The Birth of the Contextual Health Education Readability Score in an Examination of Online Influenza Patient Education Materials.

Introduction Influenza is a major global health concern, with its rapid spread and mutation rate posing significant challenges in public health education and communication. Effective patient education materials (PEMs) are crucial for informed decision-making and improved health outcomes. This study evaluates the efficacy of online influenza PEMs using traditional readability tools and introduces the Contextual Health Education Readability Score (CHERS) to address the limitations of existing methods that do not capture the diverse array of visual and thematic means displayed. Materials and methods A comprehensive search was conducted to select relevant online influenza PEMs. This involved looking through Google's first two pages of results sorted by relevance, for a total of 20 results. These materials were evaluated using established readability tools (e.g., Flesch Reading Ease, Flesch-Kincaid Grade Level) and the Patient Education Materials Assessment Tool (PEMAT) for understandability and actionability. The study also involved the creation of CHERS, integrating factors such as semantic complexity, cultural relevance, and visual aid effectiveness. The development of CHERS included weighting each component based on its impact on readability and comprehension. Results The traditional readability tools demonstrated significant variability in the readability of the selected materials. The PEMAT analysis revealed general trends toward clarity in purpose and use of everyday language but indicated a need for improvement in summaries and visual aids. The CHERS formula was calculated as follows: CHERS = (0.4 × Average Sentence Length) + (0.3 × Average Syllables per Word) + (0.15 × Semantic Complexity Score) + (0.1 × Cultural Relevance Score) + (0.05 × Visual Aid Effectiveness Score), integrating multiple dimensions beyond traditional readability metrics. Discussion The study highlighted the limitations of traditional readability tools in assessing the complexity and cultural relevance of health information. The introduction of CHERS addressed these gaps by incorporating additional dimensions crucial for understanding in a healthcare context. The recommendations provided for creating effective influenza PEMs focused on language simplicity, cultural sensitivity, and actionability. This may enable further research into evaluating current PEMs and clarifying means of creating more effective content in the future. Conclusions The study underscores the need for comprehensive readability assessments in PEMs. The creation of CHERS marks a significant advancement in this field, providing a more holistic approach to evaluating health literacy materials. Its application could lead to the development of more inclusive and effective educational content, thereby improving public health outcomes and reducing the global burden of influenza. Future research should focus on further validating CHERS and exploring its applicability to other health conditions.

Phototherapy for vitiligo: Quality and readability of online health information.

BACKGROUND/PURPOSE: Vitiligo is a depigmenting disorder that affects up to 2% of the population. Due to the relatively high prevalence of this disease and its psychological impact on patients, decisions concerning treatment can be difficult. As patients increasingly seek health information online, the caliber of online health information (OHI) becomes crucial in patients' decisions regarding their care. We aimed to assess the quality and readability of OHI regarding phototherapy in the management of vitiligo. METHODS: Similar to previously published studies assessing OHI, we used 5 medical search terms as a proxy for online searches made by patients. Results for each search term were assessed using an enhanced DISCERN analysis, Health On the Net code of conduct (HONcode) accreditation guidelines, and several readability indices. The DISCERN analysis is a validated questionnaire used to assess the quality of OHI, while HONcode accreditation is a marker of site reliability. RESULTS: Of the 500 websites evaluated, 174 were HONcode-accredited (35%). Mean DISCERN scores for all websites were 58.9% and 51.7% for website reliability and treatment sections, respectively. Additionally, 0/130 websites analyzed for readability scored at the NIH-recommended sixth-grade reading level. CONCLUSION: These analyses shed light on the shortcomings of OHI regarding phototherapy treatment for vitiligo, which could exacerbate disparities for patients who are already at higher risk of worse health outcomes.

Clear as Mud: Readability Scores in Cloacal Exstrophy Literature and Its Treatment.

