Evidence map›Paper›PMID 21604822›Full record

ArticlePharmacoEconomics2011

Cost-of-illness studies: a guide to critical evaluation.

Allison Larg, John R Moss

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 211 papers, 51 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
211citing papers in PubMed, 51 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

211 citing papers in PubMed, 51 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Pooled it
  13. Pooled it
  14. The economic burden of Chagas disease: A systematic review.PLoS neglected tropical diseases · 2023
    Pooled it
  15. A consensus-based checklist for the critical appraisal of cost-of-illness (COI) studies.International journal of technology assessment in health care · 2023
    Guideline
  16. Pooled it
  17. Pooled it
  18. Pooled it
  19. Pooled it
  20. The economic burden of amyotrophic lateral sclerosis: a systematic review.The European journal of health economics : HEPAC : health economics in prevention and care · 2021
    Pooled it

151 more citing papers are in PubMed but not listed here.

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.

Allison LargDiscipline of Public Health, School of Population Health and Clinical Practice, The University of Adelaide, South Australia. allison.larg@adelaide.edu.au
John R Moss

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cost-of-illness (COI) studies aim to assess the economic burden of health problems on the population overall, and they are conducted for an ever widening range of health conditions and geographical settings. While they attract much interest from public health advocates and healthcare policy makers, inconsistencies in the way in which they are conducted and a lack of transparency in reporting have made interpretation difficult, and have ostensibly limited their usefulness. Yet there is surprisingly little in the literature to assist the non-expert in critically evaluating these studies. This article aims to provide non-expert readers with a straightforward guide to understanding and evaluating traditional COI studies. The intention is to equip a general audience with an understanding of the most important issues that influence the validity of a COI study, and the ability to recognize the most common limitations in such work.

Indexed as

Cost of IllnessHealth Care CostsResearch DesignCosts and Cost AnalysisEfficiencyHealth ResourcesHumans

Identifiers

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.