Evidence map›Paper›PMID 35928793›Full record

ArticleNeuropsychiatric disease and treatment2022

Healthcare Provider Engagement with a Novel Dashboard for Tracking Medication Ingestion: Impact on Treatment Decisions and Clinical Assessments for Adults with Schizophrenia.

Jeffrey M Cochran, Hui Fang, John G Sonnenberg, Elan A Cohen, Jean-Pierre Lindenmayer, J Corey Reuteman-Fowler

Open access · goldAbstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2022. 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
1.2field-weighted citation impact, top 22% 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, 8 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  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

6 authors at 4 institutions in 1 country.

Jeffrey M CochranOtsuka Pharmaceutical Development & Commercialization, Inc, Princeton, NJ, USA.
Hui FangOtsuka Pharmaceutical Development & Commercialization, Inc, Princeton, NJ, USA.
John G SonnenbergUptown Research Institute, Chicago, IL, USA.
Elan A CohenHassman Research Institute, Marlton, NJ, USA.
Jean-Pierre LindenmayerDepartment of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA.
J Corey Reuteman-FowlerOtsuka Pharmaceutical Development & Commercialization, Inc, Princeton, NJ, USA.
Otsuka (United States) · USHassman Research Institute · USNew York University · USNorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Schizophrenia is a severe, chronic condition accounting for disproportionate healthcare utilization. Antipsychotics can reduce relapse rates, but the characteristics of schizophrenia may hinder medication adherence. A phase 3b open-label clinical trial used aripiprazole tablets with sensor (AS; includes pills with ingestible event-marker, wearable sensor patches and smartphone application) in adults with schizophrenia. This post hoc analysis explored how healthcare providers' (HCPs) usage of a dashboard that provided medication ingestion information impacted treatment decisions and clinical assessments. Patients and Methods: Participants used AS for 3-6 months. HCPs were instructed to check the dashboard regularly, identify features used, and report impact on treatment decisions. After stratifying HCPs by frequency of dashboard checks and resulting treatment decisions, changes from baseline were calculated for Positive and Negative Syndrome Scale (PANSS), Clinical Global Impression (CGI)-Severity of Illness and CGI-Improvement (CGI-I), and Personal and Social Performance (PSP), and compared using Mann-Whitney Results: To ensure sufficient opportunity for AS engagement, 113 participants who completed ≥3 months on study were analyzed. HCPs most often accessed dashboard data regarding medication ingestion and missed doses. HCPs recommended adherence counseling and participant education most often. Participants whose HCPs used the dashboard more and recommended adherence counseling and participant education (n=61) improved significantly more than participants with less dashboard-active HCPs (n=49) in CGI-I mean score (2.9 versus 3.4 [p=0.004]), total PANSS (mean change: -9.2 versus -3.1 [p=0.0002]), PANSS positive subscale (-3.2 versus -1.5 [p=0.003]), PANSS general subscale (-4.3 versus -1.2 [p=0.02]), and Marder factor for negative symptoms (-1.9 versus 0.0 [p=0.03]). Most HCPs found the dashboard easy to use (74%) and helpful for improving conversations with participants about their treatment plan and progress (78%). Conclusion: This provider dashboard may facilitate discussions with patients about regular medication-taking, which can improve patient outcomes.

Indexed as

clinical decision-makingclinical decision supportdigital medicine systempatient–provider communicationschizophrenia

Identifiers

PMID35928793
PMCPMC9343256
OpenAlexW4288056880

What OpenQuestion holds

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LicenceCC BY-NC
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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.