Griffiths, Frances, Cave, Jonathan A. K., 1951-, Boardman, Felicity K., Ren, Justin, Pawlikowska, T., Ball, R. C., Clarke, Aileen, 1955- and Cohen, Alan B.. (2012) Social networks : the future for health care delivery. Social Science & Medicine, Volume 75 (Number 12). pp. 2233-2241. ISSN 02779536

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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.

Item Type:	Journal Article
Subjects:	R Medicine > RA Public aspects of medicine
Divisions:	Faculty of Social Sciences > Economics Faculty of Medicine > Warwick Medical School > Health Sciences Faculty of Science > Physics Faculty of Medicine > Warwick Medical School
Library of Congress Subject Headings (LCSH):	Online social networks, Internet in medicine, Medical care -- Technological innovation
Journal or Publication Title:	Social Science & Medicine
Publisher:	Elsevier Science BV
ISSN:	02779536
Date:	2012
Volume:	Volume 75
Number:	Number 12
Page Range:	pp. 2233-2241
Identification Number:	10.1016/j.socscimed.2012.08.023
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
References:	Aharony, N., Pan, W., Ip, C., Khayal, I. & Pentland, A. (2011). The Social fMRI: Measuring, Understanding and Designing Social Mechanisms in the Real World. UbiComp Sept. 17th-21st. Beijing, China. Aldhous, P. (2008). How the MySpace mindset can boost medical science. New Scientist, 2656, 26-27. Anderson, C., (2008). The End of Theory: The Data Deluge Makes the Scientific Method Obsolete. Wired Magazine (23rd June). http://www.wired.com/science/discoveries/magazine/16-07/pb_theory. (Accessed 6/4/12) Anderson, P.W. (1972). More Is Different. Science, 177(4047), 393-396. Arthritis Care, 2009. Medicine and Me: Arthritis 21st April, Royal Society of Medicine http://www.arthritiscare.org.uk/PublicationsandResources/Listedbytype/Conferences (Accessed 26/8/11) Armstrong, D., Reyburn, H., & Jones, R. (1996). A study of general practitioners' reasons for changing their prescribing behaviour. British Medical Journal, 312(7036), 949-952. Ashworth, M., Charlton, J., Ballard, K., Latinovic, R., & Gulliford, M. (2005). Variations in antibiotic prescribing and consultation rates for acute respiratory infection in UK general practices 1995-2000. British Journal of General Practice, 55(517), 603- 608. Association of American Medical Colleges. (1999). Contemporary Issues in Medicine: Communication in Medicine. Washington DC, Association of American Medical Colleges. Barabási, A-L. (2002). Linked: the new science of networks. Cambridge, Mass: Perseus. Bensing, J. (2000). Bridging the gap. The separate worlds of evidence-based medicine and patient-centered medicine. Patient Education & Counselling, 39(1), 17-25. Blumenthal, D., (2010). Launching HITECH. New England Journal of Medicine, 362(5), 382-385. Blumenthal, D., (2011). Implementation of the Federal Health Information Technology Initiative. New England Journal of Medicine, 365(25), 2426-2431. Bollier, D., (2010) The Promise and Peril of Big Data. Washington: The Aspen Institute. Bonaccorso, S., & Sturchio, J. (2002). For and against: direct to consumer advertising is medicalising normal human experience. British Medical Journal, 324(7342), 910-911. Boyd, D., Golder, S. & Lotan, G. (2010). Tweet, tweet, retweet: conversational aspects of retweeting on Twitter. HICSS-43. IEEE Computer Society, Jan. 5th-8th. Kauai, Hawaii. Buchan, I., Ainsworth, J., Carruthers, E., Couch, P., O'Flaherty, M., Smith, D., Williams, R., & Capewell, S. (2010). IMPACT: A generalisable system for simulating public health interventions. Studies in Health Technology and Health Informatics, 160(Pt 1), 486-490. Buldyrev, S.V., Parshani, R., Paul, G., Stanley, H.E., & Havlin, S. (2010). Catastrophic cascade of failures in interdependent networks. Nature. 