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Center for Health System Sustainability

Center for Health System Sustainability

Real-world data for global health policy.

Center for Health System Sustainability

Real-world data for global health policy.

At the Center for Health System Sustainability (CHeSS), we help countries learn from one another to optimize patient care and build resilient and sustainable health systems. We do so by leveraging patient-level data and global partnerships to produce comparative data insights and actionable policy recommendations.

About CHeSS

Powering health systems research with patient-level data through global partnership.
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Areas of Work

We learn what makes health systems high-performing, resilient, and sustainable.
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Our Data Network

International Collaborative for Costs, Outcomes, and Needs in Care (ICCONIC)
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https://www.youtube.com/embed/7wBK4II5N_A

CHeSS asks

 

What is the biggest issue with the RI healthcare system?

CHeSS: A new center at Brown to study health care systems across countries

A discussion comparing health policy challenges facing the U.S. to those faced by other high-income countries illustrated how the Center for Health System Sustainability aims to improve health care systems through research.

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The Latest at CHeSS

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The Economist

How Britain decides which drugs to buy

April 16, 2025
Since 1999, the National Institute for Health and Care Excellence has weighed costs against benefits to help the NHS decide what it should buy. The institute’s boss, Sam Roberts, calls it a mindful “health-care innovation shopper”. Within a fixed budget, every new drug it buys risks squeezing essentials like GPs or ambulances among existing health-care services.
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The New England Journal of Medicine

Association between Wealth and Mortality in the United States and Europe

April 2, 2025
We performed a longitudinal, retrospective cohort study involving adults 50 to 85 years of age who were included in the Health and Retirement Study and the Survey of Health, Ageing, and Retirement in Europe between 2010 and 2022. Wealth quartiles were defined according to age group and country, with quartile 1 comprising the poorest participants and quartile 4 the wealthiest. Mortality and Kaplan–Meier curves were estimated for each wealth quartile across the United States and 16 countries in northern and western, southern, and eastern Europe. We used Cox proportional-hazards models that included adjustment for baseline covariates (age group, sex, marital status [ever or never married], educational level [any or no college education], residence [rural or nonrural], current smoking status [smoking or nonsmoking], and absence or presence of a previously diagnosed long-term condition) to quantify the association between wealth quartile and all-cause mortality from 2010 through 2022 (the primary outcome).
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PLOS One

Does experience matter? Understanding the mechanism of the volume-outcome relationship: Learning-by-doing or economies of scale

March 26, 2025
The volume-outcome relationship has been a commonly invoked policy initiative aimed at improving the quality of healthcare. This inverse relationship between the caseload volume of patients treated and patient mortality has been described across many health settings and in many countries. Despite the large body of literature demonstrating this favourable relationship, most studies have focused on differentiating the effects of selective referral and the true effects of volume. In comparison, there are few studies evaluating the underlying mechanism of the volume-outcome relationship, namely dynamic learning-by-doing or the static effect of economics of scale. Resolving this tension between policies that allow providers to accrue experience over time and policies that promote centralisation of services would make a more compelling argument for policies such as minimum volume standards to be firmly established.
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Upcoming CHeSS events

Harmonizing International Health Data for Better Outcomes

Professor Irene Papanicolas joins Megan Hall on the Humans in Public Health podcast to discussed her work: she aims to standardize data from across global health systems and compare them in order to inform policy choices and improve health care value and patient care.

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Providence RI 02903 401-863-3375 public_health@brown.edu

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