Evidence map›Paper›PMID 29105894›Full record

ArticleHealth economics2018

Estimating the opportunity costs of bed-days.

Frank G Sandmann, Julie V Robotham, Sarah R Deeny, W John Edmunds, Mark Jit

Open access · hybridAbstract read
In one paragraph

Article in Health economics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
11.9field-weighted citation impact, top 2% of its field
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

24 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Observational
  6. On spillovers in economic evaluations: definition, mapping review and research agenda.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. What are economic costs and when should they be used in health economic studies?Cost effectiveness and resource allocation : C/E · 2023
    Review
  13. Article
  14. Article
  15. Costs of two vancomycin-resistant enterococci outbreaks in an academic hospital.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. How to Prevent Vaccines Falling Victim to Their Own Success: Intertemporal Dependency of Incidence Levels on Indirect Effects in Economic Reevaluations.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2021
    Article
  20. Article
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

5 authors at 2 institutions in 1 country.

Frank G SandmannLondon School of Hygiene and Tropical Medicine, Department of Infectious Disease Epidemiology, London, UK.ORCID 0000-0001-5641-1931
Julie V RobothamPublic Health England, Modelling and Economics Unit, London, UK.
Sarah R DeenyPublic Health England, Modelling and Economics Unit, London, UK.
W John EdmundsLondon School of Hygiene and Tropical Medicine, Department of Infectious Disease Epidemiology, London, UK.
Mark JitLondon School of Hygiene and Tropical Medicine, Department of Infectious Disease Epidemiology, London, UK.
University of London · GBPublic Health England · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Opportunity costs of bed-days are fundamental to understanding the value of healthcare systems. They greatly influence burden of disease estimations and economic evaluations involving stays in healthcare facilities. However, different estimation techniques employ assumptions that differ crucially in whether to consider the value of the second-best alternative use forgone, of any available alternative use, or the value of the actually chosen alternative. Informed by economic theory, this paper provides a taxonomic framework of methodologies for estimating the opportunity costs of resources. This taxonomy is then applied to bed-days by classifying existing approaches accordingly. We highlight differences in valuation between approaches and the perspective adopted, and we use our framework to appraise the assumptions and biases underlying the standard approaches that have been widely adopted mostly unquestioned in the past, such as the conventional use of reference costs and administrative accounting data. Drawing on these findings, we present a novel approach for estimating the opportunity costs of bed-days in terms of health forgone for the second-best patient, but expressed monetarily. This alternative approach effectively re-connects to the concept of choice and explicitly considers net benefits. It is broadly applicable across settings and for other resources besides bed-days.

Indexed as

Models, EconomicBed OccupancyCosts and Cost AnalysisHealth Care RationingHumansLength of Stayeconomic evaluationhealthcare costslength of staynet benefitopportunity costs

Identifiers

PMID29105894
PMCPMC5900745
OpenAlexW2767709113

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.