Journal of General Internal Medicine

, Volume 29, Issue 4, pp 653–660

Multimorbidity and Evidence Generation

  • Carlos O. Weiss
  • Ravi Varadhan
  • Milo A. Puhan
  • Andrew Vickers
  • Karen Bandeen-Roche
  • Cynthia M. Boyd
  • David M. Kent
Multimorbidity Symposium

Abstract

Most people with a chronic disease actually have more than one, a condition known as multimorbidity. Despite this, the evidence base to prevent adverse disease outcomes has taken a disease-specific approach. Drawing on a conference, Improving Guidelines for Multimorbid Patients, the goal of this paper is to identify challenges to the generation of evidence to support the care of people with multimorbidity and to make recommendations for improvement. We identified three broad categories of challenges: 1) challenges to defining and measuring multimorbidity; 2) challenges related to the effects of multimorbidity on study design, implementation and analysis; and 3) challenges inherent in studying heterogeneity of treatment effects in patients with differing comorbid conditions. We propose a set of recommendations for consideration by investigators and others (reviewers, editors, funding agencies, policymaking organizations) involved in the creation of evidence for this common type of person that address each of these challenges. The recommendations reflect a general approach that emphasizes broader inclusion (recruitment and retention) of patients with multimorbidity, coupled with more rigorous efforts to measure comorbidity and comorbidity burden and the influence of multimorbidity on outcomes and the effects of therapy. More rigorous examination of heterogeneity of treatment effects requires careful attention to prioritizing the most important comorbid-related questions, and also requires studies that provide greater statistical power than conventional trials have provided. Relatively modest changes in the orientation of current research along these lines can be helpful in pointing to and partially addressing selected knowledge gaps. However, producing a robust evidence base to support patient-centered decision making in complex individuals with multimorbidity, exposed to many different combinations of potentially interacting factors that can modify the risks and benefits of therapies, is likely to require a clinical research enterprise fundamentally restructured to be more fully integrated with routine clinical practice.

KEY WORDS

evidence-based medicine chronic disease guidelines comorbidity clinical trials 

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Copyright information

© Society of General Internal Medicine 2013

Authors and Affiliations

  • Carlos O. Weiss
    • 1
    • 2
  • Ravi Varadhan
    • 2
    • 3
    • 4
  • Milo A. Puhan
    • 5
  • Andrew Vickers
    • 6
  • Karen Bandeen-Roche
    • 3
    • 4
  • Cynthia M. Boyd
    • 2
  • David M. Kent
    • 7
  1. 1.Department of Family Medicine, College of Human MedicineMichigan State UniversityEast LansingUSA
  2. 2.Division of Geriatric Medicine and GerontologyJohns Hopkins UniversityBaltimoreUSA
  3. 3.The Johns Hopkins Center on Aging and HealthBaltimoreUSA
  4. 4.Department of BiostatisticsJohns Hopkins Bloomberg School of Public HealthBaltimoreUSA
  5. 5.Department of EpidemiologyJohns Hopkins Bloomberg School of Public HealthBaltimoreUSA
  6. 6.Department of Epidemiology & BiostatisticsMemorial Sloan-Kettering Cancer CenterNew YorkUSA
  7. 7.Predictive Analytics and Comparative Effectiveness (PACE) Center, Institute for Clinical Research and Health Policy StudiesTufts Medical CenterBostonUSA

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