Health Information Tools Research Articles

Risk factors of foodborne parasitic diseases still remain in China: a WeChat-based knowledge, attitudes, and practices study

ObjectiveWith the progress of economic globalization and food diversification, foodborne parasitic diseases pose a significant public health challenge in China. This study aimed to explore the knowledge, attitudes, and practices regarding foodborne parasitic diseases among the Chinese population via WeChat, which is a promising tool for disease surveillance and health education.MethodsUsing a questionnaire, this cross-sectional study was conducted on September 25, 2023. Participants completed a structured questionnaire by scanning a QR code provided in a tweet from the WeChat official account of the Jiangsu Institute of Parasite Disease. Multivariable logistic regression analysis was employed to explore potential independent determinants of adequate knowledge of foodborne parasitic diseases, and the positive attitude and good practice rates of the participants were calculated.ResultsIn total, 5,675 valid questionnaires were collected via the WeChat official account. Most participants (79.91%) fell within the age range of 20–40 years, with a higher representation of males (53.18%), and 89.80% were of Han Chinese ethnicity. It was found that 76.65% of the participants had adequate level of knowledge. Multivariable logistic regression analysis revealed that individuals of Hui nationality (OR = 0.57, 95% CI: 0.40–0.81, p = 0.002), clinicians (OR = 0.13, 95% CI: 0.09–0.19, p < 0.001), teachers (OR = 0.48, 95% CI: 0.34–0.69, p < 0.001), and government staff (OR = 0.40, 95% CI: 0.30–0.53, p < 0.001) had significantly higher levels of knowledge. Among the participants, 33.9% reported consuming raw fish or drunken shrimp, 10.6% would still try to consume raw fish despite the risk of parasitic infection, and 84.1% did not use separate cutting boards for raw and cooked foods in their kitchens.ConclusionsAlthough majority of the Chinese public (76.65%) demonstrates adequate level of knowledge on foodborne parasitic diseases, there is a need to enhance personal hygiene practices and dietary habits, particularly the utilization of distinct cutting boards and the consumption of raw fish. A WeChat official account is an accessible tool for spreading foodborne parasitic diseases related health information to the public. WeChat-based health education should be implemented to enhance public awareness regarding the prevention and control of foodborne parasitic diseases.

Lessons Learned from the Zika Virus Epidemics: A Mounting Demand for Adopting Public Health Informatics Tools and Technologies for Epidemiological Surveillance and Outbreak Containment

Lessons Learned from the Zika Virus Epidemics: A Mounting Demand for Adopting Public Health Informatics Tools and Technologies for Epidemiological Surveillance and Outbreak Containment

Health care prioritization process for the elderly in rural Tanzania under decentralized system: Prospects and challenges.

Beginning the early 1990s, many countries globally adopted the third-generation health sector reforms with a focus of strengthening the primary health care system through community participation. On the contrary, three decades later, primary health care systems in many Low- and Middle-Income countries (LMICs) including Tanzania have remained weak. Specifically, priority setting for the vulnerable groups including the elderly have been weak. We aimed to analyse the prospects and challenges of the priority setting process for the elderly health care services following the 1990s health sector reforms in Tanzania. We conducted an exploratory case study on priority setting process for the elderly healthcare services in Igunga and Nzega Tanzania. We carried out 24 Key Informant Interviews (KIIs) with the positions of District medical officers, social welfare, Medical Officers in-charge (MOI), planning officers and health system information focal person. Additionally, we carried out two focus group discussions (FGDs), one from each district with six participants from each group. Participants for the FGDs were MOI, health secretary, representative members of Health Facility Governing Committee (HFGC) and Council Health Management Team (CHMT). Data were analyzed using the qualitative content analysis. Two categories emerged from the analysis of the transcripts. These were the prospects and challenges in priority setting for the elderly population under the decentralized health sector in rural Tanzania. The prospects included; the capacity of the LGAs on priority setting; existence of strategies used by LGAs; availability of teamwork spirit and the existence of guidelines for priority setting at LGAs. The challenges included difficulties of elderly identification, insufficient resources to implement the planned activities at the LGAs, unintegrated digitalized government health information tools or programs at the LGAs, interference of LGAs by the Central Government and low interest of stakeholders on elderly health care. This study highlights the prospects and challenges facing priority setting for elderly care at the centralized health system in rural Tanzania. From the results the process is well organized but faces some challenges which if not addressed jeopardized and has potential to continue affecting the priority setting. Addressing the challenges highlighted requires joint efforts from both the elderly population in the community, healthcare providers and decision makers across all levels of the health system. This study serves as an eye-opener and calls for a bigger study to get a comprehensive picture of priority setting of the elderly health care in Tanzania.

