CClinicalTrials.gg
CompletedNCT01286311Updated Feb 9, 2015Results posted

Tailored Communication to Reduce Cardiovascular Risk

An interventional study of Direct-to-patient tailored cardiovascular risk message system in Hypercholesterolemia, Coronary Artery Disease and Dyslipidemia, sponsored by Northwestern University. Completed at 1 site in United States. Open to participants aged 40 Years to 79 Years. Per ClinicalTrials.gov, last updated 2015-02-09.

Sponsored by Northwestern University · Not applicable, Interventional, and Prevention

Phase
Not applicable
Study type
Interventional
Enrollment
464
Allocation
Randomized
Ages
40 Years to 79 Years
Sex
All
01

Study summary

The primary goal of the trial is to test the feasibility and efficacy of a cardiovascular disease quality improvement system that couples EMR-based patient identification with individually tailored patient messages. The study will test the hypothesis that that a tailored patient-directed approach to cardiovascular risk reduction integrated into patients' primary care delivery site will improve control of elevated low-density lipoprotein cholesterol and other card iac risk factors more than routine care alone for patients at intermediate or high risk for cardiovascular disease.

02

Conditions studied

  • Hypercholesterolemia
  • Coronary Artery Disease
  • Dyslipidemia
  • Hypertension

Keywords

  • Health Education
  • Health Knowledge, Attitudes, Practice
  • Hypolipidemic Agents/therapeutic use
  • Patient Education as Topic
03

In context

Coronary Artery Disease

5,598 studies on the registry are indexed under Coronary Artery Disease; 957 are open to participants now.

This study's enrollment of 464 is above the median of 124 across 3,436 interventional studies indexed under Coronary Artery Disease.

Browse Coronary Artery Disease studies →

Lead sponsor

Northwestern University is the lead sponsor of 1,396 studies on the registry; 199 are open to participants now.

Of its 102 completed or terminated interventional studies of FDA-regulated products, 73 (72%) have results posted.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
40 Years to 79 Years
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Age 40 to 79 years
  • medication list does not include an active lipid lowering medication
  • the patient does not have a diagnosis in the past medical history, active problem list or past visit encounter of coronary heart disease, heart failure, stroke, diabetes mellitus, or peripheral arterial disease
  • the patient has an enrolled study physician recorded as his/her primary care physician
  • the patient has an LDL cholesterol that meets one or more of the criteria listed below.

LDL cholesterol >= 130 mg/dl and estimated Framingham Risk Score 10-20% LDL cholesterol >= 100 mg/dl and estimated Framingham Risk Score >20% LDL cholesterol >= 160 mg/dl and estimated Framingham Risk Score 5% to \<10%.

Exclusion criteria

Exclusion Criteria:

  • Age \<40 or >79 years
  • medication list includes an active lipid lowering medication
  • the patient hase a diagnosis in the past medical history, active problem list or past visit encounter of coronary heart disease, heart failure, stroke, diabetes mellitus, or peripheral arterial disease
  • the patient does not have an enrolled study physician recorded as his/her primary care physician
  • the patient does not have an LDL cholesterol that meets one or more of the criteria listed below.

LDL cholesterol >= 130 mg/dl and estimated Framingham Risk Score 10-20% LDL cholesterol >= 100 mg/dl and estimated Framingham Risk Score >20% LDL cholesterol >= 160 mg/dl and estimated Framingham Risk Score 5% to \<10%.

05

Study design

Phase
Not applicable
Primary purpose
Prevention
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Single (Participant)
Enrollment
464 participants (actual)

Study arms

  • Experimental
    Direct-to-patient tailored cardiovascular risk message system

    Eligible patients cared for by physicians randomized to the active intervention group will be mailed a tailored cardiovascular risk message.

    Behavioral: Direct-to-patient tailored cardiovascular risk message system

  • No intervention
    Control

Interventions

  • BehavioralDirect-to-patient tailored cardiovascular risk message system

    Patient informational mailings

06

What researchers measure

Primary outcomes

  1. Comparative Outcomes: Intervention Group LDL Reduction Compared to Control Group LDL Reduction

    Significant LDL cholesterol reduction at 9 months Definition: Percentage of patients with LDL-C repeated and which is at least 30 mg/dl lower than baseline

    Time frame: 9 months

Secondary outcomes

  1. Frequency of Clinical Encounters

    This will measure the difference in frequency of clinical encounters in the electronic medical record.

