A baby nutrition client sought to create a database of stool images that could be used for internal software development purposes.
A baby nutrition client sought to create a database of stool images that could be used for internal software development purposes.
ObvioHealth recruited 100 mothers of toddlers virtually. We developed the protocol, eCRF, prescreening and eICF. Mothers captured images of their baby’s stools using their smart phones. They were trained to grade them using the Brussels scale. Images were stratified into 7 stool consistency types and validated by two expert scorers.
• Enrollment target was reached in 12 weeks.
• 2,366 images collected.
• The virtual study design facilitated strong engagement resulting in a 95% retention rate.
• Expert scorers identified some biases in mothers’ scores, highlighting a tendency to over-report those within the ‘normal’ range.
A baby nutrition client sought to create a database of stool images that could be used for internal software development purposes.
ObvioHealth recruited 100 mothers of toddlers virtually. We developed the protocol, eCRF, prescreening and eICF. Mothers captured images of their baby’s stools using their smart phones. They were trained to grade them using the Brussels scale. Images were stratified into 7 stool consistency types and validated by two expert scorers.
• Enrollment target was reached in 12 weeks.
• 2,366 images collected.
• The virtual study design facilitated strong engagement resulting in a 95% retention rate.
• Expert scorers identified some biases in mothers’ scores, highlighting a tendency to over-report those within the ‘normal’ range.
A baby nutrition client sought to create a database of stool images that could be used for internal software development purposes.
A baby nutrition client sought to create a database of stool images that could be used for internal software development purposes.
ObvioHealth recruited 100 mothers of toddlers virtually. We developed the protocol, eCRF, prescreening and eICF. Mothers captured images of their baby’s stools using their smart phones. They were trained to grade them using the Brussels scale. Images were stratified into 7 stool consistency types and validated by two expert scorers.
• Enrollment target was reached in 12 weeks.
• 2,366 images collected.
• The virtual study design facilitated strong engagement resulting in a 95% retention rate.
• Expert scorers identified some biases in mothers’ scores, highlighting a tendency to over-report those within the ‘normal’ range.
A baby nutrition client sought to create a database of stool images that could be used for internal software development purposes.
ObvioHealth recruited 100 mothers of toddlers virtually. We developed the protocol, eCRF, prescreening and eICF. Mothers captured images of their baby’s stools using their smart phones. They were trained to grade them using the Brussels scale. Images were stratified into 7 stool consistency types and validated by two expert scorers.
• Enrollment target was reached in 12 weeks.
• 2,366 images collected.
• The virtual study design facilitated strong engagement resulting in a 95% retention rate.
• Expert scorers identified some biases in mothers’ scores, highlighting a tendency to over-report those within the ‘normal’ range.
A baby nutrition client sought to create a database of stool images that could be used for internal software development purposes.
ObvioHealth recruited 100 mothers of toddlers virtually. We developed the protocol, eCRF, prescreening and eICF. Mothers captured images of their baby’s stools using their smart phones. They were trained to grade them using the Brussels scale. Images were stratified into 7 stool consistency types and validated by two expert scorers.
• Enrollment target was reached in 12 weeks.
• 2,366 images collected.
• The virtual study design facilitated strong engagement resulting in a 95% retention rate.
• Expert scorers identified some biases in mothers’ scores, highlighting a tendency to over-report those within the ‘normal’ range.
A baby nutrition client sought to create a database of stool images that could be used for internal software development purposes.
A baby nutrition client sought to create a database of stool images that could be used for internal software development purposes.
ObvioHealth recruited 100 mothers of toddlers virtually. We developed the protocol, eCRF, prescreening and eICF. Mothers captured images of their baby’s stools using their smart phones. They were trained to grade them using the Brussels scale. Images were stratified into 7 stool consistency types and validated by two expert scorers.
• Enrollment target was reached in 12 weeks.
• 2,366 images collected.
• The virtual study design facilitated strong engagement resulting in a 95% retention rate.
• Expert scorers identified some biases in mothers’ scores, highlighting a tendency to over-report those within the ‘normal’ range.
A baby nutrition client sought to create a database of stool images that could be used for internal software development purposes.
A baby nutrition client sought to create a database of stool images that could be used for internal software development purposes.
ObvioHealth recruited 100 mothers of toddlers virtually. We developed the protocol, eCRF, prescreening and eICF. Mothers captured images of their baby’s stools using their smart phones. They were trained to grade them using the Brussels scale. Images were stratified into 7 stool consistency types and validated by two expert scorers.
• Enrollment target was reached in 12 weeks.
• 2,366 images collected.
• The virtual study design facilitated strong engagement resulting in a 95% retention rate.
• Expert scorers identified some biases in mothers’ scores, highlighting a tendency to over-report those within the ‘normal’ range.
VaxArt needed solutions for evaluating the safety and immunogenicity of its orally administered norovirus vaccine. Of particular importance was incorporating a way to quickly detect severe reactogenicity symptoms during the first week following vaccine administration.
A government agency is aiming to identify digital biomarkers of depressive and anxious feelings. The agency needed to capture both objective and subjective data for analysis.