生物心理社会模型
医学
社会心理的
研究诊断标准
疼痛
物理疗法
慢性疼痛
精神科
作者
Maria Hietaharju,Ritva Näpänkangas,Kirsi Sipilä,Tuija Teerijoki‐Oksa,Johanna Tanner,Pentti Kemppainen,Mimmi Tolvanen,Tuija Suvinen
出处
期刊:Journal of oral and facial pain and headache
[Quintessence Publishing]
日期:2021-10-01
卷期号:: 303-316
被引量:3
摘要
To compare the suitability of Graded Chronic Pain Scale (GCPS) pain intensity and interference assessments (GCPS version 1.0 vs 2.0) for the biopsychosocial screening and subtyping of Finnish tertiary care referral patients with TMD pain.Altogether, 197 TMD pain patients participated in this study. All patients received Axis II specialist-level psychosocial questionnaires from the Diagnostic Criteria for Temporomandibular Disorders (DC/TMD-FIN) and Research Diagnostic Criteria for Temporomandibular Disorders (RDC/TMD-FIN), as well as questionnaires for the assessment of additional pain-related, biopsychosocial, and treatment-related variables. Clinical examinations were performed according to the DC/TMD Axis I protocol. The patients were categorized into TMD subtypes 1, 2, and 3 (GCPS I and II-low; II-high; and III and IV, respectively) based on their biopsychosocial profiles according to GCPS versions 1.0 and 2.0.The distribution of TMD pain patients into TMD subtypes was similar according to the GCPS 1.0 compared to the GCPS 2.0. Over 50% of the patients were moderately (TMD subtype 2) or severely (TMD subtype 3) compromised. Patients in subtype 3 experienced biopsychosocial symptoms and reported previous health care visits significantly more often than patients in subtypes 1 and 2. Patients in subtype 2 reported intermediate biopsychosocial burden compared to subtypes 1 and 3.TMD pain patients differ in their biopsychosocial profiles, and, similarly to the GCPS 1.0, the GCPS 2.0 is a suitable instrument for categorizing TMD tertiary care pain patients into three biopsychosocially relevant TMD subtypes. The GCPS 2.0 can be regarded as a suitable initial screening tool for adjunct personalized or comprehensive multidisciplinary assessment.
科研通智能强力驱动
Strongly Powered by AbleSci AI