Health management is highly complex due to interactions across multiple levels and factors. System dynamics model (SDM) offers a holistic perspective and a dynamic analytical framework for understanding such complex systems. It has been applied across various domains of health management, including psychological interventions, chronic disease management, rehabilitation, optimization of medical services, and health policy development. By identifying key factors and pathways influencing health behaviors, determining critical targets for interventions, conducting cost-benefit analyses and process optimization, and simulating the long-term effects of health policies, SDM provides quantitative support for decision-making from individual-level interventions to macro-level policies. This article reviews the application of SDM in these four major areas within health management, discusses its advantages and limitations, and serves as a reference for researchers and practitioners aiming to utilize SDM in future studies. The goal is to advance health management toward greater personalization and precision, thereby offering stronger support for health interventions and policy development.
Humans ; Health Policy ; Models, Theoretical

Objective To assess the current state and influencing factors of multi-site work-related musculoskeletal disorders (WMSDs) among front-line employees in the assembly workshop of an automobile manufacturing enterprise. Methods A total of 394 front-line workers in the assembly workshop of an automobile manufacturing enterprise in Beijing City were selected as the research subjects using the judgmental sampling method. The Chinese version Musculoskeletal Disorders Questionnaire was used to assess the presence of WMSDs over the past 12 months in nine body regions: neck, shoulders, upper back, lower back, elbows, wrists, hips and thighs, knees, ankles and feet. The multivariable logistic regression was employed to investigate the influencing factors. Results The detection rate of overall WMSDs was 32.7% (129/394), with the top three single-site WMSDs being in the neck, shoulders, and lower back, and their detection rates were 14.0%, 12.7% and 9.6%, respectively. The detection rate of multi-site WMSDs was 17.8% (70/394). The result of multivariable logistic regression analysis revealed that workers who turned or bent their upper body while keeping their legs stationary, frequently performed wrist flexion/extension/lateral bending/rotation, or stood for prolonged period of time had significantly higher risks of developing multi-site WMSDs compared with those who did not (all P<0.05). Workers who perceived uncomfortable workplace lighting had higher risk of multi-site WMSDs than those who perceived it as comfortable (P<0.01). Conclusion The development of multi-site WMSDs among workers in the assembly workshop of this automobile manufacturing enterprise is strongly related to poor working postures at work.

OBJECTIVE To construct a prevention and control index system suitable for stomatology outpatient de-partment of general hospital,so as to provide a theoretical basis for risk assessment of stomatology outpatient de-partment,and to provide an evidence-based basis for precise prevention and control.METHODS Based on the methods of literature research,literature quality evaluation and brainstorming,a draft index of the prevention and control of the general hospital's oral outpatient department was constructed,and the index system for the preven-tion and control in the stomatology outpatient department of a general hospital was finally established through re-search group discussion,content analysis and expert consultation.The three-level indicators in the index system were incorporated into the risk points of risk assessment,the failure mode and effects analysis were applied to con-duct the risk assessment,and the intervention measures and rectification cycles were formulated and implemented in clinical practice for the risk points with risk priority number(RPN)greater than 125.Based on the established index system and risk points with RPN＞125,the hospital infection prevention and control checklist for stoma-tology outpatient was developed and regularly checked in the clinic.After the rectification was completed,the risk points were evaluated again,and the RPN values were compared before and after the risk control.RESULTS The recovery rate of expert consultation questionnaire was 100.00％,and the average expert authority coefficient was 0.84.The consistency ratio(CR)for the first-level indicators was 0.0499,and the consistency ratio(CR)of the second-level indicators was 0.0000-0.0790,which was less than 0.1,and the consistency was acceptable.Final-ly,a hospital infection prevention and control index system was established,comprising 5 first-level indicators,7 second-level indicators and 23 third-level indicators.The improved key control risk points were evaluated again,and the RPN values before and after comparing the risk control were reduced and＜125,indicating that the im-provement measures were effective.CONCLUSION The evaluation system of prevention and control for the stoma-tology outpatient department of a general hospital established in this study is reliable,scientific and practical,and the improvement measures of risk assessment before and after the control of risk points are effective,which pro-vides evidence-based basis for risk assessment and precise prevention and control in the stomatology outpatient de-partment of general hospitals.

