Making explicit choices on the path to UHC: the JLN health benefits package revision guide

In recent decades, many LMICs have adopted a Health Benefits Package (HBP), which defines the coverage of services, the proportion of the costs that are covered, and who can receive these services under Universal Health Coverage. Once developed and implemented, a HBP should not be static as revisions ensure that the package is up-to-date and is delivered appropriately, and that available resources are used efficiently and wisely.

The JLN Guide for Health Benefits Package Revision aims to support practitioners in low- and middle-income countries (LMICs) to revise their HBPs, while responding to changing disease burdens, fluctuating budgets, and the emergence of new services and health technologies, and to correct for implementation challenges.

Co-produced by the JLN’s Efficiency collaborative, this Guide packages the experiences and expertise from 14 JLN member countries, including Bangladesh, Ethiopia, Ghana, India, Indonesia, Kenya, Laos, Malaysia, Mongolia, Nigeria, the Philippines, South Africa, Sudan and Vietnam.

The guide can be downloaded here.

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Research Research groups

Where experience meets talent

By working in groups, we accelerate the development of knowledge and its implementation. Each group is led by an experienced group leader, who ensures the direction, focus and sustainable development of the group and the well-being and professional development of its members. The specialized knowledge is applied in one or more research programs.

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Our research groups

Addiction psychiatry

Arnt Schellekens's research group aims to reduce the tremendous burden of addictive disorders through translational research, linking basic science with clinical practice. The group focuses on disentangling clinical heterogeneity, in order to develop personalized addiction treatment strategies.

Advanced x-ray imaging methods

Ioannis Sechopoulos's research group specializes in research on novel image acquisition, processing and analysis in diagnostic x-ray based imaging, particularly for breast and body computed tomography.

Affordability and accessibility of care

Bram Wouterse's research group investigates how to make health care systems sustainable, from a financial, work force, societal, and environmental perspective. We do so in collaboration with policymakers and by combining evidence at the individual and local level.

AI for precision medicine

Francesco Ciompi's research group focuses on precision medicine, investigating and developing artificial intelligence models to better understand diseases, discover novel biomarkers, and help physicians to improve their routine diagnostics and select the right treatments to help patients.

AI in thoracic oncology

Colin Jacobs's research group investigates how to develop robust and trustworthy artificial intelligence algorithms for medical imaging in the field of lung cancer, how to validate these algorithms in clinical practice, and how we can have the most impact with AI in healthcare.

Pages in development

We are in the process of creating a web page for each research group. Over the next few months, this overview will be completed.

Pages in development