Difficulties arising in reimbursement recommendations on new medicines due to inadequate reporting of population adjustment indirect comparison methods.


Journal

Research synthesis methods
ISSN: 1759-2887
Titre abrégé: Res Synth Methods
Pays: England
ID NLM: 101543738

Informations de publication

Date de publication:
Dec 2019
Historique:
received: 01 02 2019
revised: 20 06 2019
accepted: 24 06 2019
pubmed: 30 6 2019
medline: 11 7 2020
entrez: 29 6 2019
Statut: ppublish

Résumé

Indirect treatment comparisons are useful to estimate relative treatment effects when head-to-head studies are not conducted. Statisticians at the National Centre for Pharmacoeconomics Ireland (NCPE) and Scottish Medicines Consortium (SMC) assess the clinical and cost-effectiveness of new medicines as part of multidisciplinary teams. We describe some shared observations on areas where reporting of population-adjustment indirect comparison methods is causing uncertainty in our recommendations to decision-making committees when assessing reimbursement of medicines.

Identifiants

pubmed: 31250534
doi: 10.1002/jrsm.1368
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

615-617

Informations de copyright

© 2019 John Wiley & Sons, Ltd.

Références

http://nicedsu.org.uk/technical-support-documents/evidence-synthesis-tsd-series/ [Accessed 28 February 2019]
https://www.scottishmedicines.org.uk/making-a-submission/ [Accessed 28 February 2019]
http://www.ncpe.ie/submission-process/hta-guidelines/ [Accessed 28 February 2019]
Steyerberg EW. Clinical Prediction Models. Springer Science+Business Media, LLC; 2009.
Phillippo DM, Ades AE, Dias S, Palmer S, Abrams KR, Welton NJ NICE DSU Technical Support Document 18: methods for population-adjusted indirect comparisons in submission to NICE. 2016. http://nicedsu.org.uk/technical-support-documents/population-adjusted-indirect-comparisons-maic-and-stc/ [Accessed 28 February 2019]
Bucher HC, Guyatt GH, Griffith LE, Walter SD. The results of direct and indirect treatment comparisons in meta-analysis of randomized controlled trials. J Clin Epidemiol. 1997;50(6):683-691.
Dias S, Welton NJ, Sutton AJ, Ades AE NICE DSU Technical Support Document 2: a generalised linear modelling framework for pairwise and network meta-analysis of randomised control trials. 2016 http://nicedsu.org.uk/wp-content/uploads/2017/05/TSD2-General-meta-analysis-corrected-2Sep2016v2.pdf [Accessed 28 February 2019]
Higgins JPT, Altman DG, Gøtzsche PC, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. Br Med J. 2011;343(oct18 2):d5928. https://doi.org/10.1136/bmj.d5928
Grieve R, Abrams K, Claxton K, et al. Cancer Drugs Fund requires further reform. Br Med J. 2016;354. https://doi.org/10.1136/bmj.i5090

Auteurs

Eileen M Holmes (EM)

Dundee Epidemiology and Statistics Unit, University of Dundee, Dundee, UK.
Scottish Medicines Consortium, Health Improvement Scotland, Glasgow, UK.

Joy Leahy (J)

National Centre for Pharmacoeconomics, St. James's Hospital, Dublin, Ireland.

Cathal D Walsh (CD)

Health Research Institute and MACSI, University of Limerick, Limerick, Ireland.

Arthur White (A)

National Centre for Pharmacoeconomics, St. James's Hospital, Dublin, Ireland.
School of Computer Science and Statistics, Trinity College Dublin, The University of Dublin, Dublin, Ireland.

Peter T Donnan (PT)

Dundee Epidemiology and Statistics Unit, University of Dundee, Dundee, UK.

Felicity Lamrock (F)

National Centre for Pharmacoeconomics, St. James's Hospital, Dublin, Ireland.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH