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長期照護品質指標之穩定性探討---以健康功能為例The Stability of Health Status in Long-Term Care---A Longitudinal Study

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行政院國家科學委員會專題研究計畫 成果報告

長期照護品質指標之穩定性探討:以健康功能為例

計畫類別: 個別型計畫 計畫編號: NSC91-2416-H-110-021-SSS 執行期間: 91 年 08 月 01 日至 93 年 01 月 31 日 執行單位: 國立中山大學人力資源管理研究所 計畫主持人: 葉淑娟 報告類型: 精簡報告 處理方式: 本計畫可公開查詢

中 華 民 國 93 年 3 月 18 日

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長期照護品質指標之穩定性探討:以健康功能為例

(NSC91-2416-H-110-021-SSS)

Because of chronic illness and conditions, an estimated 5.6% of Taiwan elderly

population need some kind of long-term care, and about one-third of these require

supportive assistance from another person to function in their daily lives. Therefore,

quality has become a salient issue in long-term care, particularly for long-term care

providers. In long-term care, however, the emphasis has been shifted on outcome

measures. Taiwan Joint Commission on Hospital Accreditation and Taiwan

Association of Long-Term Care Professionals have advocated use of multiple

outcome measures as key indicators suggesting the presence of good or bad care.

The aim of this research is to validate the measurement model of health status

and to examine the stability of the health status over time. The research questions are:

1) What are the health status of residents in long-term care facilities at three different

time points? 2) Can the measurement model be confirmed over the three-wave panel?

3) What is the relationship between individual characteristics and health status? 4)

After controlling for the effects of residents’characteristics, does stability of health

status exist over time? 5) Can the explanatory variables be predicting health status?

Using functional status as the indicator for health status, we found that the longer

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The measurement model was confirmed by the three different time (chi-square >0.05).

However, since the cases of nursing home residents dropped over time, it is uncertain

to conclude the stability of this model. Based on this study’s results, some of

residents’ characteristics can predict health status, including severity of illness,

transferring, re-hospitalization. Age was not a significant indicator in predicting

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