Digital technologies provide a convenient and scalable approach to dietary assessment and personalised feedback, facilitating behaviour change. This is essential for reducing the prevalence of non-communicable diseases at a population level. However, the evaluation of the acceptability and feasibility of dietary feedback delivered via online platforms has not been thoroughly investigated. By utilising the term 'system architecture' to describe the essential components of the digital approach to capturing dietary feedback, this systematic review outlines the platform, dietary assessment methodology, reference values for assessing dietary intake, and elements of personalised dietary feedback. When reported, the acceptability and feasibility of personalised feedback were captured. OVID Medline, OVID Embase, Scopus via Elsevier, and Cinahl Plus via EBSCO identified 5,839 studies. Search terms included dietary assessment, feedback, and digital technologies. In total, 28 studies involving 301,271 participants were included. Food frequency questionnaires were the most commonly used dietary assessment method, accessed via web-based platforms. Dietary intake was commonly assessed using a diet quality index, and feedback was provided on food groups, often combined with a diet quality score or macronutrient analysis. While participant acceptance of personalised dietary feedback was generally high, the overall completion rates for acceptability questionnaires were low, and feasibility was seldom reported. Methods used to measure acceptability and feasibility varied, preventing comparisons across studies. Study quality was high; however, future research would benefit from the involvement of stakeholders and end-users in designing feedback messages.

The existing undergraduate training uses comprehensive models, including theoretical, preclinical, and clinical practice, and aims to provide the candidate with the specific knowledge and skills required to perform the relevant treatments. The prevalence of integrating new systems in endodontic education and their contribution to the applicability of endodontic treatments have not been evaluated from the perspective of trainees and educators before/after graduation. This study aimed to determine which endodontic preclinical training model contributes more to clinical applicability and success. In light of the obtained data, it seeks to raise awareness by proposing the most appropriate education model or model combination. A questionnaire was initially prepared and transferred to an online platform. The survey consists of 3 parts and 36 questions in total. The first part is about the participants' demographics. The second section assessed information on endodontic preclinical training models participants experienced during undergraduate/postgraduate training, their general perspectives on endodontics, and their self-assessment of the contribution of these models to clinical practice competence. The third aimed to determine participants' knowledge of the material properties used in endodontic simulation, their advantages and disadvantages, and their preferred model based on trainee and educator perspectives. After validating the questionnaire, the data were analysed using Fisher-Freeman-Halton, Pearson chi-square, Yates correction, and Fisher Exact Test with Monte Carlo correction for categorical variables (p < 0.05). The internal consistency and construct validity demonstrated strong inter-item correlations (r = 0.81-0.90), indicating high internal coherence. The content validity index for all items exceeded the acceptable threshold (≥ 0.80). The distribution of participants (n = 238) was as follows: students (46.8%), dentists (29.1%), PhD students/residents (9.7%), endodontists (7.6%), and lecturers/educators (8.9%). Most participants reported completing preclinical training with only extracted teeth (54.2%). The preclinical training model the current students received had a statistically significant content, with simulated models included (p < 0.003). Among dentists and students trained solely on extracted teeth, those not sympathetic to endodontics were significantly more common (p = 0.042). Those who responded that they understood and practised endodontics better had been trained by simulated models and phantom bodies in addition to extracted teeth (P < 0.001). Participants generally reported that combining extracted teeth, simulated models, and phantom scenarios contributed more to endodontic education (p = 0.001). Integrating simulated models into the endodontic training module is highly promising. Advances in materials science and simulation technologies enable the development of realistic models.

Ethical safeguards are critical in HIV research involving minors, especially vulnerable groups such as men who have sex with men (MSM) under 18 years. This systematic review explores how informed assent and consent practices are reported, guided by the 2016 Council for International Organizations of Medical Sciences (CIOMS) guidelines. A systematic review was conducted of peer-reviewed studies from 2010 to 2023 involving MSM under 18 years, using PubMed, Embase, and Scopus databases. Key ethical components were extracted and synthesized thematically. Of 410 articles screened, 65 met inclusion criteria. All included studies reported informed consent, but only 20% (n = 13) included informed assent. Most were conducted in high-income countries (64%), with no representation from low-income settings. Only 7% involved minors living with HIV. Quantitative methods were predominant (82%), and 20% used online platforms. Waivers of parental permission were reported in 27% of studies, while only 3% obtained parental permission. Four studies described tailored consent/assent approaches, such as simplified language, comprehension checks, and involvement of minor advocates. This review highlights inconsistencies in how informed assent is addressed in HIV research involving MSM minors. Only one in five studies described ethically appropriate, youth-tailored processes. Limited use of waivers and adapted assent procedures points to ongoing gaps in aligning research with ethical standards. Future studies should adopt clearer, age-appropriate consent practices, ensure transparent reporting, and strengthen researcher training in ethics involving vulnerable minors.

