Suppr超能文献

简易成人呼吸系统健康状况量表-社区版(BARSHSS-CV):信效度的开发与评估

Brief adult respiratory system health status scale-community version (BARSHSS-CV): developing and evaluating the reliability and validity.

作者信息

Dou Hongzhe, Zhao Yuejia, Chen Yanhong, Zhao Qingchun, Xiao Bo, Wang Yan, Zhang Yonghe, Chen Zhiguo, Guo Jie, Tao Lingwei

机构信息

Affiliated Hospital of Hebei University, No.212 Yuhua East Road, Baoding, 071000, China.

The NO.5 Hospital of Baoding, No.340 Ruixiang Street, Baoding, 071000, China.

出版信息

BMC Health Serv Res. 2018 Sep 3;18(1):683. doi: 10.1186/s12913-018-3505-z.

Abstract

BACKGROUND

The evaluation of respiratory system health status in hospitalized patients is usually based on many laboratory examinations and imaging examinations. Medical examinations require a lot of manpower, material resources, financial resources, and may cause a certain degree of mechanical damage and radiation damage. It is not easily used widely and economically to assess the respiratory health status of community adults. Therefore, researchers developed a brief adult respiratory system health status scale-community version (BARSHSS-CV) and tested its reliability and validity.

METHODS

Using clinical characteristics and pathogenic factors of respiratory system diseases as a theoretical basis and through reference to relevant literature, researchers developed an initial scale. A randomized cluster sampling strategy was used to recruit adults in the communities of Baoding City, Shijiazhuang City, Cangzhou city and Chifeng City in China. Researchers randomly selected 1 district from each city. Subsequently, 4 communities were respectively randomly selected from 4 districts. Then, researchers conducted the questionnaire survey in 4 communities. Finally, researchers investigated 615 community adults. 584 valid questionnaires were recovered. By applying exploratory factor analysis, confirmatory factor analysis, content validity index, Cronbach's α coefficient, mean inter-item correlation coefficient and test-retest reliability, researchers tested the reliability and validity of scale and created the final BARSHSS-CV.

RESULTS

BARSHSS-CV Cronbach's α=0.951, content validity = 0.933, test-retest reliability = 0.963 and factor cumulative contribution rate = 67.168% by exploratory factor analysis. By confirmatory factor analysis, Chi square value (χ2) was 442.117, degrees of freedom (df) was 161, Chi square value/degrees of freedom (χ2 /df) was 2.746, root-mean-square error of approximation (RMSEA) was 0.065, goodness of fit index (GFI) was 0.902, incremental fit index (IFI) was 0.955, comparative fit index (CFI) was 0.955, normed fit index (NFI) was 0.931, Tueker-Lewis index (TLI) was 0.947. BARSHSS-CV consisted of 20 items and 3 dimensions.

CONCLUSIONS

BARSHSS-CV with good test-retest reliability and content/construct validity is a brief and economical tool for assessing the state of respiratory system amongst adult communities. BARSHSS-CV may help medical staff in community primary medical institutions quickly, conveniently and economically assess the status of respiratory system and the main problems of respiratory system in community adults.

摘要

背景

住院患者呼吸系统健康状况的评估通常基于多项实验室检查和影像学检查。医学检查需要大量的人力、物力、财力,且可能造成一定程度的机械损伤和辐射损伤。在评估社区成年人的呼吸健康状况时,它不易广泛且经济地应用。因此,研究人员开发了一种成人呼吸系统健康状况简易量表——社区版(BARSHSS-CV),并对其信效度进行了测试。

方法

以呼吸系统疾病的临床特征和致病因素为理论基础,通过查阅相关文献,研究人员编制了初始量表。采用随机整群抽样策略,在中国保定市、石家庄市、沧州市和赤峰市的社区招募成年人。研究人员从每个城市随机选取1个区。随后,从4个区中分别随机选取4个社区。然后研究人员在这4个社区进行问卷调查。最后,对615名社区成年人进行调查,回收有效问卷584份。通过应用探索性因子分析、验证性因子分析、内容效度指数、克朗巴哈α系数、平均项目间相关系数和重测信度,研究人员测试了量表的信效度,并编制了最终的BARSHSS-CV。

结果

BARSHSS-CV的克朗巴哈α系数为0.951,内容效度为0.933,重测信度为0.963,探索性因子分析的因子累积贡献率为67.168%。验证性因子分析结果显示,卡方值(χ2)为442.117,自由度(df)为161,卡方值/自由度(χ2/df)为2.746,近似误差均方根(RMSEA)为0.065,拟合优度指数(GFI)为0.902,增值拟合指数(IFI)为0.955,比较拟合指数(CFI)为0.955,规范拟合指数(NFI)为0.931,塔克-刘易斯指数(TLI)为0.947。BARSHSS-CV由20个条目和3个维度组成。

结论

BARSHSS-CV具有良好的重测信度和内容/结构效度,是一种评估社区成年人呼吸系统状况的简便经济工具。BARSHSS-CV可帮助社区基层医疗机构的医务人员快速、便捷且经济地评估社区成年人的呼吸系统状况及呼吸系统主要问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e802/6122650/30dab9e9b3e2/12913_2018_3505_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验