Online Health Communities: an alternative feasible data registry tool for developing countries.

Given the many challenges facing healthcare access in many developing countries and the added limitations observed in emergencies like COVID-19 pandemic, the authors here discuss an alternative and feasible approach to overcome all these limitations.

Planning and Reporting Effective Web-Based RAND/UCLA Appropriateness Method Panels: Literature Review and Preliminary Recommendations.

BACKGROUND: The RAND/UCLA Appropriateness Method (RAM), a variant of the Delphi Method, was developed to synthesize existing evidence and elicit the clinical judgement of medical experts on the appropriate treatment of specific clinical presentations. Technological advances now allow researchers to conduct expert panels on the internet, offering a cost-effective and convenient alternative to the traditional RAM. For example, the Department of Veterans Affairs recently used a web-based RAM to validate clinical recommendations for de-intensifying routine primary care services. A substantial literature describes and tests various aspects of the traditional RAM in health research; yet we know comparatively less about how researchers implement web-based expert panels. OBJECTIVE: The objectives of this study are twofold: (1) to understand how the web-based RAM process is currently used and reported in health research and (2) to provide preliminary reporting guidance for researchers to improve the transparency and reproducibility of reporting practices. METHODS: The PubMed database was searched to identify studies published between 2009 and 2019 that used a web-based RAM to measure the appropriateness of medical care. Methodological data from each article were abstracted. The following categories were assessed: composition and characteristics of the web-based expert panels, characteristics of panel procedures, results, and panel satisfaction and engagement. RESULTS: Of the 12 studies meeting the eligibility criteria and reviewed, only 42% (5/12) implemented the full RAM process with the remaining studies opting for a partial approach. Among those studies reporting, the median number of participants at first rating was 42. While 92% (11/12) of studies involved clinicians, 50% (6/12) involved multiple stakeholder types. Our review revealed that the studies failed to report on critical aspects of the RAM process. For example, no studies reported response rates with the denominator of previous rounds, 42% (5/12) did not provide panelists with feedback between rating periods, 50% (6/12) either did not have or did not report on the panel discussion period, and 25% (3/12) did not report on quality measures to assess aspects of the panel process (eg, satisfaction with the process). CONCLUSIONS: Conducting web-based RAM panels will continue to be an appealing option for researchers seeking a safe, efficient, and democratic process of expert agreement. Our literature review uncovered inconsistent reporting frameworks and insufficient detail to evaluate study outcomes. We provide preliminary recommendations for reporting that are both timely and important for producing replicable, high-quality findings. The need for reporting standards is especially critical given that more people may prefer to participate in web-based rather than in-person panels due to the ongoing COVID-19 pandemic.

Metodologia LIS (Localizador de Informação em Saúde ou Recursos de internet)

LIS (Localizador de Informação em Saúde ou Recursos de internet)

A secure remote user authentication scheme for 6LoWPAN-based Internet of Things.

One of the significant challenges in the Internet of Things (IoT) is the provisioning of guaranteed security and privacy, considering the fact that IoT devices are resource-limited. Oftentimes, in IoT applications, remote users need to obtain real-time data, with guaranteed security and privacy, from resource-limited network nodes through the public Internet. For this purpose, the users need to establish a secure link with the network nodes. Though the IPv6 over low-power wireless personal area networks (6LoWPAN) adaptation layer standard offers IPv6 compatibility for resource-limited wireless networks, the fundamental 6LoWPAN structure ignores security and privacy characteristics. Thus, there is a pressing need to design a resource-efficient authenticated key exchange (AKE) scheme for ensuring secure communication in 6LoWPAN-based resource-limited networks. This paper proposes a resource-efficient secure remote user authentication scheme for 6LoWPAN-based IoT networks, called SRUA-IoT. SRUA-IoT achieves the authentication of remote users and enables the users and network entities to establish private session keys between themselves for indecipherable communication. To this end, SRUA-IoT uses a secure hash algorithm, exclusive-OR operation, and symmetric encryption primitive. We prove through informal security analysis that SRUA-IoT is secured against a variety of malicious attacks. We also prove the security strength of SRUA-IoT through formal security analysis conducted by employing the random oracle model. Additionally, we prove through Scyther-based validation that SRUA-IoT is resilient against various attacks. Likewise, we demonstrate that SRUA-IoT reduces the computational cost of the nodes and communication overheads of the network.

