The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

The Effective Statistician - in association with PSI

Adherence – what is state of the art now?

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  • Patient adherence is affected by different surrounding factors in the lifestyle and personal perspectives of the patients involved in a clinical trial
  • Technological innovation makes it easier for patient adherence to progress; however, implementing these technological inclusions may present challenges to researchers.
  • Hearing the voice of the patients is critical to determining strategies that can help improve patient adherence in clinical studies.
  • Patient-centered goals could drive patient adherence to increase fast especially because the participants the benefits that they can get from strictly following the schedule and dosage of their medication.
  • Addressing personal fears and barriers through proper communication with the patients is an important aspect of successful clinical trials. It can only be achieved through the involvement of personally invested researchers who are more than willing to reach out to the participants and hear out their concerns.

To be a better statistician, learning how to influence patient adherence positively can help improve not only your capacity to reach your goals but also your capacity to motivate the implementation of change in different fields of healthcare.

Reference: How the EMERGE guideline on medication adherence can improve the quality of clinical trials

Learn more about adherence and other topics that will help you in becoming an effective statistician.

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About this podcast

The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.

by Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry


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