Evaluating the Problem of Fraudulent Participants in Health Care Research: Multimethod Pilot Study.

BACKGROUND: The shift toward online recruitment methods, accelerated by the COVID-19 pandemic, has brought to the forefront the growing concern of encountering fraudulent participants in health care research. The increasing prevalence of this issue poses a serious threat to the reliability and integrity of research data and subsequent findings. OBJECTIVE: This study aims to explore the experiences of health care researchers (HCRs) who have encountered fraudulent participants while using online recruitment methods and platforms. The primary objective was to gain insights into how researchers detect and mitigate fraudulent behavior in their work and provide prevention recommendations. METHODS: A multimethod sequential design was used for this pilot study, comprising a quantitative arm involving a web-based survey followed by a qualitative arm featuring semistructured interviews. The qualitative description approach framed the qualitative arm of the study. Sample sizes for the quantitative and qualitative arms were based on pragmatic considerations that in part stemmed from encountering fraudulent participants in a concurrent study. Content analysis was used to analyze open-ended survey questions and interview data. RESULTS: A total of 37 HCRs participated, with 35% (13/37) of them engaging in qualitative interviews. Online platforms such as Facebook, email, Twitter (subsequently rebranded X), and newsletters were the most used methods for recruitment. A total of 84% (31/37) of participants indicated that fraudulent participation occurred in studies that mentioned incentives in their recruitment communications, with 71% (26/37) of HCRs offering physical or electronic gift cards as incentives. Researchers identified several indicators of suspicious behavior, including email surges, discrepancies in contact or personal information, geographical inconsistencies, and suspicious responses to survey questions. HCRs emphasized the need for a comprehensive screening protocol that extends beyond eligibility checks and is seamlessly integrated into the study protocol, grant applications, and research ethics board submissions. CONCLUSIONS: This study sheds light on the intricate and pervasive problem of fraudulent participation in health care research using online recruitment methods. The findings underscore the importance of vigilance and proactivity among HCRs in identifying, preventing, and addressing fraudulent behavior. To effectively tackle this challenge, researchers are encouraged to develop a comprehensive prevention strategy and establish a community of practice, facilitating real-time access to solutions and support and the promotion of ethical research practices. This collaborative approach will enable researchers to effectively address the issue of fraudulent participation, ensuring the conduct of high-quality and ethically sound research in the digital age.

Screening and Retaining Adolescents Recruited Through Social Media: Secondary Analysis from a Longitudinal Clinical Trial.

BACKGROUND: Social media has become a popular method to recruit participants, particularly for studies with hard-to-reach populations. These studies still face challenges in data quality and, for longitudinal studies, sample retention. However, in addition to aiding in recruitment, social media platforms can help researchers with participant verification and tracking procedures during the study. There is limited previous research describing how longitudinal studies can use social media to screen and retain participants. OBJECTIVE: This paper describes strategies implemented to screen and retain a nationwide sample of sexual minority youth who were recruited through social media platforms for a longitudinal study testing a drug abuse prevention program. METHODS: Our screening strategies for participants included collecting necessary demographic information (name, phone, email, and social media accounts), verifying this information using publicly available web-based records, and sending confirmation emails to ensure working email addresses and correct dates of birth. Retention strategies included communications designed to develop positive participant relationships, incentives for survey completion, regular updating of participant contact information, targeting hard-to-reach participants, and using social media as an alternative means of contacting participants. RESULTS: During enrollment, although the only demographic data required were a phone number and an email address, 87.58% (1065/1216) of participants provided their Instagram as an alternative means of contact. This form of alternative communication remains the most preferred with 87.40% (1047/1198) of participants continuing to provide an Instagram username as of January 2023, about 3 years after recruitment began. In comparison, other alternative means of contact (eg, Facebook and alternative email) were provided by only 6.43% (77/1198) to 56.18% (673/1198) of participants. Direct messaging on Instagram was used to successfully confirm participant identity, remind participants to take annual follow-up surveys, and update lost participant contact information. Screening and retention strategies used in the study have helped achieve 96.30% (1171/1216) to 96.79% (1177/1216) sample retention across 3 waves of data collection. CONCLUSIONS: Though social media can be a helpful tool to recruit participants, attrition and participant authenticity difficulties may be associated with this method. Screening and retention strategies can be implemented to improve retention. Internet searches are effective for screening youth to ensure they meet eligibility requirements. Additionally, social media-Instagram in this study-can help to track and locate participants who do not respond to traditional contact methods. TRIAL REGISTRATION: ClinicalTrials.gov NCT03954535; https://clinicaltrials.gov/study/NCT03954535.