Can "Googling" correct misbelief? Cognitive and affective consequences of online search.

With increasing concern over online misinformation in perspective, this study experimentally examined the cognitive as well as the affective consequences of online search. Results of the two experiments using widely shared, prejudiced misinformation about an ethnic minority in Japan indicated that (a) online search reduces on average the likelihood of believing the misinformation, (b) the magnitude of the effect is larger among those who are predisposed to believe the misinformation, (c) cognitive correction is observed whether searchers are motivated to achieve a directional goal or an accuracy goal, and (d) online search deteriorates affective feeling toward the target groups of the misinformation. Theoretical implications are discussed in relation to the robustness of confirmation bias in online search and the "belief echo" in which exposure to negative misinformation continues to shape attitudes even after the misinformation has been effectively discredited.

Online information discrepancies regarding safety of medicine use during pregnancy and lactation: an IMI ConcePTION study.

Background: Inconsistencies in information on safety of medicine use during pregnancy and lactation can result in sub-optimal treatment for pregnant and lactating women, risks to the fetus or child and unnecessary weaning off breastfeeding. The objective of this study was to analyze information discrepancies regarding medicine use during pregnancy and lactation between on-line sources for patients and health care professionals (HCPs) in four European languages.Research design and methods: The medicines analyzed were ibuprofen, ondansetron, olanzapine, fingolimod, methylphenidate and adalimumab. Recommendations were classified into different data source categories, for patients and for HCPs, and compared between the data source categories for each medicine and language.Results: For patients, 11/24 (46%) and 4/24 (17%) comparisons of the pregnancy and lactation recommendations, respectively, were consistent between all sources. The corresponding figures for HCP-sources were 13/24 (54%) and 5/24 (21%). Regulatory sources had generally more restrictive recommendations. Teratology Information Services (TIS) centers' recommendations for medicine use during pregnancy and lactation were consistent in 25/27 (93%) and 15/22 (68%) of cases respectively.Conclusion: Discrepancies between online information sources regarding medicine use during pregnancy and lactation are common, especially for lactation. TIS centers recommendations were more aligned. Additional work is needed to harmonize information within and between countries to avoid conflicting messages.

Online Information About the Effectiveness of Shoulder Surgery Is Not Based on the Best Available Evidence: A Content Analysis.

OBJECTIVE: To summarize the proportion of consumer webpages on subacromial decompression and rotator cuff repair surgery that make an accurate portrayal of the evidence for these operations (primary outcome), mention the benefits and harms of surgery, outline alternatives to surgery, and make various surgical recommendations. DESIGN: Content analysis. SETTING: Online consumer information about subacromial decompression and rotator cuff repair surgery. Webpages were identified through (1) Google searches using terms synonymous with "shoulder pain" and "shoulder surgery" and searching "orthopedic surgeon" linked to each Australian capital city and (2) websites of relevant professional associations (eg, Australian Orthopaedic Association). Two reviewers independently identified webpages and extracted data. PARTICIPANTS: Not applicable. INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Whether the webpage made an accurate portrayal of the evidence for subacromial decompression or rotator cuff repair surgery (primary outcome), mentioned benefits and harms of surgery, outlined alternatives to surgery, and made various surgical recommendations (eg, delay surgery). Outcome data were summarized using counts and percentages. RESULTS: A total of 155 webpages were analyzed (n=89 on subacromial decompression, n=90 on rotator cuff repair, n=24 on both). Only 18% (n=16) and 4% (n=4) of webpages made an accurate portrayal of the evidence for subacromial decompression and rotator cuff repair surgery, respectively. For subacromial decompression and rotator cuff repair, respectively, 85% (n=76) and 80% (n=72) of webpages mentioned benefits, 38% (n=34) and 47% (n=42) mentioned harms, 94% (n=84) and 92% (n=83) provided alternatives to surgery, and 63% (n=56) and 62% (n=56) recommended delayed surgery (the most common recommendation). CONCLUSIONS: Most online information about subacromial decompression and rotator cuff repair surgery does not accurately portray the best available evidence for surgery and may be inadequate to inform patient decision making.

