Cargando…
Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis
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 expl...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715101/ https://www.ncbi.nlm.nih.gov/pubmed/31518237 http://dx.doi.org/10.2196/10763 |
_version_ | 1783447181892517888 |
---|---|
author | Liu, Darren Yamashita, Takashi Burston, Betty |
author_facet | Liu, Darren Yamashita, Takashi Burston, Betty |
author_sort | Liu, Darren |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6715101 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-67151012019-09-17 Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis Liu, Darren Yamashita, Takashi Burston, Betty JMIR Aging Original Paper 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. JMIR Publications 2018-11-02 /pmc/articles/PMC6715101/ /pubmed/31518237 http://dx.doi.org/10.2196/10763 Text en ©Darren Liu, Takashi Yamashita, Betty Burston. Originally published in JMIR Aging (http://aging.jmir.org), 02.11.2018. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Aging, is properly cited. The complete bibliographic information, a link to the original publication on http://aging.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Liu, Darren Yamashita, Takashi Burston, Betty Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis |
title | Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis |
title_full | Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis |
title_fullStr | Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis |
title_full_unstemmed | Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis |
title_short | Identifying Consumers Who Search for Long-Term Care on the Web: Latent Class Analysis |
title_sort | identifying consumers who search for long-term care on the web: latent class analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6715101/ https://www.ncbi.nlm.nih.gov/pubmed/31518237 http://dx.doi.org/10.2196/10763 |
work_keys_str_mv | AT liudarren identifyingconsumerswhosearchforlongtermcareontheweblatentclassanalysis AT yamashitatakashi identifyingconsumerswhosearchforlongtermcareontheweblatentclassanalysis AT burstonbetty identifyingconsumerswhosearchforlongtermcareontheweblatentclassanalysis |