The Effect of Health Promotion Through Video Media on The Utilization Of Family Medical Plans (Toga) In Heart Disease

Heart disease is recognized globally as a leading cause of death, demanding innovative prevention strategies to reduce the risk of heart disease. One promising approach is the use of Family Medicinal Plants (TOGA), which offers an alternative treatment to combat this disease. In the context of health promotion, media, particularly video, has emerged as an effective tool for raising awareness and encouraging the adoption of better health practices. This study was conducted at one of the hospitals in Lubuk Pakam, Deli Serdang Regency focused on the influence of health promotion via video on the use of TOGA by heart disease patients. Using a Pre-Experimental One Group Pre-test and Post-test design, this study involved 38 heart disease patients selected through purposive sampling. Data analysis was carried out using a paired sample t-test, showing a significant increase in the use of TOGA after health promotion through video media, with the average score increasing from 13.97 to 17.42. The research findings show a p value = 0.000 which confirms that health promotion through video media has a positive impact on the use of TOGA among heart disease patients. This suggests that video, as a health information tool, has great potential to increase acceptance and implementation of TOGA not only among heart disease patients but also in the wider community, offering an effective and accessible strategy to support heart health.

A Comparative Analysis of Healthcare Facilities: With and Without 24/7 Interventions.

Background: Maternal and neonatal mortality remains disproportionately high in low and middle-income countries, particularly in remote areas with limited healthcare accessibility. The Tharparkar district of Sindh, Pakistan, exemplifies such challenges, with basic utilities and healthcare services notably lacking. Objective: This study aimed to assess the impact of 24/7 availability of Maternal, Newborn, and Child Health (MNCH) services on healthcare delivery and patient outcomes in government healthcare facilities in the Tharparkar district. Methods: This action research followed a cross-sectional study design. Data collection commenced after receiving ethical approval and written consent from the Government District Health Officer of Tharparkar. Longitudinal data were collected using District Health Information tools from six healthcare facilities, three of which operated 24/7 and the remaining three for six hours daily. Data included indicators such as general outpatient department (OPD) visits, non-vaginal deliveries (NVD), antenatal, postnatal care, family planning, immunization, neonatal deaths, stillbirths, and live births. Statistical analysis was conducted using SPSS version 25, and results were visualized using Tableau 2024. Results: Facilities operating 24/7 reported a significant increase in healthcare utilization: general OPD attendance increased by 118.5% at THQ Kheeme Jo Par, 168.2% at GD Jese Jo Par, and 150.5% at GD Mehrna Vero. There were also notable improvements in NVD, antenatal, postnatal care, and family planning services. Immunization rates improved, stillbirths decreased, and there were zero neonatal deaths reported in these facilities following the intervention. Conclusion: The implementation of 24/7 MNCH services in Tharparkar significantly enhanced healthcare service delivery and improved maternal and child health outcomes. Continuous healthcare availability is crucial for improving health indicators and achieving global health targets in underserved populations.

A Multidisciplinary Assessment of ChatGPT's Knowledge of Amyloidosis: Observational Study.

