Health Social Media Research Articles

Source Trust and COVID-19 Information Sharing: The Mediating Roles of Emotions and Beliefs About Sharing.

Health information sharing has become especially important during the COVID-19 (coronavirus disease 2019) pandemic because people need to learn about the disease and then act accordingly. This study examines the perceived trust of different COVID-19 information sources (health professionals, academic institutions, government agencies, news media, social media, family, and friends) and sharing of COVID-19 information in China. Specifically, it investigates how beliefs about sharing and emotions mediate the effects of perceived source trust on source-specific information sharing intentions. Results suggest that health professionals, academic institutions, and government agencies are trusted sources of information and that people share information from these sources because they think doing so will increase disease awareness and promote disease prevention. People may also choose to share COVID-19 information from news media, social media, and family as they cope with anxiety, anger, and fear. Taken together, a better understanding of the distinct psychological mechanisms underlying health information sharing from different sources can help contribute to more effective sharing of information about COVID-19 prevention and to manage negative emotion contagion during the pandemic.

HUBUNGAN SIKAP TENTANG ALAT KONTRASEPSI PRIA DENGAN PARTISIPASI SUAMI MENGGUNAKAN ALAT KONTRASEPSI DI KELURAHAN KEBONBARU KOTA CIREBON

Negara berkembang mempunyai berbagai jenis permasalahan yang dihadapi, salah satunya adalah masalah tingginya laju pertumbuhan penduduk, termasuk di dalamnya adalah Negara Indonesia. Pemerintah melalui program keluarga berencana (KB) berupaya melakukan penanggulangan laju pertumbuhan penduduk ini.Pada umumnya akseptor KB lebih banyak berasal dari kaum wanita, dibandingkan pria. Pasangan, dalam hal ini suami memiliki kewajiban yang sama untuk ikut berpartisipasi dalam melaksanakan program KB yang telah digalakan oleh pemerintah. Penelitian ini bertujuan untuk mengetahui hubungan sikap tentang alat kontrasepsi pria dengan partisipasi suami. Penelitian ini menggunakan metode penelitian analitik dengan pendekatan cross sectional, dengan jumlah populasi 1.022 jiwa, dan jumlah sampel 88 orang. Analisis dilakukan uji statistik chi-kuadrat. Hasil penelitian menunjukkan adanya hubungan sikap tentang kontrasepsi pria dengan partisipasi suami dalam menggunakan alat kontrasepsi di Kelurahan Kebonbaru Kota Cirebon dengan nilai p value sebesar 0,001 lebih kecil dari nilai alpha 0,05. Diharapkan bagi pria usia subur dapat meningkatkan pengetahuan melalui informasi secara langsung dari petugas kesehatan atau media sosial sehingga dapat meningkatkan pengetahuan seputar alat kontrasepsi agar suami dapat ikut serta berpartisipasi dalam penggunaan alat kontrasepsi.

Health Information behaviour during COVID-19 outbreak among Egyptian library and information science undergraduate students

Health information shared on the Internet has the potential to improve people’s quality of life. However, the level of health information literacy and informational skills determines the individuals’ ability to obtain credible health information useful for them. This study investigates the Egyptian LIS undergraduates’ health information behaviour during the COVID-19 pandemic. The study has adopted a quantitative approach using a questionnaire to explore library and information science undergraduates’ health information behaviour. A sample of 161 students answered a questionnaire. The data were analysed using SPSS software. The study results show that official health websites, social media, and family and friends are the primary sources for health information for the participants. The findings also revealed that the sample has adequate health information skills, though many of the participants still need to raise their information literacy skills. Information credibility and personal beliefs were found to affect the participants’ decision to share health information on the Internet. One of the limitations of the study is that the sample selected in this study was LIS students who are trained to find reliable information as part of their education. Findings may be different for the “average” student. Furthermore, the questionnaire was distributed in one university, which means that the results cannot be generalised in other LIS departments using different courses. Therefore, more studies need to be conducted in other LIS departments with different course plans as they may produce different results. This study explores the health information behaviour of LIS undergraduates during the COVID-19 pandemic. The current study results may help develop the course plan in many LIS departments in Egypt and the Middle East, which would help improve the students’ health information literacy.

