%0 Journal Article
%@ 2561-7605
%I JMIR Publications
%V 1
%N 2
%P e10763
%T Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis
%A Liu,Darren
%A Yamashita,Takashi
%A Burston,Betty
%+ Department of Public Health, College of Health Sciences, Des Moines University, 3200 Grand Avenue, Des Moines, IA, 50312, United States, 1 515 271 7830, darren.liu@outlook.com
%K internet
%K information seeking behavior
%K consumer health information
%K marketing of health services
%K public reporting
%D 2018
%7 02.11.2018
%9 Original Paper
%J JMIR Aging
%G English
%X Background: Because the internet has become a primary means of communication in the long-term care (LTC) and health care industry, an elevated understanding of market segmentation among LTC consumers is an indispensable step to responding to the informational needs of consumers. Objective: This exploratory study was designed to identify underlying market segments of the LTC consumers who seek Web-based information. Methods: Data on US adult internet users (n=2018) were derived from 2010 Pew Internet and America Life Project. Latent class analysis was employed to identify underlying market segments of LTC Web-based information seekers. Results: Web-based LTC information seekers were classified into the following 2 subgroups: heavy and light Web-based information seekers. Overall, 1 in 4 heavy Web-based information seekers used the internet for LTC information, whereas only 2% of the light information seekers did so. The heavy information seekers were also significantly more likely than light users to search the internet for all other health information, such as a specific disease and treatment and medical facilities. The heavy Web-based information seekers were more likely to be younger, female, highly educated, chronic disease patients, caregivers, and frequent internet users in general than the light Web-based information seekers. Conclusions: To effectively communicate with their consumers, providers who target Web-based LTC information seekers can more carefully align their informational offerings with the specific needs of each subsegment of LTC markets. 
%M 31518237
%R 10.2196/10763
%U https://aging.jmir.org/2018/2/e10763/
%U https://doi.org/10.2196/10763
%U http://www.ncbi.nlm.nih.gov/pubmed/31518237