Evidence map›Paper›PMID 25595871›Full record

ReviewPharmacoEconomics2015

An educational review of the statistical issues in analysing utility data for cost-utility analysis.

Rachael Maree Hunter, Gianluca Baio, Thomas Butt, Stephen Morris, Jeff Round, Nick Freemantle

Abstract readReview
PubMed Publisher
In one paragraph

Review in PharmacoEconomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing 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

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

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  18. Evaluating the cost-effectiveness of Everyday Life Rehabilitation (ELR) for individuals with serious mental illness in supported accommodation.The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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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

6 authors.

Rachael Maree HunterResearch Department of Primary Care and Population Health, University College London Medical School (UCL), Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK, r.hunter@ucl.ac.uk.
Gianluca Baio
Thomas Butt
Stephen Morris
Jeff Round
Nick Freemantle

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of cost-utility analysis is to support decision making in healthcare by providing a standardised mechanism for comparing resource use and health outcomes across programmes of work. The focus of this paper is the denominator of the cost-utility analysis, specifically the methodology and statistical challenges associated with calculating QALYs from patient-level data collected as part of a trial. We provide a brief description of the most common questionnaire used to calculate patient level utility scores, the EQ-5D, followed by a discussion of other ways to calculate patient level utility scores alongside a trial including other generic measures of health-related quality of life and condition- and population-specific questionnaires. Detail is provided on how to calculate the mean QALYs per patient, including discounting, adjusting for baseline differences in utility scores and a discussion of the implications of different methods for handling missing data. The methods are demonstrated using data from a trial. As the methods chosen can systematically change the results of the analysis, it is important that standardised methods such as patient-level analysis are adhered to as best as possible. Regardless, researchers need to ensure that they are sufficiently transparent about the methods they use so as to provide the best possible information to aid in healthcare decision making.

Indexed as

Cost-Benefit AnalysisHealth Care CostsHealth Services ResearchQuality-Adjusted Life YearsDecision Making

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.