@article{fdi:010078147,
  title = {{U}sing implementation science theories and frameworks in global health},
  author = {{R}idde, {V}al{\'e}ry and {P}erez, {D}. and {R}obert, {E}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n global health, researchers and decision makers, many of whom have medical, epidemiology or biostatistics background, are increasingly interested in evaluating the implementation of health interventions. {I}mplementation science, particularly for the study of public policies, has existed since at least the 1930s. {T}his science makes compelling use of explicit theories and analytic frameworks that ensure research quality and rigour. {O}ur objective is to inform researchers and decision makers who are not familiar with this research branch about these theories and analytic frameworks. {W}e define four models of causation used in implementation science: intervention theory, frameworks, middle-range theory and grand theory. {W}e then explain how scientists apply these models for three main implementation studies: fidelity assessment, process evaluation and complex evaluation. {F}or each study, we provide concrete examples from research in {C}uba and {A}frica to better understand the implementation of health interventions in global health context. {G}lobal health researchers and decision makers with a quantitative background will not become implementation scientists after reading this article. {H}owever, we believe they will be more aware of the need for rigorous implementation evaluations of global health interventions, alongside impact evaluations, and in collaboration with social scientists.},
  keywords = {{CUBA} ; {AFRIQUE} ; {BURKINA} {FASO}},
  booktitle = {},
  journal = {{BMJ} {G}lobal {H}ealth},
  volume = {5},
  numero = {4},
  pages = {e002269 [8 ]},
  ISSN = {2059-7908},
  year = {2020},
  DOI = {10.1136/bmjgh-2019-002269},
  URL = {https://www.documentation.ird.fr/hor/fdi:010078147},
}