Doctor–patient relationship strength’s impact in an online healthcare community

References

• Akerkar, S. M., & Bichile, L. (2004). Doctor patient relationship: Changing dynamics in the information age. Journal of Postgraduate Medicine, 50(2), 120–122.
   PubMedGoogle Scholar
• Andreassen, H. K., Trondsen, M., Kummervold, P. E., Gammon, D., & Hjortdahl, P. (2006). Patients who use e-mediated communication with their doctor: New constructions of trust in the patient-doctor relationship. Qualitative Health Research, 16(2), 238–248. doi: 10.1177/1049732305284667
   PubMed Web of Science ®Google Scholar
• Baker, L., Wagner, T. H., Singer, S., & Bundorf, M. K. (2003). Use of the Internet and e-mail for health care information: Results from a national survey. The Journal of the American Medical Association, 289(18), 2400–2406. doi: 10.1001/jama.289.18.2400
   PubMed Web of Science ®Google Scholar
• Bakshy, E., Rosenn, I., Marlow, C., & Adamic, L. (2012). The role of social networks in information diffusion. Paper presented at the Proceedings of the 21st international conference on World Wide Web, Lyon, France.
   Google Scholar
• Baron, L. F., & Gomez, R. (2013). Relationships and connectedness: Weak ties that help social inclusion through public access computing. Information Technology for Development, 19(4), 271–295. doi: 10.1080/02681102.2012.755896
   Web of Science ®Google Scholar
• Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173–1182. doi: 10.1037/0022-3514.51.6.1173
   PubMed Web of Science ®Google Scholar
• Beaudoin, C. E., & Tao, C.-C. (2007). Benefiting from social capital in online support groups: An empirical study of cancer patients. CyberPsychology & Behavior, 10(4), 587–590. doi: 10.1089/cpb.2007.9986
   PubMedGoogle Scholar
• Bian, Y. (1997). Bringing strong ties back in: Indirect ties, network bridges, and job searches in China. American Sociological Review, 62(3), 366–385. doi: 10.2307/2657311
   Web of Science ®Google Scholar
• Boon, H., & Stewart, M. (1998). Patient-physician communication assessment instruments: 1986 to 1996 in review. Patient Education and Counseling, 35(3), 161–176. doi: 10.1016/S0738-3991(98)00063-9
   PubMed Web of Science ®Google Scholar
• Burke, M. (2012). Reading, writing, relationships: The impact of social network sites on relationships and well-being (Dissertations & Thesis – Gradworks). Retrieved from http://search.proquest.com/docview/1030427751.
   Google Scholar
• Burke, M., & Kraut, R. E. (2014). Growing closer on facebook: Changes in tie strength through social network site use. Paper presented at the Proceedings of the SIGCHI Conference on human factors in computing systems, Toronto, Ontario, Canada.
   Google Scholar
• Burke, M., & Kraut, R. E. (2016). The Relationship between Facebook use and well-being depends on communication type and tie strength. Journal of Computer-Mediated Communication, 21(4), 265–281. doi: 10.1111/jcc4.12162
   Web of Science ®Google Scholar
• Callahan, E., & Bertakis, K. (1993). A comparison of physician-patient interaction at fee-for-service and HMO sites. Family Practice Research Journal, 13(2), 171–178.
   PubMedGoogle Scholar
• Coleman, J. S. (1994). Foundations of social theory. Cambridge, MA: Harvard University Press.
   Google Scholar
• Devaraj, S., Ow, T. T., & Kohli, R. (2013). Examining the impact of information technology and patient flow on healthcare performance: A Theory of Swift and Even Flow (TSEF) Perspective. Journal of Operations Management, 31(4), 181–192. doi: 10.1016/j.jom.2013.03.001
   Web of Science ®Google Scholar
• Dimoka, A., Hong, Y., & Pavlou, P. A. (2012). On product uncertainty in online markets: Theory and evidence. MIS Quarterly, 36(2), 395–426.
   Web of Science ®Google Scholar
• Ellison, N. B., Steinfield, C., & Lampe, C. (2007). The benefits of Facebook “friends”: Social capital and college students’ use of online social network sites. Journal of Computer-Mediated Communication, 12(4), 1143–1168. doi: 10.1111/j.1083-6101.2007.00367.x
   Web of Science ®Google Scholar
• Emanuel, E. J., & Emanuel, L. L. (1992). Four models of the physician-patient relationship. Journal of the American Medical Association, 267(16), 2221–2226. doi: 10.1001/jama.1992.03480160079038
   PubMed Web of Science ®Google Scholar
• Eysenbach, G., Powell, J., Englesakis, M., Rizo, C., & Stern, A. (2004). Health related virtual communities and electronic support groups: Systematic review of the effects of online peer to peer interactions. British Medical Journal, 328(7449), 1166–1170. doi: 10.1136/bmj.328.7449.1166
   PubMed Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. doi: 10.2307/3151312
   Web of Science ®Google Scholar
• Gans, H. J. (1962). The urban villagers: Group and class in the life of Italians-Americans. New York, NY: Free Press of Glencoe.
