MEDSCAN App Usability Survey Data from 38 Community Health Workers in Kenya

Focus group discussions with 38 community health workers in Kisumu County, Kenya, evaluating six features of the MEDSCAN mobile app. The dataset contains de-identified System Usability Scale survey responses, participant socio-demographic data, and Python analysis code. It was authored by Thomas Scherr and last updated on 2026-04-17.

Use Cases

• Calculate median System Usability Scale scores for mobile app features based on survey responses
• Analyze correlations between SUS scores and participant age or experience based on demographic data
• Prioritize app design attributes based on the ranked-choice exercise data
• Reproduce statistical analyses and figures from the accompanying manuscript using the provided Python script

Strengths

• Includes data from 38 participants across three distinct community health roles (CHV, CHA, Lab)
• Provides a reproducible Python analysis script that generates all statistics and figures from the manuscript
• Data is de-identified to protect participant privacy, with sensitive fields like village and ethnicity removed

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The dataset is small (580.0 KB), indicating a limited scope focused on a specific evaluation study

Provenance

Source

figshare

Collection Method

Collected through focus group discussions with community health workers using the System Usability Scale and a ranked-choice exercise.

Freshness

Last updated 2026-04-17 04:54:59; freshness should be verified

Geography

Kisumu County, Kenya