How cyberchondria and decision self-efficacy shapes the acceptability of COVID-19 vaccine: A gender-based comparison

Author:

Shahani Riffat1,Asmi Fahad1ORCID,Ma Jin2,Zawar Asma1,Rufai Olayemi Hafeez1,Muhideen Sayibu1ORCID,Amosun Tunde Simeon1,Jianxun Chu1

Affiliation:

1. University of Science and Technology of China, Hefei, Anhui, China

2. Hefei First People's Hospital, the Third Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China

Abstract

Objective Alarmingly, the individuals’ reach and coverage to get vaccinated in developing regions during the pandemic is a massive challenge for concerned authorities. This study aimed to demonstrate how cyberchondria play a significant role in a classical health belief model. Cyberchondria may influence cognitive factors (e.g. self-efficacy), which may contribute to an increase in attitude–behavior gap. Especially in the context of a health-centric scenario, it may discourage individuals to take protective measures. Method By using the cross-sectional research design, the authors conducted a quantitative survey in Pakistan and collected 563 responses from 303 male respondents (rural = 91; urban = 212) with (Urban M:35.5, standard deviation (SD):13.4) and rural M:37.5, SD:8.4). Result The findings indicate that decision self-efficacy among males is stronger than that in females. It dominates other determinants, which can dampen the individuals’ intentions to get vaccinated. For instance, the effect of conspiracies and perceived seriousness was noted nonsignificant and weak. In females, perceived seriousness was stronger determinant than in males. In addition, the negative effect of decision self-efficacy was noted in the case of females, and conspiracy and cyberchondria had a negative role. Conclusion This study highlights valuable implications for future research in infodemic, health communication and health literacy, and practical implications for regulatory bodies and public administration.

Publisher

SAGE Publications

Subject

Health Information Management,Computer Science Applications,Health Informatics,Health Policy

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