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

Digital Health, Telehealth and e-Innovation in Clinical Settings (474) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (186) Adoption and Change Management of eHealth Systems (797) New Methods (1030) Pharmacovigilance (155)

Published on in Vol 11, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40597, first published .
Barriers and Facilitators Influencing Real-time and Digital-Based Reporting of Adverse Drug Reactions by Community Pharmacists: Qualitative Study Using the Task-Technology Fit Framework

Barriers and Facilitators Influencing Real-time and Digital-Based Reporting of Adverse Drug Reactions by Community Pharmacists: Qualitative Study Using the Task-Technology Fit Framework

Barriers and Facilitators Influencing Real-time and Digital-Based Reporting of Adverse Drug Reactions by Community Pharmacists: Qualitative Study Using the Task-Technology Fit Framework

Authors of this article:

Joel Fossouo Tagne1, 2 Author Orcid Image ;   Reginald Amin Yakob3 Author Orcid Image ;   Rachael Mcdonald2, 4, 5 Author Orcid Image ;   Nilmini Wickramasinghe1, 5, 6 Author Orcid Image
Article Authors Cited by (6) Tweetations (6) Metrics

Journals

  1. Fossouo Tagne J, Yakob R, Dang T, Mcdonald R, Wickramasinghe N. Reporting, Monitoring, and Handling of Adverse Drug Reactions in Australia: Scoping Review. JMIR Public Health and Surveillance 2023;9:e40080 View
  2. Fossouo Tagne J, Yakob R, Mcdonald R, Wickramasinghe N. Linking Activity Theory Within User-Centered Design: Novel Framework to Inform Design and Evaluation of Adverse Drug Reaction Reporting Systems in Pharmacy. JMIR Human Factors 2023;10:e43529 View
  3. Fossouo Tagne J, Yakob R, Mcdonald R, Wickramasinghe N. A Web-Based Tool to Report Adverse Drug Reactions by Community Pharmacists in Australia: Usability Testing Study. JMIR Formative Research 2023;7:e48976 View
  4. Naderian S, Rahmani R, Samad-Soltani T. A Natural Language Processing Framework for Detecting Adverse Drug Reactions in Clinical Structured Drug Reviews. International Journal of Drug Research in Clinics 2024;2:e9 View
  5. Xia X, Yang X, Du J, Cheng W, Chen X, Zhang W, Yin Z. Exploring willingness to use adverse drug reaction reporting systems: a multicentre qualitative study in China based on the technology acceptance model and task-technology fit integration approach. BMJ Open 2024;14(10):e087701 View

Books/Policy Documents

  1. Nguyen N. Technology Enhanced Learning for Inclusive and Equitable Quality Education. View