By the same authors

From the same journal

Health system modelling research: towards a whole-health-system perspective for identifying good value for money investments in health system strengthening

Research output: Contribution to journalArticle


  • Stéphane Verguet
  • Isabelle Feldhaus
  • Xiaoxiao Jiang Kwete
  • Anwer Aqil
  • Rifat Atun
  • David Bishai
  • Michele Cecchini
  • Augusto Afonso Guerra Junior
  • Mahlet Kifle Habtemariam
  • Abdulrahman Jbaily
  • Ozge Karanfil
  • Margaret E. Kruk
  • Sebastien Haneuse
  • Ole Frithjof Norheim
  • Peter C. Smith
  • Mieraf Taddesse Tolla
  • Solomon Zewdu
  • Jesse Bump


Publication details

JournalBMJ Global health
DateAccepted/In press - 15 Feb 2019
DatePublished (current) - 1 Apr 2019
Issue number2
Number of pages5
Original languageEnglish


Global health research has typically focused on single diseases, and most economic evaluation research to date has analysed technical health interventions to identify 'best buys'. New approaches in the conduct of economic evaluations are needed to help policymakers in choosing what may be good value (ie, greater health, distribution of health, or financial risk protection) for money (ie, per budget expenditure) investments for health system strengthening (HSS) that tend to be programmatic. We posit that these economic evaluations of HSS interventions will require developing new analytic models of health systems which recognise the dynamic connections between the different components of the health system, characterise the type and interlinks of the system's delivery platforms; and acknowledge the multiple constraints both within and outside the health sector which limit the system's capacity to efficiently attain its objectives. We describe priority health system modelling research areas to conduct economic evaluation of HSS interventions and ultimately identify good value for money investments in HSS.

Bibliographical note

© Author(s) (or their employer(s)) 2019.

    Research areas

  • economic evaluation, health system modelling, health system strengthening

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