删除或更新信息,请邮件至freekaoyan#163.com(#换成@)

医疗信息的风险感知

本站小编 Free考研考试/2022-01-01

吕小康1,2, 刘洪志1,2, 付春野3()
1 南开大学周恩来政府管理学院社会心理学系
2 南开大学计算社会科学实验室, 天津 300350
3 天津师范大学心理学部, 天津 300387
收稿日期:2019-10-29出版日期:2020-08-15发布日期:2020-06-28
通讯作者:付春野E-mail:chunyefu1919@163.com

基金资助:* 国家自然科学基金项目(71901126);教育部人文社科基金青年项目(19YJC840030);天津市哲学社会科学规划项目(TJJX18-001);中央高校基本科研业务费专项资金(63202003)

Risk perception of medical information

LYU Xiaokang1,2, LIU Hongzhi1,2, FU Chunye3()
1 Zhou Enlai School of Government, Nankai University, Tianjin 300350, China
2 Computational Social Science Laboratory, Nankai University, Tianjin 300350, China
3 Academy of Psychology and Behavior, Tianjin Normal University, Tianjin 300074, China
Received:2019-10-29Online:2020-08-15Published:2020-06-28
Contact:FU Chunye E-mail:chunyefu1919@163.com






摘要/Abstract


摘要: 从信息加工视角探究个体对医疗信息的风险感知过程, 通过医疗信息来源、医疗信息内容与呈现形式和信息加工主体三个方面归纳其影响因素, 并基于经验-分析式加工理论和字面-要义加工理论探讨医疗信息风险感知的认知机制。今后研究可更注重医疗信息风险感知的通用研究与特殊主题研究的平衡、风险感知测量工具的规范性与特异性的结合, 并立足于中国医疗体系建立具有循证依据的预防措施和配套政策。



图1影响因素与加工机制的整合
图1影响因素与加工机制的整合







[1] 池丽萍, 辛自强. (2019). 社会心理服务体系建设的应然与实然: 基于全国12个试点地区的评估. 心理科学, 42(4), 978-987.
[2] 贺国丽, 王世阆. (2011). 关于“宫颈糜烂”的认识进展. 现代妇产科进展, 20(5), 407-408.
[3] 侯小妮, 孙静. (2015). 北京市三甲医院门诊患者互联网健康信息查寻行为研究. 图书情报工作, 59(20), 126-131.
[4] 贾伟民. (2017). 老年人“朋友圈”更容易传播虚假信息. 中国报业, (21), 52-53.
[5] 李彬, 徐富明, 王伟, 张慧, 罗寒冰. (2015). 决策的加工过程及个体差异: 模糊痕迹理论视角. 心理科学进展, 23(2), 316-324.
[6] 李宁. (2018). 微信中健康养生类谣言的传播规律和特点——以微信朋友圈为例. 青年记者, 598(14), 11-12.
[7] 吕小康, 刘颖, 汪新建, 赵礼. (2018). 医患观念差异与医患沟通现状调研. 中国医院院长, (13), 73-75.
[8] 吕小康, 唐磊, 姜鹤, 汪新建. (2019). 常人疾病观及其对医患关系的影响. 心理科学进展, 27(4), 676-688.
[9] 王洛伟, 辛磊, 林寒, 王伟, 钱维, 樊静, … 李兆申. (2015). 中国消化内镜技术发展现状. 中华消化内镜杂志, 32(8), 501-515.
[10] 汪新建, 张慧娟, 武迪, 吕小康. (2017). 文化对个体风险感知的影响: 文化认知理论的解释. 心理科学进展, 25(8), 1251-1260.
[11] 肖雪, 胡承武. (2017). 互联网法治建设存在的问题及其对策——以“魏则西”事件为例. 法制与社会, (4), 55-56.
[12] 谢幸, 孔北华, 段涛. (编) (2018). 妇产科学. 北京: 人民卫生出版社.
[13] 薛凤霞. (2009). “宫颈糜烂”——一个不恰当的术语. 中国妇产科临床杂志, 10(2), 85-87.
[14] 于贝尔. (2018). 生命的关键决定: 从医生做主到患者赋权 (张琼懿译), 北京: 三联书店.
