Se Jin Hong PhD, RN, Jinkyung Park PhD, MPH, RN, Soyeon Park BSN student, Bright Eze PhDc, RN, Susan G. Dorsey PhD, RN, FAAN, Angela Starkweather PhD, ACNP-BC, FAANP, FAAN, Kyounghae Kim PhD, RN
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This study aimed to synthesize the effectiveness of software-based interventions to promote self-management health outcomes among individuals with low back pain.</p>\n </section>\n \n <section>\n \n <h3> Design</h3>\n \n <p>A systematic review and meta-analysis was conducted.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement, relevant studies up to July 2022 were searched via four electronic databases: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, and Web of Science.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>4908 adults with low back pain who participated in 23 studies were included. Software-based interventions were effective in reducing fear avoidance (mean difference [MD] = −0.95, 95% CI: −1.45 to −0.44), pain catastrophizing (MD = −1.31, 95% CI: −1.84 to −0.78), disability (MD = −8.21, 95% CI: −13.02 to −3.39), and pain intensity (MD = −0.86, 95% CI: −1.17 to −0.55). Specifically, interventions that included an exercise component were more effective in reducing pain and disability. Additionally, cognitive behavioral therapy (CBT) intervention significantly reduced fear avoidance and pain catastrophizing but had no noticeable impact on disability and pain compared to standard treatment. The certainty of the evidence in this review varied from very low to high across outcomes. The heterogeneity of the study results was significant, suggesting that future studies in this area could optimize the design, time points, measures, and outcomes to strengthen the evidence.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Low back pain self-management interventions delivered through software-based programs effectively reduce pain intensity, disability, fear avoidance, and pain catastrophizing.</p>\n </section>\n \n <section>\n \n <h3> Clinical Relevance</h3>\n \n <p>Low back pain is among the most common reasons for seeking healthcare visits. Combining exercise and counseling through soft-based programs may effectively address this issue and its associated suffering and disability.</p>\n </section>\n </div>","PeriodicalId":51091,"journal":{"name":"Journal of Nursing Scholarship","volume":"56 2","pages":"206-226"},"PeriodicalIF":2.4000,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Software-based interventions for low back pain management: A systematic review and meta-analysis\",\"authors\":\"Se Jin Hong PhD, RN, Jinkyung Park PhD, MPH, RN, Soyeon Park BSN student, Bright Eze PhDc, RN, Susan G. 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Software-based interventions for low back pain management: A systematic review and meta-analysis
Introduction
Using software for self-management interventions can improve health outcomes for individuals with low back pain, but there is a dearth of research to confirm its effectiveness. Additionally, no known research has evaluated the effective elements of software-based interventions for low back pain self-management components. This study aimed to synthesize the effectiveness of software-based interventions to promote self-management health outcomes among individuals with low back pain.
Design
A systematic review and meta-analysis was conducted.
Methods
Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement, relevant studies up to July 2022 were searched via four electronic databases: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, and Web of Science.
Results
4908 adults with low back pain who participated in 23 studies were included. Software-based interventions were effective in reducing fear avoidance (mean difference [MD] = −0.95, 95% CI: −1.45 to −0.44), pain catastrophizing (MD = −1.31, 95% CI: −1.84 to −0.78), disability (MD = −8.21, 95% CI: −13.02 to −3.39), and pain intensity (MD = −0.86, 95% CI: −1.17 to −0.55). Specifically, interventions that included an exercise component were more effective in reducing pain and disability. Additionally, cognitive behavioral therapy (CBT) intervention significantly reduced fear avoidance and pain catastrophizing but had no noticeable impact on disability and pain compared to standard treatment. The certainty of the evidence in this review varied from very low to high across outcomes. The heterogeneity of the study results was significant, suggesting that future studies in this area could optimize the design, time points, measures, and outcomes to strengthen the evidence.
Conclusions
Low back pain self-management interventions delivered through software-based programs effectively reduce pain intensity, disability, fear avoidance, and pain catastrophizing.
Clinical Relevance
Low back pain is among the most common reasons for seeking healthcare visits. Combining exercise and counseling through soft-based programs may effectively address this issue and its associated suffering and disability.
期刊介绍:
This widely read and respected journal features peer-reviewed, thought-provoking articles representing research by some of the world’s leading nurse researchers.
Reaching health professionals, faculty and students in 103 countries, the Journal of Nursing Scholarship is focused on health of people throughout the world. It is the official journal of Sigma Theta Tau International and it reflects the society’s dedication to providing the tools necessary to improve nursing care around the world.