Evidence map›Paper›PMID 22974537›Full record

ArticlePharmacoEconomics2012

Losing sight of the wood for the trees: some issues in describing and valuing health, and another possible approach.

Paul Dolan, Henry Lee, Tessa Peasgood

Abstract read
PubMed Publisher
In one paragraph

Article in PharmacoEconomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
12.2field-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

11 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Well-Being Adjusted Health Expectancy: A New Summary Measure of Population Health.European journal of population = Revue europeenne de demographie · 2022
    Article
  3. Happy with Your Capabilities? Valuing ICECAP-O and ICECAP-A States Based on Experienced Utility Using Subjective Well-Being Data.Medical decision making : an international journal of the Society for Medical Decision Making · 2020
    Article
  4. The impact of depression on health-related quality of life and wellbeing: identifying important dimensions and assessing their inclusion in multi-attribute utility instruments.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2018
    Article
  5. Article
  6. Article
  7. Improving Cross-Sector Comparisons: Going Beyond the Health-Related QALY.Applied health economics and health policy · 2015
    Article
  8. Modelling utility weights for the Assessment of Quality of Life (AQoL)-8D.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2014
    Article
  9. Article
  10. A framework for understanding quality of life in individuals without capacity.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2014
    Article
  11. 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

3 authors at 3 institutions in 1 country.

Paul DolanLondon School of Economics, London, UK.
Henry Lee
Tessa Peasgood
Imperial College London · GBLondon School of Economics and Political Science · GBUniversity of Sheffield · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectiveThe ability to value health in a way that allows the comparison of different conditions across a range of population groups is central to determining priorities in healthcare. This paper considers some of the concerns with the 'received wisdom' in valuing health--to describe it using a generic descriptive system and to value it using the hypothetical preferences of the general public.

methodsThe literature on the dimensions of health that matter most to people was reviewed and this paper discusses the use of global measures of subjective well-being (SWB) as a possible alternative. New analysis of the British Household Panel Survey was conducted to explore the relationship between life satisfaction and the preference-based quality-of-life measure the SF-6D. The impact on life satisfaction of each level for each dimension of the SF-6D is estimated through a linear model predicting life satisfaction with the SF-6D levels as determinants.

resultsValuing changes in the health of the general population via changes in life satisfaction would lead to different weights being attached to the different dimensions of health, as compared to a well used utility score in which weights are taken from general population preferences. If preferences elicited via standard gamble exercises are based only on a prediction of what it would be like to live in a particular health state, then these results suggest that reductions in physical functioning matter less than people imagine and reductions in mental health impact upon our lives more than preferences would suggest.

conclusionsUsing data from the British Household Panel Survey, it is shown that a focus on SWB would place greater emphasis on mental health conditions. The implications for health policy are considered.

Indexed as

Health StatusQuality-Adjusted Life YearsQuality of LifeFemaleHealth PolicyHealth Status IndicatorsHumansLinear ModelsMalePersonal Satisfaction

Identifiers

PMID22974537
OpenAlexW2014604766

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.