BACKGROUND: Recruiting participants for clinical trials poses challenges. Major barriers to participation include psychological factors (eg, fear and mistrust) and logistical constraints (eg, transportation, cost, and scheduling). The strategic design of clinical trial messaging can help overcome these barriers. While strategic communication can be done through various channels (eg, recruitment advertisements), health care providers on the internet have been found to be key sources for communicating clinical trial information to US adults in the social media era.
OBJECTIVE: This study aims to examine how communication source (ie, medical doctors and peers) and message framing of TikTok videos (ie, psychological and logistical framing) influence clinical trial-related attitudes, perceptions, and sign-up behaviors under the guidance of the integrated behavioral model.
METHODS: This study used a 2 (source: doctor vs peer) × 2 (framing: psychological vs logistical) between-participant factorial design web-based experiment targeting adults in the United States who had never participated in clinical trials (ie, newcomers). A Qualtrics panel was used to recruit and compensate the study respondents (n=561). Participants viewed short-form videos with doctors or peers, using psychological or logistical framing. The main outcome measures included perceived source credibility, self-efficacy, attitude toward clinical trial participation, behavioral intention, and sign-up behavior. Structural equation modeling was used to analyze the direct and indirect effects of message factors on the outcome variables. Source (doctor=1; peer=0) and framing (psychological=1; logistical=0) were dummy-coded.
RESULTS: Doctor-featured messages led to greater perceived source credibility (β=.31, P<.001), leading to greater self-efficacy (95% CI 0.13-0.30), which in turn enhanced behavioral intention (95% CI 0.12-0.29) and clinical trial sign-up behavior (95% CI 0.02-0.04). Logistical barrier-framed messages led to greater self-efficacy (β=-.09, P=.02), resulting in higher intention to participate in clinical trials (95% CI -0.38 to -0.03) and improved sign-up behavior (95% CI -0.06 to -0.004). Logistical barrier-framed messages were also directly associated with an increased likelihood of signing up for a clinical trial (β=-.08, P=.03). The model accounted for 21% of the variance in clinical trial sign-up behavior. Attitude did not significantly affect behavioral intention in this study (β=.08, P=.14), and psychological and logistical barrier-framed messages did not significantly differ in attitudes toward clinical trial participation (β=-.04, P=.09).
CONCLUSIONS: These findings advance our understanding of how people process popular message characteristics in short-form videos and lend practical guidance for communicators. We encourage medical professionals to consider short-form video sites (eg, TikTok and Instagram Reels) as effective tools for discussing clinical trials and participation opportunities. Specifically, featuring doctors discussing efforts to reduce logistical barriers is recommended. Our measuring of actual behavior as an outcome is a rare and noteworthy contribution to this research.

BACKGROUND: Inclusion in public health research of young people from low-income households and those from minority ethnic groups remains low. It is recognised that there is a need to change the way in which research is conducted so that it becomes more inclusive. The aim of this work was to identify novel and innovative ways to maximise recruitment and inclusion of diverse participants when doing co-production within very short time frames for emergency responses.
METHODS: We conducted interviews with young people from low-income and minority ethnic backgrounds, and members or leaders of groups or organisations supporting or representing young people from underserved communities.
RESULTS: A total of 42 participants took part in an interview. This included 30 young people from low income or minority ethnic backgrounds and 12 community leaders/service providers. Of the 30 young people, 26 participants identified as female and 12 participants identified as being from a minority ethnic background. Participants discussed a number of interrelated barriers to research involvement and identified ways in which barriers may be reduced. Prejudice and discrimination experienced by young people from underserved communities has led to substantial mistrust of educational and governmental establishments. Rigid and unfamiliar research practices further limit the involvement of young people. Four themes were identified as ways of supporting involvement, including: making opportunities available for young people, adaptations to research governance, understanding and acknowledging challenges faced by young people, and ensuring reciprocal benefits.
CONCLUSIONS: This research explored barriers to engagement in rapid public health co-production. Working with communities to co-produce rapid recruitment and research procedures to suit the needs and the context in which young people live is necessary.

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Study recruitment of persons with dementia is challenging. We aimed to assess facilitators, barriers, and strategies to identify and approach persons with dementia for recruitment to dementia care studies. We systematically searched MEDLINE/PubMed, CINAHL, Web of Science, and other sources (ORRCA [Online Resource for Research in Clinical triAls]; pertinent evidence syntheses; citation searching) and narratively summarised the results (PROSPERO CRD42022342600). Facilitators and barriers consisted of \"characteristics of participants, researchers, clinical contact persons\", \"study characteristics\", and \"communication with participants\". The highest number of participants were recruited by study information in electronic and print formats, as well as by networking and collaboration. Advertisements proved to be the most expensive way of recruitment. There is limited evidence on the impact of recruitment strategies to identify persons with dementia for recruitment to dementia care studies. Our analysis of facilitators and barriers may inform research teams in designing strategies to identify persons with dementia for recruitment purposes.

