Evidence map›Paper›PMID 41258999›Full record

Trial reportAmerican journal of hypertension2026

Testing Optical Character Recognition of Home Blood Pressure Measurements, a Randomized Trial.

Austin J Strom, Esra'a Khader, Philip M Polgreen, Shelby L Francis, Alberto M Segre, Ted Herman, Lisa M Antes, Amanda R Karanikolas, Linnea A Polgreen

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in American journal of hypertension, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

9 authors.

Austin J StromDepartment of Internal Medicine, University of Iowa, Iowa City, IA, United States.
Esra'a KhaderDepartment of Pharmacy Practice and Science, University of Iowa, Iowa City, IA, United States.
Philip M PolgreenDepartment of Internal Medicine, University of Iowa, Iowa City, IA, United States.ORCID 0000-0002-0630-5898
Shelby L FrancisDepartment of Internal Medicine, University of Iowa, Iowa City, IA, United States.
Alberto M SegreDepartment of Computer Science, University of Iowa, Iowa City, IA, United States.
Ted HermanDepartment of Computer Science, University of Iowa, Iowa City, IA, United States.
Lisa M AntesDepartment of Internal Medicine, University of Iowa, Iowa City, IA, United States.
Amanda R KaranikolasDepartment of Internal Medicine, University of Iowa, Iowa City, IA, United States.
Linnea A PolgreenDepartment of Pharmacy Practice and Science, University of Iowa, Iowa City, IA, United States.ORCID 0000-0002-3926-5933

Funding

University of Iowa Institute for Clinical and Translational ScienceUM1TR004403 · NCATS · UNIVERSITY OF IOWA · PI Marlan R Hansen, Patricia Winokur · 2023 to 2026
$16.1M
NCATS NIH HHS UM1 TR004403NCATS NIH HHS UM1TR004403
6 · The paper itself

Abstract

backgroundDiagnosing hypertension typically requires repeated blood pressure (BP) readings taken over multiple days, but obtaining accurate BP measurements from patients at home is known to be challenging, at least in part due to failure to accurately report those measurements. Here, we evaluate 2 low-cost electronic reporting strategies, text messaging, and a novel image-based alternative, for acceptability and accuracy.

methodsWe developed and tested a 2-stage optical character recognition (OCR) model to "read" a BP monitor display from patient-provided cellphone photographs. We then conducted a crossover trial to test the accuracy and acceptability of image-based BP reporting with having patients report BP measurements by text messaging. We compared the response rates and values obtained from photo uploads to those from text messages.

resultsThe majority of the 50 respondents submitted most of the requested data. We received an average of 12/14 texted BP responses and 11.3/14 photo responses from participants. Only 4 participants sent neither text nor photo responses. In addition, our OCR model achieved 98.3% accuracy when "reading" BP values from images of sufficient quality (17.9% were rejected for quality issues), and the average BP reported by subjects did not differ between our text and image-based methods.

conclusionWe were able to successfully "read" BP values from photos of BP monitors sent by participants. Both text messaging and photo uploads of monitor displays appear to be accurate and acceptable approaches for collecting home BP readings.

Indexed as

Blood PressureBlood Pressure Monitoring, AmbulatoryHypertensionText MessagingAdultAgedCross-Over StudiesFemaleHumansMaleMiddle AgedPhotographyPredictive Value of TestsReproducibility of Resultsblood pressurehome measurementhypertensionoptical character recognitiontexting

Identifiers

PMID41258999
PMCPMC13101530

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.