RESUMEN
BACKGROUND: Patient and public involvement and engagement (PPIE) can improve the relevance, quality, ethics and impact of research thus contributing to high quality research. Currently in the UK, people who get involved in research tend to be aged 61 years or above, White and female. Calls for greater diversity and inclusion in PPIE have become more urgent especially since the COVID-19 pandemic, so that research can better address health inequalities and be relevant for all sectors of society. Yet, there are currently no routine systems or requirements to collect or analyse the demographics of people who get involved in health research in the UK. The aim of this study was to develop to capture and analyse the characteristics of who does and doesn't take part in patient and public involvement and engagement (PPIE) activities. METHODS: As part of its strategic focus on diversity and inclusion, Vocal developed a questionnaire to assess the demographics of people taking part in its PPIE activities. Vocal is a non-profit organisation which supports PPIE in health research across the region of Greater Manchester in England. The questionnaire was implemented across Vocal activities between December 2018 and March 2022. In that time. Vocal was working with approximately 935 public contributors. 329 responses were received: a return rate of 29.3%. Analysis of findings and comparison against local population demographic data, and available national data related to public contributors to health research, was performed. RESULTS: Results show that it is feasible to assess the demographics of people who take part in PPIE activities, through a questionnaire system. Further, our emerging data indicate that Vocal are involving people from a wider range of ages and with a greater diversity of ethnic backgrounds in health research, as compared to available national data. Specifically, Vocal involves more people of Asian, African and Caribbean heritage, and includes a wider range of ages in its PPIE activities. More women than men are involved in Vocal's work. CONCLUSION: Our 'learn by doing' approach to assessing who does and doesn't take part in Vocal's PPIE activities has informed our practice and continues influence our strategic priorities for PPIE. Our system and learning reported here may be applicable and transferable to other similar settings in which PPIE is carried out. We attribute the greater diversity of our public contributors to our strategic priority and activities to promote more inclusive research since 2018.
Patient and public involvement and engagement (PPIE) can improve the relevance, quality, ethics and impact of research thus contributing to high quality research. Currently in the UK, people who get involved in research tend to be aged 61 years or above, White and female. Calls for greater diversity and inclusion in PPIE have become more urgent especially since the COVID-19 pandemic, so that research can better address health inequalities and be relevant for all sectors of society. Yet, there are currently no routine systems or requirements to collect or analyse the demographics of people who get involved in health research in the UK. Vocal is a non-profit organisation which supports PPIE in health research across the region of Greater Manchester in England. Since 2018, one of Vocal's strategic priorities has been to promote inclusive research by diversifying those who are engaged and involved in research, through the development of more inclusive ways of working together, including methods to understand who is (and isn't) currently involved in Vocal's PPIE activities. We find that it's feasible to capture and analyse demographic data related to PPIE. Further, our emerging data indicate that we are involving people from a wider range of ages and with a greater diversity of ethnic backgrounds in PPIE for health research, as compared to available national data. However, similarly to national trends, more women than men are involved in PPIE work.
RESUMEN
Torsade de points (TdP), a life-threatening arrhythmia that can increase the risk of sudden cardiac death, is associated with drug-induced QT-interval prolongation on the electrocardiogram (ECG). While many modern ECG machines provide automated measurements of the QT-interval, these automated QT values are usually correct only for a noise-free normal sinus rhythm, in which the T-wave morphology is well defined. As QT-prolonging drugs often affect the morphology of the T-wave, automated QT measurements taken under these circumstances are easily invalidated. An additional challenge is that the QT-value at risk of TdP varies with heart rate, with the slower the heart rate, the greater the risk of TdP. This paper presents an explainable algorithm that uses an understanding of human visual perception and expert ECG interpretation to automate the detection of QT-prolongation at risk of TdP regardless of heart rate and T-wave morphology. It was tested on a large number of ECGs (n=5050) with variable QT-intervals at varying heart rates, acquired from a clinical trial that assessed the effect of four known QT-prolonging drugs versus placebo on healthy subjects. The algorithm yielded a balanced accuracy of 0.97, sensitivity of 0.94, specificity of 0.99, F1-score of 0.88, ROC (AUC) of 0.98, precision-recall (AUC) of 0.88, and Matthews correlation coefficient (MCC) of 0.88. The results indicate that a prolonged ventricular repolarisation area can be a significant risk predictor of TdP, and detection of this is potentially easier and more reliable to automate than measuring the QT-interval distance directly. The proposed algorithm can be visualised using pseudo-colour on the ECG trace, thus intuitively 'explaining' how its decision was made, which results of a focus group show may help people to self-monitor QT-prolongation, as well as ensuring clinicians can validate its results.