Scientific publications

• ARTICLE: Chalkou, K., Hamza, T., Benkert,. P. Kuhle, J., Zecca, C., Simoneau, G., Pellegrini, F., Manca, A., Egger, M., Salanti, G. (2024). Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments. Research Synthesis Methods. DOWNLOAD

• ARTICLE: Werkman, N. C. C., García-Sáez, G., Nielen, J. T. H., Tapia-Galisteo, J., Somolinos-Simón, F. J., Hernando, M. E., Wang, J., Jiu, L., Goettsch, W. G., van der Kallen, C. J. H., Koster, A., Schalkwijk, C. G., de Vries, H., de Vries, N. K., Eussen, S. J. P. M., Driessen, J. H. M., Stehouwer C. D. A. (2024). Disease severity-based subgrouping of type 2 diabetes does not parallel differences in quality of life: the Maastricht Study. Diabetologia. DOWNLOAD

• ARTICLE: Elvidge, J., Hopkin, G., Narayanan, N., Nicholls, D., Dawoud, D. (2023). Diagnostics and treatments of COVID-19: two-year update to a living systematic review of economic evaluations. Frontiers in Pharmacology. DOWNLOAD

• POSTER: ‘Influence of Data Size and Class Balance on Machine Learning Classification Performance and SHAP Explanations’ – Ihalapathirana, A., Chandra, G., Lavikainen, P., Siirtola, P.,  Tamminen, S., Talukder, N., Martikainen, J., Röning, J. (University of Oulu & University of Eastern Finland) Arctic AI Days, Oulu, Finland 31 October – 1 November 2023 DOWNLOAD

• POSTER: ‘Explainable prediction of glycated hemoglobin response before and after drug initiation with ITE in Finnish Type 2 diabetes patients using evidence-based machine learning’ Chandra, G., Ihalapathirana, A., Lavikainen, P., Siirtola, P., Tamminen, S., Martikainen, J., Röning, J. (University of Oulu & University of Eastern Finland) Arctic AI Days, Oulu, Finland 31 October – 1 November 2023 DOWNLOAD

• ARTICLE: Ihalapathirana, A., Chalkou, K., Siirtola, P., Tamminen, S., Chandra, G., Benkert, P., Kuhle, J., Salanti, G., Röning, J. (2023). Explainable Artificial Intelligence to predict clinical outcomes in type 1 diabetes and relapsing-remitting multiple sclerosis adult patients. Informatics in Medicine Unlocked. DOWNLOAD

• ARTICLE: Vithlani, J., Hawksworth, C., Elvidge, J., Ayiku, L., Dawoud, D. (2023). Economic evaluations of artificial intelligence-based healthcare interventions: a systematic literature review of best practices in their conduct and reporting. Frontiers in Pharmacology. DOWNLOAD

• ARTICLE: 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). Recommendations for patient involvement in health technology assessment in Central and Eastern European countries. Frontiers in Public Health. DOWNLOAD

• ARTICLE: Hawksworth, C., Elvidge, J., Knies, S., Zemplenyi, A., Petykó, Zs. I., Siirtola, P., Chandra, G., Srivastava, D., Denniston, A., Chalkidou, A., Delaye, J., Nousios, P., Gomes, M., Saygın Avşar, T., Wang, J., Petrou, S., Dawoud, D. (2023). Protocol for the development of an artificial intelligence extension to the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) 2022. medRxiv. DOWNLOAD

• ARTICLE: 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. (2023). Recommendations to overcome barriers to the use of artificial intelligence-driven evidence in health technology assessment. Frontiers in Public Health. DOWNLOAD

• ARTICLE: Elvidge, J., Summerfield, A., Knies, S., Németh, B., Kaló, Z., Goettsch, W., Dawoud, D. (2023). 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. DOWNLOAD

• ARTICLE: 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. (2023). Guidance on using real-world evidence from Western Europe in Central and Eastern European health policy decision making. Journal of Comparative Effectiveness Research. DOWNLOAD

• ARTICLE: 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). Synergy between health technology assessments and clinical guidelines for multiple sclerosis. Clinical and Translational Science. DOWNLOAD

• POSTER: ‘Explainable Artificial Intelligence to Predict Clinical Outcomes in Type 1 Diabetes Adults’ – Ihalapathirana, A. (University of Oulu) LFT Day, Oulu, Finland, 9 February 2023 DOWNLOAD

