Development and Application of a Performance Prediction Model for Home Care Nursing Based on a Balanced Scorecard using the Bayesian Belief Network
- Authors
- Noh, Wonjung; Seomun, GyeongAe
- Issue Date
- 6월-2015
- Publisher
- KOREAN SOC NURSING SCIENCE
- Keywords
- Hospital-based home care services; Task performance; Bayesian prediction
- Citation
- JOURNAL OF KOREAN ACADEMY OF NURSING, v.45, no.3, pp.429 - 438
- Indexed
- SCIE
SSCI
SCOPUS
KCI
- Journal Title
- JOURNAL OF KOREAN ACADEMY OF NURSING
- Volume
- 45
- Number
- 3
- Start Page
- 429
- End Page
- 438
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/93355
- DOI
- 10.4040/jkan.2015.45.3.429
- ISSN
- 2005-3673
- 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.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Nursing > Department of Nursing > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.