A Systematic Review of Usefulness Design Goals of Occupational mHealth Apps for Healthcare Workers.

To improve healthcare professionals health and wellbeing at work, many available effective treatments including meditation, and workplace intervention, have been developed. However, the utilisation of these interventions is still limited. Currently, various mobile health applications (mHealth Apps) exist to assist a wide range of users with different occupational health issues, such as stress, anxiety, and burnout. Despite their advantages, post-download uptake of mHealth apps by end-users remains low. Some of the reasons for this are poor usability, irrelevant or missing user-desired features, and poor user experience. This review paper explores the usefulness of mHealth Apps for the early detection of occupational-related ill-health among healthcare workers. To achieve this, we developed a conceptual framework that identifies relevant usability, utility, and user experience design goals that enhance the usefulness of such mHealth apps. This paper initially presents a systematic review of the literature that identifies design goals proven to be relevant or often lacking. The review shows that occupational mHealth apps rarely fit end users’ backgrounds, work contexts, and dynamics. In turn, these identified design goals will be used as assessment points with end-users in subsequent stages of our project. Expected results at the end of the project will provide an enhanced understanding of usefulness design goals that contribute to the long-term use and adoption of these apps.

Content

Author and article information

Contributors

Nurha Yingta

Jose Abdelnour Nocera

Ikram Ur Rehman

Obed Brew

Conference

Publication date: July 2021

Publication date (Print): July 2021

Pages: 214-219

Affiliations

[0001]University of West London

St. Mary’s Road, Ealing, UK

[0002]University of West London

UK and ITI/Larsys, Portugal

Article

DOI: 10.14236/ewic/HCI2021.22

SO-VID: 1970d01a-8858-4cb6-b046-c3797d8176cd

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: 34th British HCI Conference

Conference acronym: HCI2021

Conference number: 34

Conference location: London, UK

Conference date: 20th - 21st July 2021

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Post-pandemic HCI – Living Digitally

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2021.22

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

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Comments

Comment on this article

[1] F. Alqahtani and R. Orji (2019) ‘Usability Issues in Mental Health Applications’, in. ACM, pp. 343–348. doi: 10.1145/3314183.3323676.

[2] A. Alsswey and H. Al-Samarraie (2020) ‘Elderly users’ acceptance of mHealth user interface (UI) design-based culture: the moderator role of age’, Journal on multimodal user interfaces, 14(1), pp. 49–59. doi: 10.1007/s12193-019-00307-w.

[3] B. Aryana, L. Brewster and J. Abdelnour-Nocera (2018) ‘Design for mobile mental health: an exploratory review’. Available at: http://uwl.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlVxLSwMxEB5sT16komK1ylxFWrOvNumtVBevRS97Ckl2FqS1gu3i3-8kqSie7DkhGWZI5pvHNwBZOhLDP39CQqm0jcqdTYRNnJN1qqwjQ03RMMQIuZ1SVousqnxPzf03NcYnzjdvvtw8ar9We3oVW4l81mv7UDAc6UAnE76Z6yVfBAex-uUgyh6c7JEdzqIpTuGI1mcwfgwdEsjQEN8_LD9BjNP0MRIQp2jWSKEPLpS7MVJJzkGUT6_z5yHfo6MUG-1HNP9Iqv2Scbpdai9fdgFdjuTpEjBXTghWmUwMx1VFY5yica0mQtaMA2rqw92_j706YO81HLOfD2Nc08kAutvPlm6Cqm6D2nYJdYWB.

[4] S. Barello, L. Palamenghi and G. Graffigna (2020) ‘Burnout and somatic symptoms among frontline healthcare professionals at the peak of the Italian COVID-19 pandemic’, Psychiatry research, 290, p. 113129. doi:10.1016/j.psychres.2020.113129.

[5] E. Boudreauxet al. (2014) ‘Evaluating and selecting mobile health apps: strategies for healthcare providers and healthcare organizations’, Translational Behavioral Medicine, 4(4), pp. 363–371. doi: 10.1007/s13142-014-0293-9.

[6] C. M. Burnset al. (1997) ‘Towards viable, useful and usable human factors design guidance’, Applied ergonomics, 28(5), pp. 311–322. doi:10.1016/S0003-6870(97)00012-4.

[7] O. Byambasuren, E. Beller and P. Glasziou (2019) ‘Current Knowledge and Adoption of Mobile Health Apps Among Australian General Practitioners: Survey Study’, JMIR mHealth and uHealth, 7(6), pp. e13199–e13199. doi:10.2196/13199.

[8] P. Chandrashekar (2018) ‘Do mental health mobile apps work: evidence and recommendations for designing high-efficacy mental health mobile apps’, mHealth, 4(Journal Article), pp. 6–6. doi:10.21037/mhealth.2018.03.02.

[9] C. Christensen, J. Kjeldskov and K. Rasmussen (2007) ‘GeoHealth: a location-based service for nomadic home healthcare workers’, in. ACM, pp. 273–281. doi: 10.1145/1324892.1324951.

[10] D. A. J. Collins et al. (2020) ‘A Pilot Evaluation of a Smartphone Application for Workplace Depression’, International journal of environmental research and public health, 17(18), p. 6753. doi:10.3390/ijerph17186753.

