PHQ-9 Factor Structure in Colombian Long-Term Severe COVID-19 Survivors

177 individuals previously hospitalized with severe COVID-19 were assessed using the Patient Health Questionnaire-9 (PHQ-9), with follow-up extending up to 20 months post-discharge. The dataset, authored by Juan Carlos Rivas and last updated in April 2026, contains results from exploratory and confirmatory factor analyses evaluating the instrument's psychometric properties in this population.

Use Cases

• Validate the unidimensional factor structure of the PHQ-9 based on the reported factor analysis results.
• Investigate the psychometric performance of the fatigue item in relation to long COVID symptoms.
• Compare the internal consistency metrics (Cronbach's alpha and omega) between unifactorial and two-factor models.
• Assess the applicability of depression screening tools in specific post-hospitalization cohorts.

Strengths

• Includes data from 177 participants, providing a specific cohort size.
• Reports specific psychometric statistics: unifactorial solution internal consistency (α = 0.81, ω = 0.86).
• Follow-up period is defined, extending up to 20 months post-discharge.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is very small at 29.8 KB, indicating limited scope.
• Data may reflect geographic bias inherent to the single Colombian cohort.

Provenance

Source

figshare

Collection Method

The PHQ-9 was administered to a cohort of long-term survivors of severe COVID-19, with analyses including exploratory and confirmatory factor analysis.

Time Range

Follow-up extended up to 20 months post-discharge from hospitalization for severe COVID-19.

Freshness

Last updated 2026-04-26 13:40:14; freshness should be verified.

Geography

Colombia