Future Genetics, The Science Centre, Wolverhampton Science Park
Wolverhampton, West Midlands, WV10 9RU, United Kingdom
Location status: Recruiting
NCT Number: NCT03987633
Health inequality and genetic disparity are a significant issue in the United Kingdom (UK).
This study focuses on diseases that are associated with significant morbidity and mortality in the UK, and specifically examines the extent and basis of treatment failure in different patient populations.
The vast majority of drug registration clinical trials have under-representation of ethnic minority populations. In addition, the wider Caucasian populations have reasonably different clinical characteristics to the population that participated in the drug licencing clinical trials. A consequence of this is that drugs are licensed for use in real-world general patient populations where the clinical trial results are simply not statistically significant to specifically demonstrate efficacy or safety in populations that were either absent or under-represented in the drug registration clinical trials. When these facts are considered alongside data that supports significant under-reporting of adverse events in the real-world setting within the UK (and globally, e.g the USA and Europe), it highlights that pharmacovigilance systems are unable to capture drug effectiveness and safety data in a manner that can reasonably assure appropriate prescribing in the wider patient populations.
This large real-world research study aims to identify whether commonly prescribed drugs are effective in treating illnesses that cause significant poor health and death in the different patient populations that represent the UK.
The goal of this study is to generate large quantitative data-sets that may inform clinical practice to reduce the existing health inequality and genetic disparity in the UK.
Interested in participating?
Request Info6 year and older
All sexes
Observational
Wolverhampton, West Midlands, WV10 9RU, United Kingdom
Location status: Recruiting
This multi-centre real-world study will recruit patients across different National Health Service (NHS) sites based in England, where the overall patient population demographic profile is sufficiently variable to allow for meaningful representation of different ethnicities in the analysis of pooled data-sets.
The study addresses the issue of health inequality and genetic disparity in the United Kingdom (UK) by recruiting up to 200,000 patients primarily from the three main ethnic groups in the UK; namely White (Caucasian), African-Caribbean (Black), and South Asian (Asian) populations on a 1:1:1 ratio.
Biological samples, medical records, alongside specific questionnaires will be used in data analyses to help identify treatment failures in different populations for the 19 disease areas under investigation, which are a significant cause of morbidity and mortality in the UK.
Analysis of patient populations may provide real-world evidence around disease prevalence between and within different ethnic groups. The data may also support hypothesis driven genetic analysis to identify putative bio-markers associated with treatment failure.
Data from this study will be published, and findings could better inform clinical practice in the management of diseases that cause significant poor health and death in the different populations that represent the UK.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: Ongoing review of data, anticipated completion of primary outcome analysis 4 years post launch
Identify ethnic disparities in treatment failures for any of the 19 disease states under investigation. The primary outcome is treatment failure, as measured by the discontinuation of a treatment regimen by a clinician in the absence of the cure of the disease, for the most common treatment in each of the 19 diseases.
Time frame: Ongoing review of data, anticipated completion of analysis 5 years post launch
Identifying ethnic disparities in disease incidence. The corresponding secondary outcome measure for this is, for each of the 19 diseases under consideration, the diagnosis of the disease. We will use time to diagnosis to examine ethnic disparities in incidence.
Time frame: Ongoing review of data, anticipated completion of analysis 5 years post launch
Another secondary outcome is identifying candidate genetic variants that may underpin observed disparities in treatment failure, for treatments in the 19 diseases under consideration. The corresponding secondary outcome measures used for this are genotypes as identified through whole genome sequencing (WGS) of patient saliva or peripheral blood that are associated with the phenotypes corresponding to the treatment failure previously described as the primary outcome measure.
Contact information is provided by the study sponsor or research team.
Future Genetics Limited
Other
EMPOWER-1: A Multi-site Clinical Cohort Study to Reduce Health Inequality: Identifying Ethnic Disparities in Treatment Failures for Medicines Prescribed to Treat Diseases That Cause Significant Mortality and Morbidity in the UK Population
Acronym: EMPOWER
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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