Pre-Admission Medication Use in Hospitalized Elderly Patients from Southern Brazil

918 individuals aged 60 and older were assessed for potentially inappropriate medication use upon hospital admission. The dataset contains sociodemographic and clinical variables, including multimorbidity, polypharmacy, frailty, and nutritional status. Author João Alberto Martins Rodrigues collected this data from a public geriatric hospital in Southern Brazil between March 2022 and August 2024.

Use Cases

• Identify sociodemographic factors associated with pre-admission PIM use using logistic regression.
• Analyze the relationship between polypharmacy and the primary outcome of PIM use.
• Investigate how clinical variables like frailty and nutritional status correlate with potentially inappropriate medication use.
• Model the association between multimorbidity and the likelihood of PIM use prior to hospitalization.

Strengths

• Data from 918 patient records provides a substantive sample for analysis.
• Includes multiple clinical assessment dimensions: multimorbidity, polypharmacy, frailty, and nutritional status.
• Data collection spanned over two years, from March 2022 to August 2024.

Limitations

• The 199.8 KB file size suggests a limited number of variables per record.
• Sample is from a single hospital in Southern Brazil, limiting geographic generalizability.
• Data is cross-sectional, capturing a single time point at admission, not longitudinal trends.

Provenance

Source

Cross-sectional study at a public geriatric referral hospital in Southern Brazil.

Collection Method

Data collected via structured patient interviews within 48 hours of admission, supplemented by electronic health records.

Time Range

March 2022 to August 2024.

Freshness

Data collection concluded in August 2024; the record was last updated in April 2026.

Geography

Southern Brazil.