Evidence map›Paper›PMID 32030205›Full record

ReviewStroke and vascular neurology2019

Understanding cost data collection tools to improve economic evaluations of health interventions.

John M Chapel, Guijing Wang

Abstract readReview
In one paragraph

Review in Stroke and vascular neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
–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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Impact of a CKD Population Health Intervention on Healthcare Utilization and Costs.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. The Economic Impact of Obesity in Turkey: A Micro-Costing Analysis.ClinicoEconomics and outcomes research : CEOR · 2024
    Article
  18. Cost-effectiveness ofGlobal health action · 2023
    Article
  19. Article
  20. Assessing micro- vs macro-costing approaches for treating appendicitis in children with appendicectomy or non-operatively.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2023
    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

2 authors.

John M ChapelDivision for Heart Disease and Stroke Prevention, CDC, Atlanta, Georgia, USA.ORCID 0000-0003-1543-9449
Guijing WangDivision for Heart Disease and Stroke Prevention, CDC, Atlanta, Georgia, USA.ORCID 0000-0002-5511-3788

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Micro-costing data collection tools often used in literature include standardized comprehensive templates, targeted questionnaires, activity logs, on-site administrative databases, and direct observation. These tools are not mutually exclusive and are often used in combination. Each tool has unique merits and limitations, and some may be more applicable than others under different circumstances. Proper application of micro-costing tools can produce quality cost estimates and enhance the usefulness of economic evaluations to inform resource allocation decisions. A common method to derive both fixed and variable costs of an intervention involves collecting data from the bottom up for each resource consumed (micro-costing). We scanned economic evaluation literature published in 2008-2018 and identified micro-costing data collection tools used. We categorized the identified tools and discuss their practical applications in an example study of health interventions, including their potential strengths and weaknesses. Sound economic evaluations of health interventions provide valuable information for justifying resource allocation decisions, planning for implementation, and enhancing the sustainability of the interventions. However, the quality of intervention cost estimates is seldom addressed in the literature. Reliable cost data forms the foundation of economic evaluations, and without reliable estimates, evaluation results, such as cost-effectiveness measures, could be misleading. In this project, we identified data collection tools often used to obtain reliable data for estimating costs of interventions that prevent and manage chronic conditions and considered practical applications to promote their use.

Indexed as

Data AccuracyData CollectionDecision Support TechniquesHealth Care CostsModels, EconomicResearch DesignCost-Benefit AnalysisHealth Services ResearchHumanseconomicsintervention

Identifiers

PMID32030205
PMCPMC6979867

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.