The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Demographic Differences in Telehealth Policy Outcomes
Abstract
This chapter is an analysis of demographic variables influencing policy outcomes with online health information searches in the general U.S. public. This study is based on The Internet and American Life Daily Tracking Survey, August 2006 from the Pew Research Center for the People and the Press. Multivariate regression statistical technique is used to explore changes in individual level behavior following the search for online medical information. The data show individuals in most need of healthcare services (poor, less educated, and minority groups) and those with a recent demand for services, are more likely to make changes to improve their health after accessing online medical information.
Related Content
|
Saloua Mabsor-Zgandaoui, Khawla Rachmoune, Ilham Aftais, Fatima Ezzahra Elamrani, Imade Amradi, Adil El Housseini, Youssef Ait Hamdan, Youness Zgandaoui, Abdelghani Iddar, Mohammed El Mzibri, Adnane Moutaouakkil, Aboubaker El Hessni, Abdelhalim Mesfioui.
© 2026.
30 pages.
|
|
Yusuf Olatunji Waidi.
© 2026.
20 pages.
|
|
Ajinkya Nene, Sorour Sadeghzade, Wenjie Yang, Prakash Somani.
© 2026.
12 pages.
|
|
Seyyed Mohammad Amin Mousavi-Sagharchi, Mahdieh Ranjbar-Jamalabadi, Sama Yavari, Elina Afrazeh, Naresh Poondla, Mohsen Sheykhhasan.
© 2026.
32 pages.
|
|
Wenqiang Xie, Yuan Su, Ruiqi Zhang, Sijia Li, Jia Ni, Longquan Shao.
© 2026.
18 pages.
|
|
Zhengao Wang, Huiyu Zhao, Yao Han, Wuyi Zhou, Chengyun Ning.
© 2026.
30 pages.
|
|
Navya Aggarwal, Shinjini Sen, Tanmay J. Urs, Shreya Gupta, Banashree Bondhopadhyay.
© 2026.
36 pages.
|
|
|