An application (ePRO) -based patient reported outcomes of quality of life from an innovative cancer care delivery model.

Abstract

e23176 Background: With the accessibility of smartphones, it has become possible to develop applications for patient-reported outcomes. Quality of life (QoL) is an important measure in oncology research. We developed a phone application that could use any standardized form to be filled in by the patient. Here, we report using the EORTC questionnaire, QLQ-C30, built into the application as a form for data collection from our ongoing district cancer care program, which offers support at government district hospitals in India using an alternate oncology work force. Methods: An application (ePRO) was created, which allows one doctor administrator to follow the patients. Once the application is downloaded, the patient opens the QoL questionnaire (QLQ-C30), built into the application, and completes it using a smartphone. The researcher downloaded the data in Excel format and analyzed it. The application was attempted at a tertiary cancer center and a public hospital district cancer unit. A cross-sectional study was conducted over six months in 2023.The data were analyzed using SPSS version 24. Results: The application was downloaded and activated on the smartphones of 441 patients. Patients completed the form available through the application. Of all the respondents, 229 (51.9%) were male and 212 (48.1%) were female. The mean QoL of the tertiary hospital was 69.29, with a standard deviation (SD) of 18.98.The QoL scores were 50.94 (SD 23.50) in district hospital 1 and 77.01 (SD 17.35) in district hospital 2. The difference between one district and the other was significant (p < 0.001). The symptom scale scores varied between district hospitals and other hospitals. Conclusions: This presentation serves two purposes: to validate a new patient-reported outcome application and to provide data on QoL from peripheral centers compared with tertiary centers. The use of technology is feasible and can help gather patient-reported outcomes easily. There appears to be a difference in the quality of life of patients from different geographical locations. [Table: see text]