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. 2020 Jan 2;35(7):2043–2049. doi: 10.1007/s11606-019-05613-3

Table 3.

Models Predicting Firearm-Related Homicide Rate from 2012 to 2016 in the US

Model 1 (R2 = 0.609) Model 2 (R2 = 0.612) Model 3 (R2 = 0.642) Model 4 (R2 = 0.642)
β (SE) β (SE) β (SE) β (SE)
Primary care provider rate − 0.06 (0.05) − 0.06 (0.05) − 0.05 (0.05) − 0.05 (0.05)
Psychiatrist rate 0.02 (0.01) 0.02 (0.01) − 0.01 (0.01) 0.01 (0.01)
Poverty rate 0.11 (0.03)** 0.10 (0.03)** 0.07 (0.03)** 0.07 (0.03)*
Hunting license rate − < 0.01 (< 0.01)* − < 0.01 (< 0.01)* − < 0.01 (< 0.01) − < 0.01 (< 0.01)
Density − 0.12 (0.06)* − 0.12 (0.06)* − 0.17 (0.06)** − 0.16 (0.06)**
Medicaid generosity − 0.28 (0.20) − 0.60 (0.22)** − 0.58 (0.23)*
Alcohol regulations 0.28 (0.08)** 0.28 (0.08)**
Worker index 0.18 (0.13) 0.18 (0.13)
Violent crime prohibition laws − 0.04 (0.18)

SE, standard error; N = 242. This table displays fixed effects models of state-level healthcare factors and policy factors predicting firearm-related homicide rate, excluding the District of Columbia and US territories. Models are adjusted for year and census division. *Value is significant at the 0.05 level. **Value is significant at the 0.01 level