Abstract
Purpose: This study was conducted to develop key performance indicators (KPIs) for home care nursing (HCN) based on a balanced scorecard, and to construct a performance prediction model of strategic objectives using the Bayesian Belief Network (BBN). Methods: This methodological study included four steps: establishment of KPIs, performance prediction modeling, development of a performance prediction model using BBN, and simulation of a suggested nursing management strategy. An HCN expert group and a staff group participated. The content validity index was analyzed using STATA 13.0, and BBN was analyzed using HUGIN 8.0. Results: We generated a list of KPIs composed of 4 perspectives, 10 strategic objectives, and 31 KPIs. In the validity test of the performance prediction model, the factor with the greatest variance for increasing profit was maximum cost reduction of HCN services. The factor with the smallest variance for increasing profit was a minimum image improvement for HCN. During sensitivity analysis, the probability of the expert group did not affect the sensitivity. Furthermore, simulation of a 10% image improvement predicted the most effective way to increase profit. Conclusion: KPIs of HCN can estimate financial and non-financial performance. The performance prediction model for HCN will be useful to improve performance.
| Original language | English |
|---|---|
| Pages (from-to) | 429-438 |
| Number of pages | 10 |
| Journal | Journal of Korean Academy of Nursing |
| Volume | 45 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2015 Jun 1 |
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Keywords
- Bayesian prediction
- Hospital-based home care services
- Task performance
ASJC Scopus subject areas
- Nursing(all)
Cite this
Development and application of a performance prediction model for home care nursing based on a balanced scorecard using the bayesian belief network. / Noh, Wonjung; Seomun, GyeongAe.
In: Journal of Korean Academy of Nursing, Vol. 45, No. 3, 01.06.2015, p. 429-438.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Development and application of a performance prediction model for home care nursing based on a balanced scorecard using the bayesian belief network
AU - Noh, Wonjung
AU - Seomun, GyeongAe
PY - 2015/6/1
Y1 - 2015/6/1
N2 - Purpose: This study was conducted to develop key performance indicators (KPIs) for home care nursing (HCN) based on a balanced scorecard, and to construct a performance prediction model of strategic objectives using the Bayesian Belief Network (BBN). Methods: This methodological study included four steps: establishment of KPIs, performance prediction modeling, development of a performance prediction model using BBN, and simulation of a suggested nursing management strategy. An HCN expert group and a staff group participated. The content validity index was analyzed using STATA 13.0, and BBN was analyzed using HUGIN 8.0. Results: We generated a list of KPIs composed of 4 perspectives, 10 strategic objectives, and 31 KPIs. In the validity test of the performance prediction model, the factor with the greatest variance for increasing profit was maximum cost reduction of HCN services. The factor with the smallest variance for increasing profit was a minimum image improvement for HCN. During sensitivity analysis, the probability of the expert group did not affect the sensitivity. Furthermore, simulation of a 10% image improvement predicted the most effective way to increase profit. Conclusion: KPIs of HCN can estimate financial and non-financial performance. The performance prediction model for HCN will be useful to improve performance.
AB - Purpose: This study was conducted to develop key performance indicators (KPIs) for home care nursing (HCN) based on a balanced scorecard, and to construct a performance prediction model of strategic objectives using the Bayesian Belief Network (BBN). Methods: This methodological study included four steps: establishment of KPIs, performance prediction modeling, development of a performance prediction model using BBN, and simulation of a suggested nursing management strategy. An HCN expert group and a staff group participated. The content validity index was analyzed using STATA 13.0, and BBN was analyzed using HUGIN 8.0. Results: We generated a list of KPIs composed of 4 perspectives, 10 strategic objectives, and 31 KPIs. In the validity test of the performance prediction model, the factor with the greatest variance for increasing profit was maximum cost reduction of HCN services. The factor with the smallest variance for increasing profit was a minimum image improvement for HCN. During sensitivity analysis, the probability of the expert group did not affect the sensitivity. Furthermore, simulation of a 10% image improvement predicted the most effective way to increase profit. Conclusion: KPIs of HCN can estimate financial and non-financial performance. The performance prediction model for HCN will be useful to improve performance.
KW - Bayesian prediction
KW - Hospital-based home care services
KW - Task performance
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UR - http://www.scopus.com/inward/citedby.url?scp=84936988797&partnerID=8YFLogxK
U2 - 10.4040/jkan.2015.45.3.429
DO - 10.4040/jkan.2015.45.3.429
M3 - Article
C2 - 26159144
AN - SCOPUS:84936988797
VL - 45
SP - 429
EP - 438
JO - Asian Nursing Research
JF - Asian Nursing Research
SN - 2005-3673
IS - 3
ER -