Adoption of a COVID-19 Contact Tracing App by Czech Youth: Cross-Cultural Replication Study

. 2023 Nov 16 ; 10 () : e45481. [epub] 20231116

Jazyk angličtina Země Kanada Médium electronic

Typ dokumentu časopisecké články, práce podpořená grantem

Perzistentní odkaz   https://www.medvik.cz/link/pmid37971804
Odkazy

PubMed 37971804
PubMed Central PMC10655852
DOI 10.2196/45481
PII: v10i1e45481
Knihovny.cz E-zdroje

BACKGROUND: During the worldwide COVID-19 pandemic crisis, the role of digital contact tracing (DCT) intensified. However, the uptake of this technology expectedly differed among age cohorts and national cultures. Various conceptual tools were introduced to strengthen DCT research from a theoretical perspective. However, little has been done to compare theory-supported findings across different cultural contexts and age cohorts. OBJECTIVE: Building on the original study conducted in Belgium in April 2020 and theoretically underpinned by the Health Belief Model (HBM), this study attempted to confirm the predictors of DCT adoption in a cultural environment different from the original setting, that is, the Czech Republic. In addition, by using brief qualitative evidence, it aimed to shed light on the possible limitations of the HBM in the examined context and to propose certain extensions of the HBM. METHODS: A Czech version of the original instrument was administered to a convenience sample of young (aged 18-29 y) Czech adults in November 2020. After filtering, 519 valid responses were obtained and included in the quantitative data analysis, which used structural equation modeling and followed the proposed structure of the relationships among the HBM constructs. Furthermore, a qualitative thematic analysis of the free-text answers was conducted to provide additional insights about the model's validity in the given context. RESULTS: The proposed measurement model exhibited less optimal fit (root mean square error of approximation=0.065, 90% CI 0.060-0.070) than in the original study (root mean square error of approximation=0.036, 90% CI 0.033-0.039). Nevertheless, perceived benefits and perceived barriers were confirmed as the main, statistically significant predictors of DCT uptake, consistent with the original study (β=.60, P<.001 and β=-.39; P<.001, respectively). Differently from the original study, self-efficacy was not a significant predictor in the strict statistical sense (β=.12; P=.003). In addition, qualitative analysis demonstrated that in the given cohort, perceived barriers was the most frequent theme (166/354, 46.9% of total codes). Under this category, psychological fears and concerns was a subtheme, notably diverging from the original operationalization of the perceived barriers construct. In a similar sense, a role for social influence in DCT uptake processes was suggested by some respondents (12/354, 1.7% of total codes). In summary, the quantitative and qualitative results indicated that the proposed quantitative model seemed to be of limited value in the examined context. CONCLUSIONS: Future studies should focus on reconceptualizing the 2 underperforming constructs (ie, perceived severity and cues to action) by considering the qualitative findings. This study also provided actionable insights for policy makers and app developers to mitigate DCT adoption issues in the event of a future pandemic caused by unknown viral agents.

Zobrazit více v PubMed

Ethical considerations to guide the use of digital proximity tracking technologies for COVID-19 contact tracing. World Health Organization. 2020. May 28, [2021-01-15]. https://www.who.int/publications/i/item/WHO-2019-nCoV-Ethics_Contact_tracing_apps-2020.1 .

Benati I, Coccia M. Effective contact tracing system minimizes COVID-19 related infections and deaths: policy lessons to reduce the impact of future pandemic diseases. J Public Admin Governance. 2022 Aug 24;12(3) doi: 10.5296/jpag.v12i3.19834. DOI

Plümper T, Neumayer E. Lockdown policies and the dynamics of the first wave of the Sars-CoV-2 pandemic in Europe. J Eur Public Policy. 2020 Nov 27;29(3):321–41. doi: 10.1080/13501763.2020.1847170. DOI

Coccia M. Effects of strict containment policies on COVID-19 pandemic crisis: lessons to cope with next pandemic impacts. Environ Sci Pollut Res Int. 2023 Jan 04;30(1):2020–8. doi: 10.1007/s11356-022-22024-w. 10.1007/s11356-022-22024-w PubMed DOI PMC

Osmanlliu E, Rafie E, Bédard S, Paquette J, Gore G, Pomey M-P. Considerations for the design and implementation of COVID-19 contact tracing apps: scoping review. JMIR Mhealth Uhealth. 2021 Jun 09;9(6):e27102. doi: 10.2196/27102. v9i6e27102 PubMed DOI PMC