Amyloidosis, a rare multisystem condition, often requires complex, multidisciplinary care. Its low prevalence underscores the importance of efforts to ensure the availability of high-quality patient education materials for better outcomes. ChatGPT (OpenAI) is a large language model powered by artificial intelligence that offers a potential avenue for disseminating accurate, reliable, and accessible educational resources for both patients and providers. Its user-friendly interface, engaging conversational responses, and the capability for users to ask follow-up questions make it a promising future tool in delivering accurate and tailored information to patients. We performed a multidisciplinary assessment of the accuracy, reproducibility, and readability of ChatGPT in answering questions related to amyloidosis. In total, 98 amyloidosis questions related to cardiology, gastroenterology, and neurology were curated from medical societies, institutions, and amyloidosis Facebook support groups and inputted into ChatGPT-3.5 and ChatGPT-4. Cardiology- and gastroenterology-related responses were independently graded by a board-certified cardiologist and gastroenterologist, respectively, who specialize in amyloidosis. These 2 reviewers (RG and DCK) also graded general questions for which disagreements were resolved with discussion. Neurology-related responses were graded by a board-certified neurologist (AAH) who specializes in amyloidosis. Reviewers used the following grading scale: (1) comprehensive, (2) correct but inadequate, (3) some correct and some incorrect, and (4) completely incorrect. Questions were stratified by categories for further analysis. Reproducibility was assessed by inputting each question twice into each model. The readability of ChatGPT-4 responses was also evaluated using the Textstat library in Python (Python Software Foundation) and the Textstat readability package in R software (R Foundation for Statistical Computing). ChatGPT-4 (n=98) provided 93 (95%) responses with accurate information, and 82 (84%) were comprehensive. ChatGPT-3.5 (n=83) provided 74 (89%) responses with accurate information, and 66 (79%) were comprehensive. When examined by question category, ChatGTP-4 and ChatGPT-3.5 provided 53 (95%) and 48 (86%) comprehensive responses, respectively, to "general questions" (n=56). When examined by subject, ChatGPT-4 and ChatGPT-3.5 performed best in response to cardiology questions (n=12) with both models producing 10 (83%) comprehensive responses. For gastroenterology (n=15), ChatGPT-4 received comprehensive grades for 9 (60%) responses, and ChatGPT-3.5 provided 8 (53%) responses. Overall, 96 of 98 (98%) responses for ChatGPT-4 and 73 of 83 (88%) for ChatGPT-3.5 were reproducible. The readability of ChatGPT-4's responses ranged from 10th to beyond graduate US grade levels with an average of 15.5 (SD 1.9). Large language models are a promising tool for accurate and reliable health information for patients living with amyloidosis. However, ChatGPT's responses exceeded the American Medical Association's recommended fifth- to sixth-grade reading level. Future studies focusing on improving response accuracy and readability are warranted. Prior to widespread implementation, the technology's limitations and ethical implications must be further explored to ensure patient safety and equitable implementation.

Parents' User Experience Accessing and Using a Web-Based Map of COVID-19 Recommendations for Health Decision-Making: Qualitative Descriptive Study.

The eCOVID19 Recommendations Map & Gateway to Contextualization (RecMap) website was developed to identify all COVID-19 guidelines, assess the credibility and trustworthiness of the guidelines, and make recommendations understandable to various stakeholder groups. To date, little has been done to understand and explore parents' experiences when accessing and using the RecMap website for COVID-19 health decision-making. To explore (1) where parents look for COVID-19 health information and why, (2) parents' user experience when accessing and using the RecMap website to make health decisions, and (3) what knowledge mobilization activities are needed to increase parents' awareness, use, and engagement with the RecMap website. We conducted a qualitative descriptive study using semistructured interviews and a think-aloud activity with parents of children aged 18 years or younger living in Canada. Participants were asked to provide feedback on the RecMap website and to "think aloud" as they navigated the website to find relevant COVID-19 health recommendations. Demographic information was collected using a web-based questionnaire. A hybrid deductive and inductive thematic approach guided analysis and data synthesis. A total of 21 participants (13/21, 62% mothers) were interviewed and participated in a think-aloud activity. The data were categorized into four sections, representative of key elements that deductively and inductively emerged from the data: (1) parent information seeking behaviors and preferences for COVID-19, (2) RecMap website usability, (3) perceived usefulness of the RecMap website, and (4) knowledge mobilization strategies to increase awareness, use, and engagement of the RecMap website. Parents primarily used the internet to find COVID-19 information and focused on sources that they determined to be credible, trustworthy, simple, and engaging. As the pandemic evolved, participants' information-seeking behaviors changed, specifically their topics of interest and search frequency. Most parents were not aware of the RecMap website before this study but found satisfaction with its concept and layout and expressed intentions to use and share it with others. Parents experienced some barriers to using the RecMap website and suggested key areas for improvement to facilitate its usability and perceived usefulness. Recommendations included a more user-friendly home page for lay audiences (separate public-facing user interface), improving the search and filter options, quicker navigation, clearer titles, more family-friendly graphics, and improving mobile-friendly access. Several strategies to disseminate the RecMap website were also expressed, including a mix of traditional and nontraditional methods (handouts and social media) in credible and high-traffic locations that parents frequent often. Overall, parents liked the concept of the RecMap website but had some suggestions to improve its usability (language, navigation, and website interface). These findings can be used to improve the RecMap website for parents and offer insight for the development and dissemination of effective web-based health information tools and resources for the general public.