Purpose: This study examines the readability of online medical information regarding cloacal exstrophy (CE). We hypothesize that inappropriate levels of comprehension are required in these resources, leading to poor understanding and confusion amongst caregivers. Methods: The Google and Bing search engines were used to search the terms "cloacal exstrophy" and "cloacal exstrophy treatment". The first 100 results for each were collected. Each webpage was analyzed for readability using four independent validated scoring systems: the Gunning-Fog index (GFI), SMOG grade (Simple Measure of Gobbledygook), Dale-Chall index (DCI), and the Flesch-Kincaid grade (FKG). Results: Forty-seven unique webpages fit the inclusion criteria. Mean readability scores across all websites were GFI, 14.6; SMOG score, 10.8; DCI, 9.3; and FKG, 11.8, correlating to adjusted grade levels of college sophomore, 11th grade, college, and 11th grade, respectively. There were significant differences across all readability formulas. Non-profit websites were significantly less readable than institutional and commercial webpages (GFI p = 0.012, SMOG p = 0.018, DCI p = 0.021, FKG p = 0.0093). Conclusion: Caregiver-directed health information regarding CE and its treatment available online is written at the 11th grade reading level or above. Online resources pertaining to CE must be simplified to be effective.

An Electronic Teen Questionnaire, the eTeenQ, for Risk Behavior Screening During Adolescent Well Visits in an Integrated Health System: Development and Pilot Implementation.

Background: Screening for risk behaviors is a routine and essential component of adolescent preventive health visits. Early identification of risks can inform targeted counseling and care. If stored in discrete fields in the electronic health record (EHR), adolescent screening data can also be used to understand risk behaviors across a clinic or health system or to support quality improvement projects. Objective: Goals of this pilot study were to adapt and implement an existing paper adolescent risk behavior screening tool for use as an electronic data capture tool (the eTeenQ), to evaluate acceptance of the eTeenQ, and to describe the prevalence of the selected risk behaviors reported through the eTeenQ. Methods: The multidisciplinary project team applied an iterative process to develop the 29-item eTeenQ. Two unique data entry forms were created with attention to (1) user interface and user experience, (2) the need to maintain patient privacy, and (3) the potential to transmit and store data for future use in clinical care and research. Three primary care clinics within a large health system piloted the eTeenQ from August 17, 2020, to August 27, 2021. During preventive health visits for adolescents aged 12 to 18 years, the eTeenQ was completed on tablets and responses were converted to a provider display for teens and providers to review together. Responses to the eTeenQ were stored in a REDCap (Research Electronic Data Capture; Vanderbilt University) database, and for patients who agreed, responses were transferred to an EHR flowsheet. Responses to selected eTeenQ questions are reported for those consenting to research. At the conclusion of the pilot, the study team conducted semistructured interviews with providers and staff regarding their experience using the eTeenQ. Results: Among 2816 adolescents with well visits, 2098 (74.5%) completed the eTeenQ. Of these, 1811 (86.3%) agreed to store responses in the EHR. Of 1632 adolescents (77.8% of those completing the eTeenQ) who consented for research and remained eligible, 1472 (90.2%) reported having an adult they can really talk to and 1510 (92.5%) reported feeling safe in their community, yet 401 (24.6%) reported someone they lived with had a gun and 172 (10.5%) reported having had a stressful or scary event that still bothered them. In addition, 157 (9.6%) adolescents reported they were or wondered if they were gay, lesbian, bisexual, pansexual, asexual, or other, and 43 (2.6%) reported they were or wondered if they were transgender or gender diverse. Of 11 staff and 7 providers completing interviews, all felt that the eTeenQ improved confidentiality and willingness among adolescents to answer sensitive questions. All 7 providers preferred the eTeenQ over the paper screening tool. Conclusions: Electronic capture of adolescent risk behaviors is feasible in a busy clinic setting and well accepted among staff and clinicians. Most adolescents agreed for their responses to risk behavior screening to be stored in the EHR.

The Role of Daily Steps in the Treatment of Major Depressive Disorder: Secondary Analysis of a Randomized Controlled Trial of a 6-Month Internet-Based, Mindfulness-Based Cognitive Behavioral Therapy Intervention for Youth.

