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      What can we learn from second generation digital natives? A qualitative study of undergraduates’ views of digital health at one London university

      research-article
      ,  
      Digital Health
      SAGE Publications
      Students, Internet, telemedicine, delivery of healthcare, information systems

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          Abstract

          Objectives

          We live in a digital age and opportunities within healthcare are increasing, ranging from patient portals to wearable devices. Today’s undergraduates are second generation digital natives and are at a critical point of becoming more autonomous in their healthcare interactions. This study aims to understand their experiences of both digital and broader healthcare. This will enable a better understanding of implications for national policy, individual healthcare organisations and further research.

          Methods

          Undergraduates aged 18–21 participated in individual interviews or focus groups. Inductive thematic analysis was undertaken. Negative member checking and feedback on emerging themes from both participants and experts were used to increase the validity of the study.

          Results

          Twenty-four undergraduates participated in the study, including a high proportion of international students. Thematic analysis revealed 16 themes. Six key themes explored in this paper are: generation gap; impact on healthcare professionals (HCPs); use of technology to replace or enhance HCP interactions; use of technology to support administration/transactional activities; paper vs electronic; and personally held health and fitness data.

          Conclusion

          This paper highlights recommendations for the undergraduate cohort and wider populations including better articulation of benefits, making digital options more personalised and interactive, and raising awareness of dangerous ‘obsessive’ behaviour around health and fitness apps. Some of our findings challenge the assumption that this generation will automatically accept digital initiatives, including the importance this cohort continues to place on face-to-face interactions. In response, we offer some suggestions to improve awareness, utilisation and acceptance of digital health.

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          Most cited references19

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          Analysing and presenting qualitative data.

          This paper provides a pragmatic approach to analysing qualitative data, using actual data from a qualitative dental public health study for demonstration purposes. The paper also critically explores how computers can be used to facilitate this process, the debate about the verification (validation) of qualitative analyses and how to write up and present qualitative research studies.
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            Emerging Patient-Driven Health Care Models: An Examination of Health Social Networks, Consumer Personalized Medicine and Quantified Self-Tracking

            A new class of patient-driven health care services is emerging to supplement and extend traditional health care delivery models and empower patient self-care. Patient-driven health care can be characterized as having an increased level of information flow, transparency, customization, collaboration and patient choice and responsibility-taking, as well as quantitative, predictive and preventive aspects. The potential exists to both improve traditional health care systems and expand the concept of health care though new services. This paper examines three categories of novel health services: health social networks, consumer personalized medicine and quantified self-tracking.
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              Supporting thinking on sample sizes for thematic analyses: a quantitative tool

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                Author and article information

                Journal
                Digit Health
                Digit Health
                DHJ
                spdhj
                Digital Health
                SAGE Publications (Sage UK: London, England )
                2055-2076
                19 July 2018
                Jan-Dec 2018
                : 4
                : 2055207618788156
                Affiliations
                [1-2055207618788156]Institute of Health Informatics, University College London, UK
                Author notes
                [*]Aasha E Cowey, UCL Institute of Health Informatics, University College London, 222 Euston Road, London, NW1 2DA, UK. Email: Aasha.Cowey.13@ 123456alumni.ucl.ac.uk Twitter: @AashaCowey; @HWWPotts
                Author information
                http://orcid.org/0000-0002-6200-8804
                Article
                10.1177_2055207618788156
                10.1177/2055207618788156
                6055101
                30046453
                2e6c4021-40a3-494a-9c38-bb216aa1e91a
                © The Author(s) 2018

                Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 1 August 2017
                : 8 June 2018
                Categories
                Original Research
                Custom metadata
                January-December 2018

                students,internet,telemedicine,delivery of healthcare,information systems

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