Evidence-based public health, as the forefront of modern public health practice, has increasingly important in public health field. However, a significant gap remains between the available evidence and its practical application. Effectively disseminating and implementing evidence-based public health practice in real-world settings has become a key challenge in contemporary public health research. In this context, Implementation Science has emerged as a vital discipline. This paper explores the critical role of Implementation Science in public health, reviews the origins and core components of the Consolidated Framework for Implementation Research (CFIR), and analyzes the current application of CFIR in public health through bibliometric methods. Additionally, it discusses specific examples to further elucidate the steps involved in using the CFIR and its application contexts. The findings indicate that since 2015, research on CFIR in public health has progressively increased, showing a continuous upward trend. CFIR applications mainly address context-specific facilitators, health decision-making, barrier and facilitator identification, and community-based participatory evaluation, predominantly employing qualitative and mixed-methods research. This paper not only reviews and analyzes the current use of CFIR in public health but also provides a detailed discussion on its application. The goal is to offer valuable insights for the development of Implementation Science research within China's public health sector.

Objective:To explore the impact of female body mass index (BMI) on pregnancy outcomes in artificial insemination with donor sperm (AID).Methods:A retrospective cohort study was conducted on 4 484 couples with 9 852 AID treatment cycles treated at Reproductive Center of Guangdong Institute of Reproductive Science from January 2011 to September 2024. Participants were divided into four groups based on BMI: low BMI group (BMI<18.5 kg/m 2), normal BMI group (18.5 kg/m 2≤BMI<24.0 kg/m 2), overweight group (24.0 kg/m 2≤BMI<28.0 kg/m 2), and obese group (BMI≥28.0 kg/m 2). General characteristics and pregnancy outcomes were compared across groups. Kaplan-Meier survival analysis was used to calculate cumulative pregnancy rates from one to six cycles. Generalized estimating equations (GEE), univariate and multivariate logistic and Cox regression analysis were performed, adjusting for age, basal follicle-stimulating hormone, basal luteinizing hormone, endometrial thickness, clinical diagnosis, and treatment protocol, to explore correlations between female BMI and clinical pregnancy rate, spontaneous abortion rate, and cumulative pregnancy rate. Results:1) There were no statistically significant differences in clinical pregnancy rate and spontaneous abortion rate among the low BMI group, the normal BMI group, the overweight group, and the obesity group (all P>0.05). 2) Cumulative pregnancy rates for AID cycles 1-6 were 17.60%, 31.60%, 43.08%, 54.37%, 61.83% and 73.68%, respectively. 3) Multivariate GEE analysis revealed that female age ( OR=0.962, 95% CI: 0.950-0.974, P<0.001), endometrial thickness ( OR=1.040, 95% CI:1.011-1.069, P=0.006), and natural cycles ( OR=1.171, 95% CI: 1.060-1.294, P=0.002) influenced clinical pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in clinical pregnancy rates of low BMI group, overweight group, and obese group (all P>0.05). Multivariate logistic analysis showed that female age ( OR=1.051, 95% CI: 1.012-1.091, P=0.010), endometrial thickness ( OR=0.920 , 95% CI: 0.847-1.000, P=0.049) and polycystic ovary syndrome ( OR=1.927, 95% CI: 1.044-3.556, P=0.036) influenced spontaneous abortion rates. Compared with the normal BMI group, there were no statistically significant differences in spontaneous abortion rates of low BMI group, overweight group and obese group (all P>0.05). 4) Cox regression analysis indicated that female age ( HR=0.939, 95% CI: 0.928-0.950, P<0.001), endometrial thickness ( HR=1.039, 95% CI: 1.013-1.066, P=0.003) and natural cycles ( HR=1.957, 95% CI: 1.785-2.146, P<0.001) influenced cumulative pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in cumulative pregnancy rates of low BMI group, overweight group and obese group (all P>0.05). Conclusion:Female BMI does not significantly affect clinical pregnancy rates, spontaneous abortion rates and cumulative pregnancy rates in AID.

