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25 August 2026, Volume 33 Issue 4
    

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  • ChenJinxiang, PengGuizhi, TianHong, ZhaoGuiqin, LinXiuqin
    Chinese Journal of Hospital Statistics. 2026, 33(4): 289-295. https://doi.org/10.3969/j.issn.1006-5253.2026.04.001
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    Objective To establish a predictive model of malnutrition in patients with Alzheimer's disease (AD) during home rehabilitation, and to provide evidence for clinical prevention of malnutrition. Methods Four hundred AD patients admitted to a hospital from February 2020 to January 2023 were retrospectively selected as the study objects, and were divided into the model samples (280 cases) and the validation samples (120 cases) at a ratio of 7:3. Both samples were divided into the malnourished group and the well-nourished group according to the nutritional status during the follow-up period. Multivariate logistic regression was used to analyze the influencing factors of malnutrition and build a risk prediction model for malnutrition in AD patients. ROC curve was used to judge the accuracy of the model. Results Among the model samples, 150 cases (53.57%) were classified as malnourished, while 130 (46.43%) were well-nourished. The multivariate analysis results showed that age (OR=0.344, 95%CI: 0.167-0.708, P=0.004), serum albumin (ALB) (OR=0.809, 95%CI: 0.710-0.921, P=0.001), mini-mental state examination (MMSE) score (OR=0.750, 95%CI: 0.649-0.867, P<0.001), and caregiver's general self-efficacyscale (GSES) score (OR=0.174, 95% CI: 0.078-0.389, P<0.001) were protective factors for malnutrition in AD patients. Long-term bed rest (OR=2.130, 95%CI: 1.047-4.333, P=0.037), comorbid depression (OR=2.667, 95%CI: 1.308-5.437, P=0.007), activity of daily living (ADL) score (OR=1.901, 95%CI: 1.593-2.268, P<0.001) were identified as the significant risk factors. A predictive model was developed with the following equation: logit(P) = -5.620-1.068×age+0.756×prolonged bed rest+0.981×comorbid depression-0.212×ALB-0.287×MMSE score-1.750×caregiver GSES score+0.642×ADL score. Conclusion The prediction model of malnutrition risk in AD patients is effective. Medical staff can use long-term bed rest, ALB, MMSE score, GSES score and ADL score to help judge the risk of malnutrition in AD patients and take targeted intervention programs.
  • GuoLanying, GuoHuiyun, LiuLifei
    Chinese Journal of Hospital Statistics. 2026, 33(4): 296-301. https://doi.org/10.3969/j.issn.1006-5253.2026.04.002
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    Objective To study the potential categories of the development trajectories of self-efficacy in patients with depression and analyze the influence of different trajectory categories on medication adherence. Methods Prospective selection of 250 patients with depression admitted to the hospital from January2021 to June2024 as the research subjects. The general self-efficacy scale (GSES) was used to assess the self-efficacy levels of patients at four time points: before the treatment, oneweek after the treatment, twoweeks after the treatment, and onemonth after the treatment. The optimal number of categories was analyzed by the growth mixture model and named. Onemonth after the treatment, the Morisky medication adherence scale-8 (MMAS-8) was used to assess the patients' medication adherence. According to the scale results, the patients were divided into the good-adherence group and the poor-adherence group. Patient data were collected, and the influence of different self-efficacy development trajectory categories on patients' medication adherence was analyzed by univariate analysis and multivariate binary logistic regression analysis. Results The self-efficacy trajectories of 250 patients with depression could be divided into four categories: continuously low self-efficacy type (28.80%), low self-efficacy-improvement type (26.40%), high self-efficacy-reduction type (15.20%), and continuously high self-efficacy type (29.60%). There were 102cases (40.80%) in the good-adherence group and 148cases (59.20%) in the poor-adherence group. The results of univariate and multivariate analyses showed that educational levels, marital status, adverse drug reactions, and self-efficacy development trajectories were independent influencing factors for patients' medication adherence (P<0.05). Conclusion There is certain heterogeneity in the development trajectories of self-efficacy in patients with depression, and it is an independent influencing factor for patients' medication adherence. Medical staff can take targeted measures to control the development of patients' self-efficacy trajectories.
