25 December 2015, Volume 22 Issue 6

    

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Orignal Article
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  Create document framework and content module of birth cohort

  Xiong Changhui, Yan Yan, Tan Shan, Li Hongyan, Gao Xiao, Xiang Shiting, He Qiong, Zhang Li, Huang Li

  journal1. 2015, 22(6): 401-406. https://doi.org/10.3969/j.issn.1006-5253.2015.06.001

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  Objective Based on the data of the retrospective birth cohort and actual situation of Changsha, the study is to create a document framework and the content module for birth cohort. Methods According to characteristics of birth cohort business activities, combining with the content of China′s basic public health services, urban and rural residents′ health records and electronic medical records, the study created document framework and the content module for birth cohort. Results The study created a document framework with events summary, section, data set, data element, value range and classification model and 22 data documents including children′s basic situation, basic health basic situation of maternal family members and the children′s father. The study also created 94 content modules with 12 document header (document identification, the study object identification, communication, etc.) and 82 document bodies with 22 first content module(family situation, health check and follow-up etc.) and 60 secondary content module(document type, document name, document complete personnel, etc.).403 data element were consisted of 62 data element of document header and 341 data element of document body. Conclusion Created document architecture, 94 content modules of birth cohort reflected study content of the birth cohort. It could supply the reference to build birth cohort information software or platform.
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  Network design and construction of collaborated hospitals based on IDC

  Zhang Rui, Zhao Yulan, Li Yajie, Xu Wanhai, Sha Fei

  journal1. 2015, 22(6): 407-411. https://doi.org/10.3969/j.issn.1006-5253.2015.06.002

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  Objective To establish a digitalized medical area demonstration project of collaborated hospitals based on digital image IDC, taking the fourth affiliated hospital of Harbin medical university as the center. Methods Based on the collaborative research hospitals, the heterogeneous data were standardized to realize the sharing, exchange and interoperate. Results The collaboration based on IDC hospital networking made the images of city and county-level hospitals transmitted directly to the university′s data center, and these hospitals could directly view the diagnosis results, and read the image data stored in the medical image center through the web browser. Conclusion Information sharing brings convenience and benefits to patients, saves time for medical staff, and really solve the problem of difficulty of getting medical service and the high cost.
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  Influencing factors of hospitalization of 2 149 cases with non-traumatic cerebral infarction/cerebral hemorrhage

  Jin Lin, Luo Yuxi, Wang Changlin, Gao Zhen, Jiang Jianming

  journal1. 2015, 22(6): 412-414. https://doi.org/10.3969/j.issn.1006-5253.2015.06.003

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  Objective To Discuss influencing factors of hospitalization of patients with non-traumatic cerebral infarction/cerebral hemorrhage, so as to provide scientific basis for intervention of single disease hospitalization. Methods With the use of hospital medical record system, influencing factors of hospitalization of patients with non-traumatic cerebral infarction/cerebral hemorrhage from 2012 to 2014 were analyzed. Results For 2 149 cases of non-traumatic cerebral infarction/cerebral hemorrhage, the median hospitalization days were 13.00, and the average hospitalization days were 16.79. Univariate and multivariate stepwise regression showed that hospitalization days were relevant with age, surgery, switch departments, admission status, admission route, account address, way away from the hospital, health care treatment and other factors related (P<0.05). Conclusion Such measures as strengthening admission history collection, clarification of high-risk groups, implementation of clinical path management for high-risk and critically ill patients, operations on patients with surgical indications, and under the premise of health care quality and safety, taking into account the wishes of the economic situation and treatment will of patients, positive transfer of Branches and hospitals can effectively shorten hospitalization days of non-traumatic cerebral infarction/cerebral hemorrhage patients.
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  Study on influencing factors of positive allergens′ number based on logit-NB Hurdle model

  Liu Yanyan, Li Meng, Yu Lei, Wang Rui, Zhang Maoxiang, Liu Meina

  journal1. 2015, 22(6): 415-418. https://doi.org/10.3969/j.issn.1006-5253.2015.06.004