OBJECTIVE To construct a prevention and control index system suitable for stomatology outpatient de-partment of general hospital,so as to provide a theoretical basis for risk assessment of stomatology outpatient de-partment,and to provide an evidence-based basis for precise prevention and control.METHODS Based on the methods of literature research,literature quality evaluation and brainstorming,a draft index of the prevention and control of the general hospital's oral outpatient department was constructed,and the index system for the preven-tion and control in the stomatology outpatient department of a general hospital was finally established through re-search group discussion,content analysis and expert consultation.The three-level indicators in the index system were incorporated into the risk points of risk assessment,the failure mode and effects analysis were applied to con-duct the risk assessment,and the intervention measures and rectification cycles were formulated and implemented in clinical practice for the risk points with risk priority number(RPN)greater than 125.Based on the established index system and risk points with RPN＞125,the hospital infection prevention and control checklist for stoma-tology outpatient was developed and regularly checked in the clinic.After the rectification was completed,the risk points were evaluated again,and the RPN values were compared before and after the risk control.RESULTS The recovery rate of expert consultation questionnaire was 100.00％,and the average expert authority coefficient was 0.84.The consistency ratio(CR)for the first-level indicators was 0.0499,and the consistency ratio(CR)of the second-level indicators was 0.0000-0.0790,which was less than 0.1,and the consistency was acceptable.Final-ly,a hospital infection prevention and control index system was established,comprising 5 first-level indicators,7 second-level indicators and 23 third-level indicators.The improved key control risk points were evaluated again,and the RPN values before and after comparing the risk control were reduced and＜125,indicating that the im-provement measures were effective.CONCLUSION The evaluation system of prevention and control for the stoma-tology outpatient department of a general hospital established in this study is reliable,scientific and practical,and the improvement measures of risk assessment before and after the control of risk points are effective,which pro-vides evidence-based basis for risk assessment and precise prevention and control in the stomatology outpatient de-partment of general hospitals.

Objective:To explore the vigilant attention function and behavioral changes in sleep disordered breathing(SDB) children.Methods:Thirty SDB children (SDB group) and 30 normal children (control group) were selected from June 2022 to August 2023. All participants underwent continuous performance test(CPT-AX) (Go/Nogo) and behavioral test. The latency and amplitude of contingent negative variation(CNV) components under cue/uncue conditions in leads F3, Fz and F4 were measured. The t-test and Mann-Whitney U test were used to conduct statistical analysis by SPSS 25.0 software. Results:(1) There were no statistically significant differences in the number of correct responses, reaction time and number of false alarms between the SDB group and the control group (all P>0.05).(2) The latencies of cue-CNV in the SDB group(F3: 618.00(582.50, 644.50)ms, Fz: 603.00(579.50, 634.00)ms, F4: (606.87±25.07)ms) were longer than those in the control group(F3: (508.47±25.82)ms, Fz: 502.00(470.00, 520.50)ms, F4: 514.00(487.00, 536.50)ms) in leads F3, Fz and F4. The latency of cue-CNV of lead F4 in the SDB group was higher than that in the control group, and the difference was statistically significant ( P<0.05). The latencies of uncue-CNV in lead F3 and Fz in the SDB group were higher than those in the control group, and the differences were statistically significant (both P<0.05). Conclusion:SDB children have shown activation in the right brain area during attentional tasks, and the prolonged CNV latency may be a sensitive neuroelectrophysiological marker for early clinical assessment of vigilant attention dysfunction.

