腰痛自我诊断问卷的编写及腰痛自我诊断APP程序的初步设计

发布时间：2018-05-15 03:17

本文选题：腰痛 + 自我诊断　；参考：《成都体育学院》2017年硕士论文

【摘要】：目的:完成腰痛自我诊断问卷的编写和腰痛自我诊断APP程序的初步设计以配合专业软件开发人员开发一款腰痛自我诊断APP。患者通过该APP能够得出自身腰痛的诊断从而指导运动疗法。方法:(1)通过文献资料法、专家访谈法对腰痛的诊断进行分类选取能够进行自我诊断的腰痛病名,按照各类腰痛的诊断标准,对其病史、症状、体征及相关的理学检查进行分析整合编写出腰痛自我诊断问卷。(2)通过两轮“德尔菲法”对初步编写完成的腰痛自我诊断文问卷进行研究,第一轮通过采纳16位专家的建议对问卷进行修改完善,第二轮通过统计分析专家的评价结果,对问卷做出综合评估。(3)通过临床试用实验,对腰痛自我诊断问卷的诊断效果进行评估,并根据实验中发现的问题及测试者提出的建议对问卷再次予以完善。(4)通过编写完成的问卷进行腰痛自我诊断APP程序设计。结果:(1)编写完成的腰痛自我诊断问卷,包括:红色预警问卷;黄色预警问卷;常见腰痛自我诊断问卷。(2)通过第一轮“德尔菲法”专家函询工作,完成腰痛自我诊断问卷的修改完善。通过第二轮“德尔菲法”专家函询工作,得出问卷的所有指标除黄色预警问卷整体编写得分稍低,其余指标的得分均数均大于4,变异系数在0.083~0.235间,专家意见协调系数为0.75,经检验P0.05具有统计学意义。表明完善后的“腰痛自我诊断问卷”其整体及各指标,专家一致性认可程度较高。(3)对临床试用实验得出的结果进行统计分析,表明腰痛自我诊断问卷的诊断得出率较高,诊断有效性较好。且对问卷进行了进一步的完善。(4)完成了腰痛自我诊断APP的程序设计,主要包括需求分析、系统概要设计以及系统设计实现构想。结论:(1)腰痛自我诊断问卷具有较高的专家认可性;诊断得出率较高;诊断有效较好,可用于导致腰痛的严重性疾病的排查,腰痛患者社会心理因素的评估,常见类型腰痛的诊断。问卷的编写以及实验的验证为后期的腰痛自我诊断APP程序设计奠定了基础。(2)腰痛自我诊断APP程序的设计可以配合与提示专业软件开发人员完成腰痛自我诊断APP的开发。
[Abstract]:Objective: to complete the preparation of self diagnosis questionnaire for low back pain and the preliminary design of APP program for self diagnosis of low back pain in order to cooperate with professional software developers to develop a self diagnosed APP. patient with low back pain and to guide the diagnosis of low back pain by this APP. Methods: (1) the diagnosis of low back pain through the method of literature and expert interview. According to the diagnostic criteria of all kinds of low back pain, the history, symptoms, signs and related physical examinations were analyzed and integrated to compile a self diagnosis questionnaire for low back pain. (2) the first study on self diagnosis of low back pain was carried out by two rounds of Delphi method. The round through the adoption of 16 experts to improve the questionnaire, the second round through the results of statistical analysis experts to make a comprehensive assessment of the questionnaire. (3) through clinical trial, the evaluation of the diagnosis of low back pain self diagnosis questionnaire, and according to the problems found in the experiment and the suggestions made by the tester to the questionnaire again (4) the self diagnosis APP program of low back pain was designed by writing the completed questionnaire. Results: (1) compiling the completed self diagnosis questionnaire for low back pain, including the red warning questionnaire, yellow early-warning questionnaire, and the common low back pain self diagnosis questionnaire. (2) complete the self diagnosis questionnaire of low back pain through the first round of "Delphi" expert inquiry. Through the second rounds of "Delphi" expert inquiry, all the indexes of the questionnaire are slightly lower than the Yellow early-warning questionnaire, the scores of the other indexes are more than 4, the coefficient of variation is between 0.083~0.235, the expert opinion coordination coefficient is 0.75, and the test P0.05 has statistical significance. The overall and each index of the pain self diagnosis questionnaire was higher. (3) the results of the clinical trial experiment were statistically analyzed, which showed that the diagnosis rate of the self diagnosis questionnaire for low back pain was higher and the diagnostic validity was better. (4) the procedure of self diagnosis of low back pain was completed. (3) the procedure of self diagnosis of low back pain was completed. Design, mainly including demand analysis, system outline design and system design realization. Conclusions: (1) low back pain self diagnosis questionnaire has high expert recognition, high diagnosis rate, good diagnosis, can be used in the diagnosis of low back pain, the assessment of psychosocial factors of low back pain, and common type of low back pain. Diagnosis. The compilation of the questionnaire and the experimental verification laid the foundation for the late self-diagnosis APP program design of low back pain. (2) the design of the self-diagnosis APP program for low back pain can cooperate with and prompt professional software developers to complete the development of self-diagnosis APP for low back pain.

【学位授予单位】：成都体育学院
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.56;R681.5

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