2023
DOI: 10.1007/s40271-023-00618-x
|View full text |Cite
|
Sign up to set email alerts
|

Focus Groups to Inform the Development of a Patient-Reported Outcome Measure (PROM) for Temporomandibular Joint Disorders (TMDs)

Abstract: Background Understanding symptoms of temporomandibular joint disorders (TMDs) can help doctors and patients document, monitor, and manage the disease and help researchers evaluate interventions. Patients with TMDs experience symptoms ranging from mild to severe, primarily in the head and neck region. This study describes findings from formative patient focus groups to capture, categorize, and prioritize symptoms of TMDs towards the development of a patient-reported outcome measure (PROM). … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(1 citation statement)
references
References 46 publications
0
1
0
Order By: Relevance
“…However, for that, TMD science also has to better embrace patients' outcomes to provide solid evidence of safety and effectiveness in the long term (36). Some options include developing identified data elements and technological platforms that facilitate the standardization and analysis of large data that capture clinical, laboratory, and patient-generated data in an integrated ecosystem (37,38), including the adoption of wearable and mobile technologies (39,40). In addition, there is a need for the corresponding use of appropriate analysis methods for what can become multivariate within-person time-series data (41, 42) that will achieve better understanding of the chronic pain disorder as a process occurring within the patient's life (43,44).…”
Section: Advancing the Sciencementioning
confidence: 99%
“…However, for that, TMD science also has to better embrace patients' outcomes to provide solid evidence of safety and effectiveness in the long term (36). Some options include developing identified data elements and technological platforms that facilitate the standardization and analysis of large data that capture clinical, laboratory, and patient-generated data in an integrated ecosystem (37,38), including the adoption of wearable and mobile technologies (39,40). In addition, there is a need for the corresponding use of appropriate analysis methods for what can become multivariate within-person time-series data (41, 42) that will achieve better understanding of the chronic pain disorder as a process occurring within the patient's life (43,44).…”
Section: Advancing the Sciencementioning
confidence: 99%