Literature DB >> 33346732

Integrating Key User Characteristics in User-Centered Design of Digital Support Systems for Seniors' Physical Activity Interventions to Prevent Falls: Protocol for a Usability Study.

Åsa Revenäs1,2, Ann-Christin Johansson2, Maria Ehn3.   

Abstract

BACKGROUND: The goal of user-centered design (UCD) is to understand the users' perspective and to use that knowledge to shape more effective solutions. The UCD approach provides insight into users' needs and requirements and thereby improves the design of the developed services. However, involving users in the development process does not guarantee that feedback from different subgroups of users will shape the development in ways that will make the solutions more useful for the entire target user population.
OBJECTIVE: The aim of this study was to describe a protocol for systematic analysis and prioritization of feedback from user subgroups in the usability testing of a digital motivation support for fall-preventive physical activity (PA) interventions in seniors (aged 65 years and older). This protocol can help researchers and developers to systematically exploit feedback from relevant user subgroups in UCD.
METHODS: Gender, PA level, and level of technology experience have been identified in the literature to influence users' experience and use of digital support systems for fall-preventive PA interventions in seniors. These 3 key user characteristics were dichotomized and used to define 8 (ie, 23) possible user subgroups. The presented method enables systematic tracking of the user subgroups' contributions in iterative development. The method comprises (1) compilation of difficulties and deficiencies in the digital applications identified in usability testing, (2) clustering of the identified difficulties and deficiencies, and (3) prioritization of deficiencies to be rectified. Tracking user subgroup representation in the user feedback ensures that the development process is prioritized according to the needs of different subgroups. Mainly qualitative data collection methods are used.
RESULTS: A protocol was developed to ensure that feedback from users representing all possible variants of 3 selected key user characteristics (gender, PA level, and level of technology experience) is considered in the iterative usability testing of a digital support for seniors' PA. The method was applied in iterative usability testing of two digital applications during spring/summer 2018. Results from the study on the users' experiences and the iterative modification of the digital applications are expected to be published during 2021.
CONCLUSIONS: Methods for systematic collection, analysis, and prioritization of feedback from user subgroups might be particularly important in heterogenous user groups (eg, seniors). This study can contribute to identifying and improving the understanding of potential differences between user subgroups of seniors in their use and experiences of digital support for fall-preventive PA interventions. This knowledge may be relevant for developing digital support systems that are appropriate, useful, and attractive to users and for enabling the design of digital support systems that target specific user subgroups (ie, tailoring of the support). The protocol needs to be further used and investigated in order to validate its potential value. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/20061. ©Åsa Revenäs, Ann-Christin Johansson, Maria Ehn. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 21.12.2020.

Entities:  

Keywords:  eHealth; exercise; gender; internet-based interventions; mobile health; older adults; physical activity; user feedback; user involvement; user-centered design

Year:  2020        PMID: 33346732      PMCID: PMC7781794          DOI: 10.2196/20061

Source DB:  PubMed          Journal:  JMIR Res Protoc        ISSN: 1929-0748


  18 in total

Review 1.  Benefits of and barriers to involving users in medical device technology development and evaluation.

Authors:  Syed Ghulam Sarwar Shah; Ian Robinson
Journal:  Int J Technol Assess Health Care       Date:  2007       Impact factor: 2.188

2.  Risk factors for restriction in activity associated with fear of falling among seniors within the community.

Authors:  Paula C Fletcher; Dawn M Guthrie; Katherine Berg; John P Hirdes
Journal:  J Patient Saf       Date:  2010-09       Impact factor: 2.844

3.  How Can eHealth Technology Address Challenges Related to Multimorbidity? Perspectives from Patients with Multiple Chronic Conditions.

Authors:  Donna M Zulman; Emily C Jenchura; Danielle M Cohen; Eleanor T Lewis; Thomas K Houston; Steven M Asch
Journal:  J Gen Intern Med       Date:  2015-02-18       Impact factor: 5.128

4.  Risk factors for serious injury during falls by older persons in the community.

Authors:  M E Tinetti; J Doucette; E Claus; R Marottoli
Journal:  J Am Geriatr Soc       Date:  1995-11       Impact factor: 5.562

Review 5.  Involvement of older people in the development of fall detection systems: a scoping review.

Authors:  Friederike J S Thilo; Barbara Hürlimann; Sabine Hahn; Selina Bilger; Jos M G A Schols; Ruud J G Halfens
Journal:  BMC Geriatr       Date:  2016-02-11       Impact factor: 3.921

6.  Diversity in Older Adults' Use of the Internet: Identifying Subgroups Through Latent Class Analysis.

Authors:  Leonieke C van Boekel; Sebastiaan Tm Peek; Katrien G Luijkx
Journal:  J Med Internet Res       Date:  2017-05-24       Impact factor: 5.428

7.  Using eHealth Technologies: Interests, Preferences, and Concerns of Older Adults.

Authors:  Patrick Ware; Susan J Bartlett; Guy Paré; Iphigenia Symeonidis; Cara Tannenbaum; Gillian Bartlett; Lise Poissant; Sara Ahmed
Journal:  Interact J Med Res       Date:  2017-03-23

Review 8.  Physical activity in older people: a systematic review.

Authors:  Fei Sun; Ian J Norman; Alison E While
Journal:  BMC Public Health       Date:  2013-05-06       Impact factor: 3.295

9.  The digital divide among low-income homebound older adults: Internet use patterns, eHealth literacy, and attitudes toward computer/Internet use.

Authors:  Namkee G Choi; Diana M Dinitto
Journal:  J Med Internet Res       Date:  2013-05-02       Impact factor: 5.428

Review 10.  Effectiveness and cost-effectiveness of ehealth interventions in somatic diseases: a systematic review of systematic reviews and meta-analyses.

Authors:  Niels J Elbert; Harmieke van Os-Medendorp; Wilco van Renselaar; Anne G Ekeland; Leona Hakkaart-van Roijen; Hein Raat; Tamar E C Nijsten; Suzanne G M A Pasmans
Journal:  J Med Internet Res       Date:  2014-04-16       Impact factor: 5.428

View more
  1 in total

Review 1.  The use of co-design in developing physical activity interventions for older adults: a scoping review.

Authors:  Natalie Constantin; Holly Edward; Hayley Ng; Anna Radisic; Amy Yule; Alina D'Asti; Cassandra D'Amore; Julie C Reid; Marla Beauchamp
Journal:  BMC Geriatr       Date:  2022-08-08       Impact factor: 4.070

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.