BACKGROUND: Current evidence supports physical activity (PA) as an adjunctive treatment for major depressive disorder (MDD). Few studies, however, have examined the relationship between objectively measured PA and MDD treatment outcomes using prospective data. OBJECTIVE: This study is a secondary analysis of data from a 24-week internet-based, mindfulness-based cognitive behavioral therapy program for MDD. The purpose of this analysis was twofold: (1) to examine average daily step counts in relation to MDD symptom improvement, and whether pain moderated this relationship; and (2) to examine whether changes in step activity (ie, step trajectories) during treatment were associated with baseline symptoms and symptom improvement. METHODS: Patients from the Centre for Addiction and Mental Health were part of a randomized controlled trial evaluating the effects of internet-based, mindfulness-based cognitive behavioral therapy for young adults (aged 18-30 years old) with MDD. Data from 20 participants who had completed the intervention were analyzed. PA, in the form of objectively measured steps, was measured using the Fitbit-HR Charge 2 (Fitbit Inc), and self-reported depression severity was measured with the Beck Depression Inventory-II (BDI-II). Linear regression analysis was used to test PA's relationship with depression improvement and the moderating effect of pain severity and pain interference. Growth curve and multivariable regression models were used to test longitudinal associations. RESULTS: Participants walked an average of 8269 steps per day, and each additional +1000-step difference between participants was significantly associated with a 2.66-point greater improvement (reduction) in BDI-II, controlling for anxiety, pain interference, and adherence to Fitbit monitoring (P=.02). Pain severity appeared to moderate (reduce) the positive effect of average daily steps on BDI-II improvement (P=.03). Higher baseline depression and anxiety symptoms predicted less positive step trajectories throughout treatment (Ps≤.001), and more positive step trajectories early in the trial predicted greater MDD improvement at the end of the trial (Ps<.04). However, step trajectories across the full duration of the trial did not significantly predict MDD improvement (Ps=.40). CONCLUSIONS: This study used objective measurements to demonstrate positive associations between PA and depression improvement in the context of cognitive behavioral treatment. Pain appeared to moderate this relationship, and baseline symptoms of anxiety and depression predicted PA trajectories. The findings inform future interventions for major depression. Future research with larger samples should consider additional moderators of PA-related treatment success and the extent to which outcomes are related to PA change in multimodal interventions. TRIAL REGISTRATION: Clinical Trials.gov NCT03406052; https://www.clinicaltrials.gov/ct2/show/NCT03406052. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/11591.

Advertising Alternative Cancer Treatments and Approaches on Meta Social Media Platforms: Content Analysis.

