• Pathological gambling in Romanian teenagers. The psychopathology and neuropathology of teenagers

      Lupu, Viorel; Boros, Smaranda; Miu, A.; Iftene, A.; Geru, A. (2001)
      This note briefly describes three performance measures that can be used in business failure prediction models: the unweighted error rate (UER), D-max and the Gini-coefficient. The use of these measures (and the mathematical relationship between them) is illustrated with numerical examples. We hope that this note may help the reader to better understand (and possibly use) these classification criteria.
    • Patient co-creation activities in healthcare service delivery at the Micro level: The influence of online access to healthcare information

      Osei-Frimpong, K.; Wilson, A.; Lemke, Fred (Technological forecasting and social change, 2018)
      The healthcare sector has undergone a number of transformations in recent years, partly due to recent advances in technology. This triggered our study to examine patients' desire to seek health information largely driven by increased access via the Internet and the cumulative impacts on value co-creation. We employed a sequential exploratory design involving a phenomenological approach in the qualitative phase, followed by a quantitative survey design to further our understanding of the influence of technology in co-creating value in healthcare at the micro level. Advances in technology have empowered patients to be informed, which enabled them to play an active role in clinical encounters with the doctor. The findings suggest pre-encounter information search impacts positively on improved service engagement and commitment to compliance with medical instructions. It does this by shaping the nature of interactions, enhancing provider-patient orientation, and increasing their involvement in a shared decision-making process. From a theoretical perspective, our study integrates multiple research perspectives (e.g., access to information, online information seeking and knowledge creation, healthcare consultation models, etc.) and extends research on patient integration, participation, and co-creation of value. The conceptualization of value co-creation activities in this study suggests a need for service providers to adopt delivery approaches that would effectively integrate patient resources to co-create value.
    • Patient preferences to assess value in gene therapies: Protocol development for the paving study in Hemophilia

      van Overbeeke, Eline; Hauber, Brett; Michelsen, Sissel; Goldman, Michel; Simoens, Steven; Huys, Isabelle (Frontiers in Medicine, 2021)
      Introduction: Gene therapies are innovative therapies that are increasingly being developed. However, health technology assessment (HTA) and payer decision making on these therapies is impeded by uncertainties, especially regarding long-term outcomes. Through measuring patient preferences regarding gene therapies, the importance of unique elements that go beyond health gain can be quantified and inform value assessments. We designed a study, namely the Patient preferences to Assess Value IN Gene therapies (PAVING) study, that can inform HTA and payers by investigating trade-offs that adult Belgian hemophilia A and B patients are willing to make when asked to choose between a standard of care and gene therapy. Methods and Analysis: An eight-step approach was taken to establish the protocol for this study: (1) stated preference method selection, (2) initial attributes identification, (3) stakeholder (HTA and payer) needs identification, (4) patient relevant attributes and information needs identification, (5) level identification and choice task construction, (6) educational tool design, (7) survey integration, and (8) piloting and pretesting. In the end, a threshold technique survey was designed using the attributes "Annual bleeding rate," "Chance to stop prophylaxis," "Time that side effects have been studied," and "Quality of Life." Ethics and Dissemination: The Medical Ethics Committee of UZ KU Leuven/Research approved the study. Results from the study will be presented to stakeholders and patients at conferences and in peer-reviewed journals. We hope that results from the PAVING study can inform decision makers on the acceptability of uncertainties and the value of gene therapies to patients.
    • Patient-level effectiveness prediction modeling for glioblastoma using classification trees

      Geldof, Tine; Van Damme, Nancy; Huys, Isabelle; Van Dyck, Walter (Frontiers in Pharmacology, 2020)
      Little research has been done in pharmacoepidemiology on the use of machine learning for exploring medicinal treatment effectiveness in oncology. Therefore, the aim of this study was to explore the added value of machine learning methods to investigate individual treatment responses for glioblastoma patients treated with temozolomide.
    • Patients' perceptions of service quality and patient satisfaction in nuclear medicine

      De Man, Stefanie; Gemmel, Paul; Vlerick, Peter; Van Rijk, P.; Dierckx, Rudi (European Journal of Nuclear Medicine, 2002)
    • Pay and reward systems in organizations. Theoretical approaches and empirical outcomes

      Antoni, Conny Herbert; Baeten, Xavier; Lucas, Rosemary; Perkins, Stephen; Vartiainen, M. (2011)
    • Pay instruments and pay systems

      Baeten, Xavier; Verbruggen, An (2007)
    • Payment models and net present value optimization for resourceconstrained project scheduling

      Leyman, Pieter; Vanhoucke, Mario (Computers and Industrial Engineering, 2016)
      This manuscript focuses on the single- and multi-mode resource-constrained project scheduling problem with discounted cash flows (RCPSPDC and MRCPSPDC) and three payment models. The contribution of the paper is twofold. First, we extend a new scheduling technique, which moves activities in order to improve the project net present value. This more general version is applicable to multiple problem formulations and provides an overarching framework in which these models can be implemented. The changes in activity finish times take other activities and the possible changes in the finish times of these other activities into account, by forming a set of activities which is subsequently moved in time. The scheduling technique is implemented within a genetic algorithm metaheuristic and employs two penalty functions, one for deadline feasibility and one for non-renewable resource feasibility. Second, we test the proposed approach on several datasets from literature and illustrate the added value of each part of the algorithm. The influence of data parameters on the project net present value is highlighted. The detailed results provided in this paper can be used as future benchmarks for each of the six models discussed.
    • Payments: Refurbish or rebuild

      Slagmulder, Regine; Cumps, Bjorn; Dillen, Yannick (Journal of Digital Banking, 2018)
      The payments industry is facing its most radical change in decades. This is due to at least four change drivers — increased regulation, changing customer behaviour, technological innovation and new entrants. The sector faces increased competition from large established tech companies and small FinTech start-ups that are moving into the payments space. Based on the authors’ work with companies in the financial services industry and expert interviews, this paper identifies two distinct types of trends: those enhancing the existing payments system and those trying to build a completely new system. It is clear that a lot of the innovations focus on disintermediating the incumbent organisations. But how can these organisations best address these changes? Building on previous research the authors discuss four crucial capabilities for incumbents to master in an increasingly turbulent environment like the payments sector — designing superior customer experiences, setting up data-driven infrastructures, building multiparty collaborations and providing platform-based solutions. It is impossible for organisations to predict what will happen, but they will be better prepared for the road ahead by investing in these four capabilities.
    • Payments: refurnish or rebuild? Mastercard chair - Transforming for the future

      Slagmulder, Regine; Cumps, Bjorn; Dillen, Yannick (2017)
    • Pecking order and debt capacity considerations for high-growth companies seeking financing

      Vanacker, Tom; Manigart, Sophie (Small Business Economics, 2010)
    • Pension and Health Benefits. The cornerstone of a strategic employee benefits policy

      Loyens, Said; Baeten, Xavier (2017)
      AG Insurance and Vlerick Business School have conducted this study with the objective of getting a better picture on both employer practices and employee experiences in the field of supplementary pensions and health care benefits (further defined as ‘pension and health benefits’).
    • Pension Programme, Socially Responsible Investment. SRI Tool Kit 2004-2005

      Tagger, Jérôme; Green, R.; Kahlenborn, W.; Louche, Céline (2004)
    • People aspects of business process management: Determinants of process-oriented behaviour

      Van den Bergh, Joachim; Willaert, Peter; Willems, Jurgen; Deschoolmeester, Dirk (2008)