Psychological Impact of Health Risk Communication and Social Media on College Students During the COVID-19 Pandemic: Cross-Sectional Study.

BackgroundThe outbreak of COVID-19 began in 2019 and is expected to impact the psychological health of college students. Few studies have investigated the associations among health risk communication, social media, and psychological symptoms during a major pandemic.ObjectiveThe aim of this research was to assess the prevalence of psychological symptoms among college students and explore their associations with health risk communication and social media.MethodsA web-based survey was distributed through the Wenjuanxing platform among Chinese college students from March 3-15, 2020. In addition to demographics, information on health risk communication and social media was collected, and the Symptom Checklist 90 Phobia and Health Anxiety Inventory subscale was used to assess psychological symptoms among 1676 college students in China. Multivariable logistic regression was performed to examine these independent risk factors.ResultsThe prevalence of panic and health anxiety was 17.2% (288/1676) and 24.3% (408/1676), respectively. Regarding risk communication, understanding the risk of COVID-19 (odds ratio [OR] 0.480, 95% CI 0.367-0.627) was a protective factor against panic. Knowledge of prognosis (OR 0.708, 95% CI 0.551-0.910), preventive measures (OR 0.380, 95% CI 0.195-0.742), and wearing face masks (OR 0.445, 95% CI 0.230-0.862) were shown to be protective factors in predicting health anxiety. Perceived lethality (OR 1.860, 95% CI 1.408-2.459), being affected by the global spread (OR 1.936, 95% CI 1.405-2.669), and impact on social contacts (OR 1.420, 95% CI 1.118-1.802) were identified as significant risk factors associated with health anxiety. In terms of social media, trust in mainstream media (OR 0.613, 95% CI 0.461-0.816) was considered to be a protective factor against health anxiety.ConclusionsThere was a high prevalence of psychological symptoms among college students. Health risk communication and social media use were important in predicting psychological symptoms, especially health anxiety. Scientific and evidence-based information should be reported by social media platforms. Web-based consultation and intervention measures should be the focus of future studies.

Health Personnel's Perceived Usefulness of Internet-Based Interventions for Parents of Children Younger Than 5 Years: Cross-Sectional Web-Based Survey Study.

BackgroundApproximately 10%-15% of children struggle with different socioemotional and psychological difficulties in infancy and early childhood. Thus, health service providers should have access to mental health interventions that can reach more parents than traditional face-to-face interventions. However, despite increasing evidence on the efficacy of internet-based mental health interventions, the pace in transferring such interventions to health care has been slow. One of the major suggested barriers to this may be the health personnel’s attitudes to perceived usefulness of internet-based interventions.ObjectiveThe purpose of this study was to examine health professionals’ perceived usefulness of internet-based mental health interventions and to identify the key areas that they consider new internet-based services to be useful.MethodsBetween May and September 2018, 2884 leaders and practitioners of infant and child health services were recruited to a cross-sectional web-based survey through the following channels: (1) existing email addresses from the Regional Centre for Child and Adolescent Mental Health, Eastern and Southern Norway, course database, (2) an official mailing list to infant and child health services, (3) social media, or (4) other recruitment channels. Respondents filled in background information and were asked to rate the usefulness of internet-based interventions for 12 different infant and child mental health problem areas based on the broad categories from the Diagnostic Classification of Mental Health and Developmental Disorders of Infancy and Early Childhood (DC:0-5). Perceived usefulness was assessed with 1 global item: “How often do you think internet-based self-help programs can be useful for following infant and child mental health problems in your line of work?” The answers were scored on a 4-point scale ranging from 0 (never) to 3 (often).ResultsThe participants reported that they sometimes or often perceived internet-based interventions as useful for different infant and child mental health problems (scale of 0-3, all means>1.61). Usefulness of internet-based interventions was rated acceptable for sleep problems (mean 2.22), anxiety (mean 2.09), and social withdrawal and shyness (mean 2.07), whereas internet-based interventions were rated as less useful for psychiatric problems such as obsessive behaviors (mean 1.89), developmental disorders (mean 1.91), or trauma (mean 1.61). Further, there were a few but small differences in perceived usefulness between service leaders and practitioners (all effect sizes<0.32, all P<.02) and small-to-moderate differences among daycare centers, well-baby clinics, municipal child welfare services, and child and adolescent mental health clinics (all effect sizes<0.69, all P<.006).ConclusionsInternet-based interventions for different infant and child mental health problems within services such as daycare centers, well-baby clinics, municipal child welfare services, and child and adolescent mental health clinics are sometimes or often perceived as useful. These encouraging findings can support the continued exploration of internet-based mental health interventions as a way to improve parental support.

