Long-term Insomnia Patient Outcomes from Mobile CBT-I Program, 2017-2024

Clinical data for 1,022 insomnia patients from the Sleep Center of the First People’s Hospital of Yunnan Province, tracked over a four-year follow-up period from January 2017 to January 2024. The dataset includes standardized assessments like PSQI, PHQ-9, GAD-7, PHQ-15, ESS, and ISI scores collected via the 'Good Sleep 365' mobile app at baseline and multiple follow-ups. It was authored by Jiao Huang and shared under a CC-BY-4.0 license.

Use Cases

• Model symptom trajectories over time based on PSQI, GAD-7, PHQ-9, and PHQ-15 scores.
• Identify baseline predictors of treatment outcomes using features like age and initial depression/anxiety scores.
• Analyze the prognostic value of depression (PHQ-9) versus anxiety (GAD-7) for long-term insomnia treatment response.

Strengths

• Includes 1,022 patient records, providing a substantial clinical sample.
• Longitudinal data covers a four-year follow-up period from 2017 to 2024.
• Uses multiple standardized clinical assessment scales (PSQI, PHQ-9, GAD-7, PHQ-15, ESS, ISI).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the specific analysis table is unknown, which may limit suitability assessment.
• Data is sourced from a single hospital in Yunnan Province, which may reflect geographic bias.

Provenance

Source

Sleep Center of the First People’s Hospital of Yunnan Province.

Collection Method

Clinical data obtained from patients using the 'Good Sleep 365' mobile app for assessments.

Time Range

January 2017 to January 2024.

Freshness

Last updated 2026-03-18 06:42:30; freshness should be verified.

Geography

Yunnan Province, China.