Abstract | ||
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Poor adherence and persistence to long-term medication is a growing concern worldwide. Despite their importance, tools that facilitate the identification of patients who show poor adherence and persistence rates are limited. Herein we present a framework we have developed to assist in assessing adherence and persistence rates. We demonstrate the framework's features using production electronic medical record data from a general medical practice in the context of analysis of antihypertensive and antidepressant prescribing. The framework is flexible and extensible and has the potential to be used as a tool to improve the management of patients on long-term medication either to benchmark quality over a specified evaluation period or for the direct identification of specific patients that would benefit from immediate follow-up. |
Year | DOI | Venue |
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2009 | 10.3233/978-1-60750-044-5-547 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
ambulatory care information systems,clinical audit,long term care,non-adherence,quality indicators | Persistence (computer science),Medical record,Medical emergency,Medicine | Conference |
Volume | ISSN | Citations |
150 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thusitha Mabotuwana | 1 | 10 | 5.54 |
Jim Warren | 2 | 50 | 7.60 |