A randomized sham-controlled trial of transcranial and intranasal photobiomodulation in Japanese patients with mild cognitive impairment and mild dementia due to Alzheimer's disease: a protocol.

Introduction: Photobiomodulation (PBM) is a novel strategy for cognitive enhancement by improving brain metabolism and blood flow. It is potentially beneficial for patients with Alzheimer's disease (AD). We present a study protocol for a randomised controlled trial designed to evaluate the efficacy and safety of PBM. Method and analysis: This is a single-centre, parallel-group, randomised, sham-controlled study. We enroll patients with mild cognitive impairment or dementia due to AD and assigned them to receive either active or sham stimulation at home for 12 weeks, with three sessions per week (20 min each). The stimulation involves invisible near-infrared light delivered by five applicators (one in a nostril, one on the frontal scalp, and three on the occipital scalp). The primary outcome will be the mean change in the Alzheimer Disease Assessment Scale-cognition from baseline to Week 12. We will also measure cognitive function, activity of daily living, behavioral and psychological symptoms, and caregiver burden. We will collect data at clinics at baseline and Week 12 and remotely at home. We estimate a sample size of 30 (20 active and 10 sham) based on an expected mean difference of -6.9 and an SD of 4.8. We use linear models for the statistical analysis. Ethics and dissemination: The National Center of Neurology and Psychiatry Clinical Research Review Board (CRB3200004) approved this study. The results of this study will be published in a scientific peer-reviewed journal. Trial registration details Japan Registry of Clinical Trials jRCTs032230339.

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.

Strengths and opportunities to clinical trial enrollment among BIPOC, rural dwelling patients in the northwest United States: a retrospective study.

Introduction: Clinical trials investigating the safety and efficacy of experimental drugs and devices are the cornerstone of medicinal advancement. Enrolling sufficient participants in these trials is vital to ensure adequate statistical power and generalizability. Clinical trial participation is particularly low among certain populations, including medically underserved communities (i.e., rural areas) and Black, Indigenous, and People of Color (BIPOC). Methods: A retrospective study design was used to understand patient outcomes and access/barriers to clinical trial participation in the rural northwest United States. A quantitatively focused retrospective chart review was conducted for adult participants enrolled in at least one clinical trial in a single northwest health system between 1999 and 2022. Descriptive and inferential statistical analyses were performed to assess trial outcomes at a significance level 0.05. Results: The retrospective chart review yielded 833 clinical trial records with 753 individual enrolled participants. The all-cause relative frequency of death at last known follow-up amongst clinical trial participants was 8.90% (n = 67). Based on logistic regression, the death was significantly associated with the participants' age at initial trial screening (ß = 0.09, p-value <0.001), those that resided in non-metro areas (ß = -0.86, p-value = 0.045), and those that lived in Northeastern Montana (ß = 1.27, p-value = 0.025). Additionally, death at last known follow-up was significantly associated with enrollment in 2021-2022 (ß = -1.52, p-value <0.001), enrolled in more than one study (ß = 0.84, p-value = 0.023), in internationally sponsored trials (ß = -2.08, p-value <0.001), in Phase I (ß = 5.34, p-value <0.001), in Phase II trials (ß = 1.37, p-value = 0.013), diabetes as a primary trial target (ß = -2.04, p-value = 0.003). Conclusion: As decentralized trial design and remote or virtual elements of traditional trials become normative, representation of rural and frontier populations is imperative to support the generalizability of trial data encouraged by the FDA.

ACTIV-6: Operationalizing a decentralized, outpatient randomized platform trial to evaluate efficacy of repurposed medicines for COVID-19.

