printDigital Health:
Deborah Lupton’s Concept “Thinking with Care”
Vershinina I.A.
Dr. Sci. (Sociol.), Assoc. Prof., Assoc. Prof. of Department of Contemporary Sociology of the Faculty of Sociology, Lomonosov Moscow State University, Moscow, Russia urbansociology@yandex.ru
Liadova A.V.
Cand. Sci. (Sociol.), Assoc. Prof., Department of Contemporary Sociology of the Faculty of Sociology, Lomonosov Moscow State University, Moscow, Russia. annaslm@mail.ru
Vershinina I.A., Liadova A.V. Digital Health: Deborah Lupton’s Concept “Thinking with Care”. Sotsiologicheskie issledovaniya [Sociological Studies]. 2022. No 4. P. 105-113
The article discusses the digitalization of healthcare paying special attention to the concept of Australian sociologist Deborah Lupton. Health is one of the key areas for digitalization, where the benefits of using big data are obvious. New technologies are often а basis for modernizing national health systems for they make possible to ensure availability of various medical services for different groups of population. Lupton analyzes both the benefits and risks of digitalization in this area, thereby highlighting ambivalent character of the ongoing changes. She believes that it is necessary to recognize the interaction not only between people, but also between people and digital technologies. These new relationships form a new social reality. The Australian sociologist focuses her attention on new opportunities due to digitalization which can improve people’s lives. From her point of view, the “concept of fear” still dominant in social research of digital technologies should be replaced by the concept of “thinking with care”, according to which the data obtained as a result of using new technologies can and should be used for the benefit of humanity. Lupton demonstrates that digital data can help reorganize health care system and change patterns in people’s behavior related to their health, in particular, through the ability to regularly monitor indicators of one’s condition.
Вершинина И.А., Лядова А.В. Данные в цифровом мире: новые возможности или дополнительные риски? // Вестник Российского университета дружбы народов. Серия: Социология. 2020. № 4. С. 977–984. [Vershinina I.A., Liadova A.V. (2020) Data in the digital world: New opportunities or additional risks? Vestnik RUDN. Seriya: Sociologiya [RUDN Journal of Sociology]. Vol. 20. No. 4: 977–984. (In Russ.)] DOI: 10.22363/2313-2272-2020-20-4-977-984.
Вершинина И.А., Лядова А.В. Здоровье и здравоохранение в Европе: между неравенством и новыми возможностями // Социологические исследования. 2021. № 6. С. 160–162. [Vershinina I.A., Liadova A.V. (2021) Health and health care in Europe: Between inequalities and new opportunities. Sotsiologicheskie issledovaniya [Sociological Studies]. No. 6: 160–162. (In Russ.)] DOI: 10.31857/ S013216250014122-7.
Добринская Д.Е. Цифровое общество в социологической перспективе. Вестник Московского университета. Серия 18. Социология и политология. 2019. Т. 25. № 4. С. 175–192. [Dobrinskaya D.E. (2019) Digital society: sociological perspective. Vestnik Moskovskogo universiteta. Seriya 18. Sociologiya i politologiya [Moscow State University Bulletin. Series 18. Sociology and Political Science]. Vol. 25. No. 4: 175–192. (In Russ.)] DOI: 10.24290/1029-3736-2019-25-4-175-192.
Добринская Д.Е., Мартыненко Т.С. Перспективы российского информационного общества: уровни цифрового разрыва // Вестник Российского университета дружбы народов. Серия: Социология. 2019. Т. 19. № 1. С. 108–120. [Dobrinskaya D.E., Martynenko T.S. (2019) Perspectives of the Russian information society: Digital divide levels. Vestnik RUDN. Seriya: Sociologiya [RUDN Journal of Sociology]. Vol. 19. No. 1: 108–120. (In Russ.)] DOI: 10.22363/2313-2272-2019-19-1-108-120.
Лаптон Д. Жирные. М.: ВШЭ, 2021 [Lupton D. (2020) Fat. Moscow: VSHE. (In Russ.)]
Amoore L. (2020) Cloud Ethics: Algorithms and the Attributes of Ourselves and Others. Durham: Duke University Press.
Barrett M.A., Humblet O., Hiatt R.A., Adler N.E. (2013) Big data and disease prevention: From quantified self to quantified communities. 2013. Big Data. Vol. 1. No. 3: 168–175. DOI:10.1089/big.2013.0027.
Braidotti R. (2013) The Posthuman. Cambridge: Polity Press.
