Evidence map›Paper›PMID 29528032›Full record

ArticleEpidemiology and psychiatric sciences2018

Can a digital medicine system improve adherence to antipsychotic treatment?

D Papola, C Gastaldon, G Ostuzzi

Abstract read
In one paragraph

Article in Epidemiology and psychiatric sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

3 authors.

D PapolaDepartment of Neuroscience,Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona,Verona,Italy.
C GastaldonDepartment of Neuroscience,Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona,Verona,Italy.
G OstuzziDepartment of Neuroscience,Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona,Verona,Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A substantial proportion of people with mental health conditions do not adhere to prescribed pharmacological treatments. Poor adherence is probably one of the most critical elements contributing to relapse in people with schizophrenia and other severe mental disorders. In order to tackle this global issue, in November 2017 the Food and Drug Administration approved a tablet formulation of the atypical antipsychotic aripiprazole embedded with a novel digital adherence-assessment device. In this commentary, we critically appraised the potential beneficial and harmful consequences of this new digital formulation of aripiprazole, and we highlighted expected implications for clinical practice.

Indexed as

Medication AdherenceTelemedicineAntipsychotic AgentsAripiprazoleEvidence-Based PracticeHumansPsychotic DisordersUnited StatesUnited States Food and Drug AdministrationAntipsychotic AgentsAripiprazoleAntipsychoticsevidence-based psychiatrypharmacological marketingpsychosis

Identifiers

PMID29528032
PMCPMC6998860

What OpenQuestion holds

Textmetadata
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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.