None listed
Conditions
Interventions
Intervention1: Oral cancer screening by community health workers using Berry.care mobile app: Berry.care, an AI based oral cancer screening mobile app will be used by an onsite community health care w
Sponsors
NIH National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Eligibility
Inclusion criteria
Inclusion criteria: Male and female participants from factory settings who attend dental camps for screening in Bangalore (Karnataka) and krishnagiri (Tamil Nadu) districts
Exclusion criteria
Exclusion criteria: 1.Individuals with previously diagnosed and treated oral cancer will be excluded to focus on the effectiveness of the app in supporting screening processes for premalignant or early cancerous lesions. 2.Persons who fail the trismus test (unable to open their mouth sufficiently to insert 3 fingers), because appropriate images cannot be captured. 3.Persons with any major trauma / medical condition / major surgeries / facial nerve palsies/ deformity or any other condition affecting acquisition of images from the oral cavity
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| Validity (sensitivity and specificity) of the Berry.care app in identifying oral potentially malignant disordersTimepoint: Individuals will undergo oral cancer screening once at the time of recruitment | — |
Secondary
| Measure | Time frame |
|---|---|
| Usability of the berry.care app - metrics of user satisfaction, ease of use, and time on task as well as insights for design improvements to the berry.care app will be obtained from usability tests with end usersTimepoint: Healthcare workers will perform usability tests on the berry.care app once at the time of recruitment. | — |
Countries
India
Contacts
Public ContactDr Ryan Fernandez
St Johns Research Institute
Outcome results
None listed