Evidence map›Paper›PMID 40958894›Full record

ArticleEpilepsy & behavior reports2025

Personalized adherence interventions using medication adherence technologies in polypharmacy management in epilepsy: An interprofessional case report.

Micheline C Sarbach, Stephan Rüegg, Samuel S Allemann, Isabelle Arnet

Abstract readCase Reports
In one paragraph

Article in Epilepsy & behavior reports, 2025. 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. Review
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

4 authors.

Micheline C SarbachPharmaceutical Care Research Group, Dept. Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland.
Stephan RüeggNeurology Clinic, University Hospital Basel, Petersgraben 4, 4031 Basel, Switzerland.
Samuel S AllemannPharmaceutical Care Research Group, Dept. Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland.
Isabelle ArnetPharmaceutical Care Research Group, Dept. Pharmaceutical Sciences, University of Basel, Klingelbergstrasse 50, 4056 Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a male patient with symptomatic multifocal epilepsy struggling with medication adherence. He accepted escalating adherence interventions with conventional dosing aids such as pillboxes and medication adherence technologies (MATech) including a smart medication dispensing and adherence device (SMAD). Adherence metrics and drug levels were continuously monitored by electronic monitoring (EM) and therapeutic drug monitoring (TDM). Initially, adherence metrics with pre-filled punch cards supplied by a community pharmacy showed 64% taking adherence, 63% timing adherence, and 47% correctly dosed days, including a five-day medication holiday. Adherence improved with a pharmacy-filled SMAD, reaching 93% taking adherence, 90% timing adherence, 86% correctly dosed days, and no medication holiday. No epileptic seizures were noticed during periods with EM. The patient was satisfied with the SMAD while struggling with other adherence tools. Adherence tended to decrease once adherence reminders were removed. In conclusion, we emphasize the importance of personalized adherence strategies and shared decision-making. This case highlights the positive impact of an interprofessional adherence improvement program, integrating efforts from researchers, neurologists, and community pharmacists.

Indexed as

Electronic monitoringEpilepsyInterprofessional careMedication adherenceMedication adherence technologiesShared decision makingTherapeutic drug monitoring

Identifiers

PMID40958894
PMCPMC12434990

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Registered trials

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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.