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ContextRisk profiling of oncology patients based on their symptom experience assists clinicians to provide more personalized symptom management interventions. Recent findings suggest that oncology patients with distinct symptom profiles can be identified using a variety of analytic methods.ObjectivesThe objective of this study was to evaluate the concordance between the number and types of subgroups of patients with distinct symptom profiles using latent class analysis and K-modes analysis.MethodsUsing data on the occurrence of 25 symptoms from the Memorial Symptom Assessment Scale, that 1329 patients completed prior to their next dose of chemotherapy (CTX), Cohen's kappa coefficient was used to evaluate for concordance between the two analytic methods. For both latent class analysis and K-modes, differences among the subgroups in demographic, clinical, and symptom characteristics, as well as quality of life outcomes were determined using parametric and nonparametric statistics.ResultsUsing both analytic methods, four subgroups of patients with distinct symptom profiles were identified (i.e., all low, moderate physical and lower psychological, moderate physical and higher Psychological, and all high). The percent agreement between the two methods was 75.32%, which suggests a moderate level of agreement. In both analyses, patients in the all high group were significantly younger and had a higher comorbidity profile, worse Memorial Symptom Assessment Scale subscale scores, and poorer QOL outcomes.ConclusionBoth analytic methods can be used to identify subgroups of oncology patients with distinct symptom profiles. Additional research is needed to determine which analytic methods and which dimension of the symptom experience provide the most sensitive and specific risk profiles.

Effective symptom management is a critical component of cancer treatment. Computational tools that predict the course and severity of these symptoms have the potential to assist oncology clinicians to personalize the patient's treatment regimen more efficiently and provide more aggressive and timely interventions. Three common and inter-related symptoms in cancer patients are depression, anxiety, and sleep disturbance. In this paper, we elaborate on the efficiency of Support Vector Regression (SVR) and Non-linear Canonical Correlation Analysis by Neural Networks (n-CCA) to predict the severity of the aforementioned symptoms between two different time points during a cycle of chemotherapy (CTX). Our results demonstrate that these two methods produced equivalent results for all three symptoms. These types of predictive models can be used to identify high risk patients, educate patients about their symptom experience, and improve the timing of pre-emptive and personalized symptom management interventions.

IntroductionWhile some evidence exists that real-time remote symptom monitoring devices can decrease morbidity and prevent unplanned admissions in oncology patients, overall, these studies have significant methodological weaknesses. The electronic Symptom Management using the Advanced Symptom Management System (ASyMS) Remote Technology (eSMART) study is designed to specifically address these weaknesses with an appropriately powered, repeated-measures, parallel-group stratified randomised controlled trial of oncology patients.Methods and analysisA total of 1108 patients scheduled to commence first-line chemotherapy (CTX) for breast, colorectal or haematological cancer will be recruited from multiple sites across five European countries.Patients will be randomised (1:1) to the ASyMS intervention (intervention group) or to standard care currently available at each site (control group). Patients in the control and intervention groups will complete a demographic and clinical questionnaire, as well as a set of valid and reliable electronic patient-reported outcome measures at enrolment, after each of their CTX cycles (up to a maximum of six cycles) and at 3, 6, 9 and 12 months after completion of their sixth cycle of CTX. Outcomes that will be assessed include symptom burden (primary outcome), quality of life, supportive care needs, anxiety, self-care self-efficacy, work limitations and cost effectiveness and, from a health professional perspective, changes in clinical practice (secondary outcomes).Ethics and disseminationEthical approval will be obtained prior to the implementation of all major study amendments. Applications will be submitted to all of the ethics committees that granted initial approval.eSMART received approval from the relevant ethics committees at all of the clinical sites across the five participating countries. In collaboration with the European Cancer Patient Coalition (ECPC), the trial results will be disseminated through publications in scientific journals, presentations at international conferences, and postings on the eSMART website and other relevant clinician and consumer websites; establishment of an eSMART website (www.esmartproject.eu) with publicly accessible general information; creation of an eSMART Twitter Handle, and production of a toolkit for implementing/utilising the ASyMS technology in a variety of clinical practices and other transferable health care contexts.Trial registration numberNCT02356081.

