Trial Outcomes & Findings for CV Wizard: Does a Clinical Decision Support Tool Improve CVD Risk Factor Control in Safety Net Clinics? (NCT NCT03001713)

NCT ID: NCT03001713

Last Updated: 2025-02-11

Results Overview

10-year CVD risk was estimated using the American College of Cardiology/American Heart Association pooled risk equations, which include age, race and ethnicity, sex, systolic BP, total cholesterol level, high-density lipoprotein cholesterol level, and diabetes, smoking, and antihypertensive medication status.

Recruitment status

COMPLETED

Study phase

NA

Target enrollment

70 participants

Primary outcome timeframe

12 months

Results posted on

2025-02-11

Participant Flow

41 organizations (761 clinics) were assessed for eligibility. Of those, 26 organizations (691 clinics) either did not meet inclusion criteria (n=556 clinics) or declined participation/did not volunteer (n=135 clinics). A total of 15 organizations (70 clinics) were randomized. While individual patients were not enrolled for this clinic-randomized study, patient data from enrolled clinics was used in analyses. Clinic staff interviews not included in primary outcome analyses, so not reflected here.

Unit of analysis: clinics

Participant milestones

Participant milestones
Measure
Arm 1: Intervention (Immediate Implementation)
42 safety net community health centers (CHCs) from 8 organizations were randomized to implement the sophisticated CV Wizard clinical decision support (CDS). Arm 1 CHCs received implementation support that was pragmatically iterated to address any barriers to adoption/sustained use of the CDS that were identified through study activities. The investigators will apply the learnings from Arm 1 implementation with the goal of improving adoption rates in Arm 2.
Arm 2: Control (Delayed Implementation)
28 safety net community health centers (CHCs) from 7 organizations were randomized to implement the sophisticated CV Wizard clinical decision support (CDS) system 18 months later than Arm 1 clinics.
Overall Study
STARTED
11159 42
7419 28
Overall Study
COMPLETED
11159 42
7419 28
Overall Study
NOT COMPLETED
0 0
0 0

Reasons for withdrawal

Withdrawal data not reported

Baseline Characteristics

Patients newly diagnosed with diabetes during the follow-up period (n=347) were excluded from CVD risk analyses because diabetes may be diagnosed more often with CDSS use.

Baseline characteristics by cohort

Baseline characteristics by cohort
Measure
Arm 1: Intervention (Immediate Implementation)
n=11159 Participants
42 safety net community health centers (CHCs) from 8 organizations were randomized to implement the sophisticated CV Wizard clinical decision support (CDS). Arm 1 CHCs received implementation support that was pragmatically iterated to address any barriers to adoption/sustained use of the CDS that were identified through study activities. The investigators will apply the learnings from Arm 1 implementation with the goal of improving adoption rates in Arm 2.
Arm 2: Control (Delayed Implementation)
n=7419 Participants
28 safety net community health centers (CHCs) from 7 organizations were randomized to implement the sophisticated CV Wizard clinical decision support (CDS) system 18 months later than Arm 1 clinics.
Total
n=18578 Participants
Total of all reporting groups
Age, Continuous
58.3 years
STANDARD_DEVIATION 8.9 • n=11159 Participants
59.3 years
STANDARD_DEVIATION 8.7 • n=7419 Participants
58.7 years
STANDARD_DEVIATION 8.8 • n=18578 Participants
Sex: Female, Male
Female
5872 Participants
n=11159 Participants
3618 Participants
n=7419 Participants
9490 Participants
n=18578 Participants
Sex: Female, Male
Male
5287 Participants
n=11159 Participants
3801 Participants
n=7419 Participants
9088 Participants
n=18578 Participants
Race/Ethnicity, Customized
Hispanic
2785 Participants
n=11159 Participants
1196 Participants
n=7419 Participants
3981 Participants
n=18578 Participants
Race/Ethnicity, Customized
Non-Hispanic Black
2385 Participants
n=11159 Participants
966 Participants
n=7419 Participants
3351 Participants
n=18578 Participants
Race/Ethnicity, Customized
Non-Hispanic White
3891 Participants
n=11159 Participants
4543 Participants
n=7419 Participants
8434 Participants
n=18578 Participants
Race/Ethnicity, Customized
Non-Hispanic Other
658 Participants
n=11159 Participants
380 Participants
n=7419 Participants
1038 Participants
n=18578 Participants
Race/Ethnicity, Customized
Unknown
1440 Participants
n=11159 Participants
334 Participants
n=7419 Participants
1774 Participants
n=18578 Participants
Region of Enrollment
United States
11159 participants
n=11159 Participants
7419 participants
n=7419 Participants
18578 participants
n=18578 Participants
10-year CVD risk
15.6 percent risk of CVD
STANDARD_DEVIATION 12.3 • n=10984 Participants • Patients newly diagnosed with diabetes during the follow-up period (n=347) were excluded from CVD risk analyses because diabetes may be diagnosed more often with CDSS use.
16.6 percent risk of CVD
STANDARD_DEVIATION 12.8 • n=7247 Participants • Patients newly diagnosed with diabetes during the follow-up period (n=347) were excluded from CVD risk analyses because diabetes may be diagnosed more often with CDSS use.
16.0 percent risk of CVD
STANDARD_DEVIATION 12.5 • n=18231 Participants • Patients newly diagnosed with diabetes during the follow-up period (n=347) were excluded from CVD risk analyses because diabetes may be diagnosed more often with CDSS use.
Reversible CVD Risk
7.9 percent reversible risk of CVD
STANDARD_DEVIATION 9.0 • n=10984 Participants • Patients newly diagnosed with diabetes during the follow-up period (n=347) were excluded from CVD risk analyses because diabetes may be diagnosed more often with CDSS use.
9.7 percent reversible risk of CVD
STANDARD_DEVIATION 10.0 • n=7247 Participants • Patients newly diagnosed with diabetes during the follow-up period (n=347) were excluded from CVD risk analyses because diabetes may be diagnosed more often with CDSS use.
8.6 percent reversible risk of CVD
STANDARD_DEVIATION 9.4 • n=18231 Participants • Patients newly diagnosed with diabetes during the follow-up period (n=347) were excluded from CVD risk analyses because diabetes may be diagnosed more often with CDSS use.