• ARTICLE: 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). Synthesizing cross-design evidence and cross-format data using network meta-regression. Research Synthesis Methods. DOWNLOAD

• ARTICLE: Lavikainen, P., Chandra, G., Siirtola, P., Tamminen, S., Ihalapathirana, A.T., Röning, J., Laatikainen, T., Martikainen, J. (2023). Data-Driven Identification of Long-Term Glycemia Clusters and Their Individualized Predictors in Finnish Patients with Type 2 Diabetes. Clinical Epidemiology. DOWNLOAD

• ARTICLE: Callenbach, M.H. E., Ádám, I., Vreman, R. A., Németh, B., Kaló, Z., Goettsch, W. G. (2023). 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. DOWNLOAD

• ARTICLE: Quik, E. (2022). OP96 Patient Reported Outcome Measure-Select App. International Journal of Technology Assessment in Health Care. DOWNLOAD

• ARTICLE: Chandra, G., Siirtola, P., Tamminen, S., Knip, M.J., Veijola, R., Röning, J. (2022). Impacts of Data Synthesis: A Metric for Quantifiable Data Standards and Performances. Data. DOWNLOAD

• ARTICLE: Chalkou, K., Vickers, A.J., Pellegrini, F., Manca, A., Salanti, G. (2022). Decision Curve Analysis for Personalized Treatment Choice between Multiple Options. Medical Decision Making. DOWNLOAD

• POSTER: ‘To Merge Randomized Controlled Trials and Real-world Evidence with Bayesian Network Meta – regression: A Case Study in Patients with Myelodysplastic Syndromes’ – Jiu, L., Hartog, M., Wang, J., Vreman, R. A., Mantel-Teeuwisse, A. K., Goettsch, W. G. (Utrecht University & National Health Care Institute (ZiN)) ISPOR Europe, Vienna, Austria, 6-9 November 2022 DOWNLOAD

• POSTER: ‘How Could the Appraisal Tools of Real-world Evidence be Applied for the Decision-making in Health Technology Assessment: a Mixed-methods Review and Thematic Analysis’ – Jiu, L., Hartog, M., Wang, J., Vreman, R. A., Mantel-Teeuwisse, A. K., Goettsch, W. G. (Utrecht University & National Health Care Institute (ZiN)) ISPOR Europe, Vienna, Austria, 6-9 November 2022 DOWNLOAD

• POSTER: ‘Target Trial Emulation (TTE) for real world data analyses to support HTA decisions’ – Bennett, A., Manca, A., Krief, N. (University of York) ISPOR Europe, Vienna, Austria, 6-9 November 2022 DOWNLOAD
  

• POSTER: ‘Machine Learning for Estimating Individualized Treatment Effect from Real World Data for Use in Health Technology Assessment’ – Zhang, Y., Kreif, N., Gc, V., Manca, A. (University of York) ISPOR Europe, Vienna, Austria, 6-9 November 2022 DOWNLOAD
  

• POSTER: ‘Estimating the Causal Effect of Early Use of Erythropoietic Stimulating Agents in Intermediate-1 to Low-risk MDS Patients: An Application of the Longitudinal Targeted Maximum Likelihood Estimation’ – Zhang, Y., Kreif, N., Bennett, A., Gc, V., Manca, A. (University of York) ISPOR Europe, Vienna, Austria, 6-9 November 2022 DOWNLOAD

• ARTICLE:  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. (2022). Outcome-based reimbursement in Central-Eastern Europe and Middle-East. Frontiers in Medicine. DOWNLOAD

• ARTICLE: 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. (2022). Delayed payment schemes in Central-Eastern Europe and Middle-East. Frontiers in Medicine. DOWNLOAD
  

• ARTICLE: Dimitrova, M., Jakab, I., Mitkova, Z., Kamusheva, M., Tachkov, K., Németh, B., Zemplényi, A., Dawoud, D., Delnoij, D. M. J., Houýez, F., Kaló, Z. (2022). Potential Barriers of Patient Involvement in Health Technology Assessment in Central and Eastern European Countries. Frontiers in Public Health. DOWNLOAD

