Internet survey on factors associated with care-seeking behaviours of people with chronic musculoskeletal pain in Japan.

Purpose: Many people with chronic musculoskeletal pain (CMP) seek healthcare from conventional and complementary and alternative medicine. However, treatment/therapy is not always adequate, patients often change healthcare providers, and some patients are left untreated. This study clarified care-seeking behaviours and explored factors behind the behaviours in people with CMP. Methods: Using a Japanese cross-sectional online survey, participants aged ≥ 20 years with non-cancer/fracture CMP lasting for ≥ 6 months and presenting ≤1 month, interfering with daily living activities and/or work were enrolled. We summarized and analysed the characteristics and factors associated with choice of healthcare providers; information on socio-demographics, including employment; ability to use healthcare, including income; and need for healthcare, including pain intensity, using a logistic regression model. Results: Among the 9105 respondents, 24.5% consulted physicians, 18.3% complementary and alternative medicine practitioners, and 57.2% were untreated. More respondents who had moderate-severe pain visited physician, more regularly employed and with high income visited complementary and alternative medicine, and less respondents who had moderate-severe pain were untreated. These were found to be associated with the respective healthcare use versus untreated. Conclusions: People with severe conditions, higher income and regular employment, and less severe conditions have visited physicians, complementary and alternative medicine practitioners and none, respectively. By applying this result at each type of healthcare provider, it may be possible to treat patients more appropriately.

Predictive model for major complications 2 years after corrective spine surgery for adult spinal deformity.

PURPOSE: ASD surgery improves a patient's health-related quality of life, but it has a high complication rate. The aim of this study was to create a predictive model for complications after surgical treatment for adult spinal deformity (ASD), using spinal alignment, demographic data, and surgical invasiveness. METHODS: This study included 195 surgically treated ASD patients who were > 50 years old and had 2-year follow-up from multicenter database. Variables which included age, gender, BMI, BMD, frailty, fusion level, UIV and LIV, primary or revision surgery, pedicle subtraction osteotomy, spinal alignment, Schwab-SRS type, surgical time, and blood loss were recorded and analyzed at least 2 years after surgery. Decision-making trees for 2-year postoperative complications were constructed and validated by a 7:3 data split for training and testing. External validation was performed for 25 ASD patients who had surgery at a different hospital. RESULTS: Complications developed in 48% of the training samples. Almost half of the complications developed in late post-op period, and implant-related complications were the most common complication at 2 years after surgery. Univariate analyses showed that BMD, frailty, PSO, LIV, PI-LL, and EBL were risk factors for complications. Multivariate analysis showed that low BMD, PI-LL > 30°, and frailty were independent risk factors for complications. In the testing samples, our predictive model was 92% accurate with an area under the receiver operating characteristic curve of 0.963 and 84% accurate in the external validation. CONCLUSION: A successful model was developed for predicting surgical complications. Our model could inform physicians about the risk of complications in ASD patients in the 2-year postoperative period. These slides can be retrieved under Electronic Supplementary Material.