Supplementary file 1_Differential acceptance of a national digital health platform among c

February to March 2025 survey of 280 community and frontline health workers in the Poro Health Region of Cote d'Ivoire, assessing acceptance of the mHealth.ci digital health platform. The data was collected using a combined Technology Acceptance Model framework and analyzed with R. The dataset was authored by Kadidiatou Raïssa Kourouma and published on figshare in 2026.

Use Cases

• Modeling determinants of technology acceptance based on perceived usefulness and ease of use.
• Comparing technology adoption patterns between different categories of health workers based on socio-demographic differences.
• Analyzing the relationship between social influence, personal emotion, and actual use of a digital tool.
• Investigating training and supervision needs for digital health platforms based on reported confidence and stress levels.

Strengths

• Data from 280 trained end-users (200 CHWs, 80 FHWs) provides a substantial sample for analysis.
• Survey based on a combined theoretical framework (TAM and Louart S et al.) for structured acceptance measurement.
• Includes specific acceptance rates: 61.79% rated the platform 'totally acceptable' and 38.21% 'acceptable'.
• Clear socio-demographic breakdown (85% male, average age 42 ± 9 years) and inter-group statistical comparisons.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Geographic scope is limited to the five pilot health districts of one region in Cote d'Ivoire.

Provenance

Source

figshare

Collection Method

Cross-sectional analytic study using a survey based on a combined Technology Acceptance Model framework.

Time Range

February to March 2025

Freshness

Last updated 2026-05-04 05:31:31; freshness should be verified.

Geography

Poro Health Region, Cote d'Ivoire