BACKGROUND: Alternative cancer treatment is associated with a greater risk of death than cancer patients undergoing conventional treatments. Anecdotal evidence suggests cancer patients view paid advertisements promoting alternative cancer treatment on social media, but the extent and nature of this advertising remain unknown. This context suggests an urgent need to investigate alternative cancer treatment advertising on social media. OBJECTIVE: This study aimed to systematically analyze the advertising activities of prominent alternative cancer treatment practitioners on Meta platforms, including Facebook, Instagram, Messenger, and Audience Network. We specifically sought to determine (1) whether paid advertising for alternative cancer treatment occurs on Meta social media platforms, (2) the strategies and messages of alternative cancer providers to reach and appeal to prospective patients, and (3) how the efficacy of alternative treatments is portrayed. METHODS: Between December 6, 2021, and December 12, 2021, we collected active advertisements from alternative cancer clinics using the Meta Ad Library. The information collected included identification number, URL, active/inactive status, dates launched/ran, advertiser page name, and a screenshot (image) or recording (video) of the advertisement. We then conducted a content analysis to determine how alternative cancer providers communicate the claimed benefits of their services and evaluated how they portrayed alternative cancer treatment efficacy. RESULTS: We identified 310 paid advertisements from 11 alternative cancer clinics on Meta (Facebook, Instagram, or Messenger) marketing alternative treatment approaches, care, and interventions. Alternative cancer providers appealed to prospective patients through eight strategies: (1) advertiser representation as a legitimate medical provider (n=289, 93.2%); (2) appealing to persons with limited treatments options (n=203, 65.5%); (3) client testimonials (n=168, 54.2%); (4) promoting holistic approaches (n=121, 39%); (5) promoting messages of care (n=81, 26.1%); (6) rhetoric related to science and research (n=72, 23.2%); (7) rhetoric pertaining to the latest technology (n=63, 20.3%); and (8) focusing treatment on cancer origins and cause (n=43, 13.9%). Overall, 25.8% (n=80) of advertisements included a direct statement claiming provider treatment can cure cancer or prolong life. CONCLUSIONS: Our results provide evidence alternative cancer providers are using Meta advertising products to market scientifically unsupported cancer treatments. Advertisements regularly referenced "alternative" and "natural" treatment approaches to cancer. Imagery and text content that emulated evidence-based medical providers created the impression that the offered treatments were effective medical options for cancer. Advertisements exploited the hope of patients with terminal and poor prognoses by sharing testimonials of past patients who allegedly were cured or had their lives prolonged. We recommend that Meta introduce a mandatory, human-led authorization process that is not reliant upon artificial intelligence for medical-related advertisers before giving advertising permissions. Further research should focus on the conflict of interest between social media platforms advertising products and public health.

Disease- and Drug-Related Knowledge Extraction for Health Management from Online Health Communities Based on BERT-BiGRU-ATT.

Knowledge extraction from rich text in online health communities can supplement and improve the existing knowledge base, supporting evidence-based medicine and clinical decision making. The extracted time series health management data of users can help users with similar conditions when managing their health. By annotating four relationships, this study constructed a deep learning model, BERT-BiGRU-ATT, to extract disease-medication relationships. A Chinese-pretrained BERT model was used to generate word embeddings for the question-and-answer data from online health communities in China. In addition, the bidirectional gated recurrent unit, combined with an attention mechanism, was employed to capture sequence context features and then to classify text related to diseases and drugs using a softmax classifier and to obtain the time series data provided by users. By using various word embedding training experiments and comparisons with classical models, the superiority of our model in relation to extraction was verified. Based on the knowledge extraction, the evolution of a user's disease progression was analyzed according to the time series data provided by users to further analyze the evolution of the user's disease progression. BERT word embedding, GRU, and attention mechanisms in our research play major roles in knowledge extraction. The knowledge extraction results obtained are expected to supplement and improve the existing knowledge base, assist doctors' diagnosis, and help users with dynamic lifecycle health management, such as user disease treatment management. In future studies, a co-reference resolution can be introduced to further improve the effect of extracting the relationships among diseases, drugs, and drug effects.

Assessing the Accuracy, Quality, and Readability of Information Related to the Surgical Management of Benign Prostatic Hyperplasia.

Objectives: To assess the accuracy, quality, and readability of online educational health information in English related to the most common benign prostatic hyperplasia (BPH) guideline-approved surgical treatments. Methods: The terms "benign prostatic hyperplasia," "BPH," and all eight guideline-approved treatment modalities studied, were searched to retrieve the first five relevant websites and first two paid advertised websites related to the surgical treatment options for BPH. These modalities included transurethral resection of the prostate (TURP), GreenLight photovaporization, endoscopic enucleation of the prostate, Rezum, Urolift, Aquablation, open simple prostatectomy, and robotic simple prostatectomy (RSP). All relevant websites were assessed for their accuracy, quality, and readability using standardized scoring systems. Results: The mean accuracy score for each of the treatment modalities were all indicative of good accuracy, with 76%-99% of the information presented as being accurate. The median quality score was statistically different across the eight treatment modalities (p = 0.015). The median readability grade level was statistically different across the eight treatment modalities (p = 0.009). Websites that described TURP (median readability grade level, 9.00 [interquartile range (IQR) 8.00-10.80]) were significantly easier to read than those related to RSP (median readability grade level, 14.35 [IQR, 11.08-16.50]) (p = 0.011). No other statistically significant differences were found within the other treatment modality websites. Conclusions: The majority of websites retrieved were found to be of high accuracy, good quality, and poor readability. Additionally, it was found that none of the retrieved websites included descriptions for all the other included treatment modalities. Given these findings, the authors recommend the development of centralized resources with all guideline-approved treatment modalities and accurate, readable, and high-quality information related to the surgical treatment of BPH.

