2013
DOI: 10.1111/1475-6773.12074
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Global Comparators Project: International Comparison of Hospital Outcomes Using Administrative Data

Abstract: Intercountry differences in outcomes may result from differences in the quality of care or in practice patterns driven by socio-economic factors. Carefully managed administrative data can be an effective resource for initiating dialog between hospitals within and across countries. Inclusion of important outcomes beyond hospital discharge would increase the value of these analyses.

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Cited by 66 publications
(70 citation statements)
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“…In this issue, Ruiz et al 7 document such an effect across four countries (Australia, England, Netherlands, and the USA) that contribute to the Global Comparators Project8 where electronic summary data are combined across borders. Twenty-eight metropolitan city hospitals contributed data from nearly 3 million admissions.…”
mentioning
confidence: 99%
“…In this issue, Ruiz et al 7 document such an effect across four countries (Australia, England, Netherlands, and the USA) that contribute to the Global Comparators Project8 where electronic summary data are combined across borders. Twenty-eight metropolitan city hospitals contributed data from nearly 3 million admissions.…”
mentioning
confidence: 99%
“…Multiple events in the same patient were calculated in three ways: (i) one or more of any of the adverse events, (ii) number of multiple events, and (iii) a multiple ''modifiable'' events flag was calculated using all outcomes but excluding mortality (as it is a finite endpoint) to assess whether multiple adverse events were associated with mortality. Colorectal laparoscopic and open resection procedures were defined using ICD9-CM coding definitions previously published, 17 which included resection for colon neoplasm, rectal neoplasm, inflammatory bowel disease, diverticular disease, and noncolorectal cancer. Subgroups were rectal or colonic resection.…”
Section: Discussionmentioning
confidence: 99%
“…Propensity score matching was then performed using the R-package MatchIt (version 2. [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Nearestneighbour 2:1 matching was employed.…”
Section: Methodsmentioning
confidence: 99%
“…The data fields include demographic data and multiple fields for the recording of diagnoses and procedures. The database has been previously described [14] and has been developed by Dr Foster Intelligence (DFI), in London, United Kingdom (UK).…”
Section: Data Sourcesmentioning
confidence: 99%