Opportunities and counterintuitive challenges for decentralized clinical trials to broaden participant inclusion

Bridging the United States population diversity gaps in clinical research: roadmap to precision health and reducing health disparities

Precision medicine promises improved health outcomes by tailoring treatments to individual genetic and environmental factors. However, achieving this potential is hindered by persistent health disparities and the underrepresentation of racially and ethnically diverse populations in clinical trials. Limited diversity in research exacerbates health inequities, reducing the generalizability of findings and widening gaps in access to effective treatments. This review outlines a multi-faceted strategy to bridge diversity gaps in clinical trials, focusing on community engagement, clinical pharmacology, and regulatory science. Key approaches include decentralized trials, targeted recruitment, advanced data modeling, and comprehensive integration of genetic and social determinants of health data. Regulatory frameworks, such as diversity action plans, play a crucial role in ensuring equitable access to precision health innovations. Increasing representation in research enhances the reliability of clinical data and fosters health equity by addressing differences in disease prevalence, treatment responses, and healthcare access. By leveraging technological advancements and inclusive research methodologies, this framework aims to transform clinical trials into a roadmap for equitable healthcare. Ensuring diverse participation in research is essential for the successful implementation of precision medicine and realizing the full potential of precision health, ultimately reducing health disparities and promoting fair access to medical advancements across all populations.

Brain network alterations in fragile X syndrome

Fragile X syndrome (FXS), caused by FMR1 gene mutations, leads to widespread brain alterations significantly impacting cognition and behaviour. Recent advances have provided a deeper understanding of the neural substrates of FXS. This review provides a comprehensive overview of the current knowledge of neuronal network alterations in FXS. We highlight imaging studies that demonstrate network-level disruptions within resting-state networks, including the default mode network, frontoparietal network, salience network, and basal ganglia network, linked to cognitive, emotional and motor deficits in FXS. Next, we link dysregulated network activity in FXS to molecular studies showing neurometabolic imbalances, particularly in GABAergic and glutamatergic systems. Additionally, gene-brain-behavior correlations are explored with gene expression maps to illustrate regional FMR1 expression patterns tied to clinical symptoms. A graph analysis and meta-analytic mapping further link these dysfunctional networks to the specific symptoms of FXS. We conclude by highlighting gaps in the literature, including the need for greater global collaboration, inclusion of underrepresented populations, and consideration of transdiagnostic effects in future research to advance neuroimaging and therapeutic approaches for FXS.

Diversity in decentralized clinical trials: prioritizing inclusion of underrepresented groups

BACKGROUND

The importance of more diversity of study populations in clinical trials is currently widely acknowledged. Decentralized clinical trial (DCT) approaches are presented as a potential means to broaden diversity by eliminating several barriers to participation. However, the precise meaning of, and objectives related to diversity in DCTs remain unclear. Diversity runs the risk of becoming a 'buzzword': widely acknowledged to be important, yet prone to multiple interpretations and challenging to implement in practice. We argue that the aim of increasing diversity in clinical trials requires clear and well-substantiated specifications.

METHODS

We analyze the concept of diversity and the ethical requirements surrounding fair participant selection within the context of clinical research, in order to further specify and operationalize the aim of increasing diversity in the context of DCTs.

RESULTS

Through analyzing the concept of diversity and ethical requirements for fair participant selection, we propose that diversity should be specified in a way that improves the position of the groups that are currently most underrepresented in the research context. In practice, this entails that, in order to contribute to diversity, the selection of participants should prioritize (i) gaining scientific knowledge on groups for which this is lacking, and (ii) inclusion of underrepresented groups in research when appropriate considering a study's objectives, and risks and benefits.

CONCLUSIONS

Our analysis facilitates translating the aim of increasing diversity with DCTs to more specific and actionable objectives for recruitment and inclusion. Moreover, it contributes to a further specification of the concept of diversity and fair participant selection in research contexts.

Study on knowledge, practices, and attitudes toward decentralized clinical trials among the clinical trial practitioners in China

Background

Studies on the application of decentralized clinical trials (DCTs) in China are limited. This study aimed to investigate the knowledge, practices, and attitudes of clinical trial practitioners in China toward DCTs.

Method

An anonymous cross-sectional study was conducted from November 1st to November 30th, 2023. A total of 621 valid questionnaires were collected, including 227 completed by Clinical Research Associates (CRAs), 150 by Clinical Research Coordinators (CRCs), and 244 by Program Managers (PMs).

Results

The majority of respondents possessed basic knowledge of DCTs and showed a high willingness to participate, but their practice experience was limited, with a relatively high level of practice experience in internet recruitment. Respondents were more interested in the improvement of patients' rights brought by DCTs, such as more opportunities for clinical trials. Technical barriers and data reliability were the main barriers to implementation.

Conclusion

Clinical trial practitioners need to enhance their technical skills and knowledge about DCTs, enhance the overall level of the industry, and promote the better implementation and application of DCTs in China.

Sample-size determination for decentralized clinical trials

BACKGROUND

Decentralized clinical trials (DCTs) are increasingly recognized and utilized in epidemiology studies and drug development. A critical step in designing DCTs is determining the sample size-a topic that is insufficiently covered in the literature. This paper aims to propose a sample-size-calculation method for designing DCTs.

METHODS

A key challenge in analysing DCTs is that data collected onsite and offsite may differ in both variance and mean. The proposed approach employs the weighted z-test to account for such heterogeneity and combines test statistics based on onsite and offsite data. Closed-form sample-size formulas are derived for both cross-sectional studies with independent data and longitudinal or cluster studies with correlated data. The validity of the method is demonstrated by using two examples: cardiovascular disease and pain-management trials.

RESULTS

Our theoretical derivations and numerical studies show that the proposed method enables accurate and robust sample-size determination for DCTs across varying effect sizes, intraclass correlation coefficients for correlated data, variances of onsite and offsite measurements, and ratios of onsite and offsite patients. Compared with the conventional sample-size formula developed for traditional trials involving onsite patients only, the proposed method offers more precise sample-size determination and better preservation of the study power.

CONCLUSION

The proposed method offers an accurate and easy-to-use tool, supported by user-friendly software, for determining sample sizes for DCTs, encompassing both cross-sectional and longitudinal or cluster trials.

Decentralized subject recruitment for a prospective community surveillance system: The influence of social determinants of health on inclusion of minorities in research

Background/Objective

Decentralized research has many advantages; however, little is known about the representativeness of a source population in decentralized studies. We recruited participants aged 18-64 years from four states from June to December 2022 for a prospective cohort study to assess viral epidemiology. Our aim was to determine the association between age, gender, race/ethnicity, rurality, and socioeconomic status (SES) on study participation in a decentralized prospective cohort study.

Methods

We consented 9,286 participants from 231,099 (4.0%) adults with the mean age of 45.6 years (±12.0). We used an electronic decentralized approach for recruitment. Consented participants were more likely to be non-Hispanic White, female, older, urban residents, have more health conditions, and possessed higher socioeconomic status (SES) compared to those non-consented.

Results

We observed an interaction between SES and race-ethnicity on the odds of consent (P = 0.006). Specifically, SES did not affect non-Hispanic white participation rates(OR 1.24 95% CI 1.16 - 1.32] for the highest SES quartile compared to those with the lowest SES quartile) as much as it did participants combined across the other races (OR 1.73; 95% CI 1.45 - 2.98]).

Conclusion

The relationship between SES and consent rates might be disproportionately greater in historically disadvantaged groups, compared to non-Hispanic White. It suggests that instead of focusing on enrollment of specific minority groups in research, there is value in future research exploring and addressing the diversity of barriers to trials within minority groups. Our study highlights that decentralized studies need to address social determinants of health, especially in under-resourced populations.

Geographic disparities in gastrointestinal oncology research: a focus on trial availability in Italy

BACKGROUND

Gastrointestinal cancers pose a significant global health burden, bearing as they do high incidence and mortality rates. Clinical trials in oncology offer numerous advantages as helping to develop new treatments and improve existing ones, leading to better patient outcomes, providing patients with access to cutting-edge therapies that might not otherwise be available and enhancing our understanding of cancer biology.

METHODS

We retrospectively reviewed active interventional clinical trials in Italy in the field of gastrointestinal neoplasms in the period March 1, 2020 and March 1, 2024, by a search on the "clincaltrials.gov" database. The search yielded 103 studies active in Italy. For each study, the Centers in Italy at which they are active were extracted. Studies resulted active in a total of 630 locations.

