title: Making sense of mobile- and web-based wellness information technology: cross-generational study.
abstract: 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.
authors.affiliation: School of Library and Information Science, Indiana University, Bloomington, IN 47405, United States. dokutz@indiana.edu
authors.forename: Daniel
authors.initials: D
authors.lastname: Kutz
authors.forename: Kalpana
authors.initials: K
authors.lastname: Shankar
authors.forename: Kay
authors.initials: K
authors.lastname: Connelly
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D015331:Cohort Studies; D005260:Female; D006293:Health Promotion / Q000458:organization & administration*; D006801:Humans; D016901:Intergenerational Relations; D020407:Internet; D008297:Male; D008875:Middle Aged; D055815:Young Adult
keywords: design; generational differences; health promotion; human-computer interaction; ubiquitous computing; wellness
references.citation: Science. 1988 Jul 29;241(4865):540-5
references.pmid: 3399889
references.citation: J Med Internet Res. 2006;8(4):e29
references.pmid: 17236264
references.citation: Perspect Psychol Sci. 2009 Jul;4(4):375-8
references.pmid: 20161087
references.citation: J Med Internet Res. 2007 Sep 30;9(3):e26
references.pmid: 17942388
references.citation: J Med Internet Res. 2010 Jul 29;12(3):e30
references.pmid: 20675293
references.citation: Am J Prev Med. 2000 Aug;19(2):121-6
references.pmid: 10913903
references.citation: Arch Pediatr Adolesc Med. 2007 Jan;161(1):105-7
references.pmid: 17199076
references.citation: J Med Internet Res. 2012 Jun 13;14(3):e87
references.pmid: 22695686
references.citation: J Med Internet Res. 2011 Jul 13;13(3):e48
references.pmid: 21749967
references.citation: J Med Internet Res. 2008 May 27;10(3):e15
references.pmid: 18504244
references.citation: Methods Inf Med. 2008;47(1):76-81
references.pmid: 18213432
references.citation: J Med Internet Res. 2008 May 15;10(2):e13
references.pmid: 18487137
references.citation: J Med Internet Res. 2011 Apr 29;13(2):e35
references.pmid: 21531690
references.citation: J Med Syst. 2011 Oct;35(5):1181-95
references.pmid: 22038195
references.citation: J Med Internet Res. 2011 Jun 29;13(2):e44
references.pmid: 21715286
references.citation: J Med Internet Res. 2011 Feb 16;13(1):e19
references.pmid: 21324832
references.citation: J Med Internet Res. 2012 Apr 20;14(2):e55
references.pmid: 22522112
references.citation: Comput Inform Nurs. 2004 Nov-Dec;22(6):326-34; quiz 335-6
references.pmid: 15602301
references.citation: Health Educ Res. 2009 Aug;24(4):699-720
references.pmid: 19286893
references.citation: J Med Internet Res. 2009 Oct 27;11(4):e44
references.pmid: 19861298
references.citation: Am J Prev Med. 2000 Aug;19(2):111-2
references.pmid: 10913901
references.citation: J Med Internet Res. 2009 Nov 16;11(4):e45
references.pmid: 19917549