"Our Community Comes First": Investigating Recruitment Ads That Represent and Appeal to Black Women for Online, HIV-Related Research Studies.

BACKGROUND: Black women are underrepresented in health-related research. Consulting Black women in the creation of recruitment materials may help increase their representation in research studies, but few of these recruitment materials have been evaluated. This manuscript reports on the impact of two ads (one featuring older women and one featuring younger women) created through multiple focus group sessions with Black women. The purpose of the ads were to recruit Black women to participate in an online research study about HIV prevention and pre-exposure prophylaxis, PrEP. MATERIALS AND METHODS: Questions about the ads were embedded in the eligibility screener for inclusion in the online parent research study. Respondents were asked which ad they saw, what they liked about it, and what about the ad piqued their interest in the study. RESULTS: In total, 301 Black women completed the eligibility screener for the online study and answered questions pertaining to the two ads. Most participants reported seeing the ad with younger women (260/301, 86.4%). Representation of Black women (n = 70), ad design (n = 64), relevance to Black women and the Black community (n = 60), and comprehensiveness of ad content (n = 38) were the top 4 ad features respondents liked. Relevance to Black women and the Black community (n = 104) as well as ad content (n = 54) (i.e., study purpose, location, duration, images, incentive) were the top two reasons provided about ads that piqued respondent's interest in the online study. CONCLUSION: Findings showcase how recruitment ads informed by Black women could help increase their interest and participation in research.

Utilization of online systems to promote youth participation in research: A methodological study.

BACKGROUND: Online surveys can align with youth's increased use of the internet and can be a mechanism for expanding youth participation in research. This is particularly important during the coronavirus disease 2019 (COVID-19) pandemic, when in-person interactions are limited. However, the advantages and drawbacks of online systems used for research need to be carefully considered before utilizing such methodologies. AIM: To describe and discuss the strengths and limitations of an online system developed to recruit adolescent girls for a sexual health research study and conduct a three-month follow up survey. METHODS: This methodology paper examines the use of an online system to recruit and follow participants three months after their medical visit to evaluate a mobile sexual and reproductive health application, Health-E You/Salud iTuTM, for adolescent girls attending school-based health centers (SBHCs) across the United States. SBHC staff gave adolescent girls a web link to an online eligibility and consent survey. Participants were then asked to complete two online surveys (baseline and 3-month follow-up). Surveys, reminders, and incentives to complete them were distributed through short message service (SMS) text messages. Upon completing each survey, participants were also sent an email with a link to an electronic gift card as a thank-you for their participation. Barriers to implementing this system were discussed with clinicians and staff at each participating SBHC. RESULTS: This online recruitment and retention system enabled participant recruitment at 26 different SBHCs in seven states across the United States. Between September 2021 and June 2022, 415 adolescent girls were screened using the Qualtrics online survey platform, and 182 were eligible to participate. Of those eligible, 78.0% (n = 142) completed the baseline survey. Participants were racially, geographically, and linguistically diverse. Most of the participants (89.4%) were non-White, and 40.8% spoke Spanish. A total of 62.0% (n = 88) completed the 3-month follow-up survey. Limitations of this system included reliance on internet access (via Wi-Fi or cell service), which was not universally available or reliable. In addition, an individual unrelated to the study obtained the survey link, filled out multiple surveys, and received multiple gift cards before the research team discovered and stopped this activity. As a result, additional security protocols were instituted. CONCLUSION: Online systems for health research can increase the reach and diversity of study participants, reduce costs for research personnel time and travel, allow for continued study operation when in-person visits are limited (such as during the COVID-19 pandemic), and connect youth with research using technology. However, there are challenges and limitations to online systems, which include limited internet access, intermittent internet connection, data security concerns, and the potential for fraudulent users. These challenges should be considered prior to using online systems for research.

A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques.