  • LiuYan, ZhangYouqiao, ZengXiaoyan, LiXinghai
    Chinese Journal of Hospital Statistics. 2026, 33(4): 302-307. https://doi.org/10.3969/j.issn.1006-5253.2026.04.003
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    Objective To explore the change trend of hope level and fear of disease progression in patients with liver cancer after interventional therapy over time and their relationship. Methods A total of 260 patients with liver cancer who underwent interventional therapy in a hospital from September2022 to March2024 were prospectively selected as the research objects for a questionnaire survey. The Herth hope index (HHI) and fear of progression questionnaire-short form (FoP-Q-SF) were used to investigate the patients at the end of the first month (T1), the fourth month (T2) and the seventh month (T3) of interventional therapy. AMOS was used to construct a cross-lag analysis model to analyze the causal time relationship and action direction between the hope level and fear of disease progression in patients with liver cancer after interventional therapy. Results The HHI scores of patients at T1, T2 and T3 were (24.97±2.48), (26.62±2.33) and (28.75±2.57), respectively, and there were statistically significant differences in pairwise comparison at different time points (P<0.05). The scores of FoP-Q-SF at T1, T2 and T3 were (35.02±3.19), (32.21±3.28) and (30.76±3.49), respectively, and there were statistically significant differences in pairwise comparison at different time points (P<0.05). The results of cross-lag analysis showed that the hope level T1 could negatively predict the fear of disease progression T2, the hope level T2 could negatively predict the fear of disease progression T3, the fear of disease progression T1 could negatively predict the hope level T2, and the fear of disease progression T2 could negatively predict the hope level T3. The cross-regression coefficients of each path were -0.242, -0.552, -0.553 and -0.418, respectively (P<0.05). Conclusion There is a cross-lag effect between the hope level and the fear of disease progression in patients with liver cancer after interventional therapy, indicating that the two have a causal relationship in multiple time spans. It suggests that medical staff can reduce the fear of disease progression level and improve the quality of prognosis by improving the hope level of patients.
  • ChengZixu, FangKang, LuQiaoli
    Chinese Journal of Hospital Statistics. 2026, 33(4): 308-314. https://doi.org/10.3969/j.issn.1006-5253.2026.04.004
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    Objective To construct a nomogram prediction model for postoperative sore throat (POST) risk in patients undergoing single-lumen endotracheal intubation. Methods Patients who received single-lumen endotracheal intubation in our hospital from October 2022 to January 2025 were enrolled and divided into a training cohort and a validation cohort at a ratio of 7:3. The training cohort was further divided into the POST group and the non-POST group. Clinical data were collected. Univariate and multivariate logistic regression analyses were performed to screen the risk factors of POST, and a nomogram model was established accordingly. Results A total of 241 patients were included. Age>60 years, female gender, preoperative fasting time>11 h, endotracheal tube diameter>7.5 mm, intubation duration>2 h, and extubation force>13 N were independent risk factors for POST (P<0.05). The calibration curve of the model showed good consistency between the predicted probability and the actual probability of POST. The AUC of the ROC curve in the training cohort was 0.921 (95% CI: 0.879–0.962). The clinical decision curve indicated that the nomogram had favorable clinical applicability for POST prediction when the threshold probability ranged from 0.05 to 0.96. External validation showed good calibration efficiency, with an AUC of 0.854 (95% CI: 0.790–0.917). The model presented good clinical value within the threshold probability of 0.12 to 0.85. Conclusion The nomogram model established based on age, gender, preoperative fasting time, endotracheal tube diameter, intubation duration and extubation force has great potential for predicting POST risk in patients with single-lumen endotracheal intubation.
