GCU HLT-362V-RS2-Article Analysis Solved
Article Analysis 1
| Article Citation and Permalink (APA format) | Article 1
Burke-Garcia, A., Kreps, G. L., & Wright, K. B. (2018). Perceptions about disseminating health information among Mommy Bloggers: quantitative study. JMIR research protocols, 7(4), e116. Retrieved from https://www.researchprotocols.org/2018/4/e116/?utm_source=TrendMD&utm_medium=cpc&utm_campaign=JMIR_TrendMD_0 |
Article 2
Hazzam, J., & Lahrech, A. (2018). Health care professionals’ social media behavior and the underlying factors of social media adoption and use: Quantitative study. Journal of medical Internet research, 20(11), e12035. Retrieved from https://www.jmir.org/2018/11/e12035/ |
Article 3
Chen, X., Liu, Z., Wei, L., Yan, J., Hao, T., & Ding, R. (2018). A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008–2017. BMC medical informatics and decision making, 18(5), 117. Retrieved from https://link.springer.com/article/10.1186/s12911-018-0692-9 |
| Point | Description | Description | Description |
| Broad Topic Area/Title | Perceptions About Disseminating Health Information Among Mommy Bloggers: Quantitative Study | Health Care Professionals’ Social Media Behavior and the Underlying Factors of Social Media Adoption and Use: Quantitative Study | A comparative quantitative study of utilizing artificial intelligence on electronic health records in the USA and China during 2008–2017 |
| Identify Independent and Dependent Variables and Type of Data for the Variables | Likelihood to share information; Topics of Conversations; and Motivations for sharing. | Exchange of medical information with peers, interpersonal communication, and productivity enhancement | Artificial intelligence
Electronic health records Authorship pattern and collaboration Geographical distribution of publications Prolific authors and affiliations Prolific publication sources Growth of publications |
| Population of Interest for the Study | Members of the online mommy blogger network, The Motherhood | Physicians, pharmacists, and allied HCPs working in the United Arab Emirates | The USA and China |
| Sample | Mommy bloggers | Physicians, pharmacists, and allied employees | US and Chinese research publications |
| Sampling Method | Purposive sampling | Randomized purposive sampling | Gibbs sampling |
| Descriptive Statistics (Mean, Median, Mode; Standard Deviation)
Identify examples of descriptive statistics in the article. |
Average age: 38 years
Gender: females = 99%, males = 1%
|
Modal age bracket: 25 to 45 years (71.4%)
Modal social media platform: whatsapp (65.5%) 71 of 203 respondents (34.9%) used these platforms to improve their overall productivity Variance in the frequency of use: 45% Variance in the social media intention of use: 17% |
The average publications during the study period are 103.1 and 17.3 articles per year.
The highest productivity is observed in 2017 with a total of 205 (19.88%) articles for the USA and 44 (25.43%) articles for China On average, 5.83 authors, 2.63 affiliations and 1.18 countries participate in each publication from the USA In China, on average each publication has 5.79 authors, 2.84 affiliations and 1.39 countries |
| Inferential Statistics
Identify examples of inferential statistics in the article. |
A significant interaction was found between having a history of health issues and likeliness to write about health issues (P<.001)
Having a family history of health issues was found to be positively associated with likeliness to write about health issues on a blog (P<.001) |
The structural model equation showed that behavioral intention (beta=.47; P<.001), habit (beta=.26; P=.001), attitude (beta=.20; P=.002), and perceived usefulness (beta=.12; P=.09) were positively and significantly related to frequency of use | The average degrees of affiliation and country for China’s publications are higher than that for the USA’s publications, while the average degrees of author is on the contrary |
