2015
DOI: 10.2217/cer.15.28
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Evaluation of techniques for handling missing cost-to-charge ratios in the USA Nationwide Inpatient Sample: a simulation study

Abstract: Similar mean cost estimates would be obtained with any of the four techniques when the percentage of missing data is low (<10%). When total cost is the outcome of interest, a reweighting technique to avoid underestimation from dropping observations with missing data should be adopted.

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Cited by 5 publications
(2 citation statements)
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“…To estimate costs, we multiplied charges by the hospital-specific cost-to-charge ratios provided by HCUP, which are based on all-payer, inpatient costs. Combining validated techniques, 43 where no hospital-specific ratio was available, the HCUP group average ratio based on hospital category was substituted. When neither was available, the state average was used.…”
Section: Methodsmentioning
confidence: 99%
“…To estimate costs, we multiplied charges by the hospital-specific cost-to-charge ratios provided by HCUP, which are based on all-payer, inpatient costs. Combining validated techniques, 43 where no hospital-specific ratio was available, the HCUP group average ratio based on hospital category was substituted. When neither was available, the state average was used.…”
Section: Methodsmentioning
confidence: 99%
“…11 Missing insurance status for those aged $65 years was imputed to Medicare. Missing cost data were handled using reweighting technique recommended by HCUP 12 and missing hospital variables such as teaching status (0.46%) and number of beds (0.46%) were excluded. Participants with missing race data were excluded in subgroup analysis stratified by race, but all multivariate models contained imputed race data.…”
mentioning
confidence: 99%