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News

Future Health Systems is a research consortium working to improve access, affordability and quality of health services for the poor. We are a partnership of leading research institutes from across the globe working in a variety of contexts: in low-income countries (Bangladesh, Uganda), middle-income countries (China, India) and fragile states (Afghanistan) to build resilient health systems for the future. After a successful first five-year phase from 2006-2011 (see our success stories), we are entering a new six-year phase of research, funded mainly by UK aid.

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Filtering by Category: Complex adaptive systems

WEBINAR: How can participatory engagement of stakeholders unveil health system complexities?

Future Health Systems

Identifying who various stakeholders are and engaging them in health policy and systems research and implementation is key for better understanding complex health system behavior. This webinar introduces you to a couple of tools and approaches that promote the application of systems thinking through the participatory engagement of stakeholders. In addition, our panelists will reflect on the current landscape of teaching health policy and systems research and the implications for teaching participatory engagement. Our discussion will focus on practical implications of engaging stakeholders in health policy and systems research.

Panelists:

Dr. Elizabeth Ekirapa, Lecturer - Department of Health Policy Planning and Management, Makerere University School of Public Health; Uganda team lead from the Future Health Systems Research Consortium (ekky@musph.ac.ug)

Dr. Martin Reynolds, Senior Lecturer in Systems Thinking and the Lead for postgraduate program in Systems Thinking in Practice - Department of Engineering and Innovation, The Open University (martin.reynolds@open.ac.uk)

Dr. David Peters, Professor - Department of International Health, Johns Hopkins University School of Public Health; Co-facilitator of the Health Systems Global Technical Working Group on Teaching and Learning Health Policy and Systems Research; Research Director of the Future Health Systems Research Consortium (dpeters@jhu.edu)
Moderator:

Dr. Ligia Paina, Assistant Scientist - Department of International Health, Johns Hopkins University School of Public Health; co-lead of the complexity science and systems thinking cluster; Member of the Future Health Systems Research Consortium (lpaina@jhu.edu)

Organizers:
HSG SHAPES TWG - Systems Thinking and complexity cluster and HSG Teaching and Learning HPSR TWG

How to join:
https://attendee.gotowebinar.com/register/3882196714455898116
Twitter Hashtag: #engagingstakeholders


FHS at the Fourth Global Symposium on Health Systems Research, 14-18 November 2016

Future Health Systems

Future Health Systems members are excited to be contributing to the Fourth Global Symposium on Health Systems Research, which will be held in Vancouver, Canada, from 14 to 18 November.

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FHS and STEPS co-host workshop on complex adaptive systems

Future Health Systems

Health systems are seen as a complex adaptive systems (CAS), with multiple actors and relationships operating in difficult and changing contexts, with many points of intervention, and numerous intended and unintended consequences that can improve or damage people’s health. Although CAS frameworks are increasingly recognized as relevant to understanding health systems, health systems researchers have to date not taken advantage of CAS research methods to inform interventions that will be effective on a large scale and in sustainable ways.

In June 2014, Future Health Systems (FHS) and the STEPS Centre (Social, Technological and Environmental Pathways to Sustainability) co-hosted a workshop exploring CAS approaches to health systems strengthening in low- and middle-income countries (LMICs).  FHS and STEPS are particularly concerned with policies, programs, and individual level interventions promote and protect people’s health and wellbeing, particularly vulnerable and disadvantaged populations.

The workshop was designed mainly to build capacity among both consortia on specific methods for working with and understanding CAS.

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