Martin T, Karopoulos G, Hernández-Ramos JL, Kambourakis G, Nai Fovino I. Demystifying COVID-19 digital contact tracing: a survey on frameworks and mobile apps. Wirel Commun Mob Comput. 2020 Oct 17;2020:1–29. doi: 10.1155/2020/8851429. DOI

LI J, Guo X. Global deployment mappings and challenges of contact-tracing apps for COVID-19. SSRN. doi: 10.2139/ssrn.3609516. Preprint posted online May 26, 2020 . DOI

Kahnbach L, Lehr D, Brandenburger J, Mallwitz T, Jent S, Hannibal S, Funk B, Janneck M. Quality and adoption of COVID-19 tracing apps and recommendations for development: systematic interdisciplinary review of European apps. J Med Internet Res. 2021 Jun 02;23(6):e27989. doi: 10.2196/27989. v23i6e27989 PubMed DOI PMC

Akinbi A, Forshaw M, Blinkhorn V. Contact tracing apps for the COVID-19 pandemic: a systematic literature review of challenges and future directions for neo-liberal societies. Health Inf Sci Syst. 2021 Dec 13;9(1):18. doi: 10.1007/s13755-021-00147-7. 147 PubMed DOI PMC

Alkhatib A. We need to talk about digital contact tracing. Interactions. 2020 Jul 09;27(4):84–9. doi: 10.1145/3404205. DOI

Lucivero F, Marelli L, Hangel N, Zimmermann BM, Prainsack B, Galasso I, Horn R, Kieslich K, Lanzing M, Lievevrouw E, Ongolly F, Samuel G, Sharon T, Siffels L, Stendahl E, Van Hoyweghen I. Normative positions towards COVID-19 contact-tracing apps: findings from a large-scale qualitative study in nine European countries. Crit Public Health. 2022 Jun 02;32(1):5–18. doi: 10.1080/09581596.2021.1925634. 1925634 PubMed DOI PMC

White L, van Basshuysen P. Without a trace: why did corona apps fail? J Med Ethics. 2021 Jan 08;47(12):e83. doi: 10.1136/medethics-2020-107061. medethics-2020-107061 PubMed DOI PMC

Braithwaite I, Callender T, Bullock M, Aldridge RW. Automated and partly automated contact tracing: a systematic review to inform the control of COVID-19. Lancet Digit Health. 2020 Nov;2(11):e607–21. doi: 10.1016/s2589-7500(20)30184-9. PubMed DOI PMC

Sideri K, Prainsack B. COVID-19 contact tracing apps and the governance of collective action: social nudges, deliberation, and solidarity in Europe and beyond. Policy Stud. 2022 Oct 10;44(1):132–53. doi: 10.1080/01442872.2022.2130884. DOI

O'Callaghan ME, Buckley J, Fitzgerald B, Johnson K, Laffey J, McNicholas B, Nuseibeh B, O'Keeffe D, O'Keeffe I, Razzaq A, Rekanar K, Richardson I, Simpkin A, Abedin J, Storni C, Tsvyatkova D, Walsh J, Welsh T, Glynn L. A national survey of attitudes to COVID-19 digital contact tracing in the Republic of Ireland. Ir J Med Sci. 2021 Aug 16;190(3):863–87. doi: 10.1007/s11845-020-02389-y. 10.1007/s11845-020-02389-y PubMed DOI PMC

Alam MZ, Proteek SM, Hoque I. A systematic literature review on mHealth related research during the COVID-19 outbreak. Health Educ. 2023 Feb 27;123(1):19–40. doi: 10.1108/he-08-2022-0067. DOI

Megnin-Viggars O, Carter P, Melendez-Torres GJ, Weston D, Rubin GJ. Facilitators and barriers to engagement with contact tracing during infectious disease outbreaks: a rapid review of the evidence. PLoS One. 2020 Oct 29;15(10):e0241473. doi: 10.1371/journal.pone.0241473. PONE-D-20-28526 PubMed DOI PMC

Altmann S, Milsom L, Zillessen H, Blasone R, Gerdon F, Bach R, Kreuter F, Nosenzo D, Toussaert S, Abeler J. Acceptability of app-based contact tracing for COVID-19: cross-country survey study. JMIR Mhealth Uhealth. 2020 Aug 28;8(8):e19857. doi: 10.2196/19857. v8i8e19857 PubMed DOI PMC