Suicide risk assessment in UK mental health services: a national mixed-methods study

Risk assessments are a central component of mental health care. Few national studies have been done in the UK on risk assessment tools used in mental health services. We aimed to examine which suicide risk assessment tools are in use in the UK; establish the views of clinicians, carers, and service users on the use of these tools; and identify how risk assessment tools have been used with mental health patients before suicide. We did a mixed-methods study involving three components: collection and content analysis of risk assessment tools used by UK mental health services; an online survey of clinicians, service-users, and carers; and qualitative telephone interviews with clinicians on their use of risk assessment tools before a suicide death and their views of these tools. The online survey was advertised through the National Confidential Inquiry into Suicide and Safety in Mental Health's (NCISH) website and social media, and it included both quantitative and open-ended qualitative questions, and respondents were recruited through convenience sampling. For the telephone interviews, we examined the NCISH database to identify clinicians who had been responsible for the care of a patient who died by suicide and who had been viewed as being at low or no immediate risk of suicide. We obtained 156 risk assessment tools from all 85 National Health Service mental health organisations in the UK, and 85 (one per each organisation) were included in the analysis. We found little consistency in use of these instruments, with 33 (39%) of 85 organisations using locally developed tools. Most tools aimed to predict self-harm or suicidal behaviour (84 [99%] of 85), and scores were used to determine management decisions (80 [94%]). Clinicians described positive aspects of risk tools (facilitating communication and enhancing therapeutic relationships) but also expressed negative views (inadequate training in the use of tools and their time-consuming nature). Both patients and carers reported some positive views, but also emphasised little involvement during risk assessment, and a lack of clarity on what to do in a crisis. Assessment processes need to be consistent across mental health services and include adequate training on how to assess, formulate, and manage suicide risk. An emphasis on patient and carer involvement is needed. In line with national guidance, risk assessment should not be seen as a way to predict future behaviour and should not be used as a means of allocating treatment. Management plans should be personalised and collaboratively developed with patients and their families and carers. The Healthcare Quality Improvement Partnership.

Entry and initial spread of COVID-19 in India: Epidemiological analysis of media surveillance data, India, 2020

BackgroundIndia reported first laboratory-confirmed case of coronavirus disease 2019 (COVID-19) on 30 January from Kerala. Media surveillance is useful to capture unstructured information about outbreaks. We established media surveillance and described the characteristics of the COVID-19 cases, clusters, deaths by time, place, and person during January–March 2020 in India. MethodsThe media surveillance team of ICMR-National Institute of Epidemiology abstracted data from public domains of India's Central and State health ministries, online news and social media platforms for the period of January 31 to March 26, 2020. We collected data on person (socio-demographics, circumstances of travel/contact, clinical and laboratory), time (date/period of reported exposures; laboratory confirmation and death) and place (location). We drew epidemic curve, described frequencies of cases by age and gender. We described available details for identified clusters. ResultsAs of March 26, 2020, India reported 694 (Foreigners = 45, 6%) confirmed COVID-19 cases (Attack rate = 0.5 per million population) and 17 deaths (Fatality = 2.5%) from 21 States and 6 Union Territories. The cases were higher among 20–59 years of age (60 of 85) and male gender (65 of 107). Median age at death was 68 years (Range: 38–85 years). We identified 13 clusters with a total of 63 cases and four deaths among the first 200 cases. ConclusionSurveillance of media sources was useful in characterizing the epidemic in the early phase. Hence, media surveillance should be integrated in the routine surveillance systems to map the events specially in context of new disease outbreaks.

