2009
DOI: 10.1186/1472-6963-9-60
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Is there much variation in variation? Revisiting statistics of small area variation in health services research

Abstract: Background: The importance of Small Area Variation Analysis for policy-making contrasts with the scarcity of work on the validity of the statistics used in these studies. Our study aims at 1) determining whether variation in utilization rates between health areas is higher than would be expected by chance, 2) estimating the statistical power of the variation statistics; and 3) evaluating the ability of different statistics to compare the variability among different procedures regardless of their rates.

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Cited by 68 publications
(70 citation statements)
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“…This novel measure of variation is more robust than some conventional crude measures of variation such as the extremal quotient or CV. 21,188 We adjusted for a wide range of variables likely to be associated with clinical need, including the demographic composition of PCTs and the prevalence of chronic disease and markers of unhealthy lifestyles. The remaining, unexplained, geographical variation in procedure rates is therefore unlikely to be solely due to random fluctuations on practice or variation in clinical need.…”
Section: Strengths and Limitations Of The Projectmentioning
confidence: 99%
“…This novel measure of variation is more robust than some conventional crude measures of variation such as the extremal quotient or CV. 21,188 We adjusted for a wide range of variables likely to be associated with clinical need, including the demographic composition of PCTs and the prevalence of chronic disease and markers of unhealthy lifestyles. The remaining, unexplained, geographical variation in procedure rates is therefore unlikely to be solely due to random fluctuations on practice or variation in clinical need.…”
Section: Strengths and Limitations Of The Projectmentioning
confidence: 99%
“…En segundo lugar se describió, también por hospitales, el volumen de partos de bajo riesgo conforme a las especificaciones del indicador, sus características en cuanto a edad de la madre, edad gestacional, peso del RN y el porcentaje de cesáreas realizado sobre estos partos. A continuación se analizó la variabilidad entre hospitales para el indicador crudo y el indicador de bajo riesgo usando los estadísticos clásicos del análisis de variaciones en la práctica médica 17 : la razón de variación (RV; razón entre los hospitales con el porcentaje máximo y mínimo de cesá-rea), el coeficiente de variación (CV), el CV ponderado (CVw) por el número de partos en cada hospital, el componente sistemático de la variación (CSV) y Ji al cuadrado (χ 2 ). Estos estadísticos se calcularon para todos los hospitales excluyendo los que tenían porcentajes de cesárea por fuera de los percentiles [P] P5 y P95 o P25 y P75 (RV5-95, RV25-75, CV5-95, CVW5-95 y CSV5-95).…”
Section: Materials Y Métodosunclassified
“…i dag ikke en omforent metode for å vurdere når variasjonen i rater er så stor at man kan fastslå at det er systematisk, det vil si reell variasjon (Ibáñez et al, 2009 …”
Section: Tolkning Av Resultateneunclassified