Evidence map›Paper›PMID 10172916›Full record

ReviewPharmacoEconomics1997

Quality-of-life measures as providers of information on value-for-money of health interventions. Comparison and recommendations for practice.

M E Hyland

Abstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. Clinical and economic impact of epoetin in adjuvant-chemotherapy for breast cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2006
    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.

M E HylandDepartment of Psychology, University of Plymouth, England.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three different approaches to measuring quality of life have been developed. Global scales (e.g. time trade-off, visual analogue), multi-attribute utility scales and multidimensional scales (which may be generic or disease-specific). Each of these approaches to measurement provides different kinds of information about quality of life and each can be used to provide information to healthcare purchasers concerning the relative value-for-money of health interventions. The value-for-money of health interventions, in terms of quality of life, can be demonstrated in 2 ways: a formula-driven approach based on cost-utility analysis, which uses scales generating the unit of a quality-adjusted life-year (i.e. global and multi-attribute utility); and a non-formula-driven approach, which uses scales generating multidimensional profiles of quality of life (i.e. multi-attribute utility and multidimensional). Analysis shows that no single approach is sufficient, and that healthcare purchasers should use a variety of types of information in their decision-making, including both cost-utility and informal approaches. Healthcare resource allocation is inevitably a value-dependent activity.

Indexed as

Quality of LifeDelivery of Health CareHumans

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.