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Next Generation Health Technology Assessment to support patient-centred, societally oriented, real-time decision-making on access and reimbursement for health technologies throughout Europe

Deliverables

Review on the current synergies with clinical guideline developers

Review on the current synergies with clinical guideline developers

A theoretical description of the suite of stratified and individualised cost-effectiveness analysis models that incorporate real-world data and open-access software code

A theoretical description of the suite of stratified and individualised costeffectiveness analysis models that incorporate realworld data and openaccess software code

. Reviews on applicable patients and models for proton therapy for patients with head and neck cancer

Reviews on applicable patients and models for proton therapy for patients with head and neck cancer

Report on real-word health outcomes (on population average and in subgroups) under different drug options for patients with relapsing-remitting MS

Report on realword health outcomes on population average and in subgroups under different drug options for patients with relapsingremitting MS

Overview of the development of the use of RWD including a review of international consensus methods currently developed

Overview of the development of the use of RWD including a review of international consensus methods currently developed

Dissemination plan, development of a corporate image and Project website

Dissemination plan development of a corporate image and Project website

Systematic review

Systematic review on how cost effectiveness of combinations of health technologies individualisedpersonalised treatments and treatment pathways is currently being assessed by HTA bodies

Report of explanatory factors for treatment effectiveness based on the data from the case study. This includes experimental results using different machine learning methods showing which signals and factors are most important

Report of explanatory factors for treatment effectiveness based on the data from the case study This includes experimental results using different machine learning methods showing which signals and factors are most important

A theoretical description of the suite of network meta-analysis models for real-world effectiveness within patient subgroups and open-access software code

A theoretical description of the suite of network metaanalysis models for realworld effectiveness within patient subgroups and openaccess software code

Report describing the available data sources in MS

Report describing the available data sources in MS the parameters that they can estimate and an evaluation of their agreement and disagreement with respect to the evidence they provide on treatment effects

Review on the outcomes of synergies between regulatory agencies and HTA agencies

Review on the outcomes of synergies between regulatory agencies and HTA agencies

Policy paper on transferability of payment models throughout Europe (including low- and middle-income countries

Policy paper on transferability of payment models throughout Europe including low and middleincome countries

Review on treatment modalities for patients with myelodysplastic syndrome (MDS)

Review on treatment modalities for patients with myelodysplastic syndrome MDS

Review on suitable payment models for co-dependent technologies, combination technologies and advanced therapy medicinal products (ATMP's) and provide suggestions of alternative models

Review on suitable payment models for codependent technologies combination technologies and advanced therapy medicinal products ATMPs and provide suggestions of alternative models

Web application enabling users to select PROMs

Web application enabling users to select PROMs

A theoretical description of the suite of network meta-analysis models for real-world effectiveness and open-access software code

A theoretical description of the suite of network metaanalysis models for realworld effectiveness and openaccess software code

Report of workshop on how clinicians and patients can use RWE to explore expectations regarding the outcome(s) of treatment and to make shared decisions

Report of workshop on how clinicians and patients can use RWE to explore expectations regarding the outcomes of treatment and to make shared decisions

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Publications

A Systematic Review of Collective Evidences Investigating the Effect of Diabetes Monitoring Systems and Their Application in Health Care

Author(s): Maria Kamusheva, Konstantin Tachkov, Maria Dimitrova, Zornitsa Mitkova, Gema García-Sáez, M. Elena Hernando, Wim Goettsch, Guenka Petrova
Published in: Frontiers in endocrinology, 2020, ISSN 1664-2392
Publisher: Frontiers Media
DOI: 10.3389/fendo.2021.636959

ClinFlow–An Interactive Application for Clinical Data Mining

Author(s): Oana Stoicescu, Eija Ferreira, Satu Tamminen, Pekka Siirtola, Gunjan Chandra, Riitta Veijola, Juha Röning
Published in: Public Health and Informatics, 2021, ISSN 1947-2579
Publisher: Chicago IL
DOI: 10.3233/shti210162