    Time frame: 9 months

  2. Medication Prescriptions for Dyslipidemia

    This will look at whether lipid lowering medications (LLM) were prescribed for dyslipidemia.

    Time frame: 9 months

  3. Percentage of Patients With Uncontrolled Hypertension Who Had an Increase in the Number of Antihypertensive Medication Drug Classes Prescribed

    This will measure the percentage of participants who had uncontrolled hypertension at baseline who had an increase in the number of antihypertensive medication drug classes prescribed within 9 months.

    Time frame: 9 months

  4. Presence of an Aspirin Prescription

    This will measure the presence of an aspirin prescriptions on the medication list in the electronic medical record.

    Time frame: 9 months

07

Results

Posted Feb 9, 2015

Participant flow

Physicians were recruited at their clinic offices in January 2011. They provided written informed consent to be randomized and to have study staff mail risk messages directly to patients on their behalf if they were randomized to the intervention. Patients were included with a waiver of consent.

Participant flow — Overall Study
MilestoneDirect-to-patient Tailored Cardiovascular Risk Message SystemControl
Started232232
Completed218232
Not completed140
Withdrew: Physician did not want outreach sent140

Outcome measures

PrimaryComparative Outcomes: Intervention Group LDL Reduction Compared to Control Group LDL Reduction

Significant LDL cholesterol reduction at 9 months Definition: Percentage of patients with LDL-C repeated and which is at least 30 mg/dl lower than baseline

Time frame:
9 months
Reported as:
Number · % of patients with major LDL reduction
Comparative Outcomes: Intervention Group LDL Reduction Compared to Control Group LDL Reduction
% of patients with major LDL reductionDirect-to-patient Tailored Cardiovascular Risk Message SystemControl
Comparative Outcomes: Intervention Group LDL Reduction Compared to Control Group LDL Reduction11.011.1
Statistical analysis
  • Direct-to-patient Tailored Cardiovascular Risk Message System vs Control · Generalized Logistic Regression · p = 0.99 · Odds ratio (or): 1.00 · 95% CI 0.54 to 1.86
SecondaryFrequency of Clinical Encounters

This will measure the difference in frequency of clinical encounters in the electronic medical record.

Time frame:
9 months
Reported as:
Number · % of patients with any office visit
Frequency of Clinical Encounters
% of patients with any office visitDirect-to-patient Tailored Cardiovascular Risk Message SystemControl
Frequency of Clinical Encounters61.9 (0 to 2)56.7 (0 to 1)
Statistical analysis
  • Direct-to-patient Tailored Cardiovascular Risk Message System vs Control · Generalized Logistic Regression · p = 0.27 · Odds ratio (or): 1.25 · 95% CI 0.84 to 1.85
SecondaryMedication Prescriptions for Dyslipidemia

This will look at whether lipid lowering medications (LLM) were prescribed for dyslipidemia.

Time frame:
9 months
Reported as:
Number · % of patients with New Rx for LLM
Medication Prescriptions for Dyslipidemia
% of patients with New Rx for LLMDirect-to-patient Tailored Cardiovascular Risk Message SystemControl
Medication Prescriptions for Dyslipidemia11.96.0
Statistical analysis
  • Direct-to-patient Tailored Cardiovascular Risk Message System vs Control · Generalized Logistic Regression · p = 0.038 · Odds ratio (or): 2.13 · 95% CI 1.05 to 4.32
SecondaryPercentage of Patients With Uncontrolled Hypertension Who Had an Increase in the Number of Antihypertensive Medication Drug Classes Prescribed

This will measure the percentage of participants who had uncontrolled hypertension at baseline who had an increase in the number of antihypertensive medication drug classes prescribed within 9 months.