RESULTS

The data analysis, by a kernel smoothing for probability density estimation, reveals a pronounced clustering of trials in Northern and Central Italy, while the Southern regions and islands exhibit lower trial availability, highlighting disparities in patient access. The mean number of clinical trials per 100 000 inhabitants was calculated. We found that Northern regions show a much higher concentration compared with the Southern regions and islands (North-east 0.92 CTs/100 000 inhabitants vs Islands 0.53 CTs/100 000 inhabitants).

CONCLUSIONS

The uneven distribution does not only limit treatment options for patients in less accessible areas but also raises concerns about the representativeness of trial data. This study underscores the need for targeted strategies to enhance trial accessibility, including decentralized trial models and national databases, to ensure equitable patient participation across Italy.

Smartwatch- and smartphone-based remote assessment of brain health and detection of mild cognitive impairment

Consumer-grade mobile devices are used by billions worldwide. Their ubiquity provides opportunities to robustly capture everyday cognition. 'Intuition' was a remote observational study that enrolled 23,004 US adults, collecting 24 months of longitudinal multimodal data via their iPhones and Apple Watches using a custom research application that captured routine device use, self-reported health information and cognitive assessments. The study objectives were to classify mild cognitive impairment (MCI), characterize cognitive trajectories and develop tools to detect and track cognitive health at scale. The study addresses sources of bias in current cognitive health research, including limited representativeness (for example, racial/ethnic, geographic) and accuracy of cognitive measurement tools. We describe study design and provide baseline cohort characteristics. Next, we present foundational proof-of-concept MCI classification modeling results using interactive cognitive assessment data. Initial findings support the reliability and validity of remote MCI detection and the usefulness of such data in describing at-risk cognitive health trajectories in demographically diverse aging populations. ClinicalTrials.gov identifier: NCT05058950 .

Pharmacogenomics and rare diseases: optimizing drug development and personalized therapeutics

Pharmacogenomics (PGx) is an evolving field that integrates genetic information into clinical decision-making to optimize drug therapy and minimize adverse drug reactions (ADRs). Its application in rare disease (RD) drug development is promising, given the genetic basis of many RDs and the need for precision medicine approaches. Despite significant advancements, challenges persist in developing effective therapies for RDs due to small patient populations, genetic heterogeneity, and limited surrogate biomarkers. The Orphan Drug Act in the U.S. has incentivized RD drug development. However, the traditional drug approval process is constrained by logistical and economic challenges, necessitating innovative PGx-driven strategies. Identifying genetic biomarkers in the early drug development stages can optimize dose selection, enhance therapeutic efficacy, and reduce ADRs. Case studies such as eliglustat for Gaucher disease and ivacaftor for cystic fibrosis demonstrate the efficacy of PGx-guided treatment strategies. Integrating PGx into global drug development requires the harmonization of regulatory policies and increased diversity in genetic research. Artificial intelligence (AI) tools further enhance genetic analysis, disease prediction, and clinical decision-making. Modernizing drug labeling with PGx information is critical to ensuring safe and effective drug use. Collectively, PGx offers transformative potential in RD therapeutics by facilitating personalized medicine approaches and addressing unmet medical needs.

Augmenting clinical trials in asthma through digital technology, decentralised designs, and person-centric endpoints: opportunities and challenges

Digital technologies (eg, smart inhalers, wearables, and sensors) allow for remote, objective, granular, and non-invasive data collection, making them attractive for research evaluating interventions in airways diseases with variable trajectories, such as asthma. Such technologies offer the opportunity to move towards decentralised clinical trials that are done partly or fully outside the classic clinical trial setting and are characterised by remote data collection and monitoring. This approach to evaluating clinical, pharmacological, or behavioural interventions could facilitate recruitment of inclusive and generalisable study populations, enhance personalisation and sustainability, reduce research costs, and accelerate the timeline to novel asthma treatments' market access. This Personal View discusses the application of digital technologies and endpoints within trials; the concept of hybrid and decentralised designs; describes a fully decentralised trial in asthma; and explores the strengths, weaknesses, opportunities, and threats regarding their implementation from the clinician, patient expert, low-resource, and regulator viewpoints.

Decentralized Clinical Trials in the Era of Real-World Evidence: A Statistical Perspective

There has been a growing trend that activities relating to clinical trials take place at locations other than traditional trial sites (hence decentralized clinical trials or DCTs), some of which are at settings of real-world clinical practice. Although there are numerous benefits of DCTs, this also brings some implications on a number of issues relating to the design, conduct, and analysis of DCTs. The Real-World Evidence Scientific Working Group of the American Statistical Association Biopharmaceutical Section has been reviewing the field of DCTs and provides in this paper considerations for decentralized trials from a statistical perspective. This paper first discusses selected critical decentralized elements that may have statistical implications on the trial and then summarizes regulatory guidance, framework, and initiatives on DCTs. More discussions are presented by focusing on the design (including construction of estimand), implementation, statistical analysis plan (including missing data handling), and reporting of safety events. Some additional considerations (e.g., ethical considerations, technology infrastructure, study oversight, data security and privacy, and regulatory compliance) are also briefly discussed. This paper is intended to provide statistical considerations for decentralized trials of medical products to support regulatory decision-making.

The impact of operational trial approaches on representativeness: Comparison of decentralized clinical trial participants, conventional trial participants, and patients in daily practice

Decentralized clinical trial (DCT) approaches - in which trial activities are conducted at participants' homes - have the potential to improve representativeness. We present a study that compared the demographics and cardiovascular risk factors of participants from a DCT (ASCEND) and a conventional trial with a similar trial objective (POPADAD) to those of patients in daily practice. We adjudicate that there are relevant differences when comparing the participants of the conventional trial and the DCT, with the latter providing better representativeness in terms of age, insulin use, smoking status, and body mass index, whereas conventional trial participants were more representative in terms of biological sex. Differences in these characteristics were not explained by the eligibility criteria, but are considered attributable to the operational trial approach.

Recruitment and Retention for an Acupuncture Trial in an Underrepresented 65 and Older Population With Chronic Low Back Pain

Background

The consequences of health disparities in underrepresented populations persist with increased disease burden and reduced access to care. Even with inclusion mandates, underserved populations are poorly represented across trials. This article describes recruitment and retention efforts of an underrepresented population in a large NIH-funded trial.

Methods

The BackInAction (BIA) study is a pragmatic, multi-site, three-arm, parallel-groups randomized controlled trial testing the effectiveness of acupuncture needling for reducing back pain-related disability among 800 older adults (≥65 years) with chronic low back pain. The Institute for Family Health (IFH), an FQHC in New York City, one of four BIA sites, provides primary care to largely underrepresented patients. The IFH recruitment goal was 123 participants. PCPs were oriented to trial referral, clinical research coordinators worked as navigators, and electronic health records (EHR) mechanisms were adapted to allow seamless communication between trial acupuncturists and the research team.

Results

IFH met its goal of 123 trial participants with sociodemographic (22.8% ≥ 75 yrs of age, 72.4% female, 59.4% reported having at least some college education, 62.6% reported an annual household income of less than $25 000) and ethnic/racial diversity (39.0% Hispanic, 35.6% Black, 22.0% White non-Hispanic, 26.8% Spanish-speaking). IFH study withdrawal rate was 12.2% with 18.7% missingness in follow-up data rates at the trial's 6-month primary endpoint.

Conclusion

The IFH site team successfully recruited and retained diverse participants through trusted connections with the study population, building on experience with acupuncture research, engaging PCPs, study team members, primary care clinical sites and EHR communication options.

Assessing Artificial Intelligence Solution Effectiveness: The Role of Pragmatic Trials

The emergence of artificial intelligence (AI) and other digital solutions in health care has considerably altered the landscape of medical research and patient care. Rigorous evaluation in routine practice settings is fundamental to the ethical use of AI and consists of 3 stages of evaluations: technical performance, usability and acceptability, and health impact evaluation. Pragmatic trials often play a key role in the health impact evaluation. The current review introduces the concept of pragmatic trials, their role in AI evaluation, the challenges of conducting pragmatic trials, and strategies to mitigate the challenges. We also examined common designs used in pragmatic trials and highlighted examples of published or ongoing AI trials. As more health systems advance into learning health systems, where outcomes are continuously evaluated to refine processes and tools, pragmatic trials embedded into everyday practice, leveraging data and infrastructure from delivering health care, will be a critical part of the feedback cycle for learning and improvement.

