scholarly journals A New Software Development Methodology for Clinical Trial Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-13
Author(s):  
Li-Min Liu
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Software Development ◽  
Quality Of Data ◽  
High Quality ◽  
Development Methodology ◽  
Software Development Methodology ◽  
The Government ◽  
New Software Development

Clinical trials are crucial to modern healthcare industries, and information technologies have been employed to improve the quality of data collected in trials and reduce the overall cost of data processing. While developing software for clinical trials, one needs to take into account the similar patterns shared by all clinical trial software. Such patterns exist because of the unique properties of clinical trials and the rigorous regulations imposed by the government for the reasons of subject safety. Among the existing software development methodologies, none, unfortunately, was built specifically upon these properties and patterns and therefore works sufficiently well. In this paper, the process of clinical trials is reviewed, and the unique properties of clinical trial system development are explained thoroughly. Based on the properties, a new software development methodology is then proposed specifically for developing electronic clinical trial systems. A case study shows that, by adopting the proposed methodology, high-quality software products can be delivered on schedule within budget. With such high-quality software, data collection, management, and analysis can be more efficient, accurate, and inexpensive, which in turn will improve the overall quality of clinical trials.

Prerequisites to support high-quality clinical trials in children and young people

2020 ◽  
pp. archdischild-2019-318677
Author(s):  
Steven Hirschfeld ◽  
Florian B Lagler ◽  
Jenny M Kindblom
Keyword(s):  
Clinical Trials ◽  
Healthcare Delivery ◽  
Paediatric Population ◽  
Ecosystem Functions ◽  
Healthcare Delivery System ◽  
High Quality ◽  
Children And Young People ◽  
The Right ◽  
Support Decision Making

Children have the right to treatment based on the same quality of information that guides treatment in adults. Without the proper evaluation of medicinal products and devices in paediatric clinical trials that are designed to meet the rigorous standards of the competent authorities, children are discriminated from advances in medicine. There are regulatory, scientific and ethical incentives to address the knowledge gap regarding efficacy and safety of medicines in the paediatric population. High-quality clinical trials involving children of all ages can generate data that will ultimately close the knowledge gaps and support decision making.For clinical trials that enrol children, the needs are specialised and often resource intensive. Prerequisites for successful paediatric clinical trials are personnel with training in both paediatrics and neonatology and expertise in clinical trials in these populations. Moreover, national and international networks for efficient collaboration, dissemination of information, and sharing of resources and expertise are also needed, together with competent, efficient and high-quality local infrastructure with effective processes. Monitoring and oversight bodies with the relevant competence, including expertise in paediatrics, is also an important prerequisite for paediatric clinical trials. Compromise in any of these components will compromise the downstream results.This paper discusses the structures and competences needed in order to perform effective, high-quality paediatric clinical trials with the ultimate goal of better medicines and treatments for children. We propose a model of examining the process as a series of components that each has to be optimised, then all the components are actively optimised to function together as an ecosystem, and the resulting ecosystem functions well with the general research system and the healthcare delivery system.

scholarly journals Calling for improved quality in the registration of traditional Chinese medicine during the public health emergency: a survey of trial registries for COVID-19, H1N1, and SARS

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Zhuoran Kuang ◽  
◽  
Xiaoyan Li ◽  
Jianxiong Cai ◽  
Yaolong Chen ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Secondary Outcome ◽  
Specific Information ◽  
Clinical Trial Registry ◽  
Data Set ◽  
Diagnosis Criteria

Abstract Objective To assess the registration quality of traditional Chinese medicine (TCM) clinical trials for COVID-19, H1N1, and SARS. Method We searched for clinical trial registrations of TCM in the WHO International Clinical Trials Registry Platform (ICTRP) and Chinese Clinical Trial Registry (ChiCTR) on April 30, 2020. The registration quality assessment is based on the WHO Trial Registration Data Set (Version 1.3.1) and extra items for TCM information, including TCM background, theoretical origin, specific diagnosis criteria, description of intervention, and outcomes. Results A total of 136 records were examined, including 129 severe acute respiratory syndrome coronavirus 2 (COVID-19) and 7 H1N1 influenza (H1N1) patients. The deficiencies in the registration of TCM clinical trials (CTs) mainly focus on a low percentage reporting detailed information about interventions (46.6%), primary outcome(s) (37.7%), and key secondary outcome(s) (18.4%) and a lack of summary result (0%). For the TCM items, none of the clinical trial registrations reported the TCM background and rationale; only 6.6% provided the TCM diagnosis criteria or a description of the TCM intervention; and 27.9% provided TCM outcome(s). Conclusion Overall, although the number of registrations of TCM CTs increased, the registration quality was low. The registration quality of TCM CTs should be improved by more detailed reporting of interventions and outcomes, TCM-specific information, and sharing of the result data.

scholarly journals In silico imaging clinical trials: cheaper, faster, better, safer, and more scalable

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Aldo Badano
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Medical Devices ◽  
In Silico ◽  
Lessons Learned ◽  
Patient Access ◽  
High Quality ◽  
Virtual Imaging ◽  
Regulatory Evaluation

AbstractImaging clinical trials can be burdensome and often delay patient access to novel, high-quality medical devices. Tools for in silico imaging trials have significantly improved in sophistication and availability. Here, I describe some of the principal advantages of in silico imaging trials and enumerate five lessons learned during the design and execution of the first all-in silico virtual imaging clinical trial for regulatory evaluation (the VICTRE study).

scholarly journals Measurement properties of patient-reported outcome measures (PROMs) in hyperhidrosis: a systematic review

2021 ◽  
Author(s):  
Michaela Gabes ◽  
Helge Knüttel ◽  
Gesina Kann ◽  
Christina Tischer ◽  
Christian J. Apfelbacher
Keyword(s):  
Systematic Review ◽  
Clinical Trials ◽  
Patient Reported Outcome Measures ◽  
Patient Reported Outcome ◽  
Measurement Properties ◽  
High Quality ◽  
High Quality Evidence ◽  
Patient Reported ◽  
Quality Evidence

Abstract Purpose To critically appraise, compare and summarize the quality of all existing PROMs that have been validated in hyperhidrosis to at least some extend by applying the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology. Thereby, we aim to give a recommendation for the use of PROMs in future clinical trials in hyperhidrosis. Methods We considered studies evaluating, describing or comparing measurement properties of PROMs as eligible. A systematic literature search in three big databases (MEDLINE, EMBASE and Web of Science) was performed. We assessed the methodological quality of each included study using the COSMIN Risk of Bias checklist. Furthermore, we applied predefined quality criteria for good measurement properties and finally, graded the quality of the evidence. Results Twenty-four articles reporting on 13 patient-reported outcome measures were included. Three instruments can be further recommended for use. They showed evidence for sufficient content validity and moderate- to high-quality evidence for sufficient internal consistency. The methodological assessment showed existing evidence gaps for eight other PROMs, which therefore require further validation studies to make an adequate decision on their recommendation. The Hyperhidrosis Disease Severity Measure-Axillary (HDSM-Ax) and the short-form health survey with 36 items (SF-36) were the only questionnaires not recommended for use in patients with hyperhidrosis due to moderate- to high-quality evidence for insufficient measurement properties. Conclusion Three PROMs, the Hyperhidrosis Quality of Life Index (HidroQoL), the Hyperhidrosis Questionnaire (HQ) and the Sweating Cognitions Inventory (SCI), can be recommended for use in future clinical trials in hyperhidrosis. Results obtained with these three instruments can be seen as trustworthy. Nevertheless, further validation of all three PROMs is desirable. Systematic review registration PROSPERO CRD42020170247

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