Dowthwaite L, Fischer J, Perez Vallejos E, Portillo V, Nichele E, Goulden M, McAuley D. Public adoption of and trust in the NHS COVID-19 contact tracing app in the United Kingdom: quantitative online survey study. J Med Internet Res. 2021 Sep 17;23(9):e29085. doi: 10.2196/29085. v23i9e29085 PubMed DOI PMC

Walrave M, Waeterloos C, Ponnet K. Adoption of a contact tracing app for containing COVID-19: a health belief model approach. JMIR Public Health Surveill. 2020 Sep 01;6(3):e20572. doi: 10.2196/20572. v6i3e20572 PubMed DOI PMC

Abramova O, Wagner A, Olt CM, Buxmann P. One for all, all for one: social considerations in user acceptance of contact tracing apps using longitudinal evidence from Germany and Switzerland. Int J Inform Manag. 2022 Jun;64:102473. doi: 10.1016/j.ijinfomgt.2022.102473. DOI

Kostka G, Habich-Sobiegalla S. In times of crisis: public perceptions toward COVID-19 contact tracing apps in China, Germany, and the United States. New Media Soc. 2022 Apr 03; doi: 10.1177/14614448221083285. DOI

Rahimi R, Khoundabi B, Fathian A. Investigating the effective factors of using mHealth apps for monitoring COVID-19 symptoms and contact tracing: a survey among Iranian citizens. Int J Med Inform. 2021 Nov;155:104571. doi: 10.1016/j.ijmedinf.2021.104571. S1386-5056(21)00197-0 PubMed DOI PMC

Jörling M, Eitze S, Schmid P, Betsch C, Allen J, Böhm R. To disclose or not to disclose? Factors related to the willingness to disclose information to a COVID-19 tracing app. Inform Commun Soc. 2022 Mar 28;26(10):1954–78. doi: 10.1080/1369118x.2022.2050418. DOI

Trang S, Trenz M, Weiger WH, Tarafdar M, Cheung CM. One app to trace them all? Examining app specifications for mass acceptance of contact-tracing apps. Eur J Inform Syst. 2020 Jul 27;29(4):415–28. doi: 10.1080/0960085x.2020.1784046. DOI

Lyu Y, Carroll JM. Cultural influences on Chinese citizens’ adoption of digital contact tracing: a human infrastructure perspective. Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems; CHI '22; April 29-May 5, 2022; New Orleans, LA. 2022. DOI

Luria G, Cnaan RA, Boehm A. National culture and prosocial behaviors: results from 66 countries. Nonprofit Volunt Sect Q. 2014 Oct 28;44(5):1041–65. doi: 10.1177/0899764014554456. DOI

Zabel S, Schlaile MP, Otto S. Breaking the chain with individual gain? Investigating the moral intensity of COVID-19 digital contact tracing. Comput Human Behav. 2023 Jun;143:107699. doi: 10.1016/j.chb.2023.107699. S0747-5632(23)00050-X PubMed DOI PMC

Baxter-King R, Brown JR, Enos RD, Naeim A, Vavreck L. How local partisan context conditions prosocial behaviors: mask wearing during COVID-19. Proc Natl Acad Sci U S A. 2022 May 24;119(21):e2116311119. doi: 10.1073/pnas.2116311119. PubMed DOI PMC

Rosman T, Adler K, Barbian L, Blume V, Burczeck B, Cordes V, Derman D, Dertli S, Glas H, Heinen V, Kenst S, Khosroschahli M, Kittel L, Kraus C, Linden A, Mironova A, Olinger L, Rastelica F, Sauter T, Schnurr V, Schwab E, Vieyra Y, Zidak A, Zidarova I. Protect ya grandma! The effects of students' epistemic beliefs and prosocial values on COVID-19 vaccination intentions. Front Psychol. 2021 Jun 24;12:683987. doi: 10.3389/fpsyg.2021.683987. PubMed DOI PMC

Prakash AV, Das S. Explaining citizens' resistance to use digital contact tracing apps: a mixed-methods study. Int J Inf Manage. 2022 Apr;63:102468. doi: 10.1016/j.ijinfomgt.2021.102468. S0268-4012(21)00161-4 PubMed DOI PMC

Pervin L. The cross-cultural challenge to personality. In: Lee YT, McCauley CR, Draguns JG, editors. Personality and Person Perception Across Cultures. Mahwah, NJ: Lawrence Erlbaum Associates Publishers; 1999. pp. 23–41.

