ArticlePharmacoEconomics2008
The use of QALY weights for QALY calculations: a review of industry submissions requesting listing on the Australian Pharmaceutical Benefits Scheme 2002-4.
Article in PharmacoEconomics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled 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.
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.
Who cites it
23 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Discrete choice experiments to generate utility values for multi-attribute utility instruments: a systematic review of methods.The European journal of health economics : HEPAC : health economics in prevention and care · 2020Pooled it
- Valuing health-related quality of life in heart failure: a systematic review of methods to derive quality-adjusted life years (QALYs) in trial-based cost-utility analyses.Heart failure reviews · 2019Pooled it
- A systematic review of stated preference studies reporting public preferences for healthcare priority setting.The patient · 2014Pooled it
- A review of quality of life instruments used in liver transplantation.Journal of hepatology · 2009Pooled it
- Mapping the FACT-G cancer-specific quality of life instrument to the EQ-5D and SF-6D.Health and quality of life outcomes · 2013Trial
- An Australian Value Set for the EQ-5D-Y-3L.Health and quality of life outcomes · 2025Article
- EQ-5D Brazilian population norms.Health and quality of life outcomes · 2021Article
- Discrepancies between proxy estimates and patient reported, health related, quality of life: minding the gap between patient and clinician perceptions in heart failure.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2021Article
- A comparison of health state utility values associated with oral potentially malignant disorders and oral cancer in Sri Lanka assessed using the EQ-5D-3 L and the EORTC-8D.Health and quality of life outcomes · 2016Article
- Comparing the mapping between EQ-5D-5L, EQ-5D-3L and the EORTC-QLQ-C30 in non-small cell lung cancer patients.Health and quality of life outcomes · 2016Article
- QLU-C10D: a health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2016Article
- The Price of Prevention: Cost Effectiveness of Biomedical HIV Prevention Strategies in South Africa.Clinical research in HIV/AIDS · 2016Article
- Valuing EQ-5D health states for Sri Lanka.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015Article
- A non-linear beta-binomial regression model for mapping EORTC QLQ- C30 to the EQ-5D-3L in lung cancer patients: a comparison with existing approaches.Health and quality of life outcomes · 2014Article
- A comparison of EQ-5D-3L population norms in Queensland, Australia, estimated using utility value sets from Australia, the UK and USA.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2014Article
- Harnessing the potential to quantify public preferences for healthcare priorities through citizens' juries.International journal of health policy and management · 2014Article
- Estimating QALY gains in applied studies: a review of cost-utility analyses published in 2010.PharmacoEconomics · 2014Review
- Korean guidelines for pharmacoeconomic evaluation (second and updated version) : consensus and compromise.PharmacoEconomics · 2013Article
- Family composition and expressions of family-focused care needs at an academic memory disorders clinic.International journal of Alzheimer's disease · 2013Article
- Family quality of life in dementia: a qualitative approach to family-identified care priorities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundQALYs combine survival and health-related quality of life (QOL) into a single index, enabling judgements about the relative value for money of healthcare interventions.
objectiveTo investigate the methods used for estimating QALY weights included in submissions by industry for listing of their products on the Australian Pharmaceutical Benefits Scheme. STUDY
designRetrospective descriptive review of submissions considered by the Pharmaceutical Benefits Advisory Committee (PBAC) 2002-4. DATA SOURCES: The database of submissions considered at PBAC meetings was obtained from the Pharmaceutical Evaluation Section of the Australian Government Department of Health and Ageing. Further information on each included submission was obtained in the form of the Pharmaceutical Evaluation Section commentary (expert report) on the submission.
methodsSubmissions to the PBAC over 2002-4 presenting QALYs as an outcome measure were reviewed to identify the methods used to obtain preference-based QALY weights. Information was analyzed according to the approach taken to obtain QALY weights (multi-attribute utility instrument [MAUI], health state valuation [HSV] experiment for scaling the health states, or non-preference-based approach); the population from whom the QALY weights were obtained; the appropriateness of the population for the instrument; the recommendation made by the PBAC; and the main indicated category for use of the pharmaceutical. The approach and the population were classified as 'more appropriate' and 'less appropriate'. The 'more appropriate' approaches were where a MAUI was administered to patients who were currently experiencing the health states being valued, or when an HSV experiment was undertaken in either the general population to value a health state derived from clinical and QOL studies or a population of patients to value their own health state. All other approaches were considered 'less appropriate'.
resultsMAUIs were used in 39% of approaches reporting QALYs; the most frequently used MAUI was the EQ-5D. HSV experiments were used in 36% of the approaches and generally drawn from the published literature. Non-preference-based approaches (24%) included rating scales, mapping transformations and consensus opinions. Responses from patients were used in 58% of the approaches, followed by healthcare professionals and investigators (24% and 9%, respectively). Healthcare professionals and investigators' responses were frequently used in non-preference-based approaches. Submissions for nervous system, infectious disease and neoplasms disease areas were less likely to have presented QALY weights derived from a 'more appropriate' approach. Of the approaches using 'more appropriate' populations and techniques, 56% were rejected by the PBAC compared with 66% of those using 'less appropriate' approaches.
conclusionsThe variability in the quality of QALY weights is troubling. The PBAC guidelines that applied over the period studied neither encouraged nor discouraged cost-utility analyses and provided only brief guidance on how QALY studies should be conducted. A consistent approach to the application of standard methods should be used when the QALY is used to inform decisions on resource allocation. The new PBAC guidelines released in 2006 provide more extensive guidance on derivation of QALY estimates and are more encouraging of the presentation of cost-utility analysis. MAUIs offer a straightforward approach to obtaining QALY weights, and ideally should be used routinely in relevant comparative randomized trials to assess patients' health states.
Indexed as
Identifiers
18370565What OpenQuestion holds
Registered trials
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.