IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v75y2012i12p2233-2241.html
   My bibliography  Save this article

Social networks – The future for health care delivery

Author

Listed:
  • Griffiths, Frances
  • Cave, Jonathan
  • Boardman, Felicity
  • Ren, Justin
  • Pawlikowska, Teresa
  • Ball, Robin
  • Clarke, Aileen
  • Cohen, Alan

Abstract

With the rapid growth of online social networking for health, health care systems are experiencing an inescapable increase in complexity. This is not necessarily a drawback; self-organising, adaptive networks could become central to future health care delivery. This paper considers whether social networks composed of patients and their social circles can compete with, or complement, professional networks in assembling health-related information of value for improving health and health care. Using the framework of analysis of a two-sided network – patients and providers – with multiple platforms for interaction, we argue that the structure and dynamics of such a network has implications for future health care. Patients are using social networking to access and contribute health information. Among those living with chronic illness and disability and engaging with social networks, there is considerable expertise in assessing, combining and exploiting information. Social networking is providing a new landscape for patients to assemble health information, relatively free from the constraints of traditional health care. However, health information from social networks currently complements traditional sources rather than substituting for them. Networking among health care provider organisations is enabling greater exploitation of health information for health care planning. The platforms of interaction are also changing. Patient–doctor encounters are now more permeable to influence from social networks and professional networks. Diffuse and temporary platforms of interaction enable discourse between patients and professionals, and include platforms controlled by patients. We argue that social networking has the potential to change patterns of health inequalities and access to health care, alter the stability of health care provision and lead to a reformulation of the role of health professionals. Further research is needed to understand how network structure combined with its dynamics will affect the flow of information and potentially the allocation of health care resources.

