Back to Search
Start Over
Novel remote electronic medication supply model for opioid-dependent outpatients with polypharmacy––first long-term case study
- Source :
- Harm Reduction Journal, Vol 14, Iss 1, Pp 1-8 (2017)
- Publication Year :
- 2017
- Publisher :
- BMC, 2017.
-
Abstract
- Abstract 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.
Details
- Language :
- English
- ISSN :
- 14777517
- Volume :
- 14
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Harm Reduction Journal
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.7d4ab6fc487748f1ad30ce43f5ebb2f3
- Document Type :
- article
- Full Text :
- https://doi.org/10.1186/s12954-017-0182-x