• ARTICLE: Tachkov, K., Zemplenyi, A., Kamusheva, M., Dimitrova, M., Siirtola, P., Pontén, J., Németh, B., Kaló, Z., Petrova, G. (2022). Barriers to Use Artificial Intelligence Methodologies in Health Technology Assessment in Central and East European Countries. Frontiers in Public Health. DOWNLOAD

• ARTICLE: Kamusheva, M., Németh, B., Zemplényi, A., Kaló, Z., Elvidge, J., Dimitrova, M., Pontén, J., Tachkov, K., Mitkova, Z. (2022). Using real-world evidence in healthcare from Western to Central and Eastern Europe: a review of existing barriers. Journal of Comparative Effectiveness Research. DOWNLOAD

• ARTICLE: Hogervorst, M. A., Vreman, R. A., Mantel-Teeuwisse, A. K., Goettsch, W. G. (2022). Reported Challenges in Health Technology Assessment of Complex Health Technologies. Value in Health. DOWNLOAD

• POSTER: ‘Impacts of Data Synthesis: A Metric for Quantifiable Data Standards and Performances’ – Chandra, G. (University of Oulu) Arctic AI Days, Oulu, Finland, 2-3 June 2022  DOWNLOAD

• POSTER: ‘Explainable Artificial Intelligence to predict clinical outcomes for adults with Type 1 Diabetes’ – Ihalapathirana, A., Siirtola, P., Chandra, G., Tamminen, S., Röning, J. (University of Oulu) Arctic AI Days, Oulu, Finland, 2-3 June 2022 DOWNLOAD

• ARTICLE: Daly, M-J., Elvidge, J., Chantler, T., Dawoud, D. (2022). A Review of Economic Models Submitted to NICE’s Technology Appraisal Programme, for Treatments of T1DM & T2DM. Frontiers in Pharmacology. DOWNLOAD

• ARTICLE: Hogervorst, M. A., Pontén, J., Vreman, R. A., Mantel-Teeuwisse, A. K., Goettsch W. G. (2022).  Real World Data in Health Technology Assessment of Complex Health Technologies. Frontiers in Pharmacology. DOWNLOAD

• ARTICLE: Jiu, L., Hogervorst, M., Vreman, R., Mantel-Teeuwisse, A., Goettsch, W. (2022). Understanding innovation of health technology assessment methods: The IHTAM framework. International Journal of Technology Assessment in Health Care. DOWNLOAD

• ARTICLE: Elvidge, J., Dawoud, D. (2021). Assessing Technologies for COVID-19: What are the Challenges for Health Technology Assessment Agencies? Findings From a Survey and Roundtable Workshop. DOWNLOAD
  

• ARTICLE: Elvidge, J., Summerfield, A., Knies, S., Németh, B., Kaló, Z., Goettsch, W., Dawoud, D. (2021). Best-practice guidance for the health technology assessment of diagnostics and treatments for COVID-19. DOWNLOAD

• ARTICLE: Leckenby, E., Dawoud, D., Bouvy, J., Páll, J. (2021). The Sandbox Approach and its Potential for Use in Health Technology Assessment: A Literature Review. Applied Health Economics & Health Policy. DOWNLOAD

• POSTER: ‘Engaging stakeholders when changing HTA from within an international consensus building project. Seven factors to keep in mind.’ – Lokhorst, A., Hogervorst, M. A. (Zorginstituut Nederland – ZIN) HTAi 2021 Virtual Annual Meeting, 19-23 June 2021 DOWNLOAD

• POSTER: ‘Data-driven Subgroups Of Patients With Type 1 Diabetes Based On Health Technology For Insulin Delivery’ – Somolinos-Simón, F.J., García-Sáez, G., Tapia-Galisteo , J., M.E. Hernando, M. E. (Universidad Politécnica de Madrid) HTAi 2021 Virtual Annual Meeting, 19-23 June 2021 DOWNLOAD

• ARTICLE: Chalkou, K., Steyerberg, E., Egger, M., Manca, A., Pellegrini, F., Salanti, G. (2021). A Two-Stage Prediction Model For Heterogeneous Effects of Treatments. Statistics in Medicine. DOWNLOAD

• ARTICLE: Chalkou, K., Steyerberg, E., Bossuyt, P., Subramanian, S., Benkert, P., Kuhle, J., Disanto, G., Kappos, L., Egger, M., Salanti, G. (2021). Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis. DOWNLOAD

