Joint spatial modeling to identify shared patterns among chronic related potentially preventable hospitalizations
Joint spatial modeling to identify shared patterns among chronic related potentially preventable hospitalizations.
Berta Ibañez-Beroiz, Julián Librero, Enrique Bernal-Delgado, Sandra García-Armesto, Silvia Villanueva-Ferragud, Salvador Peiró
BMC Medical Research Methodology (Impact Factor: 2.21). 06/2014; 14(1):74. DOI:10.1186/1471-2288-14-74
Rates of Potentially Preventable Hospitalizations (PPH) are used to evaluate access of territorially delimited populations to high quality ambulatory care. A common geographic pattern of several PPH would reflect the performance of healthcare providers. This study is aimed at modeling jointly the geographical variation in six chronic PPH conditions in one Spanish Autonomous Community for describing common and discrepant patterns, and to assess the relative weight of the common pattern on each condition.
Rates of Potentially Preventable Hospitalizations (PPH) are used to evaluate access of territorially delimited populations to high quality ambulatory care. A common geographic pattern of several PPH would reflect the performance of healthcare providers. This study is aimed at modeling jointly the geographical variation in six chronic PPH conditions in one Spanish Autonomous Community for describing common and discrepant patterns, and to assess the relative weight of the common pattern on each condition.