Factors influencing the adoption and acceptance of eHealth in Malaysia: a systematic review
eHealth, supported by information and communication technology (ICT), improves healthcare quality, accessibility, and cost-efficiency, especially in developing countries with limited infrastructure. In Malaysia, however, eHealth adoption remains low due to high implementation costs, privacy concerns...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Critical Public Health |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/09581596.2025.2519780 |
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| Summary: | eHealth, supported by information and communication technology (ICT), improves healthcare quality, accessibility, and cost-efficiency, especially in developing countries with limited infrastructure. In Malaysia, however, eHealth adoption remains low due to high implementation costs, privacy concerns, limited training, low health literacy, and resource constraints. Understanding the factors influencing eHealth adoption is essential for designing effective interventions, yet a comprehensive review specific to Malaysia is lacking. This study systematically reviews empirical literature to identify key factors affecting eHealth acceptance in Malaysia from patient and healthcare professional perspectives. A search of Google Scholar (2015–2024) was conducted using terms such as ‘Acceptance of eHealth in Malaysia,’ ‘eHealth acceptance and use in Malaysia,’ ‘Technology acceptance in healthcare Malaysia,’ and ‘Digital healthcare system in Malaysia.’ Studies outside Malaysia or lacking relevant determinants were excluded. Key factors influencing adoption include perceived usefulness (PU), perceived ease of use (PEOU), facilitating conditions, social influence, and attitude. These vary by technology type. Teleconsultation (TC) is influenced by PU and attitude; electronic medical records (EMRs) are shaped by security concerns and individual factors. Mobile health (mHealth) adoption depends on performance expectancy, facilitating conditions, and social influence. Behavioral intention (BI) strongly predicts actual usage. Technological factors affect eHealth adoption but are more effective when supported by social and organizational contexts. A user-friendly system alone is insufficient without motivation, training, and institutional support. Social influence significantly shapes adoption, while organizational structures influence PU. These findings can guide policymakers in developing strategies to enhance eHealth adoption in Malaysia and similar settings. |
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| ISSN: | 0958-1596 1469-3682 |