Evidence map›Paper›PMID 41448707›Full record

ArticleBMJ open2025

Feasibility of micro-costing for hospital-at-home in Danish municipalities: a prospective pilot study.

Nasrin Tayyari, Iben Duvald, Malene Galle Madsen, Sigrid Engelbrecht Sjøl, Camilla Palmhøj Nielsen, Bettina Wulff Risør

Abstract read
In one paragraph

Article in BMJ open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nasrin TayyariPublic Health & Quality Improvement Aarhus N, DK, DEFACTUM, Aarhus, Denmark nastay@rm.dk.ORCID http://orcid.org/0000-0002-6717-5003
Iben DuvaldInterdisciplinary Centre for Organizational Architecture, Department of Management, Aarhus University School of Business and Social Sciences, Aarhus, Denmark.
Malene Galle MadsenNational Centre for Register-based Research, Aarhus University, Aarhus, Denmark.
Sigrid Engelbrecht SjølPublic Health & Quality Improvement Aarhus N, DK, DEFACTUM, Aarhus, Denmark.
Camilla Palmhøj NielsenDEFACTUM - Public Health & Quality Improvement, Aarhus N, Denmark.
Bettina Wulff RisørPublic Health & Quality Improvement Aarhus N, DK, DEFACTUM, Aarhus, Denmark.ORCID http://orcid.org/0000-0003-3701-074X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo 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).

designProspective pilot feasibility study.

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

participants56 elderly acute patients treated in HaH during the pilot phase. OUTCOME MEASURES: 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.

resultsPatients 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.

conclusionsDetailed 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.

Indexed as

Home Care Services, Hospital-BasedAgedAged, 80 and overCosts and Cost AnalysisDenmarkFeasibility StudiesFemaleHumansMalePilot ProjectsProspective StudiesHealth Care CostsHEALTH ECONOMICSPatients

Identifiers

PMID41448707
PMCPMC12742097

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.