   Google Scholar
• Gao, G. G., Greenwood, B. N., Agarwal, R., & McCullough, J. (2015). Vocal minority and silent majority: How do online ratings reflect population perceptions of quality? MIS Quarterly, 39(3), 565–589. doi: 10.25300/MISQ/2015/39.3.03
   Web of Science ®Google Scholar
• Gilbert, E., & Karahalios, K. (2009). Predicting tie strength with social media. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Boston, MA.
   Google Scholar
• Glaeser, E. L., Laibson, D., & Sacerdote, B. (2002). An economic approach to social capital. The Economic Journal, 112(483), F437–F458. doi: 10.1111/1468-0297.00078
   Web of Science ®Google Scholar
• Goh, J. M., Gao, G. G., & Agarwal, R. (2016). The creation of social value: Can an online health community reduce rural–urban health disparities. MIS Quarterly, 40(1), 247–263. doi: 10.25300/MISQ/2016/40.1.11
   Web of Science ®Google Scholar
• Goldstein, S. M., Ward, P. T., Leong, G. K., & Butler, T. W. (2002). The effect of location, strategy, and operations technology on hospital performance. Journal of Operations Management, 20(1), 63–75. doi: 10.1016/S0272-6963(01)00081-X
   Web of Science ®Google Scholar
• Granovetter, M. (1983). The strength of weak ties: A network theory revisited. Sociological Theory, 1(1), 201–233. doi: 10.2307/202051
   Google Scholar
• Granovetter, M. (1985). Economic action and social structure: The problem of embeddedness. American Journal of Sociology, 91(3), 481–510. doi: 10.1086/228311
   Web of Science ®Google Scholar
• Granovetter, M. (2005). The impact of social structure on economic outcomes. The Journal of Economic Perspectives, 19(1), 33–50. doi: 10.1257/0895330053147958
   Web of Science ®Google Scholar
• Granovetter, M. S. (1973). The strength of weak ties. American Journal of Sociology, 78(6), 1360–1380. doi: 10.1086/225469
   Web of Science ®Google Scholar
• Haythornthwaite, C. (2002). Strong, weak, and latent ties and the impact of new media. The Information Society, 18(5), 385–401. doi: 10.1080/01972240290108195
   Web of Science ®Google Scholar
• Inui, T. S., Carter, W. B., Kukull, W. A., & Haigh, V. H. (1982). Outcome-based doctor-patient interaction analysis: I. Comparison of techniques. Medical Care, 20(6), 535–549. doi: 10.1097/00005650-198206000-00001
   PubMed Web of Science ®Google Scholar
• Johnston, A. C., Worrell, J. L., Di Gangi, P. M., & Wasko, M. (2013). Online health communities: An assessment of the influence of participation on patient empowerment outcomes. Information Technology & People, 26(2), 213–235. doi: 10.1108/ITP-02-2013-0040
   Web of Science ®Google Scholar
• Jöreskog, K. G. (1971). Simultaneous factor analysis in several populations. Psychometrika, 36(4), 409–426. doi: 10.1007/BF02291366
   Web of Science ®Google Scholar
• Källander, K., Tibenderana, J. K., Akpogheneta, O. J., Strachan, D. L., Hill, Z., ten Asbroek, A. H., … Meek, S. R. (2013). Mobile health (mHealth) approaches and lessons for increased performance and retention of community health workers in low-and middle-income countries: A review. Journal of Medical Internet Research, 15(1), e17. doi: 10.2196/jmir.2130
   PubMed Web of Science ®Google Scholar
• Kenny, D. A., Veldhuijzen, W., Weijden, T. v. d., LeBlanc, A., Lockyer, J., Légaré, F., & Campbell, C. (2010). Interpersonal perception in the context of doctor–patient relationships: A dyadic analysis of doctor–patient communication. Social Science & Medicine, 70(5), 763–768. doi: 10.1016/j.socscimed.2009.10.065
   PubMed Web of Science ®Google Scholar
• Kowlaser, K., & Barnard, H. (2015). Tie breadth, tie strength and the location of ties: The value of ties inside an emerging MNC to team innovation. International Journal of Innovation Management, 20(01), 1.
   Google Scholar
• Lin, N. (1999a). Building a network theory of social capital. Connections, 22(1), 28–51.
