Logic models help make sense of complexity in systematic reviews and health technology assessments

Rohwer, A., Pfadenhauer, L., Burns, J. et al. (5 more authors) (2017) Logic models help make sense of complexity in systematic reviews and health technology assessments. Journal of Clinical Epidemiology, 83. pp. 37-47. ISSN 1878-5921

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Copyright, Publisher and Additional Information: © 2016 Elsevier Ltd. This is an author produced version of a paper subsequently published in Journal of Clinical Epidemiology. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/)
Keywords: Africa; analytical framework; complexity; conceptual framework; evidence synthesis; systems-based thinking
Dates:
  • Accepted: 10 June 2016
  • Published (online): 3 August 2016
  • Published: March 2017
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > Sheffield Centre for Health and Related Research
Depositing User: Symplectic Sheffield
Date Deposited: 19 Sep 2016 08:55
Last Modified: 04 Aug 2017 04:08
Published Version: http://dx.doi.org/10.1016/j.jclinepi.2016.06.012
Status: Published
Publisher: Elsevier
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.jclinepi.2016.06.012
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