Evidence map›Paper›PMID 32153104›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2020

Unattended automated office blood pressure measurement: Time efficiency and barriers to implementation/utilization.

John Doane, Michael Flynn, Marcus Archibald, Dominick Ramirez, Molly B Conroy, Barry Stults

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
  2. Observational
  3. Article
  4. Article
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  6. Attended automated office blood pressure re-visited.Journal of clinical hypertension (Greenwich, Conn.) · 2020
    Article
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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

6 authors at 1 institution in 1 country.

John DoaneDivision of General Internal Medicine, University of Utah Medical Center, Salt Lake City, Utah.
Michael FlynnDivision of General Internal Medicine, University of Utah Medical Center, Salt Lake City, Utah.
Marcus ArchibaldDivision of General Internal Medicine, University of Utah Medical Center, Salt Lake City, Utah.
Dominick RamirezDivision of General Internal Medicine, University of Utah Medical Center, Salt Lake City, Utah.
Molly B ConroyDivision of General Internal Medicine, University of Utah Medical Center, Salt Lake City, Utah.ORCID 0000-0003-0404-1371
Barry StultsDivision of General Internal Medicine, University of Utah Medical Center, Salt Lake City, Utah.
University of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unattended automated office blood pressure (BP) measurement (u-AOBP) improves office BP measurement accuracy and reduces white-coat BP elevation, but there are reservations about its time efficiency in primary care. We used time-stamp methodology to measure u-AOBP procedure times performed without a rest period in 130 patients during routine clinic visits to three primary care clinics with 2.5-4.9 years u-AOBP experience. We documented the clinical activities of 30 medical assistants during the u-AOBP procedures. We also assessed MA and clinician satisfaction and knowledge about u-AOBP performance and interpretation. Median u-AOBP procedure time was <5 minutes, and MAs engaged in productive clinical activities during 83% of the procedures. Ninety-three percent of MAs and 100% of clinicians in the clinics agreed that u-AOBP is an efficient method to improve hypertension management. Barriers to effective u-AOBP implementation and ongoing utilization included initial difficulty incorporating u-AOBP into clinic workflow and medical staff knowledge deficiencies concerning correct u-AOBP performance and interpretation despite prior training and experience with the procedure. Intensive u-AOBP education and training programs are needed to facilitate effective u-AOBP implementation into primary care. The time required to perform u-AOBP can be utilized productively by staff.

Indexed as

White Coat HypertensionAutomationBlood PressureBlood Pressure DeterminationHumansOffice Visitshypertensionunattended automated office blood pressure (u-AOBP)

Identifiers

PMID32153104
PMCPMC8030085
OpenAlexW3011424989

What Socratic holds

Textmetadata
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 Socratic graph.