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

Resultado final

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
Report on the use of AI to predict treatment effect of orphan diseases. Experiments on how artificial data can be used to build better models when the available data set is small
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 on the relevant treatment combinations for the T1DM and T2DM patients

Report on the relevant treatment combinations for the T1DM and T2DM patients

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
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

Report on the prediction of treatment effectiveness. Experimental results using different machine learning methods showing how well explanatory factors can predict treatment effectiveness

Report on the prediction of treatment effectiveness Experimental results using different machine learning methods showing how well explanatory factors can predict treatment effectiveness

Review of change models methods for multi-lateral, multi-stakeholder initiatives

informed framework for realising change and commitment in the context of multilateral multistakeholder collaboration

Web application enabling users to select PROMs
Report of workshops to identify activities to increase the synergies with guideline developers

Report of Workshops to identify activities to increase the synergies with guideline developers

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 workshops alignment with other H2020 and IMI projects
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

Publicaciones

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

Autores: Maria Kamusheva, Konstantin Tachkov, Maria Dimitrova, Zornitsa Mitkova, Gema García-Sáez, M. Elena Hernando, Wim Goettsch, Guenka Petrova
Publicado en: Frontiers in endocrinology, 2020, ISSN 1664-2392
Editor: Frontiers Media
DOI: 10.3389/fendo.2021.636959

Real World Data in Health Technology Assessment of Complex Health Technologies. Frontiers in Pharmacology.

Autores: Hogervorst, M. A., Pontén, J., Vreman, R. A., Mantel-Teeuwisse, A. K., Goettsch W. G
Publicado en: Frontiers in Pharmacology, 2022, ISSN 1663-9812
Editor: Frontiers Media S.A.
DOI: 10.3389/fphar.2022.837302

Potential Barriers of Patient Involvement in Health Technology Assessment in Central and Eastern European Countries. Frontiers in Public Health.

Autores: Dimitrova, M., Jakab, I., Mitkova, Z., Kamusheva, M., Tachkov, K., Németh, B., Zemplényi, A., Dawoud, D., Delnoij, D. M. J., Houýez, F., Kaló, Z
Publicado en: Frontiers in Public Health, 2023, ISSN 1471-6348
Editor: Frontiers Media S.A
DOI: 10.3389/fpubh.2022.922708

ClinFlow–An Interactive Application for Clinical Data Mining

Autores: Oana Stoicescu, Eija Ferreira, Satu Tamminen, Pekka Siirtola, Gunjan Chandra, Riitta Veijola, Juha Röning
Publicado en: Public Health and Informatics, 2021, ISSN 1947-2579
Editor: Chicago IL
DOI: 10.3233/shti210162

The relation between prediction model performance measures and patient selection outcomes for proton therapy in head and neck cancer.

Autores: Leeuwenberg AM, Reitsma JB, Van den Bosch LGLJ, Hoogland J, van der Schaaf A , Hoebers FJP, Wijers OB, Langendijk JA, Moons KGM, Schuit E
Publicado en: Journal of the European Society for Therapeutic Radiology and Oncology, 2022, ISSN 0167-8140
Editor: Elsevier BV
DOI: 10.1016/j.radonc.2022.109449

A Review of Economic Models Submitted to NICE’s Technology Appraisal Programme, for Treatments of T1DM & T2DM. Frontiers in Pharmacology.

Autores: Daly, M-J., Elvidge, J., Chantler, T., Dawoud, D
Publicado en: Frontiers in Pharmacology, 2022, ISSN 1663-9812
Editor: Frontiers Media S.A.
DOI: 10.3389/fphar.2022.887298

Using real-world evidence in healthcare from Western to Central and Eastern Europe: a review of existing barriers. Journal of Comparative Effectiveness Research.

Autores: Kamusheva, M., Németh, B., Zemplényi, A., Kaló, Z., Elvidge, J., Dimitrova, M., Pontén, J., Tachkov, K., Mitkova, Z.
Publicado en: Journal of Comparative Effectiveness Research, 2022, ISSN 2042-6305
Editor: Future Medicine Ltd.
DOI: 10.2217/cer-2022-0065

Comparing methods addressing multi-collinearity when developing prediction models

Autores: 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
Publicado en: Diagnostic and Prognostic Research, Edición 5, 2022, ISSN 2397-7523
Editor: BioMed Central
DOI: 10.1186/s41512-021-00115-5

Decision Curve Analysis for Personalized Treatment Choice between Multiple Options. Medical Decision Making.

Autores: Chalkou, K., Vickers, A.J., Pellegrini, F., Manca, A., Salanti, G
Publicado en: Society for Medical Decision Making, 2023, ISSN 0272-989X
Editor: Sage Science Press
DOI: 10.1177/0272989x221143058

Impacts of Data Synthesis: A Metric for Quantifiable Data Standards and Performances. Data

Autores: Chandra, G., Siirtola, P., Tamminen, S., Knip, M.J., Veijola, R., Röning, J
Publicado en: Data, 2022, ISSN 2306-5729
Editor: MDPI
DOI: 10.3390/data7120178

Understanding innovation of health technology assessment methods: the IHTAM framework

Autores: Li Jiu, Milou A. Hogervorst, Rick A. Vreman, Rick A. Vreman, Aukje K. Mantel-Teeuwisse, Wim G. Goettsch
Publicado en: Technology Assessment in Health Care, 2022, ISSN 0266-4623
Editor: Cambridge University Press
DOI: 10.1017/s0266462322000010

Health technology assessment of tests for SARS-CoV-2 and treatments for COVID-19: A proposed approach and best-practice recommendations. International Journal of Technology Assessment in Health Care.