INTRODUCTION:In Europe, the work done by the European Commission and the European Network for Health Technology Assessment (EUnetHTA) has consolidated the role of Health Technology Assessment (HTA), and promises to better harmonize its impact across European Union (EU) countries. However, more work is needed to improve patient involvement in assessing new health technology, and in developing research priorities.METHODS:The European Cancer Patient Coalition (ECPC) developed a model for engagement of patients in HTA based on the experience from: •ECPC's ‘Value of Innovation in Oncology’ White Paper, which includes input from ECPC's membership•ECPC's leading role in the Patient Preferences in Benefit-Risk Assessments during the Drug Life Cycle (PREFER) study, funded by the Innovative Medicines Initiative, to develop guidelines on how patient-preference studies should be performed throughout the development of new medical treatments.RESULTS:The ECPC ‘Value of Innovation in Oncology’ White Paper was launched in 2017. The paper provides ECPC's policy position on key obstacles to equitable access to meaningful innovation. The paper recommends the establishment of an EU-wide HTA body to reduce delays and variations in access and to avoid duplication of effort by individual Member States. The paper also recommends that patients should be formally and routinely included in HTA policy and operations at EU and at national levels. These recommendations were also submitted to the European Commission's public consultation on strengthening EU cooperation on HTA.Through its work in PREFER, ECPC is helping to improve how patient preferences are measured and valued to capture the impact of health technology on patients daily life. Patient preferences are concerned with measuring how patients value components such as treatment end points, route of administration, treatment duration, treatment frequency, frequency of side-effects, price, and quality of life.CONCLUSIONS:Patient organization involvement in HTA is vital. Patient organizations offer unique insights, experiences, identify unmet needs, and can help to produce practical recommendations [ABSTRACT FROM PUBLISHER]

To protect cancer patients from COVID-19 exposure, prioritization strategies are being implemented at global level. Measures include use of tele-health services, deferring elective surgeries, delaying non life-saving therapies, interrupting maintenance and supportive care regimens and suspending screening and regular follow-up visits. Nonetheless, the risk of infection may not always outweigh oncology treatment benefit. Lives of most oncology patients depend on their ability to receive medical, surgical and radiotherapy care. Postponing screening, follow-up and radical surgeries increase patients' risk of developing metastatic disease. A viral pandemic lasts long time and exhibits seasonal and geographical variations. Though vaccines will be available only in the 2021, a global, aggressive, all-embracing and protracted slowdown of oncologic activities will severely jeopardize patients' outcomes. A present international oncologists' panel, ECPC and FAVO, strongly suggest that Hospital measures in a specific geographical area/Nation should be in line with the local epidemic, and restrictions adopted should be adapted and stratified over time.

There is an urgent need for solutions to the economic and social inequalities in cancer care that still exist in many European countries. Patient preferences, 'big data', mobile digital technology and molecular and genomic profiling are among the innovative research topics that connect cancer patients to comprehensive cancer centres, and link translational research to cancer diagnosis, treatment and care. The question is whether Europe can deliver the complex infrastructure needed for universal coverage and equitable access to cancer care. The European Cancer Patient Coalition (ECPC), the leading 'umbrella' cancer patient organisation in Europe, has a central role in bringing the unmet needs of patients with cancer to the forefront of cancer policy, care and research. The ECPC is a respected and reliable partner in the oncology community and has effectively collaborated with institutional stakeholders and organisations, as well as with the European Commission, on cancer research projects and in the development of tools to advance health care and cancer policies at the European and national level. The ECPC believes that innovation cannot emerge and grow without patient involvement and is fully committed to increasing patient education and contribution in cancer research through its active participation in various European cancer research programmes and educational resources. The ECPC is expected to play a major role in the mission on cancer, given its previous achievements in policy and research to help overcome the inequalities in cancer prevention, treatment, rehabilitation and survivorship care. The mission on cancer will be facilitated by active collaboration between patient organisations and scientists, clinicians, politicians and industry, with the aim of identifying important research questions regarding quality of life and social issues for cancer patients of all ages., (© 2019 The Authors. Published by FEBS Press and John Wiley & Sons Ltd.)