  • LongXi, ShiYunxi, HuangZhongyu
    Chinese Journal of Hospital Statistics. 2026, 33(4): 315-321. https://doi.org/10.3969/j.issn.1006-5253.2026.04.005
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    Objective To analyze the nursing needs of early breastfeeding in pregnant women with gestational hypertension (GH) based on the Kano model, and to further screen the needs and optimize the nursing strategies. Methods The convenience sampling method was adopted to include 275 GH women who gave birth in a hospital from February 2023 to April 2024. The Kano model combined with Delphi expert consultation method was used to design a questionnaire on the nursing needs of GH women in early breastfeeding. The Kano model was used to analyze the demand attribute classification, better-worse coefficient and two-dimensional matrix to determine the information demand attribute, and to select the elements which were the most sensitive and needed to be improved for strategy optimization. Results A total of 275 questionnaires were sent out in this study, and 254 (92.36%) were valid. The results showed that among the 16 demands, 5 were expected demands, accounting for 31.25%; two needs belonged to the charm needs, accounting for 12.50%; 7 requirements were necessary requirements, accounting for 43.75%; and two demands belonged to undifferentiated needs, accounting for 12.50%. Among them, the formulation of the early feeding program, the increase of the opportunity of mother-infant interaction, and the lactation nutrition planning were the highest in sensitivity. Conclusion Based on the sensitivity analysis, in order to further optimize the maternal nursing experience, the follow-up recommendations focus on providing breastfeeding related support, suggesting that nurses should develop daily feeding plans for GH mothers, increase the opportunities for maternal and infant interaction in the mother and baby room, provide adequate water and specific nutritional support to promote milk secretion, so as to meet the needs of GH maternal care, and to ensure successful early breastfeeding.
  • ZhongMei, YiHongmei, TuYue, HuangXiaoyan
    Chinese Journal of Hospital Statistics. 2026, 33(4): 322-328. https://doi.org/10.3969/j.issn.1006-5253.2026.04.006
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    Objective To explore the latent profile classification of postoperative rehabilitation characteristics in patients with cervical spondylotic radiculopathy (CSR) and analyze the influencing factors.Methods A convenience sampling method was used to select CSR patients at a hospital from January 2023 to January 2025 as research subjects. Three months postoperatively, patients were surveyed with general information questionnaires, the Cervical Spondylotic Radiculopathy Rehabilitation Evaluation Scale (RES-CSR), the General Self-Efficacy Scale (GSES), the Social Support Rating Scale (SSRS), and the Pittsburgh Sleep Quality Index (PSQI). The 4 dimensions of the RES-CSR were used as manifest indicators for latent profile analysis. Differences in general information, self-efficacy, social support, and sleep quality among different latent profile groups were compared. Multinomial logistic regression analysis was used to identify factors influencing the latent profile classification of postoperative rehabilitation characteristics in CSR patients.Results The RES-CSR score for the 271 CSR patients was (75.18±10.64) points. Further latent profile analysis revealed three subtypes of postoperative rehabilitation characteristics in CSR patients: high physical self-care ability-psychosocial adaptation type (131 cases, 48.34%), moderate physical self-care ability-low psychosocial adaptation type (83 cases, 30.63%), and low physical self-care ability-low psychosocial adaptation type (57 cases, 21.03%). Univariate analysis showed significant differences among the three groups in age, prolonged desk work, compressed segment, GSES, SSRS, and PSQI scores (P<0.05). Multinomial logistic regression analysis indicated that compared to the high physical self-care ability-psychosocial adaptation type group, age, long-term desk work, compressed segments, GSES scores, SSRS scores, and PSQI scores were influencing factors for the low physical self-care ability-low psychosocial adaptation type group (P<0.05); age, compressed segments, GSES scores, SSRS scores, and PSQI scores were influencing factors for the moderate physical self-care ability-low psychosocial adaptation type group (P<0.05).Conclusion Postoperative rehabilitation characteristics of CSR patients exhibit group heterogeneity and are associated with multiple factors. Clinical nurses should conduct targeted assessments and interventions based on the characteristics of different groups to improve postoperative rehabilitation in CSR patients.
  • LiJie, HuangXiaofeng, XiaoYiying, FuYanfang, SunHongyun, LiHaiying
    Chinese Journal of Hospital Statistics. 2026, 33(4): 329-333. https://doi.org/10.3969/j.issn.1006-5253.2026.04.007
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    Objective To investigate the medication compliance status among acne patients undergoing oral isotretinoin treatment and to evaluate the factors influencing their adherence.Methods Acne patients who received the oral isotretinoin treatment at the Dermatology Outpatient Clinic of Binzhou Medical University Hospital from March 2024 to November 2024 were selected. The Morisky medication adherence scale (MMAS) was used to assess medication adherence, and relevant data were collected. The SPSS 29.0 software was used to analyze collected data, and descriptive analysis, chi-square test, Mann-Whitney U test, and binary logistic stepwise regression were used to identify factors influencing the adherence.Results Median score of compliance in acne patients treated with oral isotretinoin was 6; 155 exhibited poor medication adherence, accounting for 42.23%; 212 demonstrated good adherence, accounting for 57.77%. Binary logistic regression analysis identified the following as significant factors influencing medication adherence: methods of medical payment, frequency of follow-up visits, history of previous acne treatment, family support, and medication beliefs.Conclusion The medication adherence among acne patients treated with oral isotretinoin is at a moderate level. Self-payment, infrequent follow-up visits, history of previous acne treatment, limited family support, and low medication belief were identified as negative factors affecting adherence in these patients.
