Exploring noona Using Passively-Collected Data and Satisfaction/Loyalty Ratings (Preprint)

Abstract

PRO real-time communication of treatment-related symptoms is increasingly associated with better outcomes including longer survival and less healthcare resource use, but the primary method of collecting this information, static questionnaires, has not evolved.

Describe use of noona’s three methods of communicating treatment-related symptoms: 1) noona symptom questionnaires (NSQ) that incorporate branching logic, 2) a diary with NSQ tracking and reporting functionality, and 3) secure messaging and satisfaction, satisfaction with the application and explore, through the use of multivariable analyses, whether patients find value using these features.

noona users (n=1,081) that has an active account for more than 30 days, used one of the primary features, responded to the satisfaction/loyalty item and were undergoing active cancer treatment (systemic or radiotherapy) in the United States were included in this study. All study information (metadata, patient activities measured in clicks, satisfaction/loyalty score) were collected via software embedded within noona code. noona use was passively collected and the satisfaction/loyalty question (“How likely are you to recommend noona to another patient.”) popped-up on the noona homepage; users were able to opt-out of answering the item, but those that do answer are not asked again for at least three months.

noona users expressed a high degree of satisfaction/loyalty when asked to rate how likely they would recommend noona to another patient. Multivariable analyses indicate small, but significant effects for some of the analyses. Use of NSQs were significantly related to satisfaction/loyalty, users of NSQs had significantly higher satisfaction/loyalty than those who did not use any and secure communication use was significantly higher for those who rate the app highly compared to those who did not. These relationship will likely be improved with the use of satisfaction/loyalty questions that focus specifically on feature use.

noona is well like by respondents and exploratory multivariable analyses demonstrate the potential for using passively and minimally invasive data to demonstrate value. Satisfaction/Loyalty Ratings to explicate noona.

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