中国民康医学
中國民康醫學
중국민강의학
MEDICAL JOURNAL OF CHINSEE PEOPLE HEALTH
2014年
15期
90-92
,共3页
盛嘉玲%杨松%杨帆%王昊
盛嘉玲%楊鬆%楊帆%王昊
성가령%양송%양범%왕호
康复分类软件系统%慢性精神病患者%康复分类
康複分類軟件繫統%慢性精神病患者%康複分類
강복분류연건계통%만성정신병환자%강복분류
Rehabilitation classification software system%Chronic psychiatric patients%Classification of rehabilitation
目的:建立慢性精神病患者康复分类软件评估体系,为功能评估、分类康复疗效分析、跟踪随访奠定基础。方法:系统分为专业和计算机编程设计两部分,主要原理是运用住院精神病患者日常生活能力评定量表(ADLPI)、住院精神病患者社会功能评定量表(SSPI)进行评定,由计算机实现自动分类、保存、对比等功能,并以报表的形式输出结果。结果:系统共有4个模块组成,客户端界面可直接进行量表评定输入,即可完成患者的社会功能评估和分类。通过3年的不断改进、升级和临床运用,实现全院6个病区联网。经检验计算机分类与临床经验分类结果有较高的一致性,Kappa 值=0.857。结论:康复分类软件实现了智能化评估、分类功能,便于跟踪随访;量化评分标准,减少人为的误差;为住院慢性精神病患者分类康复疗效的评估提供重要依据。
目的:建立慢性精神病患者康複分類軟件評估體繫,為功能評估、分類康複療效分析、跟蹤隨訪奠定基礎。方法:繫統分為專業和計算機編程設計兩部分,主要原理是運用住院精神病患者日常生活能力評定量錶(ADLPI)、住院精神病患者社會功能評定量錶(SSPI)進行評定,由計算機實現自動分類、保存、對比等功能,併以報錶的形式輸齣結果。結果:繫統共有4箇模塊組成,客戶耑界麵可直接進行量錶評定輸入,即可完成患者的社會功能評估和分類。通過3年的不斷改進、升級和臨床運用,實現全院6箇病區聯網。經檢驗計算機分類與臨床經驗分類結果有較高的一緻性,Kappa 值=0.857。結論:康複分類軟件實現瞭智能化評估、分類功能,便于跟蹤隨訪;量化評分標準,減少人為的誤差;為住院慢性精神病患者分類康複療效的評估提供重要依據。
목적:건립만성정신병환자강복분류연건평고체계,위공능평고、분류강복료효분석、근종수방전정기출。방법:계통분위전업화계산궤편정설계량부분,주요원리시운용주원정신병환자일상생활능력평정량표(ADLPI)、주원정신병환자사회공능평정량표(SSPI)진행평정,유계산궤실현자동분류、보존、대비등공능,병이보표적형식수출결과。결과:계통공유4개모괴조성,객호단계면가직접진행량표평정수입,즉가완성환자적사회공능평고화분류。통과3년적불단개진、승급화림상운용,실현전원6개병구련망。경검험계산궤분류여림상경험분류결과유교고적일치성,Kappa 치=0.857。결론:강복분류연건실현료지능화평고、분류공능,편우근종수방;양화평분표준,감소인위적오차;위주원만성정신병환자분류강복료효적평고제공중요의거。
Objective:To establish a system of software evaluation for classification of chronic psychiatric rehabilitation, laying a foundation for functional evaluation, classification rehabilitation efficacy analysis, and follow-up. Methods:The system was divided into two parts: professional and computer programming design. The main principle was to use the activity of daily living scale for psy-chiatric inpatients (ADLPI), the scale of social-skills for psychiatric Inpatients (SSPI) to assess, and then it was implemented by computer to automatic classification, preservation, contrast, output in the form of the report. Results: The system was constituted with four modules, the scale can be directly input through client interface, thereby being completed assessment and classification of its social functions in each patient. The software system had been implemented to connected the Internet in the six wards, through three-year continuous improvement, upgrade, and clinical application. The result of classification of computer and clinical experience had a high consistency upon examination, Kappa value=0. 857. Conclusions: The rehabilitation classification software has realized the function of intelligent evaluation, classification, follow-up, quantitative criteria, and reduction of man-made errors. For the classification of the hospitalized chronic psychiatric patients, it provides an important basis for the rehabilitation efficacy assessment.