Artificial intelligence: Applications in cardio-oncology and potential impact on racial disparities

Numerous cancer therapies have detrimental cardiovascular effects on cancer survivors. Cardiovascular toxicity can span the course of cancer treatment and is influenced by several factors. To mitigate these risks, cardio-oncology has evolved, with an emphasis on prevention and treatment of cardiovascular complications resulting from the presence of cancer and cancer therapy. Artificial intelligence (AI) holds multifaceted potential to enhance cardio-oncologic outcomes. AI algorithms are currently utilizing clinical data input to identify patients at risk for cardiac complications. Additional application opportunities for AI in cardio-oncology involve multimodal cardiovascular imaging, where algorithms can also utilize imaging input to generate predictive risk profiles for cancer patients. The impact of AI extends to digital health tools, playing a pivotal role in the development of digital platforms and wearable technologies. Multidisciplinary teams have been formed to implement and evaluate the efficacy of these technologies, assessing AI-driven clinical decision support tools. Other avenues similarly support practical application of AI in clinical practice, such as incorporation into electronic health records (EHRs) to detect patients at risk for cardiovascular diseases. While these AI applications may help improve preventive measures and facilitate tailored treatment to patients, they are also capable of perpetuating and exacerbating healthcare disparities, if trained on limited, homogenous datasets. However, if trained and operated appropriately, AI holds substantial promise in positively influencing clinical practice in cardio-oncology. In this review, we explore the impact of AI on cardio-oncology care, particularly regarding predicting cardiotoxicity from cancer treatments, while addressing racial and ethnic biases in algorithmic implementation.

Bridging the Gap: How Accounting for Social Determinants of Health Can Improve Digital Health Equity in Cardiovascular Medicine

PURPOSE OF REVIEW

In this review, we discuss the importance of digital health equity and how social determinants of health (and intersectionality with race, ethnicity, and gender) affect cardiovascular health-related outcomes in digital health trials. We propose strategies to improve digital health equity as we move to a digitally-connected world for healthcare applications and beyond.

RECENT FINDINGS

Digital health has immense promise to improve population health by reaching individuals in their homes, at their preferred times. However, initial data demonstrate decreased patient engagement and worse cardiovascular outcomes for racial and ethnic minorities, leading to unequal uptake of digital health technologies. In addition, while women generally have higher uptake of technology, they are less likely to be referred by clinicians for digital health interventions. We highlight several exemplar trials and analyze their methodology for replication in future digital health research. The promise of digital health equity has not been reached due to exclusionary practices. Specific focus must be placed on societal/governmental policies that enable digital inclusion, particularly of racial and ethnic minority populations and women, to ensure that the expansion of digital health technologies does not exacerbate existing health disparities.

Regulatory readiness to facilitate the appropriate use of innovation in clinical trials: The case of decentralized clinical trial approaches

Methodological and operational clinical trial innovation is needed to address key challenges associated with clinical trials, including limited generalizability and (s)low recruitment rates. In this article, we discuss how appropriate implementation of innovative clinical trial approaches can be facilitated by a timely identification of, and response to, emerging situations and innovation by regulators (i.e. regulatory readiness) using decentralized clinical trial (DCT) approaches - in which trial activities are moved closer to participants and away from the investigative sites - as a case study example. Specifically, we discuss how explorative research (e.g. using regulatory sandboxes) can enable the collection of data on the usefulness of DCT approaches. Additionally, we argue that DCT approaches should be evaluated similarly to conventional clinical trials.

A comprehensive analysis of health care Inequities in randomized clinical trials following bariatric surgeries

BACKGROUND

Obesity is a global epidemic, leading to an increasing focus on interventions like bariatric surgeries. Despite this, there's a noticeable gap in understanding the demographic distribution of patients in clinical trials for bariatric surgery.

METHODS

We conducted a comprehensive analysis of 117 registered randomized clinical trials related to bariatric surgery on ClinicalTrials.gov. We extracted demographic information, including age, sex, race, and ethnicity, and performed descriptive statistical analyses.

RESULTS

The analysis covered 8,418 participants. The mean age was 43.8 years, with a substantial majority (93.8 ​%) falling within the 18-65 age group. Females comprised 74.9 ​% of participants, surpassing real-world estimates. Racially, 65.3 ​% of participants were White, while African Americans represented 18.5 ​%, Asians 1.2 ​%, Native Hawaiians 0.2 ​%, and American Indians 0.1 ​%, indicating an underrepresentation of diverse racial groups, notably lower compared to real-world demographic data. In terms of ethnicity, only 17.6 ​% were Hispanic.

CONCLUSIONS

This study reveals significant demographic disparities in patients undergoing bariatric surgeries in clinical trials. This suggests a lack of generalizability, emphasizing the need for inclusive recruitment strategies to enhance health equity.

Recommendations to promote equity, diversity and inclusion in decentralized clinical trials

Decentralized clinical trials involving the use of digital tools to facilitate remote research are gaining momentum. Rapid advancements in digital technologies have supported the adoption of these trials. These innovations facilitate virtual interactions between clinical trial teams and participants by making it easier to collect, transfer and store electronic data. While some studies have demonstrated the potential for these approaches to reduce barriers to clinical trial participation, they are associated with several challenges that may create or worsen existing health inequalities and limit the generalizability of trial results. Here we review the potential for digitally enabled and decentralized clinical trials to enhance clinical trial participation in an equitable manner. We describe the key barriers individuals from underserved groups may face, and provide recommendations to promote equity, diversity and inclusion.

Internet-based enrollment of a myositis patient cohort-a national experience

INTRODUCTION

Recruitment for idiopathic inflammatory myopathies (IIM) research is a challenge due to the rarity of the disease and the scarcity of specialized myositis centers. Online recruitment may be a feasible alternative to reach rare disease patients. We evaluated various online recruitment methods in a large longitudinal IIM cohort.

METHODS

The "Myositis Patient Centered Tele-Research" (My Pacer) is a prospective 6-month observational study of IIM, recruited online and through traditional clinic visits. We utilized diverse recruitment methods, such as physician referrals, social media, websites, direct emails, and partnerships with patient-support organizations. Participants self-enrolled and completed pre-screening, e-consenting, and release of medical information via the study-specific app or website. We compared the effectiveness of various recruitment and enrollment methods and the characteristics of the population recruited.

RESULTS

A total of 841 participants completed the pre-screening; 408 completed e-consent and registration. From those, 353 (86.5%) were remotely recruited. Email (201; 49.26%) and social media (77; 18.87%) were important recruitment tools. Patient-support organizations were responsible for disseminating the study to 312 (75.46%) participants. The study app was used by 232 (65.72%) individuals for enrollment, with app users being slightly younger than website users (p = 0.001). Participants were mostly female 317 (77.76%), mean age of 54.84 years, White 328 (80.42%), Black 49 (12%), Asian 13 (3.26%), and non-Hispanic 378 (92.65%). Our study reached all U.S. regions and 45 (90%) U.S. states.

CONCLUSIONS

Social media and partnerships with patient-support organizations lead to a high rate of recruitment, with a wide reach, and a reasonably diverse population.

Cutaneous Neurofibromas and Quality of Life in Adults With Neurofibromatosis Type 1

Importance

There is a burgeoning interest in therapeutic development for cutaneous neurofibromas (cNFs), a major cause of morbidity in persons with neurofibromatosis type 1 (NF1). To determine meaningful clinical trial outcomes, deeper understanding is needed regarding how cNFs are associated with quality of life (QoL). However, this understanding has been hampered by challenges in recruiting participants with this rare genetic disease.

Objective

To develop a large, crowdsourced validated registry of persons with NF1 and determine the association of specific cNF features with QoL, pain, and itch.

Design, Setting, and Participants

From May 2021 to December 2023, a decentralized platform was developed and recruited persons 40 years or older with NF1 and at least 1 cNF from 49 states and 12 countries, who provided clinical survey data, detailed photographs, and genetic sequencing data. Photographs from 583 participants were scored on 12 features of cNFs, including general severity, number, size, facial severity, color, and subtypes.

