Objective To construct the training program for the digital and intelligent capabilities of specialized nurses in the Central Sterile Supply Department(CSSD),and conduct preliminary practice to provide talent support for the intelligent development of CSSD.Methods From February to April 2024,based on the core technologies of digital intelligence and related core capabilities,a training program for digital intelligence-related competencies of CSSD specialized nurses was constructed using literature review and the Delphi expert consultation method.From July to August 2024,the program was initially implemented in the training of CSSD specialized nurses.The nurses'information competency before and after the training was compared,and the nurses' satisfaction with the digital intelligence-related training program was assessed.Results This study conducted 2 rounds of expert consultation via questionnaire.The effective recovery rate of the questionnaires in both rounds was 100％.The expert authority coefficients were 0.790 and 0.800,respectively,and the variation coefficients ranged from 0 to 0.229 and 0 to 0.105.Ultimately,a training program for the digital-related competencies of CSSD specialty nurses was established,which includes 4 components:training objectives,training content,training methods,and assessment methods.Specifically,there were 3 indicators at the first level and 14 at the second level for training objectives,6 indicators at the first level and 32 at the second level for training content,and 6 indicators at the first level for training methods and assessment methods.After the implementation of the training program,the information competency of the nurses in all dimensions and the total score were significantly higher than those before training(P＜0.05).Moreover,the average scores for the training content,training methods,and assessment methods were all above 3 points,indicating a high overall satisfaction among the nurses.Conclusion The construction process of the training program for the digital and intelligent capabilities of CSSD specialty nurses is scientific and reliable.The content is highly practical and distinctive in its specialty.The training methods and assessment approaches are diverse.This program can enhance nurses' information competency and provide a reference for the implementation of digital and intelligent training for CSSD specialty nurses.

Objective:To analyze the efficacy of phantom-less quantitative computer tomography (PL-QCT) for the diagnosis of osteoporosis in patients with lumbar degenerative diseases.Methods:From October 2021 to October 2023, a total of 1 248 patients with lumbar degenerative disease who did not receive anti-osteoporosis treatment in the Department of Spine Surgery, Tianjin Hospital were retrospectively analyzed. There were 520 males and 728 females, aged 62.31±9.37 years (range, 40-87 years), height 1.66±0.08 m (range, 1.43-1.89 m), weight 69.04±8.27 kg (range, 49-93 kg). The mean body mass index was 26.11±3.67 kg/m 2 (range, 14.40-37.11 kg/m 2). Dual-energy X-ray absorptiometry (DXA) and PL-QCT were used to diagnose osteoporosis, and the detection rates of the two diagnostic methods were compared. The receiver operating characteristic (ROC) curve of PL-QCT for the diagnosis of osteoporosis was drawn, the area under the curve (AUC) and 95% confidence interval (CI), sensitivity and specificity were calculated. Results:Among 1 248 patients with lumbar degenerative diseases, 626 (50.2%) were diagnosed as osteoporosis by PL-QCT, 423(33.9%) were diagnosed by spine DXA, 488(39.1%) were diagnosed by hip DXA and 539 patients(43.2%) were diagnosed by dual-site DXA. The detection rate of osteoporosis of PL-QCT was higher than that of spine DXA (χ 2=193.557, P<0.001), hip DXA (χ 2=322.201, P<0.001) and dual-site DXA (χ 2=94.683, P<0.001), and the difference was statistically significant. Taking the diagnostic results of spinal DXA for osteoporosis as a reference, the ROC curve of PL-QCT for the diagnosis of osteoporosis showed a sensitivity of 79%, a specificity of 81%, and an AUC and 95% CI of 0.82(0.79, 0.85). Taking the diagnostic results of hip DXA for osteoporosis as a reference, the ROC curve of PL-QCT for the diagnosis of osteoporosis showed a sensitivity of 85%, a specificity of 55%, and an AUC and 95% CI of 0.75(0.71, 0.78). Taking the diagnostic results of two-site DXA for osteoporosis as a reference, the ROC curve of PL-QCT for the diagnosis of osteoporosis showed a sensitivity of 72%, a specificity of 75%, and an AUC and 95% CI of 0.81(0.78, 0.83). Conclusion:Compared with DXA, PL-QCT has a higher detection rate of osteoporosis in patients with degenerative lumbar spine disease and good diagnostic efficacy.

