Evidence map›Paper›PMID 17002476›Full record

ReviewPharmacoEconomics2006

The generalisability of pharmacoeconomic studies: issues and challenges ahead.

James M Mason, Anne R Mason

Abstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
12.1field-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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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 at 2 institutions in 1 country.

James M MasonSchool for Health, University of Durham, Stockton-on-Tees, UK. j.m.mason@durham.ac.uk
Anne R Mason
Durham University · GBUniversity of York · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing from a previous review, this article revisits the generalisability theme to summarise recent advances in methodology and provide an update of challenges faced by producers and users of pharmacoeconomic data. Our original evaluative criteria encompassed technical issues, applicability and transferability. The technical elements of best practice are comparatively uncontroversial: choosing relevant alternatives; transparent reporting of methods and findings; accessing and applying the best-quality evidence; using best methods to synthesise data; and using deterministic sensitivity analysis to explore potential systematic bias whilst employing probabilistic sensitivity analysis to explore the influence of random error at the whole model level. The applicability of economic findings within their original policy context (e.g. national analyses based on generalisable within-country data) can be determined, provided that best practice guidelines for economic modelling are adhered to. The transferability of economic findings (from one policy setting to another, e.g. country, region, clinical setting or patient population) requires careful exploration of changes in resource implications, unit prices and outcomes, a process facilitated again by transparent reporting of methods, adjustment for baseline risk and potentially by recent statistical developments intended to deal with hierarchically structured data. Although there is considerable consensus in the published literature about these key issues, limitations remain for economic analysis as implemented because of its opaqueness of method, failure to reflect the opportunity cost of decisions and lack of societal mandate. If the primary purpose of health economic evaluation is to help society to obtain the best value from limited resources, then, at a time when most technologically advanced societies need to engage with the realities of limited healthcare funding, technocratic solutions alone appear insufficient. Making health economic findings accessible to patients, clinicians and society, in the form of relevant narratives, will help this essential debate and expose assumptions underpinning economic analysis to broader critical inspection.

Indexed as

Economics, PharmaceuticalHumansInsurance, Health, ReimbursementModels, Economic

Identifiers

PMID17002476
OpenAlexW3006605147

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.