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While we used the Alkire-Foster method and the same dimensions of the global MPI, the selection of indicators was context specific and depended on availability in the data set.
First, the results reported here are subject to the limitations of variable availability in the data set.
We have used housing tenure as a proxy because of its availability in the data but we recognise that it is a coarse indicator.
These variables were chosen due to a) their importance in the literature on education, health, and social policy, b) their availability in the data set, and c) their measurement characteristics [ 27, 28].
For each of the 2,787 CHF hospitalizations from January 1st 2003 to June 30th 2013, a number of potential explanatory variables were obtained based on their use in the prior literature in the field [ 24, 33] and their availability in the data warehouse.
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Days were counted from the day of data availability in the reference data to the day after a Poisson CUSUM signal occurred in the syndromic surveillance data sources.
Due to comprehensive data availability in the Austrian data sets (EMD-AT and EP-AT), we were able to exclude the spring and summer period of 2009, during which the 2009 influenza pandemic started, from the baseline period of these data sets.
Although selected based upon their availability in the Netherlands, their wide availability makes the data presented in this study generally relevant to most countries.
The retrospective nature of our analysis led to incomplete data availability and heterogeneity in the data set.
The factors included in this study are based on findings from other studies in published literature and availability in the 2008 DHS data set.
To define the set of quality indicators we relied on the indicators currently used in the Quality and Outcomes Framework (QOF) and the availability of the data in the research database (table 5) [ 19, 20].
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