Objective:To explore the cognitive function characteristics of children with primary snoring (PS) and obstructive sleep apnea-hypopnea syndrome (OSAHS) using event-related potentials.Methods:From October 2020 to October 2022, 20 children with OSAHS, 20 children with PS, and 22 normal children were recruited for continuous performance task (CPT) and behavioral assessments. ERP and behavioral data were meticulously recorded, with measurements of N1, P2, N2, and P3 wave amplitudes and latencies at F3, Fz, and F4 electrode sites. Statistical analyses were conducted using one-way ANOVA and Kruskal-Wallis test via SPSS 25.0 software.Results:(1) Behavioural test: There was no statistically significant difference in terms of correct responses, response times, and false alarms among the three groups (all P>0.05). (2) F3 Lead: There were statistically significant differences in Go-P2 amplitude, Nogo-P2 amplitude, Nogo-P2 latency, Go-P3 amplitude, and Nogo-P3 latency among the three groups (all P<0.05). Specifically, the OSAHS group exhibited higher Go-P2 amplitude((15.03±5.12) μV vs (10.97±5.50)μV), Nogo-P2 amplitude((14.80±5.84) μV vs (9.67±4.79)μV), and Go-P3 amplitude((11.58±6.02) μV vs (7.49±4.89) μV) compared to the normal group. Additionally, the OSAHS and PS groups exhibited longer Nogo-P2 latency compared to the normal group((223.10±20.61) ms vs (208.00±23.09) ms, (230.60±13.61) ms vs (208.00±23.09) ms), as well as prolonged Nogo-P3 latency((459.20±34.26) ms vs (460.40±24.52) ms and (429.91±31.49) ms) (all P<0.05). Fz Lead: There were statistically significant differences in Go-N1, Go-P2, Nogo-P2, Go-P3, Nogo-N2 wave amplitudes, and Nogo-P3 latency among the three groups (all P<0.05). Compared to the normal group, the OSAHS group exhibited increased Go-P3 amplitude((9.07±5.68) μV vs (5.10±3.51) μV) and decreased Nogo-N2 amplitude((-8.80±5.97) μV vs (-12.84±4.86) μV). Moreover, both the OSAHS and PS groups had prolonged Nogo-P3 latency compared to the normal group((481.60±45.16) ms vs (435.13±28.17) ms and 484.00(443.50, 525.00) ms vs (435.13±28.17) ms) (both P<0.05). F4 Lead: There were statistically significant differences in Go-P2 and Nogo-P2 wave amplitudes among the three groups (all P<0.05). Compared to the normal group, the OSAHS group demonstrated increased Go-P2 amplitude((13.72±5.64) μV vs (9.70±4.59) μV) and Nogo-P2 amplitude((13.90±5.35) μV vs (9.64±3.74) μV) (both P<0.05). Conclusions:Both children with OSAHS and PS exhibit attentional cognitive impairments. However, children with OSAHS demonstrate more pronounced deficits in conflict monitoring, response inhibition, and executive functioning. The prolonged latency of the P3 wave serves as a sensitive electrophysiological marker for the early detection of neurocognitive impairment in children with sleep disordered breathing.

Solid dispersion technology is an advanced technology to improve the solubility and bioavailability of poorly soluble drugs.Inhibition of the recrystallization and amorphous phase separation of amorphous solid dispersion (ASD) active pharmaceutical ingredients are important to ensure product stability,so the characterization of ASD phase separation is essential.Based on the principle of phase separation,this paper analyzed and summarized the advantages,disadvantages and applicability of the various characterization techniques,in order to provide an efficient reference for the characterization and stability study of ASD.

Objective:To construct a multi-sequence MRI radiomics combined with KRAS mutation nomogram model to predict the efficacy of pathological complete response (pCR) in patients with rectal cancer after neoadjuvant chemoradiotherapy.Methods:This study was a case-control study. A total of 126 patients with rectal cancer who were treated with neoadjuvant chemoradiotherapy in the Second Affiliated Hospital of Harbin Medical University from June 2020 to December 2023 were retrospectively collected. The pathological response of the postoperative specimens was graded, with 64 cases of pCR and 62 cases of non-pCR. KRAS gene detection was performed on the pathological tissues before neoadjuvant chemoradiotherapy. Among the patients, 34 cases had KRAS mutants and 92 cases had KRAS wild-types. The 126 patients were randomly divided into a training set and a validation set at a ratio of 8∶2 by the random number method, with 101 and 25 cases, respectively. The difference in KRAS mutation status between the pCR group and the non-pCR group was compared by the χ2 test. The radiomic features were extracted from the baseline T 2WI, diffusion-weighted imaging, and apparent diffusion coefficient images of the patients. The optimal radiomic features were screened out to establish the radiomics model. The radiomics-KRAS joint model was constructed by logistic regression, and a nomogram was drawn. The application efficiency of the model was evaluated by the receiver operating characteristic curve and calibration curve. Results:There was a statistically significant difference in KRAS mutation between the pCR group and the non-pCR group in the training set ( χ2=4.69, P=0.032). Ten radiomics features were screened out in MRI images to establish the radiomics model. In the training set and validation set, the areas under the curve (AUC) of KRAS mutation, radiomics model and radiomics-KRAS nomogram model for evaluating pCR after neoadjuvant chemoradiotherapy were 0.665 (95% CI 0.592-0.757), 0.746 (95% CI 0.651-0.895) and 0.818 (95% CI 0.742-0.934), respectively, and the AUCs of the validation set were 0.613 (95% CI 0.582-0.755), 0.738 (95% CI 0.627-0.839) and 0.833 (95% CI 0.768-0.961), respectively. The results of DeLong test showed that the AUC of radiomics-KRAS nomogram model was higher than that of KRAS mutation and radiomics model, and the difference was statistically significant ( Z=0.58, 0.63, P=0.024, 0.022 in the training set; Z=0.54, 0.61, P=0.018, 0.035 in the validation set). The calibration curve showed that the predicted probability of the radiomics-KRAS nomogram model was consistent with the actual probability. Conclusions:The multi-sequence MRI radiomics combined with the KRAS mutation nomogram model has the best efficacy in predicting pCR in patients with rectal cancer after neoadjuvant chemoradiotherapy, and has good practical application value.

