Evidence map›Paper›PMID 29859050›Full record

ArticleBMC psychiatry2018

The development and evaluation of a computerized decision aid for the treatment of psychotic disorders.

Magda Tasma, Lukas O Roebroek, Edith J Liemburg, Henderikus Knegtering, Philippe A Delespaul, Albert Boonstra, Marte Swart, Stynke Castelein

Open access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
3.4field-weighted citation impact, top 7% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Psychiatry in the Digital Age: A Blessing or a Curse?International journal of environmental research and public health · 2021
    Review
  5. 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

8 authors at 3 institutions in 1 country.

Magda TasmaLentis Psychiatric Institute, Lentis Research, Hereweg 80, 9725 AG, Groningen, The Netherlands.
Lukas O RoebroekLentis Psychiatric Institute, Lentis Research, Hereweg 80, 9725 AG, Groningen, The Netherlands. lo.roebroek@lentis.nl.ORCID 0000-0002-1820-340X
Edith J LiemburgRob Giel Research Centre, University of Groningen, University Medical Centre Groningen, Groningen, The Netherlands.
Henderikus KnegteringLentis Psychiatric Institute, Lentis Research, Hereweg 80, 9725 AG, Groningen, The Netherlands.
Philippe A DelespaulFaculty of Psychiatry & Psychology, Maastricht University, Maastricht, The Netherlands.
Albert BoonstraFaculty of Economics and Business, University of Groningen, Groningen, The Netherlands.
Marte SwartLentis Psychiatric Institute, Lentis Research, Hereweg 80, 9725 AG, Groningen, The Netherlands.
Stynke CasteleinLentis Psychiatric Institute, Lentis Research, Hereweg 80, 9725 AG, Groningen, The Netherlands.
University Medical Center Groningen · NLMaastricht University · NLUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRoutinely monitoring of symptoms and medical needs can improve the diagnostics and treatment of medical problems, including psychiatric. However, several studies show that few clinicians use Routine Outcome Monitoring (ROM) in their daily work. We describe the development and first evaluation of a ROM based computerized clinical decision aid, Treatment-E-Assist (TREAT) for the treatment of psychotic disorders. The goal is to generate personalized treatment recommendations, based on international guidelines combined with outcomes of mental and physical health acquired through ROM. We present a pilot study aimed to assess the feasibility of this computerized clinical decision aid in daily clinical practice by evaluating clinicians' experiences with the system.

methodsClinical decision algorithms were developed based on international schizophrenia treatment guidelines and the input of multidisciplinary expert panels from multiple psychiatric institutes. Yearly obtained diagnostic (ROM) information of patients was presented to treating clinicians combined with treatment suggestions generated by the algorithms of TREAT. In this pilot study 6 clinicians and 16 patients of Lentis Psychiatric Institute used the application. Clinicians were interviewed and asked to fill out self-report questionnaires evaluating their opinions about ROM and the effectiveness of TREAT.

resultsSix clinicians and 16 patients with psychotic disorders participated in the pilot study. The clinicians were psychiatrists, physicians and nurse-practitioners which all worked at least 8 years in mental health care of which at least 3 years treating patients with psychotic illnesses. All Clinicians found TREAT easy to use and would like to continue using the application. They reported that TREAT offered support in using diagnostic ROM information when drafting the treatment plans, by creating more awareness of current treatment options.

conclusionThis article presents a pilot study on the implementation of a computerized clinical decision aid linking routine outcome monitoring to clinical guidelines in order to generate personalized treatment advice. TREAT was found to be feasible for daily clinical practice and effective based on this first evaluation by clinicians. However, adjustments have to be made to the system and algorithms of the application. The ultimate goal is to provide appropriate evidence based care for patients with severe mental illnesses.

Indexed as

Decision Support TechniquesAdultComputersDecision MakingDecision Support Systems, ClinicalFemaleHumansPatient Care PlanningPilot ProjectsPrecision MedicinePsychiatryPsychotic DisordersSchizophreniaSurveys and QuestionnairesClinical decision aidGuidelinesOptimal treatmentPsychotic disorderRoutine outcome monitoringTreatment recommendations

Identifiers

PMID29859050
PMCPMC5984829
OpenAlexW2806751769

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.