464, 1025-1028. Butler, C., Rollnick, S., Pill, R., Maggs-Rapport, F., & Scott, N. (1998). Understanding the culture of prescribing: qualitative study of general practitioners' and patients' perceptions of antibiotics for sore throats. British Medical Journal, 317, 637-642. Butler C., Hood, K., Verheij, T., Little, P., Melbye, H., Nuttall J., Kelly, M., Almirall, J., Torres, A., Gillespie, P., Rautakorpi, U., Coenen, S., & Goossens, H. (2009) Variation in antibiotic prescribing and its impact on recovery in patients with acute cough in primary care: prospective study in 13 countries. British Medical Journal 338, DOI: b2242. Cain Miller, C. (2008). Social networking for patients. New York Times, October 24th http://bits.blogs.nytimes.com/2008/10/24/social-networking-for-patients/ (Accessed 25/8/11). Caldarelli, G. (2007). Scale-Free Networks: Complex Webs in Nature and Technology. Oxford: OUP. Charness, G., Karni, E., & Levin, D. (2006) Individual and Group Decision Making Under Risk: An Experimental Study of Bayesian Updating and Violations of First-order Stochastic Dominance. Discussion Paper, University of Santa Barbara. Cotter, T.F. (2006). Some Observations on the Law and Economics of Intermediaries. Michigan State Law Review, 2006(1), 67-82. Crawford, M., Rutter, D., Manley, C., Weaver, T., Bhui, K., Fulop, N., & Tyrer, P. (2002). Systematic review of involving patients in the planning and development of health care. British Medical Journal, 325, 1263-1267. Department of Health (2009). NHS constitution. London, Department of Health. Department of Health (2010). Equity and excellence. Liberating the NHS. London, Department of Health. Department of Health Research & Development Directorate (2011). The Government plan for a secure data service: Strengthening the international competitiveness of UK life sciences research. London, Department of Health. Donohue, J.M., Cevasco, M., Rosenthal, M.B. (2007). A Decade of Direct-to-Consumer Advertising of Prescription Drugs. N Engl J Med, 357(7), 673-681. Drentea, P. & Moren-Cross, P. (2005). Social capital and social support on the web: the case of an Internet mother site. Sociology of Health & Illness, 27(7), 920-943. Ducournau, P. & Beaudevin, C., (2011). Of deterritorialization, healthism and biosocialities: the companies’ marketing and users’ experiences of online genetics. Journal of Science Communication, 10(3), C04. Eagle, N., Pentland, A. (2006). Reality mining: sensing complex social systems. Personal and Ubiquitous Computing, 10(4), 1617-4909. Epstein, R. M., Franks, P. Fiscella, K., Shields, C., Meldrum, S., Kravitz, R., & Duberstein, P. (2005). Measuring patient-centered communication in Patient-Physician consultations: Theoretical and practical issues. Social Science & Medicine, 61 (7), 1516- 1528. Fox, N., Ward, K., O'Rauke, A. (2005). The 'expert patient': empowerment or medical dominance? The case of weight loss, pharmaceutical drugs and the Internet'. Social Science & Medicine, 60 (6), 1299-1309. Fox, S. (2011). The social life of health information, Washington: Pew Research Center’s Internet & American Life Project http://pewinternet.org/Reports/2011/Social‐Life‐of‐Health‐Info.aspx (Accessed 16/04/12). Frost, J., & Massagli, M. (2008). Social uses of personal health information within PatientsLikeMe, an online patient community: what can happen when patients have access to one another’s data. Journal of Medical Internet Research, 10(3), e15. Fudge, N., Wolfe, C., & McKevitt, C. (2008). Assessing the promise of user involvement in health service development: ethnographic study. British Medical Journal, 336, 313- 317. Galeotti, A. & Goyal, S., (2010). The law of the few. American Economic Review, 