Factors Influencing Patient Delay in Older ACS Patients: A 153-Patient Study

A collection of cross-sectional data from 153 older adults diagnosed with acute coronary syndrome (ACS) at a hospital in Zhejiang Province, China, collected from January to June 2023. It was used to identify factors influencing patient delay in seeking medical care, with a median delay of 100 minutes.

Use Cases

• Perform logistic regression to identify factors like female sex, advanced age (≥75 years), and diagnosis of unstable angina associated with prolonged patient delay.
• Analyze the relationship between a history of diabetes and the odds ratio for patient delay using the provided statistical measures.
• Model the protective effect of attributing symptoms to cardiac disease or a history of heart disease on reducing the likelihood of delay.
• Investigate the association between consultation-seeking behavior following symptom onset and reduced odds of patient delay.

Strengths

• Data from 153 patient records provides a basis for statistical analysis.
• Study design is clearly defined as a cross-sectional analysis at a tertiary hospital.
• Results include specific odds ratios and confidence intervals for key factors like female sex (OR=2.762) and advanced age (OR=4.244).

Limitations

• Small sample size of 153 patients limits generalizability and statistical power for some subgroups.
• Data is from a single hospital in one Chinese province, introducing geographic bias.
• The underlying tabular data is not directly accessible, being embedded in a DOC file summary.

Provenance

Source

Manjun Wang, via figshare.

Collection Method

Cross-sectional study of patients diagnosed with ACS who survived to hospital admission.

Time Range

January 2023 to June 2023.

Freshness

Data covers patient admissions from January 2023 to June 2023; metadata was last updated in March 2026.

Geography

A tertiary hospital in Zhejiang Province, China.