Genentech via Coursera

Data Sciences in Pharma - Patient Centered Outcomes Research

Name: Data Sciences in Pharma - Patient Centered Outcomes Research
Rating: 4.5 (24 reviews)

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Overview

The course is targeted toward people who are interested in how patient experience data and clinical outcome assessment (COA) data can be used as evidence across drug development, in the pharmaceutical industry. By the end of the course you will better understand how this data is collected and analysed to evidence how patients feel, function or survive in the context of a clinical trial. More specifically, the course will cover: i) a background to COAs; ii) a background to patient experience data; iii) how to select, develop/modify and validate COAs using qualitative data (a) and psychometrics (b); iv) interpreting data on a COA; v) measuring treatment related tolerability via patient reported outcomes; vi) Common COA data outputs.

No experience in the pharmaceutical industry is needed for this course, but it is beneficial. This is an introductory course so an interest in qualitative and quantitative data and some basic knowledge in data analytics and statistics will be helpful for some lessons but is not required.

Syllabus 4

An introduction to clinical outcome assessments and patient experience data 2.5 hours
This module will cover a background of clinical outcome assessments (COAs) and patient experience data, what they are and what they consist of, how this data fits into drug development and the importance of this data as evidence to the external environement (such as health authorities) across the d…
How is a Clinical Outcome Assessment selected, developed or modified and validated? -Qualitative research 2.5 hours
This Module will discuss ways in which qualitative research is used to select, develop, modify or validate a COA. The amount of qualitative research study teams need to conduct can depend on how much qualitative research for the concept of interest in the context of use is already publically availa…
How is a Clinical Outcome Assessment selected, developed or modified and validated? -Quantitative research 2 hours
This Module will discuss some of the common quantitative methods used when selecting, developing, modifying and validating a COA. This will include a background to psychometrics and the different properties that are considered for classical test therory and item response theory. It will also touch…
Common COA applications in clinical trials 2 hours
This module will provide an understanding of a how patient reported outcomes (PROs) are used to measure treatment related tolerability, with a focus on a commonly used measure called the PRO-CTCAE as well as common COA outputs and considerations when interpreting COA data

Advantages and disadvantages

Advantages

Structured courses with graded quizzes, assignments and deadlines you can reset.
A shareable certificate from the university or company when you pay.
Financial aid is often approved for students in India (apply 15 days before you need it).
Self-paced: start any time.
A clear syllabus (4 parts) you can see before you start.

Disadvantages

Paid after a 7-day free trial (Coursera Plus or per course).
Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.