Objective To conduct bibliometrics and visual analysis of local benign paroxysmal positional verti-go(BPPV)research in the past 20 years for further basic and clinical research in the future.Methods We collected the journal articles on BPPV published between January 1,2004 and December 31,2023 from the databases of CNKI,Wanfang,VIP and Web of Science Core Collection.Multidimensional measurement and visual analysis were carried out using bibliometrics software to identify the research hotspots and new trends in this field,and to deter-mine the cooperation and influence among authors,institutions and journals.Results A total of 717 Chinese papers and 212 SCI papers were utilized for the analysis.The literature in this field gradually increased at an average annual growth rate of 12.8％,among which the Journal of Clinical Otolaryngology Head and Neck Surgery published the most articles(n=167),followed by the Chinese Journal of Otology(n=94)and the Journal of Audiology and Speech Pathology(n=76).The journal with the largest number of SCI publications is Frontiers in Neurology(n=44).In terms of authors and institutions,Zhuang Jianhua published the most Chinese papers,Yang Xu published the most SCI papers,and Shanghai Jiaotong University published the earliest and most SCI papers in this field(n=21).The main research keywords in this realm in recent years involve video head pulse test,vestibular migraine,re-sidual symptoms,residual dizziness and anxiety.The keywords retaining burst intensity to 2023 include video head pulse test,residual dizziness,children,anxiety,and residual symptoms.Conclusion Video head impulse test,re-sidual dizziness,children,anxiety and other aspects are critical areas of ongoing research in BPPV.

Objective:To explore the impact of female body mass index (BMI) on pregnancy outcomes in artificial insemination with donor sperm (AID).Methods:A retrospective cohort study was conducted on 4 484 couples with 9 852 AID treatment cycles treated at Reproductive Center of Guangdong Institute of Reproductive Science from January 2011 to September 2024. Participants were divided into four groups based on BMI: low BMI group (BMI<18.5 kg/m 2), normal BMI group (18.5 kg/m 2≤BMI<24.0 kg/m 2), overweight group (24.0 kg/m 2≤BMI<28.0 kg/m 2), and obese group (BMI≥28.0 kg/m 2). General characteristics and pregnancy outcomes were compared across groups. Kaplan-Meier survival analysis was used to calculate cumulative pregnancy rates from one to six cycles. Generalized estimating equations (GEE), univariate and multivariate logistic and Cox regression analysis were performed, adjusting for age, basal follicle-stimulating hormone, basal luteinizing hormone, endometrial thickness, clinical diagnosis, and treatment protocol, to explore correlations between female BMI and clinical pregnancy rate, spontaneous abortion rate, and cumulative pregnancy rate. Results:1) There were no statistically significant differences in clinical pregnancy rate and spontaneous abortion rate among the low BMI group, the normal BMI group, the overweight group, and the obesity group (all P>0.05). 2) Cumulative pregnancy rates for AID cycles 1-6 were 17.60%, 31.60%, 43.08%, 54.37%, 61.83% and 73.68%, respectively. 3) Multivariate GEE analysis revealed that female age ( OR=0.962, 95% CI: 0.950-0.974, P<0.001), endometrial thickness ( OR=1.040, 95% CI:1.011-1.069, P=0.006), and natural cycles ( OR=1.171, 95% CI: 1.060-1.294, P=0.002) influenced clinical pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in clinical pregnancy rates of low BMI group, overweight group, and obese group (all P>0.05). Multivariate logistic analysis showed that female age ( OR=1.051, 95% CI: 1.012-1.091, P=0.010), endometrial thickness ( OR=0.920 , 95% CI: 0.847-1.000, P=0.049) and polycystic ovary syndrome ( OR=1.927, 95% CI: 1.044-3.556, P=0.036) influenced spontaneous abortion rates. Compared with the normal BMI group, there were no statistically significant differences in spontaneous abortion rates of low BMI group, overweight group and obese group (all P>0.05). 4) Cox regression analysis indicated that female age ( HR=0.939, 95% CI: 0.928-0.950, P<0.001), endometrial thickness ( HR=1.039, 95% CI: 1.013-1.066, P=0.003) and natural cycles ( HR=1.957, 95% CI: 1.785-2.146, P<0.001) influenced cumulative pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in cumulative pregnancy rates of low BMI group, overweight group and obese group (all P>0.05). Conclusion:Female BMI does not significantly affect clinical pregnancy rates, spontaneous abortion rates and cumulative pregnancy rates in AID.

