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Accepted for/Published in: JMIR Aging

Date Submitted: Apr 12, 2018
Open Peer Review Period: Apr 13, 2018 - Jun 20, 2018
Date Accepted: Sep 5, 2018
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis

Liu D, Yamashita T, Burston B

Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis

JMIR Aging 2018;1(2):e10763

DOI: 10.2196/10763

PMID: 31518237

PMCID: 6715101

Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis

  • Darren Liu; 
  • Takashi Yamashita; 
  • Betty Burston

ABSTRACT

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.


 Citation

Please cite as:

Liu D, Yamashita T, Burston B

Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis

JMIR Aging 2018;1(2):e10763

DOI: 10.2196/10763

PMID: 31518237

PMCID: 6715101

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