Development and testing of a staff questionnaire for evaluating the quality of services at nursing homes in Japan

Development and testing of a staff questionnaire for evaluating the quality of services at nursing homes in Japan
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开发和测试用于评估日本疗养院服务质量的员工调查问卷

DOI:
10.1016/j.jamda.2008.10.004
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发表时间:
2009
影响因子:
7.6
通讯作者:
Ohashi A
Ohashi A
中科院分区:
医学1区
文献类型:
--
作者:
Abe K;Ohashi A

文献摘要

相似文献

本研究的目的是开发一个自我评估工具,用于评估日本养老院提供的服务质量,并测试缺失数据分析的插补方法的有效性。研究对象:我们从位于日本中部的岐阜县的15家疗养院招募了124名医护人员,MEASUMENTSDemographic数据,在疗养院提供的服务质量的自我评估,Maslach倦怠量表-一般调查,一般健康问卷,护理设施的自我评分,和工作满意度。最大-似然估计在完整的观察数据和通过使用期望最大化(EM)算法插补值获得的数据中提取因子。因子得分显着相关的倦怠,自我评价得分的护理设施,和工作satisfaction.CONCLUSIONSThe简单的自我评估工具,在这项研究中开发的评估在养老院提供的服务质量具有较高的内部信度和标准相关效度。使用EM算法的插补方法可能有助于分析长期护理和管理方面的缺失数据。
OBJECTIVESThe purpose of this study was to develop a self-assessment tool for evaluating the quality of services provided in nursing homes in Japan and to test the validity of the imputation method for the analysis of missing data.DESIGNA mailed survey based on a self-administered questionnaire.SETTINGGifu Prefecture in central Japan.PARTICIPANTSWe recruited 124 health care workers from 15 nursing homes located in the Gifu Prefecture.MEASUREMENTSDemographic data, self-assessment of the quality of services provided in nursing homes, Maslach Burnout Inventory—General Survey, General Health Questionnaire, self-rated score of the nursing facility, and job satisfaction.RESULTSFactor analysis with maximum-likelihood estimation extracted a factor in both the complete observed data and the data obtained by imputing values using the expectation-maximization (EM) algorithm. The factor score was significantly associated with burnout, self-rated score of the nursing facility, and job satisfaction.CONCLUSIONSThe simple self-assessment tool that was developed in this study for evaluating the quality of services provided in nursing homes has high internal reliability and criterion-related validity. The imputation method using the EM algorithm might be useful for the analysis of missing data with regard to long-term care and management.