Social Theory & Health

, Volume 17, Issue 3, pp 291–306 | Cite as

Trying times: domestication of healthcare technologies amidst challenging dynamic contexts

  • Stephen FoxEmail author
Original Article


There are many cases where technology domestication can be a comfortable experience. For example, there can be convenient supply of well-functioning consumer products, which are domesticated successfully into stable settings that are familiar and pleasing. By contrast, domestication of other technologies can be an uncomfortable experience. For example, there can be inconvenient supply of diverse healthcare products, which are not domesticated successfully into dynamic settings that are unfamiliar and far from pleasing. In this paper, challenging contexts for the supply and domestication of healthcare technologies are analysed in order to further develop four major constructs of Domestication Theory: appropriation, objectification, incorporation, and conversion. This leads to the definition of continua for these constructs that encompass the best of times and worst of times for technology domestication. These continua are related to biosocial structure and biosocial agency.


Autonomous systems Biocitizenship Craft skills Domestication theory Healthcare technologies Industrial processes 



  1. Aarden, E. 2018. Repositioning biological citizenship: State, population, and individual risk in the Framingham Heart Study. BioSocieties 13 (2): 494–512.Google Scholar
  2. Aarts, H., and A. Dijksterhuis. 2000. Habits as knowledge structures: Automaticity in goal-directed behavior. Journal of Personality and Social Psychology 78 (1): 53–63.Google Scholar
  3. Abo-Zahhad, M., S.M. Ahmed, and O. Elnahas. 2014. A wireless emergency telemedicine system for patients monitoring and diagnosis. International Journal of Telemedicine and Applications 4: 80787.Google Scholar
  4. Altman, L.K. 1998. Who Goes First? The Story of Self-Experimentation in Medicine. Berkeley, CA: University of California Press.Google Scholar
  5. Altman, R.B. 2017. Artificial intelligence (AI) systems for interpreting complex medical datasets. Clinical Pharmacology and Therapeutics 101 (5): 585–586.Google Scholar
  6. Andrade, C. 2015. The numbers needed to treat and harm (NNT, NNH) statistics: What they tell us and what they do not. The Journal of Clinical Psychiatry 76 (3): 330–333.Google Scholar
  7. Anderson, M.L. 2010. Neural reuse: A fundamental organizational principle of the brain. Behavioral and Brain Sciences 33 (3): 245–313.Google Scholar
  8. Ashby, W.R., and J. Goldstein. 2011. Variety, constraint, and the law of requisite variety. Emergence: Complexity and Organization 13 (1/2): 190.Google Scholar
  9. Aune, M. 1996. The computer in everyday life: patterns of domestication of a new technology. In Making Technology Our Own? Domesticating Technologies into Everyday Life, ed. M. Lie and K.H. S⌀rensen. Oslo: SUP.Google Scholar
  10. Apkarian, A.V., M.C. Bushnell, R.D. Treede, and J.K. Zubieta. 2005. Human brain mechanisms of pain perception and regulation in health and disease. European Journal of Pain 9 (4): 463–484.Google Scholar
  11. Ashcroft, G.S., S.J. Mills, and J.J. Ashworth. 2002. Ageing and wound healing. Biogerontology 3 (6): 337–345.Google Scholar
  12. Baym, N.K. 2015. Personal Connections in the Digital Age. Cambridge, MA: Polity Press.Google Scholar
  13. Bingel, U., V. Wanigasekera, K. Wiech, R.N. Mhuircheartaigh, M.C. Lee, M. Ploner, and I. Tracey. 2011. The effect of treatment expectation on drug efficacy: Imaging the analgesic benefit of the opioid remifentanil. Science Translational Medicine 3: 70ra14.Google Scholar
  14. Blaser, M. 2014. Overuse of antibiotics is destroying our natural microbes. The Guardian, June 1.Google Scholar
  15. Boardman, H.M.P., L. Hartley, A. Eisinga, C. Main, M.R. i Figuls, X.B. Cosp, R.G. Sanchez, and B. Knight. 2015. Hormone therapy for preventing cardiovascular disease in post-menopausal women. Cochrane Database of Systematic Reviews. Scholar
