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Table 2 Linear regression models, association between increasing distance between hospitals and volume of shared patients

From: Association of distance between hospitals and volume of shared admissions

Model

Alla

Florida

Georgia

Maryland

New York

Utah

Vermont

Unadjusted

-3.19 (-3.22, -3.16)

- 3.46 (-3.51, -3.41)

-2.41 (-2.45, -2.39)

-5.00 (-5.09, -4.89)

-3.28 (-3.33, -3.23)

-0.39 (-0.45, -0.37)

-1.13 (-1.29, -0.97)

Hospital Characteristics

-2.87 (-2.90, -2.85)

-3.41 (-3.45, -3.37)

-2.26 (-2.30, -2.24)

-5.10 (-5.12, -4.92)

-2.88 (-2.93, -2.84)

-0.34 (-0.36, -0.32)

-1.24 (-1.38, -1.10)

Hospital + Patient Characteristics

-2.95 (-2.98, -2.93)

-3.46 (-3.50, -3.41)

-2.35 (-2.38, -2.32)

-4.92 (-5.02, -4.82)

-3.00 (03.05, -2.95)

-0.37 (-0.39, -0.34)

-0.66 (-0.75, -0.57)

Market

-3.16 (-3.19, -3.14)

-3.50 (-3.55, -3.45)

-2.37 (-2.40, -2.34)

-4.81 (-4.92, -4.70)

-3.20 (-3.25, -3.15)

-0.31 (-0.34, -0.29)

-1.15 (-1.30, -1.00)

All

-3.05 (-3.07, -3.02)

-3.52 (-3.56, -3.47)

-2.36 (-2.39, -2.33)

-4.98 (-5.08, -4.87)

-3.11 (-3.16, -3.08)

-0.37 (-0.39, -0.35)

-0.63 (-0.72, -0.55)

  1. Unadjusted: Modeling the relationship between index and readmission hospital and volume of shared patients
  2. Hospital Characteristics: bed size, teaching status, hospital ownership, and type of hospital—note each covariate is the characteristics of the pair (ex. index-teaching, readmit-nonteaching)
  3. Hospital and Patient Characteristics: Above plus percent of white patients in the zip code tabulation area of the patient’s home zip code
  4. Market: HHI (75% of market)
  5. All: Hospital, patient, market as above
  6. aDummy variables for states were used in the multi-state analysis