Ambulatory Assessment of Mental Health and Well-being using an Experience Sampling Methodology: Pipeline

Jaymar Soriano, Alyanna Gacutan, Martina Casiano, Jeanne Magpantay, Allure Tanquintic, Gina Tongco-Rosario, Grazianne-Geneve Mendoza, Christie Sio

Abstract

Mental health disorders are prevalent in our society today as they affect one in four people all over the world, according to the World Health Organization. This necessitates a proactive method of mental health assessment. Clinical assessments and paper-and-pen reporting are usually done through retrospective reports, which are subject to memory bias. With the advancement in technology and smartphones becoming an inherent and integral part of day-to-day life, ambulatory assessment of mental health and well-being would be greatly improved. In this study, we analyze different methods of mental health assessment, their respective benefits and drawbacks, and from which we propose a pipeline based on Experience Sampling Methodology (ESM). The pipeline is composed of a web application for therapists and a mobile application for patients. The therapist creates ESM-based assessments to their patients using the web application that communicates with the mobile application through an application programming interface. This pipeline aims to overcome retrospective biases in assessing the patient’s mental health and well-being by using more reliable behavioural patterns from the data. Sophisticated data encryption may be utilized to ensure patient-therapist confidentiality. The same system is also designed to be used by psychologists to send ESM-based surveys to their intended participants and perform statistical analysis from the respondents’ data, allowing improved data security for the respondents. With this capability, generation of data would be faster and safer, and more research can be done to improve and accelerate analysis and diagnosis of mental health and well-being.

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Paper Citation


in Harvard Style

Soriano J., Gacutan A., Casiano M., Magpantay J., Tanquintic A., Tongco-Rosario G., Mendoza G. and Sio C. (2021). Ambulatory Assessment of Mental Health and Well-being using an Experience Sampling Methodology: Pipeline.In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF, ISBN 978-989-758-490-9, pages 533-540. DOI: 10.5220/0010271405330540


in Bibtex Style

@conference{healthinf21,
author={Jaymar Soriano and Alyanna Gacutan and Martina Casiano and Jeanne Magpantay and Allure Tanquintic and Gina Tongco-Rosario and Grazianne-Geneve Mendoza and Christie Sio},
title={Ambulatory Assessment of Mental Health and Well-being using an Experience Sampling Methodology: Pipeline},
booktitle={Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF,},
year={2021},
pages={533-540},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010271405330540},
isbn={978-989-758-490-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: HEALTHINF,
TI - Ambulatory Assessment of Mental Health and Well-being using an Experience Sampling Methodology: Pipeline
SN - 978-989-758-490-9
AU - Soriano J.
AU - Gacutan A.
AU - Casiano M.
AU - Magpantay J.
AU - Tanquintic A.
AU - Tongco-Rosario G.
AU - Mendoza G.
AU - Sio C.
PY - 2021
SP - 533
EP - 540
DO - 10.5220/0010271405330540