Published June 3, 2022 | Version v1
Dataset Open

Critical barriers to sustainable capacity strengthening in global health: A systems perspective on development assistance

  • 1. JSI Research and Training Institute, Inc.
  • 2. Global Change Labs
  • 3. Independent consultant
  • 4. USAID
  • 5. Bill & Melinda Gates Foundation
  • 6. University of Zimbabwe
  • 7. Government of Nepal
  • 8. COMPRE Health Services
  • 9. Malaria Consortium
  • 10. Federal Ministry of Health - Nigeria
  • 11. Health Policy and Population Research Center, University of Mexico
  • 12. White Ribbon Alliance
  • 13. Ministry of Food and Agriculture, Ghana
  • 14. JSI Research & Training Institute, Inc.
  • 15. National Health Insurance Scheme Nigeria

Description

These qualitative datasets are associated with work done under the Inter-agency Working Group for Capacity Strengthening initiative. The data was captured via Miro - a digital whiteboarding tool - using an innovative co-creation process called Systems Acupuncture and details the nine systemic barriers impeding a better, more sustainable country-driven model for capacity strengthening. The data was captured over a series of stakeholder workshops and discussion sessions, and synthesized into nine "system syndrome" maps. The maps illustrate the multi-dimensional causal relationships between individual system drivers and display feedback loops (i.e., sets of drivers that reinforce each other) within and between the system syndrome maps. The two pending manuscripts, both submitted to Gates Open Research, this data is associated with are:

  1. Critical barriers to sustainable capacity strengthening in global health: A systems perspective on development assistance
  2. Exploring system drivers of gender inequity in development assistance for health and opportunities for action

 

Files

Draft Syndrome maps_compiled.pdf

Files (7.3 MB)

Name Size Download all
md5:f90db2eefd05d3690dc5fec12695b732
358.8 kB Preview Download
md5:da65c4afb750f8bdd22e1b2ff42c83f7
594.2 kB Preview Download
md5:bbb413be07ba7aeac97153c6b970a5e7
5.8 MB Preview Download
md5:c6fd9995c8af94f9390458e0f5c1d12a
456.6 kB Preview Download
md5:fc44cae9b95a57acbc691eb956d2586e
76.5 kB Preview Download
md5:05c91b0e9bbe73a5bd23c14bcbdecb7f
71.9 kB Preview Download