Effect of social media interventions on the education and communication among patients with cancer: a systematic review protocol

Yazdipour, Alireza Banaye; Kalhori, Sharareh R. Niakan; Bostan, Hassan; Masoorian, Hoorie; Ataee, Elham; Sajjadi, H.

doi:10.1136/bmjopen-2022-066550

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…These findings demonstrate that social media educational campaigns can be an effective tool for increasing parental knowledge, attitude and practice of car seat use worldwide. Additionally, it can be effective in increasing awareness and knowledge about health-related topics [ 38 , 39 ]. Furthermore, the high satisfaction rate reported by participants in this study (92.4%) indicates that such campaigns may be well received by parents in the Arabian Gulf region.…”

Section: Discussionmentioning

confidence: 99%

The effect of social media campaign on parental knowledge, attitudes and practices regarding the use of children car seats in the Gulf region

Bakhurji,

M. Alqahtani,

M. Alwashmi

et al. 2023

BMC Public Health

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Background Motor vehicle crashes (MVCs) are the leading cause of child deaths in the Gulf Cooperation Council. This study aimed to investigate the effect of a social media educational campaign on parents' knowledge of child safety seats. Methods We conducted a pre-post interventional study as an online educational module in Arabic and English. The module link was shared on social media and was accompanied by a pre-post survey that included questions about demographics, knowledge, and practices of car seat use. Results A total of 303 participants completed the campaign, with 23.8% fathers and 76.2% mothers answered the survey. The majority of participants were from Saudi Arabia (95.7%), while 4.3% were from other Gulf Cooperation Council (GCC) countries. Most parents agreed on the importance of organizing awareness campaigns and having a law to enforce the use of car seats. The pre-survey mean knowledge score was 11.64, which significantly increased to 13.1 in the post-survey (p < 0.001). Conclusions The intervention of the educational campaign through social media resulted in a significant increase in parents' knowledge and awareness of the importance of using car seats correctly. This study highlights the potential effectiveness of social media campaigns in improving parents' knowledge and awareness of child safety seats.

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Section: Discussionmentioning

confidence: 99%

The effect of social media campaign on parental knowledge, attitudes and practices regarding the use of children car seats in the Gulf region

Bakhurji,

M. Alqahtani,

M. Alwashmi

et al. 2023

BMC Public Health

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“…Nowadays, social media has played an essential role in disseminating health information, coordinating resources, and promoting health campaigns aimed at educating individuals about preventative measures [8]. Additionally, it influenced patients' decision-making processes regarding treatment [9].…”

Section: Introductionmentioning

confidence: 99%

Cancer Prevention and Treatment on Chinese Social Media: Machine Learning–Based Content Analysis Study

Zhao,

Li,

2024

J Med Internet Res

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Background: Nowadays, new media has played an important role in providing information about cancer prevention and treatment. A growing body of work has been devoted to examining the access and communication effects of cancer information on social media. However, there has been limited understanding of the overall presentation of cancer prevention and treatment on social media. Further, research on comparing the differences between medical social media and common social media remained limited.Objective: Based on big data analytics, this study aimed to comprehensively map the characteristics of cancer treatment and prevention information on medical social media and common social media, which was promisingly helpful in cancer coverage and patients' treatment decision. Methods:We collected all posts (N=60,843) from 4 medical WeChat official accounts (classified as medical social media in this paper), and 5 health and lifestyle WeChat official accounts (classified as common social media in this paper). By applying latent Dirichlet allocation topic model, we extracted cancer-related posts (N=8,427) and obtained 6 cancer themes in common social media and medical social media separately. After manually labeling posts according to our codebook, we adopted a neural-based method to label different articles automatically. To be more specific, we defined our task as a multi-label task and chose different pre-trained models, say, Bert and Glove, to learn document level semantic representations for labelling. Results:Themes in common social media were more related to lifestyle, while medical social media were more related to medical attributions. Early screening and testing, healthy diet, and physical exercise were the most frequently mentioned preventive measures. Compared with common social media, medical social media mentioned vaccinations to prevent cancer more frequently. Both types of media provided limited coverage of radiation prevention (including sun protection) and breastfeeding. Surgery, chemotherapy, and radiotherapy were the most mentioned treatment measures. Medical social media discussed treatment information more than common social media. Conclusions:Cancer prevention and treatment information on social media revealed a lack of balance. The focus on cancer prevention and treatment information was mainly limited to a few aspects. The cancer coverage on preventive measures and treatments in social media required further improvement. Additionally, the study's findings underscored the potential of applying machine learning to content analysis as a promising research paradigm for mapping the key dimensions of cancer information on social media. The findings provided methodological and practical significance in future study and health promotion.