Will Podcasting and Social Media Replace Journals and Traditional Science Communication? No, but...

The digital world in which we live is changing rapidly. The evolving media environment is having a direct impact on traditional forms of communication and knowledge translation in public health and epidemiology. Openly accessible digital media can be used to reach a broader and more diverse audience of trainees, scientists, and the lay public than can traditional forms of scientific communication. The new digital landscape for delivering content is vast, and new platforms are continuously being added. In this article, we focus on several, including Twitter and podcasting, and discuss their relevance to epidemiology and science communication. We highlight 3 key reasons why we think epidemiologists should be engaging with these mediums: 1) science communication, 2) career advancement, and 3) development of a community and public service. Other positive and negative consequences of engaging in these forms of new media are also discussed. The authors of this commentary are all engaged in social media and podcasting for scientific communication, and we reflect on our experiences with these mediums as tools to advance the field of epidemiology.

"Add-Ons" for Assisted Reproductive Technology: Do Patients Get Honest Information from Fertility Clinics' Websites?

"Add-on" procedures are actively promoted on some fertility clinic websites as proven means to improve IVF success rates, especially for couples with repeated implantation/IVF failures. However, the actual contribution of these interventions to live birth rates remains inconclusive. At present, little is known about the type and quality of the information provided on the IVF clinics' websites regarding the merits of "add-ons." A systematic evaluation of the quality of information on "add-on" procedures in fertility clinic websites was performed using 10-criteria structured questionnaire. We included English language websites that presented in the Google.com search engine after typing the following key-words:"endometrial scratching"(ES), "intralipid infusions"(ILI), "assisted hatching"(AHA), "PGT-A," or "PGS". In total, 254 websites were evaluated. In most cases, an accurate description of the "add-on" procedures was provided (78.8%). However, only a minority (12%) reported their undetermined effectiveness. The use of PGT-A was more often encouraged (52.8%) than ES (23.6%) and AHA (16%). The cost was infrequently presented (6.9%). Scientific references were only rarely provided for ILI, versus 12.7% for ES, 4.0% for AHA, and 5.6% for PGT-A. The information entry date was often missing. None of the websites reported the clinic's pregnancy-rate following the "add-on" procedures. Information on "add-ons" available to patients from IVF clinic websites is often inaccurate. This could perpetuate false myths among infertile patients about these procedures and raises concern regarding possible commercial bias. It is imperative that IVF clinic websites will better communicate the associated risks and uncertainties of "add-ons" to prospective patients.

SIGNAL: A web-based iterative analysis platform integrating pathway and network approaches optimizes hit selection from genome-scale assays.

Hit selection from high-throughput assays remains a critical bottleneck in realizing the potential of omic-scale studies in biology. Widely used methods such as setting of cutoffs, prioritizing pathway enrichments, or incorporating predicted network interactions offer divergent solutions yet are associated with critical analytical trade-offs. The specific limitations of these individual approaches and the lack of a systematic way by which to integrate their rankings have contributed to limited overlap in the reported results from comparable genome-wide studies and costly inefficiencies in secondary validation efforts. Using comparative analysis of parallel independent studies as a benchmark, we characterize the specific complementary contributions of each approach and demonstrate an optimal framework to integrate these methods. We describe selection by iterative pathway group and network analysis looping (SIGNAL), an integrated, iterative approach that uses both pathway and network methods to optimize gene prioritization. SIGNAL is accessible as a rapid user-friendly web-based application (https://signal.niaid.nih.gov). A record of this paper's transparent peer review is included in the Supplemental information.