Limited health literacy increases the risk of orthorexia nervosa among urban schoolteachers

Background Orthorexia nervosa (ON) describes a pathological obsession with proper nutrition that is characterized by a restrictive diet, ritualized patterns of eating, and rigid avoidance of foods believed to be unhealthy or impure. Limited health literacy may play a role in the onset and progression of orthorexia. The aim of this study was to determine the relationship between health literacy and ON among urban schoolteachers.MethodsThis cross-sectional study was conducted in central Black Sea region of Turkey with 420 primary and secondary schoolteachers aged between 18 and 51 years. A questionnaire form including socio-demographic characteristics was used. The Orthorexia Nervosa Questionnaire (ORTO-15) was used to assess orthorexia nervosa behavior and the Turkey Health Literacy Scale (TSOY-32) to assess health literacy. Simple binary and multiple binary logistic regression analyses were carried out to verify the associations between the variables.ResultsOf the study group 46.4% were in the 40-49 year age group, 53.8% were male, 78.6% had ON and 93.6% had limited health literacy. Nearly all of the orthorexics (96.4%) had limited health literacy. Female gender, Instagram use and limited health literacy was significantly associated with ON. Limited health literacy increases the risk of ON 4.85 times among teachers (aOR=4.85;95% C.I. : 2.15-10.94;p=0.000).ConclusionThe current findings suggest that limited health literacy is the strongest risk factor for ON among urban schoolteachers. School health literacy and social media literacy programs can open a new window into revealing ON.

The Influence of YouTube Advertising on the Attitude towards Fruits and Vegetable Consumption among University Students in Malaysia

In 2005 with an emphasis on user-generated content, YouTube has become the predominant stage for online video around the world. Nowadays, YouTube has become increasingly attractive to advertisers, not only in conventional commercials but also in terms of promoting health marketing campaigns. This paper aims to investigate the influence that YouTube advertising has on attitudes towards fruits and vegetable consumption among university students, specifically in Malaysia. For this paper, Tripartite Attitude Model is employed as a foundation model to develop the conceptual framework. Perceived credibility, perceived usefulness, perceived video characteristics, number of likes, views, comments and replies are used as independent variables while attitudes towards fruits and vegetable consumption are treated as a dependent variable. A total of 280 offline questionnaires were distributed in eight local universities in Malaysia. The findings demonstrate that perceived usefulness and number of likes, views, comments and replies are the strongest positive drivers of attitudes towards fruits and vegetable consumption among university students in Malaysia. This paper provides novelty as it contributes to the marketing literature particularly in health marketing and social media studies. In addition, relevant local authorities and health marketers can also benefit from the findings in designing their future health communication campaign. Keywords : YouTube advertising, fruit and vegetable consumption, attitude, tripartite attitude model, health marketing.

Mental health discourse and social media: Which mechanisms of cultural power drive discourse on Twitter.

The global burden of mental health disorders has increased steadily during the past decade. Today, mental illness is the leading cause of total years lived with disability. At the same time, global mental health policies and budgets fall short of addressing the societal burden as mental health discourse languishes in the shadows due to stigma. As social media have become an increasingly popular source of information, they create opportunities as well as threats for mental health discourse. On the one hand, social media can help to bring awareness to stigmatized topics as they give marginalized members of society the possibility to share experiences and voice their discontent. On the other hand, mental health discourse on social media may lead to stigmatization. To date, little is known about social media mental health discourse and what drives it. This study addresses these research gaps by (1) mapping the mental health discourse on Twitter and (2) analyzing mechanisms of cultural power through which some mental health topics take prevalence over the others. Drawing on Twitter data, this research employs innovative methods of topic modeling, sentiment analysis, and panel data regression analyses. Theoretically, it combines, in a multidisciplinary fashion, concepts such as emotional energy and cognitive focus from sociology and bandwagon behavior from economics. Our findings show that low-cost attention mechanisms are ineffective in fostering online mental health discourse, whereas emotional energy and discursive variability have a positive influence by engaging audiences, creating online solidarity, and speaking to worldviews of audiences from different walks of life. Social media mental health discourse is also shown to be quite diverse and more stigma-neutral than such discourse in traditional media.

