Evidence map›Paper›PMID 28814330›Full record

ArticleHarm reduction journal2017

Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy--first long-term case study.

Samuel S Allemann, Kenneth M Dürsteler, Johannes Strasser, Marc Vogel, Marcel Stoeckle, Kurt E Hersberger, Isabelle Arnet

Open access · goldAbstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Harm reduction journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 86% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.

  1. Pooled it
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

7 authors at 2 institutions in 1 country.

Samuel S AllemannPharmaceutical Care Research Group, Pharmaceutical Sciences, University of Basel, Basel, Switzerland. s.allemann@unibas.ch.
Kenneth M DürstelerDivision of Addictive Disorders, University of Basel Psychiatric Hospital, Basel, Switzerland.
Johannes StrasserDivision of Addictive Disorders, University of Basel Psychiatric Hospital, Basel, Switzerland.
Marc VogelDivision of Addictive Disorders, University of Basel Psychiatric Hospital, Basel, Switzerland.
Marcel StoeckleDepartment of Infectious Diseases, University Hospital of Basel, Basel, Switzerland.
Kurt E HersbergerPharmaceutical Care Research Group, Pharmaceutical Sciences, University of Basel, Basel, Switzerland.
Isabelle ArnetPharmaceutical Care Research Group, Pharmaceutical Sciences, University of Basel, Basel, Switzerland.
University of Basel · CHUniversity Hospital of Basel · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with substance use disorders grow older thanks to effective treatments. Together with a high prevalence of comorbidities, psychological problems, and low social support, these patients are at high risk for medication non-adherence. Established treatment facilities face challenges to accommodate these complex patients within their setting. Electronic medication management aids (e-MMAs) might be appropriate to simultaneously monitor and improve adherence for these patients. CASE PRESENTATION: We report the first long-term experiences with a novel remote electronic medication supply model for two opioid-dependent patients with HIV. John (beginning dementia, 52 years, 6 tablets daily at 12 am) and Mary (frequent drug holidays, 48 years, 5-6 tablets daily at 8 pm) suffered from disease progression due to non-adherence. We electronically monitored adherence and clinical outcomes during 659 (John) and 953 (Mary) days between July 2013 and April 2016. Both patients retrieved over 90% of the pouches within 75 min of the scheduled time. Technical problems occurred in 4% (John) and 7.2% (Mary) of retrievals, but on-site support was seldom required. Viral loads fell below detection limits during the entire observation period.

conclusionsContinuous medication supply and persistence with treatment of over 1.7 years, timing adherence of more than 90%, and suppressed HIV viral load are first results supporting the feasibility of the novel supply model for patients on opioid-assisted treatment and polypharmacy.

Indexed as

Electronic PrescribingPolypharmacyAnti-HIV AgentsFemaleHIV InfectionsHumansLongitudinal StudiesMaleMedication AdherenceMedication Therapy ManagementMiddle AgedOpioid-Related DisordersTreatment OutcomeViral LoadAnti-HIV AgentsInterprofessional collaborationMedication adherenceMedication management aidOld ageSubstance use disorders

Identifiers

PMID28814330
PMCPMC5559800
OpenAlexW2748687251

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.