Despite the availability of vaccinations, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to cause Coronavirus Disease 2019 (COVID-19) infection with a spectrum of disease in the acute setting. Transmission, infection, and severe disease remain common. There is a critical need to establish treatment regimens in the ambulatory setting that can reduce symptom burden and potentially prevent progression to severe disease and death. Many existing medicines previously approved for other uses may have benefit but remain unproven in informative clinical trials. Accelerating COVID-19 Therapeutic Interventions and Vaccines (ACTIV)-6 is a decentralized, placebo-controlled, double-blind, randomized, platform trial that has now enrolled more than 7500 participants and has reported on the effectiveness of ivermectin at two doses, fluticasone, and fluvoxamine for helping people with COVID-19. With additional repurposed therapies added to the platform, ACTIV-6 continues to enroll symptomatic outpatients aged ≥ 30 years with a confirmed positive PCR or antigen test for SARS-CoV-2. Potential participants are screened and enrolled online, through a call center, or facilitated by local study sites. Participants consent electronically and are randomized to placebo or to one of the open study drugs for which they are eligible at the time of enrollment. A shared, contemporary placebo approach is used. Participants receive study drug in the mail and remain on study for up to 180 days. While enrolled, electronic patient-reported outcome assessments are used to monitor symptoms, healthcare utilization, and mortality. The primary endpoint is time to recovery or a composite of hospitalization and mortality within 28 days. Symptoms, acute healthcare utilization, and the Patient-Reported Outcomes Measurement Information System-29 are collected for up to 180 days. Using a decentralized trial approach allowed the ACTIV-6 platform to increase both reach and rate of enrollment. The decentralized approach did not simplify regulatory oversight, and we found unanticipated challenges in patient behavior and the study drug delivery process. Despite challenges, ACTIV-6 has enrolled thousands of participants from across the USA and continues to test the effectiveness of repurposed medicines for treating COVID-19. Our lessons learned contribute to the emerging understanding of how to optimize decentralized trials.

Behavioral Activation-Based Digital Smoking Cessation Intervention for Individuals With Depressive Symptoms: Randomized Clinical Trial.

BACKGROUND: Depression is common among adults who smoke cigarettes. Existing depression-specific cessation interventions have limited reach and are unlikely to improve smoking prevalence rates among this large subgroup of smokers. OBJECTIVE: This study aimed to determine whether a mobile app-based intervention tailored for depression paired with a mailed sample of nicotine replacement therapy (NRT) is efficacious for treating depression and promoting smoking cessation. METHODS: A 2-arm nationwide remote randomized clinical trial was conducted in the United States. Adults (N=150) with elevated depressive symptoms (Patient Health Questionnaire-8≥10) who smoked were enrolled. The mobile app ("Goal2Quit") provided behavioral strategies for treating depression and quitting smoking based on Behavioral Activation Treatment for Depression. Goal2Quit participants also received a 2-week sample of combination NRT. Treatment as usual participants received a self-help booklet for quitting smoking that was not tailored for depression. Primary end points included Goal2Quit usability, change in depression (Beck Depression Inventory-II) across 12 weeks, and smoking cessation including reduction in cigarettes per day, incidence of 24-hour quit attempts, floating abstinence, and 7-day point prevalence abstinence (PPA). RESULTS: In total, 150 participants were enrolled between June 25, 2020, and February 23, 2022, of which 80 were female (53.3%) and the mean age was 38.4 (SD 10.3) years. At baseline, participants on average reported moderate depressive symptoms and smoked a mean of 14.7 (SD 7.5) cigarettes per day. Goal2Quit usability was strong with a mean usability rating on the System Usability Scale of 78.5 (SD 16.9), with 70% scoring above the ≥68 cutoff for above-average usability. Retention data for app use were generally strong immediately following trial enrollment and declined in subsequent weeks. Those who received Goal2Quit and the NRT sample reported lower mean depressive symptoms over the trial duration as compared to treatment as usual (difference of mean 3.72, SE 1.37 points less; P=.01). Across time points, all cessation outcomes favored Goal2Quit. Regarding abstinence, Goal2Quit participants reported significantly higher rates of 7-day PPA at weeks 4 (11% vs 0%; P=.02), 8 (7-day PPA: 12% vs 0%; P=.02), and 12 (16% vs 2%; P=.02). CONCLUSIONS: A mobile app intervention tailored for depression paired with a sample of NRT was effective for depression treatment and smoking cessation. Findings support the utility of this intervention approach for addressing the currently unmet public health treatment need for tailored, scalable depression-specific cessation treatments. TRIAL REGISTRATION: ClinicalTrials.gov NCT03837379; https://clinicaltrials.gov/ct2/show/NCT03837379.

Regulatory Acceptance of Patient-Reported Outcome (PRO) Data from Bring-Your-Own-Device (BYOD) Solutions to Support Medical Product Labeling Claims : Let's Share the Success Stories to Move the Industry Forward.

Bring-your-own-device (BYOD) methods for collecting patient-reported outcome (PRO) data in clinical trials can decrease patient burden and improve data quality. However, adoption of BYOD in clinical trials is limited by the absence of publicly available case studies where BYOD PRO data supported regulatory medical product approvals. Anecdotally, we are aware of multiple examples where efficacy and safety label claims were based on BYOD PRO data; however-except for one-these examples have not been made public. The absence of these case studies can lead sponsors to be hesitant to use BYOD for capturing primary and secondary PRO-based endpoints in their trials. This commentary outlines the context of the issue faced and concludes with a call for sponsor transparency with regard to BYOD use through publicizing where approved labeling claims were based on BYOD data. We suggest how this data could be systematically captured going forward. Sharing this information will benefit the clinical trials enterprise by increasing confidence in the utilization of BYOD and provide opportunities to enhance patient-centricity.

