Evidence mapPaperPMID 22747998Full record

Trial reportBMC health services research2012

Improving treatment intensification to reduce cardiovascular disease risk: a cluster randomized trial.

Joe V Selby, Julie A Schmittdiel, Bruce Fireman, Marc Jaffe, Laura J Ransom, Wendy Dyer, Connie S Uratsu, Mary E Reed, Eve A Kerr, John Hsu

3 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC health services research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT00495794 nacompletednot on this map

Adherence and Intensification of Medications: A Population-Based Clinical Pharmacists Implementation Study Among Hypertensive Diabetes Patients

TypeinterventionalSponsorUS Department of Veterans AffairsRan2008 to 2012Enrolled4,622ConditionsDiabetes, HypertensionArmsClinical pharmacist-based intervention
NCT00517686 nacompletednot on this map

Feedback of Treatment Intensification Data to Reduce Cardiovascular Disease Risk (FIT)

TypeinterventionalSponsorKaiser PermanenteRan2008 to 2009Enrolled16,584ConditionsCardiovascular Disease (CVD) Risk FactorsArmsInformation feedback intervention
NCT01826929 naunknown statusnot on this mapstarted 2013, after this paper: background citation

Effectiveness of a New Health Care Organization Model in Primary Care for Chronic Cardiovascular Disease Patients Based on a Multifactorial Intervention: The PROPRESE Randomized Controlled Trial.

TypeinterventionalSponsorFundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat ValencianaRan2013Enrolled300ConditionsIschemic Heart DiseaseArmsTherapeutic education
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Trial
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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

10 authors.

Joe V SelbyPatient-Centered Outcomes Research Institute, Washington, DC, USA.
Julie A Schmittdiel
Bruce Fireman
Marc Jaffe
Laura J Ransom
Wendy Dyer
Connie S Uratsu
Mary E Reed
Eve A Kerr
John Hsu

Funding

Pilot and Feasibility ProgramP30DK092926 · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2025 to 2025
$779k
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · KAISER FOUNDATION RESEARCH INSTITUTE · 2025 to 2025
$700k
AHRQ HHS R18 HS17031-01NIDDK NIH HHS 1P30-DK092924NIDDK NIH HHS P30 DK092926
6 · The paper itself

Abstract

backgroundBlood pressure, lipid, and glycemic control are essential for reducing cardiovascular disease (CVD) risk. Many health care systems have successfully shifted aspects of chronic disease management, including population-based outreach programs designed to address CVD risk factor control, to non-physicians. The purpose of this study is to evaluate provision of new information to non-physician outreach teams on need for treatment intensification in patients with increased CVD risk.

methodsCluster randomized trial (July 1-December 31, 2008) in Kaiser Permanente Northern California registry of members with diabetes mellitus, prior CVD diagnoses and/or chronic kidney disease who were high-priority for treatment intensification: blood pressure ≥ 140 mmHg systolic, LDL-cholesterol ≥ 130 mg/dl, or hemoglobin A1c ≥ 9%; adherent to current medications; no recent treatment intensification). Randomization units were medical center-based outreach teams (4 intervention; 4 control). For intervention teams, priority flags for intensification were added monthly to the registry database with recommended next pharmacotherapeutic steps for each eligible patient. Control teams used the same database without this information. Outcomes included 3-month rates of treatment intensification and risk factor levels during follow-up.

resultsBaseline risk factor control rates were high (82-90%). In eligible patients, the intervention was associated with significantly greater 3-month intensification rates for blood pressure (34.1 vs. 30.6%) and LDL-cholesterol (28.0 vs 22.7%), but not A1c. No effects on risk factors were observed at 3 months or 12 months follow-up. Intervention teams initiated outreach for only 45-47% of high-priority patients, but also for 27-30% of lower-priority patients. Teams reported difficulties adapting prior outreach strategies to incorporate the new information.

conclusionsInformation enhancement did not improve risk factor control compared to existing outreach strategies at control centers. Familiarity with prior, relatively successful strategies likely reduced uptake of the innovation and its potential for success at intervention centers.

trial registrationClinicalTrials.gov Identifier NCT00517686.

Indexed as

Quality ImprovementAdolescentAdultAgedAged, 80 and overCaliforniaCardiovascular DiseasesCluster AnalysisCommunity Health WorkersFemaleHumansMaleMiddle AgedPrimary PreventionQualitative ResearchRisk Factors

Identifiers

PMID22747998
PMCPMC3438122

What Socratic holds

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Registered trials

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.