Are you ready for the challenge? Social Media Health Challenges for Behaviour Change.

Challenges are one of the most common strategies used by Opinion Leaders on Social Media to engage users. They are often found in different areas; in the Health field, the use of challenges is growing, namely through initiatives aiming at eating behaviour change. Instagram is considered to be one of the most used Social Media applications to develop these initiatives, allowing Opinion Leaders to communicate and engage with their online followers. Despite this scenario, little is known regarding how Health Challenges are being used and what is their impact on behaviour change. Previous research has already shown how Opinion Leaders use Instagram to promote eating behaviour change. The purpose of this paper is to conceptualize, describe and discuss Social Media Health Challenges, aiming to analyse Instagram challenges on healthy eating. The study was organized in two phases: the first one is a literature review based on Prisma method that supported the conceptualisation of Social Media Challenges and the design for the second phase where Social Media Health Challenges of Opinion Leaders, such as Nutritionists, Health Lifestylers and Patient Opinion Leaders (POLS) were analysed. Results showed that most of the challenges are promoted by Patient Opinion Leaders and Health Lifestylers. Followers adhere to Social Media Health Challenges related to weight loss, engaging with Opinion Leaders. The psychological-cognitive components (such as habits, motivation, and self-control) were found in the analysed challenges, and Instagram is one of the used tools to promote these Initiatives. These results point to new paths regarding future research on other behaviour change online initiatives.

Uniformity of Food Protein Interpretation Amongst Dietitians for Patients with Phenylketonuria (PKU): 2020 UK National Consensus Statements.

In phenylketonuria (PKU), variable dietary advice provided by health professionals and social media leads to uncertainty for patients/caregivers reliant on accurate, evidence based dietary information. Over four years, 112 consensus statements concerning the allocation of foods in a low phenylalanine diet for PKU were developed by the British Inherited Metabolic Disease Dietitians Group (BIMDG-DG) from 34 PKU treatment centres, utilising 10 rounds of Delphi consultation to gain a majority (≥75%) decision. A mean of 29 UK dietitians (range: 18–40) and 18 treatment centres (range: 13–23) contributed in each round. Statements encompassed all foods/food groups divided into four categories based on defined protein/phenylalanine content: (1) foods high in protein/phenylalanine (best avoided); (2) foods allowed without restriction including fruit/vegetables containing phenylalanine ≤75 mg/100 g and most foods containing protein ≤0.5 g/100 g; (3) foods that should be calculated/weighed as an exchange food if they contain protein exchange ingredients (categorized into foods with a protein content of: >0.1 g/100 g (milk/plant milks only), >0.5 g/100 g (bread/pasta/cereal/flours), >1 g/100 g (cook-in/table-top sauces/dressings), >1.5 g/100 g (soya sauces)); and (4) fruit/vegetables containing phenylalanine >75 mg/100 g allocated as part of the protein/phenylalanine exchange system. These statements have been endorsed and translated into practical dietary management advice by the medical advisory dietitians for the National Society for PKU (NSPKU).

The Development of a Smart Health Awareness Message Framework Based on the Use of Social Media: Quantitative Study.

BackgroundSocial media has recently provided a remarkable means of delivering health information broadly and in a cost-effective way. Despite its benefits, some difficulties are encountered in attempting to influence the public to change their behavior in response to social media health messages.ObjectiveThis study aimed to explore the factors that affect individuals’ acceptance of using social media as a tool for receiving health awareness messages and adapting such content accordingly by developing a smart health awareness message framework.MethodsA quantitative method was adapted to validate the hypotheses and proposed framework through the development of a survey based on the technology acceptance model with the extension of other constructs. The survey was distributed on the web to 701 participants from different countries via Qualtrics software; it generated 391 completed questionnaires, and the response rate was 55.8% (391/701).ResultsOf the 391 respondents, 121 (30.9%) used social media platforms often during the week, and 27 participants (6.9%) did not use social media. In addition, 24.0% (94/391) of the respondents used these platforms to seek health information. On the basis of the results, perceived usefulness (β=.37; P<.001), gain-framed message (β=.04; P<.001), and loss-framed message (β=.08; P<.001) were seen to positively and significantly influence people’s intention to use social media as a means to spread information about health promotion. The proposed smart health awareness message framework identifies 64.2% of the variance in intention to use, 55.4% of the variance of perceived usefulness, and 26.2% of the variance of perceived ease of use.ConclusionsThis study sheds light on the factors that are associated with people’s intention to use and adopt social media in the health promotion domain. The findings reveal that the intention of using social media for health awareness purposes is positively impacted by the perception of usefulness of social media and the design of health messages. Future research might seek to explore other factors that relate to people’s behavior. This point of view will assist health organizations in developing their health messages more effectively and to be patient friendly.

