Literature DB >> 23404199

Cost sharing and decreased branded oral anti-diabetic medication adherence among elderly Part D Medicare beneficiaries.

Naomi C Sacks1, James F Burgess, Howard J Cabral, Steven D Pizer, Marie E McDonnell.   

Abstract

BACKGROUND: Although the Medicare Part D coverage gap phase-out should reduce cost-related nonadherence (CRN) among seniors with diabetes, preferential generic prescribing may have already decreased CRN, while smaller numbers of patients using more costly branded oral anti-diabetic (OAD) medications remain vulnerable to CRN.
OBJECTIVE: To estimate the effects of cost sharing in the Part D standard (non-LIS) benefit on adherence to different OAD classes, comparing two classes dominated by inexpensive generic medications and two by more costly branded medications. DESIGN AND PATIENTS: Retrospective cohort study using dispensed prescription data for elderly non-LIS (N=81,047) and LIS (low-income subsidy) (N=150,359) beneficiaries using same class OAD(s) in 2008 and 2009. Logistic regression modeled non-LIS likelihood; LIS and non-LIS patients matched using propensity outcome (N=38,054). Logistic regression, controlling for demographic and health status characteristics, modeled effects of non-LIS coverage on 2009 OAD class adherence. MAIN MEASURES: Main outcome measures were within-class OAD coverage year adherence, with patients considered adherent when days supplied to calendar days ratio at least 0.8. KEY
RESULTS: Non-LIS patients had 0.52 and 0.57 times the odds of branded-only DPP-4 Inhibitor (N=1,812; 95 % CI: 0.43, 0.63; P<0.001) and Thiazolidinedione (TZD) (N=6,290; 95 % CI: 0.52, 0.63; P<0.001) adherence. Most patients (N=32,510; 82 %) used OADs in primarily generic classes, where we found no significant (Biguanides; N=21,377) or small differences (Sulfonylureas/Glinides [N=19,240; OR: 0.91; 95 % CI: 0.86, 0.97; P=0.002]) in adherence odds. Crude adherence rates were sub-optimal when CRN was not a factor (Non-LIS/LIS: Biguanides: 65 %/65 %; Sulfonylureas/Glinides: 66 %/68 %; LIS: DPP-4 Inhibitors: 66 %; TZDs: 67 %).
CONCLUSIONS: Gap elimination would not affect generic, but should reduce branded OAD CRN. Branded copayments may continue to lead to CRN. Policy initiatives and benefit changes targeting both cost deterrents for patients with more complex disease and non-cost generic OAD underuse are recommended.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23404199      PMCID: PMC3682054          DOI: 10.1007/s11606-013-2342-3

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  57 in total

1.  Construction and characteristics of the RxRisk-V: a VA-adapted pharmacy-based case-mix instrument.

Authors:  Kevin L Sloan; Anne E Sales; Chuan-Fen Liu; Paul Fishman; Paul Nichol; Norman T Suzuki; Nancy D Sharp
Journal:  Med Care       Date:  2003-06       Impact factor: 2.983

2.  The Pharmacy-based Cost Group model: validating and adjusting the classification of medications for chronic conditions to the Dutch situation.

Authors:  Leida M Lamers; René C J A van Vliet
Journal:  Health Policy       Date:  2004-04       Impact factor: 2.980

3.  A chronic disease score from automated pharmacy data.

Authors:  M Von Korff; E H Wagner; K Saunders
Journal:  J Clin Epidemiol       Date:  1992-02       Impact factor: 6.437

4.  Cost-lowering strategies used by medicare beneficiaries who exceed drug benefit caps and have a gap in drug coverage.

Authors:  Chien-Wen Tseng; Robert H Brook; Emmett Keeler; W Neil Steers; Carol M Mangione
Journal:  JAMA       Date:  2004-08-25       Impact factor: 56.272

5.  The effect of incentive-based formularies on prescription-drug utilization and spending.

Authors:  Haiden A Huskamp; Patricia A Deverka; Arnold M Epstein; Robert S Epstein; Kimberly A McGuigan; Richard G Frank
Journal:  N Engl J Med       Date:  2003-12-04       Impact factor: 91.245

6.  Impact of an annual dollar limit or "cap" on prescription drug benefits for Medicare patients.

Authors:  Chien-Wen Tseng; Robert H Brook; Emmett Keeler; Carol M Mangione
Journal:  JAMA       Date:  2003-07-09       Impact factor: 56.272

7.  Health insurance status, cost-related medication underuse, and outcomes among diabetes patients in three systems of care.