  16. Bogdanski, S., and B.C. Chang. 2005. Collecting grey literature: An annotated bibliography, with examples from the sciences and technology. Science & Technology Libraries 25 (3): 35–70.Google Scholar
  17. Bone, J. 2016. The nature of structure: A biosocial approach. The Sociological Review 64 (1): 238–255.Google Scholar
  18. Bone, J.D. 2005. The social map & the problem of order: A re-evaluation of ‘Homo Sociologicus’. Theory & Science 6 (1): 1–20.Google Scholar
  19. Bourdieu, P. 1984. Distinction. London: Routledge.Google Scholar
  20. Borland, J. 2010. Transcending the human, DIY style. Wired, December 30.Google Scholar
  21. Branswell, H. 2017. Dangerous superbug appears to be spreading stealthily in US hospitals. Statnews, January 16.Google Scholar
  22. Braekers, K., R.F. Hart, S.N. Parragh, and F. Tricoire. 2016. A bi-objective home care scheduling problem: Analyzing the trade-off between costs and client inconvenience. European Journal of Operational Research 248 (2): 428–443.Google Scholar
  23. Burne, J. 2012. New research says it really does work. So what is the truth about acupuncture? Daily Mail, September 10.Google Scholar
  24. Burns, R. 2014. Atlanta’s food deserts leave its poorest citizens stranded and struggling. The Guardian, March 17.Google Scholar
  25. Calnan, M., F. Hashem, and P. Brown. 2017. Still elegantly muddling through? NICE and uncertainty in decision making about the rationing of expensive medicines in England. International Journal of Health Services 47 (3): 571–594.Google Scholar
  26. Carroll, A.E. 2016. Closest thing to a wonder drug? Try exercise. The New York Times, June 20.Google Scholar
  27. Carter, S., J. Green, and N. Thorogood. 2013. The domestication of an everyday health technology: A case study of electric toothbrushes. Social Theory & Health 11 (4): 344–367.Google Scholar
  28. Cha, A.E. 2016. Medical errors now third leading cause of death in United States. The Washington Post, May 3.Google Scholar
  29. Chen, A. 2017. Just thinking you’re slacking on exercise could boost risk of death. NPR Health News, July 20.Google Scholar
  30. Chen, Y., Z. Yin, and Q. Xie. 2014. Suggestions to ameliorate the inequity in urban/rural allocation of healthcare resources in China. International Journal for Equity in Health 13 (1): 34.Google Scholar
  31. Chiu, K., Q. Grundy, and L. Bero. 2017. ‘Spin’ in published biomedical literature: A methodological systematic review. PLoS Biology 15 (9): e2002173.Google Scholar
  32. Collins, F.S., and H. Varmus. 2015. A new initiative on precision medicine. New England Journal of Medicine 372: 793–795.Google Scholar
  33. Colquhoun, D., and S. Novella. 2013. Acupuncture is a theatrical placebo. Anesthesia and Analgesia 116 (6): 1360–1363.Google Scholar
  34. Conner, M., G. Gaston, P. Sheeran, and M. Germain. 2013. Some feelings are more important: Cognitive attitudes, affective attitudes, anticipated affect, and blood donation. Health Psychology 32: 264–272.Google Scholar
  35. Decker, M., M. Fischer, and I. Ott. 2017. Service Robotics and Human Labor: A first technology assessment of substitution and cooperation. Robotics and Autonomous Systems 87: 348–354.Google Scholar
  36. Degele, N. 2005. On the margins of everything: Doing, performing, and staging science in homeopathy. Science, Technology and Human Values 30 (1): 111–136.Google Scholar
  37. Doidge, N. 2015. How your brain can heal your body: Astonishing new research reveals the brain’s ability to rewire itself can conquer pain—and overcome ‘untreatable’ illnesses. Daily Mail, January 12.Google Scholar
  38. Elias, N. 1939. The Civilising Process, vol. 1. Oxford: Blackwell.Google Scholar
  39. Epstein, D. 2017. When evidence says no, but doctors say yes. The Atlantic, February, 22.Google Scholar
