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Lessons learned from two randomized controlled trials: CITIES and STOP-DKD.

Leah L Zullig1,2, Megan M Oakes2, Felicia McCant1

  • 1Center of Innovation to Accelerate Discovery and Practice Transformation, Durham Veterans Affairs Health Care System, Durham, NC, USA.

Contemporary Clinical Trials Communications
|July 21, 2020
PubMed
Summary
This summary is machine-generated.

Two randomized controlled trials in chronic disease management yielded null findings. Recommendations for future trials include piloting enrollment, targeted analysis considering treatment effect heterogeneity, and applying implementation science early.

Keywords:
Cardiovascular diseaseClinical trials as a topicMedication adherencePharmacistsResearch design

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Area of Science:

  • Clinical Trials
  • Telehealth
  • Chronic Disease Management

Background:

  • Two randomized controlled trials (RCTs), Cardiovascular Intervention Improvement Telemedicine Study (CITIES) and Simultaneous Risk Factor Control Using Telehealth to slow Progression of Diabetic Kidney Disease (STOP-DKD), targeted chronic disease management in patients with multiple comorbidities.
  • Despite theoretical underpinnings and sound design, both trials resulted in null findings, indicating a need to re-evaluate trial design considerations.

Purpose of the Study:

  • To discuss common design considerations across the CITIES and STOP-DKD trials.
  • To provide implications for the design of future randomized controlled trials (RCTs) in chronic disease management.

Main Methods:

  • Two parallel 1:1 randomized controlled trials (RCTs) with attention control groups.
  • Recruitment of patients from diverse clinical practices in the Research Triangle area, North Carolina.

Main Results:

  • Both the CITIES and STOP-DKD trials reported null findings, suggesting that the interventions did not achieve the desired clinical outcomes.
  • The variation in patient populations and clinical settings between the two trials may have influenced the outcomes.

Conclusions:

  • Future RCTs should pilot the enrollment process to ensure patient-intervention alignment with clinical outcomes.
  • Analysis plans should be more targeted, incorporating heterogeneity of treatment effects.
  • Early-stage RCTs should integrate implementation science principles to facilitate the transition of evidence into clinical practice.