In the context of donating surplus frozen eggs (SFE) to research, what level of information disclosure, and associated consent model, do the public believe most effectively allows donors to make an informed decision, exercise autonomy, and be treated morally? The public supports the information disclosure requirements of both a specific and broad consent model in this context, with the latter considered to better enhance autonomy and facilitate the moral treatment of SFE donors. Despite research indicating that many individuals' first preference is to donate their SFEs to research, donation rates remain low. One possible reason for this is the way consent processes for the donation of SFEs to research are currently regulated, specifically that their high information requirements limit opportunities to donate. There is a notable lack of research on how consent processes should operate, and more specifically, how much information a person should be provided before providing consent, in the context of donating SFEs to research. An online experimental survey of 225 participants was conducted. The survey assessed the impact of two variables-Information Disclosure and Preference Fulfilment-on participants' views towards whether a consent process allowed for informed, autonomous consent and the moral treatment of donors. A nationally representative sample of the UK public was recruited using the online platform Prolific. The survey consisted of a vignette-based experimental design, one free-text question, and demographic data collection. Quantitative data were summarized using descriptive statistics and the relationship between variables was tested using ANOVAs and t-tests, where appropriate. Inductive content analysis through manual coding was performed on the free-text question. Participants considered both specific and broad information disclosure as sufficient for informed consent (mean Consent Judgements M = 6.49/7 and M = 5.79/7, respectively). The ability to fulfil disposition preferences was critical to the public's assessment of whether a consent process enabled donors to act autonomously and be treated morally. Participants agreed that a potential donor was able to make an autonomous decision if their preference to donate their SFEs to research was fulfilled (mean Autonomy Judgement M = 5.46/7, mean Moral Judgement M = 5.63/7), but not when it was not (mean Autonomy Judgement M = 3.96/7, mean Moral Judgement: M = 4.76/7). Ecological validity of online surveys is limited, and data may be subject to response biases. Additionally, the sample size was relatively small. Finally, since the sample population was based in the UK, the generalizability of the survey findings to other countries may be limited. Our findings underscore the need to review and possibly update consent processes for the donation of SFEs to research. We encourage policy discussion in light of our findings, specifically the consideration of a shift towards a broad consent model. Doing so may allow more donors to fulfil their disposition preference, facilitate the movement of SFEs out of storage, and respond to the shortage of eggs currently available for research. This research was supported by The British Academy (grant number KF8\230096). The survey component of this study was funded by the Uehiro Oxford Institute. M.J. has received research funding from Monash IVF and Ferring Pharmaceuticals. She reports honorarium and travel support from Gideon Richter. N/A.

Rare diseases pose significant diagnostic challenges due to their low prevalence, limited clinical awareness, and pronounced phenotypic heterogeneity. Early and accurate diagnosis is essential but remains difficult, especially in resource-limited settings where comprehensive genetic testing is unavailable. Distinctive facial phenotypes can offer accessible diagnostic clues, yet overlapping features and broad phenotypic spectra often hinder precise identification. To address these challenges, we present the Facial Phenotype-Gene-Disease Knowledge Graph (FPGDKG), a unified resource integrating multi-source data on facial phenotypes, genes, and diseases. The knowledge graph comprises 23,096 nodes and 239,236 relationships. We demonstrate the utility of FPGDKG through three representative use cases: (1) phenotype-based automated diagnosis of rare diseases using machine learning models; (2) explainable diagnosis by jointly presenting phenotype, genotype, and literature evidence for each prediction. The accuracies of the presented evidence, as validated quantitatively, are 73.67$\%$ for phenotype, 59.57$\%$ for gene, and 90.59$\%$ for literature evidence; (3) embedding-based matching to support differential diagnosis for ultra-rare diseases. To facilitate clinical use and research, we also developed an interactive online platform that offers intuitive visualization, information retrieval, and explainable decision support (http://bioinf.org.cn:8060/). Through three representative use cases, we show that FPGDKG supports promising diagnostic performance and enhances explainability by providing multi-dimensional evidence, making it a valuable tool for transparent, data-driven rare disease diagnosis.