Frequency of Online Health Information Seeking and Types of Information Sought Among the General Chinese Population: Cross-sectional Study.

BACKGROUND: The internet is one of the most popular health information resources, and the Chinese constitute one-fifth of the online users worldwide. As internet penetration continues to rise, more details on the Chinese population seeking online health information need to be known based on the current literature. OBJECTIVE: This study aims to explore the sociodemographic differences in online health information seeking (OHIS), including the frequency of OHIS and the types of online health information sought among the general Chinese population in mainland China. METHODS: A cross-sectional study for assessing the residents' health care needs with self-administered questionnaires was implemented in 4 counties and districts in China from July 2018 to August 2018. Pearson's chi-square test was used to identify the sociodemographic differences between infrequent and frequent online health information seekers. We also performed binary logistic regression for the 4 types of online health information as the dependent variables and the sociodemographic factors as the independent variables. RESULTS: Compared with infrequent online health information seekers, frequent seekers were more likely to be female (infrequent: 1654/3318; 49.85%; frequent: 1015/1831, 55.43%), older (over 60 years old; infrequent: 454/3318, 13.68%; frequent: 282/1831, 15.40%), married (infrequent: 2649/3318, 79.84%; frequent: 1537/1831, 83.94%), and better educated (bachelor's or above; infrequent: 834/3318, 25.14%; frequent: 566/1831, 30.91%). They were also more likely to earn a higher income (over RMB ¥50k [RMB ¥1=US $0.15641]; infrequent: 1139/3318, 34.33%; frequent: 710/1831, 34.78%), have commercial health insurance (infrequent: 628/3318, 18.93%; frequent: 470/1831, 25.67%), and have reported illness in the past 12 months (infrequent: 659/3318, 19.86%; frequent: 415/1831, 22.67%). Among the 4 health information types, health science popularization was the most searched for information by Chinese online health information seekers (3654/5149, 70.79%), followed by healthy behaviors (3567/5149, 69.28%), traditional Chinese medicine (1931/5149, 37.50%), and medical concerns (1703/5149, 33.07%). The binary logistic regression models showed that males were less likely to seek information on healthy behaviors (adjusted odds ratio [AOR] 0.69, 95% CI 0.61-0.78) and traditional Chinese medicine (AOR 0.64, 95% CI 0.57-0.73), and respondents who had at least 1 chronic disease were more likely to seek information on medical concerns (AOR 1.27, 95% CI 1.07-1.51) and traditional Chinese medicine (AOR 1.26, 95% CI 1.06-1.49). CONCLUSIONS: Sociodemographic factors were associated with the frequency of OHIS and types of information sought among the general Chinese population. The results remind providers of online health information to consider the needs of specific population groups when tailoring and presenting health information to the target population.

Online health information-seeking behaviors and skills of Chinese college students.

