Chronic kidney disease identification in a high-risk urban population: Does automated eGFR reporting make a difference?

Laura C. Plantinga, Delphine S. Tuot, Vanessa Grubbs, Chi Yuan Hsu, Neil R. Powe

Research output: Contribution to journalArticle

Abstract

Whether automated estimated glomerular filtration rate (eGFR) reporting for patients is associated with improved provider recognition of chronic kidney disease (CKD), as measured by diagnostic coding of CKD in those with laboratory evidence of the disease, has not been explored in a poor, ethnically diverse, high-risk urban patient population. A retrospective cohort of 237 adult patients (≥20 years) with incident CKD (≥1 eGFR ≥60 ml/min/1.73 m2, followed by ≥2 eGFRs <60 ml/min/1.73 m2 ≥3 months apart)-pre- or postautomated eGFR reporting-was identified within the San Francisco Department of Public Health Community Health Network (January 2005-July 2009). Patients were considered coded if any ICD-9-CM diagnostic codes for CKD (585.x), other kidney disease (580.x-581.x, 586.x), or diabetes (250.4) or hypertension (403.x, 404.x) CKD were present in the medical record within 6 months of incident CKD. Multivariable logistic regression was used to obtain adjusted odds ratios (ORs) for CKD coding. We found that, pre-eGFR reporting, 42.5 % of incident CKD patients were coded for CKD. Female gender, increased age, and non-Black race were associated with lower serum creatinine and lower prevalence of coding but comparable eGFR. Prevalence of coding was not statistically significantly higher overall (49.6 %, P = 0.27) or in subgroups after the institution of automated eGFR reporting. However, gaps in coding by age and gender were narrowed post-eGFR, even after adjustment for sociodemographic and clinical characteristics: 47.9 % of those <65 and 30.3 % of those ≥65 were coded pre-eGFR, compared to 49.0 % and 52.0 % post-eGFR (OR = 0.43 and 1.16); similarly, 53.2 % of males and 25.4 % of females were coded pre-eGFR compared to 52.8 % and 44.0 % post-eGFR (OR 0.28 vs. 0.64). Blacks were more likely to be coded in the post-eGFR period: OR = 1.08 and 1.43 (P interaction > 0.05). Automated eGFR reporting may help improve CKD recognition, but it is not sufficient to resolve underidentification of CKD by safety net providers.

Original languageEnglish (US)
Pages (from-to)965-976
Number of pages12
JournalJournal of Urban Health
Volume89
Issue number6
DOIs
StatePublished - Dec 1 2012

Keywords

  • African American
  • Chronic kidney disease
  • Diagnostic coding
  • Estimated glomerular filtration rate
  • Female

ASJC Scopus subject areas

  • Health(social science)
  • Urban Studies
  • Public Health, Environmental and Occupational Health

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