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Factors Affecting the Acceptance of Personal Protection Measures among Patients before Having Covid-19
Fahimeh Hasanzadeh, Ali Aghajanloo, Dr Mohammadreza Dinmohammadi,
Volume 16, Issue 4 (10-2022)
Abstract
Background and Aim: The most recent threat to the global community is the ongoing outbreak of the disease known as Coronavirus Disease 2019 (COVID-19). Taking personal protection measures (PPM) is crucial to prevent the spread of COVID-19. This study aimed to determine the factors affecting the acceptance of PPM among patients before having COVID-19 admitted to hospitals in northwestern of Iran.
Materials and Methods: In this cross-sectional study, 560 eligible patients with a diagnosis of COVID-19 were selected by convenience sampling. Data were collected from January 6 to May 21, 2021, through a researcher-made questionnaire and were analyzed with descriptive statistics (number, percentage, mean, standard deviation), independent t-test, and multiple linear regression by SPSS. A significance level of 5% was selected.
Results: The average age of the participants was 60.1 (16.01) years with an age range of 21 to 95 years. Most of the participants were male (53.9%) and married (91.8%). The mean score of PPM acceptance among patients was 16.55 (2.59) out of 20 points. Multiple linear regression analysis determined employment status (β=0.29, P<0.001), residency (β=-0.19, P<0.001), education level (β=0.11, P=0.048), smoking (β=-0.10, P=0.03) and income level (β=0.13, P=0.01), as predictors of acceptance of PPM. Other personal and occupational variables, including age, gender, marriage, living status, having children, and history of influenza vaccination, were not found to be effective in predicting the acceptance of personal protection measures among participating patients.
Conclusion: The acceptance of personal protection measures among patients was relatively high. Acceptance of the unemployed, rural residents, illiterate, smokers, and those with low-income level was low. This study emphasizes the need to pay attention to the changes in the individual, social and economic characteristics of the community and their effects on preventive health behaviors, especially in vulnerable groups.

Design and Developing of Health Information Behavior Questionnaire
Shahnaz Khademizadeh, Bahram Peymannia, Fatemeh Rafieinasab,
Volume 18, Issue 1 (3-2024)
Abstract
Background and Aim: The term “information behavior,” with an emphasis on health and hygiene, refers to purposeful actions taken to satisfy informational needs related to health. The objective of the current research is to develop and validate a questionnaire on information behavior, with a focus on health and hygiene information.
Materials and Methods: This study was a quantitative research conducted with a tool design approach. Initially, a questionnaire for measuring this behavior was prepared using instrument design methods. The basis for extracting the factors of the present questionnaire has been argumentation and logical repetition. In other words, the researcher, in line with the background of these factors and their repetition in the sources, used them as influential factors in the questionnaire construction. After confirming the content and structural validity, the modified questionnaire was distributed among 238 patients with multiple sclerosis. The sample selection.
was done using the available sampling method. Then, the data were analyzed using exploratory and confirmatory factor analysis. The internal consistency of the data was calculated using Cronbach’s alpha. The collected data were analyzed using descriptive and inferential statistical methods with the help of SPSS and AMOS software.
Results: The content validity of the questionnaire was evaluated with the opinion of 20 experts in information behavior. The reliability of the health information behavior questionnaire was adequate and satisfactory with the overall Cronbach’s alpha coefficient of 0.78 and the Cronbach’s alpha coefficient of the components between 0.71 and 0.94. In order to factor analysis, the sampling adequacy index and the value of Bartlett’s Crowley test were calculated, and all 29 items were statistically significant; which confirms the factorization of the correlation matrix. In the exploratory factor analysis, five factors (avoidance of information), the second factor (need for information), the third factor (exposure to information), the fourth factor (seeking information), and the fifth factor (use of information) were obtained. The indicators of confirmatory factor analysis showed the validity of the proposed structure. The results of the structural equation model test showed that the fit indices were favorable and also indicated the fit of the presented model in the MS patient population.
Conclusion: The obtained results demonstrated that health information behavior in this questionnaire encompasses five factors: information needs, information-seeking behavior, information avoidance, information use, and information confrontation, which were confirmed. The designed scale for assessing health information behavior in the Iranian community has been evaluated and is recommended for use in measuring health information behavior effectively.
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