Patient-reported financial barriers to adherence to treatment in neurology

Patient-reported financial barriers to adherence to treatment in neurology

Lidia MVR Moura;Eli L Schwamm;Valdery Moura Junior;Michael P Seitz;Daniel B Hoch;John Hsu;Lee H Schwamm;
clinicoeconomics and outcomes research 2016 Vol. 8 pp. 685--694
234
moura2016patientreportedclinicoeconomics

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%

Citation

ID: 7372
Ref Key: moura2016patientreportedclinicoeconomics
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
7372
Unique Identifier:
10.2147/CEOR.S119971
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet