Line StienCarolyn ClausenInna FeldmanBennett LeventhalRoman A KoposovKaban KoochakpourØystein NytrøOdd Sverre WestbyeDipendra PantThomas Brox RøstNorbert SkokauskasPublished in: Digital health (2024)
Mental health conditions are among the highest disease burden on society, affecting approximately 20% of children and adolescents at any point in time, with depression and anxiety being the leading causes of disability globally. To improve treatment outcomes, healthcare organizations turned to clinical decision support systems (CDSSs) that offer patient-specific diagnoses and recommendations. However, the economic impact of CDSS is limited, especially in child and adolescent mental health. This systematic literature review examined the economic impacts of CDSS implemented in mental health services. We planned to follow PRISMA reporting guidelines and found only one paper to describe health and economic outcomes. A randomized, controlled trial of 336 participants found that 60% of the intervention group and 32% of the control group achieved symptom reduction, i.e. a 50% decrease as per the Symptom Checklist-90-Revised (SCL-90-R), a method to evaluate psychological problems and identify symptoms. Analysis of the incremental cost-effectiveness ratio found that for every 1% of patients with a successful treatment result, it added €57 per year. There are not enough studies to draw conclusions about the cost-effectiveness in a mental health context. More studies on economic evaluations of the viability of CDSS within mental healthcare have the potential to contribute to patients and the larger society.
Keyphrases
- mental health
- clinical decision support
- healthcare
- mental illness
- electronic health record
- randomized controlled trial
- end stage renal disease
- newly diagnosed
- ejection fraction
- public health
- prognostic factors
- type diabetes
- young adults
- sleep quality
- systematic review
- risk assessment
- emergency department
- health information
- skeletal muscle
- social media
- insulin resistance
- metabolic syndrome
- weight loss
- adverse drug
- health insurance