With the rise of the Internet and social media, information has become available at our fingertips. However, on the dark side, these advancements have opened doors for fraudsters. Online recruitment fraud (ORF) is one of the problems created by these modern technologies, as hundreds of thousands of applicants are victimized every year globally. Fraudsters advertise bogus jobs on online platforms and target job hunters with fake offerings such as huge salaries and desirable geographical locations. The objective of these fraudsters is to collect personal information to be misused in the future, leading to the loss of applicants' privacy. To prevent such situations, there is a need for an automatic detecting system that can distinguish between real and fake job advertisements and preserve the applicants' privacy. This study attempts to build a smart secured framework for detecting and preventing ORF using ensemble machine learning (ML) techniques. In this regard, four ensemble methods-AdaBoost (AB), Xtreme Gradient Boost (XGB), Voting, and Random Forest (RF)-are used to build a detection framework. The dataset used was pre-processed using several methods for cleaning and denoising in order to achieve better outcomes. The performance evaluation measures of the applied methods were accuracy, precision, sensitivity, F-measure, and ROC curves. According to these measures, AB performed best, followed by XGB, voting, and RF. In the proposed framework, AB achieved a high accuracy of 98.374%, showing its reliability for detecting and preventing ORF. The results of AB were compared to existing methods in the literature validating the reliability of the model to be significantly used for detecting ORF.

Sampling Sexual and Gender Minority Youth With UnACoRN (Understanding Affirming Communities, Relationships, and Networks): Lessons From a Web-Based Survey.

BACKGROUND: Periodic surveys of sexual and gender minority (SGM) populations are essential for monitoring and investigating health inequities. Recent legislative efforts to ban so-called conversion therapy make it necessary to adapt youth surveys to reach a wider range of SGM populations, including those <18 years of age and those who may not adopt an explicit two-spirit, lesbian, gay, bisexual, transgender, and queer (2S/LGBTQ) identity. OBJECTIVE: We aimed to share our experiences in recruiting SGM youth through multiple in-person and online channels and to share lessons learned for future researchers. METHODS: The Understanding Affirming Communities, Relationships, and Networks (UnACoRN) web-based survey collected anonymous data in English and French from 9679 mostly SGM respondents in the United States and Canada. Respondents were recruited from March 2022 to August 2022 using word-of-mouth referrals, leaflet distribution, bus advertisements, and paid and unpaid campaigns on social media and a pornography website. We analyzed the metadata provided by these and other online resources we used for recruitment (eg, Bitly and Qualtrics) and describe the campaign's effectiveness by recruitment venue based on calculating the cost per completed survey and other secondary metrics. RESULTS: Most participants were recruited through Meta (13,741/16,533, 83.1%), mainly through Instagram; 88.96% (visitors: 14,888/18,179) of our sample reached the survey through paid advertisements. Overall, the cost per survey was lower for Meta than Pornhub or the bus advertisements. Similarly, the proportion of visitors who started the survey was higher for Meta (8492/18,179, 46.7%) than Pornhub (58/18,179, 1.02%). Our subsample of 7037 residents of Canada had a similar geographic distribution to the general population, with an average absolute difference in proportion by province or territory of 1.4% compared to the Canadian census. Our US subsample included 2521 participants from all US states and the District of Columbia. A total of CAD $8571.58 (the currency exchange rate was US $1=CAD $1.25) was spent across 4 paid recruitment channels (Facebook, Instagram, PornHub, and bus advertisements). The most cost-effective tool of recruitment was Instagram, with an average cost per completed survey of CAD $1.48. CONCLUSIONS: UnACoRN recruited nearly 10,000 SGM youth in the United States and Canada, and the cost per survey was CAD $1.48. Researchers using online recruitment strategies should be aware of the differences in campaign management each website or social media platform offers and be prepared to engage with their framing (content selection and delivery) to correct any imbalances derived from it. Those who focus on SGM populations should consider how 2S/LGBTQ-oriented campaigns might deter participation from cisgender or heterosexual people or SGM people not identifying as 2S/LGBTQ, if relevant to their research design. Finally, those with limited resources may select fewer venues with lower cost per completed survey or that appeal more to their specific audience, if needed.

A practical guide to implementing a successful social media recruitment strategy: lessons from the Eczema Monitoring Online trial.