[15] 岳灵紫, 李纾, 梁竹苑. (2018). 风险决策中的领域特异性. 心理科学进展, 26(5), 928-938.
[16] 郑修霞. (主编). (2017). 妇产科护理学. 北京: 人民卫生出版社.
[17] 中共中央国务院印发《“健康中国2030”规划纲要》. 2019-10-25 取自 http://www.gov.cn/zhengce/2016-10/25/ content_5124174.htm
[18] Ahn, S. J. (2018). Virtual exemplars in health promotion campaigns: Heightening perceived risk and involvement to reduce soft drink consumption in young adults. Journal of Media Psychology, 30(2), 91-103.
[19] Armstrong, P. W., & Naylor, C. D. (2019). Counteracting health misinformation: A role for medical journals? JAMA, 321(19), 1863-1864.
URLpmid: 31009036
[20] Asimakopoulou, K. G., Skinner, T. C., Spimpolo, J., Marsh, S., & Fox, C. (2008). Unrealistic pessimism about risk of coronary heart disease and stroke in patients with type 2 diabetes. Patient Education and Counseling, 71(1), 95-101.
URLpmid: 18242931
[21] Avery, E. G., & Park, S. (2018). HPV vaccination campaign fear visuals: An eye-tracking study exploring effects of visual attention and type on message informative value, recall, and behavioral intentions. Public Relations Review, 44(3), 321-330.
[22] Aycock, D. M., Clark, P. C., & Araya, S. (2019). Measurement and outcomes of the perceived risk of stroke: A review. Western Journal of Nursing Research, 41(1), 134-154.
[23] Barber, S. R., Davies, M. J., Khunti, K., & Gray, L. J. (2014). Risk assessment tools for detecting those with pre-diabetes: A systematic review. Diabetes Research and Clinical Practice. 105(1), 1-13.
URLpmid: 24694663
[24] Barbey, A. K., & Sloman, S. A. (2007). Base-rate respect: From ecological rationality to dual processes. Behavioral and Brain Sciences, 30(3), 241-254.
URLpmid: 17963533
[25] Bassett-Gunter, R. L., Latimer-Cheung, A. E., Martin Ginis, K. A., & Castelhano, M. (2014). I spy with my little eye: Cognitive processing of framed physical activity messages. Journal of Health Communication, 19(6), 676-691.
URLpmid: 24479817
[26] Bekalu, M. A., Bigman, C. A., Mccloud, R. F., Lin, L. K., & Viswanath, K. (2018). The relative persuasiveness of narrative versus non-narrative health messages in public health emergency communication: Evidence from a field experiment. Preventive Medicine, 111, 284-290.
URLpmid: 29154794
[27] Benin, A. L., Wisler-Scher, D. J., Colson, E., Shapiro, E. D., & Holmboe, E. S. (2006). Qualitative analysis of mothers’ decision-making about vaccines for infants: The importance of trust. Pediatrics, 117(5), 1532-1541.
[28] Berkman, N. D., Sheridan, S. L., Donahue, K. E., Halpern, D. J., & Crotty, K. (2011). Low health literacy and health outcomes: An updated systematic review. Annals of Internal Medicine, 155(2), 97-107.
[29] Blalock, S. J., DeVellis, R. F., Chewning, B., Sleath, B. L., & Reyna, V. F. (2016). Gist and verbatim communication concerning medication risks/benefits. Patient Education and Counseling, 99(6), 988-994.
[30] Blumenthal-Barby, J. S., & Krieger, H. (2015). Cognitive biases and heuristics in medical decision making: A critical review using a systematic search strategy. Medical Decision Making, 35(4), 539-557.
URLpmid: 25145577
[31] Bode, L., & Vraga, E. K. (2017). See something, say something: Correction of global health misinformation on social media. Health Communication, 33(9), 1131-1140.
[32] Bompastore, N. J., Cisu, T., & Holoch, P. (2018). Separating the wheat from the chaff: An evaluation of readability, quality, and accuracy of online health information for treatment of peyronie disease. Urology, 118, 59-64.
[33] Brewer, N. T., Chapman, G. B., Gibbons, F. X., Gerrard, M., Mccaul, K. D., & Weinstein, N. D. (2007). Meta-analysis of the relationship between risk perception and health behavior: The example of vaccination. Health Psychology, 26(2), 136-145.