Exposure

cNF features derived from participant-supplied photographs.

Main Outcomes and Measures

Total Skindex scores and subdomain scores (symptoms, emotion, function, pain, and itch).

Results

Of 583 participants, 384 (65.9%) were female, and the mean (range) age was 51.7 (40.0-83.0) years. Female sex, general severity, number, size, and facial severity of cNFs were negatively associated with QoL, as demonstrated by increased total Skindex scores. QoL had the largest association with the number of cNFs and presence of facial cNFs. Increasing number of cNFs was associated with worse QoL, and even individuals with a low cNF burden (<10 total cNFs) experienced a decrease in QoL.

Conclusions and Relevance

The results of this study suggest that reducing cNF number, particularly on the face, may be associated with improved QoL in individuals with NF1. In addition, early intervention before the development of numerous tumors may lead to the highest benefit in QoL. These data potentially provide insight into which individuals and cNF tumors may benefit most from therapy and highlights the utility of a completely decentralized, photograph-validated and age-controlled study for rare genetic disease. This cohort will allow analysis of disease and tumor heterogeneity after full phenotypic expression is achieved in NF1 and potentially serves as an example in its design for other rare diseases that struggle from poor recruitment.

Key considerations for digital decentralised clinical trials from a feasibility study assessing pacing interventions for long COVID

Post COVID-19 condition or long COVID is highly prevalent and often debilitating, with key symptoms including fatigue, breathlessness, and brain fog. There is currently a lack of evidence-based treatments for this highly complex syndrome. There is a need for clinical trial platforms to rapidly evaluate nonpharmacological treatments to support affected individuals with symptom management. We co-produced a mixed methods feasibility study to evaluate a multi-arm digital decentralised clinical trial (DCT) platform to assess non-pharmacological interventions for Long COVID, using pacing interventions as an exemplar. The study demonstrated that the platform was able to successfully e-consent participants, randomise them into one of four intervention arms, capture baseline data, and capture outcomes relevant to a health economic evaluation. The study also highlighted several challenges, including difficulties with recruitment, imposter participants, and high attrition rates. We highlight how these challenges can potentially be mitigated to make a fully powered DCT more feasible.

Mediators of racial and ethnic inequities in clinical trial participation among patients with cancer, 2011-2023

BACKGROUND

Although racially and ethnically minoritized populations are less likely to participate in cancer trials, it is unknown whether social determinants of health (SDOH) explain these inequities. Here we identify SDOH factors that contribute to racial and ethnic inequities in clinical trial participation among patients with 22 common cancers.

METHODS

This retrospective cohort study used electronic health record data (2011-2023) linked to neighborhood (US Census tract) data from multiple sources. Patients were followed from diagnosis to clinical study drug receipt (proxy for trial participation), death, or last recorded activity. Associations were assessed using Cox proportional hazards models adjusted for clinical factors (year of diagnosis, age, sex, performance status, disease stage, cancer type). To elucidate which area-level SDOH underlie racial and ethnic inequities, mediation analysis was performed using nonlinear multiple additive regression tree models.

RESULTS

This study included 250 105 patients (64.7% non-Latinx White, 8.9% non-Latinx Black, 5.2% Latinx). Black and Latinx patients were more likely to live in economically or socially marginalized areas (eg, disproportionately minoritized [measure of segregation], limited English proficiency, low vehicle ownership) than White patients. Black (3.7%; hazard ratio = 0.55, 95% confidence interval [CI] = 0.52 to 0.60) and Latinx patients (4.4%; hazard ratio = 0.63, 95% CI = 0.58 to 0.69) were less likely to participate in trials than White patients (6.3%). Fewer patients in economically or socially marginalized neighborhoods participated in trials. Mediators explained 62.2% (95% CI = 49.5% to 74.8%) of participation inequities between Black and White patients; area-level SDOH-including segregation (29.9%, 95% CI = 21.2% to 38.6%) and vehicle ownership (11.6%, 95% CI = 7.0% to 16.1%)-were the most important mediators. Similarly, Latinx-White participation inequities were mediated (65.1%, 95% CI = 49.8% to 80.3%) by area-level SDOH, such as segregation (39.8%, 95% CI = 28.3% to 51.3%), limited English proficiency (11.6%, 95% CI = 2.8% to 20.4%), and vehicle ownership (9.6%, 95% CI = 5.8% to 13.5%).

CONCLUSIONS

To improve racial and ethnic diversity in cancer trials, efforts to address barriers related to adverse neighborhood SDOH factors are necessary.

Patient and Public Perceptions in Canada About Decentralized and Hybrid Clinical Trials: "It's About Time we Bring Trials to People"

BACKGROUND

Little is known about patient and the public perspectives on decentralized and hybrid clinical trials in Canada.

METHODS

We conducted an online survey (English and French) promoted on social media to understand perspectives of people in Canada about decentralized and hybrid clinical trials. The survey had two sections. We co-produced this project entirely with patient, caregiver, and family partners.

RESULTS

The survey had 284 (14 French) individuals who started or completed Section 1, and 180 (16 French) individuals who started or completed Section 2. People prefer to have options to participate in clinical trials where aspects are decentralized or hybridized. 79% of respondents preferred to have options related to study visits. There were concerns about handling adverse events or potential complications in decentralized trials, however, communication options such as a dedicated contact person for participants was deemed helpful. Most respondents were amenable to informed consent being done at a satellite site closer to home or via technology and were split on privacy concerns about this. Most preferred travel to a site within an hour, depending on what the trial was for or its impact on quality of life. Due to the response rate, we were unable to explore associations with gender, age, health status, geography, ethnicity, and prior clinical trial participation.

CONCLUSION

Our findings indicate an openness in Canada to participating in trials that decentralize or hybridize some aspects. These trials are perceived to provide benefits to participants and ways to increase equity and accessibility for participants.

Telehealth mindful exercise for people with knee osteoarthritis: A decentralized feasibility randomized controlled trial

Objective

Negative psychological beliefs like fear avoidance and catastrophizing can interfere with exercise engagement in people with knee osteoarthritis (OA). Mindfulness, when integrated with exercise, could potentially address both psychological and physical impairments. Our objectives were to optimize and assess the feasibility of a novel telehealth, group-based mindful exercise intervention for people with knee OA.

Methods

We conducted a decentralized randomized controlled trial where participants (n ​= ​40) with symptomatic knee OA were randomized into mindful exercise (n ​= ​21) or exercise-only (n ​= ​19) groups. Both groups received supervised group-based interventions weekly for 8-weeks via Zoom. Primary outcomes were safety, fidelity, and feasibility of the mindful exercise intervention. Participants completed patient-reported outcomes (PRO) for pain, function, and psychological measures at baseline, week-8, and week-14.

Results

Participants were from 21 US states; >90% identified as having White race, 16% were from rural areas, and approximately 40% had an annual income < $50,000. At 8-weeks, mindful exercise and exercise groups had retention rates of 86% (18/21) and 100% (19/19), and attendance was 54% (11.4/21) and 68% (13/19) respectively. There were no adverse events in the mindful exercise group and four in the exercise group related to exacerbation of knee pain. Preliminary findings showed numerically larger improvements in several PROs for the mindful exercise group.

Conclusion

An 8-week telehealth, group-based, mindful exercise intervention was safe for people with knee OA. Our decentralized approach was feasible in terms of recruitment and retention. Further refinement is needed to improve intervention attendance and participant diversity.

Application of Virtual Drug Study to New Drug Research and Development: Challenges and Opportunity

In recent years, virtual drug study, as an emerging research strategy, has become increasingly important in guiding and promoting new drug research and development. Researchers can integrate a variety of technical methods to improve the efficiency of all phases of new drug research and development, including the use of artificial intelligence, modeling and simulation for target identification, compound screening and pharmacokinetic characteristics evaluation, and the application of clinical trial simulation to carry out clinical research. This paper aims to elaborate on the application of virtual drug study in the key stages of new drug research and development and discuss the opportunities and challenges it faces in supporting new drug research and development.

