Evidence map›Paper›PMID 35138254›Full record

ArticleJMIR formative research2022

The Impact of Telemedicine Visits on the Controlling High Blood Pressure Quality Measure During the COVID-19 Pandemic: Retrospective Cohort Study.

Siqin Ye, D Edmund Anstey, Anne Grauer, Gil Metser, Nathalie Moise, Joseph Schwartz, Ian Kronish, Marwah Abdalla

Abstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

8 authors.

Siqin YeDepartment of Medicine, Columbia University Irving Medical Center, New York, NY, United States.ORCID https://orcid.org/0000-0002-5229-9775
D Edmund AnsteyDepartment of Medicine, Columbia University Irving Medical Center, New York, NY, United States.ORCID https://orcid.org/0000-0001-9330-1563
Anne GrauerDepartment of Medicine, Columbia University Irving Medical Center, New York, NY, United States.ORCID https://orcid.org/0000-0002-7386-0242
Gil MetserDepartment of Medicine, Columbia University Irving Medical Center, New York, NY, United States.ORCID https://orcid.org/0000-0001-7816-7722
Nathalie MoiseDepartment of Medicine, Columbia University Irving Medical Center, New York, NY, United States.ORCID https://orcid.org/0000-0002-5660-5573
Joseph SchwartzCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, United States.ORCID https://orcid.org/0000-0002-8944-3566
Ian KronishDepartment of Medicine, Columbia University Irving Medical Center, New York, NY, United States.ORCID https://orcid.org/0000-0003-0945-2380
Marwah AbdallaDepartment of Medicine, Columbia University Irving Medical Center, New York, NY, United States.ORCID https://orcid.org/0000-0002-2725-505X

Funding

Automated clinic blood pressure assessment and detection of white coat and masked hypertension study in African AmericansR01HL146636 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABDALLA, MARWAH · 2020 to 2025
$3.8M
Psychological stress, and circadian patterns of sodium excretion and blood pressureR01HL137818 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHIMBO, DAICHI · 2018 to 2021
$2.4M
Patient Safety and Health Services Research TrainingT32HS026121 · AHRQ · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ADELMAN, JASON STUART, BARR, R GRAHAM · 2018 to 2024
$2.4M
Nocturnal Hypertension and SleepK23HL141682 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABDALLA, MARWAH · 2019 to 2023
$953k
AHRQ HHS T32 HS026121NHLBI NIH HHS K23 HL141682NHLBI NIH HHS R01 HL137818NHLBI NIH HHS R01 HL146636
6 · The paper itself

Abstract

backgroundTelemedicine visit use vastly expanded during the COVID-19 pandemic, and this has had an uncertain impact on cardiovascular care quality.

objectiveWe sought to examine the association between telemedicine visits and the failure to meet the Controlling High Blood Pressure (BP) quality measure from the Centers for Medicare & Medicaid Services.

methodsThis was a retrospective cohort study of 32,727 adult patients with hypertension who were seen in primary care and cardiology clinics at an urban, academic medical center from February to December 2020. The primary outcome was a failure to meet the Controlling High Blood Pressure quality measure, which was defined as having no BP recorded or having a last recorded BP of ≥140/90 mm Hg (ie, poor BP control). Multivariable logistic regression was used to assess the association between telemedicine visit use during the study period (none, 1 telemedicine visit, or ≥2 telemedicine visits) and poor BP control; we adjusted for demographic and clinical characteristics.

resultsDuring the study period, no BP was recorded for 2.3% (486/20,745) of patients with in-person visits only, 27.1% (1863/6878) of patients with 1 telemedicine visit, and 25% (1277/5104) of patients with ≥2 telemedicine visits. After adjustment, telemedicine use was associated with poor BP control (1 telemedicine visit: odds ratio [OR] 2.06, 95% CI 1.94-2.18; P<.001; ≥2 telemedicine visits: OR 2.49, 95% CI 2.31-2.68; P<.001; reference: in-person visits only). This effect disappeared when the analysis was restricted to patients with at least 1 recorded BP (1 telemedicine visit: OR 0.89, 95% CI 0.83-0.95; P=.001; ≥2 telemedicine visits: OR 0.91, 95% CI 0.83-0.99; P=.03).

conclusionsIncreased telemedicine visit use is associated with poorer performance on the Controlling High Blood Pressure quality measure. However, telemedicine visit use may not negatively impact BP control when BP is recorded.

Indexed as

blood pressurecardiologycohortCOVID-19hypertensionimpactquality of careretrospectivetelehealthtelemedicine

Identifiers

PMID35138254
PMCPMC8945081

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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.