Nueva propuesta de indicadores de gestión de los servicios médico-quirúrgicos mediante técnicas estadísticas multivariantes

Hugo Salinas, José Almenara, Benjamín Naranjo, Álvaro Reyes, Marcia Erazo, Beatriz Retamales

Resultado de la investigación: Article

1 Cita (Scopus)

Resumen

Objective: To obtain indicators useful for hospital management based on descriptive multivariate techniques. Material and method: Data on hospital admissions in 2003 were analyzed in April 2006 in the Hospital Clínico de la Universidad de Chile. The variables monitored by the Operations Management Department in the university hospital were studied: number of discharges, mortality rate, re-admissions rate, number of outpatient consultations, number of hospital stays, length of stay in the intensive care unit, patient age, and surgical complexity index. The variables were considered for a total of 24,345 discharges. The principal components analysis (PCA) technique was applied and the R correlation matrix was used. Results: The first two principal components were selected, accounting accumulatively for 71.3% of the variability: the first component for 49.4% and the second component for 21.9%. Conclusions: The first component may be related to a new index representing the complexity of the patients attended, which we have termed Case Complexity. The second principal component would explain the number of persons attended, which we have termed Case Load. These two indices allow us to classify hospital services.

Idioma originalSpanish
Páginas (desde-hasta)141-146
Número de páginas6
PublicaciónRevista de Calidad Asistencial
Volumen22
N.º3
DOI
EstadoPublished - 1 ene 2007

Huella dactilar

Length of Stay
Chile
Principal Component Analysis
Intensive Care Units
Outpatients
Referral and Consultation
Mortality

ASJC Scopus subject areas

  • Health Policy

Citar esto

Salinas, Hugo ; Almenara, José ; Naranjo, Benjamín ; Reyes, Álvaro ; Erazo, Marcia ; Retamales, Beatriz. / Nueva propuesta de indicadores de gestión de los servicios médico-quirúrgicos mediante técnicas estadísticas multivariantes. En: Revista de Calidad Asistencial. 2007 ; Vol. 22, N.º 3. pp. 141-146.
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title = "Nueva propuesta de indicadores de gesti{\'o}n de los servicios m{\'e}dico-quir{\'u}rgicos mediante t{\'e}cnicas estad{\'i}sticas multivariantes",
abstract = "Objective: To obtain indicators useful for hospital management based on descriptive multivariate techniques. Material and method: Data on hospital admissions in 2003 were analyzed in April 2006 in the Hospital Cl{\'i}nico de la Universidad de Chile. The variables monitored by the Operations Management Department in the university hospital were studied: number of discharges, mortality rate, re-admissions rate, number of outpatient consultations, number of hospital stays, length of stay in the intensive care unit, patient age, and surgical complexity index. The variables were considered for a total of 24,345 discharges. The principal components analysis (PCA) technique was applied and the R correlation matrix was used. Results: The first two principal components were selected, accounting accumulatively for 71.3{\%} of the variability: the first component for 49.4{\%} and the second component for 21.9{\%}. Conclusions: The first component may be related to a new index representing the complexity of the patients attended, which we have termed Case Complexity. The second principal component would explain the number of persons attended, which we have termed Case Load. These two indices allow us to classify hospital services.",
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Nueva propuesta de indicadores de gestión de los servicios médico-quirúrgicos mediante técnicas estadísticas multivariantes. / Salinas, Hugo; Almenara, José; Naranjo, Benjamín; Reyes, Álvaro; Erazo, Marcia; Retamales, Beatriz.

En: Revista de Calidad Asistencial, Vol. 22, N.º 3, 01.01.2007, p. 141-146.

Resultado de la investigación: Article

TY - JOUR

T1 - Nueva propuesta de indicadores de gestión de los servicios médico-quirúrgicos mediante técnicas estadísticas multivariantes

AU - Salinas, Hugo

AU - Almenara, José

AU - Naranjo, Benjamín

AU - Reyes, Álvaro

AU - Erazo, Marcia

AU - Retamales, Beatriz

PY - 2007/1/1

Y1 - 2007/1/1

N2 - Objective: To obtain indicators useful for hospital management based on descriptive multivariate techniques. Material and method: Data on hospital admissions in 2003 were analyzed in April 2006 in the Hospital Clínico de la Universidad de Chile. The variables monitored by the Operations Management Department in the university hospital were studied: number of discharges, mortality rate, re-admissions rate, number of outpatient consultations, number of hospital stays, length of stay in the intensive care unit, patient age, and surgical complexity index. The variables were considered for a total of 24,345 discharges. The principal components analysis (PCA) technique was applied and the R correlation matrix was used. Results: The first two principal components were selected, accounting accumulatively for 71.3% of the variability: the first component for 49.4% and the second component for 21.9%. Conclusions: The first component may be related to a new index representing the complexity of the patients attended, which we have termed Case Complexity. The second principal component would explain the number of persons attended, which we have termed Case Load. These two indices allow us to classify hospital services.

AB - Objective: To obtain indicators useful for hospital management based on descriptive multivariate techniques. Material and method: Data on hospital admissions in 2003 were analyzed in April 2006 in the Hospital Clínico de la Universidad de Chile. The variables monitored by the Operations Management Department in the university hospital were studied: number of discharges, mortality rate, re-admissions rate, number of outpatient consultations, number of hospital stays, length of stay in the intensive care unit, patient age, and surgical complexity index. The variables were considered for a total of 24,345 discharges. The principal components analysis (PCA) technique was applied and the R correlation matrix was used. Results: The first two principal components were selected, accounting accumulatively for 71.3% of the variability: the first component for 49.4% and the second component for 21.9%. Conclusions: The first component may be related to a new index representing the complexity of the patients attended, which we have termed Case Complexity. The second principal component would explain the number of persons attended, which we have termed Case Load. These two indices allow us to classify hospital services.

KW - Clinical epidemiology

KW - Hospital indicators

KW - Management

KW - Principal components analysis

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