Moray N. Culture, politics and ergonomics. Ergonomics. 2000 Jul 10;43(7):858–68. doi: 10.1080/001401300409062. PubMed DOI

Jannati N. COVID-19 and contact tracing apps: the importance of theory and conceptual models. Int J Med Inform. 2023 Feb;170:104957. doi: 10.1016/j.ijmedinf.2022.104957. S1386-5056(22)00271-4 PubMed DOI PMC

Vachon B, Curran JA, Karunananthan S, Brehaut J, Graham ID, Moher D, Sales AE, Straus SE, Fiander M, Paprica PA, Grimshaw JM. Changing research culture toward more use of replication research: a narrative review of barriers and strategies. J Clin Epidemiol. 2021 Jan;129:21–30. doi: 10.1016/j.jclinepi.2020.09.027.S0895-4356(20)31113-6 PubMed DOI

Coiera E, Ammenwerth E, Georgiou A, Magrabi F. Does health informatics have a replication crisis? J Am Med Inform Assoc. 2018 Aug 01;25(8):963–8. doi: 10.1093/jamia/ocy028. 4970161 PubMed DOI PMC

Bates DW, Wright A. Evaluating eHealth: undertaking robust international cross-cultural eHealth research. PLoS Med. 2009 Sep 15;6(9):e1000105. doi: 10.1371/journal.pmed.1000105. PubMed DOI PMC

Abraham C, Scheeran P. The health belief model. In: Conner M, Norman P, editors. Predicting Health Behaviour Research and Practice with Social Cognition Models. Maidenhead, UK: Open University Press; 1996.

Rosenstock IM. Historical origins of the health belief model. Health Educ Monogr. 1974 Dec 01;2(4):328–35. doi: 10.1177/109019817400200403. PubMed DOI

Kolman L, Noorderhaven NG, Hofstede G, Dienes E. Cross‐cultural differences in Central Europe. J Manag Psychol. 2003 Feb;18(1):76–88. doi: 10.1108/02683940310459600. DOI

Lazanyi K. Generation Z and Y – are they different, when it comes to trust in robots?. Proceedings of the IEEE 23rd International Conference on Intelligent Engineering Systems (INES); IEEE 23rd International Conference on Intelligent Engineering Systems (INES); April 25-27, 2019; Gödöllő, Hungary. 2019. DOI

Haggenmüller Sarah, Krieghoff-Henning E, Jutzi T, Trapp N, Kiehl L, Utikal JS, Fabian S, Brinker TJ. Digital natives' preferences on mobile artificial intelligence apps for skin cancer diagnostics: survey study. JMIR Mhealth Uhealth. 2021 Aug 27;9(8):e22909. doi: 10.2196/22909. v9i8e22909 PubMed DOI PMC

Hofstede G, Hofstede GJ, Minkov M. Cultures and Organizations: Software of the Mind, Third Edition. New York City, NY: McGraw-Hill Education; 2010. Jul 16,

Holy L. The Little Czech and the Great Czech Nation: National Identity and the Post-Communist Social Transformation. Cambridge, UK: Cambridge University Press; 1996.

Krueger R. Czech, German, and Noble: Status and National Identity in Habsburg Bohemia. New York City, NY: Oxford University Press; 2009.

Simunek M, Smutny Z, Dolezel M. The impact of the COVID-19 movement restrictions on the road traffic in the Czech republic during the state of emergency. J Adv Transp. 2021 Apr 20;2021:1–20. doi: 10.1155/2021/6622028. DOI

Buštíková L, Baboš P. Best in Covid: populists in the time of pandemic. Politics Gov. 2020 Dec 17;8(4):496–508. doi: 10.17645/pag.v8i4.3424. DOI

McLean S, Etzler T, Kottasová I. Masks made Czech Republic the envy of Europe. Now they’ve blown it. Cable News Network. 2020. Oct 19, [2022-10-10]. https://edition.cnn.com/2020/10/19/europe/czech-republic-coronavirus-intl/index.html .