BACKGROUND: Participant recruitment into clinical trials remains challenging. The global increase in the number of social media users has accelerated the use of social media as a modality of recruitment, particularly during the COVID-19 pandemic when traditional recruitment methods were reduced. However, there is limited evidence on the performance of social media recruitment strategies into eczema clinical trials. METHODS: From September 2021 to January 2022, we recruited participants with eczema into an online randomised controlled trial using free advertising on Twitter, Facebook, Instagram and Reddit (unpaid methods), followed by paid Facebook advertisements (paid method). Unpaid methods were used periodically for 63 days, whilst the paid method for 16 days. Interested individuals who clicked on the advertisement link were directed to the study website, where they could sign up to participate. Consenting, randomisation and data collection occurred exclusively online, using a database management web platform. Evaluation of the social media recruitment methods was performed, including the number of expression of interests, enrolment yield, cost, baseline characteristics and retention. RESULTS: Our multi-platform based social media recruitment strategy resulted in 400 expressions of interests, leading to 296 participants. Unpaid methods accounted for 136 (45.9%) of participants, incurring no financial cost. Paid Facebook adverts reached 154,370 individuals, resulting in 123 (41.6%) trial participants for a total cost of £259.93 (£2.11 per participant) and other recruitment methods resulted in 37 (12.5%) enrolments. Paid advertisements predominantly attracted younger participants below the age of 20, whereas unpaid methods mainly drew in participants between 20-29 years of age. The social media platforms recruited an ethnically diverse participant population. Completion rate of follow-up was slightly higher for the paid method (n = 103, 83.7%) compared with the unpaid methods (n = 111, 81.6%). CONCLUSIONS: Unpaid social media posts recruited the most participants; however, it was time consuming for the researcher. Paid Facebook adverts rapidly recruited a large number of participants for a low cost and provided flexibility to target specific audiences. Our findings indicate that social media is an efficient tool that can potentially support recruitment to clinical trials. TRIAL REGISTRATION: ISRCTN45167024. Registered on 29 June 2021.

Representativeness of autistic samples in studies recruiting through social media.

Survey-based research with recruitment through online channels is a convenient way to obtain large samples and has recently been increasingly used in autism research. However, sampling from online channels may be associated with a high risk of sampling bias causing findings not to be generalizable to the autism population. Here we examined autism studies that have sampled on social media for markers of sampling bias. Most samples showed one or more indicators of sampling bias, in the form of reversed sex ratio, higher employment rates, higher education level, lower fraction of individuals with intellectual disability, and later age of diagnosis than would be expected when comparing with for example population study results from published research. Findings from many of the included studies are therefore difficult to generalize to the broader autism population. Suggestions for how research strategies may be adapted to address some of the problems are discussed. LAY SUMMARY: Online surveys offer a convenient way to recruit large numbers of participants for autism research. However, the resulting samples may not fully reflect the autism population. Here we investigated the samples of 36 autism studies that recruited participants online and found that the demographic composition tended to deviate from what has been reported about the autism population in previous research. The results may thus not be generalizable to autism in general.

How well do urology residency program webpages recruit underrepresented minorities?

INTRODUCTION: Historically, the field of medicine has suffered from a lack of diversity. This project examines if urology residency program websites were actively attempting to recruit underrepresented minority applicants with the hypothesis that while some programs would attempt to attract such applicants on their website, the majority would not. MATERIALS AND METHODS: A cross-sectional analysis of program webpages for information regarding underrepresented minorities was performed. Electronic Residency Application Service residency database was used to identify 130 urology residency programs. Three were no longer accepting residents and were not included. The publicly available webpages of 137 urology residency training programs identified were reviewed. RESULTS: Only 26.3% (36) of programs included any information regarding diversity or inclusion on their webpage. The most common references to diversity were a link to a Department of Diversity and Inclusion (28, 20.4%) and information regarding a "commitment to diversity" (28, 20.4%). Only two programs included all seven categories searched for. CONCLUSIONS: Residency program websites may be an important tool to recruit underrepresented minorities and currently there is significant room for improvement. Given that urology is already behind other fields in terms of representation, it is especially important to make an active, visible attempt to recruit underrepresented minorities.

Framework and Practical Guidance for the Ethical Use of Electronic Methods for Communication With Participants in Medical Research.

