scholarly journals Can Actigraphy Outcome Measures From Existing Clinical Trials Provide A Framework for Sleep and Activity Endpoint Standards in the Clinical Trial of the Future?

2015 ◽  
Vol 18 (7) ◽  
pp. A724
Author(s):  
M Mc Carthy
2020 ◽  
Author(s):  
Marcello De Angelis ◽  
Luigi Lavorgna ◽  
Antonio Carotenuto ◽  
Martina Petruzzo ◽  
Roberta Lanzillo ◽  
...  

BACKGROUND Clinical trials in multiple sclerosis (MS) have leveraged the use of digital technology to overcome limitations in treatment and disease monitoring. OBJECTIVE To review the use of digital technology in concluded and ongoing MS clinical trials. METHODS In March 2020, we searched for “multiple sclerosis” and “trial” on pubmed.gov and clinicaltrials.gov using “app”, “digital”, “electronic”, “internet” and “mobile” as additional search words, separately. Overall, we included thirty-five studies. RESULTS Digital technology is part of clinical trial interventions to deliver psychotherapy and motor rehabilitation, with exergames, e-training, and robot-assisted exercises. Also, digital technology has become increasingly used to standardise previously existing outcome measures, with automatic acquisitions, reduced inconsistencies, and improved detection of symptoms. Some trials have been developing new patient-centred outcome measures for the detection of symptoms and of treatment side effects and adherence. CONCLUSIONS We will discuss how digital technology has been changing MS clinical trial design, and possible future directions for MS and neurology research.


2005 ◽  
Vol 2 (1) ◽  
pp. 72-79 ◽  
Author(s):  
Jennifer Litchfield ◽  
Jenny Freeman ◽  
Henrik Schou ◽  
Mark Elsley ◽  
Robert Fuller ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 1527-1527
Author(s):  
Waqas Haque ◽  
Ann M. Geiger ◽  
Celette Sugg Skinner ◽  
Rasmi Nair ◽  
Simon Craddock Lee ◽  
...  

1527 Background: Patient accrual for cancer clinical trials is suboptimal. The complexity of applying eligibility criteria and enrolling patients may deter oncologists from recommending patients for a trial. As such, there is a need to understand how experience, training, and clinical decision support impact physician practices and intentions related to trial accrual. Methods: From May to September 2017, we conducted a survey on clinical trial accrual in a national sample of medical, surgical, and radiation oncologists. The 20-minute survey assessed barriers and facilitators to clinical trial accrual, including experience (e.g., “In the past 5 years, have you been a study or site PI of a trial?”), training (e.g., “Did you receive training about trial design and recruitment as part of medical school, residency, or fellowship? After fellowship?”), and clinical decision support (e.g., “What kind of clinical decision support has your practice implemented?). We used logistic regression to identify factors associated with frequency of discussing trials (with ≥25% of patients) and likelihood of recommending a trial to a patient (likely or very likely) in the future. Results: Survey respondents (n = 1,030) were mostly medical oncologists (59%), age 35-54 years (67%), male (74%), and not in academic practice (58%). About 18% of respondents (n = 183) reported discussing trials with ≥25% of their patients, and 80% reported being likely or very likely to recommend a trial to a patient in the future. Prior experience as principal investigator of a trial was associated with both frequency of discussing trials (OR 3.27, 95% CI 2.25, 4.75) and likelihood of recommending a trial in the future (OR 5.22, 95% CI 3.71, 7.34), as was receiving additional training in clinical trials after fellowship (discussion with patients: OR 2.48, 95% CI 1.80, 3.42; recommend in future: OR 1.92, 95% CI 1.37, 2.69). Implementing clinical decision support was not associated with discussing trials with ≥25% of patients (OR 1.12, 95% CI 0.76, 1.67), but was associated with being likely to recommend a trial in the future (OR 1.73, 95% CI 1.11, 2.71). Conclusions: In a national survey of oncologists, we observed differences in physician practices and intention related to clinical trial accrual. Whereas the vast majority (80%) reported being likely or very likely to recommend trials in the future, far fewer (20%) reported discussing trials with their patients within the past 5 years. Implementation of clinical decision support – electronic tools intended to optimize patient care and identification of patient eligibility – was not associated with frequency of past discussion of clinical trials but was associated with recommending a trial in the future. Given the stronger association between experience as a site Principal Investigator and recommending a trial, future research should explore how improving opportunities to lead a clinical trial impact trial accrual.


