Evidence map›Paper›PMID 30582181›Full record

ArticleClinical cardiology2019

Development of an entirely remote, non-physician led hypertension management program.

Naomi D L Fisher, Liliana E Fera, Jacqueline R Dunning, Sonali Desai, Lina Matta, Victoria Liquori, Jaclyn Pagliaro, Erika Pabo, Mary Merriam, Calum A MacRae and 1 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Clinical cardiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 72 citations in OpenAlex.

  1. Article
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  3. National Patterns of Remote Patient Monitoring Service Availability at US Hospitals.Circulation. Cardiovascular quality and outcomes · 2025
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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

11 authors at 1 institution in 1 country.

Naomi D L FisherDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts.ORCID https://orcid.org/0000-0003-1649-1441
Liliana E FeraDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts.
Jacqueline R DunningDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts.
Sonali DesaiDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts.
Lina MattaDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts.
Victoria LiquoriDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts.
Jaclyn PagliaroDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts.
Erika PaboDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts.
Mary MerriamDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts.
Calum A MacRaeDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts.
Benjamin M SciricaDivision of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts.
Brigham and Women's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension remains poorly controlled on the population level. National rates of control, even when defined leniently by BP < 140/90 mm Hg, are only ~50%. As growing healthcare costs coincide with tighter blood pressure (BP) targets, innovative management programs are needed to maximize efficiency of care delivery and optimize control. HYPOTHESIS: We aimed to develop a remote, navigator-led hypertension innovation program that would leverage algorithmic care pathways, home BP measurements and patient coaching to allow rapid and complete medication titration.

methodsA multidisciplinary group of clinical experts from subspecialties and primary care collaborated to develop an evidence-based clinical algorithm, designed to be automated and administered by non-licensed patient navigators. In the development stage, a prospective pilot cohort of 130 patients was managed by nurse practitioners and pharmacists to ensure efficacy and safety. Patients with clinic BP ≥ 140/90 mm Hg were enrolled and given a Bluetooth-enabled BP device. Home BPs were transmitted automatically into the electronic medical record. Medication titrations were performed by phone at biweekly intervals, based upon weekly average BP, until home BP was controlled at <135/85 mm Hg.

resultsEighty-one percent of all enrolled, and 91% of those patients who regularly measured home BP achieved goal, in an average of 7 weeks. Control was reached similarly across races, genders, and ages.

conclusionsA home-based BP control program run by non-physicians can provide efficient, effective and rapid control, suggesting an innovative paradigm for hypertension management. This program is effective, sustainable, adaptable, and scalable to fit current and emerging national systems of healthcare.

Indexed as

Disease ManagementBlood PressureBlood Pressure Monitoring, AmbulatoryDelivery of Health CareFemaleHumansHypertensionMaleMiddle AgedPilot ProjectsProgram DevelopmentProspective StudiesTelemedicineUnited Statesalgorithmhome blood pressurepatient navigationremote

Identifiers

PMID30582181
PMCPMC6712321
OpenAlexW2906102536

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.