1.Characteristics of retinal peripheral defocus in patients with unilateral myopia
Lu GAN ; Wentao DENG ; Shuping YANG ; Wuxiao ZHAO
International Eye Science 2026;26(4):573-578
AIM: To investigate the features of retinal peripheral defocus and its associated variables in unilateral myopia. METHODS: This cross-sectional study included consecutive anisometropic myopic patients who visited Center for Optometry and Visual Science from August 2023 to March 2025 in Guangxi Zhuang Autonomous Region. Eyes were classified based on spherical equivalent(SE)and uncorrected visual acuity(UCVA): myopic eyes(SE ≤-0.50 D, UCVA <0.2 LogMAR)and contralateral normal eyes(SE ≥-0.25, UCVA ≥0 LogMAR). Total relative defocus value(TRDV)across the visual field, RDV at 15°, 30°, and 45°(RDV-15, RDV-30, RDV-45), and quadrant-specific RDV(superior/RDV-S, inferior/RDV-I, temporal/RDV-T, nasal/RDV-N)were compared between groups.RESULTS: This study enrolled 81 anisometropic patients(81 myopic eyes, 81 contralateral normal eyes). The cohort comprised 42 males and 39 females, 47 patients aged 8-12 y and 34 patients aged 13-17 y(mean age: 11.8±2.4 y). Myopic eyes demonstrated significantly higher values in TRDV, RDV-30, RDV-45, RDV-I, RDV-S, RDV-N, and RDV-T versus contralateral normal eyes(all P<0.001). RDV-15 showed no significant difference between groups in either 8-12-year-olds or 13-17-year-olds(both P>0.05). Among 13-17-year-olds, RDV-S also exhibited no intergroup difference(P>0.05). All other parameters differed significantly across both age strata(all P<0.05). In myopic eyes, age positively correlated with TRDV(r=0.31, P=0.005), RDV-30(r=0.33, P=0.002), RDV-45(r=0.32, P=0.004), and RDV-N(r=0.37, P<0.001). In contralateral eyes, scotopic pupil diameter negatively correlated with TRDV(r=-0.25, P=0.03), RDV-45(r=-0.25, P=0.02), RDV-S(r=-0.29, P=0.008), and RDV-N(r=-0.27, P=0.014). And age positively correlated with RDV-N(r=0.30, P= 0.006), axial length positively correlated with RDV-T(r=0.30, P=0.006). CONCLUSION: The peripheral defocus of unilateral myopic eyes varies from that of their contralateral normal counterparts. The former presents hyperopic defocus, which augments with age, while the latter displays myopic defocus, which accentuates with the increase of the scotopic pupil size.
2.Analysis on the Current Situation of Obstetrics Resources and the Centralized Development Path of Obstetric System in Chinese Public General Hospitals under the Background of Low Fertility Rate
Di WU ; Daling JIANG ; Yang SHEN ; Mulan REN ; Hong YU ; Yunlang CAI ; Shuping WANG
Chinese Hospital Management 2025;45(4):93-96
Objective To parse the current situation of obstetrics resources in Chinese Public General Hospitals,and explore a new path for the development of obstetric medical service system in public hospitals.Methods Literature search and qualitative interview methods were used to sort out the obstetric resources and services of public general hospitals.Results The obstetrics departments in public general hospitals play an important role in the obstetrics service system,which face more operation pressures and transformation difficulties in the background of low fertility.Public general hospitals can strengthen the inner horizontal integration by multidisciplinary collaboration,and external vertical with medical alliances and obstetric alliances,so as to provide high-quality and continuous obstetric services for regional pregnant women and enhance system resilience.Conclusion Centralized multidisciplinary integration inside the hospitals and alliance with other obstetrics departments outside the hospitals,namely Two"Centralized Development"may be a new path for the high-quality development of obstetrics department in public general hospitals under the background of low fertility rate.