Evidence-based public health, as the forefront of modern public health practice, has increasingly important in public health field. However, a significant gap remains between the available evidence and its practical application. Effectively disseminating and implementing evidence-based public health practice in real-world settings has become a key challenge in contemporary public health research. In this context, Implementation Science has emerged as a vital discipline. This paper explores the critical role of Implementation Science in public health, reviews the origins and core components of the Consolidated Framework for Implementation Research (CFIR), and analyzes the current application of CFIR in public health through bibliometric methods. Additionally, it discusses specific examples to further elucidate the steps involved in using the CFIR and its application contexts. The findings indicate that since 2015, research on CFIR in public health has progressively increased, showing a continuous upward trend. CFIR applications mainly address context-specific facilitators, health decision-making, barrier and facilitator identification, and community-based participatory evaluation, predominantly employing qualitative and mixed-methods research. This paper not only reviews and analyzes the current use of CFIR in public health but also provides a detailed discussion on its application. The goal is to offer valuable insights for the development of Implementation Science research within China's public health sector.

Objective To conduct bibliometrics and visual analysis of local benign paroxysmal positional verti-go(BPPV)research in the past 20 years for further basic and clinical research in the future.Methods We collected the journal articles on BPPV published between January 1,2004 and December 31,2023 from the databases of CNKI,Wanfang,VIP and Web of Science Core Collection.Multidimensional measurement and visual analysis were carried out using bibliometrics software to identify the research hotspots and new trends in this field,and to deter-mine the cooperation and influence among authors,institutions and journals.Results A total of 717 Chinese papers and 212 SCI papers were utilized for the analysis.The literature in this field gradually increased at an average annual growth rate of 12.8％,among which the Journal of Clinical Otolaryngology Head and Neck Surgery published the most articles(n=167),followed by the Chinese Journal of Otology(n=94)and the Journal of Audiology and Speech Pathology(n=76).The journal with the largest number of SCI publications is Frontiers in Neurology(n=44).In terms of authors and institutions,Zhuang Jianhua published the most Chinese papers,Yang Xu published the most SCI papers,and Shanghai Jiaotong University published the earliest and most SCI papers in this field(n=21).The main research keywords in this realm in recent years involve video head pulse test,vestibular migraine,re-sidual symptoms,residual dizziness and anxiety.The keywords retaining burst intensity to 2023 include video head pulse test,residual dizziness,children,anxiety,and residual symptoms.Conclusion Video head impulse test,re-sidual dizziness,children,anxiety and other aspects are critical areas of ongoing research in BPPV.

Objectives:To develop a novel prediction model for mitral valve repair failure based on machine learning algorithms.Methods:Clinical and echocardiographic data were analyzed on patients,who underwent mitral valve repair in Fuwai Hospital from 2009 January 1st to 2022 December 31st.End points included immediate mitral valve repair failure (mitral replacement secondary to mitral repair failure) and recurrence regurgitation (moderate or severe mitral regurgitation before discharge).Risk factors of mitral valve repair failure were analyzed by XGBoost and shapley additive explanation (SHAP),and a machine learning model was established based on mixture of experts (MoE) as a risk prediction model and compared with conventional mitral valve repair complexity scores.Results:A total of 2314 patients were included in this study.Mitral repair was unsuccessful in 4.2％ (98 of 2314) of patients.Patient factors such as tricuspid regurgitation pressure gradient,A3 and A3P3 lesions,left ventricular end-systolic volume,and left atrium anterior and posterior diameter are associated with mitral valve repair failure;in addition,surgeon factors,such as cumulative repair failure rate,cumulative repair volume,and surgeon seniority,are also risk factors for mitral valve repair failure.The MoE model has an AUC value of 0.79,and the prediction performance is significantly better than traditional complexity scores.Conclusions:The MoE based machine learning model can predict the risk of mitral valve repair failure well.This evaluation system can effectively assist surgeons in assessing the risk of mitral valve repair failure and in selecting suitable treatment options for patients.