Time frame:
9 months
Reported as:
Number · percentage of participants
Percentage of Patients With Uncontrolled Hypertension Who Had an Increase in the Number of Antihypertensive Medication Drug Classes Prescribed
percentage of participantsDirect-to-patient Tailored Cardiovascular Risk Message SystemControl
Percentage of Patients With Uncontrolled Hypertension Who Had an Increase in the Number of Antihypertensive Medication Drug Classes Prescribed11.84.7
Statistical analysis
  • Direct-to-patient Tailored Cardiovascular Risk Message System vs Control · Generalized Logistic Regression · p = 0.13 · Odds ratio (or): 2.72 · 95% CI 0.73 to 10.1
SecondaryPresence of an Aspirin Prescription

This will measure the presence of an aspirin prescriptions on the medication list in the electronic medical record.

Time frame:
9 months
Reported as:
Number · % patients w/aspirin now on med list
Presence of an Aspirin Prescription
% patients w/aspirin now on med listDirect-to-patient Tailored Cardiovascular Risk Message SystemControl
Presence of an Aspirin Prescription3.91.8
Statistical analysis
  • Direct-to-patient Tailored Cardiovascular Risk Message System vs Control · Generalized Logistic Regression · p = 0.30 · Odds ratio (or): 2.18 · 95% CI 0.50 to 9.5

Adverse events

Non-serious events are listed at a 0% frequency threshold.

Adverse event summary by group
GroupDeathsSeriousOther
Direct-to-patient Tailored Cardiovascular Risk Message System———
Control———

Baseline characteristics

218 patients (of the 14 physician randomized to the intervention) and 217 patients (of the 15 physician randomized to the intervention) participated in the study.

Age, Categorical
Age, Categorical(patient participants)Direct-to-patient Tailored Cardiovascular Risk Message SystemControlTotal
<=18 years000
Between 18 and 65 years137147284
>=65 years8170151
Age, Continuous
Age, Continuous(years)Direct-to-patient Tailored Cardiovascular Risk Message SystemControlTotal
Mean61.3 ± 9.460.1 ± 9.260.7 ± 9.4
Gender
Gender(participants)Direct-to-patient Tailored Cardiovascular Risk Message SystemControlTotal
Female495099
Male169167336
Region of Enrollment
Region of Enrollment(participants)Direct-to-patient Tailored Cardiovascular Risk Message SystemControlTotal
United States232232464
08

Study locations

1 site
  • Northwestern Medical Faculty Foundation General Internal Medicine Ambulatory Clinic
    Chicago, Illinois 60611, United States
09

References and documents

Publications

  • Persell SD, Lloyd-Jones DM, Friesema EM, Cooper AJ, Baker DW. Electronic health record-based patient identification and individualized mailed outreach for primary cardiovascular disease prevention: a cluster randomized trial. J Gen Intern Med. 2013 Apr;28(4):554-60. doi: 10.1007/s11606-012-2268-1. Epub 2012 Nov 11. PubMed 23143672 ↗
10

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 9, 2015, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
11

Registry details

Key details

Study ID
NCT01286311
Lead sponsor
Northwestern University
Collaborators
Agency for Healthcare Research and Quality (AHRQ)
Responsible party
Stephen Persell (Assistant Professor, Northwestern University) — Principal investigator
First posted
Jan 31, 2011
Start date
Jan 2011
Primary completion
Jan 2013
Completion
Jan 2013
Results posted
Feb 9, 2015
Last update
Feb 9, 2015

Study contacts

Stephen Persell, MD, MPH
principal investigator · Northwestern University Division of General Internal Medicine, Feinberg School of Medicine and Institute for Healthcare Studies

Oversight

Data monitoring committee
Yes
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Jan 2015. You cannot join it, but the record below documents what was studied.

Follow this study

Get an email when the registry record changes — status, dates, results — or when someone posts here.

Sign in to follow

Discussion

Questions and observations about this study, from anyone following it. Not medical advice, and not a channel to the study team — their contact details are on the registry record.

Sign in to join the discussion. Reading takes no account; posting does. You choose a display name, and a pseudonym is the default.

Nothing here yet. If you are running this trial, taking part in it, or weighing whether to, this is the place to say so.

Start the discussion