Abstract 1934P
Background
Cancer-related mortality has been decreasing in the last years, meaning that over 50% adult cancer patients are expected to survive for at least five years. Managing follow-up (FU) guidelines is a critical and indispensable activity in oncology. Timing and precision in the decision-making process impact on the long-term healthiness of cancer patients. In this sense, information and communication technologies (ICT) are essential to support clinicians in the cancer patients´ FU. This work presents the outcomes from a research work conducted for Point of Care (PoC) systems applied in cancer FU.
Methods
The CeHRes (Center for eHealth Research and Disease Management) roadmap has been applied. From this, we conducted the first phase named Contextual inquiry: (1) a scoping review was carried out on the existing solutions following PRISMA guidelines; (2) recommendations from 7 experts (oncologists, technician, psychologist, epidemiologist) have been analyzed; (3) market research has been conducted on existing PoC systems and tools within eHealth market; and (4) the stakeholders have been identified by analyzing the results from the first 3 steps. A survey has been designed to verify and understand these results. The structure of the form includes i) explanation of the goal and methods; ii) profile questions; iii) questions to confirm the results.
Results
The Contextual inquiry results with around 30% of tools dedicated only to the FU phase. Regarding technology, there is a trend in the development of web-based solutions, 52% of tools analyzed are web-based. The tools generally include features such as dashboards, decision making support, data exploration and electronic health record integration. 13 stakeholders were identified, being the main beneficiaries clinicians, patients, nurses and hospital staff.
Conclusions
This work shows currently available ICT options to support clinical practice, and reveals actual needs. The results show the lack of specialized FU tools. Besides, very few of them include a system of alerts or the possibility of customizing a personalized FU. Also, tailoring data visualization is missing in most of the existing tools. The survey would verify the results and the unmet needs identified in this work.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
EU Horizon 2020 program, grant agreement No 875192.
Disclosure
All authors have declared no conflicts of interest.