|
|
|
| Effects of Online Surrogate Health Information Seeking on Health Behaviors and Health Levels of Supported People |
| Song Xiaokang1, Zhao Yuxiang2, Zhu Qinghua3 |
1.School of Management, Xuzhou Medical University, Xuzhou 221004
2.School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094
3.School of Information Management, Nanjing University, Nanjing 210023 |
|
|
|
|
Abstract Surrogate Health Information Seeking, which is based on interpersonal cooperation, has become a common phenomenon in the Internet environment. This study considers the digital immigrant group as the research object, and applies the propensity score matching method to study the effects of online surrogate health information seeking on the health behaviors and health levels of the supported people. In this study, 1063 valid data were collected by a questionnaire survey. A logistic regression model was used to calculate the propensity score of the covariates. Based on the propensity score, the participants were matched into the experimental and control groups. Subsequently, by calculating the value of the average treatment effect, the causal relationships between surrogate health information seeking and health behaviors and health levels were analyzed. Simultaneously, the reliability of the research results was ensured through a balance test and sensitivity analysis. The results showed that surrogate health information seeking has a positive impact on the diet behavior and mental health level of the supported people. However, it has no significant impact on the exercise behavior and physical health level. The results facilitate the further understanding of the role of surrogate health information seeking behavior and provide a reference for government departments and public health institutions to carry out surrogate health information seeking related practical activities.
|
|
Received: 26 July 2021
|
|
|
|
1 Soederberg Miller L M, Bell R A. Online health information seeking: the influence of age, information trustworthiness, and search challenges[J]. Journal of Aging and Health, 2012, 24(3): 525-541.
2 Reifegerste D, Bachl M, Baumann E. Surrogate health information seeking in Europe: influence of source type and social network variables[J]. International Journal of Medical Informatics, 2017, 103: 7-14.
3 宋小康, 赵宇翔, 朱庆华. 互联网环境下国外健康信息替代搜索研究的回顾与展望[J]. 情报理论与实践, 2020, 43(3): 169-176, 168.
4 Prensky M. Digital natives, digital immigrants Part 1[J]. On the Horizon, 2001, 9(5): 1-6.
5 Haluza D, Naszay M, Stockinger A, et al. Digital natives versus digital immigrants: influence of online health information seeking on the doctor-patient relationship[J]. Health Communication, 2017, 32(11): 1342-1349.
6 赵宇翔. 数字悟性: 基于数字原住民和数字移民的概念初探[J]. 中国图书馆学报, 2014, 40(6): 43-54.
7 袁红, 唐娜. 数字移民健康信息搜寻动机及感知障碍研究[J]. 情报资料工作, 2015(2): 67-72.
8 Ramírez A S, Freres D, Martinez L S, et al. Information seeking from media and family/friends increases the likelihood of engaging in healthy lifestyle behaviors[J]. Journal of Health Communication, 2013, 18(5): 527-542.
9 Jiang S H, Street R L. Pathway linking Internet health information seeking to better health: a moderated mediation study[J]. Health Communication, 2017, 32(8): 1024-1031.
10 McKenzie P J. A model of information practices in accounts of everyday-life information seeking[J]. Journal of Documentation, 2003, 59(1): 19-40.
11 Cutrona S L, Mazor K M, Vieux S N, et al. Health information-seeking on behalf of others: characteristics of “surrogate seekers”[J]. Journal of Cancer Education, 2015, 30(1): 12-19.
12 Abrahamson J A, Fisher K E, Turner A G, et al. Lay information mediary behavior uncovered: exploring how nonprofessionals seek health information for themselves and others online[J]. Journal of the Medical Library Association, 2008, 96(4): 310-323.
13 Kubb C, Foran H M. Online health information seeking by parents for their children: systematic review and agenda for further research[J]. Journal of Medical Internet Research, 2020, 22(8): e19985.
14 Oh Y S. Predictors of self and surrogate online health information seeking in family caregivers to cancer survivors[J]. Social Work in Health Care, 2015, 54(10): 939-953.
15 Reifegerste D, Blech S, Dechant P. Understanding information seeking about the health of others: applying the comprehensive model of information seeking to proxy online health information seeking[J]. Journal of Health Communication, 2020, 25(2): 126-135.
