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Vol. 12. Núm. 1.
Páginas 9-21 (Enero - Febrero 1998)
Open Access
Análisis automatizado de la calidad del conjunto mínimo de datos básicos. Implicaciones para los sistemas de ajuste de riesgos
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8563
J. Librero, R. Ordiñana, S. Peiró*
Institut Valencià d'Estudis en Salut Pública (IVESP). Institut d'Investigació en Serveis de Salut (IISS), Valencia
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Información del artículo
Resumen
Fundamentos

Junto a la edad del paciente, el diagnóstico principal, los diagnósticos secundarios (comorbilidad y complicaciones) y los procedimientos realizados son las variables críticas para el ajuste de riesgos. De ahí la importancia de su correcta incorporación al CMBD. Sin embargo, diversos trabajos, especialmente en Estados Unidos, pero también en España, han puesto en evidencia importantes problemas de calidad en estos datos, dificultades para su mejora y las limitaciones que ello conlleva para evaluar la calidad o la eficiencia de los hospitales. El objetivo de este trabajo es realizar una aproximación a la calidad de la información administrativa y clínica recogida en el CMBD del Servei Valencià de la Salut (SVS) mediante un proceso automatizado de análisis de los datos del propio CMBD, y discutir tanto sus implicaciones para la gestión, como las posibles estrategias de mejora.

Material y método

Se realizó un análisis automatizado de la calidad del CMBD 1994 del SVS (20 hospitales, 241.341 altas), utilizando indicadores de cumplimentación válida de los valores de los campos, relaciones entre campos del mismo episodio, relaciones entre variables en diferentes episodios y volumen y especificidad de la información clínica.

Resultados

El CMBD analizado contiene escasos errores en las variables administrativas, con excepción de la residencia, pero presenta importantes problemas de volumen y especificidad de la información clínica, así como una alta variabilidad en su cumplimentación y calidad en diferentes hospitales.

Conclusiones

La calidad de los datos clínicos del CMBD pueden suponer sesgos en su utilización con finalidades de gestión o evaluación de la calidad, así como en los estudios epidemiológicos, de evaluación de tecnologías o utilización de servicios.

Palabras clave:
Calidad datos diagnósticos
Bases de datos clínicas
Estadísticas hospitalarias
Summary
Setting

Together with the age of the patient, the main diagnosis, secondary diagnosis (comorbility and complications) and the procedures performed are the critical variables for risk-adjusting. Therefore, its correct incorporation to CMBD is of great importance. However, several studies, especially in the United States, but also in Spain, have made evident the existence of important problems of quality in these data, difficulties for its improvement and the limitations which this has to assess the quality or the efficiency of hospitals. The objective of this study is to approach the quality of administrative and clinical collected in the CMBD of the Valencian Health Service (VHS) using an automatized process of analysis of data from the same CMBD, and discuss the implications for its management, as well as possible improvement strategies.

Material and method

An automatized analysis of the quality of CMBD 1994 of the VHS (20 hospitals, 241,341 admissions) was performed, using indicators of valid fulfilling of field values, relationship between fields of the same episode, relationship between variables in different episodes and volume and specificity of clinical information.

Results

The analysed CMBD contains few errors in management variables, with the exception of residence, but it shows important problems of volume and specificity of clinical information, as well as a high variability in its fulfilling and quality in different hospitals.

Conclusions

The quality of the clinical data of CMBD may be biased in its use with management aims or when assessing quality, as well as in epidemiological studies, evaluation of technology or use of services.

Key words:
Diagnosis data quality
Clinical databases
Hospital statistics
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Copyright © 1998. Sociedad Española de Salud Pública y Administración Sanitaria
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