  • LuoJian, ShiYunfang, XiongYue, ChenSiwei, MaChuncai
    Chinese Journal of Hospital Statistics. 2026, 33(4): 334-339. https://doi.org/10.3969/j.issn.1006-5253.2026.04.008
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    Objective To explore the hospitalization costs of newly diagnosed patients with cerebral infarction and provide a reference for the rational allocation of medical expenses.Methods The category fields I63.001-I63.907 of the International Classification of Diseases (ICD-10) were used as search criteria, and relevant information of hospitalized patients diagnosed with cerebral infarction for the first time from January 1, 2022 to December 31, 2024 was extracted from the medical record information system of a tertiary hospital. The data were statistically analyzed with the t-test, the analysis of variance, the chi-square test, and the rank sum test.Results ① The average age of patients was (61.07±12.41) years old, showing a trend of youthfulness, with the number decreasing year by year, and the age group concentrated between 41 and 80 years old; ② among the main disease diagnoses (four types of cerebral infarction, including cerebral artery and basal ganglia), cerebral artery infarction had the highest hospitalization costs (significantly different from most types); ③ urban employees had the highest medical insurance costs (no difference from urban and rural residents' medical insurance); ④ the hospitalization expenses decreased year by year, but the proportion of high expenses (>8000 yuan) was still high; ⑤ logistic regression showed that medical payment method, length of hospital stay, laboratory diagnosis fee, surgical treatment fee, Western medicine fee, and medical insurance payment coefficient were the main influencing factors.Conclusion The population affected by cerebral infarction is becoming younger, and its hospitalization costs are influenced by multiple factors such as medical payment methods, length of hospital stay, diagnosis and treatment project costs, and medical insurance policies.
  • Li Wanru, Han Ting
    Chinese Journal of Hospital Statistics. 2026, 33(4): 340-343. https://doi.org/10.3969/j.issn.1006-5253.2026.04.009
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    Objective To explore the time‑series variation rule of outpatient volume in a tertiary‑A assisted reproductive special hospital from 2010 to 2024. Methods The outpatient volume data of the hospital from 2010 to 2024 were collected. Seasonal index analysis was adopted for descriptive analysis to analyze its monthly, quarterly and annual variation characteristics. Results The overall outpatient volume of the hospital showed an upward trend in these 15 years, reaching a peak of 453823 person‑times in 2016. January and February were the trough periods, with seasonal indexes of 66.26% and 62.77% respectively; March, July and August were the peak periods with seasonal indexes higher than 100%, which were 113.76%, 115.15% and 112.65% respectively. The seasonal index of the first quarter was the lowest (80.93%), while those of the second and third quarters were relatively high, which were 108.67% and 109.72% respectively. Conclusion The outpatient volume presents quarterly cyclical fluctuation with roughly identical variation amplitude. The outpatient volume is relatively low in the first quarter each year and relatively high in the second and third quarters. Hospital administrators can dynamically allocate resources and optimize medical procedures according to seasonal rules so as to provide higher‑quality services. This study provides data support and decision‑making reference for the refined operation of assisted reproductive special hospitals.
