Cited by 349Medication Adherence and ComplianceBlood Pressure and Hypertension StudiesAtrial Fibrillation Management and Outcomes

Medication adherence and blood pressure control: a scientific statement from the American Heart Association

Open access
Choudhry, Niteesh K., Kronish, Ian M., Vongpatanasin, Wanpen, Ferdinand, Keith C., Pavlik, Valory N., Egan, Brent M., Schoenthaler, Antoinette, Houston Miller, Nancy +2 more·2022·Hypertension

Abstract

The widespread treatment of hypertension and resultant improvement in blood pressure have been major contributors to the dramatic age-specific decline in heart disease and stroke. Despite this progress, a persistent gap remains between stated public health targets and achieved blood pressure control rates. Many factors may be important contributors to the gap between population hypertension control goals and currently observed control levels. Among them is the extent to which patients adhere to prescribed treatment. The goal of this scientific statement is to summarize the current state of knowledge of the contribution of medication nonadherence to the national prevalence of poor blood pressure control, methods for measuring medication adherence and their associated challenges, risk factors for antihypertensive medication nonadherence, and strategies for improving adherence to antihypertensive medications at both the individual and health system levels.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/hyp.0000000000000203

Cites

112 of 112 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

7 of the 119 references couldn’t be matched to a known paper.

Research works printed but not linked: 6

  1. [6]Centers for Disease Control and Prevention. Vital signs: awareness and treatment of uncontrolled hypertension among adults–United States, 2003–2010. MMWR Morb Mortal Wkly Rep. 2012; 61: 703– 709. 22951452
  2. [31]Diaz E, Levine HB, Sullivan MC, Sernyak MJ, Hawkins KA, Cramer JA, Woods SW. Use of the Medication Event Monitoring System to estimate medication compliance in patients with schizophrenia. J Psychiatry Neurosci. 2001; 26: 325– 329. 11590972 PMC167186
  3. [90]Volpp KG, Troxel AB, Long JA, Ibrahim SA, Appleby D, Smith JO, Jaskowiak J, Helweg-Larsen M, Doshi JA, Kimmel SE. A randomized controlled trial of negative co-payments: the CHORD trial. Am J Manag Care. 2015; 21: e465– e473. 26625506 PMC6171502
  4. [100]Krumme AA, Isaman DL, Stolpe SF, Dougherty S, Choudhry NK. Prevalence, effectiveness, and characteristics of pharmacy-based medication synchronization programs. Am J Manag Care. 2016; 22: 179– 186. 27023023
  5. [109]Castellano JM, Sanz G, Peñalvo JL, Bansilal S, Fernández-Ortiz A, Alvarez L, Guzmán L, Linares JC, García F, D’Aniello F, A polypill strategy to improve adherence: results from the FOCUS project. J Am Coll Cardiol. 2014; 64: 2071– 2082. doi: 10.1016/j.jacc.2014.08.021 25193393 · DOI · Paper page
  6. [114]Tucker KL, Sheppard JP, Stevens R, Bosworth HB, Bove A, Bray EP, Earle K, George J, Godwin M, Green BB, Self-monitoring of blood pressure in hypertension: a systematic review and individual patient data meta-analysis. PLoS Med. 2017; 14: e1002389. doi: 10.1371/journal.pmed.1002389 28926573 PMC5604965 · DOI · Paper page

Cited by

Sorted by citations

Authors
Choudhry, N. K., Kronish, I. M., Vongpatanasin, W., Ferdinand, K. C., Pavlik, V. N., Egan, B. M., Schoenthaler, A., Houston Miller, N., Hyman, D. J., & on behalf of the American Heart Association Council on Hypertension; Council on Cardiovascular and Stroke Nursing; and Council on Clinical Cardiology
Venue
Hypertension
Published
2022-01
Volume
79
Issue
1
Pages
e1-e14
ISSN
  • 0194-911X (ISSN-L)
  • 1524-4563
OpenAlex
W3204423521
Cited by
349
References
119
Citations by year
2026: 89 · 2025: 68 · 2024: 62 · 2023: 85 · 2022: 41 · 2021: 4
FWCI
52.39
Type
journal article
Language
en
Open access
Locations
  • Hypertension (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Agency for Healthcare Research and Quality (R01 HS026522)
  • National Heart, Lung, and Blood Institute (R25HL105444)
  • National Institute on Minority Health and Health Disparities (R01MD013769)
Topics
  • Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Atrial Fibrillation Management and Outcomes
Keywords
medication adherence, medication non-adherence, blood pressure control, antihypertensive drugs, adherence measurement, risk factors for non-adherence, adherence interventions, health system interventions, cardiovascular disease prevention
MeSH terms
American Heart Association, Antihypertensive Agents, Blood Pressure, Humans, Hypertension, United States, Medication Adherence

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review