Evidence map›Paper›PMID 33449097›Full record

Observational studyJAMA network open2021

A Method to Quantify Mean Hypertension Treatment Daily Dose Intensity Using Health Care System Data.

Lillian Min, Jin-Kyung Ha, Carole E Aubert, Timothy P Hofer, Jeremy B Sussman, Kenneth M Langa, Mary Tinetti, Hyungjin Myra Kim, Matthew L Maciejewski, Leah Gillon and 5 more

Open access · goldAbstract readObservational StudyValidation Study
In one paragraph

Observational study in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 10% of its field
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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

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  6. Late kidney transplant dysfunction related to proximal aorto-iliac occlusive disease.Transplant international : official journal of the European Society for Organ Transplantation · 2026
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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

15 authors at 8 institutions in 2 countries.

Lillian MinVeterans Affairs Geriatric Research, Education, and Clinical Center, Veterans Affairs Ann Arbor Medical Center, Ann Arbor, Michigan.
Jin-Kyung HaDivision of Geriatric and Palliative Medicine, Department of Medicine, University of Michigan, Ann Arbor.
Carole E AubertVeterans Affairs Center for Clinical Management Research, Health Services Research and Development Center of Innovation, Ann Arbor, Michigan.
Timothy P HoferVeterans Affairs Center for Clinical Management Research, Health Services Research and Development Center of Innovation, Ann Arbor, Michigan.
Jeremy B SussmanVeterans Affairs Center for Clinical Management Research, Health Services Research and Development Center of Innovation, Ann Arbor, Michigan.
Kenneth M LangaVeterans Affairs Geriatric Research, Education, and Clinical Center, Veterans Affairs Ann Arbor Medical Center, Ann Arbor, Michigan.
Mary TinettiSection of Geriatrics, Department of Medicine, Yale School of Medicine, New Haven, Connecticut.
Hyungjin Myra KimConsulting for Statistics, Computing & Analytics Research, University of Michigan, Ann Arbor.
Matthew L MaciejewskiCenter of Innovation to Accelerate Discovery and Practice Transformation, Veterans Affairs Healthcare System, Durham, North Carolina.
Leah GillonVeterans Affairs Center for Clinical Management Research, Health Services Research and Development Center of Innovation, Ann Arbor, Michigan.
Angela LarkinVeterans Affairs Center for Clinical Management Research, Health Services Research and Development Center of Innovation, Ann Arbor, Michigan.
Chiao-Li ChanDivision of Geriatric and Palliative Medicine, Department of Medicine, University of Michigan, Ann Arbor.
Eve A KerrVeterans Affairs Center for Clinical Management Research, Health Services Research and Development Center of Innovation, Ann Arbor, Michigan.
Dawn BravataVeterans Affairs Health Services Research and Development Center for Health Information and Communication, Richard L. Roudebush Veterans Affairs Medical Center, Indianapolis, Indiana.
William C CushmanDepartment of Preventive Medicine, University of Tennessee Health Science Center, Memphis.
University of Michigan–Ann Arbor · USHealth Services Research & Development · USVA Center for Clinical Management Research · USDurham VA Health Care System · USMemphis VA Medical Center · USRegenstrief Institute · USUniversity Hospital of Bern · CHYale University · US

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
Optimizing Treatment of Older Adults with Hypertension: A Net Benefit Analysis of Falls Injury vs Cardiovascular OutcomesR01AG047178 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MIN, LILLIAN CHIANG · 2015 to 2019
$1.7M
HSRD VA I01 HX001611HSRD VA IK6 HX003157NIA NIH HHS P30 AG024824NIA NIH HHS R01 AG047178
6 · The paper itself

Abstract

Importance: Simple measures of hypertension treatment, such as achievement of blood pressure (BP) targets, ignore the intensity of treatment once the BP target is met. High-intensity treatment involves increased treatment burden and can be associated with potential adverse effects in older adults. A method was previously developed to identify older patients receiving intense hypertension treatment by low BP and number of BP medications using national Veterans Health Administration and Medicare Part D administrative pharmacy data to evaluate which BP medications a patient is likely taking on any given day. Objective: To further develop and validate a method to more precisely quantify dose intensity of hypertension treatment using only health system administrative pharmacy fill data. Design, Setting, and Participants: Observational, cross-sectional study of 319 randomly selected older veterans in the national Veterans Health Administration health care system who were taking multiple BP-lowering medications and had a total of 3625 ambulatory care visits from July 1, 2011, to June 30, 2013. Measure development and medical record review occurred January 1, 2017, through November 30, 2018, and data analysis was conducted from December 1, 2019, to August 31, 2020. Main Outcomes and Measures: For each BP-lowering medication, a moderate hypertension daily dose (HDD) was defined as half the maximum dose above which no further clinical benefit has been demonstrated by that medication in hypertension trials. Patients' total HDD was calculated using pharmacy data (pharmacy HDDs), accounting for substantial delays in refills (>30 days) when a patient's pill supply was stretched (eg, cutting existing pills in half). As an external comparison, the pharmacy HDDs were correlated with doses manually extracted from clinicians' visit notes (clinically noted HDDs). How well the pharmacy HDDs correlated with clinically noted HDDs was calculated (using C statistics). To facilitate interpretation, HDDs were described in association with the number of medications. Results: A total of 316 patients (99.1%) were male; the mean (SD) age was 75.6 (7.2) years. Pharmacy HDDs were highly correlated (r = 0.92) with clinically noted HDDs, with a mean (SD) of 2.7 (1.8) for pharmacy HDDs and 2.8 (1.8) for clinically noted HDDs. Pharmacy HDDs correlated with high-intensity, clinically noted HDDs ranging from a C statistic of 92.8% (95% CI, 92.0%-93.7%) for 2 or more clinically noted HDDs to 88.1% (95% CI, 85.5%-90.6%) for 6 or more clinically noted HDDs. Conclusions and Relevance: This study suggests that health system pharmacy data may be used to accurately quantify hypertension regimen dose intensity. Together with clinic-measured BP, this tool can be used in future health system-based research or quality improvement efforts to fine-tune, manage, and optimize hypertension treatment in older adults.

Indexed as

AlgorithmsVeteransAgedAntihypertensive AgentsCross-Sectional StudiesFemaleHumansHypertensionMalePharmaceutical ServicesUnited StatesAntihypertensive Agents

Identifiers

PMID33449097
PMCPMC7811181
OpenAlexW3118553656

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.