The value of decentralized clinical trials: Inclusion, accessibility, and innovation

In this Review, we explore the transformative potential of decentralized clinical trials (DCTs) in addressing the limitations of traditional randomized controlled trials (RCTs). We highlight the merits of DCTs fostering greater inclusivity, efficiency, and adaptability. We emphasize the challenges of RCTs, including limited participant diversity and logistical barriers, geographical constraints, and mistrust in research institutions, showing how DCTs are preferred in addressing these challenges by utilizing remote digital technologies and community providers to enable broader, more inclusive participation. Furthermore, we underscore the potential of DCTs for democratizing clinical research. We also stress the importance of addressing unresolved challenges, including data security and privacy, remote patient monitoring, and regulatory variations. Research is needed to devise standardized protocols to streamline DCT processes, explore its long-term impacts on patient outcomes, and overcome challenges through equitable stakeholder engagement.

Decentralized Clinical Trials in Early Drug Development-A Framework Proposal

The COVID-19 pandemic has led to a rethinking of clinical trial design to maintain clinical research activity, with regulatory changes allowing for the wider implementation and development of decentralized design models. Evidence of the feasibility and benefits associated with a remote design comes mainly from observational studies or phase 2 and 3 clinical trials, in which implementation is easier with a better-established safety profile. Early drug development is a slow and expensive process in which accrual and safety are key aspects of success. Applying a decentralized model to phase 1 clinical trials could improve patient accrual by removing geographic barriers, improving patient population diversity, strengthening evidence for rare tumors, and reducing patients' financial and logistical burdens. However, safety monitoring, data quality, shipment, and administration of the investigational product are challenges to its implementation. Based on published data for decentralized clinical trials, we propose an exploratory framework of solutions to enable the conceptualization of a decentralized model for phase 1 clinical trials.

Artificial intelligence detection of cognitive impairment in older adults during walking

INTRODUCTION

To detect early cognitive impairment in community-dwelling older adults, this study explored the viability of artificial intelligence (AI)-assisted linear acceleration and angular velocity analysis during walking.

METHODS

This cross-sectional study included 879 participants without dementia (female, 60.6%; mean age, 73.5 years) from the 2011 Comprehensive Gerontology Survey. Sensors attached to the pelvis and left ankle recorded the triaxial linear acceleration and angular velocity while the participants walked at a comfortable speed. Cognitive impairment was determined using Mini-Mental State Examination scores. Deep learning models were used to discern the linear acceleration and angular velocity data of 12,302 walking strides.

RESULTS

The models' average sensitivity, specificity, and area under the curve were 0.961, 0.643, and 0.833, respectively, across 30 testing datasets.

DISCUSSION

AI-enabled gait analysis can be used to detect signs of cognitive impairment. Integrating this AI model into smartphones may help detect dementia early, facilitating better prevention.

Highlights

Artificial intelligence (AI)-enabled gait analysis can be used to detect the early signs of cognitive decline.This AI model was constructed using data from a community-dwelling cohort.AI-assisted linear acceleration and angular velocity analysis during gait was used.The model may help in early detection of dementia.

Treatment options for patients with pilonidal sinus disease: PITSTOP, a mixed-methods evaluation

Background

There is no consensus on optimal management of pilonidal disease. Surgical practice is varied, and existing literature is mainly single-centre cohort studies of varied disease severity, interventions and outcome assessments.

Objectives

A prospective cohort study to determine: • disease severity and intervention relationship • most valued outcomes and treatment preference by patients • recommendations for policy and future research.

Design

Observational cohort study with nested mixed-methods case study. Discrete choice experiment. Clinician survey. Three-stage Delphi survey for patients and clinicians. Inter-rater reliability of classification system.

Setting

Thirty-one National Health Service trusts.

Participants

Patients aged > 16 years referred for elective surgical treatment of pilonidal disease.

Interventions

Surgery.

Main outcome measures

Pain postoperative days 1 and 7, time to healing and return to normal activities, complications, recurrence. Outcomes compared between major and minor procedures using regression modelling, propensity score-based approaches and augmented inverse probability weighting to account for measured potential confounding features.

Results

Clinician survey: There was significant heterogeneity in surgeon practice preference. Limited training opportunities may impede efforts to improve practice. Cohort study: Over half of patients (60%; N = 667) had a major procedure. For these procedures, pain was greater on day 1 and day 7 (mean difference day 1 pain 1.58 points, 95% confidence interval 1.14 to 2.01 points, n = 536; mean difference day 7 pain 1.53 points, 95% confidence interval 1.12 to 1.95 points, n = 512). There were higher complication rates (adjusted risk difference 17.5%, 95% confidence interval 9.1 to 25.9%, n = 579), lower recurrence (adjusted risk difference -10.1%, 95% confidence interval -18.1 to -2.1%, n = 575), and longer time to healing (>34 days estimated difference) and time to return to normal activities (difference 25.9 days, 95% confidence interval 18.4 to 33.4 days). Mixed-methods analysis: Patient decision-making was influenced by prior experience of disease and anticipated recovery time. The burden involved in wound care and the gap between expected and actual time for recovery were the principal reasons given for decision regret. Discrete choice experiment: The strongest predictors of patient treatment choice were risk of infection/persistence (attribute importance 70%), and shorter recovery time (attribute importance 30%). Patients were willing to trade off these attributes. Those aged over 30 years had a higher risk tolerance (22.35-34.67%) for treatment failure if they could experience rapid recovery. There was no strong evidence that younger patients were willing to accept higher risk of treatment failure in exchange for a faster recovery. Patients were uniform in rejecting excision-and-leave-open because of the protracted nursing care it entailed. Wysocki classification analysis: There was acceptable inter-rater agreement (κ = 0.52, 95% confidence interval 0.42 to 0.61). Consensus exercise: Five research and practice priorities were identified. The top research priority was that a comparative trial should broadly group interventions. The top practice priority was that any interventions should be less disruptive than the disease itself.

Limitations

Incomplete recruitment and follow-up data were an issue, particularly given the multiple interventions. Assumptions were made regarding risk adjustment.

Conclusions and future work

Results suggest the burden of pilonidal surgery is greater than reported previously. This can be mitigated with better selection of intervention according to disease type and patient desired goals. Results indicate a framework for future higher-quality trials that stratify disease and utilise broad groupings of common interventions with development of a patient-centred core outcome set.

Trial registration

This trial is registered as ISRCTN95551898.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/17/02) and is published in full in Health Technology Assessment; Vol. 28, No. 33. See the NIHR Funding and Awards website for further award information.

Decentralized clinical trials for medications to reduce the risk of dementia: Consensus report and guidance

INTRODUCTION

Recent growth in the functionality and use of technology has prompted an increased interest in the potential for remote or decentralized clinical trials in dementia. There are many potential benefits associated with decentralized medication trials, but we currently lack specific recommendations for their delivery in the dementia field.

METHODS

A modified Delphi method engaged an expert panel to develop recommendations for the conduct of decentralized medication trials in dementia prevention. A working group of researchers and clinicians with expertise in dementia trials further refined the recommendations.

RESULTS

Overall, the recommendations support the delivery of decentralized trials in dementia prevention provided adequate safety checks and balances are included. A total of 40 recommendations are presented, spanning aspects of decentralized clinical trials, including safety, dispensing, outcome assessment, and data collection.

DISCUSSION

These recommendations provide an accessible, pragmatic guide for the design and conduct of remote medication trials for dementia prevention.

HIGHLIGHTS

Clinical trials of medication have begun adopting decentralized approaches. Researchers in the field lack guidance on what would be appropriate circumstances and frameworks for what would be appropriate circumstances and frameworks for the use of decentralized trial methods in dementia prevention. The present report provides consensus-based expert recommendations for decentralized clinical trials for dementia prevention.

Stakeholder perspectives on contributors to delayed and inaccurate diagnosis of cardiovascular disease and their implications for digital health technologies: a UK-based qualitative study

OBJECTIVE

The aim of this study is to understand stakeholder experiences of diagnosis of cardiovascular disease (CVD) to support the development of technological solutions that meet current needs. Specifically, we aimed to identify challenges in the process of diagnosing CVD, to identify discrepancies between patient and clinician experiences of CVD diagnosis, and to identify the requirements of future health technology solutions intended to improve CVD diagnosis.

DESIGN

Semistructured focus groups and one-to-one interviews to generate qualitative data that were subjected to thematic analysis.

PARTICIPANTS

UK-based individuals (N=32) with lived experience of diagnosis of CVD (n=23) and clinicians with experience in diagnosing CVD (n=9).