Objectives:To develop a novel prediction model for mitral valve repair failure based on machine learning algorithms.Methods:Clinical and echocardiographic data were analyzed on patients,who underwent mitral valve repair in Fuwai Hospital from 2009 January 1st to 2022 December 31st.End points included immediate mitral valve repair failure (mitral replacement secondary to mitral repair failure) and recurrence regurgitation (moderate or severe mitral regurgitation before discharge).Risk factors of mitral valve repair failure were analyzed by XGBoost and shapley additive explanation (SHAP),and a machine learning model was established based on mixture of experts (MoE) as a risk prediction model and compared with conventional mitral valve repair complexity scores.Results:A total of 2314 patients were included in this study.Mitral repair was unsuccessful in 4.2％ (98 of 2314) of patients.Patient factors such as tricuspid regurgitation pressure gradient,A3 and A3P3 lesions,left ventricular end-systolic volume,and left atrium anterior and posterior diameter are associated with mitral valve repair failure;in addition,surgeon factors,such as cumulative repair failure rate,cumulative repair volume,and surgeon seniority,are also risk factors for mitral valve repair failure.The MoE model has an AUC value of 0.79,and the prediction performance is significantly better than traditional complexity scores.Conclusions:The MoE based machine learning model can predict the risk of mitral valve repair failure well.This evaluation system can effectively assist surgeons in assessing the risk of mitral valve repair failure and in selecting suitable treatment options for patients.

Objective:To conduct a survey on the current situation of family nursing assistants for elderly people with chronic diseases and disability in the community from multiple dimensions such as personal information, work status, professional quality, difficult problems encountered in the nursing process, and solutions.Methods:From April to August 2022, a questionnaire survey was conducted among family nursing assistants of elderly people with chronic diseases and disability in six communities in Beijing using cluster sampling. We conducted a survey and analysis on the current situation of family nursing assistants for elderly people with chronic diseases and disability in the community from multiple dimensions, based on the presence or absence of professional qualification certificates for nursing assistants.Results:The study included 611 nursing assistants, aged (49.99±6.82) years, mainly composed of rural registered residence and education level below junior high school. Only 43.04% (263/611) of nursing assistants had professional qualification certificates for nursing assistants. Compared with those without professional qualification certificate for nursing assistants, those with professional qualification certificate for nursing assistants had statistical differences in gender, registered residence, education level, daily working hours, specific work content of care, monthly income, solutions to reduce the mobility of elderly nursing assistants, working years, feelings of caring for the daily health of elderly people with chronic diseases, psychological status, self-awareness about job, training to improve work skills, basic medical knowledge training, and reasons for not participating in training ( P<0.05). Nursing assistants reported a lack of medical and nursing knowledge and an urgent need for professional training and guidance from medical and nursing staff during the investigation of difficult issues encountered in their work. Conclusions:It is necessary to strengthen and improve the training of nursing professionals and basic medical knowledge of family nursing assistants for elderly people with chronic diseases and disability before and during work, which can help improve the level and quality of care provided by family nursing assistants.

Objective:To analyze the effects of various factors on the clinical outcome of artificial insemination with donor sperm (AID) under natural cycles.Methods:A total of 16 458 natural cycles with donor sperm were analyzed from January 2011 to December 2018 in Reproductive Center of Guangdong Province Family Planning Science and Technology Research Institute. The relationship between the clinical outcome and the factors such as the women's character, donor sperm quality and cycle related factors with χ 2 and multiple factor generalized estimating equation. Results:Many factors such as women's age ≤ 30 years ( OR=1.865, P<0.001), the woman's age from 31 to 35 years ( OR=1.215, P<0.001), duration of infertility≤5 ( OR=1.139, P=0.007), day 3 luteining hormone (LH) level>8.10 IU/L ( OR=1.309, P=0.022), day 3 estrogen level≤77.10 pmol/L ( OR=1.301, P=0.012), day 3 estrogen level from 77.11 pmol/L to 293.60 pmol/L ( OR=1.099, P=0.044), one dominant follicle per cycle ( OR=1.473, P=0.038), cervical mucus score ≥10 ( OR=1.256, P=0.026), A type endometrium ( OR=1.114, P=0.005), urinary LH strong positive ( OR=1.171, P=0.002), sperm activity ratio more than 54% after thawing ( OR=1.142, P=0.002), progressively motile sperm number ≥ 35×10 6 after thawing ( OR=1.217, P=0.001) and double inseminations per cycle ( OR=1.376, P=0.001) significantly affected the pregnancy rates of AID women under natural cycles. Conclusion:Many factors such as the woman's age, duration of infertility, day 3 LH level, day 3 estrogen level, dominant follicle number per cycle, cervical mucus score, endometrial type, sperm activity ratio after thawing, progressively motile sperm number and insemination times per cycle can affect the women’s pregnancy rate under AID natural cycles.