Suggested Citation

  • Griffiths, Frances & Cave, Jonathan & Boardman, Felicity & Ren, Justin & Pawlikowska, Teresa & Ball, Robin & Clarke, Aileen & Cohen, Alan, 2012. "Social networks – The future for health care delivery," Social Science & Medicine, Elsevier, vol. 75(12), pages 2233-2241.
  • Handle: RePEc:eee:socmed:v:75:y:2012:i:12:p:2233-2241
    DOI: 10.1016/j.socscimed.2012.08.023
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953612006302
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2012.08.023?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Raghuram Iyengar & Christophe Van den Bulte & Thomas W. Valente, 2011. "Opinion Leadership and Social Contagion in New Product Diffusion," Marketing Science, INFORMS, vol. 30(2), pages 195-212, 03-04.
    2. Graefe, Andreas & Armstrong, J. Scott, 2011. "Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task," International Journal of Forecasting, Elsevier, vol. 27(1), pages 183-195, January.
    3. Fox, N.J. & Ward, K.J. & O'Rourke, A.J., 2005. "The 'expert patient': empowerment or medical dominance? The case of weight loss, pharmaceutical drugs and the Internet," Social Science & Medicine, Elsevier, vol. 60(6), pages 1299-1309, March.
    4. Young, H Peyton, 1993. "The Evolution of Conventions," Econometrica, Econometric Society, vol. 61(1), pages 57-84, January.
    5. Sillence, Elizabeth & Briggs, Pam & Harris, Peter Richard & Fishwick, Lesley, 2007. "How do patients evaluate and make use of online health information?," Social Science & Medicine, Elsevier, vol. 64(9), pages 1853-1862, May.
    6. E. Glen Weyl, 2010. "A Price Theory of Multi-sided Platforms," American Economic Review, American Economic Association, vol. 100(4), pages 1642-1672, September.
    7. Andrea Galeotti & Sanjeev Goyal, 2010. "The Law of the Few," American Economic Review, American Economic Association, vol. 100(4), pages 1468-1492, September.
    8. Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2011. "Controllability of complex networks," Nature, Nature, vol. 473(7346), pages 167-173, May.
    9. Mead, Nicola & Bower, Peter, 2000. "Patient-centredness: a conceptual framework and review of the empirical literature," Social Science & Medicine, Elsevier, vol. 51(7), pages 1087-1110, October.
    10. John H. Miller & Scott E. Page, 2007. "Complexity in Social Worlds, from Complex Adaptive Systems: An Introduction to Computational Models of Social Life," Introductory Chapters, in: Complex Adaptive Systems: An Introduction to Computational Models of Social Life, Princeton University Press.
    11. Mechanic, David, 2002. "Socio-cultural implications of changing organizational technologies in the provision of care," Social Science & Medicine, Elsevier, vol. 54(3), pages 459-467, February.
    12. Epstein, Ronald M. & Franks, Peter & Fiscella, Kevin & Shields, Cleveland G. & Meldrum, Sean C. & Kravitz, Richard L. & Duberstein, Paul R., 2005. "Measuring patient-centered communication in Patient-Physician consultations: Theoretical and practical issues," Social Science & Medicine, Elsevier, vol. 61(7), pages 1516-1528, October.
    13. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    14. Jeremy Ginsberg & Matthew H. Mohebbi & Rajan S. Patel & Lynnette Brammer & Mark S. Smolinski & Larry Brilliant, 2009. "Detecting influenza epidemics using search engine query data," Nature, Nature, vol. 457(7232), pages 1012-1014, February.
    15. Caldarelli, Guido, 2007. "Scale-Free Networks: Complex Webs in Nature and Technology," OUP Catalogue, Oxford University Press, number 9780199211517, Decembrie.
    16. Hokky Situngkir, 2004. "On Selfish Memes: culture as complex adaptive system," Computational Economics 0405001, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jin Zhang & Shanshan Zhai & Hongxia Liu & Jennifer Ann Stevenson, 2016. "Social network analysis on a topic‐based navigation guidance system in a public health portal," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(5), pages 1068-1088, May.
    2. Lu Yan & Yong Tan, 2014. "Feeling Blue? Go Online: An Empirical Study of Social Support Among Patients," Information Systems Research, INFORMS, vol. 25(4), pages 690-709, December.
    3. Lucas, Henry, 2015. "New technology and illness self-management: Potential relevance for resource-poor populations in Asia," Social Science & Medicine, Elsevier, vol. 145(C), pages 145-153.
    4. Petrakaki, Dimitra & Hilberg, Eva & Waring, Justin, 2018. "Between empowerment and self-discipline: Governing patients' conduct through technological self-care," Social Science & Medicine, Elsevier, vol. 213(C), pages 146-153.
    5. Juliana Lustosa Torres & Maria Fernanda Lima-Costa & Michael Marmot & Cesar de Oliveira, 2016. "Wealth and Disability in Later Life: The English Longitudinal Study of Ageing (ELSA)," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-12, November.
    6. Antonio Sergio da Silva & Milton Carlos Farina & Maria Aparecida Gouvêa & Denis Donaire, 2015. "A Model of Antecedents for the Co-Creation of Value in Health Care: An Application of Structural Equation Modeling," Brazilian Business Review, Fucape Business School, vol. 12(6), pages 121-149, November.