RESULTS

We identified four key themes related to delayed or inaccurate diagnosis of CVD: symptom interpretation, patient characteristics, patient-clinician interactions and systemic challenges. Subthemes from each are discussed in depth. Challenges related to time and communication were greatest for both stakeholder groups; however, there were differences in other areas, for example, patient experiences highlighted difficulties with the psychological aspects of diagnosis and interpreting ambiguous symptoms, while clinicians emphasised the role of individual patient differences and the lack of rapport in contributing to delays or inaccurate diagnosis.

CONCLUSIONS

Our findings highlight key considerations when developing digital technologies that seek to improve the efficiency and accuracy of diagnosis of CVD.

E-Health & Innovation to Overcome Barriers in Neuromuscular Diseases. Report from the 3rd eNMD Congress: Pisa, Italy, 29-30 October 2021: Remote Monitoring: New Solutions for New Avenues in Neuromuscular Disorders

Neuromuscular diseases (NMDs), in their phenotypic heterogeneity, share quite invariably common issues that involve several clinical and socio-economical aspects, needing a deep critical analysis to develop better management strategies. From diagnosis to treatment and follow-up, the development of technological solutions can improve the detection of several critical aspects related to the diseases, addressing both the met and unmet needs of clinicians and patients. Among several aspects of the digital transformation of health and care, this congress expands what has been learned from previous congresses editions on applicability and usefulness of technological solutions in NMDs. In particular the focus on new solutions for remote monitoring provide valuable insights to increase disease-specific knowledge and trigger prompt decision-making. In doing that, several perspectives from different areas of expertise were shared and discussed, pointing out strengths and weaknesses on the current state of the art on topic, suggesting new research lines to advance technology in this specific clinical field.

A global pilot comparative, cross-sectional study of clinical research nurses/research midwives: Definition, knowledge base, and communication skills related to the conduct of decentralized clinical trials

Background

A gap in the literature exists pertaining to a global research nurse/research midwife resources and communication skill set necessary to engage with participants of diverse populations and geographic regions in the community or home-based conduct of decentralized clinical trials.

Aims

An embedded mixed methods study was conducted to examine research nurse/research midwife knowledge base, experiences, and communication skill sets pertaining to decentralized trials across global regions engaged in remote research: the USA, Republic of Ireland, United Kingdom, and Australia.

Methods

An online survey was deployed across international research nurse/research midwife stakeholder groups, collecting demographics, decentralized trial experience, barriers and facilitators to optimal trial conduct, and the self-perceived communication competence (SPCC) and interpersonal communication competence (IPCC) instruments.

Results

86 research nurses and research midwives completed the survey across all countries: The SPCC and IPCC results indicated increased clinical research experience significantly correlated with increased SPCC score (p < 0.05). Qualitative content analysis revealed five themes: (1) Implications for Role, (2) Safety and Wellbeing, (3) Training and Education, (4) Implications for Participants, and (5) Barriers and Facilitators.

Conclusions

Common trends and observations across the global sample can inform decentralized trial resource allocation and policy pertaining to the research nurse/research midwife workforce. This study demonstrates shared cultural norms of research nursing and midwifery across varied regional clinical trial ecosystems.

Swiss chiropractic cohort (Swiss ChiCo) pilot study: feasibility for a musculoskeletal cohort study conducted within a nationwide practice-based research network

PURPOSE

Practice-based research networks are collaborations between clinicians and researchers to advance primary care research. This study aims to assess the feasibility for longitudinal data collection within a newly established chiropractic PBRN in Switzerland.

METHODS

A prospective observational cohort feasibility study was performed. PBRN participating chiropractors were asked to recruit patients seeking new conservative health care for musculoskeletal pain from March 28, 2022, to September 28, 2022. Participants completed clinically oriented survey questions and patient-reported outcome measures before the initial chiropractic assessment as well as 1 h, 2 weeks, 6 weeks, and 12 weeks thereafter. Feasibility was assessed through a variety of process, resource, and management metrics. Patient clinical outcomes were also assessed.

RESULTS

A total of 76 clinicians from 35 unique primary care chiropractic clinics across Switzerland participated. A total of 1431 patients were invited to participate, of which 573 (mean age 47 years, 51% female) were enrolled. Patient survey response proportions were 76%, 64%, 61%, and 56%, at the 1-h, 2-, 6-, and 12-week survey follow-ups, respectively. Evidence of an association was found between increased patient age (OR = 1.03, 95%CI 1.01-1.04), patient from a German-speaking region (OR = 1.81, 95%CI 1.17-2.86), non-smokers (OR = 1.89, 95%CI 1.13-3.17), and increased pain impact score at baseline (OR = 1.18, 95%CI 1.01-1.38) and response to all surveys.

CONCLUSION

The Swiss ChiCo pilot study exceeded its prespecified feasibility objectives. Nationwide longitudinal data capture was highly feasible. Similar to other practice-based cohorts, participant retention remains a challenge. Trial registration Swiss chiropractic cohort (Swiss ChiCo) pilot study (ClinicalTrials.gov identifier: NCT05116020).

Shining a spotlight on the inclusion of disabled participants in clinical trials: a mixed methods study

BACKGROUND

It is crucial to include a wide range of the population in clinical trials for the outcome to be applicable in real-world settings. Existing literature indicates that under-served groups, including disabled people, have been excluded from participating in clinical trials without justification. Exclusion from clinical trials exacerbates disparities in healthcare and diminishes the benefits for excluded populations. Therefore, this study was conducted to investigate potential obstacles that prevent disabled people from participating in clinical trials in the United Kingdom (UK).

METHODS

The study was carried out through an explanatory sequential mixed methods design. The Imperial Clinical Trials Unit devised and implemented an online questionnaire-based survey (with open/closed-ended questions) and an online focus group discussion. The target population were disabled people, family members/carers of disabled people and staff involved in clinical trials, whereupon the sample was recruited by convenience sampling methods via posters and emails through various networks. The Qualtrics XM survey system was used as the host platform for the online survey, and Microsoft Teams was used for an online focus group discussion. The focus group discussion was conducted to gain a deeper understanding of the themes identified from the survey responses. We analysed responses to the survey via descriptive analysis and used thematic analysis to synthesise the free-text answers from the survey and focus group discussion.

RESULTS

We received 45 responses to the survey questionnaire and 5 disabled people took part in a focus group discussion. Our findings highlighted the differences between the perspectives of researchers and those "being researched" and different types of barriers experienced by disabled people: opportunity barriers (inadequate recruitment strategy and ambiguous eligibility criteria), awareness barriers (perception of disability) and acceptance/refusal barriers (available support and adjustment, and sharing of trial results).

CONCLUSION

Our findings support perspectives drawn from the Ford Framework regarding the need to consider all barriers, not just up to the point of enrolment into trials but also beyond the point of inclusion in clinical trials. We support calls for the introduction of legislation on including disabled people in clinical trials, implementation of industry/community-wide participatory approaches and the development of guidelines, a combined public-private approach.

Recruitment and retention of clinical trial participants: understanding motivations of patients with chronic pain and other populations

This paper aims to present and discuss the issues, challenges, and strategies related to recruitment and retention in clinical trials involving participants with chronic pain. The randomized controlled clinical trial (RCT) is widely regarded as the gold standard for evaluating clinical interventions. However, it is crucial to acknowledge and address the challenges associated with recruiting and retaining participants. To prioritize the experience of the study population, targeted outreach strategies and a patient-centric approach are necessary. Researchers should consider incorporating recruitment and retention strategies during the study design phase. Implementing multi-pronged recruitment methods, leveraging relationships with community providers, and involving representatives of the patient population are helpful approaches. Effective communication and maintaining a professional environment are vital for optimizing engagement and supporting the successful execution of clinical trials involving participants with chronic pain.

Race and Ethnic Representation in Crohn's Disease Trials of Biologic and Small Molecule Medications: A Systematic Review and Meta-analysis

BACKGROUND AND AIMS

Randomised controlled trials historically under-represent marginalised racial and ethnic populations. As incidence and prevalence of Crohn's disease in these groups rise, it is important to characterise their inclusion in randomised controlled trials on first-line and pipe-line medications.

METHODS

PubMed was searched systematically for randomised controlled trials of biologic and small molecule inhibitor [SMI] medications, with a primary outcome related to efficacy following PRISMA guidelines. We used descriptive statistics to summarise demographic variables and meta-regression analyses to estimate temporal trends in racial inclusion.

