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Exploring the Social Media on the Communication Professionals in Public Health. Spanish Official Medical Colleges Case Study.

ABSTRACT: The purpose of the study is to analyze the role that social media have on the practice of health professionals working in information and communication department of Spanish official medical college. Social media in health fields have experienced growing participation of users and are increasingly considered a credible form of communication. This paper examines the use of social media as communication tool by the Official Medical Colleges (OMC) of Spain. According to the National Institute of Statistics, in 2019 there were 267,995 registered medical professionals in the 52 OMC in Spain. This research is based on a qualitative methodological technique through semi-structured interviews, with the aim of identifying the profiles of the people who lead the information in the professional organizations of the OMC. Of the colleges, 73.07% participated. The findings show that information is essential for the OMC and most of them have at least one experienced communication professional. Social media are essential tool in their work and Twitter (87.5%) and Facebook (81.3%) are considered the most relevant social media according to their interests. These tools are believed to be very useful for informing, establishing relationships and listening to users.

SUBMITTER: de Las Heras-Pedrosa C

PROVIDER: S-EPMC7369915 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Exploring the Social Media on the Communication Professionals in Public Health. Spanish Official Medical Colleges Case Study.

de Las Heras-Pedrosa Carlos C Rando-Cueto Dolores D Jambrino-Maldonado Carmen C Paniagua-Rojano Francisco J FJ

International journal of environmental research and public health 20200706 13

The purpose of the study is to analyze the role that social media have on the practice of health professionals working in information and communication department of Spanish official medical college. Social media in health fields have experienced growing participation of users and are increasingly considered a credible form of communication. This paper examines the use of social media as communication tool by the Official Medical Colleges (OMC) of Spain. According to the National Institute of St ...[more]

PMID: 32640598

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Project description:BACKGROUND:High-quality medical resources are in high demand worldwide, and the application of artificial intelligence (AI) in medical care may help alleviate the crisis related to this shortage. The development of the medical AI industry depends to a certain extent on whether industry experts have a comprehensive understanding of the public's views on medical AI. Currently, the opinions of the general public on this matter remain unclear. OBJECTIVE:The purpose of this study is to explore the public perception of AI in medical care through a content analysis of social media data, including specific topics that the public is concerned about; public attitudes toward AI in medical care and the reasons for them; and public opinion on whether AI can replace human doctors. METHODS:Through an application programming interface, we collected a data set from the Sina Weibo platform comprising more than 16 million users throughout China by crawling all public posts from January to December 2017. Based on this data set, we identified 2315 posts related to AI in medical care and classified them through content analysis. RESULTS:Among the 2315 identified posts, we found three types of AI topics discussed on the platform: (1) technology and application (n=987, 42.63%), (2) industry development (n=706, 30.50%), and (3) impact on society (n=622, 26.87%). Out of 956 posts where public attitudes were expressed, 59.4% (n=568), 34.4% (n=329), and 6.2% (n=59) of the posts expressed positive, neutral, and negative attitudes, respectively. The immaturity of AI technology (27/59, 46%) and a distrust of related companies (n=15, 25%) were the two main reasons for the negative attitudes. Across 200 posts that mentioned public attitudes toward replacing human doctors with AI, 47.5% (n=95) and 32.5% (n=65) of the posts expressed that AI would completely or partially replace human doctors, respectively. In comparison, 20.0% (n=40) of the posts expressed that AI would not replace human doctors. CONCLUSIONS:Our findings indicate that people are most concerned about AI technology and applications. Generally, the majority of people held positive attitudes and believed that AI doctors would completely or partially replace human ones. Compared with previous studies on medical doctors, the general public has a more positive attitude toward medical AI. Lack of trust in AI and the absence of the humanistic care factor are essential reasons why some people still have a negative attitude toward medical AI. We suggest that practitioners may need to pay more attention to promoting the credibility of technology companies and meeting patients' emotional needs instead of focusing merely on technical issues.

Project description:BACKGROUND:Respecting patient privacy and confidentiality is critical for doctor-patient relationships and public trust in medical professionals. The frequency of potentially identifiable disclosures online during periods of active engagement is unknown. OBJECTIVE:The objective of this study was to quantify potentially identifiable content shared on social media by physicians and other health care providers using the hashtag #ShareAStoryInOneTweet. METHODS:We accessed and searched Twitter's API using Symplur software for tweets that included the hashtag #ShareAStoryInOneTweet. We identified 1206 tweets by doctors, nurses, and other health professionals out of 43,374 tweets shared in May 2018. Tweet content was evaluated in January 2019 to determine the incidence of instances where names or potentially identifiable information about patients were shared; content analysis of tweets in which information about others had been disclosed was performed. The study also evaluated whether participants raised concerns about privacy breaches and estimated the frequency of deleted tweets. The study used dual, blinded coding for a 10% sample to estimate intercoder reliability using Cohen ? statistic for identifying the potential identifiability of tweet content. RESULTS:Health care professionals (n=656) disclosing information about others included 486 doctors (74.1%) and 98 nurses (14.9%). Health care professionals sharing stories about patient care disclosed the time frame in 95 tweets (95/754, 12.6%) and included patient names in 15 tweets (15/754, 2.0%). It is estimated that friends or families could likely identify the clinical scenario described in 242 of the 754 tweets (32.1%). Among 348 tweets about potentially living patients, it was estimated that 162 (46.6%) were likely identifiable by patients. Intercoder reliability in rating the potential identifiability demonstrated 86.8% agreement, with a Cohen ? of 0.8 suggesting substantial agreement. We also identified 78 out of 754 tweets (6.5%) that had been deleted on the website but were still viewable in the analytics software data set. CONCLUSIONS:During periods of active sharing online, nurses, physicians, and other health professionals may sometimes share more information than patients or families might expect. More study is needed to determine whether similar events arise frequently and to understand how to best ensure that patients' rights are adequately respected.

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Exploring the Social Media on the Communication Professionals in Public Health. Spanish Official Medical Colleges Case Study.

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Exploring the Social Media on the Communication Professionals in Public Health. Spanish Official Medical Colleges Case Study.

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