Multimorbidity Patterns in Geriatric Outpatients from a South Indian Hospital, 2022-2024

A cross-sectional observational study of 541 older adults attending a geriatric outpatient clinic in South India from November 2022 to November 2024. The study, conducted by Shilpa Avarebeel, performed Comprehensive Geriatric Assessments to capture socio-demographic, lifestyle, and health variables. It found 66.17% of participants had multimorbidity, with a mean of 2.39 chronic conditions per person.

Use Cases

• Identify multimorbidity clusters based on hierarchical cluster analysis results
• Analyze associations between socio-demographic factors and chronic disease prevalence
• Study gender-specific patterns in polypharmacy and chronic condition burden
• Model the relationship between dietary patterns and multimorbidity outcomes

Strengths

• Includes data from 541 participants with a mean age of 71.56 years
• Reports specific prevalence figures, such as 66.17% multimorbidity and 13.9% polypharmacy
• Uses hierarchical cluster analysis to identify distinct multimorbidity patterns

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Data may reflect geographic bias inherent to a single hospital in South India

Provenance

Source

Shilpa Avarebeel via figshare

Collection Method

Observational cross-sectional study using Comprehensive Geriatric Assessment

Time Range

November 2022 to November 2024

Freshness

Last updated 2026-05-13 04:41:32; freshness should be verified

Geography

A tertiary care hospital in South India