Table 1_Quasi-experimental evaluation of a digital occupational health management system o

Feng Qiao authored a dataset from a quasi-experimental study evaluating a Digital Occupational Health Management System (OHMS) at Taizhou Fourth People's Hospital, Jiangsu, China. The study included 300 healthcare workers in an intervention group and 300 matched controls, with data collected over a 12-month period ending in 2026. Outcomes measured include presenteeism, psychological wellbeing, emotional exhaustion, sick leave days, overtime hours, absenteeism, and work efficiency.

Use Cases

• Evaluating the impact of digital health interventions on presenteeism based on Stanford Presenteeism Scale-6 scores
• Analyzing the relationship between workload, organizational support, and work-related outcomes based on regression analysis results
• Modeling pathways from workload to presenteeism through wellbeing based on structural equation modeling results
• Comparing pre-post changes in sick leave and overtime hours between intervention and control groups

Strengths

• Includes a matched control group of 300 participants, enabling comparative analysis
• Reports a high system registration rate of 95.3% and an average monthly active usage rate of 82.4%
• Employs a quasi-experimental design with difference-in-differences analysis as the primary analytical approach

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data is from a single hospital in China, which may limit generalizability

Provenance

Source

Feng Qiao via figshare

Collection Method

Quasi-experimental pre-post study with a matched contemporaneous control group

Time Range

Study conducted over 12 months, with primary assessment at 6 months

Freshness

Last updated 2026-06-04 05:42:35; freshness should be verified

Geography

Taizhou Fourth People's Hospital, Jiangsu, China