A Focus Group on Dental Pain Complaints with General Medical Practitioners: Developing a Treatment Algorithm

Loading...
Thumbnail Image
File version

Version of Record (VoR)

Author(s)
Carter, Ava
Carter, Geoffrey
Abbey, Robyn
Primary Supervisor
Other Supervisors
Editor(s)
Date
2016
Size
File type(s)
Location
Abstract

Objective. The differential diagnosis of pain in the mouth can be challenging for general medical practitioners (GMPs) as many different dental problems can present with similar signs and symptoms. This study aimed to create a treatment algorithm for GMPs to effectively and appropriately refer the patients and prescribe antibiotics. Design. The study design is comprised of qualitative focus group discussions. Setting and Subjects. Groups of GMPs within the Gold Coast and Brisbane urban and city regions. Outcome Measures. Content thematically analysed and treatment algorithm developed. Results. There were 5 focus groups with 8-9 participants per group. Addressing whether antibiotics should be given to patients with dental pain was considered very important toGMPs to prevent overtreatment and creating antibiotic resistance.Many practitionerswere unsure ofwhat the different forms of dental pains represent. 90% of the practitioners involved agreed that the treatment algorithm was useful to daily practice. Conclusion. Common dental complaints and infections are seldom surgical emergencies but can result in prolonged appointments for those GMPs who do not regularly deal with these issues.The treatment algorithm for referral processes and prescriptions was deemed easily downloadable and simple to interpret and detailed but succinct enough for clinical use by GMPs.

Journal Title

International Journal of Family Medicine

Conference Title
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement

© 2016 Ava Elizabeth Carter et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Item Access Status
Note

This publication has been entered into Griffith Research Online as an Advanced Online Version.

Access the data
Related item(s)
Subject

Medical and Health Sciences not elsewhere classified

Persistent link to this record
Citation
Collections