Increasing the Participation of Women and Minority Populations in Clinical Trials

2016 ◽  
Vol 8 (2) ◽  
pp. 16-25
Author(s):  
Michelle Lee D'Abundo ◽  
Saliha Akhtar ◽  
Cynthia Israel
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Online Advertising ◽  
Research Process ◽  
Minority Populations ◽  
Future Trends ◽  
Clinical Trial Research ◽  
Use Of Technology ◽  
Participation Of Women ◽  
Healthcare Interventions

Increasing the participation of women and minorities in clinical trials is a challenge for the healthcare industry. The lack of diversity in clinical trials prevents the tailoring of healthcare interventions specifically for women and minorities. The purpose of this paper is to explore how technology-oriented strategies can be applied in the clinical trial research process to increase the recruitment of women and minorities in clinical trials. An overview of clinical trials, the stakeholders, and current issues in diversifying recruitment are provided. In order to recruit diverse participant populations, the use of online advertising, social media, e-newsletters, tablets, smartphones, and apps are detailed. Lessons from previous use of technology in recruitment are outlined as well as future trends. With the support of clinical trial stakeholders, the current technology-oriented strategies available seem promising as methods for increasing the participation of women and minorities in clinical trials.

Increasing the Participation of Women and Minority Populations in Clinical Trials

2017 ◽  
pp. 1018-1028
Author(s):  
Michelle Lee D'Abundo ◽  
Saliha Akhtar ◽  
Cynthia Israel
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Online Advertising ◽  
Research Process ◽  
Healthcare Industry ◽  
Future Trends ◽  
Clinical Trial Research ◽  
Use Of Technology ◽  
Participation Of Women ◽  
Healthcare Interventions

Increasing the participation of women and minorities in clinical trials is a challenge for the healthcare industry. The lack of diversity in clinical trials prevents the tailoring of healthcare interventions specifically for women and minorities. The purpose of this paper is to explore how technology-oriented strategies can be applied in the clinical trial research process to increase the recruitment of women and minorities in clinical trials. An overview of clinical trials, the stakeholders, and current issues in diversifying recruitment are provided. In order to recruit diverse participant populations, the use of online advertising, social media, e-newsletters, tablets, smartphones, and apps are detailed. Lessons from previous use of technology in recruitment are outlined as well as future trends. With the support of clinical trial stakeholders, the current technology-oriented strategies available seem promising as methods for increasing the participation of women and minorities in clinical trials.

Diversifying Clinical Research Participants

2016 ◽  
pp. 234-258
Author(s):  
Saliha Akhtar ◽  
Cynthia Israel ◽  
Michelle Lee D'Abundo
Keyword(s):  
Clinical Trial ◽  
Information Technology ◽  
Clinical Trials ◽  
Clinical Research ◽  
Health Information Technology ◽  
Health Information ◽  
Research Process ◽  
Use Of Technology ◽  
Online Strategies ◽  
Trial Participants

The diversification of clinical trial participants to include women and minorities is one of the biggest challenges for the clinical research industry. The lack of diversity in clinical trials prevents the tailoring of healthcare interventions specifically for women and minorities. The purpose of this chapter is to explore how health information technology and online strategies can be applied in the clinical trial research process to increase the recruitment and retention of women and minorities in clinical trials. By examining this issue from both the individual (participant) and clinical stakeholder perspective, appropriate strategies utilizing available technology are proposed. In the health care environment, strategies to diversify clinical trial participants include the secondary use of Electronic Health Records, and disease registries, as well as e-learning to raise awareness and train health professionals and clinical trial staff. In order to recruit diverse participant populations, the use of online advertising, social media, e-newsletters, tablets, smartphones, and apps are detailed. Lessons from previous use of technology in recruitment are outlined as well as future trends. In summary, while there are recognized challenges to implementation, the current health information technology and online strategies available seem promising as methods of increasing the participation of women and minorities in clinical trials.

