Self-Care Behaviors in Preventing COVID-۱۹: A Health Belief Model-Based among Families in Yazd City

Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_JHEHP-9-4_002

تاریخ نمایه سازی: 23 بهمن 1402

Abstract:

Background: Identification of self-care behaviors and barriers in the COVID-۱۹ pandemic can help health policymakers design appropriate and practical plans. This study aimed to investigate the efficacy of self-care behaviors in preventing COVID-۱۹ based on the health belief model (HBM) among families in Yazd City. Methods: The present cross-sectional study was conducted using the convenience sampling method in ۲۰۲۰. The research data were collected via a researcher-made questionnaire based on the HBM.  The validity and reliability of the questionnaire were confirmed before its distribution on social networks. A total of ۲۲۶ questionnaires were collected and analyzed using SPSS software version ۲۲. Results: The results showed no significant correlations between the mean scores of HBM constructs and participants’ age, gender, and education level (p > ۰.۰۵). Also, the linear regression test indicated that perceived self-efficacy (B = ۰.۸۸), perceived susceptibility (B = ۰.۶۳), and perceived intensity (B = ۰.۷۴) were the most predictive constructs, demonstrating statistical significance. (P < ۰/۰۵). The HBM constructs could significantly predict preventive behaviors of COVID-۱۹ and accounted for ۲۹.۶ % of their changes (Adjusted R۲ = ۰.۲۹۶, F = ۱۸.۸۵, p ≤ ۰.۰۰۰). Conclusion: Implementing effective interventions based on the health belief model, with a particular focus on improving self-efficacy, perceived susceptibility, and perceived severity can reduce the incidence of COVID-۱۹  and its associated complications.

Authors

Fateme Rahighee

Critical Care Nursing, Shahid Sadoughi University of medical sciences, Yazd, Iran.

Leila Asadi

Department of Midwifery and Reproductive Health, Faculty of Nursing and Midwifery, Tehran University of Medical Sciences, Tehran, Iran.

Fateme Moshirenia

Research Center for Nursing and Midwifery Care, Non-communicable Diseases Institute, Department of Midwifery, School of Nursing and Midwifery, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Seyedeh Mahdieh Namayandeh

Epidemiologist, research center of statistical modeling of health care data, health faculty, Yazd, Iran.

MoradAli Zareipour

Department of Public Health, School of Health, Khoy University of Medical Sciences, Khoy, Iran.

Mahdieh Hardani

Midwifery, Shahid Sadoughi University of medical sciences, Yazd, Iran.

Behjat Khorsandi

Research Center for Nursing and Midwifery Care, Non-communicable Diseases Institute, Department of Midwifery, School of Nursing and Midwifery, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

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