A study on user willingness to participate in an adverse drug event information sharing system | BMC Public Health
World Health Organization. International drug monitoring: the role of national centres. Report of a WHO meeting. World Health Organ Tech Rep Ser. 1972;498:1–25.
Ernst FR, Grizzle AJ. Drug-related morbidity and mortality: updating the cost-of-illness model. J Am Pharm Assoc (Wash). 2001;41(2):192–9.
Google Scholar
Bennett K, Cahir C, Sorensen J. Costs associated with adverse drug reactions in an older population admitted to hospital: a prospective cohort study. Eur J Clin Pharmacol. 2023;79(10):1417–24.
Google Scholar
Pourpak Z, Fazlollahi MR, Fattahi F. Understanding adverse drug reactions and drug allergies: principles, diagnosis, and treatment aspects. Recent Pat Inflamm Allergy Drug Discov. 2008;2(1):24–46.
Google Scholar
Brockow K, Aberer W, Atanaskovic-Markovic M, Bavbek S, Bircher A, Bilo B, et al. Drug allergy passport and other documentation for patients with drug hypersensitivity – an ENDA/EAACI Drug Allergy Interest Group position paper. Allergy. 2016;71(11):1533–9.
Google Scholar
Nguewo Ngassam RG, Ung L, Ologeanu-Taddei R, Demoly P, Lartigau J, Chiriac AM. Digital Allergy Card: design and users’ perceptions. Stud Health Technol Inf. 2020;275:226–7.
Yeh YT, Hsu MH, Chen CY, Lo YS, Liu CT. Detection of potential drug-drug interactions for outpatients across hospitals. Int J Environ Res Public Health. 2014;11(2):1369–83.
Google Scholar
Doo KE, Seok J, Cho J, Jo YS, Kang YH, Kim RY, et al. A Survey on Hospital systems for adverse drug event (ADE) history information sharing, intervention, and Drug Safety Card Issue. J Kor Soc Health-syst Pharm. 2022;39(3):15.
Lee J, Park YT, Park YR, Lee JH. Review of National-Level Personal Health Records in Advanced Countries. Healthc Inf Res. 2021;27(2):102–9.
Google Scholar
Tang PC, Ash JS, Bates DW, Overhage JM, Sands DZ. Personal health records: definitions, benefits, and strategies for overcoming barriers to adoption. J Am Med Inf Assoc. 2006;13(2):121–6.
Google Scholar
Jung SB, Bae S, Seong D, Oh OH, Kim Y, Yi BK. Shared Interoperable clinical decision Support Service for Drug-Allergy Interaction checks: implementation study. JMIR Med Inf. 2022;10(11).
Choi BK, Park YT, Park HA, Lane C, Jo EC, Kang S. Factors of quality of care and their association with smartphone-based PHR adoption in South Korean hospitals. BMC Med Inf Decis Mak. 2021;21(1):296.
Google Scholar
Heo JH, Suh DC, Kim S, Lee EK. Evaluation of the pilot program on the real-time drug utilization review system in South Korea. Int J Med Inf. 2013;82(10):987–95.
Google Scholar
Lee YH. Promoting the establishment of a patient-centered active management system to prevent adverse drug reactions. Volume 204. Korea Ministry of Food and Drug Safety; 2021.
Cherif E, Bezaz N, Mzoughi M. Do personal health concerns and trust in healthcare providers mitigate privacy concerns? Effects on patients’ intention to share personal health data on electronic health records. Soc Sci Med. 2021;283:114146.
Google Scholar
Parliamentary Office of Science and Technology. POSTnote: Electronic Health Records. 2016. Accessed 25 June 2024.
Ancker JS, Miller MC, Patel V, Kaushal R. Sociotechnical challenges to developing technologies for patient access to health information exchange data. J Am Med Inf Assoc. 2014;21(4):664–70.
Google Scholar
Grande D, Mitra N, Iyengar R, Merchant RM, Asch DA, Sharma M, Cannuscio CC. Consumer willingness to share Personal Digital Information for Health-Related uses. JAMA Netw Open. 2022;5(1).
Choi W, Chang SH, Yang YS, Jung S, Lee SJ, Chun JW, Kim DJ, Lee W, Choi IY. Study of the factors influencing the use of MyData platform based on personal health record data sharing system. BMC Med Inf Decis Mak. 2022;22(1):182.
Google Scholar
Kim S, Yu YM, You M, Jeong KH, Lee E. A cross-sectional survey of knowledge, attitude, and willingness to engage in spontaneous reporting of adverse drug reactions by Korean consumers. BMC Public Health. 2020;20(1):1527.
Google Scholar
Panel Marketing Interactive. Panel Introduction. Accessed 25 June 2024.
Vandenbroucke JP, von Elm E, Altman DG, Gøtzsche PC, Mulrow CD, Pocock SJ, Poole C, Schlesselman JJ, Egger M, for the Strobe Initiative. Strengthening the reporting of Observational studies in Epidemiology (STROBE): explanation and elaboration. PLoS Med. 2007;4(10).
Bansal G, Zahedi FM, Gefen D. The impact of personal dispositions on information sensitivity, privacy concern, and trust in disclosing health information online. Decis Support Syst. 2010;49(2):138–50.
Google Scholar
Zhu P, Shen J, Xu M. Patients’ Willingness to Share Information in Online Patient Communities: Questionnaire Study. J Med Internet Res. 2020;22(4).
Pavlou P, Gefen D, Choudhury V, Liang H, Lopez A, Melville N, Muhanna W, Robinson S. Psychological contract violation in online marketplaces: antecedents, consequences, and moderating role. Inform Syst Res – ISR. 2005;16.
Song J, Zahedi F. Trust in health infomediaries. Decis Support Syst. 2007;43(2):390–407.