100(4), 1468-1492. General Medical Council (2009). Good Medical Practice. http://www.gmcuk. org/static/documents/content/GMP_0910.pdf (Accessed 25/8/11) Ginsberg, J., Mohebbi, M., Patel, R., Brammer, L., Smolinski, M., & Brilliant, L. (2009) Detecting influenza epidemics using search engine query data. Nature, 457, 1012–4. Graefe, A. & Armstrong, J. (2011) Comparing face-to-face meetings, nominal groups, Delphi and prediction markets on an estimation task. International Journal of Forecasting, 27(1) special issue on Group-Based Judgmental Forecasting, 183-195. Griffiths, C., Foster, G., Ramsay, J., Eldridge, S., & Taylor, S. (2007). How are expert patient led (lay led) education programmes for chronic disease? British Medical Journal, 334 (7606), 1254. Griffiths, F.E., Lindenmeyer, A., Powell, J., Lowe, P. & Thorogood, M. (2006). Why are health care interventions delivered over the Internet? A review of the published literature. Journal of Medical Internet Research 8(2):e10 http://www.jmir.org/2006/2/e10/ Gross, T. & Sayama, H. (2009). Adaptive Networks: Theory, Models and Applications. Dordrecht: Springer. Hargittai, E., (2010). Digital Na(t)ives? Variation in Internet Skills and Uses among Members of the ‘‘Net Generation’’. Sociological Inquiry, 80(1), 92–113. Hargittai, E. & Hsieh, Y-L.P., (2011). From dabblers to omnivores: a typology of social network site usage. In Papacharissi, Z.A. (Ed.) A networked self: identity, community and culture on social network sites. (pp 146-168). New York: Routledge. Holme, P. & Saramäki, J. (2011). Temporal Networks. arXiv:1108.1780v1 Howe, A., Owen‐Smith, V., & Richardson, J. (2002). The impact of a television soap opera on the NHS Cervical Screening Programme in the North West of England. Journal of Public Health, 24(4), 299-304. Howe, J. 2008. Crowdsourcing: Why the power of the crowd is driving the future of business. New York: Crown Business. Iyengar, R., Van den Bulte, C., & Valente, T. (2011). Opinion leadership and social contagion in new product diffusion. Marketing Science, 30(2), 195–212. Jennifer Trust for Spinal Muscular Atrophy. 2007. 2007 Conference Report. 30th June-1st July, Stratford-Upon- Avon. http://www.jtsma.org.uk/iqs/dbitemid.653/sfa.view/rp.3/news.html (Accessed 27/8/11). Joyce, C., Last, J., & Weatherall, M. (1967). Personal factors as a cause of differences in prescribing by general practitioners. British Journal of Preventative and Social Medicine, 22 (3), 170-177. Kaski, K. (2010). Social complexity: can it be analyzed and modelled? Science and Culture, 76, 357-361. Koh, T., Fichman, M., & Smith, M. (2010) Courting two-timers: multi-homing users’ preferences for two-sided exchange networks. Social Science Research Network, http://ssrn.com/abstract=1635615 (Accessed 25/8/11). Kumar, S., Little, P. & Britten, N. (2003). Why do general practitioners prescribe antibiotics for sore throat? Grounded theory interview study. British Medical Journal, 326, 138-144. Liu, Y-Y., Slotine J-J., Barabási, A-L. (2011). Controllability of complex networks. Nature, 473, 167-173. Lock, M. & Nguyen, V-K. (2010). An Anthropology of Medicine Oxford: Wiley- Blackwell. Mead, N., & Bower, P. (2000). Patient-centredness: a conceptual framework and review of the empirical literature. Social Science & Medicine, 51(7), 1087-1110. Mechanic, D. (2002). Socio-cultural implications of changing organizational technologies in the provision of care. Social Science & Medicine, 54 (3), 459-467. Milewa, T., Harrison. S., Ahmad, W., Tovey, P. (2002)Citizen's participation in primary healthcare planning: innovative citizenship practice in empirical perspective. Critical Public Health, 12(1), 39-53. Miller, J.H. & Page, S.E. (2007). Complex adaptive systems: an introduction