Exploring the role of online health information and social media in the illness experience of arthritis-related fatigue: A focus group study.

Online health information (OHI) and social media have become prominent health resources for people with arthritis-related fatigue. More research is needed to understand how OHI and online social support may influence illness experiences and patient-practitioner relationships in people with arthritis-related fatigue. The present study aimed to explore how OHI and social media shape these experiences by using an inductive qualitative analysis. Seven focus groups were conducted with 21 participants aged 28-77 diagnosed with a range of rheumatic diseases. Within the focus groups, participants were asked questions about OHI, online social support and the role of OHI in their health care. The focus groups were recorded, transcribed and analysed using a combination of interpretative phenomenological analysis (IPA) and thematic analysis. The analysis resulted in three themes: (a) how online social support changes illness experiences, (b) communicating fatigue to health professionals using OHI and (c) health care experiences online. These themes provide insight into the ways people with arthritis-related fatigue benefit from online social support, use OHI to support communication with health professionals and how they share health care for arthritis in online spaces. This research expanded on previous literature addressing the role of OHI and social media in the illness experience of arthritis-related fatigue. As technology use is increasing, particularly in the current extraordinary environment of social distancing, it is critical to address the role of OHI and social media in health care. In this study, OHI and social media played a prevalent role in the health care of many participants.

The Oft Forgotten Part of Nutrition: Lessons from an Integrated Approach to Understand Consumer Food Safety Behaviors

Abstract Objectives A multi-year, integrated methods study showed comprehensive consumer food handling practices when preparing a meal, compared to prevalence of self-reported behaviors. Experimental conditions provided insights on the effectiveness of current and future food safety messages. Methods Demographically-diverse participants were recruited from various communities in one state. Year 1: Participants prepared raw turkey burgers in a simulated home kitchen. Half of participants viewed an educational video on thermometer use before meal preparation; the other half served as a control. Year 2: Participants who self-reported washing poultry prepared raw chicken products. Half of participants received mock social media messages about not washing poultry; the other half served as a control. Food handling behaviors were coded and compared to self-reported actions and attitudes towards food safety, collected via written surveys and in-depth interviews. Results At least one contributing factor to foodborne illness was examined during each observation; cross-contamination actions were always observed. Year 1: Over 60% (n = 383) of participants self-reported owning and using a food thermometer when cooking raw meat and poultry products; however, only 35% of unprompted participants measured final internal temperature with a food thermometer. Year 2: Nearly 25% (n = 300) of participants cross-contaminated a ready-to-eat side; over 50% cross-contaminated due to poor sink sanitation. Differences between self-reported and observed food safety behaviors were seen across participant groups. Lack of sufficient handwashing leading to bacterial cross-contamination was a notable secondary outcome. Conclusions Observations more accurately reflect consumer food handling behaviors and allow for targeted message development to decrease risk of foodborne illness through safe at-home food handling. Findings and messages are shared with health educators, news and social media outlets, and directly to consumers through various resources. Funding Sources This work was funded by the U.S. Department of Agriculture (USDA), Food Safety and Inspection Service (FSIS). All views expressed here are those of the authors and not necessarily of USDA FSIS. USDA is an equal opportunity provider, employer, and lender.

