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Journal of Nursing ›› 2018, Vol. 25 ›› Issue (24): 9-12.doi: 10.16460/j.issn1008-9969.2018.24.009

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Development of Information-based Nosocomial Venous Thromboembolism Risk Management System

ZHAO Hong-le1, DAI Ling-yu1, LV Meng2, SHI Yan-mei3, ZHANG Shu-xiang3   

  1. 1. School of Nursing, Weifang Medical College, Weifang 261053, China;
    2. School of Nursing, Shandong University,Jinan 250012, China;
    3. Qianfoshan Hospital, Jinan 250014, China
  • Received:2018-08-10 Online:2018-12-25 Published:2020-07-09

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Abstract: Objective To establish a nosocomial information platform of venous thromboembolism (VTE) risk assessment and management system and explore its application effect in clinical practice. Methods A VTE risk assessment and management system based on information platform was constructed, and VTE risk assessment was conducted for hospitalized patients. The comparison of VTE assessment time, the proportion of VTE department assessment rate, VTE case reporting rate and VTE-related knowledge of nurses before and after the application of the platform were conducted. Results After the application of VTE risk assessment and management system, the time for VTE risk assessment, data collection and processing was significantly reduced, and the difference was statistically significant （t=35.340, 5.385, 14.706, P<0.05）. There were more departments with high rate of VTE risk assessment (Z=3.760, P<0.001) and the difference of reporting rate of VTE cases before and after the application indicated statistical significance (χ2=133.669, P<0.05). The difference in scores of five dimensions of VTE-related knowledge, including basic concept, risk factors, preventive measures, clinical manifestations and VTE nursing measures was statistically significant (t=6.060, 5.347, 6.121, 11.590, 4.300, P<0.05). Conclusion The application of VTE risk assessment and management system is conducive to the control of high-risk risk factors for VTE, which can effectively improve the management of VTE, reduce the occurrence of VTE in hospitalized patients and ensure the safety of patients.

Key words: information system, venous thromboembolism, nursing management

CLC Number: 

  • R47
[1] Murphy O, O'Connell O, Liston R, et al. Venous Thromboembolism Risk and Prophylaxis in the Acute Hospital Care Setting: The Irish Results of the Endorse Study[J]. Ir Med J,2012, 105(5):140-143.DOI:10.1016/S0140-6736(08)60202-0.
[2] Lee W S, Kim K I, Lee H J, et al.The Incidence of Pulmonary Embolism and Deep Vein Thrombosis after Knee Arthroplasty in Asians Remains Loe: A Meta-analysis[J].Clin Orthop Relat Res, 2013,471(5):1523-1532.DOI:10.1007/s11999-012-2758-9.
[3] 高明榕,白利平,卫政登,等.ICU护理质量指标实时监控信息化系统的建立及应用[J].中国实用护理杂志, 2018,34(15):1140-1144.DOI:10.3760/cma.j.issn.1672-7088.2018.15.006.
[4] 王婷,周蓉,马玉红,等.信息化平台在护士规范化培训中的应用研究[J].护理学报,2017, 24(23):9-12.DOI:10.16460/j.issn1008-9969.2017.23.009.
[5] 陆叶青,丁瑞芳,吴秀芳.全电子信息排班在手术室人力资源中的调配与应用[J].护理学报,2018,25(18):34-36.DOI:10.16460/j.issn1008-9969.2018.18.034.
[6] Guyatt G H, Eikelboom J W, Gould M K, et al.Approach to Outcome Measurement in the Prevention of Thrombosis in Surgical and Medical Patients: Antithrombotic Therapy and Prevention of Thrombosis. 9th ed. American College of Chest Physicians Evidence-based Clinical Practice Guideline[J]. Chest,2012,141(2 Suppl):e185S-e194S. DOI:10.1378/chest.11-2289.
[7] Barbar S.A Risk Assessment Model for the Identification of Hospitalized Medical Patients at Risk for Venous Thromboembolism: The Padua Prediction Score[J]. J Thromb Haemost, 2010, 8(11):2450-2457.DOI:10.1111/j.1538-7836.2010.04044.x.
[8] 王晓杰,徐园,陈亚萍,等.护士VTE症知识的多中心调查[J].中华护理杂志,2017,52(12):1500-1504.DOI:10.3761/j.issn.0254-1769.2017.12.018.
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