Objective:To explore the effect of vitamin D supplement on chronic musculoskeletal pain (CMP) in patients with ankylosing spondylitis (AS) through a cohort study and provide evidence for optimizing vitamin D supplement strategies in AS management.Methods:Based on the large-scale prospective cohort of the UK Biobank, a total of 1 497 middle-aged and older patients diagnosed with AS were included. Patients were categorized into three groups according to their baseline vitamin supplements usage: non-vitamin supplement group ( n=978), vitamin D supplement group ( n=65), and other vitamin supplements group ( n=454). The occurrence of CMP was obtained by baseline pain survey and follow-up data from 2019—2020 and 2022—2023. A generalized linear mixed model (GLMM) was used to analyze the association between vitamin D supplement and CMP occurrence, with odds ratio ( OR) and its 95% confidence intervals ( CI) calculated. To verify robustness of the study findings, propensity score matching was employed to match participants in the vitamin D supplementation group with those in the non-vitamin supplement group and the other vitamin supplements group for sensitivity analysis. Results:After adjusting for confounding factors such as demographic characteristics, lifestyle, and co-morbidities, GLMM analysis did not find significant association between vitamin D supplement and the risk of CMP occurrence in AS patients [ OR(95% CI)=0.85(0.48, 1.48), P=0.555]. However, GLMM analysis indicated that male AS patients had a lower likelihood of developing CMP compared to female patients [ OR(95% CI)=0.69(0.56, 0.86), P<0.001]. Additionally, current smoking [ OR(95% CI)=1.46(1.06, 2.03), P=0.022] and poorer overall health status-categorized as general [ OR(95% CI)=2.32(1.85, 2.90)] or poor [ OR(95% CI)=2.31(1.68, 3.18), P<0.001] were associated with an increased risk of CMP occurrence. In the sensitivity analysis, no significant association was observed between vitamin D supplement and CMP. Conclusion:Vitamin D supplement does not reduce the risk of CMP occurrence in middle-aged and old AS patients. However, female, smoking, and poor overall health status are identified as risk factors for CMP in AS patients. Future research should focus on large-scale real-world studies, particularly in younger AS populations, to further investigate the relationship between vitamin D supplement and CMP, thereby providing more targeted intervention strategies.

Objective To construct a hierarchical dynamic management intelligent system for nurses and to validate its application effectiveness,providing a reference for the development of intelligent nursing human resource management.Methods The nurse hierarchical classification and dynamic promotion management mechanism were clarified,and a hierarchical dynamic management system for nurses was established,comprising 2 modules:personal growth,and tier management and review.The system was officially implemented in a tertiary A hospital in Henan Province in March 2024.A comparison was conducted between pre-implementation(2023)and post-implementation(2024),including nurse tier applications and promotions,efficiency in tier promotion evaluations,Psychological Capital Questionnaire scores of nurses,and user satisfaction with the system.Results Following the implementation of the hierarchical dynamic management intelligent system for nurses,the application rate for tier promotion increased by 11.33％.After system implementation,the promotion pass rate and Psychological Capital Questionnaire scores of nurses were significantly higher than those before implementation,while the time required for tier review was significantly shorter.These differences were statistically significant(P＜0.05).The satisfaction survey scores for nurses applying for tier promotion and for reviewers using the system were(62.28±4.56)and(64.09±3.17)scores,respectively.Conclusion The application of the hierarchical dynamic management intelligent system for nurses helps enhance nurses'promotion pass rates and psychological capital,streamlines the nurse tier review process,and demonstrates high user satisfaction with the system.

Objective:To explore the status quo of fertility information need of breast cancer patients at childbearing age, and analyze its influencing factors.Methods:From April to October 2023, 400 cases of breast cancer patients of childbearing age in two Class Ⅲ Grade A hospitals in Zhengzhou City were selected by convenience sampling. Patents were investigated with the General Information Questionnaire and the Fertility Information Needs Assessment Questionnaire for Breast Cancer Patients of Childbearing Age. Multiple linear regression was used to analyze the influencing factors of fertility information need of breast cancer patients of childbearing age. A total of 400 questionnaires were distributed, and 385 valid questionnaires were collected, with an effective response rate of 96.25% (385/400) .Results:The 385 breast cancer patients of childbearing age had a high level of need for fertility information with an average score of items (3.17±0.73). The scores for each dimension in descending order of the mean score of items were disease impact information, treatment impact information, psychosocial information, fertility management information, sexual health information, and fertility protection information. Age, marital status, education level, per capita monthly family income and duration of illness were the factors influencing the fertility information need ( P<0.05) . Conclusions:Breast cancer patients of childbearing age have a high level of need for fertility information, and their need is influenced by a number of factors. Medical and nursing staff should improve the fertility information support program based on the real needs of breast cancer patients, and provide personalized fertility information support for breast cancer patients of childbearing age with different characteristics.