Google Scholar
Vaala SE, Lee JM, Hood KK, Mulvaney SA. Sharing and helping: predictors of adolescents’ willingness to share diabetes personal health information with peers. J Am Med Inf Assoc. 2018;25(2):135–41.
Google Scholar
Milne GR. Consumer participation in mailing lists: a field experiment. J Public Policy Mark. 1997;16(2):298–309.
Google Scholar
Guyer AC, Macy E, White AA, Kuruvilla ME, Robison RG, Kumar S, Khan DA, Phillips EJ, Ramsey A, Blumenthal K. Allergy Electronic Health Record Documentation: a 2022 Work Group Report of the AAAAI adverse reactions to drugs, Biologicals, and Latex Committee. J Allergy Clin Immunol Pract. 2022;10(11):2854–67.
Google Scholar
Boparai JK, Singh S, Kathuria P. How to design and validate a questionnaire: a guide. Curr Clin Pharmacol. 2018;13(4):210–5.
Google Scholar
Seltzer E, Goldshear J, Guntuku SC, Grande D, Asch DA, Klinger EV, Merchant RM. Patients’ willingness to share digital health and non-health data for research: a cross-sectional study. BMC Med Inf Decis Mak. 2019;19(1):157.
Google Scholar
Pintrich PR, Smith DA, Garcia T, McKeachie WJ. Reliability and predictive validity of the motivated strategies for learning questionnaire (Mslq). Educ Psychol Meas. 1993;53(3):801–13.
Google Scholar
Han L, Liu Y, Liu X, Xian P. Development and validation of a scale to measure hypertensive Chinese individual’s behavior toward salt reduction consumption. BMC Public Health. 2024;24(1):1459.
Google Scholar
Mourad N, Younes S, Mourad L, Fahs I, Mayta S, Baalbaki R, El Basset W, Dabbous M, El Akel M, Safwan J, Saade F, Rahal M, Sakr F. Comprehension of prescription orders with and without pictograms: tool validation and comparative assessment among a sample of participants from a developing country. BMC Public Health. 2023;23(1):1926.
Google Scholar
Kim JH. Multicollinearity and misleading statistical results. Korean J Anesthesiol. 2019;72(6):558–69.
Google Scholar
Shi J, Yuan R, Yan X, Wang M, Qiu J, Ji X, Yu G. Factors Influencing the Sharing of Personal Health Data Based on the Integrated Theory of Privacy Calculus and theory of Planned behaviors Framework: results of a cross-sectional study of Chinese patients in the Yangtze River Delta. J Med Internet Res. 2023;25.
Widjaja AE, Chen JC, Sukoco BM, Ha QA. Understanding users’ willingness to put their personal information on the personal cloud-based storage applications: an empirical study. Comput Hum Behav. 2019;91:167–85.
Google Scholar
Simon SR, Evans JS, Benjamin A, Delano D, Bates DW. Patients’ attitudes toward electronic health information exchange: qualitative study. J Med Internet Res. 2009;11(3):e30.
Google Scholar
Ghafur S, Van Dael J, Leis M, Darzi A, Sheikh A. Public perceptions on data sharing: key insights from the UK and the USA. Lancet Digit Health. 2020;2(9):e444–6.
Google Scholar
Jung J, Kim H, Lee SH, Park J, Lim S, Yang K. Survey of Public attitudes toward the secondary use of Public Healthcare Data in Korea. Healthc Inf Res. 2023;29(4):377–85.
Google Scholar
Holland SC, Cawthra J, Schloemer T, Schröder-Bäck P. Trust and The Acquisition and Use of Public Health Information. Health Care Anal. 2022;30(1):1–17.
Google Scholar
Lee SG, Kim E. Self-Quarantine System and personal information privacy in South Korea. Yonsei Med J. 2022;63(9):806–16.
Google Scholar
Bart P, Knijnenburg X, Page P, Wisniewski. Heather Richter Lipford, Nicholas Proferes, Jennifer Romano. Modern Socio-Technical perspectives on privacy. Springer Nature; 2020.
Kim Y. Uncertain future of privacy protection under the Korean public health emergency preparedness governance amid the COVID-19 pandemic. Cogent Social Sci. 2022;8(1):2006393.
Park S, Choi GJ. Ko. Information Technology-based tracing strategy in response to COVID-19 in South Korea-privacy controversies. JAMA. 2020;323(21):2129–30.
Google Scholar
Gefen D, Carmel E. Is the World really flat? A look at Offshoring at an Online Programming Marketplace. MIS Q. 2008;32(2):367–84.
Google Scholar
Kokolakis S. Privacy attitudes and privacy behaviour: a review of current research on the privacy paradox phenomenon. Comput Secur. 2017;64:122–34.
Google Scholar
Schroeder T, Haug M, Gewald H. Data privacy concerns using mHealth apps and smart speakers: comparative interview study among mature adults. JMIR Form Res. 2022;6(6).
Wan WH, Antonucci TC. Social Exchange Theory and Aging. In: Pachana NA, editor. Encyclopedia of Geropsychology. Singapore: Springer Singapore; 2017. 2182 – 90.51.
Schulz PJ, Nakamoto K. Health literacy and patient empowerment in health communication: the importance of separating conjoined twins. Patient Educ Couns. 2013;90(1):4–11.
Google Scholar
Hall AK, Bernhardt JM, Dodd V, Vollrath MW. The Digital Health divide: evaluating Online Health Information Access and Use among older adults. Health Educ Behav. 2014;42(2):202–9.
Google Scholar
Statistics Korea. Population Census 2020. Accessed 25 June 2024.
Bethlehem J. Selection Bias in web surveys. Int Stat Rev. 2010;78(2):161–88.
Google Scholar
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