Eibl O, Gregor M. Political Communication and COVID-19. Milton Park, UK: Routledge; 2021. The Czech Republic: self-proclaimed role models.

Home page. COVID19CZ. [2023-10-05]. https://www.covid19cz.cz/

Flanagan ST, Ballard DH. 3D printed face shields: a community response to the COVID-19 global pandemic. Acad Radiol. 2020 Jun;27(6):905–6. doi: 10.1016/j.acra.2020.04.020. S1076-6332(20)30213-0 PubMed DOI PMC

Home page. QuestionPro Survey Software. [2023-10-10]. https://www.questionpro.com/

Wagner RM. Ethical review of research involving human subjects: when and why is IRB review necessary? Muscle Nerve. 2003 Jul 11;28(1):27–39. doi: 10.1002/mus.10398. PubMed DOI

Code of ethics. Prague University of Economics and Business. [2023-10-10]. https://www.vse.cz/english/about-vse/information-and-regulations/code-of-ethics/

Douglas SP, Craig CS. Collaborative and iterative translation: an alternative approach to back translation. J Int Market. 2018 Oct 02;15(1):30–43. doi: 10.1509/jimk.15.1.030. DOI

Wang W-L, Lee H-L, Fetzer SJ. Challenges and strategies of instrument translation. West J Nurs Res. 2006 Apr 01;28(3):310–21. doi: 10.1177/0193945905284712.28/3/310 PubMed DOI

Hofstede G. Dimensionalizing cultures: the Hofstede Model in context. Online Reading Psychol Cult. 2011 Dec 01;2(1) doi: 10.9707/2307-0919.1014. DOI

Irwin K. Altruism and Prosocial Behavior in Groups (Advances in Group Processes, Vol. 26) Bingley, UK: Emerald Group Publishing Limited; 2009. Prosocial behavior across cultures: the effects of institutional versus generalized trust; pp. 165–98.

Home page. Jamovi. [2023-10-10]. https://www.jamovi.org/

About lavaan. lavaan. [2023-10-10]. https://lavaan.ugent.be/

Ee C, MacMillan F, Boyages J, McBride K. Barriers and enablers of weight management after breast cancer: a thematic analysis of free text survey responses using the COM-B model. BMC Public Health. 2022 Aug 20;22(1):1587. doi: 10.1186/s12889-022-13980-6. 10.1186/s12889-022-13980-6 PubMed DOI PMC

Tretiakov A, Hunter I. User experiences of the NZ COVID tracer app in New Zealand: thematic analysis of interviews. JMIR Mhealth Uhealth. 2021 Sep 08;9(9):e26318. doi: 10.2196/26318. v9i9e26318 PubMed DOI PMC

Home page. MAXQDA. [2023-10-05]. https://www.maxqda.com/

Hair JF. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Thousand Oaks, CA: SAGE Publications; 2013.

Hinkin TR. A brief tutorial on the development of measures for use in survey questionnaires. Org Res Method. 2016 Jun 29;1(1):104–21. doi: 10.1177/109442819800100106. DOI

Roden J. Revisiting the Health Belief Model: nurses applying it to young families and their health promotion needs. Nurs Health Sci. 2004 Mar;6(1):1–10. doi: 10.1111/j.1442-2018.2003.00167.x.167 PubMed DOI

Walker R. Models in health psychology: an introduction. J Diabetes Nurs. 1999;3(6):188–91.

Kelle U. "Emergence" vs. "forcing" of empirical data? A crucial problem of "grounded theory" reconsidered. Forum Qual Sozialforsch. 2005;6(2) doi: 10.17169/fqs-6.2.467. DOI

Morse JM. Qualitative verification: building evidence by extending basic findings. In: Kuzel AJ, Morse JM, Swanson J, editors. The Nature of Qualitative Evidence. Thousand Oaks, CA: SAGE Publications; 2001.