  40. Farand, C. 2017. Patients ‘belittled and bewildered’ as access to NHS care worsens, doctors warn. The Independent, June 25.Google Scholar
  41. Filshie, J. 2001. Safety aspects of acupuncture in palliative care. Acupuncture in Medicine 19 (2): 117–122.Google Scholar
  42. Fitzgerald, R. 2008. Biological citizenship at the periphery: Parenting children with genetic disorders. New Genetics and Society 27 (3): 251–266.Google Scholar
  43. Francino, M.P. 2016. Antibiotics and the human gut microbiome: Dysbioses and accumulation of resistances. Frontiers in Microbiology 6: 1543.Google Scholar
  44. Fraser, S. 2010. Hepatitis C and the limits of medicalisation and biological citizenship for people who inject drugs. Addiction Research & Theory 18 (5): 544–556.Google Scholar
  45. Freedman, D.H. 2010. Lies, damned lies, and medical science. The Atlantic 306 (4): 76–84.Google Scholar
  46. Gelfand, A.A. 2017. Acupuncture for migraine prevention: Still reaching for convincing evidence. JAMA Internal Medicine 177 (4): 516–517.Google Scholar
  47. Gerstner, W., W.M. Kistler, R. Naud, and L. Paninski. 2014. Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition. Cambridge, MA: Cambridge University Press.Google Scholar
  48. Giddens, A. 1991. Modernity and Self-Identity. Cambridge, MA: Polity Press.Google Scholar
  49. Glăveanu, V.P. 2012. Habitual creativity: Revising habit, reconceptualizing creativity. Review of General Psychology 16 (1): 78–92.Google Scholar
  50. Glucksman, M. 2016. Completing and complementing: The work of consumers in the division of labour. Sociology 50 (5): 878–895.Google Scholar
  51. Gatchel, R.J., and A.M. Maddrey. 2004. The biopsychosocial perspective of pain. In Healthcare Psychology Handbook, vol. II, ed. J. Raczynski and L. Leviton. Washington, DC: American Psychological Association Press.Google Scholar
  52. Guida, A., F. Gobet, H. Tardieu, and S. Nicolas. 2012. How chunks, long-term working memory and templates offer a cognitive explanation for neuroimaging data on expertise acquisition: A two-stage framework. Brain and Cognition 79: 221–244.Google Scholar
  53. Harwood, S.A. 2011. The domestication of online technologies by smaller businesses and the ‘busy day’. Information and Organization 21 (2): 84–106.Google Scholar
  54. Heath, D., R. Rapp, and K.S. Taussig. 2008. Genetic citizenship. In A Companion to the Anthropology of Politics, ed. D. Nugent and J. Vincent, 152–166. Malden, MA: Blackwell Publishing.Google Scholar
  55. Heinemann, T. 2015. Biological citizenship. In Encyclopedia of Global Bioethics, ed. H. Have. Cham: Springer.Google Scholar
  56. Hutton, J.L. 2010. Misleading statistics: The problems surrounding number needed to treat and number needed to harm. Pharmaceutical Medicine 24 (3): 145–149.Google Scholar
  57. Hynes, D. 2009. [End] Users as designers: The internet in everyday life in Irish households. Anthropology in Action 16 (1): 18–29.Google Scholar
  58. Ioannidis, J.P. 2005. Why most published research findings are false. PLoS Medicine 2 (8): e124.Google Scholar
  59. Kabbaj, M. 2004. Neurobiological bases of individual differences in emotional and stress responsiveness: High responders–low responders model. Archives of Neurology 61 (7): 1009–1012.Google Scholar
  60. Kahn, A. 2018. A popular sugar additive may have fueled the spread of not one but two superbugs. Los Angeles Times, January 3.Google Scholar
  61. Kay, J. 2009. History vindicates the science of muddling through. Financial Times, April 14.Google Scholar
  62. Kentish, B. 2016. People expected to die 10 years earlier in poorer parts of UK, new figures reveal. The Independent, November 29.Google Scholar
  63. Kurowski, S., and O. von Stryk. 2015. A systematic approach to the design of embodiment with application to bio-inspired compliant legged robots. In Intelligent Robots and Systems Conference, ed. J. Zhang, and A. Knoll, 3771–3778. New York.Google Scholar