3.Application of triple pre-rehabilitation strategy in breast cancer patients undergoing neoadjuvant chemotherapy
Qizhou YANG ; Nandi WANG ; Liyuan MA ; Shuping LI ; Jing CHEN ; Jianghong ZHOU
Chinese Journal of Practical Nursing 2025;41(29):2257-2264
Objective:To explore the effect of triple pre-rehabilitation strategy on improving nutritional status, negative emotions and quality of life in breast cancer patients undergoing neoadjuvant chemotherapy, so as to provide reference for clinical practice.Methods:A quasi experimental research was adopted. A total of 133 patients who underwent neoadjuvant chemotherapy for breast cancer at Gansu Provincial Cancer Hospital between December 2023 and December 2024 were recruited as research participants. Patients were stratified into the experimental group ( n = 66) and control group ( n = 67) according to their admission sequence. The control group received routine health guidance, while the experimental group was provided with a triple pre-rehabilitation strategy based on the control group. The serum albumin, body mass index, anxiety, depression scores and quality of life scores were compared between the two groups before intervention, 3 weeks after intervention and 2 weeks post-surgery. Results:Totally 64 patients in each group completed the study. The age of the experimental group was (49.50 ± 10.46) years, and that of the control group was (50.42 ± 12.50) years. All of them were females. After a 3-week intervention, the serum albumin levels in the experimental group were (42.62 ± 1.56) g/L, compared to (40.50 ± 1.31) g/L 2 weeks post-surgery. In the control group, these values were (40.98 ± 1.35) g/L and (40.00 ± 1.67) g/L, respectively. The differences between groups were statistically significant ( t = -6.38, -1.89, both P<0.05). Additionally, body mass index of the experimental group was (24.02 ± 1.35) kg/m 2 after the 3-week intervention and (23.48 ± 1.72) kg/m 2 2 weeks post-surgery, which were significantly higher than those of the control group (22.98 ± 1.72) kg/m 2 and (22.50 ± 1.31) kg/m 2, respectively ( t = - 3.81, - 3.61, both P<0.05). The anxiety scores in the experimental group were (6.00 ± 2.09) of 3 weeks after intervention and (7.00 ± 2.62) 2 weeks post-surgery, both of which were significantly lower than those in the control group (7.00 ± 2.26) and (8.00 ± 2.76), with statistically significant differences ( t = 2.60, 2.10, both P<0.05). Additionally, the depression scores in the experimental group were (5.00 ± 2.20) of 3 weeks after intervention and (6.00 ± 2.40) 2 weeks post-surgery, which were also significantly lower than those in the control group (6.00 ± 2.02) and (7.00 ± 2.09), with statistically significant differences ( t = 2.68, 2.52, both P<0.05). Furthermore, the quality of life scores in the experimental group were (94.84 ± 18.00) of 3 weeks after intervention and (84.02 ± 17.13) 2 weeks post-surgery, which were significantly higher than those in the control group (82.00 ± 18.75) and (72.03 ± 17.10), with statistically significant differences ( t = - 3.95, - 3.96, both P<0.05). Conclusions:The triple pre-rehabilitation strategy plays a crucial role in mitigating the nutritional risk for breast cancer patients undergoing neoadjuvant chemotherapy, alleviating their negative emotions, and enhancing their quality of life. This approach is anticipated to serve as a valuable reference for preoperative health guidance tailored to breast cancer patients undergoing neoadjuvant chemotherapy.
4.Changing antimicrobial resistance profiles of Burkholderia cepacia in hospitals across China:results from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Chunyue GE ; Yunjian HU ; Xiaoman AI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(5):557-562
Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1%(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5%,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3%(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1%)were isolated from sputum and respiratory secretions,followed by urine(10.7%)and blood samples(8.1%).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1%.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4%in the patients<18 years old to 20.6%in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.
5.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
6.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.