Milne S, Sheeran P, Orbell S. Prediction and intervention in health-related behavior: a meta-analytic review of protection motivation theory. J Appl Social Pyschol. 2000 Jan;30(1):106–43. doi: 10.1111/j.1559-1816.2000.tb02308.x. DOI

Jones CJ, Smith H, Llewellyn C. Evaluating the effectiveness of health belief model interventions in improving adherence: a systematic review. Health Psychol Rev. 2014 Jun 12;8(3):253–69. doi: 10.1080/17437199.2013.802623. PubMed DOI

Autry AJ, Berge Z. Digital natives and digital immigrants: getting to know each other. Ind Commer Train. 2011;43(7):460–6. doi: 10.1108/00197851111171890. DOI

Soroya SH, Farooq A, Mahmood K, Isoaho J, Zara S-E. From information seeking to information avoidance: understanding the health information behavior during a global health crisis. Inf Process Manag. 2021 Mar;58(2):102440. doi: 10.1016/j.ipm.2020.102440. S0306-4573(20)30933-X PubMed DOI PMC

Link E. Information avoidance during health crises: predictors of avoiding information about the COVID-19 pandemic among german news consumers. Inf Process Manag. 2021 Nov;58(6):102714. doi: 10.1016/j.ipm.2021.102714. S0306-4573(21)00198-9 PubMed DOI PMC

Chen X, Li M, Kreps GL. Double burden of COVID-19 knowledge deficit: low health literacy and high information avoidance. BMC Res Notes. 2022 Feb 05;15(1):27. doi: 10.1186/s13104-022-05913-8. 10.1186/s13104-022-05913-8 PubMed DOI PMC

Rasa T, Laherto A. Young people’s technological images of the future: implications for science and technology education. Eur J Futures Res. 2022 Apr 03;10:4. doi: 10.1186/s40309-022-00190-x. DOI

Smutny Z, Janoscik V, Cermak R. Analyzing the Strategic Role of Social Networking in Firm Growth and Productivity. Hershey, PA: IGI Global; 2017. Generation Y and Internet privacy: implication for commercialization of social networking services.

Wen H, Zhao Q, Lin Z, Xuan D, Shroff N. A study of the privacy of COVID-19 contact tracing apps. Proceedings of the 16th EAI International Conference, SecureComm 2020; 16th EAI International Conference, SecureComm 2020; October 21-23, 2020; Washington, DC. 2020. DOI

El-Sherif DM, Abouzid M. Analysis of mHealth research: mapping the relationship between mobile apps technology and healthcare during COVID-19 outbreak. Global Health. 2022 Jun 28;18(1):67. doi: 10.1186/s12992-022-00856-y. 10.1186/s12992-022-00856-y PubMed DOI PMC

Oyibo K, Sahu KS, Oetomo A, Morita PP. Factors influencing the adoption of contact tracing applications: systematic review and recommendations. Front Digit Health. 2022 May 3;4:862466. doi: 10.3389/fdgth.2022.862466. PubMed DOI PMC

Maccari L. On the performance and effectiveness of digital contact tracing in the second wave of COVID-19 in Italy. IEEE Trans Comput Soc Syst. 2023 Feb;10(1):108–19. doi: 10.1109/TCSS.2022.3143369. DOI

Horvath L, Banducci S, James O. Citizens’ attitudes to contact tracing apps. J Exp Polit Sci. 2020 Sep 02;9(1):118–30. doi: 10.1017/XPS.2020.30. DOI

Pfattheicher S, Nielsen YA, Thielmann I. Prosocial behavior and altruism: a review of concepts and definitions. Curr Opin Psychol. 2022 Apr;44:124–9. doi: 10.1016/j.copsyc.2021.08.021. S2352-250X(21)00154-8 PubMed DOI

Lang J, Erickson WW, Jing-Schmidt Z. #MaskOn! #MaskOff! Digital polarization of mask-wearing in the United States during COVID-19. PLoS One. 2021 Apr 28;16(4):e0250817. doi: 10.1371/journal.pone.0250817. PONE-D-21-03538 PubMed DOI PMC

Less hope and happiness in the world 2021. Gallup International Association. 2021. Dec 28, [2023-02-05]. https://www.gallup-international.com/survey-results-and-news/survey-result/less-hope-and-happiness-in-the-world-2021 .

Manchin A. Worldwide, Greeks most pessimistic about their lives. Gallup. 2012. Jul 25, [2023-02-05]. https://news.gallup.com/poll/156137/worldwide-greeks-pessimistic-lives.aspx .