  64. Levin, S.A. 2009. The Princeton Guide to Ecology. Princeton, NJ: Princeton University Press.Google Scholar
  65. Linden, A. 2013. Assessing regression to the mean effects in health care initiatives. BMC Medical Research Methodology 13 (1): 119.Google Scholar
  66. Liste, L., and K.H. Sørensen. 2015. Consumer, client or citizen? How Norwegian local governments domesticate website technology and configure their users. Information, Communication & Society 18 (7): 733–746.Google Scholar
  67. Lyell, D., and E. Coiera. 2016. Automation bias and verification complexity: A systematic review. Journal of the American Medical Informatics Association 24 (2): 423–431.Google Scholar
  68. Lindblom, C.E. 1959. The science of “muddling through”. Public Administration Review 19 (2): 79–88.Google Scholar
  69. Lyng, S. 1990. Edgework: A social psychological analysis of voluntary risk taking. American Journal of Sociology 95: 851–886.Google Scholar
  70. Lyng, S. 2004. Edgework: The Sociology of Risk-Taking. London: Routledge, Taylor & Francis Group.Google Scholar
  71. Mann, T.N., R.P. Lamberts, and M.I. Lambert. 2014. High responders and low responders: Factors associated with individual variation in response to standardized training. Sports Medicine 44 (8): 1113–1124.Google Scholar
  72. Maxwell, J.C. 2011. The prescription drug epidemic in the United States: A perfect storm. Drug and Alcohol Review 30 (3): 264–270.Google Scholar
  73. Mehta, D., T. Klengel, K.N. Conneely, A.K. Smith, A. Altmann, T.W. Pace, M. Rex-Haffner, A. Loeschner, M. Gonik, K.B. Mercer, and B. Bradley. 2013. Childhood maltreatment is associated with distinct genomic and epigenetic profiles in posttraumatic stress disorder. Proceedings of the National Academy of Sciences of the United States of America 110 (20): 8302–8307.Google Scholar
  74. Meloni, M. 2014. How biology became social, and what it means for social theory. The Sociological Review 62 (3): 593–614.Google Scholar
  75. Moore, A. 2016. Expert claims the common painkiller is ‘often no better than a placebo’. The Daily Mail, October 25.Google Scholar
  76. Moravec, H. 1988. Mind Children: The Future of Robot and Human Intelligence. Cambridge, MA: Harvard University Press.Google Scholar
  77. Morton, V., and D.J. Torgerson. 2003. Effect of regression to the mean on decision making in health care. BMJ: British Medical Journal 326 (7398): 1083–1084.Google Scholar
  78. Nhlapo, Z. 2018. Surgical Patients In Africa Twice As Likely To Die: Mortality due to complications following surgery in Africa is twice as high as the global average, despite patients usually being younger and fitter. The Huffington Post, January 5th.Google Scholar
  79. Oakland, J.S. 2014. Total Quality Management and Operational Excellence. Abingdon, OX: Routledge.Google Scholar
  80. Oaklander, M. 2016. There’s even more evidence that fitness trackers don’t work. Time, October 4.Google Scholar
  81. Odum, E.P., and G.W. Barrett. 2004. Fundamentals of Ecology, 5th ed. Cengage Learning: Andover.Google Scholar
  82. O’Hara, M. 2015. Fed up with NHS waiting times? It’s even worse in the US. The Guardian, August 25.Google Scholar
  83. O’Neil, C. 2016. Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy. New York: Crown Publishers.Google Scholar
  84. Palle, M.C., and I.S. Kristiansen. 2006. Number-needed-to-treat (NNT)—Needs treatment with care”. Basic & Clinical Pharmacology & Toxicology 99 (1): 12–16.Google Scholar
  85. Pantzar, M. 1997. Domestication of everyday life technology: Dynamic views on social histories of artifacts. Design Issues 13 (3): 52–65.Google Scholar
  86. Parker, S., and T.D. Wall. 1998. Job and Work Design: Organizing Work to Promote Well-Being and Effectiveness. Thousand Oaks, CA: Sage.Google Scholar
  87. Pienaar, K. 2016. Claiming rights, making citizens: HIV and the performativity of biological citizenship. Social Theory & Health 14 (2): 149–168.Google Scholar
