Evidence map›Paper›PMID 26445967›Full record

ArticleApplied health economics and health policy2016

Comparison of Modes of Administration and Alternative Formats for Eliciting Societal Preferences for Burden of Illness.

Donna Rowen, John Brazier, Anju Keetharuth, Aki Tsuchiya, Clara Mukuria

Abstract readComparative Study
In one paragraph

Article in Applied health economics and health policy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. How averse are the UK general public to inequalities in health between socioeconomic groups? A systematic review.The European journal of health economics : HEPAC : health economics in prevention and care · 2020
    Pooled it
  2. Article
  3. Review
  4. Transforming challenges into opportunities: conducting health preference research during the COVID-19 pandemic and beyond.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022
    Article
  5. Article
  6. Article
  7. Mode and Frame Matter: Assessing the Impact of Survey Mode and Sample Frame in Choice Experiments.Medical decision making : an international journal of the Society for Medical Decision Making · 2019
    Article
  8. Article
  9. 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

5 authors.

Donna RowenHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
John BrazierHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK. j.e.brazier@sheffield.ac.uk.
Anju KeetharuthHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Aki TsuchiyaHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.
Clara MukuriaHealth Economics and Decision Science, School of Health and Related Research (ScHARR), University of Sheffield, Regent Court, 30 Regent Street, Sheffield, S1 4DA, UK.

Funding

Department of Health
6 · The paper itself

Abstract

backgroundProposals for value-based assessment, made by the National Institute of Health and Care Excellence (NICE) in the UK, recommended that burden of illness (BOI) should be used to weight QALY gain. This paper explores some of the methodological issues in eliciting societal preferences for BOI.

aimsThis study explores the impact of mode of administration and framing in a survey for eliciting societal preferences for BOI.

methodsA pairwise comparison survey with six arms was conducted online and via face-to-face interviews, involving two different wordings of questions and the inclusion/exclusion of pictures. Respondents were asked which of two patient groups they thought a publically funded health service should treat, where the groups varied by life expectancy without treatment, health-related quality of life (HRQOL) without treatment, survival gain from treatment, and HRQOL gain from treatment. Responses across different modes of administration, wording and use of pictures were compared using chi-squared tests and probit regression analysis controlling for respondent socio-demographic characteristics.

resultsThe sample contained 371 respondents: 69 were interviewed and 302 completed the questionnaire online. There were some differences in socio-demographic characteristics across the online and interview samples. Online respondents were less likely to choose the group with higher BOI and more likely to treat those with a higher QALY gain, but there were no statistically significant differences by wording or the inclusion of pictures for the majority of questions. Regression analysis confirmed these results. Respondents chose to treat the group with larger treatment gain, but there was little support for treating the group with higher BOI. Respondents also preferred to treat the group with treatment gains in life expectancy rather than HRQOL.

conclusionsMode of administration did impact on responses, whereas question wording and pictures did not impact on responses, even after controlling for the socio-demographic characteristics of respondents in the regression analysis.

Indexed as

Cost of IllnessAdolescentAdultAgedConsumer BehaviorData CollectionEnglandFemaleHumansInterviews as TopicLife ExpectancyMaleMiddle AgedQuality-Adjusted Life YearsSurveys and QuestionnairesYoung Adult

Identifiers

PMID26445967
PMCPMC4740557

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.