Hemorrhagic Stroke Comorbidity Management Pre-Post Study

Featuring data from a prospective cohort study comparing 314 historical patients (2016-2019) with 296 intervention patients (2023-2024) at a single tertiary care center. It was used to evaluate the impact of an electronic health record alert on ordering LDL-C and HbA1c tests for patients with hemorrhagic stroke.

Use Cases

• Analyze the cumulative incidence of LDL-C evaluation before and after the intervention using Gray's test.
• Assess the effectiveness of the EHR alert on HbA1c test ordering via a multivariable Fine and Gray model.
• Evaluate changes in treatment intensification for suboptimal LDL-C levels between the two periods using χ2 tests.
• Compare patient cohorts based on primary intracerebral hemorrhage diagnosis and relevant confounders.

Strengths

• Includes data from 610 total patient records across two distinct time cohorts.
• Study design compares a historical control group (2016-2019) with a prospective intervention group (2023-2024).
• Analysis methods are specified, including Gray's test and multivariable Fine and Gray models.

Limitations

• Data is from a single tertiary care center, limiting geographic and institutional generalizability.
• The sample size of 610 patients may be insufficient for detecting small effect sizes in subgroup analyses.
• Specific column definitions and raw data structure are not provided in the input.

Provenance

Source

Harvard Dataverse, authored by Christopher Anderson.

Collection Method

Prospective cohort study comparing a historical control group with an intervention group exposed to an EHR-based best practice alert.

Time Range

Historical cohort: 2016-2019; Intervention cohort: 2023-2024.

Freshness

Data was last updated in January 2026, with the prospective cohort covering 2023-2024.

Geography

A single tertiary care center (location unspecified).