  88. Porubsky, C., P. Stiegler, V. Matzi, C. Lipp, A. Kontaxis, H. Klemen, C. Walch, and F. Smolle-Jüttner. 2007. Hyperbaric oxygen in tinnitus: Influence of psychological factors on treatment results? ORL 69 (2): 107–112.Google Scholar
  89. Patton, M.Q. 1991. Towards utility in reviews of multivocal literatures. Review of Educational Research 61 (3): 287–292.Google Scholar
  90. Prasad, V.K., and A.S. Cifu. 2015. Ending Medical Reversal: Improving Outcomes, Saving Lives. Baltimore, MA: John Hopkins University Press.Google Scholar
  91. Ramdorai, A., and C. Herstatt. 2015. Frugal Innovation in Healthcare. India Studies in Business and Economics. Heidelberg: Springer.Google Scholar
  92. Renwick, C. 2012. British Sociology’s Lost Biological Roots: A History of Futures Past. Basingstoke: Palgrave Macmillan.Google Scholar
  93. Rocco, M.V. 2007. More frequent hemodialysis: Back to the future? Advances in Chronic Kidney Diease 14 (3): 1–9.Google Scholar
  94. Rose, N. 2013. The human sciences in a biological age. Theory, Culture & Society 30 (1): 3–34.Google Scholar
  95. Rose, N., and C. Novas. 2005. Biological citizenship. In Global Assemblages: Technology, Politics, and Ethics as Anthropological Problems, Blackwell Publishing, Oxford, ed. A. Ong and S.J. Collier, 439–463. Oxford: Blackwell Publishing.Google Scholar
  96. Rosenzweig, M.R., S.M. Breedlove, and A.L. Leiman. 2002. Biological Psychology: An Introduction to Behavioral, Cognitive, and Clinical Neuroscience. Sunderland, MA: Sinauer Associates.Google Scholar
  97. Schaffer, R., K. Kuczynski, and D. Skinner. 2008. Producing genetic knowledge and citizenship through the Internet: Mothers, pediatric genetics, and cybermedicine. Sociology of Health & Illness 30 (1): 145–159.Google Scholar
  98. Schlich, T. 2007. The art and science of surgery: Innovation and concepts of medical practice in operative fracture care, 1960s–1970s. Science, Technology and Human Values 32 (1): 65–87.Google Scholar
  99. Seth, A.K. 2015. The cybernetic Bayesian brain—from interoceptive inference to sensorimotor contingencies. In Open MIND: 35(T), ed. Thomas Metzinger and Jennifer M. Windt. Frankfurt: MIND Group.Google Scholar
  100. Sheeran, P., P.M. Gollwitzer, and J.A. Bargh. 2013. Nonconscious processes and health. Health Psychology 32: 460–473.Google Scholar
  101. Silverman, M.S., I. Davis, and D.R. Pillai. 2010. Success of self-administered home fecal transplantation for chronic clostridium difficile infection. Clinical Gastroenterology and Hepatology 8: 471–473.Google Scholar
  102. Silverstone, R., and L. Haddon. 1996. Design and the domestication of information and communication technologies: technical change and everyday life. In Communication by Design, ed. R. Mansell and R. Silverstone, 44–74. Oxford: Oxford University Press.Google Scholar
  103. Silverstone, R., E. Hirsh, and D. Morley. 1992. Information and communication technologies and the moral economy of the household. In Consuming Technologies: Media and Information in Domestic Spaces, ed. R. Silverstone and E. Hirsh. London: Routledge.Google Scholar
  104. Simon, M. 2015. This incredible hospital robot is saving lives. Also, I hate it. Wired, February 10.Google Scholar
  105. Smit, M. 2006. Taming monsters: The cultural domestication of new technologies. Technology in Society 28 (4): 489–504.Google Scholar
  106. Smith, P.A. 2016. A do-it-yourself revolution in diabetes care. The New York Times, February 22.Google Scholar
  107. Smith, T.M., and R.L. Smith. 2009. Elements of Ecology. San Francisco, CA: Benjamin Cummings.Google Scholar
  108. Strait, M.K., V.A. Floerke, W. Ju, K. Maddox, J.D. Remedios, M.F. Jung, and H.L. Urry. 2017. Understanding the uncanny: Both atypical features and category ambiguity provoke aversion towards humanlike robots. Frontiers in Psychology 8: 1366.Google Scholar
