To test the feasibility of identifying and quantifying resource use for a Hospital-at-Home (HaH) model in Danish municipalities, we used a micro-costing approach. Additionally, we aimed to generate a transparent activity and time dataset. This dataset will support subsequent tariff development with time-driven activity-based costing and feed into the economic evaluation of an ongoing randomised controlled trial (RCT).

Prospective pilot feasibility study.

Three municipalities in the Central Denmark Region in collaboration with emergency department specialists and general practitioners.

56 elderly acute patients treated in HaH during the pilot phase.

Feasibility of micro-costing data collection (completeness, consistency and acceptability to staff) and descriptive resource-use quantities by activity and provider group. No price assignment or cost estimates are reported.

Patients received a mean of 3.8 HaH treatment days with 7.8 acute team visits and 3.9 municipal-staff visits per treatment course. The acute team spent a mean of 742 min per patient across treatment activities, communication, documentation and transport, while municipal care staff recorded a mean of 213 min. Intravenous medicine administration and vital sign assessments were the most frequent activities. Data completeness and consistency improved over time through co-design and feedback.

Detailed resource-use measurement using provider logs was feasible in a municipal HaH model and produced an activity and time dataset suitable for tariff development. Findings are context-specific and not generalisable due to the small sample. The micro-costing log refined through the pilot will be applied in an RCT, where time and activity data will be used to construct a tariff using time-driven activity-based costing.