• ARTICLE: Stoicescu, O., Ferreira, E., Tamminen, S., Siirtola, P., Chandra, G., Veijola, R., Röning, J. (2021). ClinFlow – An Interactive Application for Clinical Data Mining. Public Health and Informatics. DOWNLOAD

• ARTICLE: Kamusheva, M., Tachkov, K., Dimitrova, M., Mitkova, Z., García-Sáez, G., Hernando, M.E., Goettsch, W., Petrova, G., (2021). A Systematic Review of Collective Evidences Investigating the Effect of Diabetes Monitoring Systems and Their Application in Health Care. Frontiers in Endocrinology. DOWNLOAD

• ARTICLE: Leeuwenberg, A. M., van Smeden, M., Langendijk, J. A.,  van der Schaaf, A., Mauer, M. E., Moons, K. G. M., Reitsma, J. B., Schuit, E. (2021). Comparing methods addressing multi-collinearity when developing prediction models. DOWNLOAD

• ARTICLE: Hamza, T., Cipriani, A., Furukawa, T. A., Egger, M., Orsini, N., Salanti, G. (2021). A Bayesian dose-response meta-analysis model: A simulations study and application. Statistical Methods in Medical Research. DOWNLOAD

• POSTER: ‘The Use Of The Sandbox Approach In The Context of HTA: A Literature Review’ – Leckenby, E., Dawoud, D., Jonsson, P. (NICE) Virtual ISPOR Europe 2020, 16 – 19 November 2020 DOWNLOAD

• POSTER: ‘Challenges in Health Technology Assessment of Complex Health Technologies’ – Milou A. Hogervorst, Rick A. Vreman, Aukje K. Mantel-Teeuwisse, Wim G.Goettsch (Utrecht University & The Netherlands National Health Care Institute (ZIN)) Virtual ISPOR Europe 2020, 16 – 19 November 2020 DOWNLOAD

• ARTICLE: Ofori-Asenso, R., Hallgreen, C. E., De Bruin, M. L. (2020). Improving Interactions Between Health Technology Assessment Bodies and Regulatory Agencies: A Systematic Review and Cross-Sectional Survey on Processes, Progress, Outcomes, and Challenges. Frontiers in Medicine. DOWNLOAD

• ARTICLE: Chalkou, K., Steyerberg, E., Egger, M., Manca, A., Pellegrini, F., Salanti, G. (2020). A two-stage prediction model for heterogeneous effects of many treatment options: application to drugs for Multiple Sclerosis. DOWNLOAD

• POSTER: ‘A two-stage prediction model for heterogeneous effects for many treatment options’ – Konstantina Chalkou (University of Bern) Swiss Public Health Conference 2020 in Lucern, 2-4 September 2020 DOWNLOAD

• POSTER: ‘NEXT GENERATION HEALTH TECHNOLOGY ASSESSMENT TO SUPPORT PATIENT-CENTRED, SOCIETALLY ORIENTED, REAL-TIME DECISION-MAKING IN DIABETES: CLINICAL DECISION SUPPORT SYSTEMS/ADVISORS’ – G. Garcia-Sanchez (Universidad Politécnica de Madrid) International Conference on Advanced Technologies & Treatments for Diabetes, Madrid, 2020 DOWNLOAD

• POSTER (in Spanish): HTx: ‘Marco para la próxima generación de Evaluación de Tecnologías Sanitarias en Europa’ – M. Elena Hernando, Gema García-Sáez (Universidad Politécnica de Madrid), Annual Conference of the Biomedical Enginnering Spanish Society (CASEIB2019) 27-29 November 2019, Santander, Spain DOWNLOAD

• POSTER: ‘Flexible Generic Framework for Evidence Synthesis in Health Technology Assessment’ – Tasnim Hamza (University of Bern) Graduate School for Health Sciences Symposium 2019, Parkhotel Gunten, Thun Switzerland  November 19 – 20, 2019 DOWNLOAD

• POSTER: ‘A two-stage prediction model for heterogeneous effects for many treatment options’ – Konstantina Chalkou (University of Bern) Graduate School for Health Sciences Symposium 2019, Parkhotel Gunten, Thun Switzerland  November 19 – 20, 2019 DOWNLOAD