RESULTS

More than a half of trials did not report any racial/ethnic demographics [53.7%] and several reported racial demographics for only one race [20.9%]. When racial data were reported, Whites made up 90.2% of participants. Percentages of Black, Asian, Native American/Pacific Islander, and participants considered 'Other' averaged 2.9%, 11.6%, 0.5%, and 1.6% out of the total sample sizes of 3901, 3742, 828 and 4027, respectively. Proportional representation of White participants decreased over time [p <0.01] and proportional representation of Asian participants increased over time [p = 0.047]. In ordinal logistic regression, mean year of trial enrolment significantly increased the number of racial groups reported [p <0.001].

CONCLUSIONS

Half of published randomised controlled trials in Crohn's disease contain no racial or ethnic demographics, and the remaining often only have limited inclusion of Black, Native American/Pacific Islander, and Hispanic patients. Further work should characterise representation in observational and prospective trials. Researchers should work to: 1] increase reporting of racial and ethnic demographics; and 2] improve recruitment and retention of marginalised populations.

The AlzMatch Pilot Study - Feasibility of Remote Blood Collection of Plasma Biomarkers for Preclinical Alzheimer's Disease Trials

BACKGROUND

Advances in plasma biomarkers to detect Alzheimer's disease (AD) biology allows researchers to improve the efficiency of participant recruitment into preclinical trials. Recently, protein levels of plasma amyloid-beta and tau proteins have been shown to be predictive of elevated amyloid in brain. Online registries, such as the Alzheimer's Prevention Trials (APT) Webstudy, include and follow participants using remote assessments to facilitate efficient screening and enrollment of large numbers of individuals who may be at higher risk for AD.

OBJECTIVES

The AlzMatch Pilot Study investigated the feasibility of recruiting individuals from an online registry for blood sample collection at community-based phlebotomy centers and plasma biomarker quantification to assess an individual's eligibility for AD preclinical trials.

DESIGN

Pilot feasibility study with co-primary outcomes.

SETTING

This pilot feasibility study included participants from the APT Webstudy, the remote assessment arm of the Trial-ready cohort for Preclinical and Prodromal AD (TRC-PAD) Platform. Novel design included collection of electronic consent, use of community laboratories for plasma collection, mass spectrometry-based biomarker assay, and telephone communication of plasma biomarker screening eligibility.

PARTICIPANTS

Participants invited to the AlzMatch pilot feasibility study were active in the APT Webstudy, 50 years of age or older, resided within 50 miles of both a Quest Diagnostics Patient Services Center (a national diagnostic laboratory with convenient locations for sample collection and processing) and one of six TRC-PAD vanguard clinical trial sites, had no self-reported dementia diagnosis, were able to communicate in English and engaged with the APT Webstudy within the prior 6 months.

MEASUREMENTS

Primary feasibility outcomes were completion of electronic consent (e-consent) for invited participants and collection of usable blood samples. Additional feasibility outcomes included invitation response rate, plasma biomarker eligibility status (based on amyloid beta-42/40 [Aβ42/40] concentration ratio), ApoE proteotype, and trial inclusion criterion), and completion of telephone contact to learn eligibility to screen for a study.

RESULTS

300 APT Webstudy participants were invited to consent to the AlzMatch study. The AlzMatch e-consent rate was 39% (n=117) (95% CI of 33.5%-44.5%) overall, which was higher than the expected rate of 25%. Similar consent rates were observed across participants based on self-defined sex (41% Female (n=75), 37% Male (n=42)) and race and ethnicity (37% from underrepresented groups (URG) (n=36), 40% not from URG (n=79)). Among those that consented (n=117), plasma was successfully collected from 74% (n=87) (95% CI of 66%-82%), with similar rates across sex (76% Female (n=57), 71% Male (n=30)) and race and ethnicity (75% URG (n=27) and 75% not from URG (n=59)). 60% (n=51) of participants with plasma biomarker results were eligible to screen for future preclinical AD trials.

CONCLUSION

Electronic consent of participants through an online registry, blood sample collection at community-based centers, plasma biomarker quantification and reporting, and biomarker assessments for study eligibility were all feasible with similar engagement rates across demographic groups. Although this pilot was a small and selective sample, participants engaged and consented at higher than expected rates. We conclude that collecting blood at community laboratories for biomarker analyses may improve accessibility beyond research, and may facilitate broader access for clinical use of AD plasma biomarkers. Based on our results, an expanded version of the AlzMatch study is underway, which involves expanding invitations to additional APT Webstudy participants and clinical trial sites.

Decentralized Clinical Trials at Home: Commentary on Caregivers' Burden

Decentralized clinical trials (DCTs) provide the opportunity to bring interventional studies closer to participants in their homes or a suitable location closer to prospective participants, thus increasing participants' diversity, accrual, retention, health care, and research access. However, little is known about the burden of caring for cancer patients participating in DCTs. This article describes how DCTs might affect the caregivers of cancer patients. The points discussed include how technological challenges for those without adequate digital literacy can overburden participants and their caregivers at home, as well as managing and optimizing research logistics and safe handling of samples. In addition, the shift in labor from the study personnel to the participants and their caregivers in a bid to complete several study procedures on their own can increase the care burden, especially if not well incentivized. Therefore, it is important to accumulate evidence on ways to optimize DCTs, especially in the home environment, without increasing the burden on caregivers, who will be an integral part of the study team and support the research at home.

Reimagining the joint task force core competency framework for rural and frontier clinical research professionals conducting hybrid and decentralized trials

Introduction: Clinical research professionals (i.e., clinical research assistants, clinical research nurses, clinical research coordinators, etc.), as outlined by the Joint Task Force (JTF) Core Competency Framework, are highly trained to support the breadth of clinical trial operations and manage participant care. Clinical research professionals are uniquely equipped with a scope of practice that permits product administration, participant assessments, and data management. As clinical trials grow in complexity and their management expands beyond traditional, site-based operations models to decentralized and/or hybrid models, the need becomes great to ensure adequate staffing. However, rural hospitals frequently lack the research staff or patient recruiters that would allow them to support decentralized clinical trials across a sizeable rural geographic demographic. Methods: This paper examines the contributory factors of the clinical research professional workforce contraction and response efforts at professional and organizational levels within a large, Magnet-designated healthcare system in the rural northwestern United States. Perspectives are shared on adapting the Core Competency Framework to reflect the unique strengths and opportunities towards decentralized trials in rural regions of the United States and areas of priority for workforce cultivation and retention. A descriptive survey was used to gather initial data identifying the current research perspectives of healthcare workers working across a rural community. Participants were asked to complete questions about the JTF Competency domains and behavior-based questions. Analysis: Both competency and behavior-based questions were asked and related to roles. These were then cross-referenced using a Rasmussen Ladder system. Descriptive statistics were conducted for sample characteristics, self-reported competency domain questions, and behavior questions. Results and discussion: Survey findings suggest that although healthcare workers and clinical research teams interact, they are unlikely to ask their patients to participate in research. Based on the limited response rate, results suggest that better education throughout the rural community could benefit from decentralized research efforts. Increased use of technology was also highlighted as an area of interest.

Lessons From COVID-19 for Pandemic Preparedness: Proceedings From a Multistakeholder Think Tank

While the coronavirus disease 2019 (COVID-19) pandemic continues to present global challenges, sufficient time has passed to reflect on lessons learned and use those insights to inform policy and approaches to prepare for the next pandemic. In May 2022, the Duke Clinical Research Institute convened a think tank with thought leaders from academia, clinical practice, the pharmaceutical industry, patient advocacy, the National Institutes of Health, the US Food and Drug Administration, and the Centers for Disease Control and Prevention to share, firsthand, expert knowledge of the insights gained from the COVID-19 pandemic and how this acquired knowledge can help inform the next pandemic response. The think tank focused on pandemic preparedness, therapeutics, vaccines, and challenges related to clinical trial design and scale-up during the early phase of a pandemic. Based on the multi-faceted discussions, we outline 10 key steps to an improved and equitable pandemic response.