   Google Scholar
• Lin, N. (1999b). Social networks and status attainment. Annual Review of Sociology, 25, 467–487. doi: 10.1146/annurev.soc.25.1.467
   Web of Science ®Google Scholar
• Lin, N., Ensel, W. M., & Vaughn, J. C. (1981). Social resources and strength of ties: Structural factors in occupational status attainment. American Sociological Review, 46(4), 393–405. doi: 10.2307/2095260
   Web of Science ®Google Scholar
• Macy, M. W. (1991). Chains of cooperation: Threshold effects in collective action. American Sociological Review, 56(6), 730–747. doi: 10.2307/2096252
   Web of Science ®Google Scholar
• Makoul, G., Arntson, P., & Schofield, T. (1995). Health promotion in primary care: Physician-patient communication and decision making about prescription medications. Social Science & Medicine, 41(9), 1241–1254. doi: 10.1016/0277-9536(95)00061-B
   PubMed Web of Science ®Google Scholar
• McLennan, S. J. (2016). Techno-optimism or information imperialism: Paradoxes in online networking, social media and development. Information Technology for Development, 22(3), 380–399. doi:10.1080/02681102.2015.1044490
   Web of Science ®Google Scholar
• Morales-Gómez, D., & Melesse, M. (1998). Utilising information and communication technologies for development: The social dimensions. Information Technology for Development, 8(1), 3–13. doi: 10.1080/02681102.1998.9525287
   Google Scholar
• Nahapiet, J., & Ghoshal, S. (1998). Social capital, intellectual capital, and the organizational advantage. Academy of Management Review, 23(2), 242–266.
   Web of Science ®Google Scholar
• Newman, M., Barabási, A.-L., & Watts, D. J. (2006). The structure and dynamics of networks. Princeton, NJ: Princeton University Press.
   Google Scholar
• Ong, L. M., De Haes, J. C., Hoos, A. M., & Lammes, F. B. (1995). Doctor–patient communication: A review of the literature. Social Science & Medicine, 40(7), 903–918. doi: 10.1016/0277-9536(94)00155-M
   PubMed Web of Science ®Google Scholar
• Pénard, T., & Poussing, N. (2010). Internet use and social capital: The strength of virtual ties. Journal of Economic Issues, 44(3), 569–595. doi: 10.2753/JEI0021-3624440301
   Web of Science ®Google Scholar
• Petróczi, A., Nepusz, T., & Bazsó, F. (2007). Measuring tie-strength in virtual social networks. Connections, 27(2), 39–52.
   Google Scholar
• Queenan, C. C., Angst, C. M., & Devaraj, S. (2011). Doctors’ orders – If they’re electronic, do they improve patient satisfaction? A complements/substitutes perspective. Journal of Operations Management, 29(7), 639–649. doi: 10.1016/j.jom.2011.03.001
   Web of Science ®Google Scholar
• Resnick, P. (2002). Beyond bowling together: Sociotechnical capital. In J. M. Carroll (Ed.), Human-computer interaction in the new millennium, (pp. 247–272). Reading, MA: Addison-Wesle.
   Google Scholar
• Roter, D. L., & Hall, J. A. (1989). Studies of doctor-patient interaction. Annual Review of Public Health, 10(1), 163–180. doi: 10.1146/annurev.pu.10.050189.001115
   PubMed Web of Science ®Google Scholar
• Sandefur, R. L., & Laumann, E. O. (1998). A paradigm for social capital. Rationality and Society, 10(4), 481–501. doi: 10.1177/104346398010004005
   Web of Science ®Google Scholar
• Schirmer, J. M., Mauksch, L., Lang, F., Marvel, M. K., Zoppi, K., Epstein, R. M., … Pryzbylski, M. (2005). Assessing communication competence: A review of current tools. Family Medicine, 37(3), 184–192.
   PubMed Web of Science ®Google Scholar
• Setia, P., Setia, M., Krishnan, R., & Sambamurthy, V. (2011). The effects of the assimilation and use of IT applications on financial performance in healthcare organizations. Journal of the Association for Information Systems, 12(3), 274–298. doi: 10.17705/1jais.0060
   Web of Science ®Google Scholar
• Stokes, J. P. (1983). Predicting satisfaction with social support from social network structure. American Journal of Community Psychology, 11(2), 141–152. doi: 10.1007/BF00894363
   Web of Science ®Google Scholar
• Uzzi, B. (1997). Social structure and competition in interfirm networks: The paradox of embeddedness. Administrative Science Quarterly, 42(1), 35–67. doi: 10.2307/2393808
   Web of Science ®Google Scholar
• Wald, H. S., Dube, C. E., & Anthony, D. C. (2007). Untangling the Web – the impact of internet use on health care and the physician–patient relationship. Patient Education and Counseling, 68(3), 218–224. doi: 10.1016/j.pec.2007.05.016
   PubMed Web of Science ®Google Scholar
• Wasko, M. M., & Faraj, S. (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 29(1), 35–57. doi: 10.2307/25148667
   Web of Science ®Google Scholar
• Wellman, B., & Berkowitz, S. D. (1988). Social structures: A network approach (Vol. 2). Cambridge: CUP Archive.
   Google Scholar
• Wolraich, M. L., Albanese, M., Stone, G., Nesbitt, D., Thomson, E., Shymansky, J., … Hanson, J. (1986). Medical communication behavior system: An interactional analysis system for medical interactions. Medical Care, 24(10), 891–903. doi: 10.1097/00005650-198610000-00003
   PubMed Web of Science ®Google Scholar
• Yan, L., & Tan, Y. (2014). Feeling blue? Go online: An empirical study of social support among patients. Information Systems Research, 25(4), 690–709. doi: 10.1287/isre.2014.0538
   Web of Science ®Google Scholar