Patient Engagement With a Game-Based Digital Therapeutic for the Treatment of Opioid Use Disorder: Protocol for a Randomized Controlled Open-Label, Decentralized Trial.

BACKGROUND: Prescription digital therapeutics are software-based disease treatments that are regulated by the US Food and Drug Administration; the reSET-O prescription digital therapeutic was authorized in 2018 and delivers behavioral treatment for individuals receiving buprenorphine for opioid use disorder. Although reSET-O improves outcomes for individuals with opioid use disorder, most of the therapeutic content is delivered as narrative text. PEAR-008 is an investigational device based on reSET-O that uses an interactive, game-based platform to deliver similar therapeutic content designed to enhance patient engagement, which may further improve treatment outcomes. OBJECTIVE: We aim to investigate how participants interact with the prescription digital therapeutic's new content delivery format. Secondary objectives include evaluating treatment success, symptoms of co-occurring mental health disorders, recovery capital, and skill development. METHODS: Due to the COVID-19 pandemic, this study was redesigned using a decentralized model because it was not possible to conduct medication initiation and study visits in person, as initially intended. A decentralized, randomized controlled trial design will be utilized to compare patient engagement with PEAR-008 and that with reSET-O using both subjective and objective assessments. The study population will consist of approximately 130 individuals with opioid use disorder (based on Diagnostic and Statistical Manual of Mental Disorders 5 criteria) who have recently started buprenorphine treatment for opioid use disorder. Participants will be virtually recruited and randomly assigned to receive either PEAR-008 or reSET-O. All study sessions will be virtual, and the duration of the study is 12 weeks. The primary outcome measure of engagement is operationalized as the number of active sessions per week with either PEAR-008 or reSET-O. (An active session is any session that contains some active participation in the app, such as navigating to a different screen, engaging with a learning module, or responding to a notification.) Subjective dimensions of engagement will be assessed with participant surveys. The hypothesis is that PEAR-008 will have significantly greater participant engagement than reSET-O. RESULTS: As of February 2021, participant enrollment is ongoing. CONCLUSIONS: This randomized controlled trial will investigate if changing the delivery format and enhancing the content of a prescription digital therapeutic for opioid use disorder will affect how participants use and interact with the prescription digital therapeutic. The study design may serve as a useful model for conducting decentralized studies in this patient population. TRIAL REGISTRATION: ClinicalTrials.gov NCT04542642; https://clinicaltrials.gov/ct2/show/NCT04542642. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/32759.

The Patient Motivation Pyramid and Patient-Centricity in Early Clinical Development.

BACKGROUND: It has been recognized that patients should be involved in the design of clinical trials. However, there is a lack of agreement on what patient-centricity means. METHODS: In this article, a Patient Motivation Pyramid based on Maslow's theory of human motivation is introduced as a tool to identify patient needs. This pyramid is used to make a comprehensive overview of options to implement a patient-centric trial design. The Pyramid with the described options can help to identify patient-centric activities suitable for given drug development. The current article further describes the potential benefits of patient-centric trial designs with an emphasis on early clinical development. Especially in early clinical development, during which trials have many assessments per patient, and the safety and clinical efficacy are uncertain, patient-centric trial design can improve feasibility. Finally, we present three case examples on patient-centric trial design. The first example is seeking patient input on the trial design for a First-in-Human trial which includes patients with Immune Thrombocytopenic Purpura. The second example is the use of a video-link for home dosing. The final example is the use of digital medicine in a decentralized trial in heart failure patients. RESULTS: A comprehensive overview of patients' needs can be accomplished by building a Patient Motivation Pyramid as a tool. Patient input can lead to improved endpoints, improved feasibility, better recruitment, less dropout, less protocol amendments, and higher patient satisfaction. The use of digital medicine can lead to a trial design with much less visits to the clinical research center in early clinical development and in a later development phase, even to a complete virtual trial. CONCLUSION: We recommend using the Patient Motivation Pyramid as a structural approach for identifying elements of patient-centricity. Secondly, we recommend starting using patient-centric approaches in an early phase of the medicine's lifecycle.