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Showing 3 results for Online Health Information
Zahed Bigdeli, Zouhayr Hayati, Gholam-Reza Heidari, Tahere Jowkar,
Volume 3, Issue 1 (6-2016)
Volume 3, Issue 1 (6-2016)
Abstract
Background and Aim: Nowadays, Internet is known as an attractive source of health information to manage individual's health. Given the importance of it, this study examined the role of Internet in health information seeking behavior among young people in Shiraz.
Method: This research was a survey which target population were youth Internet users in the city of Shiraz. A sample of 400 were randomly selected using, multi-stage cluster sampling. Data were collected by a questionnaire.
Results: Most of respondents used the Internet to search health information. Young women were more likely to seek online health information than young men. As well as level of education, the experience and self-efficacy to search the Internet, showed a significant correlation with searching OHI, too. The main goal of respondents to search OHI was to understand their health condition or disease, better understanding of health information provided by physicians and self-medication. The results also showed that respondents have positive attitude towards health information retrieved via the Internet.
Conclusion: There is a high demand of OHI among young people to manage personal health. Undoubtedly, foresight and planning to improve the quality of OHI, efforts to create a reliable health information database and public education to care about assessing the quality of OHI can herald the development of individual health and consequently the health of our community.
Dr Zivar Sabaghinejad, Mr Reza Poorsavari, Dr Amin Koraei,
Volume 9, Issue 4 (1-2023)
Volume 9, Issue 4 (1-2023)
Abstract
Introduction: The present study was conducted by explaining the internal norm of Davis's technology acceptance model in online health information search among Iranian students to provide a local model.
Methods: The current research is descriptive and was carried out using a survey method. The research community is the students of Ahvaz Jundishapur University of Medical Sciences at all levels of study. A sample of 358 people voluntarily participated in the research by stratified random sampling. The research tool was a researcher-made questionnaire with 20 questions, which after validation, Cronbach's alpha was 0/933 Obtained. The findings were analyzed with SPSS and AMOS software and using descriptive statistical tests, exploratory factor analysis, and other related tests.
Results: The findings of the exploratory factor analysis led to a four-factor model regarding students' online search for health information. The first factor: is the user's intention to search for health information online, the second factor: is the usefulness of using the Internet to receive health information, the third factor: is the ease of using the Internet to receive health information, and the fourth factor is the user's attitude towards the online search for health information. These four factors explain 66.983% of the changes related to the online search of health information among students.
Conclusion: The findings of the research indicate the approval of the Davis technology acceptance model for use in research in the field of health information among Iranian students. Therefore, it can be used in other research in this field among students with the assurance of confirming the internal norm.
Methods: The current research is descriptive and was carried out using a survey method. The research community is the students of Ahvaz Jundishapur University of Medical Sciences at all levels of study. A sample of 358 people voluntarily participated in the research by stratified random sampling. The research tool was a researcher-made questionnaire with 20 questions, which after validation, Cronbach's alpha was 0/933 Obtained. The findings were analyzed with SPSS and AMOS software and using descriptive statistical tests, exploratory factor analysis, and other related tests.
Results: The findings of the exploratory factor analysis led to a four-factor model regarding students' online search for health information. The first factor: is the user's intention to search for health information online, the second factor: is the usefulness of using the Internet to receive health information, the third factor: is the ease of using the Internet to receive health information, and the fourth factor is the user's attitude towards the online search for health information. These four factors explain 66.983% of the changes related to the online search of health information among students.
Conclusion: The findings of the research indicate the approval of the Davis technology acceptance model for use in research in the field of health information among Iranian students. Therefore, it can be used in other research in this field among students with the assurance of confirming the internal norm.
ِdr Shahnaz Khademizadeh, Mrs Fatemeh Rafieinasab, Dr Natarajan Radhakrishnan,
Volume 11, Issue 1 (6-2024)
Volume 11, Issue 1 (6-2024)
Abstract
Introduction
With the emergence of the Internet and the expansion of information technologies in the current era, along with the increase in awareness and literacy levels in human societies, there has been a growing interest in accessing information in various fields. One type of information that has always captivated the general public is health-related information, as it directly impacts their quality of life. Health information encompasses a wide range of data that can influence decisions related to individual and social well-being. Electronic health resources play a crucial role in helping individuals manage important health issues, make informed decisions about their health, and communicate with healthcare providers. Studies have shown that internet users not only exhibit better adherence to treatment, reduced anxiety, and a greater sense of security, but also demonstrate improved self-care behaviors compared to those who do not utilize online resources (Riahi, 2017). By seeking health information online, individuals can gain a better understanding of their health status, which in turn can lead to the formation of informed opinions, beliefs, and attitudes towards healthy behaviors, ultimately aiding in making informed decisions regarding healthcare (Ahedzadeh and Sharif, 2017; Brown, Skelly, Chew-Graham, 2020). Therefore, the objective of this study is to explore the health information-seeking behavior of clients within health and treatment networks in Ahvaz city.
Methods and Materoal
The current research is an experimental study conducted using the pre-test and post-test intervention method. The research population consisted of 40 clients from Ahvaz Medical Center, whose average score of health information-seeking behavior was one point below the average. Of these, 20 individuals were randomly assigned to the control group. Additionally, two groups of 20 people each were formed using block randomization: one as the control group and the other as the test group for the intervention. The educational intervention took the form of a 4-hour online training workshop. To assess changes in online health information search behaviors, uncertainty, and cyberchondria in the study group, the Generalized Estimating Equations (GEE) method was utilized. The protocol used for online education on social networks was the SDI protocol (Bhushan 2006, Juyani et al. 2022). A questionnaire served as the data collection tool, completed by the test groups within one month and returned to the researchers. Data collection occurred at baseline (pre-intervention) and at one, two, and three months post-intervention. Baseline scores were used as covariates in the model to adjust for differences between the control and intervention groups. The results of the GEE model reflected changes in the desired factors at the three measurement points post-intervention. Furthermore, Bonferroni's post hoc test was employed to compare the distribution of online health information search scores, uncertainty, and cyberchondria between the two groups at each time point. All analyses were conducted using SPSS software version 26.