16 Waring M E, McManus D D, Amante D J, et al. Online health information seeking by adults hospitalized for acute coronary syndromes: who looks for information, and who discusses it with healthcare providers?[J]. Patient Education and Counseling, 2018, 101(11): 1973-1981.
17 宋小康, 赵宇翔, 宋士杰, 等. 互联网环境下我国健康信息替代搜寻者特征及其行为模式研究[J]. 图书情报工作, 2020, 64(22): 107-117.
18 Song X K, Song S J, Chen S, et al. Factors influencing proxy Internet health information seeking among the elderly in rural China: a grounded theory study[C]// Proceedings of the International Conference on Human-Computer Interaction. Cham: Springer, 2019: 332-343.
19 万文智, 宋小康, 赵宇翔, 等. 在线健康信息替代搜索行为的影响因素探究: 基于扎根理论的实证[J]. 情报资料工作, 2020, 41(6): 88-94.
20 Pluye P, El Sherif R, Granikov V, et al. Health outcomes of online consumer health information: a systematic mixed studies review with framework synthesis[J]. Journal of the Association for Information Science and Technology, 2019, 70(7): 643-659.
21 te Poel F, Baumgartner S E, Hartmann T, et al. The curious case of cyberchondria: a longitudinal study on the reciprocal relationship between health anxiety and online health information seeking[J]. Journal of Anxiety Disorders, 2016, 43: 32-40.
22 Zhang L S, Jung E H, Chen Z. Modeling the pathway linking health information seeking to psychological well-being on WeChat[J]. Health Communication, 2020, 35(9): 1101-1112.
23 Hills O, Shah D. Online health information seeking, medical care beliefs and timeliness of medical check-ups among African Americans[J]. Patient Education and Counseling, 2020, 103(12): 2468-2476.
24 Ahn J A, Chae D. The influences of socio-individual determinants and health information seeking on health-promoting behaviors among migrant women: a cross-sectional study[J]. Japan Journal of Nursing Science, 2019, 16(4): 481-490.
25 Upadhyay S, Lord J, Gakh M. Health-information seeking and intention to quit smoking: do health beliefs have a mediating role?[J]. Tobacco Use Insights, 2019, 12: 1179173X19871310.
26 Dahl A J, Peltier J W, Milne G R. Development of a value co-creation wellness model: the role of physicians and digital information seeking on health behaviors and health outcomes[J]. Journal of Consumer Affairs, 2018, 52(3): 562-594.
27 付少雄, 胡媛. 大学生健康信息行为对实际健康水平的影响研究——基于健康素养与健康信息搜寻视角[J]. 现代情报, 2018, 38(2): 84-90, 105.
28 Wang Y A, Zhang H, Feng T, et al. Does Internet use affect levels of depression among older adults in China? A propensity score matching approach[J]. BMC Public Health, 2019, 19(1): Article No.1474.
29 Rosenbaum P R, Rubin D B. The central role of the propensity score in observational studies for causal effects[J]. Biometrika, 1983, 70(1): 41-55.
30 王筱纶, 赵宇翔, 王曰芬. 倾向得分匹配法: 促进数据科学视角下情报学研究的因果推断[J]. 情报学报, 2020, 39(11): 1191-1203.
31 Rubin D B, Thomas N. Matching using estimated propensity scores: relating theory to practice[J]. Biometrics, 1996, 52(1): 249-264.
32 Brookhart M A, Schneeweiss S, Rothman K J, et al. Variable selection for propensity score models[J]. American Journal of Epidemiology, 2006, 163(12): 1149-1156.
33 Morgan C J. Reducing bias using propensity score matching[J]. Journal of Nuclear Cardiology, 2018, 25(2): 404-406.
34 Caliendo M, Kopeinig S. Some practical guidance for the implementation of propensity score matching[J]. Journal of Economic Surveys, 2008, 22(1): 31-72.
35 Rosenbaum P R, Rubin D B. Constructing a control group using multivariate matched sampling methods that incorporate the propensity score[J]. The American Statistician, 1985, 39(1): 33-38.