Evaluation of Online Information on Complementary and Alternative Treatments for Dry Eye Disease.

SIGNIFICANCE: Dry eye disease is a common condition with many complementary and alternative therapies promoted online. Patients may inquire about these therapies, and clinicians should be aware of the existence, safety, and efficacy of these therapies, as well as the quality of available online information. PURPOSE: Complementary and alternative medicine is a multibillion-dollar industry with increasing popularity. Dry eye disease is a chronic condition with many complementary and alternative therapies described online. Patients may inquire about and elect to forgo conventional treatments in favor of these therapies. This study identified alternative treatments for dry eye disease described online and evaluated the Web sites that described them. METHODS: An Internet search algorithm identified Web sites describing complementary and alternative therapies for dry eye disease. Web site quality was assessed using the Sandvik score to evaluate Web site ownership, authorship, source, currency, interactivity, navigability, and balance. The potential risk of Web sites to patients was assessed using a risk scoring system. A list of described therapies was compiled. RESULTS: Eight Web sites describing complementary and alternative therapies for dry eye disease were assessed. The Sandvik score classified more than half of the Web sites as "satisfactory" and none as "poor." The overall mean risk score was low at 0.9. One Web site displayed information that discouraged the use of conventional medicine, whereas no Web sites discouraged adhering to clinicians' advice. The Web sites listed 12 therapies with a further 32 found in Web site comments. The most common therapies were acupuncture, vitamin supplements, homeopathic eye drops, castor oil, coconut oil, and chamomile eye wash. CONCLUSIONS: The majority of analyzed Web sites were of satisfactory quality with a low potential risk to patients. However, some Web sites were biased toward their own therapies, lacked proper referencing, and/or did not identify authorship. Further research is required to ascertain the efficacy and safety of these therapies.

Shifting attention to accuracy can reduce misinformation online.

In recent years, there has been a great deal of concern about the proliferation of false and misleading news on social media1-4. Academics and practitioners alike have asked why people share such misinformation, and sought solutions to reduce the sharing of misinformation5-7. Here, we attempt to address both of these questions. First, we find that the veracity of headlines has little effect on sharing intentions, despite having a large effect on judgments of accuracy. This dissociation suggests that sharing does not necessarily indicate belief. Nonetheless, most participants say it is important to share only accurate news. To shed light on this apparent contradiction, we carried out four survey experiments and a field experiment on Twitter; the results show that subtly shifting attention to accuracy increases the quality of news that people subsequently share. Together with additional computational analyses, these findings indicate that people often share misinformation because their attention is focused on factors other than accuracy-and therefore they fail to implement a strongly held preference for accurate sharing. Our results challenge the popular claim that people value partisanship over accuracy8,9, and provide evidence for scalable attention-based interventions that social media platforms could easily implement to counter misinformation online.

Development and Feasibility of a Web-Based Decision Aid for Patients With Ulcerative Colitis: Qualitative Pilot Study.

