JAMDA
Volume 10, Issue 3 , Pages 189-195, March 2009

Development and Testing of a Staff Questionnaire for Evaluating the Quality of Services at Nursing Homes in Japan

  • Koji Abe, PhD

      Affiliations

    • Department of Gerontological Policy, National Institute of Longevity Sciences, NCGG, Aichi, Japan
    • Corresponding Author InformationAddress correspondence to Koji Abe, PhD, Department of Gerontological Policy, National Institute of Longevity Sciences, NCGG. 36–3 Gengo, Morioka-cho, Obu-shi, Aichi, 474–8522, JAPAN
    • ,
  • Akira Ohashi, PhD

      Affiliations

    • Faculty of Human Welfare, Chubu Gakuin University, Gifi, Japan

published online 09 January 2009.

Objectives

The 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.

Design

A mailed survey based on a self-administered questionnaire.

Setting

Gifu Prefecture in central Japan.

Participants

We recruited 124 health care workers from 15 nursing homes located in the Gifu Prefecture.

Measurements

Demographic 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.

Results

Factor 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.

Conclusions

The 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.

Keywords: Nursing home, quality assessment, scale development, EM algorithm

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 The Ministry of Education, Culture, Sports, Science and Technology funded the study. They played no role in the design, execution, analysis and interpretation of data or writing of the study. The authors have no conflicts of interest to declare.

PII: S1525-8610(08)00390-3

doi:10.1016/j.jamda.2008.10.004

JAMDA
Volume 10, Issue 3 , Pages 189-195, March 2009

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