Effects of a Cognitive Behavioral Digital Therapeutic on Anxiety and Depression Symptoms in Patients With Cancer: A Randomized Controlled Trial

PURPOSE

Patients with cancer often experience elevated levels of distress. This double-blind, randomized controlled trial compared the impact of an app-based version of cognitive behavioral stress management (CBSM) versus a health education sham app on anxiety and depression symptoms.

METHODS

Patients with nonmetastatic (stage I-III) cancer who were receiving or recently completed (≤6 months) systemic treatment were recruited nationwide. The primary outcome of change in anxiety symptoms (PROMIS-Anxiety) over 12 weeks and the top secondary outcome of change in depression symptoms (PROMIS-Depression) over 12 weeks were analyzed using mixed-effects modeling with repeated measures (weeks 0, 4, 8, 12). Patient global impressions of change in anxiety and depression were reported at weeks 4, 8, and 12. In addition, self-reported adverse events were collected throughout the study and adjudicated by the site principal investigator.

RESULTS

Four hundred forty-nine patients were enrolled in the trial (age M [standard deviation] = 52.44 [11.46]; 81% female; 76% White; 53% breast cancer). Patients randomly assigned to digitized CBSM showed significantly greater reductions in anxiety (B = -0.03; P = .019) and depression (B = -0.02; P = .042) symptoms over 12 weeks. Patients who received digitized CBSM were also significantly more likely to perceive much or very much improvement (v no/minimal change or much/very much worse) in their symptoms of anxiety (χ2 = 31.76; P < .001) and depression (χ2 = 19.70; P < .001) compared with the control.

CONCLUSION

The use of digitized CBSM led to significant improvements in anxiety and depression outcomes compared with the sham app.

Representation and reporting of diverse groups in randomised controlled trials of pharmacological agents in inflammatory bowel disease: a systematic review

Inflammatory bowel disease (IBD) is now recognised as a global disease, with incidence rapidly increasing in newly industrialised countries in South America, Asia, and Africa. Trials in IBD, therefore, should adequately represent diverse groups with respect to gender, age, place of residence, race, and ethnicity to ensure the global applicability and generalisability of their findings. In this systematic review, we searched PubMed and Embase for randomised controlled trials (RCTs) published in English from Jan 1, 1995, to Jan 13, 2023, evaluating the efficacy of any pharmacological intervention in patients with IBD. Of 7543 records yielded in the search, we included 617 records reporting data from 627 RCTs and 108 986 participants. The results show a paucity of adequate representation of diverse groups in these RCTs. This finding was true for various groups, including racially and ethnically diverse populations, older (aged >65 years) and younger (aged <18 years) populations, those who identify outside of the gender binary, and people from South America and Africa. Also, some regions had an apparent scarcity of funding sources for trials. Pharmaceutical companies and clinical trial organisations should aim to ensure adequate representation of such under-represented groups in future IBD trials.

Health Disparities, Clinical Trials, and the Digital Divide

In the past few years, there have been rapid advances in technology and the use of digital tools in health care and clinical research. Although these innovations have immense potential to improve health care delivery and outcomes, there are genuine concerns related to inadvertent widening of the digital gap consequentially exacerbating health disparities. As such, it is important that we critically evaluate the impact of expansive digital transformation in medicine and clinical research on health equity. For digital solutions to truly improve the landscape of health care and clinical trial participation for all persons in an equitable way, targeted interventions to address historic injustices, structural racism, and social and digital determinants of health are essential. The urgent need to focus on interventions to promote health equity was made abundantly clear with the coronavirus disease 2019 pandemic, which magnified long-standing social and racial health disparities. Novel digital technologies present a unique opportunity to embed equity ideals into the ecosystem of health care and clinical research. In this review, we examine racial and ethnic diversity in clinical trials, historic instances of unethical research practices in biomedical research and its impact on clinical trial participation, and the digital divide in health care and clinical research, and we propose suggestions to achieve digital health equity in clinical trials. We also highlight key digital health opportunities in cardiovascular medicine and dermatology as exemplars, and we offer future directions for development and adoption of patient-centric interventions aimed at narrowing the digital divide and mitigating health inequities.

Feasibility study for a fully decentralized clinical trial in participants with functional constipation symptoms

Decentralized clinical trials (DCTs) leverage digital technologies to reduce dependency on study sites and intermediaries. DCT should be balanced with accessibility and data reliability while meeting regulatory requirements. Here, we conducted a pilot study for functional constipation symptoms to investigate the feasibility of DCT. The study was an open, fully remote, randomized clinical trial in participants who had functional constipation symptoms. Electronic consent was obtained remotely, and study volunteers were screened through web-based questionnaires. Subjects were randomized to either receive Lactobacillus and vitamin C supplements or vitamin C alone in a 1:1 ratio, which were delivered directly to subjects. Subjects kept track of bowel diaries daily during the 1-week baseline and 2-week treatment period using mobile applications. Bowel symptoms and the validity of the records were descriptively evaluated. A total of 30 subjects were randomized and completed the study. A total of 26.7% of subjects resided outside of the metropolitan area. Two-week Lactobacillus treatments increased the number of defecations (+0.80 vs. +0.46 times per week) and decreased the defecation time (-3.94 h vs. -1.62 h) compared to the comparator group. Overall, 67.1% of bowel diary records were completed in accordance with the schedule whereas 32.9% were not. Implementation of DCTs can facilitate geographic accessibility but should be guaranteed for data reliability. Prompt detection of errors and response using objective metrics would be required.

Decentralized clinical trial design using blood microsampling technology for serum bioanalysis

Background: Alternatives to phlebotomy in clinical trials increase options for patients and clinicians by simplifying and increasing accessibility to clinical trials. The authors investigated the technical and logistical considerations of one technology compared with phlebotomy. Methodology: Paired samples were collected from 16 donors via a second-generation serum gel microsampling device and conventional phlebotomy. Microsamples were subject to alternative sample handling conditions and were evaluated for quality, clinical testing and proteome profiling. Results: Timely centrifugation of blood serum microsamples largely preserved analyte stability. Conclusion: Centrifugation timing of serum microsamples impacts the quality of specific clinical chemistry and protein biomarkers. Microsampling devices with remote centrifugation and refrigerated shipping can decrease patient burden, expand clinical trial populations and aid clinical decisions.

Aiding the Adoption of Master Protocols by Optimizing Patient Engagement

Master protocols (MPs) are an important addition to the clinical trial repertoire. As defined by the U.S. Food and Drug Administration (FDA), this term means "a protocol designed with multiple sub-studies, which may have different objectives (goals) and involve coordinated efforts to evaluate one or more investigational drugs in one or more disease subtypes within the overall trial structure." This means we now have a unique, scientifically based MP that describes how a clinical trial will be conducted using one or more potential candidate therapies to treat patients in one or more diseases. Patient engagement (PE) is also a critical factor that has been recognized by FDA through its Patient-Focused Drug Development (PFDD) initiative, and by the European Medicines Agency (EMA), which states on its website that it has been actively interacting with patients since the creation of the Agency in 1995. We propose that utilizing these PE principles in MPs can make them more successful for sponsors, providers, and patients. Potential benefits of MPs for patients awaiting treatment can include treatments that better fit a patient's needs; availability of more treatments; and faster access to treatments. These make it possible to develop innovative therapies (especially for rare diseases and/or unique subpopulations, e.g., pediatrics), to minimize untoward side effects through careful dose escalation practices and, by sharing a control arm, to lower the probability of being assigned to a placebo arm for clinical trial participants. This paper is authored by select members of the American Statistical Association (ASA)/DahShu Master Protocol Working Group (MPWG) People and Patient Engagement (PE) Subteam. DahShu is a 501(c)(3) non-profit organization, founded to promote research and education in data science. This manuscript does not include direct feedback from US or non-US regulators, though multiple regulatory-related references are cited to confirm our observation that improving patient engagement is supported by regulators. This manuscript represents the authors' independent perspective on the Master Protocol; it does not represent the official policy or viewpoint of FDA or any other regulatory organization or the views of the authors' employers. The objective of this manuscript is to provide drug developers, contract research organizations (CROs), third party capital investors, patient advocacy groups (PAGs), and biopharmaceutical executives with a better understanding of how including the patient voice throughout MP development and conduct creates more efficient clinical trials. The PE Subteam also plans to publish a Plain Language Summary (PLS) of this publication for clinical trial participants, patients, caregivers, and the public as they seek to understand the risks and benefits of MP clinical trial participation.