Evidence map›Paper›PMID 31503408›Full record

Trial reportJournal of clinical hypertension (Greenwich, Conn.)2019

A texting-based blood pressure surveillance intervention.

Roula S Zahr, Chris A Anthony, Philip M Polgreen, Jacob E Simmering, Christopher J Goerdt, Angela B Hoth, Michelle L Miller, Manish Suneja, Alberto M Segre, Barry L Carter and 2 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of clinical hypertension (Greenwich, Conn.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. A texting-based blood pressure surveillance intervention.Journal of clinical hypertension (Greenwich, Conn.) · 2019
    Trial
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Roula S ZahrDepartment of Internal Medicine, Oregon Health Sciences University, Portland, OR, USA.
Chris A AnthonyDepartment of Orthopaedic Surgery, University of Iowa, Iowa City, IA, USA.
Philip M PolgreenDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
Jacob E SimmeringDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
Christopher J GoerdtDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
Angela B HothDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
Michelle L MillerDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
Manish SunejaDepartment of Internal Medicine, University of Iowa, Iowa City, IA, USA.
Alberto M SegreDepartment of Computer Science, University of Iowa, Iowa City, IA, USA.
Barry L CarterDepartment of Pharmacy Practice and Science, University of Iowa, Iowa City, IA, USA.ORCID 0000-0002-0466-343X
Joseph E CavanaughDepartment of Biostatistics, University of Iowa, Iowa City, IA, USA.
Linnea A PolgreenDepartment of Pharmacy Practice and Science, University of Iowa, Iowa City, IA, USA.ORCID 0000-0002-3926-5933

Funding

Observational data and treatment effectiveness: which methods work best?K25HL122305 · NHLBI · UNIVERSITY OF IOWA · PI POLGREEN, LINNEA ANN · 2015 to 2018
$588k
National Heart Lung and Blood Institute K25HL 122305NHLBI NIH HHS K25 HL122305
6 · The paper itself

Abstract

The authors examined whether using home BP measurements collected via a custom-built bi-directional-texting platform incorporated into patients' electronic medical records would lead to treatment calibration and improved BP management. Patients were randomized to either the intervention group and collected home measurements based on reminders and reported via bi-directional texting, or to the control group, with home BP measurement reporting via standard practice (eg, phone, electronic medical record portal) and instructed to return 7 morning and 7 evening BP measurements. Outcomes included number of BP measurements submitted, the number of medication changes, reduction in BP, and BP control. 72% of the intervention group submitted at least 14 readings, compared with 45% of the control group. BP control improved in both groups. However, the authors found no statistically significant difference in BP or the number of BP-medication changes at 1, 3, or 6 months compared with the control group.

Indexed as

AdultAgedAntihypertensive AgentsBlood PressureBlood Pressure DeterminationCase-Control StudiesElectronic Health RecordsFemaleHumansHypertensionMaleMiddle AgedOutcome Assessment, Health CareText MessagingAntihypertensive Agentsblood pressure measurementhome measurementhypertensionmonitoringSMSsurveillancetextingtreatment

Identifiers

PMID31503408
PMCPMC7334880

What OpenQuestion holds

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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.