2018 ◽  
Vol 15 (1_suppl) ◽  
pp. 27-32 ◽  
Author(s):  
Hans-Georg Eichler ◽  
Fergus Sweeney

The authors describe key challenges facing the clinical trials community and propose solutions to these issues, including the role the Clinical Trials Transformation Initiative can play in addressing these issues. Specifically, the authors reflect on clinical trial globalization and the harmonization of frameworks and requirements across regions; the challenges associated with balancing the desire for external validity, pragmatic trials, and precision medicine; clinical trial transparency; and operational complexity and the expense of clinical trials. By addressing these challenges, future clinical trials will be more feasible, relevant, and credible, and support both the continuing altruistic contributions of patients and the collection of more meaningful data.


Author(s):  
Simon J. Howell

A clinical trial is a research study that assigns people or groups to different interventions and compares the impact of these on health outcomes. This chapter examines the design and delivery of clinical trials in anaesthesia and perioperative medicine covering the issues outlined below. The features of a high-quality clinical trial include well-defined inclusion and exclusion criteria, a control group, randomization, and blinding. Outcome measures may be broadly divided into counting the number of people who experience an outcome and taking measurements on people. The outcome measures selected for a clinical trial reflect the purpose of the study and may include ‘true’ clinical measures such as major postoperative complications or surrogate measures such as the results of a biochemical test. Outcome measures may be combined in a composite outcome. Assessment of health-related quality of life using a tool such as the SF-36 questionnaire is an important aspect of many clinical trials in its own right and also informs the economic analyses that may be embedded in a trial. Determining the number for recruits needed for a clinical trial requires both clinical and statistical insight and judgement. The analysis of a clinical trial requires a similarly sophisticated approach that takes into account the objectives of the study and balances the need for appropriate subgroup analyses with the risk of false-positive results. The safe and effective management of a clinical trial requires rigorous organizational discipline and an understanding of the ethical and regulatory structures that govern clinical research.


Trials ◽  
2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Eleanor J. Mitchell ◽  
Khaled Ahmed ◽  
Suzanne Breeman ◽  
Seonaidh Cotton ◽  
Lynda Constable ◽  
...  

Abstract The COVID-19 pandemic has presented unique challenges for the clinical trial community, both in the rapid establishment of COVID-19 clinical trials and many existing non-COVID-19 studies either being temporarily paused (whether that is a complete pause or pause in some activities) and/or adapting their processes. Trial managers have played a key role in decision-making, undertaking risk assessments and adapting trial processes, working closely with other members of the research team. This article presents some of the ways in which trial management processes have been altered and the key role that trial managers have played. It has been born out of discussions between trial managers in the UK who are members of the UK Trial Managers’ Network (UKTMN), a national network of trial management professionals managing non-commercial trials. In these unprecedented times, clinical trials have faced many uncertainties and broad-ranging challenges encompassing a range of activities including prioritising patient safety amidst the pandemic, consenting and recruiting new participants into trials, data collection and management and intervention delivery. In many cases, recruitment has been paused whilst mitigations have been put in place to continue data collection. Innovative solutions have been implemented to ensure we continue, where possible, to deliver high-quality clinical trials. Technology has provided many solutions to these challenges, and trial managers have adapted to new ways of working whilst continuing to deliver their clinical trials. Trial management groups are now faced with new uncertainties around re-starting clinical trials, and it is unclear currently how this will go, though working together with sponsors, funders and site teams is clearly a priority. Clinical trial teams have worked together to ensure their trials have adapted quickly whilst ensuring participant safety is given utmost importance. There are clear examples where the trial community have come together to share experiences and expertise, and this should continue in the future to ensure the innovative practices developed become embedded in the design and conduct of clinical trials in the future.