BACKGROUND: Seeking online health information (OHI) has become a common practice globally. The information seekers could face health risks if they are not proficient in OHI literacy. The OHI-seeking behaviors and skills of Chinese college students, the largest proportion of college students in the world, are understudied. This study was aimed to describe OHI-seeking behaviors and skills of college students in Guangdong, China. METHODS: College students in the Guangdong province with OHI-seeking experience were invited via WeChat, QQ, and Sina Weibo using QR code posters and flyers for participation in this online anonymized questionnaire-based study. Data on demographics, OHI literacy, information resources, search approaches, and behaviors were collected. The relationship between perceived OHI literacy and high-risk behaviors was investigated by bivariate logistic regression analysis. RESULTS: Respondents were 1203 college students with a mean age of 20.6 years, females (60.2%), and undergraduates (97.2%). They sought health information via websites (20.3%), WeChat (2.6%), or both (77.1%). Baidu was the main search engine, and baike.baidu.com (80.3%), Zhihu.com (48.4%), and Zhidao.baidu.com (35.8%) were top three among 20 searched websites for information about self-care (80.7%), general health (79.5%), disease prevention (77.7%), self-medication (61.2%), family treatment (40.9%), drugs (37.7%), western medications (26.6%), hospitals (22.7%), physicians (21.4%), and Traditional Chinese Medicine (15.6%). Despite most respondents (78%) lacked confidence in the evidence quality and satisfaction with the results, only 32.4% further consulted doctors. Many (> 50%) would recommend the retrieved information to others. About 20% experienced hacking/Internet fraud. Cronbach's alpha for the internal consistency of OHI literacy was 0.786. Bivariate logistic regression analysis showed that students who believed they can judge the evidence level of OHI were more likely to self-diagnose (OR = 2.2, 95%CI, 1.6-3.1) and look for drug usage (OR = 3.1, 95%CI, 1.9-5.0). CONCLUSIONS: This study reveals Chinese college students' heavy reliance on OHI to manage their own and others' health without sufficient knowledge/skills to identify misinformation and disinformation. The apparent risky information-seeking behaviors of Chinese college students warrant the provision of regulated, accurate, and actionable health information; assurance of cybersecurity; and health information literacy promotion in colleges by concerned authorities.

Self-medication with Chinese Medicine Online.

The internet provides the means for people to play an expanded role in managing their own health. I describe an online group of 325 students seeking to address various health issues through a collaborative "online clinic." I have coined the term DIO (Do-It-Ourselves) to emphasize the underlying collaboration in this self-care trend. As a living tradition, Chinese medicine is transforming as lay people participate in this process, and their collaborative study in a digital classroom suggests a new style of knowing.

ALOHA: developing an interactive graph-based visualization for dietary supplement knowledge graph through user-centered design.

BACKGROUND: Dietary supplements (DSs) are widely used. However, consumers know little about the safety and efficacy of DSs. There is a growing interest in accessing health information online; however, health information, especially online information on DSs, is scattered with varying levels of quality. In our previous work, we prototyped a web application, ALOHA, with interactive graph-based visualization to facilitate consumers' browsing of the integrated DIetary Supplement Knowledge base (iDISK) curated from scientific resources, following an iterative user-centered design (UCD) process. METHODS: Following UCD principles, we carried out two design iterations to enrich the functionalities of ALOHA and enhance its usability. For each iteration, we conducted a usability assessment and design session with a focus group of 8-10 participants and evaluated the usability with a modified System Usability Scale (SUS). Through thematic analysis, we summarized the identified usability issues and conducted a heuristic evaluation to map them to the Gerhardt-Powals' cognitive engineering principles. We derived suggested improvements from each of the usability assessment session and enhanced ALOHA accordingly in the next design iteration. RESULTS: The SUS score in the second design iteration decreased to 52.2 ± 11.0 from 63.75 ± 7.2 in our original work, possibly due to the high number of new functionalities we introduced. By refining existing functionalities to make the user interface simpler, the SUS score increased to 64.4 ± 7.2 in the third design iteration. All participants agreed that such an application is urgently needed to address the gaps in how DS information is currently organized and consumed online. Moreover, most participants thought that the graph-based visualization in ALOHA is a creative and visually appealing format to obtain health information. CONCLUSIONS: In this study, we improved a novel interactive visualization platform, ALOHA, for the general public to obtain DS-related information through two UCD design iterations. The lessons learned from the two design iterations could serve as a guide to further enhance ALOHA and the development of other knowledge graph-based applications. Our study also showed that graph-based interactive visualization is a novel and acceptable approach to end-users who are interested in seeking online health information of various domains.

