Findings of e-ESAS: A Mobile Based Symptom Monitoring System for Breast Cancer Patients in Rural Bangladesh
Document Type
Conference Proceeding
Language
eng
Format of Original
10 p.
Publication Date
5-2012
Publisher
Association for Computing Machinery
Source Publication
CHI '12 Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems
Source ISSN
9781450310154
Original Item ID
doi: 10.1145/2207676.2208532
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.
Recommended Citation
Haque, Munirul; Kawsar, Ferdaus; Adibuzzaman, Mohammad; Ahamed, Sheikh Iqbal; Lovett, Richard; Dowla, Rumana; Hossain, Syed M.; and Selim, Reza, "Findings of e-ESAS: A Mobile Based Symptom Monitoring System for Breast Cancer Patients in Rural Bangladesh" (2012). Mathematics, Statistics and Computer Science Faculty Research and Publications. 58.
https://epublications.marquette.edu/mscs_fac/58
Comments
Published as part of the proceedings of the conference, CHI '12 Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems, May 2012: 899-908. DOI. © 2012 Association for Computing Machinery.