Evidence map›Paper›PMID 39229724›Full record

ArticleHypertension (Dallas, Tex. : 1979)2024

Use and Cost Patterns of Antihypertensive Medications in the United States From 1996 to 2021.

Joshua A Jacobs, Anthony Rodgers, Brandon K Bellows, Inmaculada Hernandez, Nelson Wang, Catherine G Derington, Jordan B King, Alexander R Zheutlin, Paul K Whelton, Brent M Egan and 2 more

Abstract read
In one paragraph

Article in Hypertension (Dallas, Tex. : 1979), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Global trends in hypertension prevalence, awareness, treatment, and control.Current opinion in nephrology and hypertension · 2026
    Review
  5. Article
  6. The probioticGut microbes · 2025
    Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Joshua A JacobsIntermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City (J.A.J., C.G.D., J.B.K., A.P.B.).ORCID 0000-0002-9621-9060
Anthony RodgersThe George Institute for Global Health, University of New South Wales, Sydney, Australia (A.R., N.W.).ORCID 0000-0003-1282-1896
Brandon K BellowsDivision of General Medicine, Columbia University Medical Center, New York (B.K.B.).ORCID 0000-0003-1395-6047
Inmaculada HernandezDivision of Clinical Pharmacy, University of California, San Diego, Skaggs School of Pharmacy and Pharmaceutical Sciences, La Jolla (I.H.).ORCID 0000-0002-0118-4986
Nelson WangThe George Institute for Global Health, University of New South Wales, Sydney, Australia (A.R., N.W.).
Catherine G DeringtonIntermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City (J.A.J., C.G.D., J.B.K., A.P.B.).ORCID 0000-0001-7382-4607
Jordan B KingIntermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City (J.A.J., C.G.D., J.B.K., A.P.B.).ORCID 0000-0002-6783-7951
Alexander R ZheutlinDivision of Cardiology, Feinberg School of Medicine, Northwestern University, Chicago, IL (A.R.Z.).ORCID 0000-0002-5578-782X
Paul K WheltonDepartments of Epidemiology and Medicine, Tulane University Health Sciences Center, New Orleans, LA (P.K.W.).ORCID 0000-0002-2225-383X
Brent M EganImproving Health Outcomes, American Medical Association, Greenville, SC (B.M.E.).ORCID 0000-0002-1470-5875
William C CushmanDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis (W.C.C.).ORCID 0000-0001-7162-2972
Adam P BressIntermountain Healthcare Department of Population Health Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City (J.A.J., C.G.D., J.B.K., A.P.B.).ORCID 0000-0002-2259-5039

Funding

Informing optimal first-line antihypertensive therapy: A rigorous comparative effectiveness analysis of ARBs vs. ACEIs on long-term risk of dementia, cancer, heart disease, and quality of lifeR01AG074989 · NIA · UNIVERSITY OF PENNSYLVANIA · PI BRESS, ADAM P, COHEN, JORDANA B. · 2022 to 2025
$3.3M
Patient Level Prediction of Clinical Outcomes and Cost-Effectiveness in SPRINT (Optimize-SPRINT)R01HL139837 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRESS, ADAM P, MORAN, ANDREW EDWARD · 2018 to 2021
$3.2M
Guiding next steps for SPRINT-MIND implementation: Identifying high-benefit subgroups and comparative effects of ARB- vs. ACEI-based regimensR01AG065805 · NIA · UNIVERSITY OF UTAH · PI BRESS, ADAM P · 2020 to 2023
$2.7M
Using pharmacoepidemiology to optimize antihypertensive medication use to prevent aging-related multimorbidity: Midcareer investigator award in patient-oriented research and mentoring.K24AG080168 · NIA · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Adam P Bress · 2023 to 2026
$793k
Comparing the value of intensive systolic blood pressure treatment implementation strategiesK01HL140170 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BELLOWS, BRANDON K · 2018 to 2022
$709k
NHLBI NIH HHS K01 HL140170NHLBI NIH HHS R01 HL139837NIA NIH HHS K24 AG080168NIA NIH HHS R01 AG065805NIA NIH HHS R01 AG074989
6 · The paper itself

Abstract

backgroundAntihypertensive medication use patterns have likely been influenced by changing costs and accessibility over the past 3 decades. This study examines the relationships between patent exclusivity loss, medication costs, and national health policies on antihypertensive medication use.

methodsUsing 1996 to 2021 Medical Expenditure Panel Survey data of US adults with hypertension taking at least 1 antihypertensive medication, we conducted a cross-sectional analysis. We explored the associations between patent exclusivity loss, per-pill costs, and Medicare Part D enactment on medication use over time, focusing on the most commonly used medications (lisinopril, amlodipine, losartan, hydrochlorothiazide, and metoprolol).

resultsThe unweighted sample comprised 50 095 US adults (mean age, 62 years; 53% female). The survey-weighted number of adults taking antihypertensive medications increased from 22 million (95% CIs, 20-23 million) to 55 million (95% CI, 51-60 million) between 1996 and 2021. Loss of patent exclusivity led to increased medication fills, notably for lisinopril, amlodipine, and losartan, which all exhibited within-class dominance. However, per-pill cost decreases coinciding with Medicare Part D did not increase the number of individuals treated or the use of specific antihypertensive medications or classes.

conclusionsThe increase in antihypertensive medication use over the past decades highlights the significant impact of loss of patent exclusivity on the uptake in the use of specific medications. These findings underscore the complexity of factors influencing medication use, beyond cost reductions alone, and suggest that policies need to consider multiple facets to effectively improve antihypertensive medication accessibility and utilization.

Indexed as

Antihypertensive AgentsHypertensionAdultAgedCross-Sectional StudiesDrug CostsFemaleHumansMaleMedicare Part DMiddle AgedUnited StatesAntihypertensive Agentsantihypertensive agentsblood pressuredrug industrydrugs, genericessential hypertensionhealthcare costsmedicare part D

Identifiers

PMID39229724
PMCPMC11483193

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.