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Objective: This study explored the information women want to know about HPV and cervical cancer, and the enablers or inhibitors that may contribute to, or prevent, seeking online health information. Methods: Two focus groups were conducted with women from the general public, followed by interviews with 12 physicians practicing in Saudi Arabia. The data was analyzed by using a thematic analysis approach. Results: Researchers of this study identified six topics of information that were need-related, ten that were enabling, and six inhibiting subthemes related to online information seeking about HPV and cervical cancer. Discussion and conclusion: In accordance with the identified themes and sub-themes, we offer recommendations to optimize the health information-seeking task related to HPV and cervical cancer through eHealth educational solutions. User- and expert-based feedback can both strengthen and inform the design, development, and implementation of eHealth interventions.

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BACKGROUND: As of 2022, people are getting better at learning how to coexist with the Covid-19 global pandemic. In Saudi Arabia, many attempts have been made to raise public health awareness. However, most health awareness campaigns are generic and might not influence the desired behavior among individuals. OBJECTIVES: This study aims to apply geospatial intelligence and user modeling to profile the districts of the city of Jeddah. This customized map can provide a baseline for a customized health awareness campaign that targets the locals of each district individually based on the virus spread level. METHODOLOGY: It is ongoing research, which has resulted in the creation of a health messages library in the first phase [1]. This paper focuses on a second phase of the research study, which aims to provide a customized baseline for this campaign by applying the geospatial artificial intelligence technique known as space-time cube (STC). STC was applied to create a local map of the Saudi city of Jeddah, representing three different profiles for the city's districts. The model is built using valid COVID-19 clinical data obtained from one of Jeddah's general hospitals. RESULTS AND IMPLICATIONS: When applied, STC displays three profiles for the districts of Jeddah city: high infection, moderate infection, and low infection. To assess the geo-intelligent map, a new instrument was created and validated. The usability and practicality of this map were quantitatively evaluated in a cross-sectional survey using the goal-question-metric measurement framework, and a total of 43 participants filled out the questionnaire. The results indicate that the geo-intelligent map is suitable for everyday use, as evidenced by the participants' responses. We argue that the developed instrument can also be used to assess any geo-intelligence map. This research provides a legitimate approach to customizing health awareness messages during pandemics.

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Despite the availability of online educational resources about human papillomavirus (HPV), many women around the world may be prevented from obtaining the necessary knowledge about HPV. One way to mitigate the lack of HPV knowledge is the use of auto-generated text summarization tools. This study compares the level of HPV knowledge between women who read an auto-generated summary of HPV made using the BERT deep learning model and women who read a long-form text of HPV. We randomly assigned 386 women to two conditions: half read an auto-generated summary text about HPV (n = 193) and half read an original text about HPV (n = 193). We administrated measures of HPV knowledge that consisted of 29 questions. As a result, women who read the original text were more likely to correctly answer two questions on the general HPV knowledge subscale than women who read the summarized text. For the HPV testing knowledge subscale, there was a statistically significant difference in favor of women who read the original text for only one question. The final subscale, HPV vaccination knowledge questions, did not significantly differ across groups. Using BERT for text summarization has shown promising effectiveness in increasing women's knowledge and awareness about HPV while saving their time.

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BACKGROUND: Designing a health promotion campaign is never an easy task, especially during a pandemic of a highly infectious disease such as COVID-19. In Saudi Arabia, many attempts have been made to raise public awareness about COVID-19 infection and precautionary health measures. However, most of the health information delivered through the national dashboard and the COVID-19 awareness campaigns are generic and do not necessarily make the impact needed to be seen on individuals' behavior. Health messages need to be applicable and reverent to the individual in the audience. OBJECTIVE: In light of Fogg-Behavior model, this research aims to build and validate a behavior-change-based messaging campaign to promote precautionary health behavior in individuals during the COVID-19 pandemic. Intervention messages can then be targeted appropriately during the pandemic. METHODS: An initial library of 32 text-based and video-based messages were developed and validated based on Fogg behavior model for behavior change. Based on this model, three groups of messages were created to reflect the model's three theoretical concepts of motivation, ability and triggers. Each group of messages is designed to target different segment of the audience. The content of the messages was developed based on resources from the World Health Organization and the Ministry of Health in Saudi Arabia. The validity of this content was evaluated by domain experts through the content validity index. RESULTS: Fogg-Behavior Model was used to segment the audience into three different groups based on their perceived ability and motivation. The three groups of messages designed for those groups were found relevant to Fogg theoretical concepts. Thirteen professional health care workers (n = 13) evaluated the content of the message libraries in Arabic and English. Thirty-two messages were found to have acceptable content validity (I-CVI = 0.87). CONCLUSIONS: This research introduced Fogg Behavior Model as a behavior change model to develop targeted messages for three groups of the audience based on their motivation and ability level toward maintaining precautionary behavior during the pandemic. This targeted awareness messaging campaign can be utilized by health authorities to raise individuals' awareness about the precautionary measures that should be taken, maintain these measures and hence help in reducing the number of positive cases in the city of Jeddah.

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OBJECTIVE: To summarize the current status of, and the current expert opinions, recommendation and evidence associated with the use and implementation of electronic health (eHealth), telemedicine, and/or telehealth to provide healthcare services for chronic disease patients during the COVID-19 pandemic. MATERIALS AND METHODS: We searched four electronic databases (PubMed, Google Scholar, Science Direct, and Web of Science Core Collection) to identify relevant articles published between 2019 and 2020. Searches were restricted to English language articles only. Two independent reviewers screened the titles, abstracts, and keywords for relevance. The potential eligible articles, papers with no abstract, and those that fall into the uncertain category were read in full text independently. The reviewers met and discussed which articles to include in the final review and reached a consensus. RESULTS: We identified 51 articles of which 25 articles met the inclusion criteria. All included articles indicated the promising potential of eHealth, telehealth, and/or telemedicine solutions in delivering healthcare services to patients living with chronic diseases/conditions during the COVID-19 pandemic. We synthesized the main findings into ten usages and eight recommendations concerning the different activities for delivering healthcare services remotely for those living with chronic diseases/conditions in the era of COVID-19. DISCUSSION AND CONCLUSIONS: There is limited evidence available about the effectiveness of such solutions. Further research is required during this pandemic to improve the credibility of evidence on telemedicine, telehealth, and/or eHealth-related outcomes for those living with chronic diseases.