BACKGROUND: Shared decision making (SDM) is becoming an important part of ulcerative colitis (UC) management because of the increasing complexity of available treatment choices and their trade-offs. The use of decision aids (DA) may be effective in increasing patients' participation in UC management but their uptake has been limited due to high attrition rates and lack of a participatory approach to their design and implementation. OBJECTIVE: The primary aim of this study is to explore the perspectives of Australian patients and their clinicians regarding the feasibility and acceptability of myAID, a web-based DA, in informing treatment decisions in UC. The secondary aim is to use the findings of this pilot study to inform the design of a cluster randomized clinical trial (CRCT) to assess the efficacy of the DA compared with usual care. METHODS: myAID, a DA was designed and developed using a participatory approach by a multidisciplinary team of clinicians, patients, and nonmedical volunteers. A qualitative pilot study to evaluate the DA, involving patients with UC facing new treatment decisions and inflammatory bowel disease clinicians, was undertaken. RESULTS: A total of 11 patients with UC and 15 clinicians provided feedback on myAID. Themes explored included the following: Acceptability and usability of myAID-myAID was found to be acceptable by the majority of clinicians as a tool to facilitate SDM, uptake was thought to vary depending on clinicians' approaches to patient education and practice, potential to overcome time restrictions associated with outpatient clinics was identified, presentation of unbiased information enabling patients to digest information at their own pace was noted, and potential to provoke anxiety among patients with a new diagnosis or mild disease was raised; Perceived role and usefulness of myAID-discordance was observed between patients who prioritized voicing preferences and clinicians who prioritized treatment adherence, and myAID facilitated early discussion of medical versus surgical treatment options; Target population and timing of use-greatest benefit was perceived at the time of initiating or changing treatment and following commencement of immunosuppressive therapy; and Potential concerns and areas for improvement-some perceived that use of myAID may precipitate anxiety by increasing decisional conflict and impact the therapeutic relationship between patient and the clinician and may increase resource requirements. CONCLUSIONS: These preliminary findings suggest that patients and clinicians consider myAID as a feasible and acceptable tool to facilitate SDM for UC management. These pilot data have informed a participatory approach to the design of a CRCT, which will evaluate the clinical efficacy of myAID compared with usual care. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry ACTRN12617001246370; http://anzctr.org.au/Trial/Registration/TrialReview.aspx?ACTRN=12617001246370.

Quality of Patient Information on Lipofilling in the Internet.

BACKGROUND: Patients interested in aesthetic surgery actively search the Internet, a source that contains important but biased information. OBJECTIVE: The aim of this study was to assess the quality of patient information on autologous fat grafting available on the Internet. MATERIALS AND METHODS: The quantitative and qualitative assessment of websites was based on a modified Ensuring Quality Information for Patients tool (EQIP-36 items). Websites were identified through the most popular search engines (Google, Yahoo, Bing, Ask, and AOL). RESULTS: After duplicate and irrelevant sources were excluded, 608 remaining websites were assessed. Only 164 websites addressed >17 of the 36 items. Scores tended to be higher for academic centers and professional societies than for websites developed by private practitioners. The EQIP score achieved by websites ranged between 0 to 28, with a median value of 14 points. CONCLUSION: The quality of patient information on lipofilling available on the Internet is very poor, and research on existing websites reveals substantial shortcomings. There is an urgent need for sources offering superior quality and unbiased information on lipofilling for patients who intend to undergo this procedure.

A Web-Based Computer-Tailored Program to Improve Treatment Adherence in Patients With Type 2 Diabetes: Randomized Controlled Trial.