Spinal Cord ◽  
2006 ◽  
Vol 45 (3) ◽  
pp. 206-221 ◽  
Author(s):  
J D Steeves ◽  
D Lammertse ◽  
A Curt ◽  
J W Fawcett ◽  
M H Tuszynski ◽  
...  

2021 ◽  
Vol 10 (11) ◽  
pp. 2328
Author(s):  
Marcello De Angelis ◽  
Luigi Lavorgna ◽  
Antonio Carotenuto ◽  
Martina Petruzzo ◽  
Roberta Lanzillo ◽  
...  

Clinical trials in multiple sclerosis (MS) have been including digital technology tools to overcome limitations in treatment delivery and disease monitoring. In March 2020, we conducted a systematic search on pubmed.gov and clinicaltrials.gov databases (with no restrictions) to identify all relevant published and unpublished clinical trials, in English language, including MS patients, in which digital technology was applied. We used “multiple sclerosis” and “clinical trial” as the main search words, and “app”, “digital”, “electronic”, “internet” and “mobile” as additional search words, separately. Digital technology is part of clinical trial interventions to deliver psychotherapy and motor rehabilitation, with exergames, e-training, and robot-assisted exercises. Digital technology has been used to standardise previously existing outcome measures, with automatic acquisitions, reduced inconsistencies, and improved detection of symptoms (e.g., electronic recording of motor performance). Other clinical trials have been using digital technology for monitoring symptoms that would be otherwise difficult to detect (e.g., fatigue, balance), for measuring treatment adherence and side effects, and for self-assessment purposes. Collection of outcome measures is progressively shifting from paper-based on site, to internet-based on site, and, in the future, to internet-based at home, with the detection of clinical and treatment features that would have remained otherwise invisible. Similarly, remote interventions provide new possibilities of motor and cognitive rehabilitation.


10.2196/11845 ◽  
2019 ◽  
Vol 6 (5) ◽  
pp. e11845 ◽  
Author(s):  
Aaron M Mofsen ◽  
Thomas L Rodebaugh ◽  
Ginger E Nicol ◽  
Colin A Depp ◽  
J Philip Miller ◽  
...  

A major problem in mental health clinical trials, such as depression, is low assay sensitivity in primary outcome measures. This has contributed to clinical trial failures, resulting in the exodus of the pharmaceutical industry from the Central Nervous System space. This reduced assay sensitivity in psychiatry outcome measures stems from inappropriately broad measures, recall bias, and poor interrater reliability. Limitations in the ability of traditional measures to differentiate between the trait versus state-like nature of individual depressive symptoms also contributes to measurement error in clinical trials. In this viewpoint, we argue that ecological momentary assessment (EMA)—frequent, real time, in-the-moment assessments of outcomes, delivered via smartphone—can both overcome these psychometric challenges and reduce clinical trial failures by increasing assay sensitivity and minimizing recall and rater bias. Used in this manner, EMA has the potential to further our understanding of treatment response by allowing for the assessment of dynamic interactions between treatment and distinct symptom response.


2020 ◽  
Vol 18 (12.5) ◽  
pp. 1777-1779
Author(s):  
Natalie S. Callander

Smoldering multiple myeloma represents approximately 10% to 15% of all myeloma cases, but more thorough evaluation may decrease that number in the future. Risk stratification is important in this patient population to avoid overtreatment or undertreatment. Patients with low-risk disease can be observed without treatment, but those at higher-risk should be enrolled on clinical trials. If a clinical trial is not an option in these patients, a time-limited intervention with lenalidomide ± dexamethasone can be considered.


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