  • Li Jizhi, Liu Jun
    Chinese Journal of Hospital Statistics. 2026, 33(4): 344-347. https://doi.org/10.3969/j.issn.1006-5253.2026.04.010
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    Objective To explore the impact of continuous improvement of medical insurance settlement list management and quality control rules based on intelligent quality control system on diagnosis‑related groups(DRG) payment, and provide reference for hospital DRG payment refinement management. Methods Five hundred inpatient cases from January to June 2025 were collected from Chongqing Red Cross Hospital to obtain their hospitalization medical record home page and medical insurance settlement list. The 500 cases were stratified and randomized into a control group and an experimental group, with 250 cases in each group. The control group received manual quality control, while the experimental group applied a continuous improvement plan based on intelligent quality control system for medical insurance settlement list management and quality control rules on the basis of the control group. The accuracy of the main diagnostic selection, the accuracy of the main surgical selection, the high reliability rate, the weight difference of single case payment, and the single case surplus were compared between the two groups. Results The accuracy rate of the main diagnostic selection in the experimental group was 98.4%, which was higher than that in the control group(92.0%), and the difference between the two groups was statistically significant(P<0.05). The main surgical selection accuracy rates of the control group and the experimental group were 98.5% and 99.5%, respectively, with no statistically significant difference between the two groups(P>0.05). The high reliability rate of the experimental group was 3.2%, which was lower than 12.0% of the control group, and the difference between the two groups was statistically significant(P<0.05). The weight difference of single case payment in the experimental group(0.21±0.12) was higher than that in the control group(0.12±0.07), and the difference between the two groups was statistically significant(P<0.05). The surplus of a single case in the experimental group(768.32±324.64) yuan was higher than that in the control group(252.41±159.35) yuan, and the difference between the two groups was statistically significant(P<0.05). Conclusion The continuous improvement plan for medical insurance settlement list management and quality control rules based on intelligent quality control system can improve the accuracy of main diagnosis selection, reduce high accuracy and reliability, enhance the weight of single case payment, increase single case balance, and achieve quality and efficiency improvement in DRG payment reform.
  • Zhou Ge
    Chinese Journal of Hospital Statistics. 2026, 33(4): 348-355. https://doi.org/10.3969/j.issn.1006-5253.2026.04.011
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    Objective To address the issues of imbalanced supply and demand in inpatient bed allocation and low resource utilization efficiency, and to explore bed allocation and continuous optimization strategies based on K‑Means clustering analysis, in order to achieve precise allocation and efficient utilization of bed resources. Methods Data were collected such as the total annual actual occupied bed days, average length of stay, and emergency admission ratio of 44 inpatient departments in Shenzhen Second People′s Hospital. The K‑Means clustering algorithm, combined with the elbow method, was used to determine the optimal number of clusters, and the departments were divided into four categories. Differentiated target bed utilization rates were set based on the business characteristics of each cluster, and the number of beds was calculated using the formula 'number of beds=total actual occupied bed days/(365×target bed utilization rate)'. Meanwhile, a continuous optimization mechanism of 'dynamic data monitoring‑quarterly evaluation and adjustment‑flexible resource allocation' was constructed, and an inter‑departmental bed sharing pool was established to cope with short‑term fluctuations. Results Each cluster exhibited distinct characteristics: cluster 0 had an average surgical operation proportion of 73.46%, mainly focusing on surgical treatment with a large proportion of non‑emergency patients, and the target utilization rate was set at 90.00%; cluster 1 admitted patients with severe conditions and long hospital stays, along with a high emergency admission ratio, with the target utilization rate set at 85.00%; cluster 2 mainly served non‑emergency and non‑surgical patients, and the target utilization rate was set at 95.00%; cluster 3 had an average emergency admission ratio as high as 79.49%, but with extremely low surgical volume, the target utilization rate was adjusted to 93.00%. After calculating the number of beds for each department and comparing it with the average number of inpatients in 2024, the matching degree between bed supply and demand significantly improved. Through dynamic optimization, the coexistence of resource idleness and shortages was effectively reduced. Conclusion The dynamic bed allocation method based on K‑Means clustering can effectively solve the problem of misallocation of bed resources among departments. Combined with the continuous optimization mechanism, it can achieve refined management and dynamic balance of bed resources, providing a scientific approach for hospitals to improve operational efficiency and enhance the patient experience.