BACKGROUND: Adherence to core type 2 diabetes mellitus (T2DM) treatment behaviors is suboptimal, and nonadherence is generally not limited to one treatment behavior. The internet holds promise for programs that aim to improve adherence. We developed a computer-tailored eHealth program for patients with T2DM to improve their treatment adherence, that is, adherence to both a healthy lifestyle and medical behaviors. OBJECTIVE: The objective of this study is to examine the effectiveness of the eHealth program in a randomized controlled trial. METHODS: Patients with T2DM were recruited by their health professionals and randomized into either the intervention group, that is, access to the eHealth program for 6 months, or a waiting-list control group. In total, 478 participants completed the baseline questionnaire, of which 234 gained access to the eHealth program. Of the 478 participants, 323 were male and 155 were female, the mean age was 60 years, and the participants had unfavorable BMI and HbA1c levels on average. Outcome data were collected through web-based assessments on physical activity (PA) levels, caloric intake from unhealthy snacks, and adherence to oral hypoglycemic agents (OHAs) and insulin therapy. Changes to separate behaviors were standardized and summed into a composite change score representing changes in the overall treatment adherence. Further standardization of this composite change score yielded the primary outcome, which can be interpreted as Cohen d (effect size). Standardized change scores observed in separate behaviors acted as secondary outcomes. Mixed linear regression analyses were conducted to examine the effectiveness of the intervention on overall and separate treatment behavior adherence, accommodating relevant covariates and patient nesting. RESULTS: After the 6-month follow-up assessment, 47.4% (111/234) of participants in the intervention group and 72.5% (177/244) of participants in the control group were retained. The overall treatment adherence improved significantly in the intervention group compared with the control group, reflected by a small effect size (d=0.27; 95% CI 0.032 to 0.509; P=.03). When considering changes in separate treatment behaviors, a significant decrease was observed only in caloric intake from unhealthy snacks in comparison with the control group (d=0.36; 95% CI 0.136 to 0.584; P=.002). For adherence to PA (d=-0.14; 95% CI -0.388 to 0.109; P=.27), OHAs (d=0.27; 95% CI -0.027 to 0.457; P=.08), and insulin therapy (d=0.35; 95% CI -0.066 to 0.773; P=.10), no significant changes were observed. These results from the unadjusted analyses were comparable with the results of the adjusted analyses, the per-protocol analyses, and the sensitivity analyses. CONCLUSIONS: Our multibehavior program significantly improved the overall treatment adherence compared with the control group. To further enhance the impact of the intervention in the personal, societal, and economic areas, a wide-scale implementation of our eHealth intervention is suggested. TRIAL REGISTRATION: Netherlands Trial Register NL664; https://www.trialregister.nl/trial/6664.

Factors Affecting Public Adoption of COVID-19 Prevention and Treatment Information During an Infodemic: Cross-sectional Survey Study.

BACKGROUND: With the spread of COVID-19, an infodemic is also emerging. In public health emergencies, the use of information to enable disease prevention and treatment is incredibly important. Although both the information adoption model (IAM) and health belief model (HBM) have their own merits, they only focus on information or public influence factors, respectively, to explain the public's intention to adopt online prevention and treatment information. OBJECTIVE: The aim of this study was to fill this gap by using a combination of the IAM and the HBM as the framework for exploring the influencing factors and paths in public health events that affect the public's adoption of online health information and health behaviors, focusing on both objective and subjective factors. METHODS: We carried out an online survey to collect responses from participants in China (N=501). Structural equation modeling was used to evaluate items, and confirmatory factor analysis was used to calculate construct reliability and validity. The goodness of fit of the model and mediation effects were analyzed. RESULTS: The overall fitness indices for the model developed in this study indicated an acceptable fit. Adoption intention was predicted by information characteristics (ß=.266, P<.001) and perceived usefulness (ß=.565, P<.001), which jointly explained nearly 67% of the adoption intention variance. Information characteristics (ß=.244, P<.001), perceived drawbacks (ß=-.097, P=.002), perceived benefits (ß=.512, P<.001), and self-efficacy (ß=.141, P<.001) jointly determined perceived usefulness and explained about 81% of the variance of perceived usefulness. However, social influence did not have a statistically significant impact on perceived usefulness, and self-efficacy did not significantly influence adoption intention directly. CONCLUSIONS: By integrating IAM and HBM, this study provided the insight and understanding that perceived usefulness and adoption intention of online health information could be influenced by information characteristics, people's perceptions of information drawbacks and benefits, and self-efficacy. Moreover, people also exhibited proactive behavior rather than reactive behavior to adopt information. Thus, we should consider these factors when helping the informed public obtain useful information via two approaches: one is to improve the quality of government-based and other official information, and the other is to improve the public's capacity to obtain information, in order to promote truth and fight rumors. This will, in turn, contribute to saving lives as the pandemic continues to unfold and run its course.