Presentations

‘Predicting the Success of ESA in EUMDS Patients Using XAI’ Gunjan Chandra (University of Oulu, Finland) EUMDS & MDS-RIGHT Consortium meeting (30 October 2023) DOWNLOAD

‘IPD Network meta-regression to make predictions for heterogeneous treatment effects’ Konstantina Chalkou (University of Bern, Switzerland), Annual meeting of the Society for Research Synthesis Methods (Paris, France, 5-7 July 2023) DOWNLOAD

‘Involvement of patients in HTA processes and an introduction to the HTx project’ Zsuzsanna Petykó, Bertalan Németh (Syreon Research Institute, Hungary), EURORDIS Open Academy (Barcelona, Spain, 21 June 2023) DOWNLOAD

‘Machine Learning Methods for Healthcare Data analysis’ Gunjan Chandra (University of Oulu, Finland), Economic Evaluation Seminar (York, United Kingdom, 2 May  2023) DOWNLOAD

‘Personalized predictions under several treatment options: An online tool for patients with relapsing-remitting multiple sclerosis’ Konstantina Chalkou (University of Bern, Switzerland), EMSP Annual Conference 2022 (Madrid, Spain, 29th – 30th April 2022) DOWNLOAD

‘Case Study 3 Showcase – Optimal treatment for relapsing-remitting Multiple Sclerosis ‘ Konstantina Chalkou (University of Bern, Switzerland), 4th HTx General Assembly (Budapest, Hungary, 20th – 21st April 2022) DOWNLOAD

‘A new R package to synthesize cross-design evidence and cross-format data ‘ Tasnim Hamza (University of Bern, Switzerland), Evidence Synthesis & Meta-Analysis in R Conference (February 21st to 24th 2022) VIDEO

‘A Workshop on shared decision-making – using real-world evidence (how) can we do it?’ organised by Zorginstituut Nederland, The Netherlands (online event, 29 November 2021) VIDEO – Part 1, VIDEO – Part 2, VIDEO – Part 3

‘Choosing patient reported outcome measures (PROMs): How to pick the right PROMs?’ Dr. Elise Quik (Zorginstituut Nederland, The Netherlands), HTx Expert Forum (online event, 25 November 2021) DOWNLOAD and VIDEO

‘Decision curve analysis for treatment benefit in a network meta-analysis framework’ Konstantina Chalkou (University of Bern, Switzerland), Conference of the Austro-Swiss Region (ROeS) of the International Biometric Society (Salzburg, Austria 7-10 September 2021) DOWNLOAD

‘Cross-design and cross-data format synthesis using network meta-analysis’ Tasnim Hamza (University of Bern, Switzerland), Conference of the Austro-Swiss Region (ROeS) of the International Biometric Society (Salzburg, Austria 7-10 September 2021) DOWNLOAD

‘Decision curve analysis for treatment benefit in a network meta-analysis framework’ Konstantina Chalkou (University of Bern, Switzerland), Royal Statistical Society (RSS) International conference 2021 (Manchester, United Kingdom 6-9 September 2021) DOWNLOAD

‘A prediction model of heterogeneous treatment effects using randomized and observational data’ Konstantina Chalkou (University of Bern, Switzerland), Webinar Case Study 3 HTx (online event 20-21 October 2021) DOWNLOAD

‘Flexible generic framework for evidence synthesis in health technology assessment using network meta-analysis’ Tasnim Hamza (University of Bern, Switzerland), 42^nd (Virtual) Annual Conference of the International Society for Clinical Biostatistics (ISCB) (online event 18-22 July 2021) DOWNLOAD

‘Decision curve analysis for personalized treatment choice between multiple options’ Konstantina Chalkou (University of Bern, Switzerland), 42^nd (Virtual) Annual Conference of the International Society for Clinical Biostatistics (ISCB) (online event 18-22 July 2021) DOWNLOAD

‘crosnma: To synthesize cross-design evidence and cross-format data using network meta-analysis’ Tasnim Hamza (University of Bern, Switzerland) Workshop on crosnma (online event 15 June 2021) DOWNLOAD and VIDEO

‘Data Synthesis for precision medicine models’ Gunjan Chandra (University of Oulu, Finland) DELTA Workshop (online event 8 June 2021) DOWNLOAD