Perception About Doctors in Turkish Culture Through Music

Giriş: Sözlü müzik, insanların duygularını ve düşüncelerini yansıtan önemli araçlardan biridir. Müzik, ayrıca duyguları harekete geçirerek insanı ve toplumu etkileme gücüne de sahiptir. Bireylerin, doktora bakışı ve doktordan beklentileri de o kültüre ait olan müzik içerisinde kendini gösterir. Öte yandan, topluma veya halk kültürüne mal olmuş bir müzik eseri içerisinde yer alan ifadeler ise toplumun doktora bakışını etkileyebilir.Amaç: Bu çalışmada Türkiye’de toplumsal kültürün önemli bir parçası olan şarkı ve türküler içerisinde Doktor, Hekim ve Tabip sözcükleri bulunan müzik eserleri incelenerek, bu eserlere doğrudan veya dolaylı olarak yansıtılmış olan hasta-hekim ilişkisinin niteliğinin araştırılması amaçlanmıştır.Gereç ve Yöntem: Bu çalışma tanımlayıcı tipte bir araştırmadır. Doktor, Hekim ve Tabip kelimelerinin yer aldığı şarkı/türküler belirlenmiş ve kategorize edilmiştir.Bulgular: İncelenen 190 eserde Doktor, Hekim ve Tabip kelimelerinin yer aldığı ifadeler çare bulamayan/tedavi edemeyen ve çare bulması/tedavi etmesi beklenen şeklinde ana iki kategoriye ayrılmıştır. Bu iki grup dışında kalan yirmi iki eser ise diğer grup olarak değerlendirilmiştir.Sonuç: Müzik eserlerinin ve içerisinde yer alan sözlerin, zamanın süzgecinden damıtılarak yıllar içerisinde oluşan bir birikimle meydana gelen toplumsal kolektif bilinci yansıttığı dikkate alınacak olursa, türkülerde yer alan hekim algısının, sağlık politikaları ve sosyal medyanın saman alevi gibi hareketlilik gösteren gündeminden etkilenen anlık bir bakıştan ziyade, o halkın kültüründeki uzun süreli ve kalıcı hekim algısını daha gerçekçi bir şekilde yansıttığı düşünülebilir.

Dietary pattern recognition on Twitter: a case example of before, during, and after four natural disasters

Little is known about what foods/beverages (F&B) are common during natural disasters. The goal of this study was to track high-frequency F&B mentions during four hurricanes affecting the coast of South Carolina for quantifying dietary patterns in Twitter. A listing of common F&B (n = 173) was created from the top food sources of energy, fat, protein, and carbohydrate in the USA. A sampling of > 500,000 tweets containing hashtag names (e.g., #HurricaneFlorence) or actual names (e.g., “Hurricane Florence”) of the four hurricanes was collected using Crimson Hexagon. ANOVA was used to examine differences in number of mentions in each food group pre- (6 days before), during (48 h of the hurricane), and post-hurricane (6 days after). Descriptive statistics were used to examine the most frequently mentioned F&B (threshold defined as ≥ 4 mentions/day for each F&B item or 10% of the foods mentioned) and whether F&B were top sources of energy/macronutrients. More than 5000 mentions of F&B were collected in our sample. Grains were the most frequently mentioned food group pre-hurricane, and dairy was most frequently mentioned during the hurricanes. The top five most commonly mentioned F&B overall were milk (n = 517), pizza (n = 511), turkey (n = 425), oranges (n = 384), and waffles (n = 346). Foods mentioned were commonly energy and protein dense. Five foods (pizza, waffles, milk, rolls, and bread) were categorized as a top contributor across energy and all three macronutrients. Social media may be a unique way to detect dietary patterns and help inform public health social media campaigns to advise people about stocking up on healthy, non-perishable foods ahead of natural disasters.

