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

Overview of attention for article published in Harm Reduction Journal, August 2017
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  • Above-average Attention Score compared to outputs of the same age (61st percentile)

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Title
Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy––first long-term case study
Published in
Harm Reduction Journal, August 2017
DOI 10.1186/s12954-017-0182-x
Pubmed ID
Authors

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

Abstract

Patients 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. 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. Continuous 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.

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The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 24%
Researcher 15 14%
Student > Ph. D. Student 14 13%
Student > Bachelor 8 8%
Other 7 7%
Other 12 11%
Unknown 25 24%
Readers by discipline Count As %
Medicine and Dentistry 19 18%
Nursing and Health Professions 18 17%
Psychology 11 10%
Social Sciences 6 6%
Pharmacology, Toxicology and Pharmaceutical Science 5 5%
Other 16 15%
Unknown 31 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 September 2017.
All research outputs
#7,480,117
of 22,997,544 outputs
Outputs from Harm Reduction Journal
#672
of 930 outputs
Outputs of similar age
#108,670
of 287,821 outputs
Outputs of similar age from Harm Reduction Journal
#22
of 27 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 930 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 29.0. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,821 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.