URLpmid: 17385964
[34] Broniatowski, D. A., & Reyna, V. F. (2018). A formal model of fuzzy-trace theory: Variations on framing effects and the Allais Paradox. Decision, 5(4), 205-252.
[35] Brownlie, J., & Howson, A. (2005). “Leaps of faith” and MMR: An empirical study of trust. Sociology, 39(2), 221-239.
[36] Brust-Renck, P. G., Reyna, V. F., Wilhelms, E. A., & Lazar, A. N. (2016). A fuzzy-trace theory of judgment and decision- making in health care: Explanation, prediction, and application. Handbook of Health Decision Science, 71-86.
[37] Carey, M., Herrmann, A., Hall, A., Mansfield, E., Fakes, K., & Hartshorn, K. (2018). Exploring health literacy and preferences for risk communication among medical oncology patients. Plos One, 13(9), e0203988.
[38] Chou, W. Y. S., Oh, A., & Klein, W. M. P. (2018). Addressing health-related misinformation on social media. JAMA, 320(23), 2417-2418.
[39] Chung, S., Mehta, K., Shumway, M., Alvidrez, J., & Perez-Stable, E. J. (2009). Risk perception and preference for prevention of Alzheimer’s disease. Value in Health, 12(4), 450-458.
URLpmid: 19900252
[40] Collins, F. S., Green, E. D., Guttmacher, A. E., & Guyer, M. S. (2003). A vision for the future of genomics research. Nature, 422(6934), 835-847.
URLpmid: 12695777
[41] Colomé, à., Rodríguez-Ferreiro, J., & Tubau, E. (2018). Too worried to judge: On the role of perceived severity in medical decision-making. Frontiers in Psychology, 9, 1-10.
[42] Cozmuta, R., Wilhelms, E., Cornell, D., Nolte, J., Reyna, V., & Fraenkel, L. (2018). Influence of explanatory images on risk perceptions and treatment preference. Arthritis Care and Research, 70(11), 1707-1711.
URLpmid: 29342509
[43] Cutilli, C. C. (2010). Seeking health information: What sources do your patients use? Orthopaedic Nursing, 29(3), 214-219.
doi: 10.1097/NOR.0b013e3181db5471URLpmid: 20505493
[44] de Boer, M. J., Versteegen, G. J., & van Wijhe, M. (2007). Patients’ use of the Internet for pain-related medical information. Patient Education and Counseling, 68(1), 86-97.
URLpmid: 17590563
[45] Dillard, A. J., Ferrer, R. A., Ubel, P. A., & Fagerlin, A. (2012). Risk perception measures’ associations with behavior intentions, affect, and cognition following colon cancer screening messages. Health Psychology, 31(1), 106-113.
URLpmid: 21806302
[46] Dillard, A. J., & Hisler, G. (2015). Enhancing the effects of a narrative message through experiential information processing: An experimental study. Psychology and Health, 30(7), 803-820.
[47] Eddy, D. M. (1982). Clinical policies and the quality of clinical practice. New England Journal of Medicine, 307(6), 343-347.
URLpmid: 7088099
[48] Evans, J. S. B. T. (2008). Dual-processing accounts of reasoning, judgment, and social cognition. Annual Review of Psychology, 59, 255-278.
[49] Ferrer, R. A., & Klein, W. M. (2015). Risk perceptions and health behavior. Current Opinion in Psychology, 5(5), 85-89.
doi: 10.1016/j.copsyc.2015.03.012URL
[50] Ferrer, R. A., Klein, W. M., Persoskie, A., Avishai-Yitshak, A., & Sheeran, P. (2016). The tripartite model of risk perception (TRIRISK): Distinguishing deliberative, affective, and experiential components of perceived risk. Annals of Behavioral Medicine, 50(5), 653-663.
URLpmid: 26961206
[51] Fraenkel, L., Matzko, C. K., Webb, D. E., Oppermann, B., Charpentier, P., Peters, E., … Newman, E. D. (2015). Use of decision support for improved knowledge, values clarification, and informed choice in patients with rheumatoid arthritis. Arthritis Care and Research, 67(11), 1496-1502.
URLpmid: 26195173
[52] Galesic, M., Garcia-Retamero, R., & Gigerenzer, G. (2009). Using icon arrays to communicate medical risks: Overcoming low numeracy. Health Psychology, 28(2), 210-216.