Online communication with participants, including online recruitment, electronic informed consent, and data communication, is one of the fields to which information and communication technology (ICT) has been applied in medical research. Online communication provides various benefits, especially for genome research and rare disease research. However, ethical challenges that are derived from or exacerbated by online communication need to be addressed. Here, we present an overview of such ethical issues and provide practical guidance for the ethical implementation of ICT. We specify the ethical issues in the context of using online communication for medical research by an analysis based on the eight ethical principles for clinical research. Informed by this ethical context, we then develop a novel framework for the governance of medical research involving ICT, which consists of eight categories: five research processes (ie, design of research, recruitment, informed consent, data communication, and dissemination and return of results) and three overarching perspectives related to multiple processes of research (ie, access to research and online dialog, community involvement, and independent review). Finally, we present a practical guidance chart for researchers, patient partners, independent reviewers, and funding agencies. We believe that our study will contribute to the ethical implementation of online communication in medical research.

Recruiting an underserved, difficult to reach population into a cancer trial: Strategies from the Restore-2 Rehabilitation Trial for gay and bisexual prostate cancer patients.

BACKGROUND/AIMS: Sexual minorities are small and under-researched populations that are at disproportionate risk for cancer and poor cancer outcomes. Described as a "hidden population," the principal research challenge has been to develop effective methods to identify and recruit such cancer patients into cancer studies. Online recruitment strategies, as well as targeted clinic recruitment using patient-entered sexual orientation and gender identity data from electronic medical records have potential to transform recruitment, but studies testing the effects of how to recruit using these have not been published. METHODS: In 2019, we conducted a naturalistic, three-arm, stratified prospective study to compare three recruitment strategies: (a) clinic based recruitment of prostate cancer patients from gay health and urology clinics; (b) directly from the gay community; and (c) online recruitment (through cancer support, sex/dating, and social sites). For each strategy, we estimated time, workload, and direct costs involved. To study how recruitment strategy may affect sampling, we tested for retention rates, demographic and outcome differences across sites. Using these methods, we successfully recruited 401 gay and bisexual prostate cancer patients into a randomized, controlled, 24-month trial testing an online sexual and urinary rehabilitation curriculum tailored for this population. RESULTS: There were seven key results. First, it is possible to recruit substantial numbers of sexual minority men into prostate cancer studies provided online recruitment methods are used. Second, we observed big differences in dropout during study onboarding by recruitment source. Third, within online recruitment, the online sex/dating application (app) was the most successful and efficient, followed by the cancer support site, and then the social networking site. Fourth, while clinics were the cheapest source of recruitment, they were time intensive and low in yield. Fifth, the cancer support site and sex/dating app recruits differed by several characteristics, with the former being more rehabilitation-focused while the latter were younger and more sexually active. Sixth, we found almost no differences in outcomes across the three online recruitment sites. Seventh, because retention in online studies has been a concern, we confirm very low attrition at 3- and 6 months into the trial. CONCLUSION: For sexual minority cancer research, more research on how to use sexual orientation and gender identity electronic medical record data for clinic-based recruitment is needed. For other small or hard-to-reach populations, researchers should compare and publish online versus offline recruitment strategies.

Food for thought: Commentary on Burnette et al. (2021) "Concerns and recommendations for using Amazon MTurk for eating disorder research".

Burnette et al. aimed to validate two eating disorder symptom measures among transgender adults recruited from Mechanical Turk (MTurk). After identifying several data quality issues, Burnette et al. abandoned this aim and instead documented the issues they faced (e.g., demographic misrepresentation, repeat submissions, inconsistent responses across similar questions, failed attention checks). Consequently, Burnette et al. raised concerns about the use of MTurk for psychological research, particularly in an eating disorder context. However, we believe these claims are overstated because they arise from a single study not designed to test MTurk data quality. Further, despite claiming to go "above and beyond" current recommendations, Burnette et al. missed key screening procedures. In particular, they missed procedures known to prevent participants who use commercial data centers (i.e., server farms) to hide their true IP address and complete multiple surveys for financial gain. In this commentary, we outline key screening procedures that allow researchers to obtain quality MTurk data. We also highlight the importance of balancing efforts to increase data quality with efforts to maintain sample diversity. With appropriate screening procedures, which should be preregistered, MTurk remains a viable participant source that requires further validation in an eating disorder context.