Calvard T. (2019) Integrating Social Scientific Perspectives on the Quantified Employee Self. Social Sciences. Vol. 8(9). No. 262: 1–19. DOI: 10.3390/socsci8090262.
Kitchin R. (2021) Data Lives: How Data Are Made and Shape Our World. Bristol: Bristol University Press.
Lupton D. (1996) Food, the Body and the Self. London: Sage Publications.
Lupton D. (1998) The Emotional Self: A Sociocultural Exploration. London: Sage Publications.
Lupton D. (2012) Medicine as Culture: Illness, Disease and the Body. Sage Publications.
Lupton D. (2013) Risk. London: Routledge.
Lupton D. (2014a) Digital Sociology. London; New York: Routledge.
Lupton D. (2014b) Apps as Artefacts: Towards a Critical Perspective on Mobile Health and Medical Apps. Societies. Vol. 4. No. 4: 606–622.
Lupton D. (2016a) The Quantified Self: A Sociology of Self-Tracking. Cambridge: Polity.
Lupton D. (2016b) The diverse domains of quantified selves: Self-tracking modes and dataveillance. Economy and Society. Vol. 45. No. 1: 101–122.
Lupton D. (2017) Digital health: Critical and cross-disciplinary perspectives. London: Routledge.
Lupton D. (2018a) Fat. London: Routledge.
Lupton D. (2018b) ‘Better understanding about what’s going on’: young Australians’ use of digital technologies for health and fitness. Sport, Education and Society. Vol. 25. No. 1: 1–13. DOI: 10.1080/13573322.2018.1555661.
Lupton D. (2019a) Data selves: More‐than‐human perspectives. New York: Polity Press.
Lupton D. (2019b) Toward a More-Than-Human Analysis of Digital Health: Inspirations from Feminist New Materialism. Qualitative Health Research. Vol. 29. No. 14: 1998–2009. DOI:10.1177/1049732319833368.
Lupton D. (2020) Thinking with Care About Personal Data Profiling: A More-Than-Human Approach. International Journal of Communication. Vol. 14: 3165–3183.
Lupton D., Maslen S. (2019) How Women Use Digital Technologies for Health: Qualitative Interview and Focus Group Study. Journal of Medical Internet Research. Vol. 21. No. 1: e11481. DOI: 10.2196/11481.
Mittelstadt B.D., Allo P., Taddeo M., Wachter S., Floridi L. (2016) The ethics of algorithms: Mapping the debate. Big Data & Society. Vol. 3. No. 2: 1–21. DOI: 10.1177/2053951716679679.
Peek N., Sujan M., Scott P. (2020) Digital health and care in pandemic times: impact of COVID-19. British Medical Journal of Health & Care Informatics. Vol. 27: e100166. DOI: 10.1136/bmjhci-2020–100166
Petracci M., Schwarz P., Ma V., Antelo S., Diz A.-M. (2017) Doctor–patient relationships amid changes in contemporary society: a view from the health communication field. Health Sociology Review. Vol. 26. No. 3: 266–279.
Sadowski J. (2020) Too smart: How digital capitalism is extracting data, controlling our lives, and taking over the world. Cambridge: MIT Press.
Saxena A., Brault N., Rashid S. (2021) Big Data and Artificial Intelligence for Healthcare Applications. CRC Press.
Schüll N. (2016) Data for life: Wearable technology and the design of self-care. BioSocieties. Vol. 11. No. 3: 317–333.
Schwab K. (2017) The Fourth Industrial Revolution. New York: Crown Publishing Group.
Stephens M. (2020) A geospatial infodemic: Mapping Twitter conspiracy theories of COVID-19. Dialogues in Human Geography. Vol. 10. No. 2: 276–281.
Temiz Y., Lovchik R., Kaigala G., Delamarche E. (2015) Lab-on-a-chip devices: How to close and plug the lab? Microelectronic Engineering. Vol. 132: 156–175. DOI: 10.1016/j.mee.2014.10.013.
Thrift N. (2005) Knowing capitalism. London: Sage Publications.
Whitelaw S., Mamas M., Topol E., Van Spall H. (2020) Applications of digital technology in COVID-19 pandemic planning and response. The Lancet. Digital Health. Vol. 2. No. 8: 435–440.
Zuboff S. (2015) Big other: Surveillance capitalism and the prospects of an information civilization. Journal of Information Technology. Vol. 30. No. 1: 75–89.