Diversifying Clinical Research Participants

2017 ◽  
pp. 158-183
Author(s):  
Saliha Akhtar ◽  
Cynthia Israel ◽  
Michelle Lee D'Abundo
Keyword(s):  
Clinical Trial ◽  
Information Technology ◽  
Clinical Trials ◽  
Clinical Research ◽  
Health Information Technology ◽  
Health Information ◽  
Research Process ◽  
Use Of Technology ◽  
Online Strategies ◽  
Trial Participants

The diversification of clinical trial participants to include women and minorities is one of the biggest challenges for the clinical research industry. The lack of diversity in clinical trials prevents the tailoring of healthcare interventions specifically for women and minorities. The purpose of this chapter is to explore how health information technology and online strategies can be applied in the clinical trial research process to increase the recruitment and retention of women and minorities in clinical trials. By examining this issue from both the individual (participant) and clinical stakeholder perspective, appropriate strategies utilizing available technology are proposed. In the health care environment, strategies to diversify clinical trial participants include the secondary use of Electronic Health Records, and disease registries, as well as e-learning to raise awareness and train health professionals and clinical trial staff. In order to recruit diverse participant populations, the use of online advertising, social media, e-newsletters, tablets, smartphones, and apps are detailed. Lessons from previous use of technology in recruitment are outlined as well as future trends. In summary, while there are recognized challenges to implementation, the current health information technology and online strategies available seem promising as methods of increasing the participation of women and minorities in clinical trials.

The Use of Digital Clinical Trial Methods in the Evaluation of Digital Therapeutics: A Scoping Review (Preprint)

2019 ◽  
Author(s):  
Allison Hirsch ◽  
Mahip Grewal ◽  
Anthony James Martorell ◽  
Brian Michael Iacoviello
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Clinical Research ◽  
Scoping Review ◽  
Digital Technologies ◽  
Good Clinical Practice ◽  
The United States ◽  
Clinical Trial Research ◽  
Digital Methods ◽  
Clinical Trial Methods

BACKGROUND Digital Therapeutics (DTx) provide evidence based therapeutic health interventions that have been clinically validated to deliver therapeutic outcomes, such that the software is the treatment. Digital methodologies are increasingly adopted to conduct clinical trials due to advantages they provide including increases in efficiency and decreases in trial costs. Digital therapeutics are digital by design and can leverage the potential of digital and remote clinical trial methods. OBJECTIVE The principal purpose of this scoping review is to review the literature to determine whether digital technologies are being used in DTx clinical research, which type are being used and whether publications are noting any advantages to their use. As DTx development is an emerging field there are likely gaps in the knowledge base regarding DTx and clinical trials, and the purpose of this review is to illuminate those gaps. A secondary purpose is to consider questions which emerged during the review process including whether fully remote digital clinical research is appropriate for all health conditions and whether digital clinical trial methods are inline with the principles of Good Clinical Practice. METHODS 1,326 records were identified by searching research databases and 1,227 reviewed at the full-article level in order to determine if they were appropriate for inclusion. Confirmation of clinical trial status, use of digital clinical research methods and digital therapeutic status as well as inclusion and exclusion criteria were applied in order to determine relevant articles. Digital methods employed in DTx research were extracted from each article and these data were synthesized in order to determine which digital methods are currently used in clinical trial research. RESULTS After applying our criteria for scoping review inclusion, 11 articles were identified. All articles used at least one form of digital clinical research methodology enabling an element of remote research. The most commonly used digital methods are those related to recruitment, enrollment and the assessment of outcomes. A small number of articles reported using other methods such as online compensation (n = 3), or digital reminders for participants (n = 5). The majority of digital therapeutics clinical research using digital methods is conducted in the United States and increasing number of articles using digital methods are published each year. CONCLUSIONS Digital methods are used in clinical trial research evaluating DTx, though not frequently as evidenced by the low proportion of articles included in this review. Fully remote clinical trial research is not yet the standard, more frequently authors are using partially remote methods. Additionally, there is tremendous variability in the level of detail describing digital methods within the literature. As digital technologies continue to advance and the clinical research DTx literature matures, digital methods which facilitate remote research may be used more frequently.

scholarly journals Conceptual Framework to Support Clinical Trial Optimization and End-to-End Enrollment Workflow

2019 ◽  
pp. 1-10 ◽  
Author(s):  
Neha M. Jain ◽  
Alison Culley ◽  
Teresa Knoop ◽  
Christine Micheel ◽  
Travis Osterman ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Knowledge Representation ◽  
Conceptual Framework ◽  
Trial Design ◽  
Clinical Trial Design ◽  
Prospective Clinical Trial ◽  
Future Trends ◽  
Current State ◽  
Evaluation Strategies

