Modelos explicativos y predictivos de la carga asistencial médica: aplicación para el cálculo del cupo máximo en medicina de familia que permita un mínimo de diez inutos por consulta

Estimar el cupo máximo en medicina familiar que permita consultas mínimas de 10 min Transversal Tres centros de salud Un total de 45.826 habitantes A partir de las citas de tres centros estimamos el tiempo anual empleado por paciente y lo ajustamos asignando un tiempo mínimo de 10 min por consulta....

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Published inAtención primaria Vol. 32; no. 1; pp. 23 - 29
Main Authors Brugos Larumbe, A., Guillén Grima, F., Mallor Giménez, F., Fernández Martínezde Alegría, C.
Format Journal Article
LanguageSpanish
English
Published Elsevier Espana 2003
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Abstract Estimar el cupo máximo en medicina familiar que permita consultas mínimas de 10 min Transversal Tres centros de salud Un total de 45.826 habitantes A partir de las citas de tres centros estimamos el tiempo anual empleado por paciente y lo ajustamos asignando un tiempo mínimo de 10 min por consulta. Establecemos un modelo de regresión cúbica predictor de la carga de trabajo asistencial media por edad en medicina general y estimamos el cupo máximo si se dedica un 70% de la jornada laboral a la asistencia. Exponemos los resultados para dos centros con mayor implicación de enfermería en la atención de los pacientes, y otro en que ésta es menor. Presentamos los coeficientes R2. Estimamos los cupos máximos para los centros de salud de Navarra y los mostramos en cinco grupos elaborados a partir del porcentaje de población de 65 años o más La edad explica el 86,1% de la variabilidad en la carga asistencial media en cada edad (un 84% en ninos y un 93,5% en adultos). Segun el porcentaje promedio de sujetos > 65 anos de edad los cupos maximos promedios para centros con mayor o menor implicacion de enfermeria son los siguientes: 7% (2.025 y 1.989); 14% (1.834 y 1.715); 21,2% (1.691 y 1.558); 27% (1.648 y 1.460); 34% (1.560 y 1.340) La edad explica en gran medida la variabilidad de la carga asistencial y permite estimar el cupo maximo de pacientes que asegure un tiempo minimo por consulta To calculate the maximum family medicine list that gives at least ten minutes per consultation Transversal Three health centres 45 826 inhabitants We used the appointments made at three centres to calculate the annual time employed per patient and we adjusted it to allocate a minimum of ten minutes per consultation.We established a cubic regression model to predict the mean case-load per age of patient in general medicine and calculated the maximum list if 70% of the working day were dedicated to care. The results contrasted two centres with greater nursing involvement and one with less.We showed the R2 coefficients.We calculated the maximum lists for the health centres of Navarra and showed them in five clusters worked out on the basis of the percentage of patients >65 Age explained 86.1% of variability in mean case-load at each age (84% in children and 93.5% in adults). According to the mean percentage of those >65 years old, the average maximum lists for centres with more or less nursing involvement are as follows: 7.0%>65 (2025 and 1989); 14.0% (1834 and 1715); 21.2% (1691 and 1558); 27.0% (1648 and 1460), 34.0% (1560 and 1340) To a great extent, age explains the variability in case-load and lets us calculate the maximum number of patients on the list that still ensures a minimum time for each consultation
AbstractList Estimar el cupo máximo en medicina familiar que permita consultas mínimas de 10 min Transversal Tres centros de salud Un total de 45.826 habitantes A partir de las citas de tres centros estimamos el tiempo anual empleado por paciente y lo ajustamos asignando un tiempo mínimo de 10 min por consulta. Establecemos un modelo de regresión cúbica predictor de la carga de trabajo asistencial media por edad en medicina general y estimamos el cupo máximo si se dedica un 70% de la jornada laboral a la asistencia. Exponemos los resultados para dos centros con mayor implicación de enfermería en la atención de los pacientes, y otro en que ésta es menor. Presentamos los coeficientes R2. Estimamos los cupos máximos para los centros de salud de Navarra y los mostramos en cinco grupos elaborados a partir del porcentaje de población de 65 años o más La edad explica el 86,1% de la variabilidad en la carga asistencial media en cada edad (un 84% en ninos y un 93,5% en adultos). Segun el porcentaje promedio de sujetos > 65 anos de edad los cupos maximos promedios para centros con mayor o menor implicacion de enfermeria son los siguientes: 7% (2.025 y 1.989); 14% (1.834 y 1.715); 21,2% (1.691 y 1.558); 27% (1.648 y 1.460); 34% (1.560 y 1.340) La edad explica en gran medida la variabilidad de la carga asistencial y permite estimar el cupo maximo de pacientes que asegure un tiempo minimo por consulta To calculate the maximum family medicine list that gives at least ten minutes per consultation Transversal Three health centres 45 826 inhabitants We used the appointments made at three centres to calculate the annual time employed per patient and we adjusted it to allocate a minimum of ten minutes per consultation.We established a cubic regression model to predict the mean case-load per age of patient in general medicine and calculated the maximum list if 70% of the working day were dedicated to care. The results contrasted two centres with greater nursing involvement and one with less.We showed the R2 coefficients.We calculated the maximum lists for the health centres of Navarra and showed them in five clusters worked out on the basis of the percentage of patients >65 Age explained 86.1% of variability in mean case-load at each age (84% in children and 93.5% in adults). According to the mean percentage of those >65 years old, the average maximum lists for centres with more or less nursing involvement are as follows: 7.0%>65 (2025 and 1989); 14.0% (1834 and 1715); 21.2% (1691 and 1558); 27.0% (1648 and 1460), 34.0% (1560 and 1340) To a great extent, age explains the variability in case-load and lets us calculate the maximum number of patients on the list that still ensures a minimum time for each consultation
Author Guillén Grima, F.
Mallor Giménez, F.
Brugos Larumbe, A.
Fernández Martínezde Alegría, C.
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Family medicine
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Maximum lists
Cupos máximos
Estimación
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Snippet Estimar el cupo máximo en medicina familiar que permita consultas mínimas de 10 min Transversal Tres centros de salud Un total de 45.826 habitantes A partir de...
SourceID pubmedcentral
crossref
elsevier
SourceType Open Access Repository
Aggregation Database
Publisher
StartPage 23
SubjectTerms Calculation
Cupos máximos
Estimación
Family medicine
Maximum lists
Medicina de familia
Originales
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Title Modelos explicativos y predictivos de la carga asistencial médica: aplicación para el cálculo del cupo máximo en medicina de familia que permita un mínimo de diez inutos por consulta
URI https://dx.doi.org/10.1016/S0212-6567(03)78853-2
https://pubmed.ncbi.nlm.nih.gov/PMC7668788
Volume 32
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