Towards global model generalizability: independent cross-site feature evaluation for patient-level risk prediction models using theOHDSI network.

Predictive models show promise in healthcare, but their successful deployment is challenging due to limited generalizability. Current external validation often focuses on model performance with restricted feature use from the original training data, lacking insights into their suitability at external sites. Our study introduces an innovative methodology for evaluating features during both the development phase and the validation, focusing on creating and validating predictive models for post-surgery patient outcomes with improved generalizability. Electronic health records (EHRs) from 4 countries (United States, United Kingdom, Finland, and Korea) were mapped to the OMOP Common Data Model (CDM), 2008-2019. Machine learning (ML) models were developed to predict post-surgery prolonged opioid use (POU) risks using data collected 6 months before surgery. Both local and cross-site feature selection methods were applied in the development and external validation datasets. Models were developed using Observational Health Data Sciences and Informatics (OHDSI) tools and validated on separate patient cohorts. Model development included 41929 patients, 14.6% with POU. The external validation included 31932 (UK), 23100 (US), 7295 (Korea), and 3934 (Finland) patients with POU of 44.2%, 22.0%, 15.8%, and 21.8%, respectively. The top-performing model, Lasso logistic regression, achieved an area under the receiver operating characteristic curve (AUROC) of 0.75 during local validation and 0.69 (SD = 0.02) (averaged) in external validation. Models trained with cross-site feature selection significantly outperformed those using only features from the development site through external validation (P < .05). Using EHRs across four countries mapped to the OMOP CDM, we developed generalizable predictive models for POU. Our approach demonstrates the significant impact of cross-site feature selection in improving model performance, underscoring the importance of incorporating diverse feature sets from various clinical settings to enhance the generalizability and utility of predictive healthcare models.

An acceptance analysis of a sexual health education digital tool in resource-poor regions of Kenya: an UTAUT based survey study

BackgroundUnplanned pregnancies and sexually transmitted diseases are a concern in Sub-Saharan Africa, particularly in low-income areas. Access to sexual health information is limited, partly due to the absence of comprehensive sex education in the national school curriculum and social taboos. In response to these challenges, this study introduces a web-based prototype, designed to provide essential sexual health information, targeting 18 to 35-year-old Kenyans, focusing on contraception, menstruation, and female genital mutilation.MethodAiming to investigate young adults’ behavioral intention to use a digital tool for sexuality education, by analyzing factors affecting acceptance and usability in low-income and resource-poor regions in Kenya. To explore the acceptability and use of the developed digital tool, this study used a modified version of the Unified Theory of Acceptance and Use of Technology (UTAUT), complemented by the System Usability Scale (SUS) questionnaire. For statistical analysis, a Structural Equation Model (SEM) including Confirmatory Factor Analysis (CFA) and Linear Regression was used. Regarding the reporting of the E-survey results, the Checklist for Reporting Results of Internet E-surveys (CHERRIES), was considered.ResultsSurvey information from 77 persons (69 female, 7 male, 1 diverse) were collected. A modified UTAUT appears as an appropriate model for measuring the constructs and integrating evidence-based approaches to advanced and safe sexual healthcare information. Results from the SEM showed perceived usefulness, attitude towards healthcare integrated evidence technology, and usability as well as having a significant positive impact on the acceptance, the intention to use as well as wellbeing. Having the resources and knowledge necessary for the usage of a digital tool turns out to have a significant negative impact. A SUS score of 67.3 indicates the usability of the tool for sexual health information, assessed as okay.ConclusionsThe study adopts validated methods to assess the acceptability and usability of a digital sexual health education tool in Kenya. Emphasizing its potential effectiveness and highlighting the influence of cultural and contextual factors on technology adoption.

Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study.

National classifications and terminologies already routinely used for documentation within patient care settings enable the unambiguous representation of clinical information. However, the diversity of different vocabularies across health care institutions and countries is a barrier to achieving semantic interoperability and exchanging data across sites. The Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) enables the standardization of structure and medical terminology. It allows the mapping of national vocabularies into so-called standard concepts, representing normative expressions for international analyses and research. Within our project "Hybrid Quality Indicators Using Machine Learning Methods" (Hybrid-QI), we aim to harmonize source codes used in German claims data vocabularies that are currently unavailable in the OMOP CDM. This study aims to increase the coverage of German vocabularies in the OMOP CDM. We aim to completely transform the source codes used in German claims data into the OMOP CDM without data loss and make German claims data usable for OMOP CDM-based research. To prepare the missing German vocabularies for the OMOP CDM, we defined a vocabulary preparation approach consisting of the identification of all codes of the corresponding vocabularies, their assembly into machine-readable tables, and the translation of German designations into English. Furthermore, we used 2 proposed approaches for OMOP-compliant vocabulary preparation: the mapping to standard concepts using the Observational Health Data Sciences and Informatics (OHDSI) tool Usagi and the preparation of new 2-billion concepts (ie, concept_id >2 billion). Finally, we evaluated the prepared vocabularies regarding completeness and correctness using synthetic German claims data and calculated the coverage of German claims data vocabularies in the OMOP CDM. Our vocabulary preparation approach was able to map 3 missing German vocabularies to standard concepts and prepare 8 vocabularies as new 2-billion concepts. The completeness evaluation showed that the prepared vocabularies cover 44.3% (3288/7417) of the source codes contained in German claims data. The correctness evaluation revealed that the specified validity periods in the OMOP CDM are compliant for the majority (705,531/706,032, 99.9%) of source codes and associated dates in German claims data. The calculation of the vocabulary coverage showed a noticeable decrease of missing vocabularies from 55% (11/20) to 10% (2/20) due to our preparation approach. By preparing 10 vocabularies, we showed that our approach is applicable to any type of vocabulary used in a source data set. The prepared vocabularies are currently limited to German vocabularies, which can only be used in national OMOP CDM research projects, because the mapping of new 2-billion concepts to standard concepts is missing. To participate in international OHDSI network studies with German claims data, future work is required to map the prepared 2-billion concepts to standard concepts.

Understanding Loneliness in Younger People: Review of the Opportunities and Challenges for Loneliness Interventions

Loneliness affects the quality of life of people all around the world. Loneliness is also shown to be directly associated with mental health issues and is often the cause of mental health problems. It is also shown to increase the risk of heart diseases and other physical illnesses. Loneliness is studied both from the social and medical sciences perspectives. There are also interventions on the basis of health informatics, information and communication technologies (ICTs), social media, and other technological solutions. In the literature, loneliness is studied from various angles and perspectives ranging from biological to socioeconomical and through anthropological understandings of technology. From the ICT and technological sides, there are multiple reviews studying the effectiveness of intervention strategies and solutions. However, there is a lack of a comprehensive review on loneliness that engulfs the psychological, social, and technological studies of loneliness. From the perspective of loneliness informatics (ie, the application of health informatics practices and tools), it is important to understand the psychological and biological basis of loneliness. When it comes to technological interventions to fight off loneliness, the majority of interventions focus on older people. While loneliness is highest among older people, theoretical and demographical studies of loneliness give a U-shaped distribution age-wise to loneliness; that is, younger people and older people are the demographics most affected by loneliness. But the strategies and interventions designed for older people cannot be directly applied to younger people. We present the dynamics of loneliness in younger people and also provide an overview of the technological interventions for loneliness in younger people. This paper presents an approach wherein the studies carried out from the perspectives of digital health and informatics are discussed in detail. A comprehensive overview of the understanding of loneliness and the study of the overall field of tools and strategies of loneliness informatics was carried out. The need to study loneliness in younger people is addressed and particular digital solutions and interventions developed for younger people are presented. This paper can be used to overcome the challenges of technological gaps in the studies and strategies developed for loneliness. The findings of this study show that the majority of interventions and reviews are focused on older people, with ICT-based and social media–based interventions showing promise for countering the effects of loneliness. There are new technologies, such as conversational agents and robots, which are tailored to the particular needs of younger people. This literature review suggests that the digital solutions developed to overcome loneliness can benefit people, and younger people in particular, more if they are made interactive in order to retain users.

