@inproceedings{db077458ce4144da9c83520f128d6178,
title = "Findings of e-ESAS: A mobile based symptom monitoring system for breast cancer patients in rural Bangladesh",
abstract = "Breast cancer (BC) patients need traditional treatment as well as long term monitoring through an adaptive feedback-oriented treatment mechanism. Here, we present the findings of our 31-week long field study and deployment of e-ESAS - the first mobile-based remote symptom monitoring system (RSMS) developed for rural BC patients where patients are the prime users rather than just the source of data collection at some point of time. We have also shown how {"}motivation{"} and {"}automation{"} have been integrated in e-ESAS and creating a unique motivation-persuasion-motivation cycle where the motivated patients become proactive change agents by persuading others. Though in its early deployment stages (2 months), e-ESAS demonstrates the potential to positively impact the cancer care by (1) helping the doctors with graphical charts of long symptom history (automation), (2) facilitating timely interventions through alert generation (automation) and (3) improving three way communications (doctor-patient-attendant) for a better decision making process (motivation) and thereby improving the quality of life of BC patients.",
keywords = "Breast cancer, Mobile computing, Symptom monitoring",
author = "Haque, {Munirul M.} and Ferdaus Kawsar and Md Adibuzzaman and Ahamed, {Sheikh I.} and Richard Love and Rumana Dowla and David Roe and Hossain, {Syed Mozammel} and Reza Selim",
year = "2012",
doi = "10.1145/2207676.2208532",
language = "English (US)",
isbn = "9781450310154",
series = "Conference on Human Factors in Computing Systems - Proceedings",
pages = "899--908",
booktitle = "Conference Proceedings - The 30th ACM Conference on Human Factors in Computing Systems, CHI 2012",
note = "30th ACM Conference on Human Factors in Computing Systems, CHI 2012 ; Conference date: 05-05-2012 Through 10-05-2012",
}