[53] Gao, Q., Zhu, H. W., Dong, L. Q., Shi, W. W., Chen, R., Song, Z. J., ... Fan, J. (2019). Integrated proteogenomic characterization of HBV-related hepatocellular carcinoma. Cell, 179(2), 561-577.
doi: 10.1016/j.cell.2019.08.052URLpmid: 31585088
[54] Gerking, S., & Khaddaria, R. (2012). Perceptions of health risk and smoking decisions of young people. Health Economics, 21(7), 865-877.
URLpmid: 21796724
[55] Gigerenzer, G. (2014). Risk Savvy: How to make good decisions. New York: Penguin Group.
[56] Gigerenzer, G. (2015). Simply rational: Decision making in the real world. New York: Oxford University Press.
[57] Gigerenzer, G., & Edwards, A. (2003). Simple tools for understanding risks: From innumeracy to insight. BMJ, 327(7417), 741-744.
doi: 10.1136/bmj.327.7417.741URLpmid: 14512488
[58] Gu, C., Chan, C. W. H., He, G. P., Choi, K. C., & Yang, S. B. (2013). Chinese women’s motivation to receive future screening: The role of social-demographic factors, knowledge and risk perception of cervical cancer. European Journal of Oncology Nursing, 17(2), 154-161.
URLpmid: 22633087
[59] Hamilton, J. G., & Waters, E. A. (2017). How are multifactorial beliefs about the role of genetics and behavior in cancer causation associated with cancer risk cognitions and emotions in the US population? Psycho- Oncology, 27(2), 640-647.
URLpmid: 29024169
[60] Hobson-West, P. (2007). “Trusting blindly can be the biggest risk of all”: Organised resistance to childhood vaccination in the UK. Sociology of Health & Illness, 29(2), 198-215.
doi: 10.1111/j.1467-9566.2007.00544.xURLpmid: 17381813
[61] Hoffmann, T. C., & del Mar C. (2015). Patients’ expectations of the benefits and harms of treatments, screening, and tests: A systematic review. JAMA Internal Medicine, 175(2), 274-286.
URLpmid: 25531451
[62] Hoffrage, U., Krauss, S., Martignon, L., & Gigerenzer, G. (2015). Natural frequencies improve bayesian reasoning in simple and complex inference tasks. Frontiers in Psychology, 6, 1473.
doi: 10.3389/fpsyg.2015.01473URLpmid: 26528197
[63] Kahan, D. M. (2015). Climate-science communication and the measurement problem. Political Psychology, 36(S1), 1-43.
[64] Kahan, D. M. (2017). “Ordinary science intelligence”: A science-comprehension measure for study of risk and science communication, with notes on evolution and climate change. Journal of Risk Research, 20(8), 995-1016.
[65] Kahan, D. M., Jamieson, K. H., Landrum, A., & Winneg, K. (2017). Culturally antagonistic memes and the Zika virus: An experimental test. Journal of Risk Research, 20(1), 1-40.
[66] Kennedy, A., Lavail, K., Nowak, G., Basket, M., & Landry, S. (2011). Confidence about vaccines in the united states: Understanding parents’ perceptions. Health Affairs, 30(6), 1151-1159.
[67] King, B., Ndoen, E., & Borland, R. (2018). Smokers’ risk perceptions and misperceptions of cigarettes, e-cigarettes and nicotine replacement therapies. Drug and Alcohol Review, 37(6), 810-817.
doi: 10.1111/dar.12829URLpmid: 29920819
[68] Klimaszova, Z., Fazekas, T., & Kuzelova, M. (2018). Adolescents’ knowledge and perception of medicine risk. Pediatrics International, 60(8), 735-742.
URLpmid: 29856497
[69] Kreuter, M. W., Green, M. C., Cappella, J. N., Slater, M. D., Wise, M. E., Storey, D., … Woolley, S. (2007). Narrative communication in cancer prevention and control: A framework to guide research and application. Annals of Behavioral Medicine, 33(3), 221-235.
URLpmid: 17600449
[70] Kumkale, G. T., & Albarracín, D. (2004). The sleeper effect in persuasion: A meta-analytic review. Psychological Bulletin, 130(1), 143-172.
doi: 10.1037/0033-2909.130.1.143URLpmid: 14717653
[71] Levy, A. G., Weinstein, N., Kidney, E., Scheld, S., & Guarnaccia, P. (2008). Lay and expert interpretations of cancer cluster evidence. Risk Analysis, 28(6), 1531-1538.
