Evidence map›Paper›PMID 33107005›Full record

ArticleJournal of general internal medicine2020

Rethinking How We Measure Costs in Implementation Research.

Todd H Wagner

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  10. Site-level evidence-based practice accreditation: A qualitative exploration using institutional theory.Human service organizations, management, leadership & governance · 2023
    Article
  11. The economics of adaptations to evidence-based practices.Implementation science communications · 2022
    Article
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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

1 author.

Todd H WagnerVA Health Economics Resource Center, 795 Willow Rd., 152-MPD, Menlo Park, CA, 94025, USA. twagner@stanford.edu.ORCID 0000-0001-7625-3504

Funding

VA RCS-17-154
6 · The paper itself

Abstract

backgroundHospitals and other health care delivery organizations are sometimes resistant to implementing evidence-based programs, citing unknown budgetary implications.

objectiveIn this paper, I discuss challenges when estimating health care costs in implementation research.

designA case study with intensive care units highlights how including fixed costs can cloud a short-term analysis.

participantsNone.

interventionsNone. MAIN MEASURES: Health care costs, charges and payments. KEY

resultsCost data should accurately reflect the opportunity costs for the organization(s) providing care. Opportunity costs are defined as the benefits foregone because the resources were not used in the next best alternative. Because there is no database of opportunity costs, cost studies rely on accounting data, charges, or payments as proxies. Unfortunately, these proxies may not reflect the organization's opportunity costs, especially if the goal is to understand the budgetary impact in the next few years.

conclusionsImplementation researchers should exclude costs that are fixed in the time period of observation because these assets (e.g., space) cannot be used in the next best alternative. In addition, it is common to use costs from accounting databases where we implicitly assume health care providers are uniformly efficient. If providers are not operating efficiently, especially if there is variation in their efficiency, then this can create further problems. Implementation scientists should be judicious in their use of cost estimates from accounting data, otherwise research results can misguide decision makers.

Indexed as

BudgetsHealth Care CostsCost-Benefit AnalysisDelivery of Health CareHumansbudgetscost-benefit analysiscosts and cost analysiseconomic models

Identifiers

PMID33107005
PMCPMC7652969

What OpenQuestion holds

Textmetadata
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.