2013
DOI: 10.1016/j.joms.2013.05.026
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The Cause of Cost in the Management of Odontogenic Infections 1: A Demographic Survey and Multivariate Analysis

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Cited by 25 publications
(19 citation statements)
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“…The demographic survey of this study showed a predominantly male cohort with an average age of 39.5 years. This is consistent with previous studies which have also shown a male predilection, and an age distribution skewed towards younger adults . The total cost of care, adjusted for inflation, amounted in excess of $5.5 million over the 7‐year study period, with the average cost per patient above $12 000.…”
Section: Discussionsupporting
confidence: 90%
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“…The demographic survey of this study showed a predominantly male cohort with an average age of 39.5 years. This is consistent with previous studies which have also shown a male predilection, and an age distribution skewed towards younger adults . The total cost of care, adjusted for inflation, amounted in excess of $5.5 million over the 7‐year study period, with the average cost per patient above $12 000.…”
Section: Discussionsupporting
confidence: 90%
“…To date, there is little published literature quantifying the financial burden of severe odontogenic infections within the Australian population. However, similar studies have been reported in the North American literature, demonstrating an increase in cost associated with the treatment of odontogenic infections requiring hospital admission …”
Section: Introductionsupporting
confidence: 67%
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“…Furthermore, only 3 other studies were found in the literature that specifically cross-checked patient records to determine appropriate inclusion (ie, etiology of odontogenic infections as the primary diagnosis code) other than using ICD-9 codes alone. 10,14,15 The overinclusion of data without reviewing patient records for applicability of diagnosis codes can be inaccurate, because the present final data included only 27% of the initial data collected from the codes used. The stringent data collection used in the present study ensures appropriate inclusion criteria (ie, odontogenic etiology) and vastly improves the accuracy of the data.…”
Section: Discussionmentioning
confidence: 98%