In this work, we present a conceptual framework to support clinical trial optimization and enrollment workflows and review the current state, limitations, and future trends in this space. This framework includes knowledge representation of clinical trials, clinical trial optimization, clinical trial design, enrollment workflows for prospective clinical trial matching, waitlist management, and, finally, evaluation strategies for assessing improvement.

scholarly journals Clinical trial research on COVID-19 in Germany – a systematic analysis

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 913
Author(s):  
Julian Hirt ◽  
Abeelan Rasadurai ◽  
Matthias Briel ◽  
Pascal Düblin ◽  
Perrine Janiaud ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Research Agenda ◽  
Randomized Clinical Trials ◽  
Median Number ◽  
First Year ◽  
Industry Funding ◽  
Systematic Analysis ◽  
Clinical Trial Research ◽  
German Contribution

Background: In 2020, the COVID-19 pandemic led to an unprecedented volume of almost 3,000 clinical trials registered worldwide. We aimed to describe the COVID-19 clinical trial research agenda in Germany during the first year of the pandemic. Methods: We identified randomized clinical trials assessing interventions to treat or prevent COVID-19 that were registered in 2020 and recruited or planned to recruit participants in Germany. We requested recruitment information from trial investigators as of April 2021. Results: In 2020, 65 trials were completely (n=27) or partially (n=38) conducted in Germany. Most trials investigated interventions to treat COVID-19 (86.2%; 56/65), in hospitalized patients (67.7%; 44/65), with industry funding (53.8%; 35/65). Few trials were completed (21.5%; 14/65). Overall, 187,179 participants were planned to be recruited (20,696 in Germany), with a median number of 106 German participants per trial (IQR 40 to 345).  From the planned German participants, 13.4%  were recruited (median 15 per trial (IQR 0 to 44). Conclusions: The overall German contribution to the worldwide COVID-19 clinical trial research agenda was modest. Few trials delivered urgently needed evidence. Most trials did not meet recruitment goals. Evaluation and international comparison of the challenges for conducting clinical trials in Germany is needed.

scholarly journals The appearance and increase in the quantity and proportion of the clinical research coordinator's service fee in drug clinical trial research fund and its impact on trial quality

2020 ◽  
Author(s):  
Liran Chen ◽  
Zhimin Chen ◽  
Huafang Chen
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Clinical Research ◽  
Structural Changes ◽  
Continuous Increase ◽  
Clinical Trial Research ◽  
Clinical Research Coordinator ◽  
Research Coordinator ◽  
Drug Clinical Trial

Abstract Objective: The changes of absolute value and relative value of clinical research coordinator service fee and its influence on the quality of drug clinical trial were analyzed.Methods: This study compared the amount and structural changes of drug clinical trial costs in before 3 years and after 3 years of self-examination and inspection initiated by the China Food and Drug Administration, identified the increase number and composition of each individual cost of a clinical trial research funds which including clinical research coordinator service fee, investigator labor fee, subjects examination fee, subjects traffic subsidy, documents management fee, drug management fee, etc.Result: The most significant appearance and increase in volume and proportion were the clinical research coordinator service fee. From the initial few to the global multicenter tumor drug clinical trials RMB31,624 or 34.92% of the proportion and domestic multicenter tumor drug clinical trials RMB16,500,accounted for 33.74%.Discussion: It has become common for more money to be spent on clinical trials to be accompanied by improved quality, but the occurrence and continuous increase of clinical research coordinator service fee were divided into two aspects, On the one hand, the quality of clinical trials was promoted by the large amount of low-skill trivial work undertaken by clinical research coordinator; on the other hand, the quality of clinical trials was undermined by the fact that clinical research coordinator did too much treatment evaluation work that should have been done by the investigator.

scholarly journals Comparison and transformation between CDISC ODM and EN13606 EHR standards in connecting EHR data with clinical trial research data

2018 ◽  
Vol 4 ◽  
pp. 205520761877767 ◽  
Author(s):  
Archana Tapuria ◽  
Philipp Bruland ◽  
Brendan Delaney ◽  
Dipak Kalra ◽  
Vasa Curcin
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Clinical Sample ◽  
Clinical Information ◽  
Research Database ◽  
Data Interoperability ◽  
Clinical Trial Research ◽  
Electronic Data Capture System ◽  
Data Elements ◽  
Cdisc Odm