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  Objective To determine the influencing factors of positive allergen number with zero-inflated data using Hurdle model in order to provide scientific evidence for preventing allergy and allergic disease. Methods The basic information of 1 855 patients who visited allergic apartment in 2014 was collected, the number of specific IgE positive allergen from serum allergen was tested, and logit-NB Hurdle model was used to investigate the influencing factors of positive allergens number. Results
  The positive allergens number of 72.29％ patients was 0. Vuong test ( V=3.90 and 2.77, P＜0.05) suggested that Hurdle model was better than traditional counting model, according to LR test and AIC, BIC, and AICC values, and logit-NB Hurdle model was chosen. The result of logit part was that women were more likely to produce allergic reaction than men. The result of zero truncated negative binomial part was that mothers having high education degree were likely to have less positive allergens than those having low education degree, and mothers having a history of allergy could increase the number of positive allergen. Conclusion Analysis of zero expansion of discrete data needs to select the optimal model at first. Women are more likely to produce allergic reaction. People with low education degree and whose mother has a history of allergy should be paid more attention to prevent more allergen numbers.
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  Using ordinal logistic regression to analyze influencing factors of AIDS knowledge and attitude of migrant workers

  Hu Naibao, Sui Hong, Wang Jiu, Sun Hongwei

  journal1. 2015, 22(6): 419-422. https://doi.org/10.3969/j.issn.1006-5253.2015.06.005

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  Objective To analyze influencing factors of AIDS knowledge and attitude of migrant workers, and provide theoretical foundation for health education on AIDS prevention among migrant workers. Methods The AIDS prevention and health education questionnaire was used among the target population, and ordinal logistic regression was used to analyze influencing factors. Results The education level and marital status were the influence factors of the scores of AIDS. The higher education level, the better AIDS knowledge acquisition, and the acquisition of AIDS knowledge of married and cohabiting migrant workers was better than that of the unmarried migrant workers. Conclusion The low education level, the female and the low income level should be paid special attention in AIDS health education.
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  Forecast analysis of outpatient number based on seasonal ARIMA model

  Zhang Juan, Zhang Hongcheng

  journal1. 2015, 22(6): 423-426. https://doi.org/10.3969/j.issn.1006-5253.2015.06.006

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  Objective To understand hospital outpatient workload variation trend, and to provide a scientific basis for the rational allocation of health resources and the optimization of the allocation of medical and health resources. Methods According to the outpatient visit data of the hospital from January 2009 to June 2015, using PASW statistics18.0 software we established Seasonal ARIMA model. Results According to the value of the standardized bayesian information criterion (BIC) and mean absolute percentage error (MAPE) we chose ARIMA (1,1,1) × (0,1,1)₁₂ model as the optimal model. By the white noise testing, residual autocorrelation and partial autocorrelation function figure was within the scope of confidence interval, and The Box-Ljung inspection results showed Q₁₈ =21.863, and P＝0.111, all showing the residual error belonged to the white noisy. The statistics of Data fitting R²=0.967, predicted value was basically consistent with the increase of the actual value, and outpatient visits in the second half of 2015 and 2016 will reach 1 103 thousand and 2 460.5 thousand respectively. Conclusion Seasonal ARIMA model match perfectly outpatient number changing trend, providing basis for hospital management.
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  Curative effect analysis on Butylphthalide combined with Edaravone treating acute cerebral infarction patients

  Li Bilei, Sun Chong, Xu Dirong, Tu Zhenxia, Xu Shuai

  journal1. 2015, 22(6): 427-429. https://doi.org/10.3969/j.issn.1006-5253.2015.06.007

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  Objective To explore clinical curative effect of Butylphthalide combined with Edaravone treating acute cerebral infarction patients. Methods Eighty patients with acute cerebral infarction were randomly divided into control group (40 cases) and combination group (40 cases). The control group was given Edaravone and conventional treatment, while the combination group was given Butylphthalide soft capsule on the basis of the control group. The indexes of inflammatory reaction, NIHSS score, Barthel score, total effective rate and adverse effect were compared between the groups. Results After 30 days treatment, the levels of CRP and IL-4 in the combination group were much lower than those in the control group (P＜0.01). NIHSS score and Barthel score in the combination group were much higher than those in the control group (P＜0.01). The total effective rate in the combination group was 95.6%, much higher than that in the control group (80.0%, P＜0.05). There was no statistical significance about adverse effect rate between the two groups. Conclusion Treating acute cerebral infarction patients with Butylphthalide combined with Edaravone could cut down inflammatory reaction, improve nerve function and activities of daily living, raise total effective rate, and lower adverse effect. So it deserves to spread in clinic.
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  Application of ARIMA-BP neural network combination forecast model in heath human resource allocation