ABSTRACT Amid growing concerns over information integrity, disinformation has evolved into a broader and more complex phenomenon now recognized as Foreign Information Manipulation and Interference (FIMI), posing significant threats to democratic governance. This article explores how Taiwan has harnessed the strength of its vital civil society to counter disinformation as an illustration of “civic constitutionalism,” in which nongovernmental organizations (NGOs) and engaged citizens collaborate to advance shared interests and values through sustained engagement in public policy and political institutions. Taiwan's example demonstrates that a civil society‐driven approach can provide a viable alternative to both platform self‐regulation and direct government regulation. The findings reveal that Taiwan's NGOs and engaged citizens, through fact‐checking initiatives, public advocacy, and digital literacy programs, have played a pivotal role in detecting and countering disinformation. These actions have not only compelled governmental responses to foreign information warfare but also acted as a check against excessive state control over online platforms. By fostering constructive collaboration between civil society, governmental bodies, and digital platforms, Taiwan offers a practical model of democratic resilience against the multifaceted challenges of digital threats.

State-of-the-art digital phenotyping methods for cardiometabolic risk prevention and management: a scoping review.

This study investigates the recurring service quality issues at J&amp;T Express, a prominent logistics company in Indonesia. The rapid growth of the logistics industry, fueled by the rise in online shopping, has resulted in significant challenges in maintaining service quality. Frequent customer complaints, such as lost packages, damaged goods, wrong deliveries, and poor response to inquiries, were identified through customer feedback on various online platforms. To address these issues, the study employs quality management tools including check sheets, Pareto charts, and fishbone diagrams. Check sheets were used to systematically record customer complaints and identify the most frequent issues. The Pareto chart, based on the 80/20 principle, highlighted that a small number of issues, such as lost packages, contributed significantly to the overall complaints. The fishbone diagram helped in identifying the root causes of these problems, uncovering issues in areas such as technology, human resources, operational processes, materials, and environmental factors. Based on the analysis, the study proposes targeted recommendations for improving service quality at J&amp;T Express. These recommendations include strengthening tracking systems, enhancing customer service responsiveness, improving package handling procedures, and implementing standardized operational processes. The findings of this study contribute to the understanding of service quality management in the logistics sector and offer practical insights for companies looking to enhance customer satisfaction.

Effect of opt-in versus opt-out framing on trial recruitment: a study within a trial of the GAMEPAD randomized trial.

Healthcare professionals are expected to provide holistic care to their patients without discrimination based on factors such as religion, language, age, gender, and race. It is a cross-sectional descriptive study. The study aimed to examine the discriminatory attitudes of nurses and physicians working in hospitals in Sanliurfa and to define whether the personal and professional variables predict discriminatory attitudes among them. The STROBE reporting method, which is one of the EQUATOR guidelines, was followed. Data were collected from a total of 376 physicians and nurses through online platforms between March and June 2020 via the information form and the Discrimination Attitude Scale. The discriminatory attitudes of the nurses and physicians participating in the study were above average. The total discriminatory attitudes scores of the participants varied according to sex, income levels, profession, hospital experience, and unit (p < 0.05). In addition, sex, profession and unit variables predicted the total discriminatory attitudes of nurses and physicians (p < 0.05). Although nurses' and physicians' discriminatory attitudes scores were generally higher, the highest mean score was in the subscale "discrimination against other nationalities." Sex, profession, and unit variables predicted the total discriminatory attitudes of nurses and physicians. Further quantitative and qualitative research is needed to understand the reasons for the highest discriminatory attitudes towards other nationalities among healthcare professionals, to overcome this issue. Nursing or healthcare managers, as well as policymakers, may consider the predictive variables when staffing and training nurses and physicians working in similar regions and conditions.