Objective To explore the influencing factors of visual acuity recovery in patients with high myopia after posterior chamber phakic intraocular lens(ICL)implantation.Methods A prospective study was conducted on 210 pa-tients(420 eyes)with high myopia who underwent ICL implantation at the Second Affiliated Hospital of Zhengzhou Univer-sity from May 2021 to March 2023.The patients were divided into a good recovery group[best corrected visual acuity(BC-VA)recovery ≥0.3 D]and a poor recovery group(BCVA recovery＜0.3 D)based on their visual acuity recovery status three months after surgery.The baseline data of patients in the two groups were compared,and the factors affecting visual acuity recovery were analyzed using Logistic regression.The receiver operating characteristic(ROC)curve was used to an-alyze the predictive value of the Logistic regression model for poor visual acuity recovery in patients with high myopia after ICL implantation.Results Three months after surgery,149 patients(298 eyes)were in the good recovery group,and 61 patients(122 eyes)were in the poor recovery group.There were no significant differences in gender,age,years of myopi-a,body mass index,and academic performance between the two groups(all P＞0.05).The proportions of patients with corneal astigmatism＜1.30 D(55.74％),corneal diopter＜45 D(59.02％),Pittsburgh Sleep Quality Index(PSQI)＜7 points(63.93％),and average central radius of curvature[(7.82±0.27)mm]in the poor recovery group were lower than those in the good recovery group[83.89％,81.88％,85.91％,and(7.90±0.24)mm,respectively].The central flat me-ridian curvature(k1)of the anterior corneal surface[(43.27±1.43)D],steep meridian curvature(k2)of the anterior corneal surface[(44.84±1.53)D],and arch height[(628.49±67.28)μm]in the poor recovery group were higher than those in the good recovery group[(42.73±1.42)D,(44.12±1.47)D],and[(417.56±80.14)pm],with significant differences(all P＜0.05).Logistic regression analysis showed that corneal astigmatism,corneal diopter,k1,k2,arch height,and PSQI score were independent influencing factors of poor visual acuity recovery after ICL implantation in pa-tients with high myopia(all P＜0.05).ROC curve analysis showed that the area under the ROC curve for predicting poor visual acuity recovery after ICL implantation in patients with high myopia by Logistic regression model was 0.938(95％CI:0.896-0.966),the sensitivity was 83.61％,and the specificity was 91.95％(P＜0.05).Conclusion The visual acuity recovery after ICL implantation in patients with high myopia is affected by corneal astigmatism,corneal diopter,k1,k2,arch height,and PSQI score.The Logistic regression model based on these factors has high predictive value for visual acui-ty recovery after ICL implantation.

Objective To investigate the evaluation of the nursing staff of the tertiary hospitals in Shenzhen City on the status quo of the nursing clinical support system,and to analyze its influencing factors so as to provide reference and basis for perfecting the nursing clinical support system.Methods The nursing staffs in 16 hospitals of 8 districts of Shenzhen City from December 2022 to January 2023 were selected as the survey subjects,and the general data questionnaire and the nursing clinical support system questionnaire were used for conducting the survey.Results A total of 572 questionnaires were collected,and 520 questionnaires were valid,with an effective recovery rate of 90.9％.The scores of each dimension in the nursing clinical sup-port system scale were(1.87±0.81)points for equipment and appliance support,(1.07±0.62)points for aux-iliary staff support,(1.91±0.80)points for the logistics departments support,(0.88±0.67)points for the auxiliary departments support.The results of univariate analysis showed that there were statistical differences in the equipment and appliance support scores among the nurses with different ages,different professional ti-tles and different education levels(P＜0.01);the scores of 4 dimensions had statistical differences among the nursing staffs with different departments(P＜0.01).All factors had statistically significant differences in the dimension of auxiliary department support(P＜0.05).Conclusion The popularity degree of nursing clinical support system in tertiary hospitals in Shenzhen City is high,and equipment and appliance show the character-istics of advancement and diversity.The hospital managers should strengthen the force of nursing clinical sup-port system and reduce the nursing staff to engage in non-nursing work.