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Cancer Prevention and Treatment on Chinese Social Media: Machine Learning–Based Content Analysis Study (Preprint)

Zhao,

Li,

2024

Preprint

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BACKGROUND Nowadays, social media plays a crucial role in disseminating information about cancer prevention and treatment. A growing body of research has focused on assessing access and communication effects of cancer information on social media. However, there remains a limited understanding of the comprehensive presentation of cancer prevention and treatment methods across social media platforms. Furthermore, research comparing the differences between medical social media (MSM) and common social media (CSM) is also lacking. OBJECTIVE Using big data analytics, this study aims to comprehensively map the characteristics of cancer treatment and prevention information on MSM and CSM. This approach promises to enhance cancer coverage and assist patients in making informed treatment decisions. METHODS We collected all posts (N=60,843) from 4 medical WeChat official accounts (accounts with professional medical backgrounds, classified as MSM in this paper) and 5 health and lifestyle WeChat official accounts (accounts with nonprofessional medical backgrounds, classified as CSM in this paper). We applied latent Dirichlet allocation topic modeling to extract cancer-related posts (N=8427) and identified 6 cancer themes separately in CSM and MSM. After manually labeling posts according to our codebook, we used a neural-based method for automated labeling. Specifically, we framed our task as a multilabel task and utilized different pretrained models, such as Bidirectional Encoder Representations from Transformers (BERT) and Global Vectors for Word Representation (GloVe), to learn document-level semantic representations for labeling. RESULTS We analyzed a total of 4479 articles from MSM and 3948 articles from CSM related to cancer. Among these, 35.52% (2993/8427) contained prevention information and 44.43% (3744/8427) contained treatment information. Themes in CSM were predominantly related to lifestyle, whereas MSM focused more on medical aspects. The most frequently mentioned prevention measures were early screening and testing, healthy diet, and physical exercise. MSM mentioned vaccinations for cancer prevention more frequently compared with CSM. Both types of media provided limited coverage of radiation prevention (including sun protection) and breastfeeding. The most mentioned treatment measures were surgery, chemotherapy, and radiotherapy. Compared with MSM (1137/8427, 13.49%), CSM (2993/8427, 35.52%) focused more on prevention. CONCLUSIONS The information about cancer prevention and treatment on social media revealed a lack of balance. The focus was primarily limited to a few aspects, indicating a need for broader coverage of prevention measures and treatments in social media. Additionally, the study’s findings underscored the potential of applying machine learning to content analysis as a promising research approach for mapping key dimensions of cancer information on social media. These findings hold methodological and practical significance for future studies and health promotion.

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Effect of social media interventions on the education and communication among patients with cancer: a systematic review protocol

Cited by 3 publications

References 27 publications

The effect of social media campaign on parental knowledge, attitudes and practices regarding the use of children car seats in the Gulf region

The effect of social media campaign on parental knowledge, attitudes and practices regarding the use of children car seats in the Gulf region

Cancer Prevention and Treatment on Chinese Social Media: Machine Learning–Based Content Analysis Study

Cancer Prevention and Treatment on Chinese Social Media: Machine Learning–Based Content Analysis Study (Preprint)

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