Authors:  John D Piette; Todd H Wagner; Michael B Potter; Dean Schillinger
Journal:  Med Care       Date:  2004-02       Impact factor: 2.983

8.  Effects of Medicaid drug-payment limits on admission to hospitals and nursing homes.

Authors:  S B Soumerai; D Ross-Degnan; J Avorn; T j McLaughlin; I Choodnovskiy
Journal:  N Engl J Med       Date:  1991-10-10       Impact factor: 91.245

9.  Pharmacy benefits and the use of drugs by the chronically ill.

Authors:  Dana P Goldman; Geoffrey F Joyce; Jose J Escarce; Jennifer E Pace; Matthew D Solomon; Marianne Laouri; Pamela B Landsman; Steven M Teutsch
Journal:  JAMA       Date:  2004-05-19       Impact factor: 56.272

10.  Predictors of medication adherence and associated health care costs in an older population with type 2 diabetes mellitus: a longitudinal cohort study.

Authors:  Rajesh Balkrishnan; Rukmini Rajagopalan; Fabian T Camacho; Sally A Huston; Frederick T Murray; Roger T Anderson
Journal:  Clin Ther       Date:  2003-11       Impact factor: 3.393

View more
  8 in total

1.  Evaluation of discharge medication orders following automatic therapeutic substitution of commonly exchanged drug classes.

Authors:  Sarah Glaholt; Genevieve L Hayes; Christopher S Wisniewski
Journal:  P T       Date:  2014-04

2.  Medicare part D prescription drug program: benefits, unintended consequences and impact on health disparities.

Authors:  Clara E Dismuke; Leonard E Egede
Journal:  J Gen Intern Med       Date:  2013-07       Impact factor: 5.128

3.  Impact of medicare part D plan features on use of generic drugs.

Authors:  Yan Tang; Walid F Gellad; Aiju Men; Julie M Donohue
Journal:  Med Care       Date:  2014-06       Impact factor: 2.983

4.  Utilization and costs of medications associated with CKD mineral and bone disorder in dialysis patients enrolled in Medicare Part D.

Authors:  Akeem A Yusuf; Benjamin L Howell; Christopher A Powers; Wendy L St Peter
Journal:  Am J Kidney Dis       Date:  2014-05-13       Impact factor: 8.860

5.  Predicting Noninsulin Antidiabetic Drug Adherence Using a Theoretical Framework Based on the Theory of Planned Behavior in Adults With Type 2 Diabetes: A Prospective Study.

Authors:  Hervé Tchala Vignon Zomahoun; Jocelyne Moisan; Sophie Lauzier; Laurence Guillaumie; Jean-Pierre Grégoire; Line Guénette
Journal:  Medicine (Baltimore)       Date:  2016-04       Impact factor: 1.889

6.  Patient-reported financial barriers to adherence to treatment in neurology.

Authors:  Lidia Mvr Moura; Eli L Schwamm; Valdery Moura Junior; Michael P Seitz; Daniel B Hoch; John Hsu; Lee H Schwamm
Journal:  Clinicoecon Outcomes Res       Date:  2016-11-17

7.  Giving formulary and drug cost information to providers and impact on medication cost and use: a longitudinal non-randomized study.

Authors:  Chien-Wen Tseng; Grace A Lin; James Davis; Deborah A Taira; Jinoos Yazdany; Qimei He; Randi Chen; Allison Imamura; R Adams Dudley
Journal:  BMC Health Serv Res       Date:  2016-09-21       Impact factor: 2.655

8.  Are patients more adherent to newer drugs?

Authors:  Katharina E Blankart; Frank R Lichtenberg
Journal:  Health Care Manag Sci       Date:  2020-08-08
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.