2003
DOI: 10.1067/mhj.2003.3
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Comparison of analytic approaches for the economic evaluation of new technologies alongside multicenter clinical trials

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Cited by 81 publications
(74 citation statements)
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“…After the exclusion of charges for care received before randomization and charges for the index TAVR procedure itself, all remaining hospital charges were converted to costs by use of costcenter-specific cost-to-charge ratios obtained from each enrolling hospital's Medicare cost report. 11 When bills were unavailable, the costs of hospital care were estimated with a linear regression model derived from the patients with complete billing data (model R 2 ϭ0.84). Covariates included in the model included total intensive care unit (ICU) and non-ICU length of stay, in-hospital death, in-hospital acute renal failure, and major vascular complication.…”
Section: Other Index Hospital Costsmentioning
confidence: 99%
“…After the exclusion of charges for care received before randomization and charges for the index TAVR procedure itself, all remaining hospital charges were converted to costs by use of costcenter-specific cost-to-charge ratios obtained from each enrolling hospital's Medicare cost report. 11 When bills were unavailable, the costs of hospital care were estimated with a linear regression model derived from the patients with complete billing data (model R 2 ϭ0.84). Covariates included in the model included total intensive care unit (ICU) and non-ICU length of stay, in-hospital death, in-hospital acute renal failure, and major vascular complication.…”
Section: Other Index Hospital Costsmentioning
confidence: 99%
“…We defi ned mortality as death during the index hospitalization, readmission as readmission to any acute care hospital within 30 days of discharge aft er the index hospitalization, and costs as the total reported hospital charges (adjusted for infl ation to 2010 dollars) multiplied by the hospital-specifi c all-payer cost-to-charge ratio for the year of hospitalization. 22 We calculated these outcomes among two populations: (1) all patients with PE and (2) the subset of these patients with ICU stays. Adjustment Variables: Adjustment variables included demographic data (age, sex, and payer); admission data (weekday or weekend, emergent or nonemergent, admission source); individual patient comorbidities (as defi ned by Elixhauser et al 24 ); presence of organ failure using ICD-9-CM codes corresponding to circulatory, renal, neurologic, hematologic, metabolic, and hepatic organ failure (as defined by Angus et al 25 ); use of ICU procedures (central line, arterial line, pulmonary artery catheterization, thrombolytics, invasive mechanical ventilation, and noninvasive positive pressure ventilation); hospital size; total hospital-wide patients with PE across the study period; ICU capacity (as a percentage of total beds); teaching status (defi ned by the ratio of resident full-time equivalents [FTEs] to beds); medical school affi liation; designation as a critical access hospital; and hospital type (for profi t, not for profi t, or government).…”
Section: Icu Admission Ratesmentioning
confidence: 99%
“…Hospital charges were converted into costs using hospital-and cost center-specific cost-to-charge ratios. 17,18 Linear regression models were then developed, with total hospitalization costs used as the outcome and sociodemographic factors, comorbidities, and in-hospital complications (identified on the basis of International Classification of Diseases, Ninth Revision codes) as predictors ( Table I in the onlineonly Data Supplement). Because of substantial variability in length of stay for revascularization procedures across the enrolling countries, length of stay was not included as a predictor in these models.…”
Section: Postprocedural Hospitalization Costsmentioning
confidence: 99%