This paper is in the following e-collection/theme issue:

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (393) Usability of Apps and User Perceptions of mHealth (701) Decision Support for Health Professionals (697) Mobile Health and Apps for Maternal and Child Health (92)

Published on in Vol 6 , No 12 (2018) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11468, first published .
Unveiling the Black Box of Diagnostic and Clinical Decision Support Systems for Antenatal Care: Realist Evaluation

Unveiling the Black Box of Diagnostic and Clinical Decision Support Systems for Antenatal Care: Realist Evaluation

Unveiling the Black Box of Diagnostic and Clinical Decision Support Systems for Antenatal Care: Realist Evaluation

Authors of this article:

Ibukun-Oluwa Omolade Abejirinde 1, 2, 3 Author Orcid Image ;   Marjolein Zweekhorst 2 Author Orcid Image ;   Azucena Bardají 3 Author Orcid Image ;   Rudolf Abugnaba-Abanga 4 Author Orcid Image ;   Norbert Apentibadek 5 Author Orcid Image ;   Vincent De Brouwere 1 Author Orcid Image ;   Jos van Roosmalen 2, 6 Author Orcid Image ;   Bruno Marchal 1 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

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  2. Leonard E, de Kock I, Bam W. Barriers and facilitators to implementing evidence-based health innovations in low- and middle-income countries: A systematic literature review. Evaluation and Program Planning 2020;82:101832 View
  3. Van Belle S. Global Health Research, Anthropology and Realist Enquiry. Anthropology in Action 2019;26(1):42 View
  4. Marchal B, Abejirinde I, Sulaberidze L, Chikovani I, Uchaneishvili M, Shengelia N, Diaconu K, Vassall A, Zoidze A, Giralt A, Witter S. How do participatory methods shape policy? Applying a realist approach to the formulation of a new tuberculosis policy in Georgia. BMJ Open 2021;11(6):e047948 View