Evidence map›Paper›PMID 36476418›Full record

ArticleBMC public health2022

Impact of COVID-19-related care disruptions on blood pressure management and control in community health centers.

Margaret Meador, Fátima Coronado, Debosree Roy, R Curtis Bay, Joy H Lewis, Jessica Chen, Rachel Cheung, Christopher Utman, Judith A Hannan

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 19 citations in OpenAlex.

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  7. Journal of family medicine and primary care · 2024
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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

9 authors at 5 institutions in 2 countries.

Margaret MeadorDirector of Clinical Integration and Education, National Association of Community Health Centers, Bethesda, MD, USA. mmeador@nachc.com.ORCID 0000-0003-3217-426X
Fátima CoronadoAssociate Director for Science, Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Debosree RoyPost-doctoral Research Scholar, Department of Public Health, A.T. Still University-School of Osteopathic Medicine in Arizona, Mesa, AZ, USA.
R Curtis BayProfessor, Biostatistics, Department of Interdisciplinary Health Sciences, Arizona School of Health Sciences, A.T. Still University, Mesa, AZ, USA.
Joy H LewisProfessor of Medicine and Public Health; Chair, Department of Public Health, A.T. Still University-School of Osteopathic Medicine in Arizona, Mesa, AZ, USA.
Jessica ChenQuality Improvement Program Manager, The Health Federation of Philadelphia, Philadelphia, PA, USA.
Rachel CheungManager of Quality, Esperanza Health Centers, Chicago, IL, USA.
Christopher Utman, Assistant Director, Data Analytics, HealthEfficient, Albany, NY, USA.
Judith A HannanMillion Hearts® Senior Advisor, Division for Heart Disease and Stroke Prevention, Centers for Disease Control and Prevention, Atlanta, GA, USA.
A.T. Still University · USCenters for Disease Control and Prevention · USAlbany College of Pharmacy and Health Sciences · USFaculty of Public Health · GBNational Association of Community Health Centers · US

Funding

NCCDPHP CDC HHS U8OT00223
6 · The paper itself

Abstract

backgroundUncontrolled hypertension is a leading risk factor for cardiovascular disease. To ensure continuity of care, community health centers (CHCs) nationwide implemented virtual care (telehealth) during the pandemic. CHCs use the Centers for Medicare & Medicaid Services (CMS) 165v8 Controlling High Blood Pressure measure to report blood pressure (BP) control performance. CMS 165v8 specifications state that if no BP is documented during the measurement period, the patient's BP is assumed uncontrolled.

methodsTo examine trends in BP documentation and control rates in CHCs as telehealth use increased during the pandemic compared with pre-pandemic period, we assessed documentation of BP measurement and BP control rates from December 2019 - October 2021 among persons ages 18-85 with a diagnosis of hypertension who had an in-person or telehealth encounter in 11 CHCs. Rates were compared between CHCs that did and did not implement self-measured BP monitoring (SMBP).

resultsThe percent of patients with hypertension with no documented BP measurement was 0.5% in December 2019 and increased to 15.2% (overall), 25.6% (non-SMBP CHCs), and 11.2% (SMBP CHCs) by October 2021. BP control using CMS 165v8 was 63.5% in December 2019 and decreased to 54.9% (overall), 49.1% (non-SMBP), and 57.2% (SMBP) by October 2021. When assessing BP control only in patients with documented BP measurements, CHCs largely maintained BP control rates (63.8% in December 2019; 64.8% (overall), 66.0% (non-SMBP), and 64.4% (SMBP) by October 2021).

conclusionsThe transition away from in-person to telehealth visits during the pandemic likely increased the number of patients with hypertension lacking a documented BP measurement, subsequently negatively impacting BP control using CMS 165v8. There is an urgent need to enhance the flexibility of virtual care, improve EHR data capture capabilities for patient-generated data, and implement expanded policy and systems-level changes for SMBP, an evidence-based strategy that can build patient trust, increase healthcare engagement, and improve hypertension outcomes.

Indexed as

COVID-19HypertensionAdolescentAdultAgedAged, 80 and overBlood PressureCommunity Health CentersHumansMedicareMiddle AgedUnited StatesYoung AdultClinical quality measuresCommunity health centersCOVID-19HypertensionSelf-measured blood pressure (SMBP) monitoringTelehealth

Identifiers

PMID36476418
PMCPMC9730629
OpenAlexW4311583435

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.