Resultss and Discussion
Findings: There was no significant difference in the effect of the educational intervention on changes in the online health information search score (P>0.05). For the control group, the average uncertainty score increased over time. However, there was a significant difference in the effect of the educational intervention on changes in the uncertainty score (P<0.001). Results of the external post-hoc test comparing changes in the uncertainty score between the two intervention groups and the control group showed a significant difference in the distribution of uncertainty scores before the intervention (P>0.046), as well as two and three months after the intervention (P>0.001). Additionally, there was a significant difference in the cyberchondria score before the intervention (P>0.076) and three months after the intervention (P>0.025) in each case.
Conclusion
Health information behavior training is a positive step towards increasing the decision-making self-efficacy of community members and patients. When combined with other efforts to promote health and care, it can lead to improved health outcomes. The effectiveness of educational interventions in different groups depends on the methods, materials, and content used. This study found that a patient educational intervention aimed at teaching information-seeking behavior skills to health center visitors had a positive impact on reducing cyberchondria and increasing certainty. The availability of information search platforms, the type of sources used, and the ability to utilize them based on age requirements are important factors in information seeking (Bahadir and Dundar, 2022). Uncertainty and doubt can drive individuals to seek health information online (Khademizadeh, Rafieinasab and Radhakrishnan, 2024), making educational interventions focused on empowerment dimensions beneficial in improving clinical and psychological outcomes. These interventions can enhance quality of life for both society and patients, taking into account factors such as age, education, occupation, and income status. This research presents a new approach to educational interventions that are cost-effective, accessible, and complication-free for health management and promotion in society.
With the emergence of the Internet and the expansion of information technologies in the current era, along with the increase in awareness and literacy levels in human societies, there has been a growing interest in accessing information in various fields. One type of information that has always captivated the general public is health-related information, as it directly impacts their quality of life. Health information encompasses a wide range of data that can influence decisions related to individual and social well-being. Electronic health resources play a crucial role in helping individuals manage important health issues, make informed decisions about their health, and communicate with healthcare providers. Studies have shown that internet users not only exhibit better adherence to treatment, reduced anxiety, and a greater sense of security, but also demonstrate improved self-care behaviors compared to those who do not utilize online resources (Riahi, 2017). By seeking health information online, individuals can gain a better understanding of their health status, which in turn can lead to the formation of informed opinions, beliefs, and attitudes towards healthy behaviors, ultimately aiding in making informed decisions regarding healthcare (Ahedzadeh and Sharif, 2017; Brown, Skelly, Chew-Graham, 2020). Therefore, the objective of this study is to explore the health information-seeking behavior of clients within health and treatment networks in Ahvaz city.
Methods and Materoal
The current research is an experimental study conducted using the pre-test and post-test intervention method. The research population consisted of 40 clients from Ahvaz Medical Center, whose average score of health information-seeking behavior was one point below the average. Of these, 20 individuals were randomly assigned to the control group. Additionally, two groups of 20 people each were formed using block randomization: one as the control group and the other as the test group for the intervention. The educational intervention took the form of a 4-hour online training workshop. To assess changes in online health information search behaviors, uncertainty, and cyberchondria in the study group, the Generalized Estimating Equations (GEE) method was utilized. The protocol used for online education on social networks was the SDI protocol (Bhushan 2006, Juyani et al. 2022). A questionnaire served as the data collection tool, completed by the test groups within one month and returned to the researchers. Data collection occurred at baseline (pre-intervention) and at one, two, and three months post-intervention. Baseline scores were used as covariates in the model to adjust for differences between the control and intervention groups. The results of the GEE model reflected changes in the desired factors at the three measurement points post-intervention. Furthermore, Bonferroni's post hoc test was employed to compare the distribution of online health information search scores, uncertainty, and cyberchondria between the two groups at each time point. All analyses were conducted using SPSS software version 26.
Resultss and Discussion
Findings: There was no significant difference in the effect of the educational intervention on changes in the online health information search score (P>0.05). For the control group, the average uncertainty score increased over time. However, there was a significant difference in the effect of the educational intervention on changes in the uncertainty score (P<0.001). Results of the external post-hoc test comparing changes in the uncertainty score between the two intervention groups and the control group showed a significant difference in the distribution of uncertainty scores before the intervention (P>0.046), as well as two and three months after the intervention (P>0.001). Additionally, there was a significant difference in the cyberchondria score before the intervention (P>0.076) and three months after the intervention (P>0.025) in each case.
Conclusion
Health information behavior training is a positive step towards increasing the decision-making self-efficacy of community members and patients. When combined with other efforts to promote health and care, it can lead to improved health outcomes. The effectiveness of educational interventions in different groups depends on the methods, materials, and content used. This study found that a patient educational intervention aimed at teaching information-seeking behavior skills to health center visitors had a positive impact on reducing cyberchondria and increasing certainty. The availability of information search platforms, the type of sources used, and the ability to utilize them based on age requirements are important factors in information seeking (Bahadir and Dundar, 2022). Uncertainty and doubt can drive individuals to seek health information online (Khademizadeh, Rafieinasab and Radhakrishnan, 2024), making educational interventions focused on empowerment dimensions beneficial in improving clinical and psychological outcomes. These interventions can enhance quality of life for both society and patients, taking into account factors such as age, education, occupation, and income status. This research presents a new approach to educational interventions that are cost-effective, accessible, and complication-free for health management and promotion in society.
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