The preferred IT sources and tools of Iranian people for accessing health information

IntroductionPeople need health information to maintain their health. Despite the variety of sources and tools for providing health information, there is little evidence about Iranian people's preferences in using these sources and tools. The objective of this study was to identify the preferred health information sources, tools, and methods for presenting health information in these tools.MethodsThis national survey was conducted among a sample of 4000 Iranian people between April and September 2021. The data was collected using a valid and reliable questionnaire (α = 0.86) consisting of four sections: participants' demographic information, current sources of obtaining health information, preferred information technology (IT) tools for accessing health information, and the method of presenting this information. Linear regression was used to investigate the relationship between demographic factors and other questions.ResultsThe participants received health information mostly from the "Internet" (3.62), "family or friends" (3.43), "social networks" (3.41), "specific websites" (3.41), and "mobile apps" (3.27). "Social networks" (3.67), Internet "websites" (3.56), and "mobile apps" (3.50) were the most suitable tools for receiving health information. The participants preferred the presentation of health information in the form of "Images" (3.85), "educational videos" (3.69), and "texts" (3.53). Age, education, and marital status had a significant relationship with most of the preferred information sources, tools, and information presentation methods (p < 0.05).ConclusionThe results of this study showed that Iranian people are more active information seekers than passive ones compared to a decade ago. The preferred sources and tools identified in this research can be used by healthcare planners and policy-makers in Iran and other developing countries to design and develop IT interventions that meet people's needs. Improving access to the Internet, social networks, and mobile apps and providing health information via images, educational videos, and texts on these platforms enhance access to the information people need.

Infant oral health education curriculum for medical, nursing, and social work trainees

Tooth decay is the most common chronic disease in children, and children often see their primary care practitioners more frequently than dentists (Adjaye-Gbewonyo and Black 2019-2020; National Center for Health Statistics 2019-2020). This Infant Oral Health Education Program included two online training sessions for trainees in social work, nursing, medicine, and dentistry. Trainees were assessed on anticipated changes to their practice related to children's oral health. During the first training session, trainees received a lecture on infant oral health, and then discussed a case study in interprofessional groups to reinforce the content. Trainees in medicine and nursing completed training to receive Medicaid reimbursement for performing preventive oral health services. The second training session was profession specific with tailored instructions in the form of videos, as well as a demonstration on fluoride varnish application. Of the 78 trainees (22 social work, 4 pediatric nurse practitioner, 38 pediatric medicine residents, and 14 pediatric dentistry residents), 91 % (n = 70) reported that they were introduced to at least one new health information resource or tool. Four-fifths of the eligible trainees (n = 16/20, 80 %) who completed the evaluation had fulfilled the State's requirements to receive Medicaid reimbursement for performing preventive oral health services. Three-fourths of trainees (n = 22/29, 75 %) reported that they are likely to promote children's oral health in future clinical practice. Trainees from all four professions provided positive feedback about the content.