PRIMARY outcome

Timeframe: 12 months

10-year CVD risk was estimated using the American College of Cardiology/American Heart Association pooled risk equations, which include age, race and ethnicity, sex, systolic BP, total cholesterol level, high-density lipoprotein cholesterol level, and diabetes, smoking, and antihypertensive medication status.

Outcome measures

Outcome measures
Measure
Arm 1: Intervention (Immediate Implementation)
n=10984 Participants
42 safety net community health centers (CHCs) from 8 organizations were randomized to implement the sophisticated CV Wizard clinical decision support (CDS). Arm 1 CHCs received implementation support that was pragmatically iterated to address any barriers to adoption/sustained use of the CDS that were identified through study activities. The investigators will apply the learnings from Arm 1 implementation with the goal of improving adoption rates in Arm 2.
Arm 2: Control (Delayed Implementation)
n=7247 Participants
28 safety net community health centers (CHCs) from 7 organizations were randomized to implement the sophisticated CV Wizard clinical decision support (CDS) system 18 months later than Arm 1 clinics.
1-year Change in 10-year CVD Risk
0.4 percent risk of CVD
Interval 0.3 to 0.5
0.2 percent risk of CVD
Interval 0.1 to 0.3

PRIMARY outcome

Timeframe: 12 months

Reversible CVD risk was calculated as follows: Standardized equations estimated the potential reduction in CVD risk if a patient's uncontrolled risk factors reached evidence-based thresholds. Change was calculated by subtracting reversible risk at follow-up from that at index visit; negative values represent favorable changes.

Outcome measures

Outcome measures
Measure
Arm 1: Intervention (Immediate Implementation)
n=10984 Participants
42 safety net community health centers (CHCs) from 8 organizations were randomized to implement the sophisticated CV Wizard clinical decision support (CDS). Arm 1 CHCs received implementation support that was pragmatically iterated to address any barriers to adoption/sustained use of the CDS that were identified through study activities. The investigators will apply the learnings from Arm 1 implementation with the goal of improving adoption rates in Arm 2.
Arm 2: Control (Delayed Implementation)
n=7247 Participants
28 safety net community health centers (CHCs) from 7 organizations were randomized to implement the sophisticated CV Wizard clinical decision support (CDS) system 18 months later than Arm 1 clinics.
1-year Change in Reversible CVD Risk
0.4 percent reversible risk of CVD
Interval 0.3 to 0.5
-0.1 percent reversible risk of CVD
Interval -0.3 to -0.02

Adverse Events

Arm 1: Intervention (Immediate Implementation)

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Arm 2: Control (Delayed Implementation)

Serious events: 0 serious events
Other events: 0 other events
Deaths: 0 deaths

Serious adverse events

Adverse event data not reported

Other adverse events

Adverse event data not reported

Additional Information

Rachel Gold, PhD MPH

Kaiser Permanente Center for Health Research

Phone: 503-335-2400

Results disclosure agreements

  • Principal investigator is a sponsor employee
  • Publication restrictions are in place