Patient-reported financial barriers to adherence to treatment in neurology
Clicks: 214
ID: 7372
2016
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
73.3
/100
214 views
171 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
Patient-reported financial barriers to adherence to treatment in neurology Lidia MVR Moura,1 Eli L Schwamm,1 Valdery Moura Junior,1 Michael P Seitz,1 Daniel B Hoch,1 John Hsu,2,3 Lee H Schwamm1 1Department of Neurology, 2Mongan Institute for Health Policy, Massachusetts General Hospital, 3Department of Medicine and Department of Health Care Policy, Harvard Medical School, Boston, MA, USA Objective: Many effective medical therapies are available for treating neurological diseases, but these therapies tend to be expensive and adherence is critical to their effectiveness. We used patient-reported data to examine the frequency and determinants of financial barriers to medication adherence among individuals treated for neurological disorders. Patients and methods: Patients completed cross-sectional surveys on iPads as part of routine outpatient care in a neurology clinic. Survey responses from a 3-month period were collected and merged with administrative sources of demographic and clinical information (eg, insurance type). We explored the association between patient characteristics and patient-reported failure to refill prescription medication due to cost in the previous 12 months, termed here as “nonadherence”. Results: The population studied comprised 6075 adults who were presented between July and September 2015 for outpatient neurology appointments. The mean age of participants was 56 (standard deviation: 18) years, and 1613 (54%) were females. The patients who participated in the surveys (2992, 49%) were comparable to nonparticipants with respect to gender and ethnicity but more often identified English as their preferred language (94% vs 6%, p<0.01). Among respondents, 9.8%Reference Key |
moura2016patientreportedclinicoeconomics
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
---|---|
Authors | Lidia MVR Moura;Eli L Schwamm;Valdery Moura Junior;Michael P Seitz;Daniel B Hoch;John Hsu;Lee H Schwamm; |
Journal | clinicoeconomics and outcomes research |
Year | 2016 |
DOI | 10.2147/CEOR.S119971 |
URL | |
Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.