‘Synergies between regulatory authorities, HTA organisations and clinical guideline developers’ Wim Goettsch and Milou Hogervorst (with additional moderators, prof. Aukje Mantel-Teeuwisse, prof. Bert Leufkens, prof. Marieke de Bruin, dr. Rick Vreman, dr. Junfeng Wang, dr. Mathias Mollebeak) (Utrecht University, The Netherlands) Deliverable 4.3 Workshop on synergies (Focus Groups) (online event 10 May 2021) DOWNLOAD

‘Dwarsverband Bevorderen Kwaliteit’ (in Dutch) Dr. Elise Quik (Zorginstituut Nederland, The Netherlands) Internal meeting at Zorginstituut Nederland (online event 19 April 2021) DOWNLOAD

‘A two-stage model for individualized predictions under several treatment options for RRMS’ Konstantina Chalkou, Georgia Salanti (University of Bern, Switzerland), 3rd HTx Consortium Meeting (online event 24-25 March 2021) DOWNLOAD

‘Flexible generic framework for evidence synthesis in health technology assessment’ Tasnim Hamza (University of Bern, Switzerland) 3rd HTx Consortium Meeting (online event 24-25 March 2021) DOWNLOAD

‘Collinearity in Prognostic Models for Dysphagia’ Artuur Leeuwenberg, PhD (University Medical Center Utrecht, The Netherlands) MEMTAB 2020 Virtual Symposium (online event 10-11 December 2020) DOWNLOAD and VIDEO

‘The Future of Health Technology Assessment’ Dr Dalia Dawoud, (NICE, United Kingdom) 2^nd Annual Conference of the BMC Journal of Pharmaceutical Policy and Practice (online event November 21 2020) DOWNLOAD

‘Flexible generic framework for evidence synthesis in health technology assessment’ Tasnim Hamza (University of Bern, Switzerland), Virtual ISPOR 2020 (online event 16-19 November 2020) DOWNLOAD

‘A prediction model of heterogeneous treatment effects using randomized and observational data’ Konstantina Chalkou (University of Bern, Switzerland), Virtual ISPOR 2020 (online event 16-19 November 2020) DOWNLOAD

‘HTx webinar Case Study 1 – Proton Therapy among head and neck cancer patients’ Enricol Clementel/Marjan Sharabiani, Prof. J.A.Langendijk, Dr. A.M.Leeuwenberg/Dr. Ewout Schuit, Dr. Lifang Liu, EURORDIS (online webinar organised by EORTC November 11 2020) VIDEO

‘Incorporating single-arm observational evidence in network meta-analysis: an assessment of the available methods’, Tasnim Hamza (University of Bern, Switzerland), Swiss Public Health Conference (online event 2 – 3 September 2020) DOWNLOAD

‘Bayesian dose-response network meta-analysis’, Tasnim Hamza (University of Bern, Switzerland), 41^st Annual Conference of the International Society for Clinical Biostatistics (Krakow, Poland 23-27 August 2020) DOWNLOAD

‘A prediction model of heterogeneous treatment effects using randomized and observational data’, Konstantina Chalkou (University of Bern, Switzerland), 41^st Annual Conference of the International Society for Clinical Biostatistics (Krakow, Poland 23-27 August 2020) DOWNLOAD

‘HTx Next Generation Health Technology Assessment EU Horizon 2020 Project’ Dr Dalia Dawoud, (NICE, United Kingdom) GINAHTA webinar – HTA & Guidelines: What can we learn from each other? (online event June 29 2020) DOWNLOAD

‘Improving synergy between HTA bodies and regulatory agencies’ Richard Ofori-Asenso (University of Copenhagen, Denmark) Internal UCPH, Copenhagen Centre for Regulatory Science Scientific Advisory Board meeting (online event June 18, 2020) DOWNLOAD

‘A two-stage prediction model for heterogeneous effects of many treatment options: application to drugs for Multiple Sclerosis’ Konstantina Chalkou, Georgia Salanti (University of Bern, Switzerland),  2^nd HTx General Assembly  (Bern, Switzerland 6-7 February 2020) DOWNLOAD

‘The need for better HTA methodology for more complex and personalised medicine’ Wim Goettsch, (Utrecht University, The Netherlands) Pharmaceutical Pricing and Reimbursement (PPRI) Conference (Vienna, Austria October 23-24, 2019) DOWNLOAD