    7. Rueger, Jasmina & Dolfsma, Wilfred & Aalbers, Rick, 2021. "Perception of peer advice in online health communities: Access to lay expertise," Social Science & Medicine, Elsevier, vol. 277(C).
    8. Jianye Liu & Roderic Beaujot & Zenaida Ravanera, 2018. "Measuring the Effects of Stress and Social Networks on the Health of Canadians," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 13(4), pages 891-908, December.
    9. Bertin, Giovanni & Pantalone, Marta, 2019. "Professional identity in community care: The case of specialist physicians in outpatient services in Italy," Social Science & Medicine, Elsevier, vol. 226(C), pages 21-28.
    10. Indrani Saran & Günther Fink & Margaret McConnell, 2018. "How does anonymous online peer communication affect prevention behavior? Evidence from a laboratory experiment," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-16, November.
    11. Foster, Drew, 2016. "‘Keep complaining til someone listens’: Exchanges of tacit healthcare knowledge in online illness communities," Social Science & Medicine, Elsevier, vol. 166(C), pages 25-32.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hyojung Tak & Gregory Ruhnke & Ya-Chen Shih, 2015. "The Association between Patient-Centered Attributes of Care and Patient Satisfaction," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 8(2), pages 187-197, April.
    2. Andreas Koulouris & Ioannis Katerelos & Theodore Tsekeris, 2013. "Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(1), pages 51-70.
    3. Péter Bayer & Ani Guerdjikova, 2020. "Optimism leads to optimality: Ambiguity in network formation," Working Papers hal-03005107, HAL.
    4. Tolga Akcura & Kemal Altinkemer & Hailiang Chen, 0. "Noninfluentials and information dissemination in the microblogging community," Information Technology and Management, Springer, vol. 0, pages 1-18.
    5. Shekhtman, Louis M. & Danziger, Michael M. & Havlin, Shlomo, 2016. "Recent advances on failure and recovery in networks of networks," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 28-36.
    6. Wouter Vermeer & Otto Koppius & Peter Vervest, 2018. "The Radiation-Transmission-Reception (RTR) model of propagation: Implications for the effectiveness of network interventions," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-21, December.
    7. Chen, Shi-Ming & Xu, Yun-Fei & Nie, Sen, 2017. "Robustness of network controllability in cascading failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 536-539.
    8. Pennings, Clint L.P. & van Dalen, Jan & Rook, Laurens, 2019. "Coordinating judgmental forecasting: Coping with intentional biases," Omega, Elsevier, vol. 87(C), pages 46-56.
    9. Tolga Akcura & Kemal Altinkemer & Hailiang Chen, 2018. "Noninfluentials and information dissemination in the microblogging community," Information Technology and Management, Springer, vol. 19(2), pages 89-106, June.
    10. Pang, Shao-Peng & Hao, Fei, 2018. "Effect of interaction strength on robustness of controlling edge dynamics in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 246-257.
    11. Xiao, Guanping & Zheng, Zheng & Wang, Haoqin, 2017. "Evolution of Linux operating system network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 249-258.
    12. Jiang, Zhong-Yuan & Zeng, Yong & Liu, Zhi-Hong & Ma, Jian-Feng, 2019. "Identifying critical nodes’ group in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 121-132.
    13. Ding, Jie & Wen, Changyun & Li, Guoqi, 2017. "Key node selection in minimum-cost control of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 251-261.
    14. Liberati, Elisa Giulia & Gorli, Mara & Moja, Lorenzo & Galuppo, Laura & Ripamonti, Silvio & Scaratti, Giuseppe, 2015. "Exploring the practice of patient centered care: The role of ethnography and reflexivity," Social Science & Medicine, Elsevier, vol. 133(C), pages 45-52.
    15. Lo, Ming-Cheng Miriam & Bahar, Roxana, 2013. "Resisting the colonization of the lifeworld? Immigrant patients' experiences with co-ethnic healthcare workers," Social Science & Medicine, Elsevier, vol. 87(C), pages 68-76.
    16. Ganesh Iyer & Zsolt Katona, 2016. "Competing for Attention in Social Communication Markets," Management Science, INFORMS, vol. 62(8), pages 2304-2320, August.
    17. Nie, Sen & Wang, Xuwen & Wang, Binghong, 2015. "Effect of degree correlation on exact controllability of multiplex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 98-102.
    18. Luis R. Izquierdo & Segismundo S. Izquierdo & José Manuel Galán & José Ignacio Santos, 2009. "Techniques to Understand Computer Simulations: Markov Chain Analysis," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-6.
    19. Staudigl, Mathias & Weidenholzer, Simon, 2014. "Constrained interactions and social coordination," Journal of Economic Theory, Elsevier, vol. 152(C), pages 41-63.
    20. Pang, Shaopeng & Hao, Fei, 2017. "Optimizing controllability of edge dynamics in complex networks by perturbing network structure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 470(C), pages 217-227.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:75:y:2012:i:12:p:2233-2241. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.