Use of interrupted time series methods in the evaluation of health system quality improvement interventions: a methodological systematic review

BACKGROUND: When randomisation is not possible, interrupted time series (ITS) design has increasingly been advocated as a more robust design to evaluating health system quality improvement (QI) interventions given its ability to control for common biases in healthcare QI. However, there is a potenti...

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Detalles Bibliográficos
Autores principales: Hategeka, Celestin, Ruton, Hinda, Karamouzian, Mohammad, Lynd, Larry D, Law, Michael R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559052/
https://www.ncbi.nlm.nih.gov/pubmed/33055094
http://dx.doi.org/10.1136/bmjgh-2020-003567

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559052/
https://www.ncbi.nlm.nih.gov/pubmed/33055094
http://dx.doi.org/10.1136/bmjgh-2020-003567

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