Enabling Characteristic LSL (Laki-Laki Seks dengan Laki-Laki) HIV Positif dalam Pemanfaatan Layanan CST (Care Support and Treatment) di Kabupaten Jember

HIV-positive MSM are men who engage in same-sex sexual behavior and have been positively diagnosed with HIV. According to Public Health Offices data in Jember, there had been 3.186 cases of HIV and AIDS from 2004 to June 2017, in which homosexual risk factor contributed by 7.6%. The current study aimed at analyzing Enabling Characteristics of HIV-POSITIVE MSM which included the followings: a) Family/individual income, b) Insurance participation and fee, c) Knowledge of HIV-positive MSM community on VCT and CST, and d) Skills of health workers. The current qualitative study employed a case study research approach. There were eight (8) respondents who were determined by means of Purposive sampling technique for the study. In analyzing data, thematic content analysis method was employed. The results of the study revealed that the individual income of most main respondents were 3 (three) millions per month while a few main respondents didn’t have a permanent job so their monthly incomes were uncertain, b) Most of the main respondents didn't apply for any health insurance because they didn't have Family Registration (KK) / Identity Card (KTP) and they were worried about their HIV status being exposed by the Public Health Centers (Puskesmas), c) Main respondents had some knowledge and information on VCT (voluntary counseling &amp; test) and CST (care support &amp; treatment) services which sources vary from health workers, social media and public information signs. In addition, the respondents knew some types of ARV (antiretroviral) from health workers and the internet, d) the respondents also stated that the skills of the health workers were very good, whilst the language used by the health workers were polite, friendly, and they treated patients and officers equally.

A Case Study for a Big Data and Machine Learning Platform to Improve Medical Decision Support in Population Health Management

Big data and artificial intelligence are currently two of the most important and trending pieces for innovation and predictive analytics in healthcare, leading the digital healthcare transformation. Keralty organization is already working on developing an intelligent big data analytic platform based on machine learning and data integration principles. We discuss how this platform is the new pillar for the organization to improve population health management, value-based care, and new upcoming challenges in healthcare. The benefits of using this new data platform for community and population health include better healthcare outcomes, improvement of clinical operations, reducing costs of care, and generation of accurate medical information. Several machine learning algorithms implemented by the authors can use the large standardized datasets integrated into the platform to improve the effectiveness of public health interventions, improving diagnosis, and clinical decision support. The data integrated into the platform come from Electronic Health Records (EHR), Hospital Information Systems (HIS), Radiology Information Systems (RIS), and Laboratory Information Systems (LIS), as well as data generated by public health platforms, mobile data, social media, and clinical web portals. This massive volume of data is integrated using big data techniques for storage, retrieval, processing, and transformation. This paper presents the design of a digital health platform in a healthcare organization in Colombia to integrate operational, clinical, and business data repositories with advanced analytics to improve the decision-making process for population health management.

Mental health problems and social media exposure during COVID-19 outbreak.

Huge citizens expose to social media during a novel coronavirus disease (COVID-19) outbroke in Wuhan, China. We assess the prevalence of mental health problems and examine their association with social media exposure. A cross-sectional study among Chinese citizens aged≥18 years old was conducted during Jan 31 to Feb 2, 2020. Online survey was used to do rapid assessment. Total of 4872 participants from 31 provinces and autonomous regions were involved in the current study. Besides demographics and social media exposure (SME), depression was assessed by The Chinese version of WHO-Five Well-Being Index (WHO-5) and anxiety was assessed by Chinese version of generalized anxiety disorder scale (GAD-7). multivariable logistic regressions were used to identify associations between social media exposure with mental health problems after controlling for covariates. The prevalence of depression, anxiety and combination of depression and anxiety (CDA) was 48.3% (95%CI: 46.9%-49.7%), 22.6% (95%CI: 21.4%-23.8%) and 19.4% (95%CI: 18.3%-20.6%) during COVID-19 outbroke in Wuhan, China. More than 80% (95%CI:80.9%-83.1%) of participants reported frequently exposed to social media. After controlling for covariates, frequently SME was positively associated with high odds of anxiety (OR = 1.72, 95%CI: 1.31-2.26) and CDA (OR = 1.91, 95%CI: 1.52-2.41) compared with less SME. Our findings show there are high prevalence of mental health problems, which positively associated with frequently SME during the COVID-19 outbreak. These findings implicated the government need pay more attention to mental health problems, especially depression and anxiety among general population and combating with "infodemic" while combating during public health emergency.