7.Transcutaneous bilirubin curves in healthy neonates based on multicenter remote monitoring data
Bi ZE ; Xiaoyue DONG ; Jin WANG ; Chuan NIE ; Jiajun ZHU ; Fang GUO ; Falin XU ; Chunhui YANG ; Bizhen SHI ; Zhankui LI ; Xinhua ZHANG ; Jing LI ; Bin YI ; Xiuying TIAN ; Lejia ZHANG ; Jun TANG ; Xinlin HOU ; Jiahua XU ; Guoying HUANG ; Shuping HAN ; Wenhao ZHOU
Chinese Journal of Pediatrics 2025;63(12):1318-1324
Objective:To establish 30-day of age transcutaneous bilirubin (TcB) reference curves for healthy neonates, and to investigate regional variations in bilirubin dynamics.Methods:A multicenter retrospective cohort study was conducted. A total of 220 950 healthy neonates born at a gestational age of 35-<42 weeks, with a birth weight ≥2 000 g, who did not receive phototherapy within 60 h after birth were recruited. All of them underwent remote TcB monitoring using the Bilibaby remote jaundice monitoring system between August 1 st, 2020 and December 31 st, 2024 in 426 hospitals. TcB data were collected within the period from birth to 30-day of age. The P40, P75, and P95 of TcB values were calculated, and dynamic TcB curves for 30-day of age were constructed. Patterns of bilirubin change, rates of change, and transition outcomes were described. Regional comparisons between South and North were conducted using linear mixed-effects models for TcB trajectories and Pearson′s chi-square test for outcome differences. Results:A total of 220 950 neonates were included, of whom 101 711 (46.03%) were female. Gestational age at birth was (38.75±1.12) weeks, and birth weight was (3 272±417) g. TcB levels increased rapidly within 3-day of age, peaked at 4-6-day of age, with peak values at P40, P75, and P95 of 200.6, 239.7 and 275.4 μmol/L (11.8, 14.1 and 16.2 mg/dl), respectively. TcB levels gradually declined thereafter and stabilized after 13-day of age, with values at P40, P75, and P95 fluctuating between 147.9-159.8, 190.4-200.6, and 231.2-239.7 μmol/L (8.7-9.4, 11.2-11.8, 13.6-14.1 mg/dl), respectively. Notably, among neonates categorized as low-or low-intermediate-risk within 3-day of age, 6 700 (12.76%) progressed to intermediate-high or high risk between 4 and 30 days of age. Before 13-day of age, TcB levels in the southern regions were consistently higher than those in the northern regions ( P=0.039); from 14 to 30 days of age, the overall TcB levels had no statistically difference, but the temporal changes in TcB still showed regional differences (degrees of freedom=3, all interaction P<0.05). Among neonates classified as low-or low-intermediate risk within 3-day of age, 25 326 were from southern regions, of whom 4 254 (16.80%) progressed to intermediate-high or high risk between 4 and 30 days of age. In northern regions, 27 193 neonates were classified as low-or low-intermediate risk within 3-day of age, among whom 2 446 (8.99%) progressed to intermediate-high or high risk. The risk progression between the 2 regions had statistically difference ( χ2=716.49, P<0.001). Conclusions:A TcB percentile curve for neonates within 30-day of age was established, revealing that both the overall TcB level and its temporal trend were higher in southern than in northern newborns. These findings provide baseline data to support continuous management of neonatal jaundice.
8.Deep learning algorithm for lung CT synthesis based on iterative registration and perceptual loss
Tao YANG ; Miao HUANG ; Cong LIU ; Zhihua HU ; Lili TAO ; Shuping ZHANG
Chinese Journal of Medical Physics 2025;42(1):59-66
Objective To synthesize high-quality synthetic CT (sCT) images from cone beam CT (CBCT) by learning lung CT domain image features with a deep learning algorithm. Methods A sCT generation algorithm which employs perceptual loss-based cyclic generative adversarial network model (CycleGAN) and iterative registration was presented. CycleGAN model was trained to generate high-quality sCT images by combining perceptual loss and cycle consistency loss;and Elastix was used to register the generated sCT image and the planned CT (pCT) image,and iterate CycleGAN generator model. Results Experiments were conducted on the obtained pCT and CBCT data of 70 patients with lung tumors. From a quantitative perspective,the SSIM between sCT generated by the proposed algorithm and pCT was improved by 11.9% as compared with that between CBCT and pCT,increasing from 0.825 to 0.923;additionally,RMSE dropped from 110.97 HU to 78.62 HU,PSNR increased from 32.21 dB to 34.74 dB,and mutual information increased from 1.187 to 1.418. The visual evaluation revealed that the proposed algorithm greatly eliminated the scattering artifacts of CBCT slices,highlighted the bone structure,and repaired the soft tissue structure. The comparisons with U-CycleGAN,R-CycleGAN and CUT models confirmed the effectiveness of the proposed algorithm. Conclusion Using the proposed algorithm for sCT images generation can effectively reduce the dose error and structural error between CBCT and pCT,making it possible to apply the proposed algorithm to accurate dose calculations and assist doctors in clinical diagnosis.
