Evidence map›Paper›PMID 40978502›Full record

ArticleFrontiers in drug safety and regulation2025

Developing decision support algorithm for hypertension medications for use in a digital therapeutic system.

Jeannie K Lee, J Skye Nicholas, Amani Albadawi, Kathleen C Insel

Abstract read
In one paragraph

Article in Frontiers in drug safety and regulation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Jeannie K LeeDepartment of Pharmacy Practice & Science, The University of Arizona R. Ken Coit College of Pharmacy, Tucson, AZ, United States.
J Skye NicholasDepartment of Pharmacy Practice & Science, The University of Arizona R. Ken Coit College of Pharmacy, Tucson, AZ, United States.
Amani AlbadawiDepartment of Pharmacy Practice & Science, The University of Arizona R. Ken Coit College of Pharmacy, Tucson, AZ, United States.
Kathleen C InselThe University of Arizona College of Nursing, Tucson, AZ, United States.

Funding

Improving Hypertension Medication Adherence for Older AdultsR01NR018469 · NINR · UNIVERSITY OF ARIZONA · PI LEE, JEANNIE KIM, ROGERS, WENDY A · 2020 to 2024
$3.1M
NINR NIH HHS R01 NR018469
6 · The paper itself

Abstract

Introduction: Adherence to hypertension medications is low among older people, and there is limited guidance on the safety of taking a missed medication. Knowing the window of time when an older individual can safely take a missed medication could improve adherence and reduce the fear of overdosing. We developed and implemented a decision support algorithm for missed hypertension medications in a digital therapeutic system designed to facilitate self-management of hypertension medications and blood pressure among older adults. Methods: The medication formulary included hypertension medications and doses available in the United States that are safe for use by older people. The decision support algorithm was developed through a literature review of clinical and pharmacokinetic studies and knowledge of the pharmacology of aging (pharmacokinetics and pharmacodynamics). The algorithm was peer-reviewed and checked against available provider and patient instructions about missed hypertension medications. Case scenarios were used to code the algorithm into the app. Results: A total of 117 hypertension medications and combination products were included in the formulary of the Discussion: The MEDSReM

Indexed as

decision supportdigital therapeutichypertensionmedication adherencemissed doseolder adults

Identifiers

PMID40978502
PMCPMC12443122

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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 OpenQuestion graph.