Development and Application of a Performance Prediction Model for Home Care Nursing Based on a Balanced Scorecard using the Bayesian Belief Network
Journal of Korean Academy of Nursing
;
: 429-438, 2015.
Artigo
em Coreano
| WPRIM
| ID: wpr-118084
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 foursteps:
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.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Análise e Desempenho de Tarefas
/
Teorema de Bayes
/
Desenvolvimento de Programas
/
Serviços de Assistência Domiciliar
/
Modelos Teóricos
Tipo de estudo:
Estudo prognóstico
Limite:
Humanos
Idioma:
Coreano
Revista:
Journal of Korean Academy of Nursing
Ano de publicação:
2015
Tipo de documento:
Artigo
Similares
MEDLINE
...
LILACS
LIS