Evidence map›Paper›PMID 35629024›Full record

ArticleJournal of clinical medicine2022

Individual-Level and Neighborhood-Level Factors Associated with Longitudinal Changes in Cardiometabolic Measures in Participants of a Clinic-Based Care Coordination Program: A Secondary Data Analysis.

Sonal J Patil, Mojgan Golzy, Angela Johnson, Yan Wang, Jerry C Parker, Robert B Saper, Debra Haire-Joshu, David R Mehr, Randi E Foraker, Robin L Kruse

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Sonal J PatilDepartment of Wellness and Preventive Medicine, Cleveland Clinic Community Care Institute, Cleveland, OH 44104, USA.
Mojgan GolzyBiostatistics and Research Design Unit, School of Medicine, University of Missouri, Columbia, MO 65211, USA.ORCID 0000-0002-2759-3120
Angela JohnsonCenter for Applied Research and Engagement Systems (CARES), University of Missouri, Columbia, MO 65211, USA.
Yan WangDepartment of Family and Community Medicine, University of Missouri, Columbia, MO 65212, USA.ORCID 0000-0001-9578-4781
Jerry C ParkerDepartment of Physical Medicine and Rehabilitation, University of Missouri, Columbia, MO 65211, USA.
Robert B SaperDepartment of Wellness and Preventive Medicine, Cleveland Clinic Community Care Institute, Cleveland, OH 44104, USA.
Debra Haire-JoshuBrown School, Washington University in St. Louis, St. Louis, MO 63130, USA.
David R MehrDepartment of Family and Community Medicine, University of Missouri, Columbia, MO 65212, USA.
Randi E ForakerDivision of General Medical Sciences, School of Medicine, Washington University in St. Louis, St. Louis, MO 63130, USA.
Robin L KruseDepartment of Family and Community Medicine, University of Missouri, Columbia, MO 65212, USA.ORCID 0000-0001-9759-7218

Funding

Washington University Institute of Clinical and Translational Sciences (KL2) KL2TR002346 · NCATS · WASHINGTON UNIVERSITY · PI Dominic N Reeds · 2017 to 2026
$14.0M
Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
HHS 1C1CMS331001-01-00NCATS NIH HHS KL2 TR002346NIDDK NIH HHS P30 DK092950
6 · The paper itself

Abstract

Background: Identifying individual and neighborhood-level factors associated with worsening cardiometabolic risks despite clinic-based care coordination may help identify candidates for supplementary team-based care. Methods: Secondary data analysis of data from a two-year nurse-led care coordination program cohort of Medicare, Medicaid, dual-eligible adults, Leveraging Information Technology to Guide High Tech, High Touch Care (LIGHT2), from ten Midwestern primary care clinics in the U.S. Outcome Measures: Hemoglobin A1C, low-density-lipoprotein (LDL) cholesterol, and blood pressure. Multivariable generalized linear regression models assessed individual and neighborhood-level factors associated with changes in outcome measures from before to after completion of the LIGHT2 program. Results: 6378 participants had pre-and post-intervention levels reported for at least one outcome measure. In adjusted models, higher pre-intervention cardiometabolic measures were associated with worsening of all cardiometabolic measures. Women had worsening LDL-cholesterol compared with men. Women with pre-intervention HbA1c > 6.8% and systolic blood pressure > 131 mm of Hg had worse post-intervention HbA1c and systolic blood pressure compared with men. Adding individual’s neighborhood-level risks did not change effect sizes significantly. Conclusions: Increased cardiometabolic risks and gender were associated with worsening cardiometabolic outcomes. Understanding unresolved gender-specific needs and preferences of patients with increased cardiometabolic risks may aid in tailoring clinic-community-linked care planning.

Indexed as

cardiometabolic riskcare coordinationclinic-based interventionneighborhood level factorsnurse-led interventionteam-based care

Identifiers

PMID35629024
PMCPMC9145991

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Registered trials

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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.