Evidence map›Paper›PMID 15960769›Full record

ReviewThe Milbank quarterly2005

One of these things is not like the others: the idea of precedence in health technology assessment and coverage decisions.

Mita Giacomini

Abstract readReview
In one paragraph

Review in The Milbank quarterly, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Towards an Explanation of the Social Value of Health Systems: An Interpretive Synthesis.International journal of health policy and management · 2021
    Article
  3. Article
  4. Article
  5. Analysing coverage decision-making: opening Pandora's box?The European journal of health economics : HEPAC : health economics in prevention and care · 2014
    Article
  6. Article
  7. The force of dissimilar analogies in bioethics.Theoretical medicine and bioethics · 2011
    Article
  8. Article
  9. Article
  10. Ethical analysis to improve decision-making on health technologies.Bulletin of the World Health Organization · 2008
    Article
  11. Article
  12. 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

1 author.

Mita GiacominiCentre for Health Economics and Policy Analysis, Department of Clinical Epidemiology and Biostatistics, McMaster University, 1200 Main Street West, HSC-3H1C, Hamilton, Ontario L8N 3Z5, Canada. giacomin@mcmaster.ca

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health plans often deliberate covering technologies with challenging purposes, effects, or costs. They must integrate quantitative evidence (e.g., how well a technology works) with qualitative, normative assessments (e.g., whether it works well enough for a worthwhile purpose). Arguments from analogy and precedent help integrate these criteria and establish standards for their policy application. Examples of arguments are described for three technologies (ICSI, genetic tests, and Viagra). Drawing lessons from law, ethics, philosophy, and the social sciences, a framework is developed for case-based evaluation of new technologies. The decision-making cycle includes (1) taking stock of past decisions and formulating precedents, (2) deciding new cases, and (3) assimilating decisions into the case history and evaluation framework. Each stage requires distinctive decision maker roles, information, and methods.

Indexed as

Decision MakingHealth Care RationingSocial ValuesTechnology Assessment, BiomedicalCanadaGenetic TestingHumansInsurance, HealthMaleSperm Injections, IntracytoplasmicHealth Care and Public Health

Identifiers

PMID15960769
PMCPMC2690141

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.