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Lee, Cho, and Jang: Predictors of Nursing Service Need for Nursing Homes Residents
Original Article
Journal of Korean Academy of Nursing

Journal of Korean Academy of Nursing 2009; 39(1): 95-106.

Published online: 28 February 2009

DOI: https://doi.org/10.4040/jkan.2009.39.1.95

Predictors of Nursing Service Need for Nursing Homes Residents

Tae Wha Lee1, Soon Yung Cho2, Yoon Kyung Jang3

1Professor, College of Nursing, Yonsei University, Seoul, Korea.

2Full-Time Lecturer, Armed Forces Nursing Academy, Daejeon, Korea.

3Doctoral Student, College of Nursing, Yonsei University, Seoul, Korea.

Address reprint requests to: Lee, Tae Wha. College of Nursing, Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul 120-752, Korea. Tel: 82-2-2228-3305, Fax: 82-2-392-5440, twlee5@yuhs.ac

Received 3 September 2008       Accepted 20 January 2009

Copyright © 2009 Korean Society of Nursing Science

Abstract

Purpose

The purposes of this study were to explore the functional status of elderly residents and to analyze time use, and finally identify factors to predict nursing care needs in relation to functional status and health related variables. Methods: In this study a descriptive-correlational design was used. Functional status of participants was obtained through interviews, and nursing care time was examined using a 1 min time-motion study with a standardized instrument developed by Korea Long-Term Care Planning Committee (2005).

Methods

In this study a descriptive-correlational design was used. Functional status of participants was obtained through interviews, and nursing care time was examined using a 1 min time-motion study with a standardized instrument developed by Korea Long-Term Care Planning Committee (2005).

Results

The mean total functional score was 65 (range 28-125) and mean total nursing care time was 144.15 min per day. There were significant positive relationships between total nursing care time, marital status, back pain, dementia, and vision impairment. Multiple regression analyses showed that a liner combination of number of illnesses, types of primary disease, ADL, IADL, cognitive function, nursing demand, and rehabilitation demand explained 42.8% of variance of total nursing time. ADL (β=-.533) was the most significant predictor of nursing service need.

Conclusion

Identifying factors that result in variations of service need has implications for adequate nursing service, estimation of optimum nurse to patient ratio, quality of care and patient safety.

Keywords: Elderly, Functional status, Nursing service need, Nursing care time

Figures and Tables

Table 1
Composition of Study Sample
jkan-39-95-i001
Table 2
Demographics and Health Status of Participants (N=681)
jkan-39-95-i002

*Multiple responses.

Table 3
Functional Status of Participants (N=681)
jkan-39-95-i003
Table 4
Distribution of Nursing Time over 24 hour per resident (N=681)
jkan-39-95-i004
Table 5
Nursing Care Time according to Demographic and Health Status (N=681)
jkan-39-95-i005

*Post hoc=Scheffé; †Missing data were excluded.

Table 6
Correlation among Major Variables (N=681)
jkan-39-95-i006

NoI=number of lllnesses; ADL=activities of daily living; IADL=lnstrumental activities of daily living; ND=nursing demand; CF=cognitive function; PB=problematic behavior; RD=rehabilitation demand; TFS=total functional score; TNT=total nursing time.

Table 7
Multiple Regression for Nursing Service Need (Enter-Method) (N=681)
jkan-39-95-i007

Notes

This study was supported by 2005 Yonsei University Research Grants.

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