Comparing methods addressing multi-collinearity when developing prediction models

Author(s): Leeuwenberg, Artuur M.; van Smeden, Maarten; Langendijk, Johannes A.; van der Schaaf, Arjen; Mauer, Murielle E.; Moons, Karel G. M.; Reitsma, Johannes B.; Schuit, Ewoud
Published in: Diagnostic and Prognostic Research, 5, 2022, ISSN 2397-7523
Publisher: BioMed Central
DOI: 10.1186/s41512-021-00115-5

Understanding innovation of health technology assessment methods: the IHTAM framework

Author(s): Li Jiu, Milou A. Hogervorst, Rick A. Vreman, Rick A. Vreman, Aukje K. Mantel-Teeuwisse, Wim G. Goettsch
Published in: Technology Assessment in Health Care, 2022, ISSN 0266-4623
Publisher: Cambridge University Press
DOI: 10.1017/s0266462322000010

Reported Challenges in Health Technology Assessment of Complex Health Technologies

Author(s): Milou A. Hogervorst; Rick A. Vreman; Aukje K. Mantel-Teeuwisse; Wim G. Goettsch
Published in: Value in Health, 1, 2021, ISSN 1098-3015
Publisher: Blackwell Publishing Inc.
DOI: 10.1016/j.jval.2021.11.1356

The sandbox approach and its potential for use in health technology assessment: A literature review

Author(s): Emily Leckenby, Dalia Dawoud, Jacoline Bouvy, Páll Jónsson
Published in: Applied health economics and health policy, 2021, ISSN 1175-5652
Publisher: Open Mind Journals
DOI: 10.1007/s40258-021-00665-1

Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis

Author(s): Chalkou, Konstantina; Steyerberg, Ewout; Bossuyt, Patrick; Subramanian, Suvitha; Benkert, Pascal; Kuhle, Jens; Disanto, Giulio; Kappos, Ludwig; Egger, Matthias; Salanti, Georgia
Published in: Diagnostic and Prognostic Research, 3, 2021, ISSN 2397-7523
Publisher: BioMed Central
DOI: 10.1186/s41512-021-00106-6

Assessing Technologies for COVID-19: What are the Challenges for Health Technology Assessment Agencies? Findings From a Survey and Roundtable Workshop.

Author(s): Jamie Elvidge; Dalia Dawoud; Dalia Dawoud
Published in: Pharmacoeconomics, 1, 2021, ISSN 1170-7690
Publisher: Adis International Ltd.
DOI: 10.1007/s40273-021-01097-4

A Bayesian dose-response meta-analysis model: A simulations study and application

Author(s): Tasnim Hamza; Andrea Cipriani; Toshi A. Furukawa; Matthias Egger; Nicola Orsini; Georgia Salanti
Published in: Statistical Methods in Medical Research, 3, 2021, ISSN 0962-2802
Publisher: SAGE Publications
DOI: 10.1177/0962280220982643

Diagnostics and Treatments of COVID-19: A Living Systematic Review of Economic Evaluations

Author(s): Jamie Elvidge, Ashley Summerfield, David Nicholls, Dalia Dawoud
Published in: Value in Health, 2022, ISSN 1098-3015
Publisher: Blackwell Publishing Inc.
DOI: 10.1016/j.jval.2022.01.001

Improving interactions between health technology assessment bodies and regulatory agencies: a systematic review and cross-sectional survey on processes, progress, outcomes, and challenges

Author(s): Richard Ofori-Asenso, Christine E. Hallgreen, Marie Louise De Bruin
Published in: Frontiers in Medicine, 2020, ISSN 2296-858X
Publisher: Frontiers Media S.A.
DOI: 10.3389/fmed.2020.582634

A two‐stage prediction model for heterogeneous effects of treatments

Author(s): Konstantina Chalkou, Ewout Steyerberg, Matthias Egger, Andrea Manca, Fabio Pellegrini, Georgia Salanti
Published in: Statistics in Medicine, 2021, ISSN 0277-6715
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/sim.9034