Endline Unannounced Visit: Healthcare Provider Attendance Assessments

Unannounced visits at 9am and 3pm measured healthcare provider absenteeism by comparing actual attendance against scheduled rosters. The dataset was authored by Kat Tumlinson and harvested from the ODUM Dataverse, with a last recorded update in April 2026.

Use Cases

• Modeling provider absenteeism patterns based on scheduled versus actual attendance.
• Evaluating the effectiveness of unannounced visit protocols for monitoring workforce presence.
• Analyzing temporal trends in attendance based on morning and afternoon assessment times.

Strengths

• Data collection method is explicitly described as unannounced visits at two specific times (9am and 3pm).
• Author and originating platform (ODUM Dataverse) are clearly identified.
• A specific update timestamp (2026-04-27) is provided for metadata freshness.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file format are unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

ODUM Harvested Dataverse

Collection Method

Brief attendance assessments during unannounced visits.

Time Range

The data collection likely occurred within a specific project timeframe, but the exact range is not stated.

Freshness

Last updated 2026-04-27 03:10:40; freshness should be verified.

Geography

Geographic coverage is not specified in the provided description.