Objectives Integrating Electronic Health Record (EHR) systems into the field of clinical trials still contains several challenges and obstacles. Heterogeneous standards and specifications are used to represent healthcare and clinical trial information. Therefore, this work investigates the mapping and data interoperability between healthcare and research standards: EN13606 used for the EHRs and the Clinical Data Interchange Standards Consortium Operational Data Model (CDISC ODM) used for clinical research. Methods Based on the specifications of CDISC ODM 1.3.2 and EN13606, a mapping between the structure and components of both standards has been performed. Archetype Definition Language (ADL) forms built with the EN13606 editor were transformed to ODM XML and reviewed. As a proof of concept, clinical sample data has been transformed into ODM and imported into an electronic data capture system. Reverse transformation from ODM to ADL has also been performed and finally reviewed concerning map-ability. Results The mapping between EN13606 and CDISC ODM shows the similarities and differences between the components and overall record structure of the two standards. An EN13606 archetype corresponds with a group of items within CDISC ODM. Transformations of element names, descriptions, different languages, datatypes, cardinality, optionality, units, value range and terminology codes are possible from EN13606 to CDISC ODM and vice versa. Conclusion It is feasible to map data elements between EN13606 and CDISC ODM and transformation of forms between ADL and ODM XML format is possible with only minor limitations. EN13606 can accommodate clinical information in a more structured manner with more constraints, whereas CDISC ODM is more suitable and specific for clinical trials and studies. It is feasible to transform EHR data in the EN13606 form to ODM to transfer it into research database. The attempt to use EN13606 to build a study protocol (that was already built with CDISC ODM) also suggests the possibility of using EN13606 standard in place of CDISC ODM if needed to avoid transformations.

scholarly journals Promoting inclusion in clinical trials—a rapid review of the literature and recommendations for action

Trials ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Danielle H. Bodicoat ◽  
Ash C. Routen ◽  
Andrew Willis ◽  
Winifred Ekezie ◽  
Clare Gillies ◽  
...  
Keyword(s):  
Clinical Trial ◽  
Clinical Trials ◽  
Cultural Competency ◽  
Grey Literature ◽  
Healthcare Delivery ◽  
Research Process ◽  
Rapid Review ◽  
Advisory Panel ◽  
Evidence Based ◽  
Recommendations For Action

Abstract Background Without inclusion of diverse research participants, it is challenging to understand how study findings will translate into the real world. Despite this, a lack of inclusion of those from under-served groups in research is a prevailing problem due to multi-faceted barriers acting at multiple levels. Therefore, we rapidly reviewed international published literature, in relation to clinical trials, on barriers relating to inclusion, and evidence of approaches that are effective in overcoming these. Methods A rapid literature review was conducted searching PubMed for peer-reviewed articles that discussed barriers to inclusion or strategies to improve inclusion in clinical trial research published between 2010 and 2021. Grey literature articles were excluded. Results Seventy-two eligible articles were included. The main barriers identified were language and communication, lack of trust, access to trials, eligibility criteria, attitudes and beliefs, lack of knowledge around clinical trials, and logistical and practical issues. In relation to evidence-based strategies and enablers, two key themes arose: [1] a multi-faceted approach is essential [2]; no single strategy was universally effective either within or between trials. The key evidence-based strategies identified were cultural competency training, community partnerships, personalised approach, multilingual materials and staff, communication-specific strategies, increasing understanding and trust, and tackling logistical barriers. Conclusions Many of the barriers relating to inclusion are the same as those that impact trial design and healthcare delivery generally. However, the presentation of these barriers among different under-served groups may be unique to each population’s particular circumstances, background, and needs. Based on the literature, we make 15 recommendations that, if implemented, may help improve inclusion within clinical trials and clinical research more generally. The three main recommendations include improving cultural competency and sensitivity of all clinical trial staff through training and ongoing personal development, the need to establish a diverse community advisory panel for ongoing input into the research process, and increasing recruitment of staff from under-served groups. Implementation of these recommendations may help improve representation of under-served groups in clinical trials which would improve the external validity of associated findings.

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