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Psychopharmacological treatments strategies in consultation-liaison psychiatry: Clinical vignette and pros and cons

Published online by Cambridge University Press:  23 March 2020

G. Mattei*
Affiliation:
University of Modena and Reggio Emilia, Department of Clinical-Diagnostic Medicine and Public Health, Modena, Italy
N. Colombini
Affiliation:
Castelfranco Emilia Community Mental Health Center, Mental Health Department, Modena, Italy
S. Ferrari
Affiliation:
University of Modena and Reggio Emilia, Department of Clinical-Diagnostic Medicine and Public Health, Modena, Italy
G.M. Galeazzi
Affiliation:
University of Modena and Reggio Emilia, Department of Clinical-Diagnostic Medicine and Public Health, Modena, Italy
*
* Corresponding author.

Abstract

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Introduction

Multimorbidity and polipharmacotherapy are crucial features influencing the psychiatrist's prescription in the consultation-liaison psychiatry (CLP) setting.

Aims

to provide an example of computer-assisted decision-making in psychotropic prescriptions and to provide hints for developing pharmacological treatment strategies in the CLP setting.

Methods

Case report. A clinical vignette is presented, followed by a review of available online computer-assisted prescription software.

Results

A woman in her seventies was repeatedly referred for psychiatric consultation. Eleven different medications were administered daily, because of multimorbidity. A diagnosis of distymia was established, with comorbid mixed pain (partly fulfilling the criteria of somatic symptom disorder) and substance use disorder (opioids). After the first assessment, six follow-up visits were needed during hospitalization. Mirtazapine and benzodiazepines were introduced. Beside the pharmacological intervention, conflict mediation was performed in the relationship with the patient, her relatives, the ward personnel and the GP, to develop a long-term rehabilitation project. Pros and cons of online computer-assisted prescription software were discussed together with the ward personnel, as well.

Conclusions

Computer-assisted decision-making in psychotropic prescription is becoming more common and feasible. The use of available software may contribute to safety, effectiveness and cost-effectiveness of clinical decision-making. Risks are also possible: depending for example from regional differences in prescription indications, different guidelines, pharmacogenomics, frequency with which databases are updated, sponsorships, possible conflicts of interest, and real clinical significance of highlighted interactions – all issues the clinician willing to benefit from this modern tools should pay attention to.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Type
W16
Copyright
Copyright © European Psychiatric Association 2016
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