Manifest Health
Uncover Best Practice for Collecting Certificates of Diagnosis (CODs)
Rob Ramirez -Chief Strategy Officer, Manifest Health
Are You Considering CODs?
As Certificates of Diagnosis become part of the normal data collection process for market research studies, it is important to begin discussions on best practices. This is not only cricital to enhance participation, but we must also remain empathetic with patient when requesting personal health information. This paper share some of the best practice Manifest Health has observed related to CODs.
Patient willingness to upload CODs depends heavily on clarity, empathy and trus in the recruiting partner.
Certificates of Diagnosis (CODs) serve as crucial documentation that validates the treatment or diagnosis of a patient's condition. In recent years, the demand for CODs has surged among study sponsors seeking to ensure that data is collected from specific patient populations. However, many individuals encounter obstacles when asked to upload their personal health information. The primary reasons for pausing or dropping out of the study process include :
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Inability to Provide information : Some participiants may not have immediate access to the required documentation.
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Reluctance to Share Sensitive Information : Many individuals is are hesitant to disclose personal health details to third parties due to privacy concerns.
Background
Study Overview
To better understand the factors influencing participation in COD studies, Manifest Health conducted a comprehensive analysis of studies conducted in 2025. Our objective was to identify key drivers that could maximize patient participation in uploading their health information.
What This Study Examined
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COD requirements across multiple patient studies
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Patient participation behavior in 2025 studies
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Upload completion rates
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Common points of dropout
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Barriers and motivators behind COD submissions
Key Study Facts
Year analyzed : 2025
Study type : Patient=reported COD submissions
Device usage : -85% of participants uploaded via mobile
Population : Diverse patient cohorts
Focus : Dropout triggers & Participation motivators