Abstract
Aims: This study aimed to investigate factors influencing the acceptance of smartphone applications among high-risk pregnant women in the Lao People's Democratic Republic to support continuous care. Design: An explanatory sequential mixed-methods design. Methods: The quantitative phase included 167 high-risk pregnant women recruited from four tertiary hospitals in Vientiane, Lao PDR. Validated questionnaires were used to measure demographics, digital technology usage, eHealth literacy and anxiety. Data were analysed using descriptive statistics and multiple regression analysis. In the qualitative phase, in-depth interviews with 20 women were conducted to further explore experiences, perceptions and barriers related to smartphone application usage. Interviews were analysed via direct content analysis. Results: Quantitative findings indicated that smartphone application acceptance was significantly predicted by eHealth literacy (B = 1.53, 95% CI 1.22–1.84, p < 0.001) and pre-existing non-communicable diseases (B = 4.39, 95% CI 1.05–7.73, p = 0.010). Anxiety negatively impacted acceptance (B = −0.28, 95% CI −0.51 to −0.05, p = 0.019). The model explained 53.9% of the variance in smartphone application acceptance (R2 = 0.539). Qualitative findings highlighted four key themes: awareness of pregnancy risks, unclear health information, perceived benefits of smartphone applications including accessibility and emotional reassurance and practical barriers such as internet costs and limited digital literacy. Conclusion: Positive perceptions of smartphone applications regarding accessibility and reassurance were observed, alongside significant barriers, such as limited digital literacy and internet costs. Addressing these factors may enhance the adoption and effective utilisation of digital health technologies among high-risk pregnant populations. Patient or Public Contribution: No patient or public contribution.
| Original language | English |
|---|---|
| Pages (from-to) | 3663-3677 |
| Number of pages | 15 |
| Journal | Journal of Advanced Nursing |
| Volume | 82 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - Apr 2026 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- health literacy
- high-risk pregnancy
- smartphone app
- technology acceptance
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