Qué hay detrás de LinkedIn? Midiendo a través de rúbricas las LinkedIn Big Four Dimensions / What’s behind LinkedIn? Measuring the LinkedIn Big Four Dimensions through rubrics

LinkedIn es la red social más utilizada en el ámbito profesional para funciones de reclutamiento y selección de personal. Aunque los profesiona-les de Recursos Humanos realizan inferencias sobre los candidatos en base a la información contenida en el perfil de LinkedIn, estas inferenciasno se realizan de forma sistematizada y objetiva. En esta investigación se proponen rúbricas, basadas en el modelo LinkedIn Big Four, como he-rramienta para hacer más sistemáticas y objetivas las inferencias de los profesionales de selección. Para el análisis se utilizó una muestra de pro-fesionales del sector IT (n = 105). Los resultados muestran unos resultados de fiabilidad adecuados a los estándares al uso y una evidencia inicialde validez que relaciona las puntuaciones en las rúbricas con las competencias genéricas de los profesionales.(AU)

LinkedIn is the most used social network in the professional field for recruitment and selection. Although human resources professionals makeinferences about candidates based on the information contained in the LinkedIn profile, these inferences are not made in a systematized or objectiveway. In this research, rubrics, based on the LinkedIn Big Four model, are proposed as a tool to make the inferences of selection professionals moresystematic and objective. A sample of professionals from the IT sector (n = 105) was used. Results show adequate reliability and initial evidence ofvalidity by means of correlation between the rubrics and generic competencies scores.(AU)

A new Algorithm for Detecting Clinical High Risk of Psychosis in Adolescents / Un Nuevo Algoritmo para la Detección del Alto Riesgo Clínico de Psicosis en Adolescentes

Background: The delimitation of the clinical high risk of psychosis (CHRp) is characterized by the wide variety of symptoms assessed from different approaches from the onset of psychosis. This study aimed to create a systematic procedure for an effective and accurate earlydetection of CHRp in educational settings. Method: A representative sample of 1,824 adolescents (average age, 15.79; 53.8%, women) was used to develop an online assessment system and a new 3-track, 3-level algorithm that combines symptoms of the main risk approaches: ultra-high risk (UHR), basic symptoms (BS), and anomalies in the subjective self-experience (ASE) with functional deficit. Results: The acceptability and feasibility of the online screening system were confirmed by the data. Of the total participants, 68 (3.7%) were identified as high-risk and 417 (22.9%) were identified as moderate, which also supports the functionality of the proposed algorithm. Conclusions: The system indicates a dynamic model of progression of the different symptoms in the early stages of psychosis, and it may constitute a first line of identification for severe mental disorders in young people in the earliest stages, allowing application of initial preventive measures.(AU)

Antecedentes: La delimitación del alto riesgo clínico de psicosis (CHRp, por sus siglas en inglés) se caracteriza por la gran variedad de síntomas evaluados desde diferentes enfoques y la dificultad que existe para detectar los estadios clínicos más alejados del inicio de la psicosis. Este estudio tiene como objetivo la creación de un procedimiento sistemático para una detección temprana eficaz y precisa del CHRp en entornos educativos. Método: A partir de una muestra representativa de 1.824 adolescentes (edad, media= 15,79 años; 53,8%, mujeres) se ha desarrollado un sistema de evaluación online y un algoritmo de tres vías y tres niveles de riesgo que combina los síntomas de los principales enfoques de riesgo: ultra-alto riesgo (UHR), síntomas básicos (SB) y anomalías en la autoexperiencia subjetiva (ASE), además del déficit funcional. Resultados: A la luz de los datos obtenidos se han confirmado la aceptabilidad y viabilidad del sistema de cribado online. Del total de participantes, 68 (3,7%) fueron identificados como de alto riesgo y 417 (22,9%) como de riesgo moderado, lo que también avala la funcionalidad del algoritmo propuesto. Conclusiones: El sistema apoya la existencia de un modelo dinámico de progresión de los diferentes síntomas en las primeras etapas de la psicosis, y puede constituir una primera línea de identificación de los trastornos mentales graves en los jóvenes en las etapas más tempranas, de cara a la aplicación de las medidas preventivas iniciales.(AU)

Self-reported Subjective Effects of Analytically Confirmed New Psychoactive Substances Consumed by e-Psychonauts: Protocol for a Longitudinal Study Using a New Internet-Based Methodology.