[11] F. D. Davis (1989) ‘Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology’, MIS quarterly, 13(3), pp. 319–340. doi: 10.2307/249008.

[12] B. E. Diciannoet al. (2015) ‘Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation’, Physical therapy, 95(3), p. 397.

[13] P. Divall, J. Camosso-Stefinovic and R. Baker (2013) ‘The use of personal digital assistants in clinical decision making by health care professionals: A systematic review’, Health informatics journal, 19(1), pp. 16–28. doi:10.1177/1460458212446761.

[14] J. Faraoet al. (2020) ‘A user-centred design framework for mHealth’, PloS one, 15(8), p. e0237910. doi: 10.1371/journal.pone.0237910.

[15] C. Helfet al. (2015) ‘mHealth Stakeholder Integration: A gamification-based Framework-approach towards behavioural change’, in. ACM, pp. 268–274. doi: 10.1145/2837126.2837153.

[16] G. Kinman, K. Teoh and A. Harriss (2020) ‘Supporting the well-being of healthcare workers during and after COVID-19’, Occupational medicine (Oxford, England), 70. doi:10.1093/occmed/kqaa096.

[17] N. K. Lankton and E. V. Wilson (2007) ‘Factors Influencing Expectations of e-Health Services within a Direct-Effects Model of User Satisfaction’, E-service journal, 5(2), pp. 85–112. doi:10.2979/ESJ.2007.5.2.85.

[18] K. Lapin (2014) ‘Deriving Usability Goals for Mobile Applications’, in. ACM, pp. 1–6. doi:10.1145/2643572.2643576.

[19] M. S. Liewet al. (2019) ‘Usability Challenges for Health and Wellness Mobile Apps: Mixed-Methods Study Among mHealth Experts and Consumers’, JMIR mHealth and uHealth, 7(1), p. e12160. doi:10.2196/12160.

[20] N. Liuet al. (2020) ‘Prevalence and predictors of PTSS during COVID-19 outbreak in China hardest-hit areas: Gender differences matter’, Psychiatry research, 287, p. 112921. doi:10.1016/j.psychres.2020.112921.

[21] C. MacDonald and M. Atwood (2014) ‘What does it mean for a system to be useful?: an exploratory study of usefulness’, in. ACM, pp. 885–894. doi:10.1145/2598510.2598600.

[22] S. Mburu, E. Franz and T. Springer (2013) ‘A conceptual framework for designing mHealth solutions for developing countries’, in. ACM, pp. 31–36. doi: 10.1145/2491148.2491154.

[23] J. Nielsen (1994) ‘Usability inspection methods’, in Conference companion on Human factors in computing systems, pp. 413–414.

[24] J. A. Nocera, L. Dunckley and H. Sharp (2007) ‘An Approach to the Evaluation of Usefulness as a Social Construct Using Technological Frames’, International journal of human-computer interaction, 22(1–2), pp. 153–172. doi:10.1207/s15327590ijhc2201-02_8.

[25] W. Odendaalet al. (2015) ‘Healthcare workers’ perceptions and experiences on using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis’, Cochrane database of systematic reviews, 2015(11). doi:10.1002/14651858.CD011942.

[26] N. Peeveret al. (2017) ‘Understanding initial experiences with Mindmax, an mHealth app that draws on shared interests in sports and video games’, in. ACM, pp. 438–442. doi:10.1145/3152771.3156152.

[27] A. L. Russ and J. J. Saleem (2018) ‘Ten factors to consider when developing usability scenarios and tasks for health information technology’, Journal of Biomedical Informatics, 78, pp. 123–133. doi:10.1016/j.jbi.2018.01.001.

[28] R. Schnall et al. (2016) ‘A user-centered model for designing consumer mobile health (mHealth) applications (apps)’, Journal of biomedical informatics, 60(Journal Article), pp. 243–251. doi:10.1016/j.jbi.2016.02.002.

[29] S. Sittiget al. (2020) ‘Characteristics of and Factors Influencing College Nursing Students’ Willingness to Utilize mHealth for Health Promotion’, Computers, informatics, nursing : CIN, 38(5), pp. 246–255. doi:10.1097/CIN.0000000000000600.

[30] J. Torouset al. (2018) ‘Clinical review of user engagement with mental health smartphone apps: evidence, theory and improvements’, Evidence-based mental health, 21(3), pp. 116–119.

[31] I. Vaghefi and B. Tulu (2019) ‘The Continued Use of Mobile Health Apps: Insights From a Longitudinal Study’, JMIR mHealth and uHealth, 7(8), pp. e12983–e12983. doi: 10.2196/12983.

[32] C. L. Ventola (2014) ‘Mobile devices and apps for health care professionals: uses and benefits’, P&T (Lawrenceville, N.J.), 39(5), pp. 356–364.

[33] P.-Y. Yen and S. Bakken (2012) ‘Review of health information technology usability study methodologies’, Journal of the American Medical Informatics Association : JAMIA, 19(3), pp. 413–422. doi: 10.1136/amiajnl-2010-000020.

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