The Role of the User Information Environment in mHealth Effectiveness
Wei Wang et al.
Abstract
Despite the promise of mobile health (mHealth) systems, about half of interventions fail to show significant effects. We examine how users’ information environments—the sources from which they obtain health information—shape mHealth effectiveness. Using information integration theory, we ran a 25-month field experiment with 4,629 expectant mothers in rural China, testing an SMS intervention to reduce unnecessary C-sections. The intervention produced a 25.9% overall reduction, but effects depended on how mHealth information integrated with public and private sources. Public information, consistent with theory, overlaps with mHealth content and can complement it for unplanned pregnancies. In contrast, integrating mHealth with private information entails dynamics beyond simple information addition, including physician behavior. Results show that mHealth coupled with private information—especially care-seeking content—prompted more visits and inadvertently enabled provider-driven overtreatment rather than informed patient choice. For practice, mHealth efficacy is inseparable from social context. Providers should recognize that visits and decisions reflect family and peer influence and app design, not just clinical need, to avoid overtreatment. Developers should design with users’ existing information ecosystems rather than treat apps as isolated tools. Clinical guidelines should be updated to reflect mHealth-environment interactions, and patients should build media literacy to synthesize information from multiple sources.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.