URLpmid: 18795998
[72] Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N., & Cook, J. (2012). Misinformation and its correction: Continued influence and successful debiasing. Psychological Science in the Public Interest, 13(3), 106-131.
[73] Liana, F., Nowell, W. B., Stake, C. E., Shilpa, V., Rachel, E., George, M., & Peters, E. (2019). The impact of information presentation format on preference for total knee replacement surgery. Arthritis Care and Research, 71(3), 379-384.
[74] Lichtenstein, S., Slovic, P., Fischhoff, B., Layman, M., & Combs, B. (1978). Judged frequency of lethal events. Journal of Experimental Psychology: Human Learning and Memory, 4(6), 551-578.
[75] Liu, S. X., Yang, J. Z., Chu, H., Sun, S., & Li, H. C. (2018). Different culture or different mind? Perception and acceptance of HPV vaccine in China and in the U.S. Journal of Health Communication, 23(12), 1008-1016.
URLpmid: 30346889
[76] Lochbuehler, K., Tang, K. Z., Souprountchouk, V., Campetti, D., Cappella, J. N., Kozlowski, L. T., & Strasser, A. A. (2016). Using eye-tracking to examine how embedding risk corrective statements improves cigarette risk beliefs: Implications for tobacco regulatory policy. Drug and Alcohol Dependence, 164, 97-105.
URLpmid: 27160034
[77] Lu, H., & Schuldt, J. P. (2018). Communicating Zika risk: Using metaphor to increase perceived risk susceptibility. Risk Analysis, 38(12), 2525-2534.
URLpmid: 29486059
[78] Ma, Z. X., & Nan, X. L. (2018). Positive facts, negative stories: Message framing as a moderator of narrative persuasion in antismoking communication. Health Communication, 34(12), 1454-1460.
[79] Marteau, T. M., Hollands, G. J., & Fletcher, P. C. (2012). Changing human behavior to prevent disease: The importance of targeting automatic processes. Science, 337(6101), 1492-1495.
doi: 10.1126/science.1226918URLpmid: 22997327
[80] McGregor, L. M., von Wagner, C., Vart, G., Yuen, W. C., Raine, R., Wardle, J., & Robb, K. A. (2015). The impact of supplementary narrative-based information on colorectal cancer screening beliefs and intention. BMC Cancer, 15(1). 162-170.
[81] Nan, X. L., Dahlstrom, M. F., Richards, A., & Rangarajan, S. (2015). Influence of evidence type and narrative type on HPV risk perception and intention to obtain the HPV vaccine. Health Communication, 30(3), 301-308.
[82] Nikiforov, Y. E., Seethala, R. R., Tallini, G., Baloch, Z. W., Basolo, F., Thompson, L. D., … Ghossein, R. A. (2016). Nomenclature revision for encapsulated follicular variant of papillary thyroid carcinoma: A paradigm shift to reduce overtreatment of indolent tumors. JAMA Oncology, 2(8), 1023-1029.
doi: 10.1001/jamaoncol.2016.0386URLpmid: 27078145
[83] Ng, A. W. T., Poon, S. L., Huang, M. N., Lim, J. Q., Boot, A., Yu, W., ... Rozen, S. G. (2017). Aristolochic acids and their derivatives are widely implicated in liver cancers in Taiwan and throughout Asia. Science Translational Medicine, 9( 412), eaan6446.
URLpmid: 29187645
[84] Nurse, J. R. C., Agrafiotis, I., Goldsmith, M., Creese, S., & Lamberts, K. (2014). Two sides of the coin: Measuring and communicating the trustworthiness of online information. Journal of Trust Management, 1(1), 5-25.
[85] Peikari, H. R., Ramayah, T., Shah, M. H., & Lo, M. C. (2018). Patients’ perception of the information security management in health centers: The role of organizational and human factors. BMC Medical Informatics and Decision Making, 18(1), 102-115.
URLpmid: 30442138
[86] Peters, E., Hibbard, J., Slovic, P., & Dieckmann, N. (2007). Numeracy skill and the communication, comprehension, and use of risk-benefit information. Health Affairs, 26(3), 741-748.
