ReviewDigital health
Applying PEST analysis to evaluate the adoption of electronic health records in Tanzanian healthcare: A scoping review.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed.
- Reporting Horizon Scanning Studies: Prototype Development Study.Journal of medical Internet research · 2026Article
- Surviving institutional contradictions: routine data use practices at the subnational levels.Oxford open digital health · 2026Article
- Factors influencing the availability and use of electronic medical records systems in public health facilities in Uganda: a cross-sectional assessment.BMC medical informatics and decision making · 2025Article
- Article
- Perceptions of AI-supported training for electronic health record use in Tanzania: A preliminary exploratory study.Digital healthArticle
- Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Adopting electronic health records (EHR) is critical for improving healthcare efficiency, yet implementation remains inconsistent, particularly in developing countries. This study applies a scoping review approach to evaluate the macro-environmental factors influencing EHR adoption in Tanzania using the PEST (Political, Economic, Social, and Technological) analysis framework. Objectives: This study explores the adoption of EHR systems in Tanzanian healthcare using the PEST analysis framework to identify macro-environmental factors influencing implementation. Methods: A scoping review methodology was employed, examining 35 studies published between 2010 and 2024. A comprehensive search was conducted in Scopus, PubMed, JSTOR, and Emerald. Reference lists of relevant studies were also reviewed for additional sources. Data were systematically extracted using a standardised framework categorising studies under political, economic, social, and technological domains. Thematic synthesis was applied to identify key patterns. Results: The review included 35 studies, highlighting that political inconsistencies, economic constraints, social resistance, and technological limitations hinder EHR adoption. Key barriers include weak policy enforcement, unsustainable funding, workforce resistance, and poor ICT infrastructure. However, potential solutions such as strengthening governance frameworks, leveraging public-private partnerships, targeted digital literacy training, and improving ICT infrastructure were identified. Conclusion: This study provides valuable insights into the macro-environmental challenges affecting the adoption of EHR systems in Tanzania. Addressing these barriers through a comprehensive policy and infrastructure development strategy is critical to ensuring successful digital health transformation.
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Registered trials
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