All India Institute of Medical Sciences, New Delhi, India
Atul Batra , akash kumar , Raja Pramanik , Sachin Khurana , Deepam Pushpam , Sameer Bakhshi , Atul Sharma , Ajay Gogia , Prabhat Singh Malik
Background: Assessment of physical and psychological symptoms using patient-reported outcome (PRO) scales is an often overlooked aspect in oncological practice in resource constrained settings. We assessed the pattern of symptoms at diagnosis in solid organ cancers using an innovative smart device based delivery of the Edmonton Symptom Assessment Scale (ESAS). Methods: We assessed PROs using ESAS at diagnosis in adult patients diagnosed with solid organ cancers at a large tertiary care centre in New Delhi, India from September 2021 to January 2022. The ESAS was delivered to patient's smart phone as a text message that provided a unique link to complete the questionnaire in Hindi or English, as preferred by the patient. Symptom severity was categorized into physical, psychological, and total symptom domains and the scores were further classified as none to mild (0-3) or moderate to severe (4-10). Univariate and Multivariate logistic regression analyses were performed to determine predictive factors. Results: Text message with ESAS completion link was sent to 653 consecutive patients, of whom 509 (77.9%) completed the questionnaire during the study period. The median age was 52 years and 53.2 % were males. The primary cancer site was lung, breast, gastrointestinal, and others in 27.7%, 28.1%, 14.4%, and 29.8%, respectively. Pain (59.1%) and tiredness (57.8%) constituted the maximum physical symptom scores in moderate and severe category. Patients with lung cancer had most physical symptoms categorised in moderate and severe compared with other cancers (P = 0.03), while psychological symptoms were more likely to be moderate to severe females (P = 0.01). In the multivariable logistic regression analysis after adjusting for measured confounders, primary cancer site (lung vs others) and sex (female vs male) were significant predictors for moderate and severe physical and psychological symptoms, respectively. Conclusions: A simple mobile-based ESAS delivery system can help in collecting PRO data to assess symptom burden in patients diagnosed with cancer. The symptom burden assessment can aid in providing personalised symptom-directed measures to improve the quality of life of patients with cancer.
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Abstract Disclosures
Funded by Conquer Cancer
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