Schimmenti A, Billieux J, Starcevic V. The four horsemen of fear: an integrated model of understanding fear experiences during the Covid-19 pandemic. Clin Neuropsychiatry. 2020 Apr;17(2):41–5. doi: 10.36131/CN20200202. PubMed DOI PMC

Afifi WA, Weiner JL. Seeking information about sexual health: applying the theory of motivated information management. Hum Commun Res. 2006 Jan;32(1):35–57. doi: 10.1111/j.1468-2958.2006.00002.x. DOI

Jung M, Ramanadhan S, Viswanath K. Effect of information seeking and avoidance behavior on self-rated health status among cancer survivors. Patient Educ Couns. 2013 Jul;92(1):100–6. doi: 10.1016/j.pec.2013.02.008.S0738-3991(13)00079-7 PubMed DOI

Hopwood P. Psychological issues in cancer genetics: current research and future priorities. Patient Educ Couns. 1997 Sep;32(1-2):19–31. doi: 10.1016/s0738-3991(97)00060-8.S0738-3991(97)00060-8 PubMed DOI

Kokkoris MD, Kamleitner B. Would you sacrifice your privacy to protect public health? Prosocial responsibility in a pandemic paves the way for digital surveillance. Front Psychol. 2020 Sep 18;11:578618. doi: 10.3389/fpsyg.2020.578618. PubMed DOI PMC

Favero N, Pedersen MJ. How to encourage “togetherness by keeping apart” amid COVID-19? The ineffectiveness of prosocial and empathy appeals. J Behav Public Adm. 2020 May 24;3(2) doi: 10.30636/jbpa.32.167. DOI

Habashi MM, Graziano WG, Hoover AE. Searching for the prosocial personality: a big five approach to linking personality and prosocial behavior. Pers Soc Psychol Bull. 2016 Sep 11;42(9):1177–92. doi: 10.1177/0146167216652859.0146167216652859 PubMed DOI

O’Dwyer MC, Dune T, Bidewell J, Liamputtong P. Critiquing the health belief model and sexual risk behaviours among adolescents: a narrative review of familial and peer influence. Int J Soc Sci Stud. 2019 Oct 17;7(6):62. doi: 10.11114/ijsss.v7i6.4518. DOI

Parry ME, Kawakami T, Kishiya K. The effect of personal and virtual word-of-mouth on technology acceptance. J Prod Innov Manag. 2012 Jun 28;29(6):952–66. doi: 10.1111/j.1540-5885.2012.00972.x. DOI

Nguyen TT, Tran Hoang MT, Phung MT. “To our health!” perceived benefits offset privacy concerns in using national contact-tracing apps". Libr Hi Tech. 2022 May 13;41(1):174–91. doi: 10.1108/lht-12-2021-0461. DOI

Harborth D, Pape S, McKenzie LT. Why individuals do (not) use contact tracing apps: a health belief model perspective on the German Corona-warn-app. Healthcare (Basel) 2023 Feb 15;11(4):583. doi: 10.3390/healthcare11040583. healthcare11040583 PubMed DOI PMC

Zhang Z, Vaghefi I. Continued use of contact-tracing apps in the united states and the United Kingdom: insights from a comparative study through the lens of the health belief model. JMIR Form Res. 2022 Dec 08;6(12):e40302. doi: 10.2196/40302. v6i12e40302 PubMed DOI PMC

van der Waal NE, de Wit J, Bol N, Ebbers W, Hooft L, Metting E, van der Laan LN. Predictors of contact tracing app adoption: integrating the UTAUT, HBM and contextual factors. Technol Soc. 2022 Nov;71:102101. doi: 10.1016/j.techsoc.2022.102101. DOI

Xie G, Lohar P, Florea C, Bendechache M, Trestian R, Brennan R, Connolly R, Tal I. Privacy in times of COVID-19: a pilot study in the republic of Ireland. Proceedings of the 16th International Conference on Availability, Reliability and Security; ARES 2021: The 16th International Conference on Availability, Reliability and Security; August 17-20, 2021; Vienna, Austria. 2021. Aug, DOI

Doležel M. ‘We must ignore ePrescription’: an empirical analysis of Czech physicians’ attitudes against eHealth. Proceedings of the IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom); IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom); September 17-20, 2018; Ostrava, Czech Republic. 2018. DOI

Davison RM, Martinsons MG. Context is king! Considering particularism in research design and reporting. J Inf Technol. 2016 Sep 01;31(3):241–9. doi: 10.1057/jit.2015.19. DOI

Najít záznam

Citační ukazatele

Nahrávání dat ...

Možnosti archivace

Nahrávání dat ...