Tae Wha Lee; Soon Yung Cho; Yoon Kyung Jang

doi:10.4040/jkan.2009.39.1.95

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Original Article
Predictors of Nursing Service Need for Nursing Homes Residents: Tae Wha Lee, Soon Yung Cho, Yoon Kyung Jang; Journal of Korean Academy of Nursing 2009;39(1):95-106.
DOI: https://doi.org/10.4040/jkan.2009.39.1.95
Published online: February 28, 2009

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: September 3, 2008 • Accepted: January 20, 2009

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Abstract
NOTES
REFERENCES

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

This study was supported by 2005 Yonsei University Research Grants.

REFERENCES

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Table 1

Composition of Study Sample

Table 2

Demographics and Health Status of Participants (N=681)

^*Multiple responses.

Table 3

Functional Status of Participants (N=681)

Table 4

Distribution of Nursing Time over 24 hour per resident (N=681)

Table 5

Nursing Care Time according to Demographic and Health Status (N=681)

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

Table 6

Correlation among Major Variables (N=681)

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)

Figure & Data

REFERENCES

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Predictors of Nursing Service Need for Nursing Homes Residents

J Korean Acad Nurs. 2009;39(1):95-106. Published online February 28, 2009

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

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Predictors of Nursing Service Need for Nursing Homes Residents

Table 1

Composition of Study Sample

Table 2

Demographics and Health Status of Participants (N=681)

^*Multiple responses.

Table 3

Functional Status of Participants (N=681)

Table 4

Distribution of Nursing Time over 24 hour per resident (N=681)

Table 5

Nursing Care Time according to Demographic and Health Status (N=681)

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

Table 6

Correlation among Major Variables (N=681)

Table 7

Multiple Regression for Nursing Service Need (Enter-Method) (N=681)

Table 1 Composition of Study Sample

Table 2 Demographics and Health Status of Participants (N=681)

^*Multiple responses.

Table 3 Functional Status of Participants (N=681)

Table 4 Distribution of Nursing Time over 24 hour per resident (N=681)

Table 5 Nursing Care Time according to Demographic and Health Status (N=681)