URLpmid: 17485752
[87] Poltorak, M., Leach, M., Fairhead, J., & Cassell, J. (2005). ‘MMR talk’ and vaccination choices: An ethnographic study in Brighton. Social Science and Medicine, 61(3), 709-719.
doi: 10.1016/j.socscimed.2004.12.014URLpmid: 15899328
[88] Power, A. M., Talley, N. J., & Ford, A. C. (2013). Association between constipation and colorectal cancer: Systematic review and meta-analysis of observational studies. The American Journal of Gastroenterology, 108(6), 894-903.
URLpmid: 23481143
[89] Raude, J., Peretti-Watel, P., Ward, J., Flamand, C., & Verger, P., (2018). Are perceived prevalences of infection also biased and how? Lessons from large epidemics of mosquito-borne diseases in tropical regions. Medical Decision Making, 38(3), 377-389.
URLpmid: 29436309
[90] Revenson, T. A., & Pranikoff, J. R. (2005). A contextual approach to treatment decision making among breast cancer survivors. Health Psychology, 24(4, Suppl), S93-S98.
doi: 10.1037/0278-6133.24.4.S93URL
[91] Reyes-Velazquez, W., & Sealey-Potts, C. (2015). Unrealistic optimism, sex, and risk perception of type 2 diabetes onset: Implications for education programs. Diabetes Spectrum, 28(1), 5-9.
doi: 10.2337/diaspect.28.1.5URLpmid: 25717271
[92] Reyna, V. F. (2008). A theory of medical decision making and health: Fuzzy trace theory. Medical Decision Making, 28(6), 850-865.
doi: 10.1177/0272989X08327066URLpmid: 19015287
[93] Reyna, V. F. (2012). Risk perception and communication in vaccination decisions: A fuzzy-trace theory approach. Vaccine, 30(25), 3790-3797.
doi: 10.1016/j.vaccine.2011.11.070URLpmid: 22133507
[94] Reyna, V. F., & Adam, M. B. (2003). Fuzzy-trace theory, risk communication, and product labeling in sexually transmitted diseases. Risk Analysis, 23(2), 325-342.
doi: 10.1111/1539-6924.00332URLpmid: 12731817
[95] Reyna, V. F., & Brainerd, C. J. (2008). Numeracy, ratio bias, and denominator neglect in judgments of risk and probability. Learning and Individual Differences, 18(1), 89-107.
[96] Reyna, V. F., & Casillas, W. (2009). Development and dual processes in moral reasoning: A fuzzy-trace theory approach. Psychology of Learning & Motivation, 50, 207-236.
[97] Reyna, V. F., Nelson, W. L., Han, P. K., & Dieckmann, N. F. (2009). How numeracy influences risk comprehension and medical decision making. Psychological Bulletin, 135(6), 943-973.
URLpmid: 19883143
[98] Schwartz, K. L., Roe, T., Northrup, J., Meza, J., Seifeldin, R., & Neale, A. V. (2006). Family medicine patients’ use of the internet for health information: A metronet study. Journal of the American Board of Family Medicine, 19(1), 39-45.
doi: 10.3122/jabfm.19.1.39URLpmid: 16492004
[99] Sj?berg, L. (2000). Factors in risk perception. Risk Analysis, 20(1), 1-12.
URLpmid: 10795334
[100] Slovic, P. (1987). Perception of risk. Science, 236(4799), 280-285.
URLpmid: 3563507
[101] Slovic, P., Finucane, M., Peters, E., & Macgregor, D. G. (2002). Rational actors or rational fools: Implications of the affect heuristic for behavioral economics. Journal of Socio-Economics, 31(4), 329-342.
[102] Slovic, P., Finucane, M. L., Peters, E., & Macgregor, D. G. (2007). The affect heuristic. European Journal of Operational Research, 177(3), 1333-1352.
[103] Slovic, P., & Peters, E. (2006). Risk perception and affect. Current Directions in Psychological Science, 15(6), 322-325.
[104] Slovic, P., Peters, E., Finucane, M. L., & MacGregor, D. G. (2005). Affect, risk, and decision making. Health Psychology, 24(4S), S35-S40.