Transforming Crisis into Opportunity: Exploring the Educational Potential of the Corona Pandemic through a STEM Approach

The Corona pandemic has sparked widespread fear and uncertainty among pupils worldwide, but it has also presented an unexpected educational opportunity for fostering critical thinking skills through a STEAM discipline in relation to COVID-19. Recognized this global challenge as a platform to develop an interdisciplinary study module for elementary school pupils that integrates health and education. The study module facilitated exploration of different facets of the pandemic. Pupils developed an understanding of the virus, delved into the science of the immune system using interactive learning games. Pupils researched vaccination technology in small groups, they research antigen detection kit focusing on the product features of components, materials and ease of use and the reliability of home antigen testing. Mathematical models were constructed to analyze COVID-19 data and comprehend epidemiological concepts, empowering students to interpret infection rates, transmission patterns, and the impact of preventive measures. Furthermore, the integration of art within the STEM framework played a crucial role in solidifying the acquired knowledge. Pupils employed their design and engineering skills to visually represent viral antigens and antibodies, create educational games for identifying cells, and develop age-appropriate health information tools for their peers. By leveraging artistic elements such as language, color, and technical designs, students actively contributed to the production of effective resources that promoted health education and infection prevention among their peers. The STEAM approach facilitated interdisciplinary learning, critical thinking, and creativity, equipping students to navigate complex health crises by reducing fear and anxiety through enjoyable academic experiences.

Googling long-acting reversible contraception: A scoping review examining the information available online about intrauterine devices and contraceptive implants.

The internet is an important source of health information, however, the quality of information about long-acting reversible contraception (LARC, including intrauterine devices (IUDs) and contraceptive implants) found online is largely unknown. A scoping review of webpages returned in a Google search was conducted. The first three pages of results were included if they were written in English and contained information about LARC. Results were critically reviewed and assessed using the DISCERN quality of health information tool. Of 778 results, 306 pages met the eligibility criteria. While most webpages provided key information about LARC, including location in the body, benefits, side effects and risks, the information provided varied considerably. Only half mentioned efficacy and many webpages did not provide information about the cost of insertion and removal, how and where to access the devices or how they work. Despite side effects being mentioned in more than three-quarters of webpages, the depth and specificity of these varied considerably and were often contradictory across different webpages. Most webpages provided medically accurate information to consumers; however, many did not include key information such as cost or how they work. Descriptions of side effects varied between webpages, and this may inhibit informed decision-making. SO WHAT?: Most people make decisions about what contraceptive method they might like to use before visiting a health care provider, and most will get this information from the internet. Providing comprehensive, medically accurate and consistent information about both IUDs and contraceptive implants is vital to support informed decision-making.

Information Professionals’ Use of Social Networking Sites in the time of Medical Emergency

Aim: To explore the most used Web 2.0 tools for health information during COVID-19, to identify the most used social media tool for health information during COVID-19 and to explore the type of health information explored on social networking sites Method: The present study specifically explored the librarians' approach to using social networking sites for the provision of information services. The present study measured librarians' use of social networking sites to provide health information quantitatively. For this purpose, a structured questionnaire was used to survey librarians of university libraries in Punjab.` Results: The results of the study validated that information professionals are keen and active in using social media for seeking out health information and also rely on more personal networks like WhatsApp. They searched for COVID-19-related information mostly other than fetching out general information. For this reason, we mostly relied on discussion groups, not random information-seeking. This shows their level of committed indulgence in these social media platforms, and they used their information literacy skills to seek health information. Conclusion: University librarians are an essential and vital element of any university, and they should be investigated in order to improve their services and resources to meet the demands of their users and researchers. Keywords: Health Information Seeking; Health resources, Social Networking Site; Covid-19

Designing an infographic webtool for public health.

To create and evaluate a public health informatics tool, Florence, for communicating information to the public. This user-centered design study included 3 phases: (1) an interview and survey study with public health practitioners to assess needs for creating infographics; (2) the application of assessment findings and public health-motivated design guidelines to the design and development of a public health-specific infographic design tool; and (3) a feasibility and usability study to evaluate the feasibility and usability of the tool. In phase 1, participants noted the importance of tailoring infographics to an audience and wanted flexible tools along with design guidance to help make fewer design decisions. In phase 2, we developed a prototype tool with: (1) layout and functionality familiar to PH users, (2) quick and intuitive ways to add and modify data in visualizations, and (3) health-focused visual elements. In phase 3, participants found Florence to be usable, providing an intuitive and straightforward experience, and that the focus on public health was useful. Based on needs assessments and existing literature, we created Florence along with public health practitioners to address their domain specific needs, ultimately leading to a tool that participants in our study deemed useful. Future research can build on our work to develop user-centered tools to meet their needs. Infographics are important for public health communication. Creating user-centered solutions to address the unique needs of public health can support communication efforts.