This trial aims to investigate the effectiveness of online digital intervention in patients with non-small cell lung cancer (NSCLC) in terms of adverse events (AEs) and quality of life (QoL). This randomized trial recruited 200 patients with advanced NSCLC (March 2022-October 2023). All patients received standard-of-care precise treatment, predominantly immunochemotherapy. The study was designed to assess AEs and QoL improvement. Through the CareAcross online platform, all patients received information about their disease and treatment and reported any of the 22 predefined AEs at any time. Patients were randomly assigned 1:1 in the intervention (A) and control (B) arm; patients in arm A automatically received, additionally, evidence-based guidance for the reported AEs. EuroQol 5-dimension 5-level responses were collected at baseline and at each treatment cycle. Resulting scores were compared between baseline and after the sixth cycle. In addition, patient case-level hospitalization data were collected and costs were estimated based on reimbursed costs as defined by the Ministry of Health, enabling a post hoc analysis. Clinical characteristics were well-balanced. More AEs were reported by patients online versus to their clinicians (P < .01). Among the 22 AEs, 17 improved more in arm A, with the improvement in rash and stomatitis being statistically significant. In QoL, there was no improvement in any of the five EuroQol 5-Dimension dimensions. Digital intervention was cost-saving with lower mean costs for hospitalization (P < .001). Overall response rate, progression-free survival, and overall survival were not statistically different between the two arms, ensuring comparable clinical outcome. Digital oncology tends to improve selected AEs and is cost saving. Patients report, digitally, more informative AEs. Digital oncology can be a complementary tool to the oncology team and warrants further exploration.

Listening and speaking are widely recognized as complex, integrated skills that require both linguistic knowledge and real-time processing. Despite their importance for academic success, they do not always receive the focus they require in the context of four-skills materials. To address these needs, Pattison and Lee’s Pathways 3: Listening, speaking, and critical thinking (3rd ed.) provides a valuable resource at a reasonable price for B2-level adult learners in English for academic purposes (EAP) settings. Now in its third edition, the Pathways series incorporates updated scaffolded speaking activities, a review section in every unit for formative assessment, and an online platform to address the evolving needs of the classroom. [[First paragraph of review]]

Self-disclosure of suicidal thoughts and behaviors (STBs) is integral for risk assessment and intervention. However, limited research elucidates the nuanced characteristics of first disclosure experiences for bisexual individuals, who are disproportionately impacted by suicide yet remain underrepresented in the literature. This study examined the features, motivations, and outcomes of an initial STB disclosure among heterosexual and bisexual individuals. Self-report data from 259 adults (Mage = 35.40 years; 35.09% bisexual) with a history of STB disclosure recruited through Amazon Mechanical Turk (mTurk) were analyzed with univariate and non-parametric tests and binary logistic regression models. Compared to heterosexuals, bisexual participants reported a higher prevalence of suicidal behavior disclosure, seeking formal disclosure recipients, and disclosing through online platforms. They were also more motivated to address physical safety concerns and obtain professional help and more frequently engaged in help-seeking behaviors post-disclosure. On average, both groups rated disclosure as helpful, with heterosexual individuals reporting it as more helpful. There was a significant main effect of help-seeking encouragement from recipients in predicting post-disclosure help-seeking engagement. These findings underscore the necessity of considering the impact of sexual orientation differences in initial STB disclosure processes, which may set the benchmark for subsequent disclosure and help-seeking trajectories.

Betteng Village is recognized as one of the centers of traditional household-scale palm sugar production. However, the development of this industry has not yet been optimal, as it faces various complex challenges, resulting in relatively slow progress. This study aims to determine alternative strategies for the development of household palm sugar industries in Betteng Village, Pamboang District, Majene Regency. The research method employed surveys, interviews, questionnaires, and literature studies. Data were analyzed using SWOT (Strengths, Weaknesses, Opportunities, Threats) and FAHP (Fuzzy Analytical Hierarchy Process). The analysis results indicate that the value obtained from the IFE matrix is 2.543, while the value of the EFE matrix is 2.599. The household palm sugar industry in Betteng Village is positioned in cell V, which reflects an average condition both internally and externally; therefore, the appropriate strategy is hold and maintain. Based on the SWOT analysis, 13 alternative strategies were formulated. The five main priority strategies for development are: enhancing palm sugar production capacity, creating secondary packaging accompanied by attractive and informative packaging design, providing entrepreneurship training for artisans, developing product diversification of palm sugar, and expanding marketing distribution channels through both offline and online platforms.

