A Bitter Pill to Swallow? The Consequences of Patient Evaluation in Online Health Question-and-Answer Platforms

References

• Agarwal R, Gao G, DesRoches C, Jha AK (2010) The digital transformation of healthcare: Current status and the road ahead. Inform. Systems Res. 21(4):796–809.Link, Google Scholar
• Anderson R, Barbara A, Feldman S (2007) What patients want: A content analysis of key qualities that influence patient satisfaction. J. Medical Practice Management 22(5):255–261.Google Scholar
• Angst CM, Agarwal R (2017) Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion. MIS Quart. 33(2):339.Crossref, Google Scholar
• Angst CM, Agarwal R, Sambamurthy V, Kelley K (2010) Social contagion and information technology diffusion: The adoption of electronic medical records in U.S. hospitals. Management Sci. 56(8):1219–1241.Link, Google Scholar
• Atasoy H, Chen Pu, Ganju K (2018a) The spillover effects of health IT investments on regional healthcare costs. Management Sci. 64(6):2515–2534.Link, Google Scholar
• Atasoy H, Demirezen EM, Chen PY (2018b) Impacts of patient characteristics and care fragmentation on the value of HIEs. Fox School of Business Research Paper No. 18-035. http://dx.doi.org/10.2139/ssrn.3191566.Google Scholar
• Bae BJ, Yi YJ (2017) What answers do questioners want on social Q&A? User preferences of answers about STDs. Internet Res. 27(5):1104–1121.Crossref, Google Scholar
• Baidu Baike (2019a) Hospital classification standard. Retrieved March 21, https://baike.baidu.com/item/医院等级划分标准.Google Scholar
• Baidu Baike (2019b) 120ask.com. Retrieved March 21, https://baike.baidu.com/item/有问必答网/4709400?fr=aladdin.Google Scholar
• Bass SB, Ruzek SB, Gordon TF, Fleisher L, McKeown-Conn N, Moore D (2006) Relationship of Internet health information use with patient behavior and self-efficacy: Experiences of newly diagnosed cancer patients who contact the National Cancer Institute’s Cancer Information Service. J. Health Comm. 11(2):219–236.Crossref, Google Scholar
• Bavafa H, Hitt LM, Terwiesch C (2018) The impact of e-visits on visit frequencies and patient health: Evidence from primary care. Management Sci. 64(12):5461–5480.Google Scholar
• Cao X, Liu Y, Zhu Z, Hu J, Chen X (2017) Online selection of a physician by patients: Empirical study from elaboration likelihood perspective. Comput. Human Behav. 73:403–412.Crossref, Google Scholar
• Case DO, Andrews JE, Johnson JD, Allard SL (2005) Avoiding vs. seeking: The relationship of information seeking to avoidance, blunting, coping, dissonance, and related concepts. J. Medical Library Assoc. 93(3):353–362.Google Scholar
• Chaiken S (1987) The heuristic model of persuasion. Zanna M, Olson J, Herman C, eds. Social influence: The Ontario Symposium, Vol. 5 (Lawrence Erlbaum, Hillsdale, NJ), 3–39.Google Scholar
• Chaiken S, Trope Y, eds. (1999) Dual-Process Theories in Social Psychology (Guilford Press, New York).Google Scholar
• Changyexinxi (2017) Analysis of the survival status of Chinese doctors, 2017. Retrieved March 21, 2019, http://www.chyxx.com/industry/201710/570290.html.Google Scholar
• Festinger L (1962) Cognitive dissonance. Sci. Amer. 207(4):93–106.Crossref, Google Scholar
• Francis V, Korsch BM, Morris MJ (2010) Gaps in doctor-patient communication. New England J. Med. 280(10):535–540.Crossref, Google Scholar
• Gao G, Greenwood BN, Agarwal R, McCullough JS (2015) Vocal minority and silent majority: How do online ratings reflect population perceptions of quality? MIS Quart. 39(3):565–589.Crossref, Google Scholar
• Gerard HB, White GL (1983) Post-decisional reevaluation of choice alternatives. Personality Social Psych. Bull. 9(3):365–369.Crossref, Google Scholar
• Ghose A, Guo X, Li B, Dang Y (2021) Empowering patients using smart mobile health platforms: Evidence from a randomized field experiment. Preprint, submitted February 10, https://arxiv.org/abs/2102.05506.Google Scholar
• Glöckner A, Witteman C (2010) Beyond dual-process models: A categorisation of processes underlying intuitive judgement and decision making. Thinking Reasoning 16(1):1–25.Crossref, Google Scholar
• Guo X, Dang Y, Gu B, He Y, Chen W (2017) The crowding out effect of monetary incentives—Evidence from a natural experiment on online healthcare platforms. INFORMS 9th Conf. Inform. Systems, Houston, TX.Google Scholar