  Zhai Xiangming, Zhu Qiuli, He Xiaomin

  journal1. 2015, 22(6): 430-433. https://doi.org/10.3969/j.issn.1006-5253.2015.06.008

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  Objective By constructing combination forecast models to improve the prediction accuracy, and to provide the basis for the rational allocation of health resources. Methods ARIMA and BP neural network were combined to establish an ARIMA-BP neural network model. ARIMA model is used to predict the linear part of the data of health human resource, and the residual of the model is nonlinear, and then the BP neural network model is used to forecast the nonlinear residual sequence. The prediction of the two models is added as the forecast value of the sequence, and the random error generated by the BP neural network model is used as the prediction error of the ARIMA-BP neural network model, and the final prediction result is obtained. Finally the data of the number of health technical personnel in Shandong Povince from 1995 to 2012 were applied to verify the model, and to forecast the number of health technical personnel in Shandong Province from 2013 to 2015. Results The verification of the number of health technical personnel data of Shandong Povince from 1995 to 2012 showed that the combination forecast model which was formed by using ARIMA model to predict the linear data, and using BP neural network to predict the error of ARIMA, reduced the ARIMA model prediction error and improved the accuracy of prediction. The combined model forecast the numbers of health technicians in 2013, 2014 and 2015 in Shandong Province were 581 297, 635 013 and 686 465 respectively. Conclusion The combination forecasting model can make use of a variety of sample information to a large extent, and consider the problem more systematically than a single comprehensive predictive model to improve prediction accuracy. Therefore, it may be applied in human resources for health.
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  Investigation on correlated factors affecting the relapse of bipolar disorder

  Liu Huiguo, Liu Lingjiang, Zheng Tianming

  journal1. 2015, 22(6): 436-438. https://doi.org/10.3969/j.issn.1006-5253.2015.06.010

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  Objective To explore the causes and correlated factors of the relapse of bipolar disorder, and to provide basis for early treating of bipolar disorder and preventing of relapse. Methods With case-control study method, 96 confirmed cases with bipolar disorder were divided into case group and control group according to relapse, and we collected possible correlated factors of the relapse of bipolar disorder through following-up. Then, single factor and multiple factors analysis methods were used to screen influencing factors of bipolar disorder. Results The incidence rate of relapse of bipolar disorder in 2 years was 51.0% (49/96). Multiple factors analysis result showed that the protective factors of the relapse of bipolar disorder included use of mood stabilizer (OR=0.157), use of antipsychotics (OR=0.258) and long-term use of stabilizer (OR=0.207), while the risk factors of the relapse of bipolar disorder contained long-term use of benzodiazepine (OR=3.931), somnipathy (OR=7.001) and delayed first treatment (OR=3.607). Conclusion There is a high relapse rate of bipolar disorder, and it is intimately correlated with rationality and sufficiency of medication, substance abuse, somnipathy, delayed first treatment, somatic disease and life events.
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  Analysis of risk factors to effect emergence agitation in 358 cases after abdominal operation

  Wang Zhifeng

  journal1. 2015, 22(6): 439-440. https://doi.org/10.3969/j.issn.1006-5253.2015.06.011

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  Objective To investigate risk factors to effect emergence agitation after abdominal operation. Methods Totally 358 patients with abdominal operation were selected from August 2014 to February 2015 in our hospital, and their clinical data were retrospectively analyzed. The influencing factors to effect emergence agitation were analyzed with the single factors analysis and Logistic regression analysis. Results 82 patients with emergence agitation in 358 cases, accounted for 22.9%. Single factors analysis and Logistic regression analysis revealed that maintenance by inhalation anesthesia, stimulated drug, no postoperative analgesia, urinary catheterization were the risk factors of emergence agitation (OR=2.769, 2.584, 3.947 and 2.013 respectively). Conclusion The emergence agitation after abdominal operation is affected by many factors. Medical personnel need to take measures in order to reduce the incidence of emergence agitation.