Patient-reported outcome measures obtained via E-Health tools ease the assessment burden and encourage patient participation in cancer care (PaCC Study)

Abstract

Patient-reported outcome measures obtained via E-Health tools ease the assessment burden and encourage patient participation in cancer care (PaCC Study) Background E-health based patient-reported outcome measures (PROMs) have the potential to automate early identification of both nutrition status and distress status in cancer patients while facilitating treatment and encouraging patient participation. This cross-sectional study assessed the acceptability, accuracy, and clinical utility of PROMs collected via E-Health tools among patients undergoing treatment for stomach, colorectal, and pancreatic tumors. Results Eight-nine percent mostly, or completely, agreed that PROMs via tablets should be integrated in routine clinical care. Men were significantly more likely to require help completing the questionnaires than women (inv.OR= 0.51, 95% CI=(0.27, 0.95), p = 0.035). The level of help needed increased by 3% with each 1-year increase in age (inv. OR=1.03, 95% CI=(1.01, 1.06), p = 0.013). On average, a patient tended to declare weight which was 0.84 kg inferior to their true weight (Bland and Altman 95 % CI=(-3.9, 5.6); SD: 2.41) and a height which was 0.95 cm superior to their true height (Bland and Altman 95 % CI=(−5, 3.1); SD 2.08). Patient-reported nutrition status was significantly associated with the professionally generated assessment (95% CI=(2.27, 4.15), p < 0.001). As nutrition status declined, the distress score increased (95%CI=(0.88, 1.68), p < 0.001). Of the patients, 48.8% who were both distressed and malnourished requested supportive care to address their problems. Conclusion Patient-reported assessments utilizing E-health tools are an accurate and efficient method to encourage patient participation in cancer care while simultaneously ensuring that regular assessment of psycho-social and nutritional aspects of care are efficiently integrated in the daily clinical routine.

Mobile applications for early breast cancer chemotherapy-related symptoms reporting and management: A scoping review

“…Positive correlation of Cancer e-Support Program usage duration with self-efficacy (r = 0.290, p = .03), social support (r = 0.320, p = .02), and quality of life (r = 0.273, p = .04) at 3 months. 2020, China [21] Secondary data analysis of the multicentre, singleblinded, RCT [18] Intervention group from RCT [18] Mobile nutritional aspects of care via the app was efficiently integrated in clinical routine [38].…”

The influence of baseline characteristics, treatment and depression on health-related quality of life in patients with multiple myeloma: a prospective observational study

“…In addition, these patients should also get intensive support from the help of artificial intelligence or special coaching programs, for example. There is starting to be documented evidence for the effectiveness of these forms of intensive support [ 28 , 29 ].…”

mHealth program for patients with advanced cancer receiving treatment in a public health hospital in Brazil

“…In addition, it also suggests the effectiveness of the workflow to address symptoms scored 4 and above, including the alert, the notification for the primary oncology -129 including improved physical and emotional symptoms, suggesting that these findings were not an artefact of time. 3,7,12,15,27,28 Notably, previous data have shown that patients are receptive to this type of intervention, 9,10 with the exception for older patients who face some challenges with technology. 29 Interestingly, in the present study, age did not impact level of engagement (p = 0.847), nor did level of education, income, race, or distance between patients' home and the cancer center.…”

“…6 A host of benefits have been associated with such interventions, including increased patient engagement, more highly integrated care of symptoms in oncology care and more effective symptom management by the health care team. [7][8][9][10][11] In addition, these programs may enhance self-management and autonomy, improve care regardless of age, sex and stage of the disease, and facilitate access to supportive care. 7,[12][13][14][15][16] Further, the use of eHealth/ mHealth-based interventions may favor early access to supportive care, reduce the burden of symptoms, improve Health-Related Quality of Life (HR-QOL) and promote longer survival.…”