Objective:To analyze the efficacy of phantom-less quantitative computer tomography (PL-QCT) for the diagnosis of osteoporosis in patients with lumbar degenerative diseases.Methods:From October 2021 to October 2023, a total of 1 248 patients with lumbar degenerative disease who did not receive anti-osteoporosis treatment in the Department of Spine Surgery, Tianjin Hospital were retrospectively analyzed. There were 520 males and 728 females, aged 62.31±9.37 years (range, 40-87 years), height 1.66±0.08 m (range, 1.43-1.89 m), weight 69.04±8.27 kg (range, 49-93 kg). The mean body mass index was 26.11±3.67 kg/m 2 (range, 14.40-37.11 kg/m 2). Dual-energy X-ray absorptiometry (DXA) and PL-QCT were used to diagnose osteoporosis, and the detection rates of the two diagnostic methods were compared. The receiver operating characteristic (ROC) curve of PL-QCT for the diagnosis of osteoporosis was drawn, the area under the curve (AUC) and 95% confidence interval (CI), sensitivity and specificity were calculated. Results:Among 1 248 patients with lumbar degenerative diseases, 626 (50.2%) were diagnosed as osteoporosis by PL-QCT, 423(33.9%) were diagnosed by spine DXA, 488(39.1%) were diagnosed by hip DXA and 539 patients(43.2%) were diagnosed by dual-site DXA. The detection rate of osteoporosis of PL-QCT was higher than that of spine DXA (χ 2=193.557, P<0.001), hip DXA (χ 2=322.201, P<0.001) and dual-site DXA (χ 2=94.683, P<0.001), and the difference was statistically significant. Taking the diagnostic results of spinal DXA for osteoporosis as a reference, the ROC curve of PL-QCT for the diagnosis of osteoporosis showed a sensitivity of 79%, a specificity of 81%, and an AUC and 95% CI of 0.82(0.79, 0.85). Taking the diagnostic results of hip DXA for osteoporosis as a reference, the ROC curve of PL-QCT for the diagnosis of osteoporosis showed a sensitivity of 85%, a specificity of 55%, and an AUC and 95% CI of 0.75(0.71, 0.78). Taking the diagnostic results of two-site DXA for osteoporosis as a reference, the ROC curve of PL-QCT for the diagnosis of osteoporosis showed a sensitivity of 72%, a specificity of 75%, and an AUC and 95% CI of 0.81(0.78, 0.83). Conclusion:Compared with DXA, PL-QCT has a higher detection rate of osteoporosis in patients with degenerative lumbar spine disease and good diagnostic efficacy.

Objective To construct the training program for the digital and intelligent capabilities of specialized nurses in the Central Sterile Supply Department(CSSD),and conduct preliminary practice to provide talent support for the intelligent development of CSSD.Methods From February to April 2024,based on the core technologies of digital intelligence and related core capabilities,a training program for digital intelligence-related competencies of CSSD specialized nurses was constructed using literature review and the Delphi expert consultation method.From July to August 2024,the program was initially implemented in the training of CSSD specialized nurses.The nurses'information competency before and after the training was compared,and the nurses' satisfaction with the digital intelligence-related training program was assessed.Results This study conducted 2 rounds of expert consultation via questionnaire.The effective recovery rate of the questionnaires in both rounds was 100％.The expert authority coefficients were 0.790 and 0.800,respectively,and the variation coefficients ranged from 0 to 0.229 and 0 to 0.105.Ultimately,a training program for the digital-related competencies of CSSD specialty nurses was established,which includes 4 components:training objectives,training content,training methods,and assessment methods.Specifically,there were 3 indicators at the first level and 14 at the second level for training objectives,6 indicators at the first level and 32 at the second level for training content,and 6 indicators at the first level for training methods and assessment methods.After the implementation of the training program,the information competency of the nurses in all dimensions and the total score were significantly higher than those before training(P＜0.05).Moreover,the average scores for the training content,training methods,and assessment methods were all above 3 points,indicating a high overall satisfaction among the nurses.Conclusion The construction process of the training program for the digital and intelligent capabilities of CSSD specialty nurses is scientific and reliable.The content is highly practical and distinctive in its specialty.The training methods and assessment approaches are diverse.This program can enhance nurses' information competency and provide a reference for the implementation of digital and intelligent training for CSSD specialty nurses.

