A Treatment based Classification Approach to Mechanical Lesion of Shoulder for Conservative Management and Improvement in Clinical Outcomes.
Introduction: A treatment based classification approach is where subjects are sub grouped to receive lesion specific interventions and this study presents similar approach for mechanical lesions of shoulder. Research has shown that Treatment Based Classification (TBC) system can enable and aid clini...
| Published in: | Indian Journal of Physiotherapy & Occupational Therapy Vol. 10; no. 1; pp. 87 - 93 |
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| Main Authors: | , |
| Format: | algorithm case study research Journal Article |
| Published: |
Institute of Medico-legal publications Pvt Ltd
Jan-Mar2016
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=114036708&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 114036708 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09735674 6BWZ jtl: Indian Journal of Physiotherapy & Occupational Therapy issn: 09735674 maglogo: N pubinfo: dt: Jan-Mar2016 vid: 10 iid: 1 pid: 50801 pub: Institute of Medico-legal publications Pvt Ltd artinfo: ui: 114036708 114036708 114036708 10.5958/0973-5674.2016.00019.8 114036708 ppf: 87 ppct: 6 formats: fmt: @attributes: type: P tig: atl: A Treatment based Classification Approach to Mechanical Lesion of Shoulder for Conservative Management and Improvement in Clinical Outcomes. aug: au: Saketa, J. Subbiah, K. affil: Physiotherapy, Sri Ramachandra University, Porur, Chennai sug: subj: Shoulder Pain Therapy Shoulder Injuries Classification Shoulder Injuries Therapy Shoulder Pain Classification Human Treatment Outcomes Range of Motion Biophysical Instruments Visual Analog Scaling Adult Female Aged Therapeutic Exercise Male Middle Age Algorithms Adult: 19-44 years Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Introduction: A treatment based classification approach is where subjects are sub grouped to receive lesion specific interventions and this study presents similar approach for mechanical lesions of shoulder. Research has shown that Treatment Based Classification (TBC) system can enable and aid clinical research by identifying evidence based practice and this classification strategy had proven to be effective in neck and low back regions. Aim of the Study: To formulate and establish the clinical utility of a treatment based classification for mechanical lesions of shoulder and to aid clinicians by providing a user friendly reasoning algorithm for effective patient management. Methodology: The construction of TBC comprises of 3 steps (i) formulating Treatment Based Classification algorithm (ii) content validation by expert opinion and (iii) application on patient population. The algorithm enables categorizing the subjects into 7 possible sub groups based on unique markers. This case study included 6 subjects for analysis. Discussion: By using the proposed Treatment Based Classification system, it was evident that the process of examination became easy and enables lesion specific interventions to the subjects as directed by the significant markers contained in the categorization. All the 6 subjects included in the study were benefited by using TBC approach by receiving matched interventions, had significant improvement in pain, ROM and shoulder function. Conclusion: The proposed treatment based classification eases the clinical decision making process and effectively categorizes the subjects with mechanical shoulder dysfunction to be able to receive matched interventions resulting in better outcome. pubtype: Academic Journal doctype: algorithm case study research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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