• Hao H, Zhang K, Wang W, Gao G (2017) A tale of two countries: International comparison of online doctor reviews between China and the United States. Internat. J. Medical Inform. 99:37–44.Crossref, Google Scholar
• Harper FM, Moy D, Konstan JA (2009) Facts or friends? Distinguishing informational and conversational questions in social Q&A sites. Proc. SIGCHI Conf. Human Factors Comput. Systems (Association for Computing Machinery, New York), 759–768.Google Scholar
• Hart W, Albarracín D, Eagly AH, Brechan I, Lindberg MJ, Merrill L (2009) Feeling validated vs. being correct: A meta-analysis of selective exposure to information. Psych. Bull. 135(4):555–588.Crossref, Google Scholar
• Haskard Zolnierek KB, Dimatteo MR (2009) Physician communication and patient adherence to treatment: A meta-analysis. Medical Care 47(8):826–834.Crossref, Google Scholar
• Hornik K, Stinchcombe M, White H (1989) Multilayer feedforward networks are universal approximators. Neural Networks 2(5):359–366.Crossref, Google Scholar
• Huang CL, Chung CK, Hui N, Lin YC, Seih YT, Lam BCP, Chen WC, Bond MH, Pennebaker JW (2012) The development of the Chinese Linguistic Inquiry and Word Count dictionary. Chinese J. Psych. 54(2):185–201.Google Scholar
• Hyman HH, Sheatsley PB (1947) Some reasons why information campaigns fail. Public Opinion Quart. 11(3):412–423.Google Scholar
• Izuma K, Matsumoto M, Murayama K, Samejima K, Sadato N, Matsumoto K (2010) Neural correlates of cognitive dissonance and choice-induced preference change. Proc. Natl. Acad. Sci. USA 107(51):22014–22019.Crossref, Google Scholar
• Jain SP, Maheswaran D (2002) Motivated reasoning: A depth‐of‐processing perspective. J. Consumer Res. 26(4):358–371.Crossref, Google Scholar
• Jin J, Yan X, Li Y, Li Y (2016) How users adopt healthcare information: An empirical study of an online Q&A community. Internat. J. Medical Inform. 86:91–103.Crossref, Google Scholar
• Kaplan SH, Greenfield S, Ware JE (1989) Assessing the effects of physician-patient interactions on the outcomes of chronic disease. Medical Care 27(3, Suppl)S110–S127.Crossref, Google Scholar
• Kim S, Oh JS, Oh S (2007) Best-answer selection criteria in a social Q&A site from the user-oriented relevance perspective. Proc. Amer. Soc. Inform. Sci. Tech. 44(1):1–15.Google Scholar
• Kunda Z (1990) The case for motivated reasoning. Psych. Bull. 108(3):480–498.Crossref, Google Scholar
• Lapointe L, Ramaprasad J, Vedel I (2014) Creating health awareness: A social media enabled collaboration. Health Tech. 4(1):43–57.Crossref, Google Scholar
• Liu X, Yao Y, Deng Z (2017) An empirical study of customer satisfaction and loyalty on health websites. WHICEB 2017 Proc., vol. 1 (Association for Information Systems, Atlanta), 621–630.Google Scholar
• Liu TX, Yang J, Adamic LA, Chen Y (2014) Crowdsourcing with all-pay auctions: A field experiment on Taskcn. Management Sci. 60(8):2020–2037.Google Scholar
• Lu SF, Rui H (2015) Can we trust online physician ratings? Evidence from cardiac surgeons in Florida. Proc. 48th Annual Hawaii Internat. Conf. Systems Sci. (Institute of Electrical and Electronics Engineers, Piscataway, NJ), 2876–2885.Google Scholar
• Meservy TO, Jensen ML, Fadel KJ (2014) Evaluation of competing candidate solutions in electronic networks of practice. Inform. Systems Res. 25(1):15–34.Link, Google Scholar
• Mishra AN, Anderson C, Angst CM, Agarwal R (2012) Electronic health records assimilation and physician identity evolution: An identity theory perspective. Inform. Systems Res. 23(3 part 1):738–760.Link, Google Scholar
• Morris MR, Teevan J, Panovich K (2010) What do people ask their social networks, and why? A survey study of status message Q&A behavior. Proc. SIGCHI Conf. Human Factors Comput. Systems (Association for Computing Machinery, New York), 1739–1748.Google Scholar
• National Health Commission of the People's Republic of China (2016) The 3rd national health service investigation and analysis. Accessed August 10, 2022, http://www.nhc.gov.cn/wjw/index.shtml.Google Scholar
• Nickerson RS, Bias C (1998) A ubiquitous phenomenon in many guises. Rev. General Psych. 2(2):175–220.Crossref, Google Scholar
• Nie L, Li T, Akbari M, Shen J, Chua TS (2014) WenZher: Comprehensive vertical search for healthcare domain. Proc. 37th Internat. ACM SIGIR Conf. Res. Development Inform. Retrieval (Association for Computing Machinery, New York), 1245–1246.Google Scholar
