{"id":4280,"date":"2020-04-09T14:33:19","date_gmt":"2020-04-09T12:33:19","guid":{"rendered":"https:\/\/idibell.cat\/en\/?page_id=4280"},"modified":"2024-06-20T08:50:09","modified_gmt":"2024-06-20T06:50:09","slug":"health-services-research-in-cancer","status":"publish","type":"page","link":"https:\/\/idibell.cat\/en\/research\/cancer-area\/epidemiology-public-health-cancer-prevention-and-palliative-care-program\/health-services-research-in-cancer\/","title":{"rendered":"Health Services Research in Cancer"},"content":{"rendered":"\n

\n\t\tHealth services research in cancer\n\t<\/h1>\n

\n\t\tSummary\n\t<\/h3>\n\t

The Health Services Research in Cancer Group is made up of ten researchers with a multidisciplinary composition that includes doctors, biostatistics, economists, political scientists, and psychologists.<\/p>\n

The main objectives of the group defined for the next three years are to analyze the impact of cancer on the population of Catalonia and investigate the determinants that explain the use of health services in cancer screening and care. To achieve these objectives, the group applies a combination of quantitative, qualitative and mixed methods resulting from its multidisciplinary composition, as well as the combination of clinical, administrative and economic data, with a population-based approach as a priority, as well as applying real-world data analysis methodologies. A specific area of \u200b\u200bdevelopment is the use of information technologies in psychological support or therapeutic adherence, which can be useful for improving care in a process of healthcare change such as the current one.<\/p>\n\t\t\t\t\"<a\n\t\t\t\t\t\tDesigned by Pressfoto \/ Freepik<\/a>\n

217<\/h2>\n

Publications<\/h2>\n\t\t\t\t\tStrategic lines<\/a>\n\t\t\t\t\t\t\t\t\t\t\tExpand<\/i><\/a>\n\t\t\t\t\t

Analyze the possible clinical and molecular criteria for personalization of population cancer screening<\/p>\n

Evaluate the determinants of the use of health services with special interest in the determinants of adherence to cancer treatment (hormonal treatment, chemotherapy and radiotherapy) and in participation in population screening programs<\/p>\n

Estimate the needs of cancer treatments from population-based (incidence) models in a European perspective as well as analysis models of the economic cost of treatment. These models will serve to analyze the economic impact that therapeutic innovation can have<\/p>\n

Analyze the new organizational models of cancer care as a consequence of the introduction of precision medicine, the aging of cancer patients, ICTs, and the need to coordinate the levels of care involved in the journey of the cancer patient within the health system.<\/p>\n

Develop tools based on Bayesian methodology for cancer projections and rare tumors useful in planning the necessary healthcare resources as well as developing tools based on machine learning techniques for the simulation and analysis of synthetic data that serve as a basis in the inference \/ estimation of possible indicators in cohort studies<\/p>\n

Promote the evaluation of new strategies based on information technologies to improve psychological support for cancer patients in all phases of their evolution.<\/p>\n

Identify the determinants of the adoption of clinical and organizational innovations in the health system and carry out applied research related to specific case studies on innovative therapeutic or preventive strategies.<\/p>\n\t\t\t\t\tSelected Publications<\/a>\n\t\t\t\t\t\t\t\t\t\t\tExpand<\/i><\/a>\n\t\t\t\t\t