Analysing Healthcare App Satisfaction: Predictive Analytics Using Stepwise Regression to Identify Key Factors

Arun Mittal, Nirmal Singh, D. D. Chaturvedi, Priyank Kumar Singh

2023

Abstract

Healthcare applications have become essential tools for individuals seeking diverse health-related services. These applications span from tracking fitness and reminding users to take medication to provide telemedicine services. Their importance has been highlighted, particularly during the COVID-19 pandemic, where these apps played a vital role in improving user satisfaction with public health management. A contented user is more inclined to consistently interact with the app, follow prescribed treatment plans, and promote its use among their circle of friends and family. The researcher considered 297 healthcare app users to conduct the study survey and know the different factors that determine Customers' Satisfaction with Healthcare Apps usage and the impact of different factors determining healthcare app usage on customers' satisfaction. The study concludes that providing intuitive guidance, Value for money, saving time, user-friendly interfaces, and Privacy protection have a significant impact on customers' satisfaction with healthcare apps usage.

Paper Citation

in Harvard Style

Mittal A., Singh N., Chaturvedi D. and Singh P. (2023). Analysing Healthcare App Satisfaction: Predictive Analytics Using Stepwise Regression to Identify Key Factors. In Proceedings of the 2nd Pamir Transboundary Conference for Sustainable Societies - Volume 1: PAMIR-2; ISBN 978-989-758-723-8, SciTePress, pages 514-518. DOI: 10.5220/0012874200003882

in Bibtex Style

@conference{pamir-223,
author={Arun Mittal and Nirmal Singh and D. Chaturvedi and Priyank Singh},
title={Analysing Healthcare App Satisfaction: Predictive Analytics Using Stepwise Regression to Identify Key Factors},
booktitle={Proceedings of the 2nd Pamir Transboundary Conference for Sustainable Societies - Volume 1: PAMIR-2},
year={2023},
pages={514-518},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012874200003882},
isbn={978-989-758-723-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd Pamir Transboundary Conference for Sustainable Societies - Volume 1: PAMIR-2
TI - Analysing Healthcare App Satisfaction: Predictive Analytics Using Stepwise Regression to Identify Key Factors
SN - 978-989-758-723-8
AU - Mittal A.
AU - Singh N.
AU - Chaturvedi D.
AU - Singh P.
PY - 2023
SP - 514
EP - 518
DO - 10.5220/0012874200003882
PB - SciTePress