• Oh S, Yi YJ, Worrall A (2012) Quality of health answers in social Q&A. Proc. Amer. Soc. Inform. Sci. Tech. 49(1):1–6.Google Scholar
• Pohl RF (2004) Cognitive Illusions: A Handbook on Fallacies and Biases in Thinking, Judgement and Memory (Psychology Press, London).Google Scholar
• Reach G (2015) Patients’ nonadherence and doctors’ clinical inertia: Two faces of medical irrationality. Diabetes Management 5(3):167–181.Crossref, Google Scholar
• Rhee KJ, Bird J (1996) Perceptions and satisfaction with emergency department care. J. Emergency Med. 14(6):679–683.Crossref, Google Scholar
• Ribeiro MT, Singh S, Guestrin C (2016) “Why should I trust you?” Explaining the predictions of any classifier. Proc. 22nd ACM SIGKDD Internat. Conf. Knowledge Discovery Data Mining(Association for Computing Machinery, New York), 1135–1144.Google Scholar
• Rodoletz M, Mangan CE, Miller SM, Sedlacek TV, Schroeder CM (2005) Applications of the monitoring process model to coping with severe long-term medical threats. Health Psych. 15(3):216–225.Google Scholar
• Schmittdiel J, Grumbach K, Selby JV, Quesenberry CP (2000) Effect of physician and patient gender concordance on patient satisfaction and preventive care practices. J. General Internal Med. 15(11):761–769.Crossref, Google Scholar
• Shah C, Oh S, Oh JS (2009) Research agenda for social Q&A. Library Inform. Sci. Res. 31(4):205–209.Crossref, Google Scholar
• Sohu (2015) Blind trust in online doctors almost delayed the treatment until it is too late. Accessed March 21, 2019, http://www.sohu.com/a/32011460_160929.Google Scholar
• Sohu (2017) How many doctors and nurses are there? Here are the offical figures. Accessed March 21, 2019, https://www.sohu.com/a/192148447_758942.Google Scholar
• Song Y, Sahoo N, Ofek E (2019) When and how to diversify—A multi-category utility model for personalized content recommendation. Management Sci. 65(8):3737–3757.Google Scholar
• Svenson O (1992) Differentiation and consolidation theory of human decision making: A frame of reference for the study of pre- and post-decision processes. Acta Psychologica 80(1–3):143–168.Crossref, Google Scholar
• Sweeny K, Melnyk D, Miller W, Shepperd JA (2010) Information avoidance: Who, what, when, and why. Rev. General Psych. 14(4):340–353.Crossref, Google Scholar
• Trope Y (1979) Uncertainty-reducing properties of achievement tasks. J. Personality Soc. Psych. 37(9):1505–1518.Crossref, Google Scholar
• Trope Y, Bassok M (1982) Confirmatory and diagnosing strategies in social information gathering. J. Personality Soc. Psych. 43(1):22–34.Crossref, Google Scholar
• Trumbo CW (1999) Heuristic-systematic information processing and risk judgment. Risk Anal. 19(3):391–400.Crossref, Google Scholar
• Wang W, Wu Y, Liang C (2020) The responsibility and risk prevention of online healthcare. Accessed August 10, 2022, https://www.sohu.com/a/426068207_120051855.Google Scholar
• Wei Z, Watts SA (2008) Capitalizing on content: Information adoption in two online communities. J. Assoc. Inform. Systems 9(2):72–93.Google Scholar
• Wu B (2018) Patient continued use of online healthcare communities: Web mining of patient-doctor communication. J. Med. Internet Res. 20(4):e126.Crossref, Google Scholar
• Yan L, Tan Y (2014) Feeling blue? Go online: An empirical study of social support among patients. Inform. Systems Res. 25(4):690–709.Link, Google Scholar
• Yang J, Adamic LA, Ackerman MS (2008) Crowdsourcing and knowledge sharing. Proc. Ninth ACM Conf. Electronic Commerce (Association for Computing Machinery, New York), 246–255.Google Scholar
• Yaraghi N, Du AY, Sharman R, Gopal RD, Ramesh R (2015) Health information exchange as a multisided platform: Adoption, usage, and practice involvement in service co-production. Inform. Systems Res. 26(1):1–18.Link, Google Scholar
• Yi YJ (2018) Sexual health information-seeking behavior on a social media site: Predictors of best answer selection. Online Inform. Rev. 42(6):880–897.Crossref, Google Scholar
• Zhang Y (2010) Contextualizing consumer health information searching. Proc. First ACM Internat. Health Inform. Sympos. (Association for Computing Machinery, New York), 210–219.Crossref, Google Scholar
• Zhang Z, Beck MW, Winkler DA, Huang B, Sibanda W, Goyal H(2018) Opening the black box of neural networks: methods for interpreting neural network models in clinical applications. Ann. Translational Medicine 6(11):216–216.Google Scholar