Advancing Global Health Decision-Making

In May 2011, EABIS, Rutgers University and Johnson & Johnson are launching a new global thought leadership initiative on health decision-making in the global context. The inaugural event will be hosted by Rutgers in New Jersey, US, on May 20-21, 2011.
20/05/2011 - 21/05/2011

Background reading


Gawande, A. (2011, January). The hot spotters: Can we lower medical costs by giving the neediest patients better care? The New Yorker.

Article describes health-care hot-spotting as an evidence based approach to making choices about health care provision. The article features the work of Dr. Jeffrey Brenner and illustrates the challenges and entrepreneurship involved in making data a relevant basis for local health care decision-making. It also explore issues surrounding health-care hot-spotting.


Kolata, G. (2010, August). Sharing of data leads to progress on Alzheimer's. New York Times.

Article describes how a collaboration was built around information sharing that has led to scientific breakthroughs. A key part of the story illustrates the challenges of information sharing and how the group negotiated a set of rules that made the new collaboration succeed.


McGregor, J. (2009). Company 'Federations' to share data: The next step, beyond alliances and employee swapping, may be collaboration on infotech systems. Bloomberg Businessweek.

Highlights how new broad based collaboration can be fostered through integration of communication/social software used by firms.


Alexander, J. A., Christianson, J. B., Hearld, L. R., Hurley, R., & Scanlon, D. P. (2010). Challenges of capacity building in multisector community health alliances. Health Education & Behavior: The Official Publication of the Society for Public Health Education,

Capacity building is often described as fundamental to the success of health alliances, yet there are few evaluations that provide alliances with clear guidance on the challenges related to capacity building. This article attempts to identify potential challenges of capacity building in multistakeholder health alliances. The study uses a multiple case study design to identify potential challenges and trade-offs associated with capacity building in four community health alliances in the United States.


Multiple challenges were found to be common across the four alliances, including specifying appropriate governance structures and decision-making frameworks, aligning stakeholder interests with the vision of the alliance, balancing short-term objectives with longterm goals, and securing resources to sustain the effort without compromising it. These challenges often involved trade-offs and choices that alliances need to prepare for if they are to approach capacity building in a planful rather than a reactive manner.


Institute for Health Metrics and Evaluation. Financing Global Health.

Development assistance and country spending in economic uncertainty. Seattle, WA: IHME, 2010.

Financing Global Health 2010: Development Assistance and Country Spending in Economic Uncertainty shows the continued rise in development assistance for health globally and provides a comprehensive picture of the total amount of health funding flowing from aid agencies, governments, and private donors to developing countries. It also shows the dramatic increase in health spending by developing countries on their own health projects and the way development assistance for health appears to affect those domestic funding decisions.


This is the second annual publication on global health financing, providing valid and consistent time series data for tracking global health resources and offering in-depth analyses. To make our report more current, IHME developed new analytical methods that draw on government budgets, expenditure patterns, and data from funders to make preliminary estimates for 2009 and 2010, overcoming a two-year lag in the reporting of health assistance.


Podolak, I. (2010). A review of the health data landscape: Trends, Successes, and Gaps.

This document summarizes the findings of a research study conducted to determine the current status of health data management in the world. The key objective was to identify the gaps that need to be addressed to achieve the vision of “better health data for better health: individual, national and global”.

Supporting documents

Please downoad the following event information:

List of participants

Draft programme

Logistics overview for participants

More Information

Please contact Joris Lenssen ( or Dr. Mark Aakhus (

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