Literature DB >> 31679429

National Rates of Nonadherence to Antihypertensive Medications Among Insured Adults With Hypertension, 2015.

Tiffany E Chang1,2, Matthew D Ritchey1, Soyoun Park1, Anping Chang1,2, Erika C Odom1, Jeffrey Durthaler1,2, Sandra L Jackson1, Fleetwood Loustalot1.   

Abstract

Despite the importance of antihypertensive medication therapy for blood pressure control, no single data system provides estimates of medication nonadherence rates across age groups and health insurance plans types. Using multiple administrative datasets and national survey data, we determined health insurance plan-specific and overall weighted national rates of nonadherence to antihypertensive medications among insured hypertensive US adults in 2015. We used 2015 prescription claims data from Medicare Part D and 3 IBM MarketScan databases (Commercial, Medicaid, Medicare Supplemental) to calculate medication nonadherence rates among hypertensive adults aged ≥18 years with public or private health insurance using the proportion of days covered algorithm. These findings, in combination with National Health Interview Survey findings, were used to project national weighted estimates of nonadherence. We included 23.8 million hypertensive adults who filled 265.8 million prescriptions for antihypertensive medications. Nonadherence differed by health insurance plan type (highest for Medicaid members, 55.4%; lowest for Medicare Part D members, 25.2%). The overall weighted national nonadherence rate was 31.0%, with greater nonadherence among women versus men, younger versus older adults (aged 18-34 years, 58.1%; aged 65-74 years, 24.4%), fixed-dose combination medication nonusers (31.2%) versus users (29.4%), and by pharmacy outlet type (retail only, 30.7%; any mail order, 19.8%). In 2015, almost one-third (≈16.3 million) of insured US adults with diagnosed hypertension were considered nonadherent to their antihypertensive medication regimen, and considerable disparities were evident. Public health and healthcare professionals can use available evidence-based interventions to address nonadherence and improve blood pressure control.

Entities:  

Keywords:  Medicaid; Medicare Part D; blood pressure; hypertension; medication adherence

Mesh:

Substances:

Year:  2019        PMID: 31679429     DOI: 10.1161/HYPERTENSIONAHA.119.13616

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  15 in total

1.  Factors associated with antihypertensive monotherapy among US adults with treated hypertension and uncontrolled blood pressure overall and by race/ethnicity, National Health and Nutrition Examination Survey 2013-2018.

Authors:  Alexander R Zheutlin; Catherine G Derington; Jordan B King; Ransmond O Berchie; Jennifer S Herrick; Dave L Dixon; Jordana B Cohen; Daichi Shimbo; Ian M Kronish; Joseph J Saseen; Paul Muntner; Andrew E Moran; Adam P Bress
Journal:  Am Heart J       Date:  2021-10-16       Impact factor: 5.099

2.  Validation of EHR medication fill data obtained through electronic linkage with pharmacies.

Authors:  Saul Blecker; Samrachana Adhikari; Hanchao Zhang; John A Dodson; Sunita M Desai; Lisa Anzisi; Lily Pazand; Antoinette M Schoenthaler; Devin M Mann
Journal:  J Manag Care Spec Pharm       Date:  2021-10

3.  Herbal or Dietary Supplement Use and Hypertensive Medications: Does the Combination Relate to Medication Adherence and Blood Pressure Control?

Authors:  Catherine S Nagawa; Jessica A Palakshappa; Rajani S Sadasivam; Thomas K Houston
Journal:  J Altern Complement Med       Date:  2020-12-08       Impact factor: 2.579

Review 4.  Exploring a New Theoretical Model to Explain the Behavior of Medication Adherence.

Authors:  Elizabeth Unni; Sun Bae
Journal:  Pharmacy (Basel)       Date:  2022-04-01

5.  Sex differences in the adherence of antihypertensive drugs: a systematic review with meta-analyses.

Authors:  Annalisa Biffi; Federico Rea; Teresa Iannaccone; Amelia Filippelli; Giuseppe Mancia; Giovanni Corrao
Journal:  BMJ Open       Date:  2020-07-08       Impact factor: 2.692

6.  Self-Care Practice and Associated Factors among Hypertensive Patients in Ethiopia: A Systematic Review and Meta-Analysis.

Authors:  Adam Wondmieneh; Getnet Gedefaw; Addisu Getie; Asmamaw Demis
Journal:  Int J Hypertens       Date:  2021-04-09       Impact factor: 2.420

7.  The different risk factors for isolated diastolic hypertension and isolated systolic hypertension: a national survey.

Authors:  Kun Xie; Xiufang Gao; Liwen Bao; Ying Shan; Haiming Shi; Yong Li
Journal:  BMC Public Health       Date:  2021-09-14       Impact factor: 3.295

8.  Proceedings From a National Heart, Lung, and Blood Institute and the Centers for Disease Control and Prevention Workshop to Control Hypertension.

Authors:  Yvonne Commodore-Mensah; Fleetwood Loustalot; Cheryl Dennison Himmelfarb; Patrice Desvigne-Nickens; Vandana Sachdev; Kirsten Bibbins-Domingo; Steven B Clauser; Deborah J Cohen; Brent M Egan; A Mark Fendrick; Keith C Ferdinand; Cliff Goodman; Garth N Graham; Marc G Jaffe; Harlan M Krumholz; Phillip D Levy; Glen P Mays; Robert McNellis; Paul Muntner; Gbenga Ogedegbe; Richard V Milani; Linnea A Polgreen; Lonny Reisman; Eduardo J Sanchez; Laurence S Sperling; Hilary K Wall; Lori Whitten; Jackson T Wright; Janet S Wright; Lawrence J Fine
Journal:  Am J Hypertens       Date:  2022-03-08       Impact factor: 2.689

9.  State and Regional Variation in Prescription- and Payment-Related Promoters of Adherence to Blood Pressure Medication.

Authors:  Peter K Yang; Matthew D Ritchey; Stavros Tsipas; Fleetwood Loustalot; Gregory D Wozniak
Journal:  Prev Chronic Dis       Date:  2020-09-24       Impact factor: 2.830

10.  Assessment of patient and provider attitudes towards therapeutic drug monitoring to improve medication adherence in low-income patients with hypertension: a qualitative study.

Authors:  Kevin B Schesing; Ricardo Chia; Bryan Elwood; Ethan A Halm; Simon J Craddock Lee; Hamza Lodhi; Bryan Wu; Shishir Sharma; Scott A Smith; Robin B Jarrett; Sandeep R Das; Wanpen Vongpatanasin
Journal:  BMJ Open       Date:  2020-11-27       Impact factor: 2.692

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