Cargando…
Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study
BACKGROUND: A recent trend in personal health and wellness management is the development of computerized applications or information and communication technologies (ICTs) that support behavioral change, aid the management of chronic conditions, or help an individual manage their wellness and engage...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications Inc.
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3668619/ https://www.ncbi.nlm.nih.gov/pubmed/23900035 http://dx.doi.org/10.2196/jmir.2124 |
_version_ | 1782271645558243328 |
---|---|
author | Kutz, Daniel Shankar, Kalpana Connelly, Kay |
author_facet | Kutz, Daniel Shankar, Kalpana Connelly, Kay |
author_sort | Kutz, Daniel |
collection | PubMed |
description | BACKGROUND: A recent trend in personal health and wellness management is the development of computerized applications or information and communication technologies (ICTs) that support behavioral change, aid the management of chronic conditions, or help an individual manage their wellness and engage in a healthier lifestyle. OBJECTIVE: To understand how individuals across 3 generations (young, middle-aged, and older) think about the design and use of collaborative health and wellness management technologies and what roles these could take in their lives. METHODS: Face-to-face semistructured interviews, paper prototype systems, and video skits were used to assess how individuals from 3 age cohorts (young: 18-25 years; middle-aged: 35-50 years; and older: ≥65 years) conceptualize the role that health and wellness computing could take in their lives. RESULTS: A total of 21 participants in the 3 age cohorts took part (young: n=7; middle-aged: n=7; and older: n=7). Young adults expected to be able to actively manage the presentation of their health-related information. Middle-aged adults had more nuanced expectations that reflect their engagement with work and other life activities. Older adults questioned the sharing of health information with a larger audience, although they saw the value in 1-way sharing between family members or providing aggregated information. CONCLUSIONS: Our findings inform our suggestions for improving the design of future collaborative health and wellness applications that target specific age groups. We recommend that collaborative ICT health applications targeting young adults should integrate with existing social networking sites, whereas those targeting middle-aged and older adults should support small social networks that rely on intimate personal relationships. Systems that target middle-aged adults should support episodic needs, such as time-sensitive, perhaps intermittent, goal setting. They should also have a low barrier to entry, allowing individuals who do not normally engage with the Internet to participate with the application for the specific purposes of health engagement. Collaborative ICT health applications targeting older adults should allow discreet 1-way sharing, and also support sharing of information in aggregate with others’ data. These systems should also provide mechanisms to preselect recipients of different kinds of data, or to easily direct specific information to individuals in real time. |
format | Online Article Text |
id | pubmed-3668619 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | JMIR Publications Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-36686192013-06-03 Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study Kutz, Daniel Shankar, Kalpana Connelly, Kay J Med Internet Res Original Paper BACKGROUND: A recent trend in personal health and wellness management is the development of computerized applications or information and communication technologies (ICTs) that support behavioral change, aid the management of chronic conditions, or help an individual manage their wellness and engage in a healthier lifestyle. OBJECTIVE: To understand how individuals across 3 generations (young, middle-aged, and older) think about the design and use of collaborative health and wellness management technologies and what roles these could take in their lives. METHODS: Face-to-face semistructured interviews, paper prototype systems, and video skits were used to assess how individuals from 3 age cohorts (young: 18-25 years; middle-aged: 35-50 years; and older: ≥65 years) conceptualize the role that health and wellness computing could take in their lives. RESULTS: A total of 21 participants in the 3 age cohorts took part (young: n=7; middle-aged: n=7; and older: n=7). Young adults expected to be able to actively manage the presentation of their health-related information. Middle-aged adults had more nuanced expectations that reflect their engagement with work and other life activities. Older adults questioned the sharing of health information with a larger audience, although they saw the value in 1-way sharing between family members or providing aggregated information. CONCLUSIONS: Our findings inform our suggestions for improving the design of future collaborative health and wellness applications that target specific age groups. We recommend that collaborative ICT health applications targeting young adults should integrate with existing social networking sites, whereas those targeting middle-aged and older adults should support small social networks that rely on intimate personal relationships. Systems that target middle-aged adults should support episodic needs, such as time-sensitive, perhaps intermittent, goal setting. They should also have a low barrier to entry, allowing individuals who do not normally engage with the Internet to participate with the application for the specific purposes of health engagement. Collaborative ICT health applications targeting older adults should allow discreet 1-way sharing, and also support sharing of information in aggregate with others’ data. These systems should also provide mechanisms to preselect recipients of different kinds of data, or to easily direct specific information to individuals in real time. JMIR Publications Inc. 2013-05-14 /pmc/articles/PMC3668619/ /pubmed/23900035 http://dx.doi.org/10.2196/jmir.2124 Text en ©Daniel Kutz, Kalpana Shankar, Kay Connelly. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 14.05.2013. http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Kutz, Daniel Shankar, Kalpana Connelly, Kay Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study |
title | Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study |
title_full | Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study |
title_fullStr | Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study |
title_full_unstemmed | Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study |
title_short | Making Sense of Mobile- and Web-Based Wellness Information Technology: Cross-Generational Study |
title_sort | making sense of mobile- and web-based wellness information technology: cross-generational study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3668619/ https://www.ncbi.nlm.nih.gov/pubmed/23900035 http://dx.doi.org/10.2196/jmir.2124 |
work_keys_str_mv | AT kutzdaniel makingsenseofmobileandwebbasedwellnessinformationtechnologycrossgenerationalstudy AT shankarkalpana makingsenseofmobileandwebbasedwellnessinformationtechnologycrossgenerationalstudy AT connellykay makingsenseofmobileandwebbasedwellnessinformationtechnologycrossgenerationalstudy |