Autores: Elvidge, J., Summerfield, A., Knies, S., Németh, B., Kaló, Z., Goettsch, W., Dawoud, D. (2023).
Publicado en: International Journal of Technology Assessment in Health Care, 2023, ISSN 1471-6348
Editor: Cambridge University Press
DOI: 10.1017/s0266462323000223

Reimbursement and payment models in Central and Eastern European as well as Middle Eastern countries: A survey of their current use and future outlook. Drug Discovery Today.

Autores: Callenbach, M.H. E., Ádám, I., Vreman, R. A., Németh, B., Kaló, Z., Goettsch, W. G
Publicado en: Drug Discovery Today, 2023, ISSN 1359-6446
Editor: Elsevier BV
DOI: 10.1016/j.drudis.2022.103433

Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment. Frontiers in Public Health.

Autores: Zemplényi, A., Tachkov, K., Balkanyi, L., Németh, B., Petykó, Zs. I., Petrova, G., Czech, M., Dawoud, D., Goettsch, W., Gutierrez, I. I., Hren, R., Knies, S., Lorenzovici, L., Maravic, Z., Piniazhko, O., Savova, A., Manova, M., Tesar, T., Zerovnik, S., Kaló, Z
Publicado en: Frontiers in Public Health, 2023, ISSN 1664-8714
Editor: Frontiers Media S.A
DOI: 10.3389/fpubh.2023.1088121

Synergy between health technology assessments and clinical guidelines for multiple sclerosis. Clinical and Translational Science.

Autores: Hogervorst, M. A., Vreman, R. A., Zawada, A., Zielińska, M., Dawoud, D. M., de Jong, B. A., Mantel- Teeuwisse, A. K., Goettsch, W. G. (2023).
Publicado en: Clinical and Translational Science, 2023, ISSN 1752-8062
Editor: Wiley-Blackwell
DOI: 10.1111/cts.13492

Delayed payment schemes in Central-Eastern Europe and Middle-East.

Autores: Ádám, I., Callenbach, M., Németh, B., Vreman, R. A., Pontén, J., Strbad, T., Dawoud, D., Kostyuk, A., Seyam, A., Nagy, L., Goettsch, W. G., Kaló, Z.
Publicado en: Frontiers in Medicine, 2022, ISSN 2296-858X
Editor: Frontiers Media S.A
DOI: 10.3389/fmed.2022.940371

Reported Challenges in Health Technology Assessment of Complex Health Technologies

Autores: Milou A. Hogervorst; Rick A. Vreman; Aukje K. Mantel-Teeuwisse; Wim G. Goettsch
Publicado en: Value in Health, Edición 1, 2021, ISSN 1098-3015
Editor: 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

Autores: Emily Leckenby, Dalia Dawoud, Jacoline Bouvy, Páll Jónsson
Publicado en: Applied health economics and health policy, 2021, ISSN 1175-5652
Editor: 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

Autores: Chalkou, Konstantina; Steyerberg, Ewout; Bossuyt, Patrick; Subramanian, Suvitha; Benkert, Pascal; Kuhle, Jens; Disanto, Giulio; Kappos, Ludwig; Egger, Matthias; Salanti, Georgia
Publicado en: Diagnostic and Prognostic Research, Edición 3, 2021, ISSN 2397-7523
Editor: BioMed Central
DOI: 10.1186/s41512-021-00106-6

Data-Driven Identification of Long-Term Glycemia Clusters and Their Individualized Predictors in Finnish Patients with Type 2 Diabetes. Clinical Epidemiology.

Autores: Lavikainen, P., Chandra, G., Siirtola, P., Tamminen, S., Ihalapathirana, A.T., Röning, J., Laatikainen, T., Martikainen, J
Publicado en: Journal of Clinical Epidemiology, 2023, ISSN 1878-5921
Editor: Elsevier
DOI: 10.2147/clep.s380828

Synthesizing cross-design evidence and cross-format data using network meta-regression. Research Synthesis Methods.

Autores: Hamza, T., Chalkou, K., Pellegrini, F., Kuhle, J., Benkert, P., Lorscheider, J., Zecca, C., Iglesias-Urrutia, C. P., Manca, A., Furukawa, T. A., Cipriani, A., Salanti, G. (2023).
Publicado en: Research Synthesis Methods, 2023, ISSN 1759-2887
Editor: Wiley
DOI: 10.1002/jrsm.1619

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

Autores: Jamie Elvidge; Dalia Dawoud; Dalia Dawoud
Publicado en: Pharmacoeconomics, Edición 1, 2021, ISSN 1170-7690
Editor: Adis International Ltd.
DOI: 10.1007/s40273-021-01097-4

Recommendations for patient involvement in health technology assessment in Central and Eastern European countries. Frontiers in Public Health.