to computational models of social life. Princeton: Princeton University Press Mitchell, C. (2003). Autism mailing lists. Health Information on the Internet, 33, 3-4. Mizrachi, N., Shuval, J., & Gross, S. (2005). Boundary at work: alternative medicine in biomedical settings. Sociology of Health & Illness, 27(1), 20-43. Mockford, C., Staniszewsks, S., Griffiths, F., Herron-Marx, S. (2012). The impact of patient and public involvement on UK NHS health care: a systematic review. Int J Qual Health Care, 24 (1): 28-38. doi: 10.1093/intqhc/mzr066 Murie, J., & Douglas-Scott, G. (2004). Developing an evidence base for patient and public involvement. Clinical Governance: An International Journal, 9(3), 147-154. Nambisan, P. (2011). Information seeking and social support in online health communities: impact on patients' perceived empathy. Journal of the American Medical Informatics Association,18, 298-304. New York Times. (2011). 'Computer Wins on 'Jeopardy!': Trivial, It's Not' 16th February. http://www.nytimes.com/2011/02/17/science/17jeopardywatson. html?_r=2&pagewanted=all (Accessed 25/8/11). Nicosia, W., Tang, J., Musoles, M., Russo, G., Mascolo, C. and Latora, V. (2011) Components in time-varying graphs. arXiv:1106.2134v2 Norris, P. (2001). How ‘we’ are different from ‘them’: occupational boundary maintenance in the treatment of musculo-skeletal problems. Sociology of Health & Illness, 23(1), 24-43. Parker, S., Clayton, J., Hancock, K., Walder, S., Butnow, P., Carrick, S., Currow, D., Ghersi, D., Glare, P., Hagerty, R., & Tatterstall, M. (2007). A systematic review of prognostic/end-of-life communication with adults in the advanced stages of a life-limiting illness: patient/caregiver preferences for the content, style, and timing of information. Journal of Pain and Symptom Management, 34(1), 81-93. Pentland, A., Lazer, D., Brewer, D., &Heibeck, T. (2009). Using Reality Mining to Improve Public Health and Medicine. Robert Wood Johnson Foundation http://hd.media.mit.edu/RWJF-Reality-Mining-summary.pdf (Accessed 25/8/11). Polgreen, P., Nelson, F., Neumann, G.. & Weinstein, R. (2007) Use of Prediction Markets to Forecast Infectious Disease Activity. Clinical Infectious Diseases, 44(2), 272- 279. Powell, J. & Clarke, A. (2002). The WWW of the World Wide Web. Journal of Medical Internet Resources, 4, e4. Powell, P., Inglis, N., Ronnie, J. & Large, S., (2011). The Characteristics and Motivations of Online Health Information Seekers: Cross-Sectional Survey and Qualitative Interview Study. Journal of Medical Internet Research, 13(1):e20. doi:10.2196/jmir.1600. Prior, L. (2003). Belief, Knowledge and Expertise: The Emergence of the Lay Expert in Medical Sociology. Sociology of Health and Illness, 25(3), 41-57. Rocha, L. 2010. Self-Organization and Emergent Complex Behaviour. Biologically inspired Computing Lecture Notes, School of Informatics, Indiana University. http://informatics.indiana.edu/rocha/i-bic/lec04.html (Accessed 25/8/11). Sandholm, W. (2008). Learning and evolution in games: an overview. Durlauf, S. & Blume, L. (eds.) The New Palgrave Dictionary of Economics (2nd Ed.) http://0- www.dictionaryofeconomics.com.library.lemoyne.edu/article?id=pde2008_E000241 , DOI: 10.1057/9780230226203.0949, (Accessed 20/9/11). Scambler, A., Scambler, G., & Craig, D. (1981). Kinship and friendship networks and women's demand for primary care. The Journal of the Royal College of General Practitioners, 31(233), 746-750. Scanfield, D., Scanfield, V., & Larson, E. (2010). Dissemination of health information through social networks: Twitter and antibiotics. American Journal of Infection Control, 38 (3), 182-188. Schaffer, R., Kuczybski, K., & Skinner, R. (2007). Producing genetic knowledge and citizenship through the Internet: mothers, paediatric genetics and cybermedicine. Sociology of Health & Illness, 30 (1), 145-159. Scott, J. (2000). Social network analysis: a handbook. London: Sage. Seymour, W., & Lupton, D. (2004). Holding the line online: exploring wired relationships for people with disabilities. Disability & Society, 19 (4), 291-305. Sillence, E., Briggs, P., Harris, P., & Fishwick, L. (2007). How do patients evaluate and make use of online health information? Social Science & Medicine, 64(9), 1853-1862. Situngkir, H. (2004). On Selfish Memes: culture as complex adaptive system Journal of Social Complexity, 2(1), 20-32. Smythe M. (2000).“Have-nets” and “Have-nots” - What Determines Internet Access in New Zealand? Proceedings of the NACCQ 2000 Wellington NZ, 331-334, www.naccq.ac.nz Stewart M. (2001). Towards a global definition of patient-centred care. BMJ, 322, 444-5. Stewart, M., Brown, J., Weston, W., McWhinney, I., McWilliam, C., & Freeman, T. (2003). Patient-Centred Medicine, Transforming the Clinical Method. Abingdon: Radcliffe Medical Press Ltd. Street, R., Makoul, G., Arora, N., & Epstein, R. (2009). How does communication heal? Pathways linking clinician-patient communication to health outcomes. Patient Education and Counseling, 74(3), 295-301. Tardy, R., & Hale, C. (1998). Getting "plugged in": A network analysis of healthinformation seeking among "stay-at-home moms". Communication Monographs, 65(4), 336-357. Tarrant, C., Dixon-Woods, M., Colman, A., & Stokes, T. (2010). Continuity and trust in primary Care: a qualitative study informed by Game Theory. Annals of Family Medicine, 8(5), 440-446. Tucker, A. (2010). Retweet waves: contagion in a social network. Msc Report, Complexity Science DTC, University of Warwick. http://www2.warwick.ac.uk/fac/cross_fac/comcom/dtcsite/people/students2009/tucker/proj-two-report.pdf (Accessed 23/9/11). Turner, J., Grube, J., & Meyers, J. (2001). Developing an optimal match within online communities. Journal of Communication, 51 (2), 231-251. Verma, A., Torun, P., Harris, E, Edwards, R., Gemmell, I., Harrison, R., Buchan, I., Davies, L., Patterson, L., & Heller, R. (2011). Population Impact Analysis: a framework for assessing the population impact of a risk or intervention. Journal of Public Health. DOI: 10.1093. Viswanath, K. & M.W. Kreuter., (2007). Health Disparities, Communication Inequalities, and e-Health: A Commentary. American Journal of Preventive Medicine, 32(5 Suppl), S131–S133. Weyl, E.G. (2010). A price theory of multi-sided platforms. American Economic Review, 100(4), 1642-1672. Weissman, J., Blumenthal, D., Silk, A., Newman, M., Zapert, K., Leitman, R. & Feibelmann, S. (2004). Physicians Report On Patient Encounters Involving Direct-To- Consumer Advertising. Health Affairs, Supp. Web Exclusive (W4), 219-233. White, M., & Dorman, S. (2000). Online Support for Caregivers. Analysis of an Internet Alzheimer Mailgroup. Computers in Nursing, 18(4), 168-179. Wicks, P., Massagli, M., Frost, J., Brownstein, C., Okun, S., Vaughan, T., Bradley, R., & Heywood. J. (2010). Sharing health data for better outcomes on PatientsLikeMe. Journal of Medical Internet Research, 12(2), e19. Williams, C., Mostashari, F., Mertz, K., Hogin, E. & Atwal, P. (2012). From the Office of the National Coordinator: The Strategy for Advancing the Exchange of Health Information. Health Affairs, 31(3), 527-536. Williams, L. (2011) Prediction Markets: Theory and Applications. London: Routledge. Young, P. (1993). The Evolution of Conventions. Econometrica, 61, 57–84. Zhao, K., Stehl´e, J., Bianconi, G. and Barrat, A. (2011) Social network dynamics of face-to-face interactions. arXiv:1102.2423v2
URI:	http://wrap.warwick.ac.uk/id/eprint/49608

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