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Pattern recognition in health systems research for panel session: 'How can we achieve scientific rigour in health systems research'?

By Barbara McPake, D Blaauw and R Sheaff

Abstract

Experimental approaches such as randomised controlled trials have been successful in\ud identifying and testing medical technologies. There is enthusiasm for use of similar approaches\ud for health systems policies and programmes. This enthusiasm is a current manifestation of the\ud attempt to model social science on physical science. It fails to appreciate the social nature of\ud health system intervention where everything depends on how people interpret and implement\ud policy, and users respond to new programmes and services. Health systems research needs to\ud build more effectively on thinking from social science. This paper suggests a model through\ud which to conceptualise the health systems research problem, identifies some methods that are\ud consistent with studying its inherent complexity and shows, using a case study, how this\ud approach can inform policy

OAI identifier: oai:eresearch.qmu.ac.uk:1515

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Citations

  1. (1984). (1893) The division of labour in society, doi
  2. (1988). A conceptual model for public health research,
  3. (1975). A realist theory of science, doi
  4. (2004). Back to basics: does decentralization improve health system performance? Evidence from CearĂ¡ in north-east Brazil.
  5. (2002). Decentralization of health systems in Ghana, Zambia, Uganda and the Philippines: A comparative analysis of decision space. doi
  6. (1996). Decentralization. In: Health policy and systems development: An agenda for research
  7. (2005). Does the integrated management of childhood illness cost more than routine care? Results from the United Republic of Tanzania,
  8. (1996). Evaluation of health financing reforms in Uganda: a document review of user fees:
  9. (2000). Going down to the local: incorporating social organisation and political culture into assessments of decentralised health care. doi
  10. (1993). Health cost sharing in Kabarole District, Kampala: Tropical Health Consult. doi
  11. (2005). Healthcare financing systems for increasing the use of tobacco dependence treatment, The Cochrane Library, doi
  12. (2004). Integrated Management of Childhood Illness (IMCI) in Bangladesh: early findings from a cluster-randomised study, doi
  13. (2004). Kernel methods for pattern analysis, Cambridge University Press UNICEF doi
  14. (1976). Knowledge and Social Imagery. doi
  15. (2002). Linked: the new science of networks, doi
  16. (1854). On the Positivistic Approach to Society,
  17. (2000). Pattern classification: Pattern classification Part I, doi
  18. (2002). Political cultures, health systems and health policy. doi
  19. (2003). Randomisation to protect against selection bias in healthcare trials, In: The Cochrane Library, Issue 1, 2003. Oxford: Update Software doi
  20. (2001). Social Science Methodology: A criterial framework, doi
  21. (1999). Soft systems methodology in action, doi
  22. (2004). State transformation, health sector reform and HIV/AIDS policy implementation in post-apartheid South Africa: the tensions of public sector decentralisation [in French]. In: Afflictions. L'Afrique du Sud, de l'apartheid au sida
  23. (1996). The end of certainty: time, chaos and the new laws of nature, Free Press, Ritu Priya,
  24. (2004). The integrated management of childhood illness:
  25. (1997). The private-sector activities of public-sector health workers in Uganda, doi
  26. (1994). The reform of health care systems: a review of seventeen OECD countries, Health Policy Studies No. 5, OECD, Paris. Draft: not for citation
  27. (1974). The story of vaccination, Folkeston, Bailey and Swinfen Ritzer,
  28. (1999). World Health Organisation Department of Child and Adolescent Health and Development, Health Systems and Community Health

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