Virtual clinical trials (VCTs) are growing in popularity as a tool for quantitatively predicting heterogeneous treatment responses across a population. In the context of a VCT, a plausible patient is an instance of a mathematical model with parameter (or attribute) values chosen to reflect features of the disease and response to treatment for that particular patient. A number of techniques have been introduced to determine the set of model parametrizations to include in a virtual patient cohort. These methodologies generally start with a prior distribution for each model parameter and utilize some criteria to determine whether a parameter set sampled from the priors should be included or excluded from the plausible population. No standard technique exists, however, for generating these prior distributions and choosing the inclusion/exclusion criteria. In this work, we rigorously quantify the impact that VCT design choices have on VCT predictions. Rather than use real data and a complex mathematical model, a spatial model of radiotherapy is used to generate simulated patient data and the mathematical model used to describe the patient data is a two-parameter ordinary differential equations model. This controlled setup allows us to isolate the impact of both the prior distribution and the inclusion/exclusion criteria on both the heterogeneity of plausible populations and on predicted treatment response. We find that the prior distribution, rather than the inclusion/exclusion criteria, has a larger impact on the heterogeneity of the plausible population. Yet, the percent of treatment responders in the plausible population was more sensitive to the inclusion/exclusion criteria utilized. This foundational understanding of the role of virtual clinical trial design should help inform the development of future VCTs that use more complex models and real data.

BACKGROUND: Transgender men (TGM) are underrepresented in genital microbiome research. Our prospective study in Birmingham, AL investigated genital microbiota changes over time in TGM initiating testosterone, including the development of incident bacterial vaginosis (iBV). Here, we present lessons learned from recruitment challenges encountered during the conduct of this study.
METHODS: Inclusion criteria were assigned female sex at birth, TGM or non-binary identity, age ≥18 years, interested in injectable testosterone but willing to wait 7 days after enrollment before starting, and engaged with a testosterone-prescribing provider. Exclusion criteria were recent antibiotic use, HIV/STI infection, current vaginal infection, pregnancy, or past 6 months testosterone use. Recruitment initiatives included community advertisements via flyers, social media posts, and referrals from local gender health clinics.
RESULTS: Between February 2022 and October 2023, 61 individuals contacted the study, 17 (27.9%) completed an in-person screening visit, and 10 (58.8%) of those screened were enrolled. The primary reasons for individuals failing study screening were having limited access to testosterone-prescribing providers, already being on testosterone, being unwilling to wait 7 days to initiate testosterone therapy, or desiring the use of topical testosterone. Engagement of non-White TGM was also minimal.
CONCLUSIONS: Despite robust study inquiry by TGM, screening and enrollment challenges were faced including engagement by TGM not yet in care and specific study eligibility criteria. Excitement among TGM for research representation should be leveraged in future work by engaging transgender community stakeholders at the inception of study development, particularly regarding feasibility of study inclusion and exclusion criteria, as well as recruitment of TGM of color. These results also highlight the need for more clinical resources for prescribing gender-affirming hormone therapy, especially in the Southeastern US.

UNASSIGNED: The under-representativeness of participants in clinical trials limits the generalisability of results. This review evaluates the representative-ness within pharmaceutical randomised controlled trials (RCTs) in Singapore.
UNASSIGNED: Four bibliographic databases were searched for papers on pharmaceutical RCTs which included Singapore adults (≥18 years old), published between 2017 and 2022. The demographic characteristics of study participants were compared against the population in the 2020 Singapore census. Recruitment strategies and authors\' comments on the generalisa-bility of their findings were reviewed.
UNASSIGNED: Thirty-three publications were included (19 Singapore-only studies and 14 multiregional trials which included Singapore). Where data were available, we found that females and Indians were under-represented compared to the census (41.3% versus [vs] 51.1%, P<0.05; 7.3% vs 9.0%, P<0.05). Ethnic diversity varied between individual studies, and almost half (46.2%) of Singapore-only studies achieved census levels. However, more than one-third of the trials provided no data (31.6%) or partial data (5.3%) on ethnicity. Half of the multiregional publications stated the number of participants recruited from Singapore, but only 1 reported any detail beyond Asian participants. Recruitment strategies were mentioned in fewer than half (42.4%), and less than a quarter (24.2%) commented on sample representative-ness or the external validity of the evidence generated.
UNASSIGNED: There is room for improvement regarding the recruitment of RCT participants in Singapore, with particular attention to female gender and Indian ethnicity. Demographic data should also be presented in full. RCTs should be designed and reported such that clinicians can ascertain the generalisability to the Singapore population and the potential benefits from the studied interventions in clinical practice.