Healthcare Provider Technology Acceptance Survey in Palestinian Hospitals

December 2023 to June 2024 survey data from 220 healthcare professionals in Palestinian hospitals. Ahmad Dweikat collected responses to validate a combined Technology Acceptance Model and Technology-Organization-Environment framework for electronic health information systems. The model explains up to 74% of variance in behavioral intention.

Use Cases

• Analyze relationships between TOE constructs like system_quality, competitive_pressure, and TAM beliefs perceived_usefulness and perceived_ease_of_use.
• Validate survey instrument reliability using provided metrics like Cronbach’s α (0.72-0.91) and Average Variance Extracted (0.64-0.91).
• Model behavioral_intention as a target variable predicted by perceived_usefulness (β=0.39) and perceived_ease_of_use (β=0.43) coefficients.
• Test the non-significant effect of the complexity construct on acceptance beliefs within the structural equation model.

Strengths

• Survey of 220 healthcare professionals provides a sample for model validation.
• Model demonstrates strong explanatory power, explaining 74% of variance in behavioral intention.
• Instrument shows validated psychometric properties with indicator loadings ranging from 0.76 to 0.96.

Limitations

• Small sample size of 220 respondents limits generalizability.
• Geographic scope is restricted to Palestinian hospitals, indicating potential regional bias.
• Dataset is very small at 9.5 KB, containing only the refined measurement model items, not raw survey responses.

Provenance

Source

Ahmad Dweikat via figshare.

Collection Method

Cross-sectional survey administered to healthcare professionals.

Time Range

December 2023 to June 2024.

Freshness

Data collected through June 2024, with platform record updated in April 2026.

Geography

Palestinian hospitals.