Social network analysis has become essential for understanding interaction patterns, information diffusion, and community behavior in the digital era. With the rapid expansion of online platforms such as Twitter, Facebook, and Weibo, vast amounts of data are generated daily, reflecting not only individual communication but also broader societal trends. This explosion of data requires advanced computational techniques to process, analyze, and derive meaningful insights. Graph Neural Networks (GNNs) and Large Language Models (LLMs) have emerged as two of the most promising approaches for addressing the complexity inherent in social network data. GNNs excel at modeling relational structures within networks, allowing for accurate predictions of community structures, influence propagation, and link prediction. LLMs, built on transformer architectures, process large-scale unstructured textual data, enabling tasks such as sentiment analysis, misinformation detection, and influencer identification. This paper offers an in-depth overview of the use of Graph Neural Networks (GNNs), Large Language Models (LLMs), and their combined application in analyzing social networks. It provides a structured assessment of the advantages and shortcomings of these methodologies, highlights existing obstacles, and proposes potential avenues for future research to overcome them. Major suggestions involve improving computational efficiency, reducing biases in both data and model outputs, advancing the modeling of time-dependent behaviors, and developing consistent and reliable evaluation protocols for integrated models. By consolidating recent advancements in this fast-growing domain, the study emphasizes the significant potential of merging GNNs and LLMs to achieve more precise, scalable, and fair analysis of social networks.

The medical landscape in Canada continues to evolve, including the Canadian Resident Matching Service (CaRMS) for orthopaedic surgery residency programs. This ongoing change can create ambiguity for medical students navigating the application process, making it difficult to discern what individual programs value. Each program may have unique criteria when assessing applicants, adding to the uncertainty. As a result, students often turn to mentors, online platforms, and career advisors for insight. However, these sources may not always provide accurate or consistent information. To offer more clarity to medical students applying to orthopaedic surgery, we disseminated a survey to residency programs across Canada to assess the criteria deemed most important in selecting future residents. The primary objective of this cross-sectional, multicentric survey study was to identify the key selection criteria valued by orthopaedic surgery residency programs during the CaRMS process. Research ethics and board approval were obtained from the University of Toronto. An electronic survey was sent to all 17 Canadian orthopaedic surgery residency programs, targeting program directors, associate program directors, program chairs, and other members involved in resident selection. Using a five-point Likert scale, respondents rated various criteria grouped into categories such as clinical performance, interview performance, references, medical school performance, research productivity, career goals, and extracurriculars. Respondents were also asked to rate statements as negative, positive, or neutral, with space provided for additional comments. A numeric mean score was calculated for each factor to generate a final rank list of the most important selection criteria. A total of 25 orthopaedic surgeons involved in the selection process participated in the study, with 7 being program directors and 4 associate program directors. Of the 17 programs, 12 (70.6%) responded to the survey. The top three most important criteria identified by selection committee members were clinical performance at their institution (96%), interview performance (76%), and reference letters (64%). Conversely, the least important criteria were career goals (8%) and research productivity (4%). Within these categories, the three most important qualities were: “Exhibit professional behaviors in all aspects, including integrity, honesty, respect, compassion, and humility” (mean score 4.92, SD 0.4), “Demonstrate a commitment to excellence and a strong work ethic” (mean score 4.84, SD 0.37), and “Effectively work in a team environment and maintain positive relationships with colleagues” (mean score 4.76, SD 0.44). Additionally, 64% of respondents viewed having strong ties to the city of their institution positively. In contrast, applying to multiple specialties (44%), social media presence (84%), and established connections within the specialty (76%) were generally seen as neutral. This study reveals that Canadian orthopaedic surgery residency programs prioritize clinical performance, interview skills, and reference letters when selecting applicants, with professional behaviors and teamwork being highly valued. Academic standing, research productivity, and career goals were less significant. Factors such as social media activity and ties to the institution's city were largely seen as neutral. These findings provide valuable guidance for applicants, encouraging them to focus on clinical competence, professionalism, and collaboration throughout the CaRMS application process.