9.Analysis on the Current Situation of Obstetrics Resources and the Centralized Development Path of Obstetric System in Chinese Public General Hospitals under the Background of Low Fertility Rate
Di WU ; Daling JIANG ; Yang SHEN ; Mulan REN ; Hong YU ; Yunlang CAI ; Shuping WANG
Chinese Hospital Management 2025;45(4):93-96
Objective To parse the current situation of obstetrics resources in Chinese Public General Hospitals,and explore a new path for the development of obstetric medical service system in public hospitals.Methods Literature search and qualitative interview methods were used to sort out the obstetric resources and services of public general hospitals.Results The obstetrics departments in public general hospitals play an important role in the obstetrics service system,which face more operation pressures and transformation difficulties in the background of low fertility.Public general hospitals can strengthen the inner horizontal integration by multidisciplinary collaboration,and external vertical with medical alliances and obstetric alliances,so as to provide high-quality and continuous obstetric services for regional pregnant women and enhance system resilience.Conclusion Centralized multidisciplinary integration inside the hospitals and alliance with other obstetrics departments outside the hospitals,namely Two"Centralized Development"may be a new path for the high-quality development of obstetrics department in public general hospitals under the background of low fertility rate.
10.Latent profile analysis of work withdrawal behaviors of junior nurses and comparison of differences in workplace social capital
Lingjuan YANG ; Yan WANG ; Donglian ZHENG ; Shuping GUO ; Shilin MA ; Doudou HUANG ; Guangli MI
Chinese Journal of Modern Nursing 2025;31(14):1890-1896
Objective:To explore the latent profiles of work withdrawal behaviors of junior nurses and their relationship with workplace social capital.Methods:Using the convenience sampling method, from July to August 2023, 348 junior nurses from five Class Ⅲ and seven ClassⅡ public hospitals in Ningxia Hui Autonomous Region were selected as the research objects. They were investigated with a General Information Questionnaire, the Work Withdrawal Behavior Scale, and the Workplace Social Capital Scale. Latent profile analysis was used to explore the categories of work withdrawal behaviors of junior nurses, and the differences in workplace social capital levels among junior nurses of different categories were compared.Results:A total of 348 questionnaires were recovered online in this survey, and 342 questionnaires were valid, with a valid rate of 98.3%. The work withdrawal behaviors of 342 junior nurses could be divided into three latent profiles, including 246 junior nurses (71.9%) in the low psychological-low behavioral withdrawal group, 81 junior nurses (23.7%) in the high psychological-low behavioral withdrawal group, and 15 junior nurses (4.4%) in the high psychological-high behavioral withdrawal group. The results of the unordered multinomial Logistic regression analysis showed that gender, whether they love nursing work or not, the average number of night shifts per month, the workplace social capital, and working years were the influencing factors of the work withdrawal behaviors of junior nurses ( P<0.05) . There were statistically significant differences in the workplace social capital among the three categories of junior nurses ( H=83.82, P<0.01) . Conclusions:There are three categories of work withdrawal behaviors among junior nurses, and there are differences in workplace social capital among junior nurses of different categories. Nursing managers should intervene and support junior nurses according to the characteristics of different categories to improve their workplace social capital levels.

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