Literature DB >> 21050062

Healthcare costs associated with nephrology care in pre-dialysis chronic kidney disease patients.

Francis Vekeman1, Nadege-Desiree Yameogo, Patrick Lefebvre, Robert A Bailey, R Scott McKenzie, Catherine Tak Piech.   

Abstract

OBJECTIVE: To compare the healthcare costs of pre-dialysis chronic kidney disease (CKD) patients cared for in a nephrology clinic setting versus other care settings.
METHODS: An analysis of health claims between 01/2002 and 09/2007 from the Ingenix Impact Database was conducted. Inclusion criteria were ≥ 18 years of age, ≥ 1 ICD-9 claim for CKD, and ≥ 1 estimated glomerular filtration rate (eGFR) value of < 60 mL/min/1.73 m(2). Patients were classified in the nephrology care cohort if they were treated in a nephrology clinic setting at least once during the study period. Univariate and multivariate analyses were conducted to compare average annualized healthcare costs of patients in nephrology care versus other care settings.
RESULTS: Among the 20,135 patients identified for analysis, 1,547 patients were cared for in a nephrology clinic setting. Nephrology care was associated with lower healthcare costs with an unadjusted cost savings of $3,049 ($11,303 vs. $14,352, p = 0.0014) and a cost ratio of 0.8:1 relative to other care settings. After adjusting for covariates, nephrology care remained associated with lower costs (adjusted cost savings: $2,742, p = 0.006). LIMITATIONS: Key limitations included potential inaccuracies of claims data, the lack of control for patients' ethnicity in the calculation of eGFR values, and the presence of potential biases due to the observational design of the study.
CONCLUSIONS: The current study demonstrated that pre-dialysis CKD patients treated in nephrology clinics were associated with significantly lower healthcare costs compared with patients treated in other healthcare settings.

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Year:  2010        PMID: 21050062     DOI: 10.3111/13696998.2010.529032

Source DB:  PubMed          Journal:  J Med Econ        ISSN: 1369-6998            Impact factor:   2.448


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