The efficacy of a telemedicine-based weight loss program with video conference health coaching support.

INTRODUCTION: Clinically significant weight loss is defined as a ≥5% of initial body weight loss within a 6-month period. The purpose of this study was to assess body weight change from a 12-week telehealth-based weight loss program that integrated health coaching via video conferencing. METHODS: A total of 25 obese participants (12 males, 13 females) were recruited for this fully online 12-week weight loss program. Participants were randomly assigned to either an intervention group or control group ( n = 13 intervention, body mass index (BMI) = 34.7 ± 4.5 kg/m2; n = 12 control, BMI = 34.4 ± 4.43 kg/m2). All participants were given access to a secure platform for data tracking and video conferencing with the research team. The intervention group met with the medical doctor once per month and with a registered dietitian, weekly. Control participants met with the research team at baseline and at 12 weeks. Independent samples t-tests and Chi-square tests were used via SPSS version 24 with significance set to p < 0.05. RESULTS: There was a significant difference between the intervention and control groups for body weight loss (7.3 ± 5.2 versus 1.2 ± 3.9 kg, respectively, p < 0.05) as well as for percent body weight loss (7.16 ± 4.4 versus 1.5 ± 4.1%, respectively, p < 0.05). Clinically significant weight loss was achieved in 9 out of 13 (69.2%) in the intervention group versus 1 out of 12 (8%) in the control group. DISCUSSION: Mobile phone-based health coaching may promote weight loss. Weekly video conferencing with education may be an applicable tool for inducing significant body weight loss in obese individuals.

"We make choices we think are going to save us": Debate and stance identification for online breast cancer CAM discussions.

Patients discuss complementary and alternative medicine (CAM) in online health communities. Sometimes, patients' conflicting opinions toward CAM-related issues trigger debates in the community. The objectives of this paper are to identify such debates, identify controversial CAM therapies in a popular online breast cancer community, as well as patients' stances towards them. To scale our analysis, we trained a set of classifiers. We first constructed a supervised classifier based on a long short-term memory neural network (LSTM) stacked over a convolutional neural network (CNN) to detect automatically CAM-related debates from a popular breast cancer forum. Members' stances in these debates were also identified by a CNN-based classifier. Finally, posts automatically flagged as debates by the classifier were analyzed to explore which specific CAM therapies trigger debates more often than others. Our methods are able to detect CAM debates with F score of 77%, and identify stances with F score of 70%. The debate classifier identified about 1/6 of all CAM-related posts as debate. About 60% of CAM-related debate posts represent the supportive stance toward CAM usage. Qualitative analysis shows that some specific therapies, such as Gerson therapy and usage of laetrile, trigger debates frequently among members of the breast cancer community. This study demonstrates that neural networks can effectively locate debates on usage and effectiveness of controversial CAM therapies, and can help make sense of patients' opinions on such issues under dispute. As to CAM for breast cancer, perceptions of their effectiveness vary among patients. Many of the specific therapies trigger debates frequently and are worth more exploration in future work.

Online maternity information seeking among lesbian, bisexual, and queer women.

