Hospitalizations and emergency department use in Mayo Clinic Biobank participants within the employee and community health medical home

Published: September 1, 2013
Category: Bibliography > Papers
Authors: Anderson KS, Bielinski SJ, Cerhan JR, Haas LR, Hathcock MA, Naessens JM, Olson JE, Pathak J, Ryu E, Takahashi PY
Countries: United States
Language: null
Types: Care Management
Settings: Hospital

Mayo Clin Proc 88:963-969.

Division of Primary Care Internal Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA

OBJECTIVE: To evaluate the participants in the Mayo Clinic Biobank for their representativeness to the entire Employee and Community Health program (ECH) primary care population with regard to hospital utilization.

PATIENTS AND METHODS: Participants enrolled in the Mayo Clinic Biobank from April 1, 2009, to December 31, 2010, were linked to the ECH population. These individuals were categorized into risk tiers (0-4) on the basis of the number of health conditions present as of December 31, 2010. Outcomes were ascertained through December 31, 2011. Hazard ratios (HRs) and 95% CIs for risk of hospitalization, emergency department (ED) visits, and for risk of hospitalization and emergency department (ED) visits were estimated.

RESULTS: The 8927 Biobank participants were part of ECH (N=84,872). Compared with the entire ECH population, the Biobank-ECH participants were more likely to be female (64.3% vs 54.6%), older (median age, 58 years vs 47 years), and categorized to tier 0 (6.4% vs 24.0%). There were strong positive associations between tier (tier 4 vs combined tiers 0 and 1) and risk of hospitalization (HR, 5.8; 95% CI, 4.6-7.5) and ED visits (HR, 5.4; 95% CI, 4.2-6.8) among Biobank-ECH participants. Similar associations for risk of hospitalization (HR, 8.5; 95% CI, 7.8-9.3) and ED visits (HR, 6.9; 95% CI, 6.4-7.5) were observed for the entire ECH population.

CONCLUSION: Although the Biobank-ECH participants were older and had more chronic conditions compared with the overall ECH population, the associations of risk tier with utilization outcomes were similar, supporting the use of the Biobank participants to assess biomarkers for health care outcomes in the primary care setting.

PMID: 24001488

Predictive Risk Modeling,Outcome Measures,Age,High-Impact Chronic Conditions,Adolescent,80 and over,Databases,Factual/standards,Gender,Kaplan-Meier Estimate,Middle Aged,Minnesota,Proportional Hazards Models,Risk Factors,Sex Factors

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