In this one-day, hands-on ‘studyathon’ for clinicians working in the field of hand and wrist disorders, we will jointly perform an outcome study with big data on hand and wrist disorders. The concept of a studyathon is derived from a hackaton, where computer programmers work together is a short period of time on the same goal. In a studyathon, this goal is to perform a scientific study.
08.00 - 17.00
In introductory sessions, we will provide you with basic insight in research methods, data processing, and analytic tools. After this, in small groups, you will develop your own research question and answer this questions with the help of experienced data scientists, using our own Supexor dataset and/or a large dataset from The Netherlands. The end goal is an answer to the research question that was posed and draft a first version of a scientific manuscript in a team science approach.
The goals for the day thus are twofold:
In healthcare, there is an increasing presence of digital data, comprising patient outcomes collected in daily clinical care. These ‘big data’, like our Supexor data, can be extremely valuable for answering clinical questions on, for example, the expected outcome of specific treatments, the influence of patient- and disease characteristics on outcome, the effect of different treatments in similar patients, or the effect of a change in treatment policy.
While big data are widely accepted as potentially very valuable, using them for answering clinical questions can be challenging and requires a different approach than more experimental, small-scale, single-question clinical studies. Specific knowledge on the strengths and weaknesses of using real-world clinical data and on the specific research methodology is needed. In addition, analyzing large data sets with real-world clinical data requires modern tools and specific statistical analyses to provide valid answers to clinical questions.
This course is primarily aimed at clinicians working with Supexor in their clinics, who are interested in learning about how big data can be used to answer clinical questions. However, clinicians and researchers from outside our Supexor-partnership can also participate. Because of the small scale working group format, professionals with varying levels of expertise in research methods, statistical analysis, and data science can participate and expand their knowledge on this topic.
Although not obligatory, we will provide participants with reading material and instructional videos on basic statistical concepts and analysis tools that will be used during the course. Participants will be asked to suggest clinical questions related to hand and wrist disorders to be answered when routinely collected outcome data are available.
Ruud Selles¹, Harm Slijper¹, Lisa Hoogendam¹, Jaimy Koopman¹, Yara van Kooij², Maurizio Calcagni³ and Myrna Gunning³.
1. Erasmus MC. 2. Xpert Handtherapie 3. Universitätsspital Zürich