Autores: Jakab, I., Dimitrova, M., Houÿez, F., Bereczky, T., Fövényes, M., Maravic, Z., Belina, I., Andriciuc, C., Tóth, K., Piniazhko, O., Hren, R., Gutierrez-Ibarluzea, I., Czech, M., Tesar, T., Niewada, M., Lorenzovici, L., Kamusheva, M., Manova, M., Savova, A., Mitkova, Z., Tachkov, K., Németh, B., Petykó, Zs. I., Dawoud, D., Delnoij, D., Knies, S., Goettsch, W., Kaló, Z. (2023).
Publicado en: Frontiers in Public Health, 2023, ISSN 1664-8714
Editor: Frontiers Media S.A
DOI: 10.3389/fpubh.2023.1176200

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

Autores: Tasnim Hamza; Andrea Cipriani; Toshi A. Furukawa; Matthias Egger; Nicola Orsini; Georgia Salanti
Publicado en: Statistical Methods in Medical Research, Edición 3, 2021, ISSN 0962-2802
Editor: SAGE Publications
DOI: 10.1177/0962280220982643

Barriers to Use Artificial Intelligence Methodologies in Health Technology Assessment in Central and East European Countries. Frontiers in Public Health.

Autores: Tachkov, K., Zemplenyi, A., Kamusheva, M., Dimitrova, M., Siirtola, P., Pontén, J., Németh, B., Kaló, Z., Petrova, G
Publicado en: Frontiers in Public Health, 2022, ISSN 1471-6348
Editor: Frontiers Media S.A
DOI: 10.3389/fpubh.2022.921226

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

Autores: Jamie Elvidge, Ashley Summerfield, David Nicholls, Dalia Dawoud
Publicado en: Value in Health, 2022, ISSN 1098-3015
Editor: Blackwell Publishing Inc.
DOI: 10.1016/j.jval.2022.01.001

The Potential Value of Identifying Type 2 Diabetes Subgroups in the CPRD Cohort for Guiding Intensive Treatment: A HTx Study Comparing Novel Data-Driven Clustering to Traditional Risk-Driven Subgroups

Autores: Xinyu Li, Junfeng Wang, James Altunkaya, Francisco Javier Somolinos-Simón, Anoukh van Giessen, Li Jiu et al
Publicado en: Diabetes care journal, 2023, ISSN 0149-5992
Editor: American Diabetes Association
DOI: 10.2337/dc22-2170

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

Autores: Richard Ofori-Asenso, Christine E. Hallgreen, Marie Louise De Bruin
Publicado en: Frontiers in Medicine, 2020, ISSN 2296-858X
Editor: Frontiers Media S.A.
DOI: 10.3389/fmed.2020.582634

Guidance on using real-world evidence from Western Europe in Central and Eastern European health policy decision making. Journal of Comparative Effectiveness Research.

Autores: Németh, B., Kamusheva, M., Mitkova, Z., Petykó, Zs. I., Zemplényi, A., Dimitrova, M., Tachkov, K., Balkányi, L., Czech, M., Dawoud, D., Goettsch, W., Hren, R., Knies, S., Lorenzovici, L., Maravic, Z., Piniazhko, O., Zerovnik, S., Kaló, Z
Publicado en: Journal of Comparative Effectiveness Research, 2023, ISSN 2042-6305
Editor: Future Medicine Ltd.
DOI: 10.57264/cer-2022-0157

A two‐stage prediction model for heterogeneous effects of treatments

Autores: Konstantina Chalkou, Ewout Steyerberg, Matthias Egger, Andrea Manca, Fabio Pellegrini, Georgia Salanti
Publicado en: Statistics in Medicine, 2021, ISSN 0277-6715
Editor: John Wiley & Sons Inc.
DOI: 10.1002/sim.9034

Outcome-based reimbursement in Central-Eastern Europe and Middle-East. Frontiers in Medicine.

Autores: Ádám, I., Callenbach, M., Németh, B., Vreman, R.A., Tollin, C., Pontén, J., Dawoud, D., Elvidge, J., Crabb, N., van Waalwijk van Doorn-Khosrovani, S.B., Pisters-van Roy, A., Vincziczki, Á., Almomani, E., Vajagic, M., Oner, Z.G., Matni, M., Fürst, J., Kahveci, R., Goettsch, W.G., Kaló, Z
Publicado en: Frontiers in Medicine, 2022, ISSN 2296-858X
Editor: Frontiers Media S.A
DOI: 10.3389/fmed.2022.940886

OP96 Patient Reported Outcome Measure-Select App. International Journal of Technology Assessment in Health Care.

Autores: Quik, E
Publicado en: International Journal of Technology Assessment in Health Care, 2022, ISSN 1471-6348
Editor: Cambridge University Pres
DOI: 10.1017/s0266462322001428

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