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Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy––first long-term case study
BACKGROUND: 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 challenge...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559800/ https://www.ncbi.nlm.nih.gov/pubmed/28814330 http://dx.doi.org/10.1186/s12954-017-0182-x |
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author | Allemann, Samuel S. Dürsteler, Kenneth M. Strasser, Johannes Vogel, Marc Stoeckle, Marcel Hersberger, Kurt E. Arnet, Isabelle |
author_facet | Allemann, Samuel S. Dürsteler, Kenneth M. Strasser, Johannes Vogel, Marc Stoeckle, Marcel Hersberger, Kurt E. Arnet, Isabelle |
author_sort | Allemann, Samuel S. |
collection | PubMed |
description | BACKGROUND: 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. 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. CONCLUSIONS: 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. |
format | Online Article Text |
id | pubmed-5559800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55598002017-08-18 Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy––first long-term case study Allemann, Samuel S. Dürsteler, Kenneth M. Strasser, Johannes Vogel, Marc Stoeckle, Marcel Hersberger, Kurt E. Arnet, Isabelle Harm Reduct J Case Study BACKGROUND: 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. 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. CONCLUSIONS: 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. BioMed Central 2017-08-16 /pmc/articles/PMC5559800/ /pubmed/28814330 http://dx.doi.org/10.1186/s12954-017-0182-x Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Case Study Allemann, Samuel S. Dürsteler, Kenneth M. Strasser, Johannes Vogel, Marc Stoeckle, Marcel Hersberger, Kurt E. Arnet, Isabelle Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy––first long-term case study |
title | Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy––first long-term case study |
title_full | Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy––first long-term case study |
title_fullStr | Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy––first long-term case study |
title_full_unstemmed | Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy––first long-term case study |
title_short | Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy––first long-term case study |
title_sort | novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy––first long-term case study |
topic | Case Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5559800/ https://www.ncbi.nlm.nih.gov/pubmed/28814330 http://dx.doi.org/10.1186/s12954-017-0182-x |
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