  • Liang Chen, Yang Huanhai, An Fengxue, Xiao Xiaofei
    Chinese Journal of Hospital Statistics. 2026, 33(4): 356-360. https://doi.org/10.3969/j.issn.1006-5253.2026.04.012
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    Objective To clarify the influence of chronic ankle instability (habitual ankle sprain) on the kinematic parameters of lower limb joint flexion and extension during walking in young people, and to provide quantitative evidence for the formulation of personalized rehabilitation training programs. Methods A case‑control study was conducted. The VICON three‑dimensional motion capture system was used to collect the flexion/extension angles, angular velocities, and angular accelerations of the ankle, knee, hip, and pelvis during natural walking in both groups. Statistical analysis was performed using SPSS 27.0. Results Compared with the normal group, the maximum flexion angles of the ankle, hip, and knee in the ankle instability group were significantly reduced (P<0.05), and the maximum extension angle of the hip was significantly decreased (P<0.05); the angular velocities of flexion and extension of the ankle, knee, hip, and pelvis were all significantly decreased (P<0.05); the angular accelerations of flexion and extension of the ankle and knee were significantly reduced (P<0.05). Conclusion Chronic ankle instability leads to a significant decrease in the range of motion, movement speed, and dynamic efficiency of lower limb joints in young people, and triggers compensatory movement adjustments in proximal joints such as the hip and pelvis. Clinical rehabilitation should target the improvement of ankle, knee, and hip joint function to restore the balance of lower limb coordinated movement and reduce the risk of injury recurrence.
  • Wang Mengru, Wang Congju, Gui Guoping, Guo Feng, Zha Risheng, Sun Hongpeng
    Chinese Journal of Hospital Statistics. 2026, 33(4): 361-367. https://doi.org/10.3969/j.issn.1006-5253.2026.04.013
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    Objective To predict the onset trend of infected individuals and hospitalized patients, so as to provide a theoretical basis for responding to sudden acute infectious diseases, evaluating medical resource demands and prevention‑control strategies. Methods An extended SEIR dynamic model based on social network was adopted to simulate epidemic transmission trends. Combined with actual prevention‑control strategies, simulation analysis was conducted on the effects of different intervention intensities (p=0.15, 0.1, 0), intervention initiation time (t=10, 20, 30, 40, 50 d) and intervention duration (d=30, 60, 90, 120 d) on epidemic dynamics and medical bed demands. Results Within the 300‑day simulation period, the number of symptomatic patients peaked at 7 654 (7.65%) on the 57th day, and the number of hospitalized patients peaked at 845 (8.45‰) on the 61st day. Medical institutions began to be overloaded on the 51st day, lasting for 21 days. Under three combined intervention scenarios, the peaks of symptomatic and hospitalized patients both decreased. Different interventions reduced the peak number of symptomatic patients by 0.59%‑5.13% and postponed peak occurrence by 25‑138 d; the peak number of hospitalized patients decreased by 0.21‰‑4.37‰, with peak time delayed by 26‑139 d. Conclusion The evaluation of intervention effects shows that moderate‑intensity interventions can also significantly flatten the epidemic curve. Measures such as early partial closure of public places can keep hospitalization demands below total bed capacity, thus avoiding medical‑system overload at relatively low social costs.
  • Hao Yihan, Dai Jiyuan, Wang Ruoyu, Mi Wei
    Chinese Journal of Hospital Statistics. 2026, 33(4): 368-372. https://doi.org/10.3969/j.issn.1006-5253.2026.04.014
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    Objective To investigate the effects of dietary factors on cognitive function in elderly Chinese patients with diabetes and provide evidence for dietary interventions.Methods Based on the 2018 China Longitudinal Healthy Longevity Survey(CLHLS)database,1205 diabetic patients aged≥65 years old were included,and 21.7% of the participants had cognitive impairment.Cognitive function(classified by MMSE score)was the dependent variable,while 14 dietary factors(e.g.,fresh vegetables,garlic)served as independent variables.Socio‑demographic and behavioral covariates were adjusted.Binary logistic regression was used to analyze the relationship between dietary factors and cognitive function,and subgroup analysis was performed.Results Cognitive dysfunction was observed in 21.7% of participants.After full adjustment,intake of fresh vegetables(OR=0.540,95%CI:0.325‑0.897)and garlic(OR=0.704,95%CI:0.499‑0.993)were protective factors against cognitive impairment(P<0.05).Subgroup analysis revealed stronger protective effects of vegetables in females,individuals aged 65‑79,rural residents,those with low education,and non‑exercisers,while garlic's benefits were more pronounced in males,individuals aged 65‑79,and those with reading habits.Conclusion Increased consumption of fresh vegetables and garlic may reduce cognitive impairment risk in elderly diabetic patients.Dietary management should prioritize these foods alongside principles such as low‑glycemic index(low‑GI)diets and calorie control.
