Evidence map›Paper›PMID 41283224›Full record

ArticleJournal of primary care & community health

Changes in Rates of Uncontrolled Hypertension Among Federally Qualified Health Center Patients, 2019 to 2022: State-Level Group-Based Trajectory Modeling Analysis.

Chaohua Li, Katherine Chung-Bridges, Megan D Douglas, Kevin Espinoza, Mohamed Mubasher, Anne Gaglioti, Bryant Bailey, Dominic H Mack, Peter T Baltrus

Abstract read
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Article in Journal of primary care & community health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chaohua LiMorehouse School of Medicine, Atlanta, GA, USA.ORCID 0000-0003-2707-0060
Katherine Chung-BridgesHealth Choice Network, Inc., Miami, FL, USA.
Megan D DouglasMorehouse School of Medicine, Atlanta, GA, USA.
Kevin EspinozaHealth Choice Network, Inc., Miami, FL, USA.
Mohamed MubasherMorehouse School of Medicine, Atlanta, GA, USA.
Anne GagliotiMorehouse School of Medicine, Atlanta, GA, USA.ORCID 0000-0001-5843-8476
Bryant BaileyMorehouse School of Medicine, Atlanta, GA, USA.
Dominic H MackMorehouse School of Medicine, Atlanta, GA, USA.
Peter T BaltrusMorehouse School of Medicine, Atlanta, GA, USA.ORCID 0000-0001-9808-0501

Funding

NHLBI Maternal Morbidity and Mortality (3M) Administrative Coordinating CenterOT2HL158287 · NHLBI · WESTAT, INC. · PI Chanza Baytop · 2020 to 2026
$431.7M
NHLBI NIH HHS OT2 HL158287
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic disrupted primary care and chronic disease management in the U.S., potentially affecting hypertension control differently across populations, particularly in patients with limited healthcare access. This study examined state-level patterns in uncontrolled hypertension among Federally Qualified Health Center (FQHC) patients during and after the pandemic.

methodsUsing 2019 to 2022 Uniform Data System data, we analyzed state-level trends in uncontrolled hypertension rates among FQHC patients. Group-based trajectory modeling was applied to identify patterns across states for all patients and separately by race and ethnicity. We examined associations between trajectory groups and state-level COVID-19 mortality rates.

resultsFour trajectory groups emerged for all races combined; the least favorable group (Group 4) included 5 states with consistently high uncontrolled hypertension rates. Among non-Hispanic Black patients, 24 states fell into the least favorable trajectory group. Most trajectory groups demonstrated recovery toward pre-pandemic levels by 2022, with mortality rates declining to 48.7 to 78.4 per 100,000 across groups.

conclusionsAlthough hypertension control largely rebounded to pre-pandemic levels by 2022, differences persisted across geographic and racial groups. Patients living in states with the least favorable trends may benefit from targeted strategies to enhance hypertension management. These findings highlight the critical need to sustain chronic disease care during public health crises and to address health outcomes driven by structural factors.

Indexed as

COVID-19HypertensionSafety-net ProvidersAdultAgedFemaleHumansMaleMiddle AgedPrimary Health CareSARS-CoV-2United Stateschronic disease managementchronic disease surveillanceFederally Qualified Health Centers (FQHCs)group-based trajectory modeling (GBTM)hypertensionpublic health emergenciesuncontrolled hypertension

Identifiers

PMID41283224
PMCPMC12644424

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.