Evidence map›Paper›PMID 38798888›Full record

ArticleDigital health

Economic evidence of clinical decision support systems in mental health: A systematic literature review.

Line Stien, Carolyn Clausen, Inna Feldman, Bennett Leventhal, Roman Koposov, Kaban Koochakpour, Øystein Nytrø, Odd Sverre Westbye, Dipendra Pant, Thomas Brox Røst and 1 more

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Line StienDepartment of Mental Health, Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU) Central Norway, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Carolyn ClausenDepartment of Mental Health, Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU) Central Norway, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Inna FeldmanDepartment of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
Bennett LeventhalDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA.
Roman KoposovRegional Centre for Child and Youth Mental Health and Child Welfare, Northern Norway, UiT - The Arctic University of Norway, Tromsø, Norway.ORCID https://orcid.org/0000-0002-7393-2920
Kaban KoochakpourDepartment of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.
Øystein NytrøDepartment of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.
Odd Sverre WestbyeDepartment of Mental Health, Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU) Central Norway, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.
Dipendra PantDepartment of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway.
Thomas Brox RøstDepartment of Child and Adolescent Psychiatry, St Olavs Hospital, Trondheim, Norway.
Norbert SkokauskasDepartment of Mental Health, Regional Centre for Child and Youth Mental Health and Child Welfare (RKBU) Central Norway, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

adolescent mental healthchildrenclinical decision supportCost-effectivenesselectronic health records

Identifiers

PMID38798888
PMCPMC11119481

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.