  • Wang Pingyu, Jia Gaizhen, Han Wenting, Yang Huijun, Wang Yanan, Pang Yiming, Feng Chuanteng
    Chinese Journal of Hospital Statistics. 2026, 33(4): 373-376. https://doi.org/10.3969/j.issn.1006-5253.2026.04.015
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    Objective To summarize the construction experience of the National First‑Class Undergraduate Course in Epidemiology at Binzhou Medical University,and to provide references for promoting teaching reform in courses at local medical colleges.Methods The reform measures and implementation outcomes of the course were systematically reviewed,focusing on the construction of a blended teaching model,integration of ideological and political education,alignment of the syllabus with postgraduate entrance and professional qualification examinations,research feeding back into teaching,and the combination of theory and practice.Results Through a questionnaire survey,over 90% of students gave positive feedback on the course.The curriculum syllabus was closely aligned with the postgraduate entrance examination and the National Medical Licensing Examination.The postgraduate entrance examination rate of the preventive medicine major exceeded 60%,and the knowledge mastery rate of epidemiology in the 2025 National Medical Licensing Examination reached 78.31%,which was higher than the national average of 74.67%.Conclusion The teaching reform of epidemiology has achieved remarkable results.In the future,efforts will be made to optimize MOOC resources,promote digital and intelligent curriculum construction,and build a precision teaching model,so as to provide reference for the construction and reform of related courses in local medical colleges and universities.
  • Wei Fei, Shi Haishan, Hu Naibao, Zhang Luping, Li Zhiguo, Zhang Yu, Yu Li
    Chinese Journal of Hospital Statistics. 2026, 33(4): 377-381. https://doi.org/10.3969/j.issn.1006-5253.2026.04.016
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    Objective To establish and validate a competency‑based evaluation framework for enhancing the quality and effectiveness of standardized training for clinical medicine graduate students.Methods The Delphi method was employed to develop a competency evaluation system comprising 7 primary indicators,14 secondary indicators,and 38 tertiary indicators.The indicator weights were determined through two rounds of consultations with 35 medical education and clinical experts.A longitudinal study was conducted with 500 graduate students from 5 national standardized training bases in Shandong Province.Competency assessments were administered with the competency scale before the training(April to May 2024)and three months after the training(August 2024),with capability changes analyzed via paired t‑test.Results Clinical practice and doctor‑patient communication skills showed significant improvement,while research and innovation capabilities demonstrated modest progress without reaching optimal levels.Among tertiary indicators,medical history collection and acute/critical case management demonstrated the most notable enhancements.Low‑baseline trainees achieved an 18.6% improvement rate,indicating a pronounced"shortfall compensation effect".The scale exhibited strong internal consistency(α=0.902),structural validity(KMO=0.871),and expert agreement(W‑test P<0.01),confirming the system's scientific validity.Conclusion The competency‑based evaluation framework effectively enhances core clinical competencies in standardized training participants and promotes differentiated instruction through dynamic feedback.This system can provide a theoretical foundation for quality monitoring and assessment of clinical medicine graduate education in China.
  • Wang Xiaoyue, Jin Xiaoxiang, Dong Wenxing, Hu Naibao, Liang Chen
    Chinese Journal of Hospital Statistics. 2026, 33(4): 382-384. https://doi.org/10.3969/j.issn.1006-5253.2026.04.017
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    Objective To explore the application value of R software in the estimation of sample size for t‑test.Methods Taking the statistical analysis software RStudio4.4.3 as an example,the sample size estimation process of one‑sample t‑test,two independent sample t‑test,and paired t‑test was demonstrated,and the R software commands for sample size estimation of various t‑test were provided.Results Through the pwr.t.test function in the pwr package of R software,the required sample size for various t‑test can be estimated by adjusting parameters such as effect size,significance level,test power,and test type according to the actual situation.Conclusion Compared with other methods such as theoretical formula calculation,the pwr package in R software is more convenient and flexible,easier for beginners to master,and has stronger extensibility and openness.It helps researchers make scientific decisions in the experimental design stage and reduces resource waste.