BACKGROUND: During the last few years, the continuous emergence of new psychoactive substances (NPS) has become an important public health challenge. The use of NPS has been rising in two different ways: buying and consuming NPS knowingly and the presence of NPS in traditional drugs as adulterants. The rise of NPS use is increasing the number of different substances in the market to an extent impossible to study with current scientific methodologies. This has caused a remarkable absence of necessary information about newer drug effects on people who use drugs, mental health professionals, and policy makers. Current scientific methodologies have failed to provide enough data in the timeframe when critical decisions must be made, being not only too slow but also too square. Last but not least, they dramatically lack the high resolution of phenomenological details. OBJECTIVE: This study aims to characterize a population of e-psychonauts and the subjective effects of the NPS they used during the study period using a new, internet-based, fast, and inexpensive methodology. This will allow bridging an evidence gap between online surveys, which do not provide substance confirmation, and clinical trials, which are too slow and expensive to keep up with the new substances appearing every week. METHODS: To cover this purpose, we designed a highly personalized, observational longitudinal study methodology. Participants will be recruited from online communities of people who use NPS, and they will be followed online by means of a continuous objective and qualitative evaluation lasting for at least 1 year. In addition, participants will send samples of the substances they intend to use during that period, so they can be analyzed and matched with the effects they report on the questionnaires. RESULTS: The research protocol was approved by the Institutional Review Board of the Hospital del Mar Research Institute on December 11, 2018. Data collection started in August 2019 and was still ongoing when the protocol was submitted (September 2020). The first data collection period of the study ended in October 2020. Data analysis began in November 2020, and it is still ongoing. The authors expect to submit the first results for publication by the end of 2021. A preliminary analysis was conducted when the manuscript was submitted and was reviewed after it was accepted in February 2021. CONCLUSIONS: It is possible to conduct an institutional review board-approved study using this new methodology and collect the expected data. However, the meaning and usefulness of these data are still unknown. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/24433.

Principles for the production and dissemination of recruitment material for three clinical trials of an online intervention.

Some health research studies recruit participants through electronic mechanisms such as the placement of messages on social media platforms. This raises questions for ethics committee oversight, since effective social media campaigns might involve the production and dissemination of hundreds of contemporaneous messages. For the Narrative Experiences Online (NEON) study, we have developed nine principles to control the production and dissemination of promotional material. These have been approved by an ethics committee and enable the audit of our recruitment work. We propose that the drafting for approval of recruitment principles by health research studies may, in many cases, strike an appropriate balance between enabling ethical oversight of online recruitment work and the potential burden of message review.

Social Media as a Platform for Recruitment to a National Survey During the COVID-19 Pandemic: Feasibility and Cost Analysis.

BACKGROUND: With improved accessibility to social media globally, health researchers are capitalizing on social media platforms to recruit participants for research studies. This has particularly been the case during the COVID-19 pandemic, when researchers were not able to use traditional methods of recruitment. Nevertheless, there is limited evidence on the feasibility of social media for recruiting a national sample. OBJECTIVE: This paper describes the use of social media as a tool for recruiting a national sample of adults to a web-based survey during the COVID-19 pandemic. METHODS: Between August and October 2020, participants were recruited through Facebook via two advertisement campaigns (paid option and no-cost option) into a web-based survey exploring the relationship between social determinants of health and well-being of adults during the COVID-19 pandemic. Data were analyzed using SPSS software and Facebook metrics that were autogenerated by Facebook Ads Manager. Poststratification weights were calculated to match the Australian population on the basis of gender, age, and state or territory based on the 2016 Australian census data. RESULTS: In total, 9594 people were reached nationally with the paid option and potentially 902,000 people were reached through the no-cost option, resulting in a total of 1211 survey responses. The total cost of the advertisement campaign was Aus $649.66 (US $489.23), resulting in an overall cost per click of Aus $0.25 (US $0.19). CONCLUSIONS: Facebook is a feasible and cost-effective method of recruiting participants for a web-based survey, enabling recruitment of population groups that are considered hard to reach or marginalized. Recruitment through Facebook facilitated diversity, with participants varying in socioeconomic status, geographical location, educational attainment, and age.

The feasibility of modified HIV and antiretroviral drug testing using self-collected dried blood spots from men who have sex with men.

