Evidence map›Paper›PMID 37169589›Full record

ArticleJournal of the American Board of Family Medicine : JABFM2023

Estimating the Cardiovascular Disease Risk Reduction of a Quality Improvement Initiative in Primary Care: Findings from EvidenceNOW.

Stephan R Lindner, Bijal Balasubramanian, Miguel Marino, K John McConnell, Thomas E Kottke, Samuel T Edwards, Sam Cykert, Deborah J Cohen

Open access · diamondAbstract read
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Stephan R LindnerFrom the Center for Health Systems Effectiveness, Oregon Health & Science University (SRL, KJM); OHSU-PSU School of Public Health (SRL, MM, KJM); Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health in Dallas (BB); Department of Family Medicine, Oregon Health & Science University (MM, STE, DJC); HealthPartners Institute, Minneapolis, Minnesota (TEK); Section of General Internal Medicine, Veterans Affairs Portland Health Care System (STE); The Cecil G. Sheps Center for Health Services Research and Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill (DJC); Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University (DJC). lindners@ohsu.edu.
Bijal BalasubramanianFrom the Center for Health Systems Effectiveness, Oregon Health & Science University (SRL, KJM); OHSU-PSU School of Public Health (SRL, MM, KJM); Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health in Dallas (BB); Department of Family Medicine, Oregon Health & Science University (MM, STE, DJC); HealthPartners Institute, Minneapolis, Minnesota (TEK); Section of General Internal Medicine, Veterans Affairs Portland Health Care System (STE); The Cecil G. Sheps Center for Health Services Research and Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill (DJC); Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University (DJC).
Miguel MarinoFrom the Center for Health Systems Effectiveness, Oregon Health & Science University (SRL, KJM); OHSU-PSU School of Public Health (SRL, MM, KJM); Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health in Dallas (BB); Department of Family Medicine, Oregon Health & Science University (MM, STE, DJC); HealthPartners Institute, Minneapolis, Minnesota (TEK); Section of General Internal Medicine, Veterans Affairs Portland Health Care System (STE); The Cecil G. Sheps Center for Health Services Research and Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill (DJC); Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University (DJC).
K John McConnellFrom the Center for Health Systems Effectiveness, Oregon Health & Science University (SRL, KJM); OHSU-PSU School of Public Health (SRL, MM, KJM); Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health in Dallas (BB); Department of Family Medicine, Oregon Health & Science University (MM, STE, DJC); HealthPartners Institute, Minneapolis, Minnesota (TEK); Section of General Internal Medicine, Veterans Affairs Portland Health Care System (STE); The Cecil G. Sheps Center for Health Services Research and Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill (DJC); Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University (DJC).
Thomas E KottkeFrom the Center for Health Systems Effectiveness, Oregon Health & Science University (SRL, KJM); OHSU-PSU School of Public Health (SRL, MM, KJM); Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health in Dallas (BB); Department of Family Medicine, Oregon Health & Science University (MM, STE, DJC); HealthPartners Institute, Minneapolis, Minnesota (TEK); Section of General Internal Medicine, Veterans Affairs Portland Health Care System (STE); The Cecil G. Sheps Center for Health Services Research and Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill (DJC); Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University (DJC).
Samuel T EdwardsFrom the Center for Health Systems Effectiveness, Oregon Health & Science University (SRL, KJM); OHSU-PSU School of Public Health (SRL, MM, KJM); Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health in Dallas (BB); Department of Family Medicine, Oregon Health & Science University (MM, STE, DJC); HealthPartners Institute, Minneapolis, Minnesota (TEK); Section of General Internal Medicine, Veterans Affairs Portland Health Care System (STE); The Cecil G. Sheps Center for Health Services Research and Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill (DJC); Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University (DJC).
Sam CykertFrom the Center for Health Systems Effectiveness, Oregon Health & Science University (SRL, KJM); OHSU-PSU School of Public Health (SRL, MM, KJM); Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health in Dallas (BB); Department of Family Medicine, Oregon Health & Science University (MM, STE, DJC); HealthPartners Institute, Minneapolis, Minnesota (TEK); Section of General Internal Medicine, Veterans Affairs Portland Health Care System (STE); The Cecil G. Sheps Center for Health Services Research and Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill (DJC); Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University (DJC).
Deborah J CohenFrom the Center for Health Systems Effectiveness, Oregon Health & Science University (SRL, KJM); OHSU-PSU School of Public Health (SRL, MM, KJM); Department of Epidemiology, Human Genetics, and Environmental Sciences, UTHealth School of Public Health in Dallas (BB); Department of Family Medicine, Oregon Health & Science University (MM, STE, DJC); HealthPartners Institute, Minneapolis, Minnesota (TEK); Section of General Internal Medicine, Veterans Affairs Portland Health Care System (STE); The Cecil G. Sheps Center for Health Services Research and Division of General Internal Medicine and Clinical Epidemiology, The University of North Carolina School of Medicine at Chapel Hill, Chapel Hill (DJC); Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science University (DJC).
University of Texas Health Science Center at Dallas · USHealthPartners · USOregon Health & Science University · USUniversity of North Carolina at Chapel Hill · USVA Portland Health Care System · US

Funding

Evaluating System Change to Advance Learning and Take Evidence to Scale (ESCALATES)R01HS023940 · AHRQ · OREGON HEALTH & SCIENCE UNIVERSITY · PI COHEN, DEBORAH JILL · 2015 to 2018
$13.5M
AHRQ HHS R01 HS023940
6 · The paper itself

Abstract

backgroundThis study estimates reductions in 10-year atherosclerotic cardiovascular disease (ASCVD) risk associated with EvidenceNOW, a multi-state initiative that sought to improve cardiovascular preventive care in the form of (A)spirin prescribing for high-risk patients, (B)lood pressure control for people with hypertension, (C)holesterol management, and (S)moking screening and cessation counseling (ABCS) among small primary care practices by providing supportive interventions such as practice facilitation.

designWe conducted an analytic modeling study that combined (1) data from 1,278 EvidenceNOW practices collected 2015 to 2017; (2) patient-level information of individuals ages 40 to 79 years who participated in the 2015 to 2016 National Health and Nutrition Examination Survey ( MEASURES: The primary outcome measure was 10-year ASCVD risk.

resultsEvidenceNOW practices cared for an estimated 4 million patients ages 40 to 79 who might benefit from ABCS interventions. The average 10-year ASCVD risk of these patients before intervention was 10.11%. Improvements in ABCS due to EvidenceNOW reduced their 10-year ASCVD risk to 10.03% (absolute risk reduction: -0.08,

conclusionSmall preventive care improvements and associated reductions in absolute ASCVD risk levels can lead to meaningful life-saving benefits at the population level.

Indexed as

AtherosclerosisCardiovascular DiseasesHypertensionHumansNutrition SurveysPrimary Health CareQuality ImprovementCardiologyCardiovascular DiseasesNutrition SurveysPreventive Health CarePrimary Health CareQuality Improvement

Identifiers

PMID37169589
PMCPMC10830125
OpenAlexW4376226127

What OpenQuestion 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 OpenQuestion graph.