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

mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (523) Usability of Apps and User Perceptions of mHealth (902) Decision Support for Health Professionals (1145) Mobile Health and Apps for Maternal and Child Health (128)

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 Abejirinde1, 2, 3 Author Orcid Image ;   Marjolein Zweekhorst1 Author Orcid Image ;   Azucena Bardají3 Author Orcid Image ;   Rudolf Abugnaba-Abanga4 Author Orcid Image ;   Norbert Apentibadek5 Author Orcid Image ;   Vincent De Brouwere2 Author Orcid Image ;   Jos van Roosmalen1, 6 Author Orcid Image ;   Bruno Marchal2 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

Journals

  1. Odendaal W, Anstey Watkins J, Leon N, Goudge J, Griffiths F, Tomlinson M, Daniels K. Health workers’ perceptions and experiences of using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis. Cochrane Database of Systematic Reviews 2020 View
  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
  5. Yoo N, Jang S. Digital technology use, technological self-efficacy, and subjective well-being among North Korean migrants during the COVID-19 pandemic: Moderated moderation. DIGITAL HEALTH 2023;9:205520762311715 View
  6. Wheat H, Weston L, Oh T, Morgan-Trimmer S, Ingram W, Griffiths S, Sheaff R, Clarkson P, Medina-Lara A, Musicha C, Spicer S, Ukoumunne O, Allgar V, Creanor S, Clark M, Quinn C, Gude A, McCabe R, Batool S, Smith L, Richards D, Shafi H, Warwick B, Lasrado R, Hussain B, Jones H, Dalkin S, Bate A, Sherriff I, Robinson L, Byng R. Longitudinal realist evaluation of the Dementia PersonAlised Care Team (D-PACT) intervention: protocol. BJGP Open 2023;7(3):BJGPO.2023.0019 View
  7. Ackerhans S, Huynh T, Kaiser C, Schultz C. Exploring the role of professional identity in the implementation of clinical decision support systems—a narrative review. Implementation Science 2024;19(1) View

Books/Policy Documents

  1. Gambo I, Ayegbusi E, Abioye O, Omodunbi T, Ikono R, Olufokunbi K. Advancing Health Education With Telemedicine. View