BACKGROUND: In the US, one in six men who have sex with men (MSM) with HIV are unaware of their HIV infection. In certain circumstances, access to HIV testing and viral load (VL) monitoring is challenging. The objective of this study was to evaluate the feasibility of conducting laboratory-based HIV and antiretroviral (ARV) drug testing, and VL monitoring as part of two studies on self-collected dried blood spots (DBS). METHODS: Participants were instructed to collect DBS by self-fingerstick in studies that enrolled MSM online. DBS from the first study (N = 1444) were tested with HIV serological assays approved by the Food and Drug Administration (FDA). A subset was further tested with laboratory-modified serological and VL assays, and ARV levels were measured by mass spectrometry. DBS from the second study (N = 74) were only tested to assess VL monitoring. RESULTS: In the first study, the mail back rate of self-collected DBS cards was 62.9%. Ninety percent of DBS cards were received at the laboratory within 2 weeks from the day of collection, and 98% of the cards had sufficient spots for one assay. Concordance between FDA-approved and laboratory-modified protocols was high. The samples with undetectable ARV had higher VL than samples with at least one ARV drug. In the second study, 70.3% participants returned self-collected DBS cards, and all had sufficient spots for VL assay. High VL was observed in samples from participants who reported low ARV adherence. CONCLUSIONS: In these studies, MSM were able to collect and provide adequate DBS for HIV testing. The FDA-approved and laboratory-modified testing algorithms performed similarly. DBS collected at home may be feasible for HIV testing, ARV measurement, and monitoring viral suppression.

Predicting amyloid risk by machine learning algorithms based on the A4 screen data: Application to the Japanese Trial-Ready Cohort study.

BACKGROUND: Selecting cognitively normal elderly individuals with higher risk of brain amyloid deposition is critical to the success of prevention trials for Alzheimer's disease (AD). METHODS: Based on the Anti-Amyloid Treatment in Asymptomatic Alzheimer's Disease study data, we built machine-learning models and applied them to our ongoing Japanese Trial-Ready Cohort (J-TRC) webstudy participants registered within the first 9 months (n = 3081) of launch to predict standard uptake value ratio (SUVr) of amyloid positron emission tomography. RESULTS: Age, family history, online Cognitive Function Instrument and CogState scores were important predictors. In a subgroup of J-TRC webstudy participants with known amyloid status (n = 37), the predicted SUVr corresponded well with the self-reported amyloid test results (area under the curve = 0.806 [0.619-0.992]). DISCUSSION: Our algorithms may be usable for automatic prioritization of candidate participants with higher amyloid risks to be preferentially recruited from the J-TRC webstudy to in-person study, maximizing efficiency for the identification of preclinical AD participants.

Differences in the Gut Microbiome of Women With and Without Hypoactive Sexual Desire Disorder: Case Control Study.

BACKGROUND: The gut microbiome is receiving considerable attention as a potentially modifiable risk factor and therapeutic target for numerous mental and neurological diseases. OBJECTIVE: This study aimed to explore and assess the difference in the composition of gut microbes and fecal metabolites between women with hypoactive sexual desire disorder (HSDD) and healthy controls. METHODS: We employed an online recruitment method to enroll "hard-to-reach" HSDD populations. After a stringent diagnostic and exclusion process based on DSM-IV criteria, fecal samples collected from 24 women with HSDD and 22 age-matched, healthy controls underwent microbiome analysis using 16S ribosomal RNA gene sequencing and metabolome analysis using untargeted liquid chromatography-mass spectrometry. RESULTS: We found a decreased abundance of Ruminococcaceae and increased abundance of Bifidobacterium and Lactobacillus among women with HSDD. Fecal samples from women with HSDD showed significantly altered metabolic signatures compared with healthy controls. The abundance of Bifidobacterium, Lactobacillus, and several fecal metabolites correlated negatively with the sexual desire score, while the number of Ruminococcaceae correlated positively with the sexual desire score in all subjects. CONCLUSIONS: Our analysis of fecal samples from women with HSDD and healthy controls identified significantly different gut microbes and metabolic signatures. These preliminary findings could be useful for developing strategies to adjust the level of human sexual desire by modifying gut microbiota. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR1800020321; http://www.chictr.org.cn/showproj.aspx?proj=34267.