URLpmid: 16045417
[105] Smith, S. G., Kobayashi, L. C., Wolf, M. S., Raine, R., Wardle, J., & von Wagner, C. (2016). The associations between objective numeracy and colorectal cancer screening knowledge, attitudes and defensive processing in a deprived community sample. Journal of Health Psychology, 21(8), 1665-1675.
doi: 10.1177/1359105314560919URLpmid: 25512199
[106] Smith, S. G., Raine, R., Obichere, A., Wolf, M. S., Wardle, J., & von Wagner, C. (2015). The effect of a supplementary (“gist-based”) information leaflet on colorectal cancer knowledge and screening intention: A randomized controlled trial. Journal of Behavioral Medicine, 38(2), 261-272.
doi: 10.1007/s10865-014-9596-zURLpmid: 25253443
[107] Stacey, D., Légaré, F., Lewis, K., Barry, M. J., Bennett, C. L., Eden, K. B., … Trevena, L. (2017). Decision aids for people facing health treatment or screening decisions. Cochrane Database Systematic Reviews, 4, CD001431.
URLpmid: 25634135
[108] Stahel, L. E., Stewart, R., Carr, M. M., Goldenberg, D., & Schubart, J. R. (2018). Treatment preferences and decision-making in patients diagnosed with indeterminate thyroid nodules. Thyroid, 27(12), 2862-2864.
[109] Swoboda, C. M., van Hulle, J. M., McAlearney, A. S., & Huerta, T. R. (2018). Odds of talking to healthcare providers as the initial source of healthcare information: Updated cross-sectional results from the health information national trends survey (HINTS). BMC Family Practice, 19(1), 146-155.
[110] Tafazoli, M., & Larki, M. (2016). AIDS risk perception and its related factors in women with high-risk behaviors in Iran. Journal of Midwifery and Reproductive Health, 4(2), 582-591.
[111] Talboy, A. N., & Schneider, S. L. (2018). Improving understanding of diagnostic test outcomes. Medical Decision Making, 38(5), 573-583.
doi: 10.1177/0272989X18758293URLpmid: 29608866
[112] Tangherlini, T. R., Roychowdhury, V., Glenn, B., Crespi, C. M., Bandari, R., Wadia, A., … Bastani, R. (2016). “Mommy blogs” and the vaccination exemption narrative: Results from a machine-learning approach for story aggregation on parenting social media sites. JMIR Public Health and Surveillance, 2(2), e166.
doi: 10.2196/publichealth.6586URLpmid: 27876690
[113] Teresa, G., Michela, S., Francesca, G., Rino, R., Francesca, P., Franca, D. L., & Lorella, L. (2018). Assessing emotions conveyed and elicited by patient narratives and their impact on intention to participate in colorectal cancer screening: A psychophysiological investigation. Plos One, 13(6), e0199882.
doi: 10.1371/journal.pone.0199917URLpmid: 29958278
[114] Tilburt, J. C., James, K. M., Sinicrope, P. S., Eton, D. T., Costello, B. A., Carey, J., … Murad, M. H., (2011). Factors influencing cancer risk perception in high risk populations: A systematic review. Hereditary Cancer in Clinical Practice, 9(1), 2-17.
[115] Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124-1131.
doi: 10.1126/science.185.4157.1124URLpmid: 17835457
[116] Volkman, J. E., Luger, T. M., Harvey, K. L., Hogan, T. P., Shimada, S. L., Amante, D., ... Houston, T. K. (2014). The National Cancer Institute’s health information national trends survey (HINTS): A national cross-sectional analysis of talking to your doctor and other healthcare providers for health information. BMC Family Practice, 15, 111-119.
URLpmid: 24906558
[117] Vosoughi, S., Roy, D., & Aral, S. (2018). The spread of true and false news online. Science, 359(6380), 1146-1151.
doi: 10.1126/science.aap9559URLpmid: 29590045
[118] Vraga, E. K., & Bode, L. (2017). Using expert sources to correct health misinformation in social media. Science Communication, 39(5), 621-645.
[119] Waldron, C.-A., Weijden, T. V. D., Ludt, S., Gallacher, J., & Elwyn, G. (2011). What are effective strategies to communicate cardiovascular risk information to patients? A systematic review. Patient Education and Counseling, 82(2), 169-181.
