• Journal of Physiology & Pathology in Korean Medicine
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• v.25 no.1
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• pp.8-18
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• 2011

To have effective treatment for shoulder arm pain, we searched the cause, symptom, etiology, classification of the pain areas, acupuncture points, and muscles along the meridians, and acquired the following results. Shoulder-pain is mainly divided into the malfunction of viscera and entrails, damage due to the weakness of essence and qi, abnormal status of muscle function, change of joints, disease in the nerve and vessel, and the internal injury due to seven modes of emotions. Pain of shoulder joints are pain in the local area of shoulder joints, referred pain of shoulder, neck, and shoulder-arm, numbnes and swelling of muscle, and muslce weakness. Shoulder-arm pain is classified as four types of pain: shoulder-joint pain, shoulder-back pain, shoulder-chest pain, and shoulder-arm-elbow pain. And shoulder-arm-elbow pain is again divided into the shoulder-blade pain, shoulder-arm pain, shoulder-elbow pain. The related meridians on shoulder pain are the three yin meridians of hand, Kidney Meridian, Conception Meridian, three yang meridians of hand, Bladder Meridian, Governor Meridian Acupuncture points for shoulder pain are in the acupuncture points of the 10 meridians and a-shi points. Thre related meridian muscles on shoulder-pain are the three yin and yang meridians of hand, and their related muscles are the ones that are connected with the front, back, and chest side muscles of shoulder joints, and the ones that are connected with the front and back side muscles of arm.

• The Journal of Korean Physical Therapy
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• v.30 no.6
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• pp.239-245
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• 2018

Purpose: This study was to identify international classification of functioning, disability and health (ICF) categories that could be linked conceptually to disability of arm, shoulder and hand (DASH) items and short form of health survey 36 (SF-36) items for persons with shoulder pain. Methods: Linkage between each item in DASH and SF-36 and the categories in the ICF were assessed. The linking process was performed by ten health professionals following the linking rule. One hundred four patients with shoulder pain were enrolled from 12 private clinic outpatient departments and participated in this study. Pearson correlation coefficients were used to assess the relationships between each scale item and the linked ICF code. Results: Thirty DASH items were able to be linked to 30 ICF codes, whereas the 36 items in SF-36 were only linked to 17 ICF codes. General health items included in SF-36 could not be linked to a relevant ICF concept. There was a high correlation between the two measurement tools and the linked ICF codes, DASH and its ICF code list (r =0.91), SF-36-Physical Health and its code list (r =-0.62), and SF-36-Mental Health and its code list (r =-0.72). Conclusion: The results suggest that concepts within each item in DASH can be linked to ICF codes for patients with shoulder pain, however, the concepts in the SF-36 items had limited linkage to ICF codes. The shoulder-specific functional tool, DASH can be expressed with ICF codes and, therefore, its use can promote data standardization and improve communication between professionals.

• Journal of the Korean Society of Physical Medicine
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• v.19 no.1
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• pp.143-154
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• 2024

PURPOSE: The present study was conducted to improve the understanding of the Korean Standard Functional, Disability, and Health Classification (KCF) and its ease of use in the clinical domain of the musculoskeletal system by comparing, analyzing, and linking the KCF codes with items from patient-reported outcome measures (PROMs), which are currently mainly used to evaluate patients with neck, shoulder, waist, and knee pain. METHODS: The items of the most widely used PROMs, the Neck Disability Index (NDI), Disabilities of the Arm, Shoulder, and Hand (DASH) scores, Oswestry Disability Index (ODI), Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), and the codes of the KCF were linked by two experts according to the linking rules. RESULTS: The concordance between the items of each of the PROMs and the KCF code linked by the two experts was NDI,86.4%86.4%, DASH 83.3%, ODI 92.0%, and WOMAC 80.7%. The NDI, DASH, and WOMAC indexes were found to comprise items corresponding to physical function, activity, and participation areas, and were linked to 22, 43, and 31 KCF codes, respectively. In addition to these two areas, the ODI included items related to environmental factors and was linked to 25 codes (duplicated codes are treated as one). CONCLUSION: This research can be used by adding the KCF code to the questions of the currently used evaluation tool. This coding can be easily applied and will contribute to the easy understanding of the KCF.