Objective: Chronotype refers to an individual’s natural preference for sleep and wake times, which reflects their internal circadian rhythm. It determines whether a person feels more alert and active in the morning, in the evening, or follows a more intermediate pattern. The aim of the study was to identify a potential association between chronotypes and the consumption of nicotine and highrisk alcohol use among medical students. Materials and Methods: The study was conducted between May 2024 and June 2024 via an online platform (Google Forms) among medical students in Marmara University. Horne-Ostberg’s Morningness-Eveningness Questionnaire form was used to determine the circadian rhythm characteristics. Univariate and multivariate analyses were performed to determine the associations of nicotine and high-risk alcohol use with chronotype. Results: A total of 323 medical students participated in the survey. Of the respondents, 198 (61.3%) had an intermediate chronotype, 69 (21.4%) had a morning chronotype, and 56 (17.3%) had an evening chronotype. It was observed that students with an evening chronotype had a statistically significantly higher rate of regular nicotine use compared to those with a morning chronotype (OR=3.62, p=0.04) and a high-risk alcohol use (OR=4.49, p=0.015). Conclusion: Assessing the evening type population among medical students may be a specific target for educational health promotion interventions aimed at preventing or reducing alcohol and nicotine consumption.

This paper investigates a new business phenomenon where platforms nurture contract manufacturers (CMs) by sharing market demand information. We consider a game-theoretical model that an original brand manufacturer (OBM) outsources the production to a CM, who encroaches the end-customer market with a competing product. The CM’s production cost can benefit from economies of scale. Both the OBM and the CM sell their product through a common online platform. The platform has accurate market demand information and determines whether to share with the CM. When it does, a signaling game between the OBM and the CM arises. Unlike a typical signaling game, we show that each type of CM may have an incentive to mimic the other type. This is driven by the CM’s two opposite drivers: wants the OBM to order more to achieve economies of scale, versus wants the OBM to order less to reduce competition at the end-customer market. We also find that information sharing may lead to lower demands and higher prices, and customers and social welfare may suffer as a result. Lastly, due to this information sharing option, we demonstrate how economies of scale can hurt the platform and the OBM.

ABSTRACT: This study is conducted to understand how investors in Amravati city think about cryptocurrency as a long-term investment option. Nowadays, cryptocurrency is becoming popular, but many investors are confused because of risk, price changes, security issues, and unclear government rules. The main purpose of this study is to know the level of awareness, knowledge, trust, and interest of investors in cryptocurrency. The study is based on primary data collected from 50 respondents using a questionnaire. The data is analysed using percentage method and chi-square test. The findings show that most respondents have heard about cryptocurrency, but only a few actively invest in it. Many investors have some knowledge but are not fully confident because they do not clearly understand how cryptocurrency works. Risk of losing money, market ups and downs, and safety of online platforms strongly affect investor opinion. Social media and online sources also play an important role in shaping investor views. The study also finds that most investors prefer to invest only a small part of their money in cryptocurrency instead of using it as a main investment. The chi-square test proves that investor perception has a significant effect on the decision to consider cryptocurrency as a long-term investment. The study concludes that better awareness, clear government rules, and strong security systems are needed to increase investor confidence in cryptocurrency. KEYWORDS: Cryptocurrency, Investor Awareness, Investor Perception, Long-term Investment, Risk, Security

Hearing loss impacts 430 million individuals worldwide and is linked to negative outcomes such as social isolation and cognitive decline. While social media offers a valuable avenue for gathering insights into patient experiences with hearing aids (HAs) and cochlear implants (CIs), there remains a significant gap in understanding how to effectively capture and analyze these perspectives. This scoping review aims to map existing literature about online communities, providing a novel approach to exploring and analyzing patient experiences with HAs and CIs that conventional research methods may overlook. A comprehensive literature search was conducted across several databases to identify studies evaluating HA and CI user experiences with regard to online platforms. Studies were screened and summarized, drawing out themes for user devices studied, digital platforms utilized, and primary analysis methods. Of 1,752 original studies screened, 16 were ultimately included. Three primary modes of analysis emerged from a review of the literature: (a) manual coding of text, (b) computational text analysis, and (c) audiovisual content analysis. Each approach contributed distinct insights: Manual coding captured nuanced lived experiences and emotional narratives, computational techniques offered scalable assessments of sentiment and usage patterns, and audiovisual analyses highlighted educational quality and content dissemination trends. Findings revealed underlying trends in the utility of online communities as a space for patients with a CI or HA to share personal anecdotes and experiences, as a modality to distribute medical information and decrease barriers to health literacy, and as a unique environment to find peer support. This scoping review demonstrates promise in the use of online platforms as a resource for evaluating HA and CI user experiences. Evaluating these digital platforms can help inform patients and guide providers with user perspectives, offer support systems for patients, and empower patients with a CI or HA to optimize their medical, communicative, and social engagement throughout their hearing health care journey. https://doi.org/10.23641/asha.31060957.