OBJECTIVE: recent research has concluded that barriers to maternity health care exist for lesbian, bisexual, and queer women. This mixed methods study aims to understand patterns in seeking and sharing online health information for LBQ women attempting conception. DESIGN: researchers performed a qualitative content analysis of 400 discussions in lesbian-oriented Facebook groups, containing 1764 total instances of text. 400 discussions from heterosexual-oriented conception and parenting Facebook groups were examined for comparison purposes, though they will not be the focus of this analysis. This paper also presents descriptive statistics on posts observed. SETTING: posts were drawn from a representative sample of lesbian-oriented conception, pregnancy, and parenting Facebook groups. Posts examined for comparison purposes were drawn from groups that appeared to primarily serve heterosexual women. MEASUREMENTS AND FINDINGS: many participants in lesbian-oriented Facebook groups sought and provided medical information. Their queries focused on the insemination process, and frequently related to posters' specific situations, while heterosexual women tended to seek general advice about the conception and pregnancy process. The accuracy of the content of responses varied, and group members seemed to view the prevalence of contradictory information as positive evidence of diverse perspectives. Even when information was technically correct, posters did not always apply it properly to the question at hand. KEY CONCLUSIONS: barriers to maternity care, or a lack of education and initiative among primary care providers, may drive lesbian, bisexual, and queer women to seek health information from peers on the Internet when trying to become pregnant. These exchanges may contribute to misinformation, which may negatively affect lesbian, bisexual, and queer women's fertility outcomes and overall health. IMPLICATIONS FOR PRACTICE: clinicians should be conscious of online health information seeking as both a symptom of and cause of sexuality-based disparities.

An Internet-based health gateway device for interactive communication and automatic data uploading: Clinical efficacy for type 2 diabetes in a multi-centre trial.

Introduction The aim of this study was to improve the quality of diabetes control and evaluate the efficacy of an Internet-based integrated healthcare system for diabetes management and safety. Methods We conducted a large-scale, multi-centre, randomized clinical trial involving 484 patients. Patients in the intervention group ( n = 244) were treated with the Internet-based system for six months, while the control group ( n = 240) received the usual outpatient management over the same period. HbA1c, blood chemistries, anthropometric parameters, and adverse events were assessed at the beginning of the study, after three months, and the end of the study. Results There were no initial significant differences between the groups with respect to demographics and clinical parameters. Upon six-month follow-up, HbA1c levels were significantly decreased from 7.86 ± 0.69% to 7.55 ± 0.86% within the intervention group ( p < 0.001) compared to 7.81 ± 0.66% to 7.70 ± 0.88% within the control group. Postprandial glucose reduction was predominant. A subgroup with baseline HbA1c higher than 8% and good compliance achieved a reduction of HbA1c by 0.8 ± 1.05%. Glucose control and waist circumference reduction were more effective in females and subjects older than 40 years of age. There were no adverse events associated with the intervention. Discussion This e-healthcare system was effective for glucose control and body composition improvement without associated adverse events in a multi-centre trial. This system may be effective in improving diabetes control in the general population.

Induced lexico-syntactic patterns improve information extraction from online medical forums.

OBJECTIVE: To reliably extract two entity types, symptoms and conditions (SCs), and drugs and treatments (DTs), from patient-authored text (PAT) by learning lexico-syntactic patterns from data annotated with seed dictionaries. BACKGROUND AND SIGNIFICANCE: Despite the increasing quantity of PAT (eg, online discussion threads), tools for identifying medical entities in PAT are limited. When applied to PAT, existing tools either fail to identify specific entity types or perform poorly. Identification of SC and DT terms in PAT would enable exploration of efficacy and side effects for not only pharmaceutical drugs, but also for home remedies and components of daily care. MATERIALS AND METHODS: We use SC and DT term dictionaries compiled from online sources to label several discussion forums from MedHelp (http://www.medhelp.org). We then iteratively induce lexico-syntactic patterns corresponding strongly to each entity type to extract new SC and DT terms. RESULTS: Our system is able to extract symptom descriptions and treatments absent from our original dictionaries, such as 'LADA', 'stabbing pain', and 'cinnamon pills'. Our system extracts DT terms with 58-70% F1 score and SC terms with 66-76% F1 score on two forums from MedHelp. We show improvements over MetaMap, OBA, a conditional random field-based classifier, and a previous pattern learning approach. CONCLUSIONS: Our entity extractor based on lexico-syntactic patterns is a successful and preferable technique for identifying specific entity types in PAT. To the best of our knowledge, this is the first paper to extract SC and DT entities from PAT. We exhibit learning of informal terms often used in PAT but missing from typical dictionaries.