  109. Sun, L.H. 2017. Failure to vaccinate is likely driver of U.S. measles outbreaks, report says. The Washington Post, October 3.Google Scholar
  110. Tatsioni, A., N.G. Bonitsis, and J.P. Ioannidis. 2007. Persistence of contradicted claims in the literature. Journal of the American Medical Association 298 (21): 2517–2526.Google Scholar
  111. Taylor, E., J. Covington, J. Galgani, E. Ravussin, S. Bajpeyi, and T. Henagan. 2015. High vs. low responders to exercise: Role of epigenetic modifications in altering PGC1α gene expression and intramyocellular lipid content in skeletal muscle. The Federation of American Societies for Experimental Biology Journal 29: 675-20.Google Scholar
  112. Taylor, F.W. 1911. The Principles of Scientific Management. New York: Harper Brothers.Google Scholar
  113. Tennankore, K., A.C. Nadeau-Fredette, and C.T. Chan. 2013. Intensified home hemodialysis: Clinical benefits, risks and target populations. Nephrology, Dialysis, Transplantation 29 (7): 1342–1349.Google Scholar
  114. Toner, J. 2017. Habitual reflexivity and skilled action. Body & Society 23 (4): 3–26.Google Scholar
  115. Tucker, E. 2015. The Chronic Pain that Won’t Go Away: CRPS is a Rare Neurological Condition that Causes Unending Agony and Misery, 27. The Guardian, July: But now a special implant offers hope to sufferers.Google Scholar
  116. Vuojarvi, H., H. Isomaki, and D. Hynes. 2010. Domestication of a laptop on a wireless campus. Australasian Journal of Educational Technologies 26 (2): 250–267.Google Scholar
  117. Wang, S.M., R.E. Harris, Y.C. Lin, and T.J. Gan. 2013. Acupuncture in 21st century anesthesia: Is there a needle in the haystack? Anesthesia and Analgesia 116 (6): 1356–1359.Google Scholar
  118. Weinstein, J.N. 2018. How do we move beyond regression to the mean?: Improving health and health care. Spine 43 (2): 73–75.Google Scholar
  119. Weiss, W., F. Fuhrmann, H. Zeiner, and R. Unterberger. 2017. Towards an achitecture for collaborative human robot interaction in physiotherapeutic applications. In Proceedings of 2017 ACM/IEEE International Conference on Human-Robot Interaction, 319–320. Vienna, Austria, March 06–09.Google Scholar
  120. Williams, C.M., C.G. Maher, J. Latimer, A.J. McLachlan, M.J. Hancock, R.O. Day, and C.W.C. Lin. 2014. Efficacy of paracetamol for acute low-back pain: A double-blind, randomised controlled trial. The Lancet 384 (9954): 1586–1596.Google Scholar
  121. Wilson, H.D., J. Boyette-Davis, and P.N. Fuchs. 2007. The relationship between basal level of anxiety and the affective response to inflammation. Physiology & Behaviour 90: 506–511.Google Scholar
  122. Wooller, S. 2017. Hard Pill to Swallow: Aspirin killing 3,000 Brits a year, as docs blame popping pills daily for 20,000 ‘major bleeds’ annually. The Sun, June 14.Google Scholar
  123. Yamada, S., B. Slingsby, I. Taylor, K. Megan, and D. Derauf. 2008. Evidence-based public health: A critical perspective. Journal of Public Health. 16 (3): 169–172.Google Scholar
  124. Zafarullah, H., and B.K. Banik. 2016. Muddling through: Limitations and challenges of the health policy process in Bangladesh. Journal of Asian Public Policy 9 (3): 211–226.Google Scholar
  125. Zahrt, O.H., and A.J. Crum. 2017. Perceived physical activity and mortality: Evidence from three nationally representative US samples. Health Psychology 36 (11): 1017–1025.Google Scholar
  126. Zhan, M. 2014. The empirical as conceptual: Transdisciplinary engagements with an “experiential medicine”. Science, Technology and Human Values 39 (2): 236–263.Google Scholar
  127. Zuckerman, D. 2003. Hype in health reporting: “Checkbook science” buys distortion of medical news. International Journal of Health Services 33 (2): 383–389.Google Scholar

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Authors and Affiliations

  1. 1.VTT, Technical Research Centre of FinlandEspooFinland

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