36 Ayantunde A A, Welch N T, Parsons S L. A survey of patient satisfaction and use of the Internet for health information[J]. International Journal of Clinical Practice, 2007, 61(3): 458-462.
37 Weaver J B III, Mays D, Weaver S S, et al. Health information-seeking behaviors, health indicators, and health risks[J]. American Journal of Public Health, 2010, 100(8): 1520-1525.
38 Powe B D. Health information seeking among rural African Americans, Caucasians, and Hispanics: it is built, did they come?[J]. Nursing Clinics of North America, 2015, 50(3): 531-543.
39 闫慧, 余章馗, 姜怡婷. 国内外消费者健康信息学研究进展[J]. 图书情报工作, 2017, 61(6): 134-141.
40 Wu D, Li Y Z. Online health information seeking behaviors among Chinese elderly[J]. Library & Information Science Research, 2016, 38(3): 272-279.
41 Lim S H, Kim D. The role of trust in the use of health infomediaries among university students[J]. Informatics for Health and Social Care, 2012, 37(2): 92-105.
42 Sun X Y, Shi Y H, Zeng Q Q, et al. Determinants of health literacy and health behavior regarding infectious respiratory diseases: a pathway model[J]. BMC Public Health, 2013, 13: 261.
43 Weiss B D, Mays M Z, Martz W, et al. Quick assessment of literacy in primary care: the newest vital sign[J]. Annals of Family Medicine, 2005, 3(6): 514-522.
44 宋士杰, 赵宇翔, 宋小康, 等. 互联网环境下失真健康信息可信度判断的影响因素研究[J]. 中国图书馆学报, 2019, 45(4): 72-85.
45 Mou J, Shin D H, Cohen J. Health beliefs and the valence framework in health information seeking behaviors[J]. Information Technology & People, 2016, 29(4): 876-900.
46 Cao W D, Zhang X Y, Xu K B, et al. Modeling online health information-seeking behavior in China: the roles of source characteristics, reward assessment, and Internet self-efficacy[J]. Health Communication, 2016, 31(9): 1105-1114.
47 Xia Y, Wang N, Yu B, et al. Dietary patterns are associated with depressive symptoms among Chinese adults: a case-control study with propensity score matching[J]. European Journal of Nutrition, 2017, 56(8): 2577-2587.
48 Sohn M, Jung M. Effect of viewing smoking scenes in motion pictures on subsequent smoking desire in audiences in South Korea[J]. JMIR Public Health and Surveillance, 2017, 3(3): e46.
49 Parks M J, Kim S. Interpersonal communication in response to an intervention and its impact on smoking cessation within a low-income population[J]. Health Education & Behavior, 2018, 45(4): 550-558.
50 Kawakatsu Y, Sugishita T, Oruenjo K, et al. Effectiveness of and factors related to possession of a mother and child health handbook: an analysis using propensity score matching[J]. Health Education Research, 2015, 30(6): 935-946.
51 Hah H. Health consumers' daily habit of Internet banking use as a proxy for understanding health information sharing behavior: quasi-experimental approach[J]. Journal of Medical Internet Research, 2020, 22(1): e15585.
52 Ramirez A S, Leyva B, Graff K, et al. Seeking information on behalf of others: an analysis of calls to a Spanish-language radio health program[J]. Health Promotion Practice, 2015, 16(4): 501-509.
53 贾俊雪, 宁静. 纵向财政治理结构与地方政府职能优化——基于省直管县财政体制改革的拟自然实验分析[J]. 管理世界, 2015(1): 7-17, 187.
54 Pian W J, Khoo C S, Chi J X. Automatic classification of users’ health information need context: logistic regression analysis of mouse-click and eye-tracker data[J]. Journal of Medical Internet Research, 2017, 19(12): e424.
55 Link E, Reifegerste D, Klimmt C. Family involvement in the context of chronic diseases: the role of social support in treatment decision-making for surgical procedures[J]. Journal of Family Research, 2020, 32(1): 45-71.
56 曾亿武, 郭红东, 金松青. 电子商务有益于农民增收吗? ——来自江苏沭阳的证据[J]. 中国农村经济, 2018(2): 49-64. |
|
|
|
