Maria C. Raven, MD, MPH, MSc, Iyah Romm, and Toyin Ajayi, MD, MPhil

May 17, 2017

Complex populations in health care are often defined as groups of individuals with co-occurring medical and behavioral health diagnoses as well as significant social challenges. Large sums of money have been devoted to developing interventions focused on “bending the cost curve” by attenuating the rapidly rising costs of caring for these populations. Whether such programs actually save health care dollars remains an open question because rigorous evaluation data are limited. In the absence of empirical evidence regarding program models that are worth replicating, new program models continue to abound and evaluators continue to evaluate.

In an article from NEJM Catalyst, authors Maria C. Raven, MD, MPH, MSc, Iyah Romm, and Toyin Ajayi, MD, MPhil — participants in CHCS’ Complex Care Innovation Lab made possible by Kaiser Permanente Community Benefit — discuss the lack of evaluation data available for complex care program models. The authors note several programs that do link data across health and social domains in order to illustrate program impact, such as the Pay For Success project in Santa Clara County and data integration and predictive modeling efforts in Washington State, but note that “these programs are the exception rather than the rule. Why is this, and what can be done?”

Read the full article on NEJM Catalyst.

Reposted from NEJM Catalyst.

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