Evidence map›Paper›PMID 11010604›Full record

ArticlePharmacoEconomics2000

Using economic evaluations to make formulary coverage decisions. So much for guidelines.

A H Anis, Y Gagnon

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Pooled it
  3. Review
  4. Conceptual framework for standard economic evaluation of physical activity programs in primary prevention.Prevention science : the official journal of the Society for Prevention Research · 2011
    Article
  5. Article
  6. Pharmacoeconomics: friend or foe?Annals of the rheumatic diseases · 2006
    Review
  7. Article
  8. Review
  9. Examining the quality of health economic analyses submitted to the Pharmaceutical Benefits Board in Sweden. The first year.The European journal of health economics : HEPAC : health economics in prevention and care · 2004
    Article
  10. Priority setting for pharmaceuticals. The use of health economic evidence by reimbursement and clinical guidance committees.The European journal of health economics : HEPAC : health economics in prevention and care · 2004
    Article
  11. Review
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.

A H AnisCenter for Health Evaluation and Outcome Sciences, St Paul's Hospital, Vancouver, British Columbia, Canada. anis@cheos.ubc.ca
Y Gagnon

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is mandatory for drug manufacturers requesting formulary inclusion under the British Columbia (BC) provincial drug plan to submit a pharmacoeconomic analysis according to published guidelines. These submissions are reviewed by the Pharmacoeconomic Initiative (PI) of BC.

objectiveTo assess the compliance of submitted studies with specific criteria outlined in the guidelines, to assess the methodological quality of individual submissions, and to demonstrate the importance of submitting guidelines-compliant pharmacoeconomic analyses. DATA AND

methodsAll submissions between January 1996 and April 1999 assessed by the PI of BC were included. Submissions were reviewed according to a checklist to establish compliance with respect to choice of comparator drug, study perspective, sensitivity analysis, analytical horizon and discounting. Submissions were examined for association between analytical technique and author, and between source of submission and compliance. Association between compliance and recommendation for approval was also examined.

results95 applications were reviewed. Seven submitted no analyses. There were 25 cost-comparison/consequence, 14 cost-effectiveness, 11 cost-minimisation, 9 cost-utility/benefit and 29 budget-impact analyses. 65 of these 88 submissions failed to comply with guidelines. Of these, 45% used an inappropriate comparator drug, 61% lacked a sensitivity analysis, 73% used a third-party payer and excluded a societal perspective, 66% did not provide a long term evaluation and 25% did not specify any time horizon. 80% of noncompliant studies were cost-comparison/consequence or budget-impact analyses (p < 0.001, Fisher's Exact). Of 25 cost-comparison/consequence and 29 budget-impact analyses, 19 (76%) and 24 (83%), respectively, were industry-conducted, whereas cost-effectiveness (11 of 14) and cost-utility/benefit (6 of 9) analyses were mostly subcontracted to private consultants or academics (p < 0.001, Fisher's Exact). 74% of all submissions (compliant and noncompliant) were not recommended by the PI for listing as a provincial drug plan benefit, 16% received approval for restricted benefit and 9% were recommended as full benefit. 80% of the noncompliant submissions were not recommended (p = 0.06, Fisher's Exact test). Moreover, a strong association between type of analysis and type of recommendation was found (p = 0.03, Fisher's Exact test). Cost-comparison/consequence and budget-impact analyses were less likely to be recommended. IMPLICATIONS OF

findingsOur findings show poor compliance with guidelines, especially among industry-conducted studies. Possible explanations are lack of expertise in pharmacoeconomics and/or scepticism regarding the importance of guidelines and submission quality in decision making. As corroborated by the strong associations between type of recommendation and compliance, and between type of recommendation and type of analysis, these 2 characteristics have a significant impact on decision making.

Indexed as

Economics, PharmaceuticalFormularies as TopicBritish ColumbiaGuidelines as TopicLegislation, Drug

Identifiers

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Registered trials

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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.