IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

An Empirical Note on Health Vulnerability and Health Information Digital Divide: A Study of Indian Patients

An Empirical Note on Health Vulnerability and Health Information Digital Divide: A Study of Indian Patients
View Sample PDF
Author(s): Jaya Rani (Sikkim Manipal University, India), Ajeya Jha (Sikkim Manipal University, India), Jitendra Kumar (Sikkim Manipal University, India), Samrat Kumar Mukherjee (Sikkim Manipal University, India) and Saibal Kumar Saha (Sikkim Manipal University, India)
Copyright: 2020
Pages: 23
Source title: Handbook of Research on Managerial Practices and Disruptive Innovation in Asia
Source Author(s)/Editor(s): Patricia OrdoƱez de Pablos (University of Oviedo, Spain), Xi Zhang (Tianjin University, China) and Kwok Tai Chui (The Open University of Hong Kong, Hong Kong)
DOI: 10.4018/978-1-7998-0357-7.ch002

Purchase

View An Empirical Note on Health Vulnerability and Health Information Digital Divide: A Study of Indian Patients on the publisher's website for pricing and purchasing information.

Abstract

Availability of healthcare information on the Internet has made it possible for patients or their relatives to search for such information. Considering the delicate nature of such information as well as its great need felt by the society, it is important to know who are these people who actively search for online healthcare information and also those who are unable to do so. In all, 754 respondents participated in the survey. The variables selected from literature survey and exploratory study are Health Information Digital Divide, Income, Having E-mail id, access to Internet, geographical location, Education, family-type, age, and gender. As the data is categorical, the significance of difference has been calculated using Chi-square test. Later discriminant analysis was conducted to predict patients who make online health information searches and the ones who do not. Using discriminant analysis, 94.5 percent of patients who make online health information searches could be correctly predicted. Prediction is 99.7% for the patients who do not indulge in online health information search.

Related Content

Sajjad Nawaz Khan, Hafiz Mudassir Rehman, Mudaser Javaid. © 2022. 21 pages.
Seong-Yuen Toh. © 2022. 35 pages.
Paula Cristina Nunes Figueiredo. © 2022. 33 pages.
Deirdre M. Conway. © 2022. 24 pages.
Sriya Chakravarti. © 2022. 21 pages.
Adekunle Theophilius Tinuoye, Sylvanus Simon Adamade, Victor Ikechukwu Ogharanduku. © 2022. 26 pages.
Paula Figueiredo, Cristina Nogueira da Fonseca. © 2022. 36 pages.
Body Bottom