‘A Bayesian two-stage dose-response meta-analysis model’ Tasnim Hamza (University of Bern, Switzerland) XXXIst Conference of the Austro-Swiss Region [ ROeS ] of the International Biometric Society (Lausanne, Switzerland, September 9-12, 2019) DOWNLOAD

‘A two-stage prediction model for heterogeneous effects for many treatment options’ Konstantina Chalkou (University of Bern, Switzerland) XXXIst Conference of the Austro-Swiss Region [ ROeS ] of the International Biometric Society (Lausanne, Switzerland, September 9-12, 2019) DOWNLOAD

PR materials

HTx Introductory slide deck  DOWNLOAD

HTx introductory video (shorter version for the general public) VIDEO

HTx introductory video (longer version for patients with subtitles in 5 languages) VIDEO

HTx Flyer – HTAi Annual Meeting, Utrecht, Netherlands June 25-29 2022 DOWNLOAD

HTx Newsletter February 2024 DOWNLOAD

HTx Newsletter November 2023 DOWNLOAD

HTx Newsletter August 2023 DOWNLOAD

HTx Newsletter March 2023 DOWNLOAD

HTx Newsletter September 2022 DOWNLOAD

HTx Newsletter June 2022 DOWNLOAD

HTx Newsletter February 2022 DOWNLOAD

HTx Press Release 4th October 2021 – Best-practice guidance for the health technology assessment of diagnostics and treatments for COVID-19 DOWNLOAD

HTx Newsletter November 2021 DOWNLOAD

HTx Newsletter July 2021 DOWNLOAD

HTx Newsletter March 2021 DOWNLOAD

HTx Newsletter April 2020 DOWNLOAD

HTx Newsletter September 2019 DOWNLOAD

Project results

HTx Deliverable 1.1: Systematic review on how (cost-) effectiveness of combinations of health technologies, individualised/personalised treatments and treatment pathways is currently being assessed by HTA bodies DOWNLOAD

HTx Deliverable 1.3: Review on treatment modalities for patient with myelodysplastic syndrome (MDS) DOWNLOAD

HTx Deliverable 1.4: Report describing the available data sources in relapsing-remitting Multiple Sclerosis case study 3 DOWNLOAD

HTx Deliverable 1.5: Report on the relevant treatment combinations for the T1DM and T2DM patients DOWNLOAD

HTx Deliverable 1.6: Reviews on applicable patients and models for proton therapy for patients with head and neck cancer DOWNLOAD

HTx Deliverable 3.2: 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 DOWNLOAD

HTx Deliverable 4.1: Review on the current synergies with clinical guideline developers DOWNLOAD

HTx Deliverable 4.2: Review on the outcomes of synergies between regulatory agencies and HTA agencies DOWNLOAD

HTx Deliverable 4.4: Overview of the development of the use of RWD including a review of national consensus methods currently developed DOWNLOAD

HTx Deliverable 4.5: Review on suitable payment models for co-dependent technologies, combination technologies and advanced therapy medicinal products (ATMP’s) DOWNLOAD

HTx Deliverable 4.6: Web application enabling users to select PROMs: The PROM-select app DOWNLOAD

HTx Deliverable 4.8: Policy paper on transferability of payment models throughout Europe (including low- and middle-income countries) DOWNLOAD

HTx Project Result: R package ‘crossnma’ to synthesize cross-design evidence and cross-format data using network meta-analysis and network meta-regression READ MORE, DOWNLOAD, VIDEO – Part 1, VIDEO – Part 2, VIDEO – Part 3

HTx Project Result: PROM Toolbox DOWNLOAD

HTx Project Result: PROM-Guide DOWNLOAD

HTx Project Result: The Literature Review on the Use of PROMs Toolbox DOWNLOAD

HTx Project Result: PROM-Cycle DOWNLOAD

HTx Project Result: The Linnean Menu DOWNLOAD

HTx Project Result: The making of the PROM-overview & PROM-select app DOWNLOAD

HTx Project Result: PROM-overview DOWNLOAD

HTx Project Result: Patient-Reported Outcome Measure-select app DOWNLOAD and ACCESS APP

HTx Project Result: PROM-links DOWNLOAD

HTx Expert Forum 2021 meeting presentations (3rd June 2021) DOWNLOAD

HTx Expert Forum meeting November 25, 2019 Barcelona (Spain) – Summary poster of results DOWNLOAD