Electronic Patient Reported Outcome Measures (ePROMs) in Patients With Breast Disease: An Open-label, Randomized Controlled Trial on Patient Reported Experience Measures (PREMs) and Effectivity (PREMs_PROMs)

In recent years, large interest in the conduct and focus of clinical trials has focused to patient related outcomes and value-based healthcare. Patient Reported Outcome MeasureS, (PROMs) has become one of the standard instruments used for measuring outcomes; multiple PROMS have been extensively validated and are used in many clinical studies, but also in clinical routine. This is certainly the case for patients with breast disease, and in particular, breast cancer, where therapeutic advances in systemic and locoregional treatment have dramatically improved survival outcomes and shifted the interest in patient wellness, quality of life and health economy. However, their introduction and implementation require the development of certain logistics involving delivery to the patients, data procession and finally inclusion in patient journals and/or trial case report forms (CRFs).Additionally, Patient Reported Experience MeasureS (PREMS) allow for real-time feedback on the integration of care and can subsequently drive changes in health provision systems.

Currently, the paper-version of these PROMs, pPROMs, has been the standard version. With this comes some advantages, such as the ability to save and store filled PROMS, and for patients to fill them out when it suits them best, not having to answer all questions at once. At the same time, there are also disadvantages, such as that storing and processing the data is a tedious and resource-consuming task. Additionally, patients occasionally find it inconvenient to return the pPROMS by post; finally, the consumption of paper is not viewed as a environmentally friendly behaviour. At the same time and in the new era of digitalization, internet-based studies, such as surveys, become more popular. Most validated PROMS have been utilised in several occasions, and there is an effort for their standardisation in health care. These e-PROMs (electronic PROMs) seem to be more time-efficient since they do not have to be processed manually, but instead can be directly connected to digital systems which transform raw data (patient response) to big data and scores. It is also a more environment-friendly option since there is no need to print the questionnaires on paper or send them via mail to the patients and then back to the research centre. The question is how patients feel about these electronic versions and if their implementation may simplify PROMS, both for patients and healthcare givers and researchers alike. Even though the older generation at greater length is connected to the internet than before, and are more used to handling it, there are still those who are not comfortable with these new digital services.

Despite this being a reasonable hypothesis, no trials have examined this subject, that is to map the patients' attitudes toward participating in studies, nor which form is the preferred one, ePROMs or pPROMS. It would be reasonable to hypothesize that a more convenient mode of delivery would facilitate patients and would therefore increase response rates. Additionally, there is no randomized data on the optimal mode of PROMS delivery and process as far as monetary, personnel and structural resources are concerned

Reference population for the trial are women from the breast radiology unit, breast outpatient clinic and breast cancer patients from the oncology department of the participating sites. Patients will be asked to participate to this study through a letter sent they receive when receiving their appointment to the respective clinic/department. All patients are asked, regardless of diagnosis, sex or age; at this point, the researchers are not aware of individual information. If they consent, participants are randomised to either e-PROMs or pPROMs.

Trial hypothesis is that ePROMs are more convenient and time-efficient and that with these investigators can increase the response rate from 65% (which was observed in a pilot study previously conducted at the breast outpatient clinic at Uppsala University Hospital) to 80%.The trial is designed as a superiority trial to detect for a 0.15 difference between arms, with a 2-sided p-value=0.05 and 80% power. Sample size calculation was performed with (SampleSize4ClinicalTrials and TrialSize packages). This responds to 109 patients per arm. Patient allocation (1:1) is performed through permuted block randomisation performed on the R statistical software (randomizeR package) in blocks of 8.