URLpmid: 20471766
[120] Wang, G. H., Gao, X. L., & Lo, E. C. M. (2015). Public perceptions of dental implants: A qualitative study. Journal of Dentistry, 43(7), 798-805.
doi: 10.1016/j.jdent.2015.04.012URLpmid: 25963587
[121] Waters, E. A., Muff, J., & Hamilton, J. G. (2014). Multifactorial beliefs about the role of genetics and behavior in common health conditions: Prevalence and associations with participant characteristics and engagement in health behaviors. Genetics in Medicine, 16(12), 913-921.
URLpmid: 24830327
[122] Wegwarth, O., & Gigerenzer, G. (2013). Less is more: Overdiagnosis and overtreatment: Evaluation of what physicians tell their patients about screening harms. JAMA Internal Medicine, 173(22), 2086-2087.
doi: 10.1001/jamainternmed.2013.10363URLpmid: 24145597
[123] Wegwarth, O., Schwartz, L. M., Woloshin, S., Gaissmaier, W., & Gigerenzer, G. (2012). Do physicians understand cancer screening statistics? A national survey of primary care physicians in the United States. Annals of International Medicine, 156(5), 340-349.
[124] Wilhelms, E. A., Reyna, V. F., Brust-Renck, P., Weldon, R. B., & Corbin, J. C. (2015). Gist representations and communication of risks about HIV-AIDS: A fuzzy-trace theory approach. Current HIV Research, 13(5), 399-407.
doi: 10.2174/1570162x13666150511142748URLpmid: 26149161
[125] Winter, J., & Wuppermann, A. (2014). Do they know what is at risk? Health risk perception among the obese. Health Economics, 23(5), 564-585.
doi: 10.1002/hec.2933URL
[126] Wiseman, K. P., & Klein, W. M. P. (2019). Evaluating correlates of awareness of the association between drinking too much alcohol and cancer risk in the United States. Cancer Epidemiology, Biomarkers & Prevention, 28(7), 1195-1201.
doi: 10.1158/1055-9965.EPI-18-1010URLpmid: 31043419
[127] Woudstra, A. J., Smets, E. M. A., Dekker, E., Broens, T. H. F., Penning, G., Smith, S., ... Fransen, M. P. (2019). Development and pilot-testing of a colorectal cancer screening decision aid for individuals with varying health literacy levels. Patient Education and Counseling, 102(10), 1847-1858.
doi: 10.1016/j.pec.2019.04.029URLpmid: 31064682
[128] Zhao, L., Li, D., Zheng, H., Chang, X., Cui, J., Wang, R., ... Liang, F. (2019). Acupuncture as adjunctive therapy for chronic stable angina: A randomized clinical trial. JAMA Internal Medicine, 179(10), 1388-1397.
doi: 10.1001/jamainternmed.2019.2407URL
[129] Zhou, M. G., Wang, H. D., Zeng, X. Y., Yin, P., Zhu, J., … Liang, X. F. (2019). Mortality, morbidity, and risk factors in China and its provinces, 1990-2017: A systematic analysis for the global burden of disease study 2017. The Lancet, 394(10204), 1145-1158.
doi: 10.1016/S0140-6736(19)30427-1URL
[130] Zikmund-Fisher, B. J., Fagerlin, A., & Ubel, P. A. (2010). Risky feelings: Why a 6% risk of cancer does not always feel like 6%. Patient Education and Counseling, 81(supp-S1), S87-S93.
doi: 10.1016/j.pec.2010.07.041URL




[1]汪新建, 张慧娟, 武迪, 吕小康. 文化对个体风险感知的影响: 文化认知理论的解释[J]. 心理科学进展, 2017, 25(8): 1251-1260.
[2]相鹏;耿柳娜;周可新; 程枭. 空气污染的不良效应及理论模型:环境心理学的视角[J]. 心理科学进展, 2017, 25(4): 691-700.
[3]李凯;郭永玉;杨沈龙. 民众对于恐怖袭击的风险感知[J]. 心理科学进展, 2017, 25(2): 358-369.
[4]李爱梅;谭磊;孙海龙; 熊冠星;潘集阳. 睡眠剥夺影响风险决策的双系统模型探讨[J]. 心理科学进展, 2016, 24(5): 804-814.





PDF全文下载地址:

http://journal.psych.ac.cn/xlkxjz/CN/article/downloadArticleFile.do?attachType=PDF&id=5132
相关话题/心理 科学 信息 医疗 文化