Antiretroviral therapy (ART) is one of the complexities of treatment and care for people living with HIV (PLHIV). It is essential to understand the challenges of admitting ART in PLHIV based on the Information Motivation Behavioral skills (IMB) model. This study was conducted using qualitative and directed content analysis on 15 participants. The participants included 10 patients and five health-care providers selected from the behavioral diseases counseling center affiliated with a medical university in southeast of Iran using purposive sampling method. Data were collected through semistructured interviews. Data analysis has led to three main categories—information, motivation, and behavioral skills—and eight subcategories. ART adherence in an Iranian context is like an iceberg that the IMB model can deeply identify underwater and unanticipated motivations and factors that lead to nonadherence. Therefore, it can be useful in designing and developing context-based nonadherence to ART interventions.
BACKGROUND: COVID-19 disease effects on all age group and sex, especially the elderly, due to the high mortality rate, it is very impressive and the protective measures can reduce mortality in the elderly.
AIM: The present study was conducted to find the determinants of COVID-19 prevention behavior in the elderly in Urmia by emphasizing on the health belief model.
METHODS: The present study was a cross-sectional study on 1400 elderly people in Urmia, Iran in 2020 and the sample selection was by simple random sampling by simple random sampling. The data collection tool was a researcher-made questionnaire in this study that included demographic characteristics, health belief model questionnaire, and COVID-19 prevention behaviors. Data were analyzed using ANOVA and linear regression tests using SPSS 23 software.
RESULTS: The results showed that the COVID-19 prevention behavior score has been increased by increasing age rate and this behavior was higher in older women than men (p = 0.02). Furthermore, linear regression test showed the most predictive constructs as knowledge (B = 0.38), perceived susceptibility (B = 0.29), perceived intensity (B = 0.25), and perceived self-efficacy (B = 0.21, respectively) and these structures were statistically significant (p < 0/05).
CONCLUSION: Effective interventions based on the health belief model and emphasizing on promoting knowledge, perceived susceptibility, severity, and perceived self-efficacy can prevent the elderly from developing this disease and its complications.
ObjectivesThis descriptive-correlational study was conducted on 122 Iranian people living with HIV (PWHIV), who referred to a behavioral diseases counseling center in 2018. The AIDS Clinical Trial Group (ACTG) questionnaire was used to collect the required data. The study aimed to determine the level of medication adherence and its determinants in PWHIV.ResultsAbout 75.4% (confidence interval 67.2%–82.8%) of the samples had a good combined antiretroviral therapy (cART) adherence and 74.6% (n = 91) of them were sure about the positive effects of medications on their health. Patients reported that most important reasons for medication non-adherence included forgetfulness, high drug dosage, lack of knowledge about ART value, and transportation problems.
Background & Aims: Health promoting behaviors are one of the main criteria for determining health. Nowadays, it is believed that for being successful in behavior change and health promotion, people should have sufficient self-efficacy. This study aimed to determine health promoting behaviors and its relationship with selfefficacy health workers in Urmia. Materials & Methods: This descriptive-analytical study was conducted on 301 health house workers in rural health centers of Urmia in 2015. Data were collected using the questionnaire consisted of demographic characteristics, health promoting behaviors (Healthy Lifestyle Questionnaire) and Sherer et.al. General Selfefficacy Scale. Reliability and validity of the questionnaire were confirmed in previous studies. Data were analyzed by chi-square test and ANOVA. Results: The mean score of health promoting behaviors of health workers was 136.4 (24.4). The highest score was in the health responsibility dimension 35.37 (7.37) and the lowest score was in physical activity dimension 13.25 (5.26). The result showed that self-efficacy had a positive significant correlation with health promoting lifestyle and all of its sub-domains (P < 0001). There was also a significant relationship between health promoting lifestyle and economic level, education, and gender (P < 0.05). Conclusion: Given the importance of health promoting behaviors of health workers and the effects of selfefficacy on these behaviors, it seems that training programs can be effective in promoting health behaviors of health workers in order to increase self-efficacy.
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