NCT02731703

Conventional, Overdenture and Palateless Overdenture Oral Health Impact Comparison Study

Evaluation of Patient Satisfaction Comparing Conventional, Overdenture and Palateless Overdenture Using Guided Maxillary Implant Placement
University of North Carolina, Chapel Hill·ClinicalTrials.gov·device·Device trialCompleted
View on ClinicalTrials.gov
Study focus
Disease/Condition
Jaw, Edentulous
Drug/Device/Intervention
Overdenture treatment
Study type
Observational
Intervention type
device
Sponsor & location
Primary sponsor
University of North Carolina, Chapel Hill
Location
Chapel Hill, United States of America
Timeline & enrollment
Phase
N/A
Start date
Apr 01, 2016
End date
Jan 04, 2023
Enrollment
14 participants
Primary outcome

Overall Patient satisfaction OHIP 49 score

Summary

This study will identify and enroll patients already scheduled to receive guided maxillary
 implant placement with palateless overdenture. Standard clinical practice will be followed
 for this multi-stage process. The study purpose is to evaluate the degree of satisfaction
 during the standard progression in order to determine at which post edentulous stage patients
 achieve maximum satisfaction using the Oral Health Impact Profile 49 (OHIP 49).

ICD-10 classifications
Dislocation of jawMottled teethDisorder of gingiva and edentulous alveolar ridge, unspecifiedOther disorders of gingiva and edentulous alveolar ridgeOther specified disorders of gingiva and edentulous alveolar ridge
Data source
Registry
ClinicalTrials.gov
Trial ID
NCT02731703
Type
Device Trial
About this record

Access comprehensive clinical trial information for NCT02731703 through Pure Global AI's free database. This phase not specified trial is sponsored by University of North Carolina, Chapel Hill and is currently Completed. The study focuses on Jaw, Edentulous. Target enrollment is 14 participants.

This page provides complete trial specifications, intervention details, outcomes, and location information. Pure Global AI offers free access to ClinicalTrials.gov data, helping medical device and pharmaceutical companies navigate clinical research efficiently.