Remote data collection in modern decentralized clinical trials has allowed research sponsors to eliminate various barriers and improve data quality. Gathering accurate and real-time data from a diverse pool of clinical research participants is now possible with remote data collection.
But to fully leverage this tech-supported clinical trial model, researchers must know the different data types for a remote collection that better fits their use case. For such clinical trial sponsors, here’s a brief guide.
What Are Remote Data Collection Clinical Trials?
Remote data collection refers to real-time data collection from clinical research study participants regardless of where they are. This data is facilitated through electronic data capture (EDC systems) and is directly entered into the clinical trial software.
Data collected for a clinical trial is known as Clinical Outcome Assessments (COA). Below we discuss the data types used in a remote collection that are currently practiced.
Patient-Reported Outcomes
Patient-reported outcomes (PRO) are the most common type of data collection in a clinical trial. However, in modern trials, electronic patient-reported outcome (ePRO) is the most common data type for remote collection.
Clinic-Reported Outcomes
Clinic-reported outcomes (ClinRO) is the data collected through medical practitioners, doctors, and healthcare providers in a clinical trial.
Observer-Reported Outcomes
Observer-reported outcomes (ObsRO) is the type of remote data that are collected through researchers and investigators.
Performance Reported Outcomes
Performance-reported outcomes (PRO) have become increasingly popular in recent years. Photographs, pulse oximetry, spirometry, gait analysis, and Actigraphy are some of the common types of PROs.
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