Objective:To explore the status quo of fertility information need of breast cancer patients at childbearing age, and analyze its influencing factors.Methods:From April to October 2023, 400 cases of breast cancer patients of childbearing age in two Class Ⅲ Grade A hospitals in Zhengzhou City were selected by convenience sampling. Patents were investigated with the General Information Questionnaire and the Fertility Information Needs Assessment Questionnaire for Breast Cancer Patients of Childbearing Age. Multiple linear regression was used to analyze the influencing factors of fertility information need of breast cancer patients of childbearing age. A total of 400 questionnaires were distributed, and 385 valid questionnaires were collected, with an effective response rate of 96.25% (385/400) .Results:The 385 breast cancer patients of childbearing age had a high level of need for fertility information with an average score of items (3.17±0.73). The scores for each dimension in descending order of the mean score of items were disease impact information, treatment impact information, psychosocial information, fertility management information, sexual health information, and fertility protection information. Age, marital status, education level, per capita monthly family income and duration of illness were the factors influencing the fertility information need ( P<0.05) . Conclusions:Breast cancer patients of childbearing age have a high level of need for fertility information, and their need is influenced by a number of factors. Medical and nursing staff should improve the fertility information support program based on the real needs of breast cancer patients, and provide personalized fertility information support for breast cancer patients of childbearing age with different characteristics.

Objective:To explore the effect of vitamin D supplement on chronic musculoskeletal pain (CMP) in patients with ankylosing spondylitis (AS) through a cohort study and provide evidence for optimizing vitamin D supplement strategies in AS management.Methods:Based on the large-scale prospective cohort of the UK Biobank, a total of 1 497 middle-aged and older patients diagnosed with AS were included. Patients were categorized into three groups according to their baseline vitamin supplements usage: non-vitamin supplement group ( n=978), vitamin D supplement group ( n=65), and other vitamin supplements group ( n=454). The occurrence of CMP was obtained by baseline pain survey and follow-up data from 2019—2020 and 2022—2023. A generalized linear mixed model (GLMM) was used to analyze the association between vitamin D supplement and CMP occurrence, with odds ratio ( OR) and its 95% confidence intervals ( CI) calculated. To verify robustness of the study findings, propensity score matching was employed to match participants in the vitamin D supplementation group with those in the non-vitamin supplement group and the other vitamin supplements group for sensitivity analysis. Results:After adjusting for confounding factors such as demographic characteristics, lifestyle, and co-morbidities, GLMM analysis did not find significant association between vitamin D supplement and the risk of CMP occurrence in AS patients [ OR(95% CI)=0.85(0.48, 1.48), P=0.555]. However, GLMM analysis indicated that male AS patients had a lower likelihood of developing CMP compared to female patients [ OR(95% CI)=0.69(0.56, 0.86), P<0.001]. Additionally, current smoking [ OR(95% CI)=1.46(1.06, 2.03), P=0.022] and poorer overall health status-categorized as general [ OR(95% CI)=2.32(1.85, 2.90)] or poor [ OR(95% CI)=2.31(1.68, 3.18), P<0.001] were associated with an increased risk of CMP occurrence. In the sensitivity analysis, no significant association was observed between vitamin D supplement and CMP. Conclusion:Vitamin D supplement does not reduce the risk of CMP occurrence in middle-aged and old AS patients. However, female, smoking, and poor overall health status are identified as risk factors for CMP in AS patients. Future research should focus on large-scale real-world studies, particularly in younger AS populations, to further investigate the relationship between vitamin D supplement and CMP, thereby providing more targeted intervention strategies.

Objective To construct a hierarchical dynamic management intelligent system for nurses and to validate its application effectiveness,providing a reference for the development of intelligent nursing human resource management.Methods The nurse hierarchical classification and dynamic promotion management mechanism were clarified,and a hierarchical dynamic management system for nurses was established,comprising 2 modules:personal growth,and tier management and review.The system was officially implemented in a tertiary A hospital in Henan Province in March 2024.A comparison was conducted between pre-implementation(2023)and post-implementation(2024),including nurse tier applications and promotions,efficiency in tier promotion evaluations,Psychological Capital Questionnaire scores of nurses,and user satisfaction with the system.Results Following the implementation of the hierarchical dynamic management intelligent system for nurses,the application rate for tier promotion increased by 11.33％.After system implementation,the promotion pass rate and Psychological Capital Questionnaire scores of nurses were significantly higher than those before implementation,while the time required for tier review was significantly shorter.These differences were statistically significant(P＜0.05).The satisfaction survey scores for nurses applying for tier promotion and for reviewers using the system were(62.28±4.56)and(64.09±3.17)scores,respectively.Conclusion The application of the hierarchical dynamic management intelligent system for nurses helps enhance nurses'promotion pass rates and psychological capital,streamlines the nurse tier review process,and demonstrates high user satisfaction with the system.