Evidence map›Paper›PMID 34714428›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2022

Consideration of quality of life in the health technology assessments of rare disease treatments.

Elena Nicod, Michela Meregaglia, Amanda Whittal, Sheela Upadhyaya, Karen Facey, Michael Drummond

Open access · greenAbstract read
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In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

Elena NicodResearch Centre on Health and Social Care Management (CERGAS), SDA Bocconi School of Management, Via Sarfatti 10, 20136, Milan, Italy. elena.nicod@unibocconi.it.ORCID http://orcid.org/0000-0001-6798-9923
Michela MeregagliaResearch Centre on Health and Social Care Management (CERGAS), SDA Bocconi School of Management, Via Sarfatti 10, 20136, Milan, Italy.
Amanda WhittalResearch Centre on Health and Social Care Management (CERGAS), SDA Bocconi School of Management, Via Sarfatti 10, 20136, Milan, Italy.
Sheela UpadhyayaNational Institute for Health and Care Excellence, London, UK.
Karen FaceyUniversity of Edinburgh, Usher Institute for Population Health Sciences and Informatics, Edinburgh, UK.
Michael DrummondUniversity of York, Centre for Health Economics, York, UK.
Bocconi University · ITNational Institute for Health and Care Excellence · GBUniversity of Edinburgh · GBUniversity of York · GB

Funding

Horizon 2020 Framework Programme 779312
6 · The paper itself

Abstract

objectivesChallenges with patient-reported outcome (PRO) evidence and health state utility values (HSUVs) in rare diseases exist due to small, heterogeneous populations, lack of disease knowledge and early onset. To better incorporate quality of life (QoL) into Health Technology Assessment, a clearer understanding of these challenges is needed.

methodsNICE appraisals of non-oncology treatments with an EMA orphan designation (n = 24), and corresponding appraisals in the Netherlands, France, and Germany were included. Document analysis of appraisal reports investigated how PROs/HSUVs influenced decision-making and was representative of QoL impact of condition and treatment.

resultsPRO evidence was not included in 6/24 NICE appraisals. When included, it either failed to demonstrate change, capture domains important for patients, or was uncertain. In the other countries, little information was reported and evidence largely did not demonstrate change. In NICE appraisals, HSUVs were derived through the collection of EQ-5D data (7/24 cases), mapping (6/24), vignettes (5/24), and published literature or other techniques (6/24). The majority did not use data collected alongside clinical trials. Few measures demonstrated significant change due to lack of sensitivity or face validity, short-term data, or implausible health states. In 8/24 NICE appraisals, patient surveys or input during appraisal committee meetings supported the interpretation of uncertainty or provided evidence about QoL.

conclusionsThis study sheds light on the nature of PRO evidence in rare diseases and associated challenges. Results emphasise the need for improved development and use of PRO/HSUVs. Other forms of evidence and expert input are crucial to support better appraisal of uncertain or missing evidence.

Indexed as

Quality of LifeTechnology Assessment, BiomedicalCost-Benefit AnalysisHumansPatient Reported Outcome MeasuresRare DiseasesHealth-state utility valueHealth technology assessmentOrphan medicinal productsPatient-reported outcomeRare diseaseReimbursement

Identifiers

PMID34714428
OpenAlexW3208048017

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.