 |
Publisher: Peytchinski Publishing Ltd.
ISSN: 1312-773X (Online)
Issue: 2024, vol. 30, issue4
Subject Area: Public Health
-
DOI: 10.5272/jimab.2024304.5789
Published online: 10 October 2024
Original article
J of IMAB. 2024 Oct-Dec;30(4):5789-5794
INNOVATIVE ADVANCED PHYSIOTHERAPY ALGORITHM FOR LOW BACK PAIN
Aleksandar Andreev1, 2
, Petya Parashkevova1
,
1) Department of Public Health, Faculty of Public Health and Health Care, "Angel Kanchev" University of Ruse, Bulgaria.
2) Medical center "Medika Expert", Ruse, Bulgaria.
ABSTRACT:
Introduction: Low back pain (LBP) is a prevalent issue with a wide array of causes necessitating varied therapeutic strategies. Given its significant impact on the global population and quality of life, innovative approaches in physiotherapy are essential.
Materials and Methods: This study was conducted at the Medica Expert Medical Center, where 29,786 primary examinations of individuals over 18 years old were reviewed. The study focuses on the development and application of an advanced physiotherapy algorithm designed to enhance classification and treatment modalities for LBP.
Results: In 2022, nearly half (47%) of the examinations were related to LBP, highlighting the need for specialized therapeutic approaches. The innovative algorithm implemented demonstrated substantial improvements in patient outcomes, including better pain management and enhanced mobility.
Discussion: The treatment-based classification system updated in 2015 was expanded to include a wider range of physiotherapy tasks, significantly aiding in the personalization and effectiveness of treatment protocols. This has implications for both the efficiency of clinical practice and patient quality of life.
Conclusion: The innovative advanced physiotherapy algorithm for LBP offers a detailed and adaptable approach that improves upon traditional classification systems. Its application has shown promising results in clinical practice, suggesting a substantial advancement in the management of LBP.
References: A comprehensive list of references from recent studies and significant literature supports the findings and methodologies applied in the study, including contributions from major health organizations and previous empirical research..
Keywords: physiotherapy, low back pain, rehabilitation,
- Download FULL TEXT /PDF 1188 KB/
Please cite this article as: Andreev A, Parashkevova P. Innovative Advanced Physiotherapy Algorithm for Low Back Pain. J of IMAB. 2024 Oct-Dec;30(4):5789-5794. [Crossref - 10.5272/jimab.2024304.5789]
Correspondence to: Petya Andreeva Parashkevova, "Angel Kanchev" University of Ruse; 8, Studentska Str., Ruse, Bulgaria; E-mail: parashkevova@uni-ruse.bg
REFERENCES:
1. Zlatkov Y. [Characteristics of lumbar pain.] [in Bulgarian] Knowledge Int J. 2020; 41(3):545-50. [Internet]
2. WHO Scientific Group on the Burden of Musculoskeletal Conditions at the Start of the New Millennium. The burden of musculoskeletal conditions at the start of the new millennium. World Health Organ Tech Rep Ser. 2003;919, 1-218, back cover. [PubMed]
3. Buchbinder R, Blyth FM, March LM, Brooks P, Woolf AD, Hoy DG. Placing the global burden of low back pain in context. Best Pract Res Clin Rheumatol. 2013 Oct;27(5):575-89. [PubMed]
4. Fehrmann E, Kotulla S, Fischer L, Kienbacher T, Tuechler K, Mair P, et al. The impact of age and gender on the ICF-based assessment of chronic low back pain. Disabil Rehabil. 2019 May;41(10):1190-9. [PubMed]
5. Harrison JE, Weber S, Jakob R, Chute CG. ICD-11: an international classification of diseases for the twenty-first century. BMC Med Inform Decis Mak. 2021 Nov 9;21(Suppl 6):206. [PubMed]
6. Chang A, Zhao H. Representation of specific diagnosis for low back pain using the 11th revision of international classification of diseases and related health problems: Perspectives of conventional medicine and traditional medicine. World J Tradit Chin Med. 2021 Apr-Jun;7(2):234. [Crossref]
7. Karaganova I, Mindova S. Dynamics of the clinical, functional and psychological manifestations of the patient after application of an experimental method of "biopsychosocial rehabilitation" in patients with chronic low back pain. Izvestia na SU–Ruse. 2020; 4:38-39.
8. Trifonova T. [How lumbo-sacral pain affects a person's psychosocial state.] [in Bulgarian] Eastern Acad J. 2021 Apr;1:118-26. [Internet]
9. Krajdzhikova L. [Manual methods for mobilization in musculoskeletal dysfunctions in the spine.] Sofia: Avangard prima. 2011. [in Bulgarian]
10. Mulchanova V. [Manual therapy for vertebrogenic pain.] Biblioteka 48. 2001. [in Bulgarian]
11. Hayden JA, van Tulder MW, Malmivaara AV, Koes BW. Meta-analysis: exercise therapy for nonspecific low back pain. Ann Intern Med. 2005 May 3;142(9):765-75. [PubMed]
12. Hayden JA, van Tulder MW, Tomlinson G. Systematic review: strategies for using exercise therapy to improve outcomes in chronic low back pain. Ann Intern Med. 2005 May 3;142(9):776-85. [PubMed]
13. Alrwaily M, Timko M, Schneider M, Stevans J, Bise C, Hariharan K, et al. Treatment-Based Classification System for Low Back Pain: Revision and Update. Phys Ther. 2016 Jul;96(7):1057-66. [PubMed]
Received: 12 March 2024
Published online: 10 October 2024