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. 2021 Apr 9;24(2):222–230. doi: 10.1089/pop.2020.0043

Table 2.

Logistic Regression Assessing Factors Associated with Health Care Utilization Among Johns Hopkins Patients Between 2016–2018*

Variables Overall population
Medicaid population
OR 95% CI P OR 95% CI P
Housing Issues
 Homelessness 1.336 1.261–1.416 <0.00001 1.902 1.576–2.296 <0.00001
 Housing Instability 1.489 1.380–1.607 <0.00001 1.473 1.227–1.769 <0.00001
 Characteristics of the Building 0.888 0.818–0.964 0.00469 0.847 0.640–1.121 0.24500
Age
  1.001 1.001–1.002 <0.00001 1.010 1.008–1.011 <0.00001
Sex (Male as reference)
 Female 1.437 1.409–1.467 <0.00001 1.563 1.458–1.675 <0.00001
Race (White as reference)
 Asian 0.741 0.701–0.782 <0.00001 0.493 0.385–0.631 <0.00001
 African American 0.959 0.937–0.981 0.00039 0.794 0.734–0.858 <0.00001
 Others 0.646 0.620–0.674 <0.00001 0.553 0.488–0.627 <0.00001
Neighborhood Characteristics (ADI National Rank, neighborhoods below the 10th percentile as reference)
 Between 11th & 89th Percentiles 1.442 1.404–1.481 <0.00001 1.466 1.239–1.734 <0.00001
 Above the 90th Percentile 1.549 1.474–1.627 <0.00001 1.598 1.325–1.926 <0.00001
Insurance Type (commercial insurance as reference)
 Medicare 1.489 1.447–1.532 <0.00001 - - -
 Medicaid 2.078 1.997–2.162 <0.00001 - - -
 No insurance 2.416 2.356–2.477 <0.00001 - - -
 International 1.909 1.358–2.683 0.00020 - - -
 Others 0.394 0.301–0.516 <0.00001 - - -
Charlson Comorbidity Score (score of 0 as reference)
 1 5.636 5.503–5.771 <0.00001 4.219 3.912–4.550 <0.00001
 2 18.674 18.100–19.267 <0.00001 16.357 14.518–18.427 <0.00001
 ≥3 55.444 53.333–57.639 <0.00001 38.497 32.447–45.675 <0.00001
AIC§
  312,925 27,005
*

Health care utilization was defined as the number of encounters with the health care system during the study period (2016–2018). Logistic regression compared those at the 95th percentile (number of encounters ≥31) with the rest of the sample. Total sample size for overall the study population was 1,034,592 and for Medicaid patients was 76,946.

Odds ratios associated with being a top 5% user among study patients between 2016–2018.

Using ADI national rank for patient's place of residence. Higher ADI national rank represents a more disadvantaged neighborhood.

§

An estimator of the relative quality of statistical models for a given set of data. Lower values of AIC present a model with a better fit.

ADI, Area Deprivation Index; AIC, Akaike information criterion; CI, confidence enterval; OR, odds ratio; -, not applicable.