The Mobile Patient Information Assistant (PIA) App during the Inpatient Surgical Hospital Stay: Evaluation of Usability and Patient Approval.

Mobile eHealth apps are becoming increasingly important tools in healthcare management, capable of providing education and support at any time. There is little knowledge about surgical patients' appreciation and use of these apps. The objective of this study was to develop and evaluate a user-friendly medical app (PIA; Patient Information Assistant) for providing individual patient information before and after inpatient urological surgery. Twenty-two patients aged 35 to 75 years were provided with timely information, push notifications, and personalized agendas (e.g., date of presentation, time of surgery, time of doctor's consultation, imaging appointment) via the PIA app. Of the 22 patients, 19 evaluated the PIA app in terms of usage and usability, benefits, and potential for improvement. Of the study participants, 95% did not need any assistance to use the app, 74% confirmed that the PIA app made them feel better informed and more satisfied with their hospital stay, and 89% stated that they would like to re-use the PIA app and support the general use of medical apps in healthcare. Thus, we created an innovative digital health information tool, allowing targeted support for doctor-nurse-patient communication and offering great potential for patient support before and after surgery. Our study revealed that use of an app during the surgical hospital stay is readily accepted and benefits patients by acting as an additional informative tool.

SYMBOLIC INTERACTION IN USING TELEMEDICINE APPLICATIONS DURING A PANDEMIC (A CASE STUDY OF FIKOM UNTAR STUDENTS IN USING THE HALODOC APPLICATION)

Currently, almost the whole world is facing a pandemic. Therefore, since the Covid-19 pandemic has become a world health crisis, telemedicine application services is an option in the current pandemic situation. Halodoc telemedicine application is a health service in Indonesia that was created to make it easier to access health by utilizing online application technology. The Halodoc telemedicine application is a health application that provides information and helps deal with users' health problems during the pandemic. Symbolic interaction plays an essential role by female students in using the Halodoc telemedicine application during the pandemic. This study uses a qualitative exploratory approach methodology with a case study method. Informants in this study were students of FIKOM UNTAR who used the Halodoc telemedicine application. Researchers choose informants because they are in accordance with the fulfillment of research data. Data collection was carried out using 2 types, namely, primary data including observation, in-depth interviews, and documentation. And secondary data in the form of archival records and literature study. The author's results will go through data reduction, data presentation, conclusion drawing, and data validity. This study concludes that female students use the Halodoc telemedicine application to meet health needs during the pandemic. The Halodoc telemedicine application is used as an online health information tool remotely. In this case, there is a symbolic interaction that contains symbols such as the prevailing culture, the symbolic in the application features, and the expectations of the Halodoc telemedicine application users.

An artificial intelligence-based chatbot for prostate cancer education: Design and patient evaluation study.

Artificial intelligence (AI) is increasingly used in healthcare. AI-based chatbots can act as automated conversational agents, capable of promoting health and providing education at any time. The objective of this study was to develop and evaluate a user-friendly medical chatbot (prostate cancer communication assistant (PROSCA)) for provisioning patient information about early detection of prostate cancer (PC). The chatbot was developed to provide information on prostate diseases, diagnostic tests for PC detection, stages, and treatment options. Ten men aged 49 to 81 years with suspicion of PC were enrolled in this study. Nine of ten patients used the chatbot during the evaluation period and filled out the questionnaires on usage and usability, perceived benefits, and potential for improvement. The chatbot was straightforward to use, with 78% of users not needing any assistance during usage. In total, 89% of the chatbot users in the study experienced a clear to moderate increase in knowledge about PC through the chatbot. All study participants who tested the chatbot would like to re-use a medical chatbot in the future and support the use of chatbots in the clinical routine. Through the introduction of the chatbot PROSCA, we created and evaluated an innovative evidence-based health information tool in the field of PC, allowing targeted support for doctor-patient communication and offering great potential in raising awareness, patient education, and support. Our study revealed that a medical chatbot in the field of early PC detection is readily accepted and benefits patients as an additional informative tool.