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Baking Diversity into the COA Cake – Clinical Outcome Assessments and LGBTQIA+ Patients
Clinical Outcome Assessments and LGBTQIA+ PatientsA transgender man takes part in a Patient Reported Outcome (PRO) assessment for a new drug. The firsttwo items he reads on the questionnaire are: What was your sex at birth, male or female? Do you menstruate? Why might...
What Difference Does a Day Make?
Missing data in daily diariesWhy do we sometimes collect data from patients daily, rather than weekly or monthly? One of the main reasons is variability in the patient’s condition. Take the example of asthma. Over a week or a month, an asthma sufferer may experience a...
Say What? The Importance of Plain Language in Academic Publications
Let’s try a little roleplay. Imagine you are a government official or a family doctor. You’re on a committee considering the licensing of a new drug. It’s the first meeting after lunch, so you’re not at your sharpest. You need the next session to be sharp and focused....
How reliable can a single item be?
Meet Joanne. Jo has a nasty and persistent foot fungus, so agrees to take part in the trial of a new fungal cream. She is given a questionnaire and asked to rate her fungal problem on a 0-10 scale at the start of the trial, and then again when it’s over. At that...
ISOQOL 31st Annual Conference
Piper will be attending the 31st Annual Conference of the International Society for Quality of Life Research in Cologne from 13th October to 16th October. She will be speaking on Navigating Digital Health Technologies and Broadening the Scope of Health Outcomes...
Case Study: Item Response Theory
What do you do if your carefully-constructed questionnaire is not detecting change in a treatment group? Often this is because of the way that the questionnaire items are weighted. Fortunately, we can use Item Response Theory to develop a more sensitive scoring...
Case Study: Digital Health Technology
What happens when you have a treatment that is beneficial according to all measures, apart from the daily step count data generated by digital technology? We can help you to resolve this problem by taking the data analysis a step further.Taking Analysis a Step...
Case Study: Small Sample Size Psychometrics
If your trial has a small sample size, it can be tough to demonstrate that a measure is effective. We specialize in finding innovative ways to solve the small sample size problem for our clients.Taking a Graphical ApproachThe Problem The client was searching for...
Using Confirmatory Factor Analysis to Estimate Present State Bias in Transition Ratings.
Published in Journal of Clinical Epidemiology, 2022 In clinical trials, patient-reported transition ratings ideally capture the change between a patient’s baseline health state and a present state. However, evidence suggests that these transition ratings may be more...