ArticleJournal of the American Medical Informatics Association : JAMIA2018
Barriers to the success of an electronic pharmacovigilance reporting system in Kenya: an evaluation three years post implementation.
Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Factors affecting reporting of patient safety incidents in the Eastern Cape primary health care.African journal of primary health care & family medicine · 2026Article
- Drug use patterns at a Kenyan referral hospital: A cross-sectional study using WHO core indicators.PloS one · 2026Article
- Enablers, Challenges, and Lessons Learned From a Digital Health Intervention (Sehatmandi App) in Afghanistan: Qualitative Study.Journal of medical Internet research · 2025Article
- Community health worker payment processes: a qualitative assessment of experiences in two Indian states.Health policy and planning · 2025Article
- Article
- Perception of healthcare administrators on the impediments of optimizing adverse events following immunization e-Reporting in Nigeria.PloS one · 2025Article
- Challenges and lessons learned from four years of planning and implementing pharmacovigilance enhancement in sub-Saharan Africa.BMC public health · 2022Article
- The development of a pharmacovigilance system in Bahrain.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2022Article
- Barriers and facilitators for the sustainability of digital health interventions in low and middle-income countries: A systematic review.Frontiers in digital health · 2022Review
- Direct reporting of adverse drug reactions by healthcare consumers in Africa: a narrative review.International journal of clinical pharmacy · 2021Review
- Development of a pharmacovigilance system in a resource-limited country: the experience of the Democratic Republic of Congo.Therapeutic advances in drug safety · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Objective: Electronic pharmacovigilance reporting systems are being implemented in many developing countries in an effort to improve reporting rates. This study sought to establish the factors that acted as barriers to the success of an electronic pharmacovigilance reporting system in Kenya 3 years after its implementation. Materials and Methods: Factors that could act as barriers to using electronic reporting systems were identified in a review of literature and then used to develop a survey questionnaire that was administered to pharmacists working in government hospitals in 6 counties in Kenya. Results: The survey was completed by 103 out of the 115 targeted pharmacists (89.5%) and included free-text comments. The key factors identified as barriers were: unavailable, unreliable, or expensive Internet access; challenges associated with a hybrid system of paper and electronic reporting tools; and system usability issues. Coordination challenges at the national pharmacovigilance center and changes in the structure of health management in the country also had an impact on the success of the electronic reporting system. Discussion: Different personal, organizational, infrastructural, and reporting system factors affect the success of electronic reporting systems in different ways, depending on the context. Context-specific formative evaluations are useful in establishing the performance of electronic reporting systems to identify problems and ensure that they achieve the desired objectives. Conclusion: While several factors hindered the optimal use of the electronic pharmacovigilance reporting system in Kenya, all were considered modifiable. Effort should be directed toward tackling the identified issues in order to facilitate use and improve pharmacovigilance reporting rates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.