Evidence-Based Discharge Plan Trial for Type 2 Diabetes Patients, 2025

120 hospitalized patients with type 2 diabetes were randomized into intervention and control groups from April to October 2025. The study, authored by Huang Chen and shared on figshare, compares outcomes like discharge readiness, glycemic control, and readmission rates between groups receiving a structured discharge plan versus routine care. Results show the intervention group had higher discharge readiness scores and a lower 3-month readmission rate of 5.00% compared to 16.67% in the control group.

Use Cases

• Evaluating the cost-effectiveness of discharge planning interventions based on reported cost and outcome metrics.
• Predicting patient readmission risk based on discharge readiness and self-management ability scores.
• Modeling glycemic control outcomes using intervention data from admission to 3-month follow-up.
• Benchmarking self-management ability improvements using SDSCA scores reported at multiple time points.
• Analyzing the relationship between structured discharge processes and direct medical cost savings.

Strengths

• Includes results from a randomized controlled trial with 120 patients, providing a basis for statistical comparison.
• Reports specific outcome metrics including RHDS scores, SDSCA scores, glycemic control rates, and direct cost savings of 633.9 yuan per patient.

Limitations

• The dataset's underlying structure and column definitions are unknown, requiring manual inspection after download.
• The row count is unknown, which may limit suitability assessment for large-scale modeling.
• Data is contained within a DOCX file (16.8 KB), suggesting a small, likely summary-level dataset rather than raw patient records.

Provenance

Source

Huang Chen via figshare

Collection Method

Randomized controlled trial conducted in a hospital endocrinology department.

Time Range

Patient data collected from April 2025 to October 2025, with follow-up to 3 months post-discharge.

Freshness

Last updated 2026-05-15 05:41:04