Appendix Table 2.

Most Challenging Obstacles in Addressing Food Insecurity (FI), by Respondent's Demographic Characteristics

Inadequate time during appointmentsOther medical issues take priorityLack of knowledge about available resources for food insecurityLack of resources in community to address food insecurity
n%95%CI%95%CI%95%CI%95%CIInteraction effect p-Value
Gender
 Female56580.577.183.675.271.578.646.041.950.238.234.342.3
 Male31783.979.587.675.770.780.144.539.150.039.133.944.6
Odds ratio (95% CI); p-valueGender*Obstacle
 Female versus Male0.79 (0.50, 1.26); 0.850.97 (0.65, 1.46); >0.991.06 (0.75, 1.51); >0.990.96 (0.67, 1.38); >0.990.66
Age
 <4028183.678.887.573.367.878.254.548.660.235.229.941.0
 40 to 4923881.576.186.074.868.979.943.337.149.743.737.550.1
 50 to 5917281.474.986.582.676.287.544.837.552.331.424.938.7
 ≥6013677.269.483.573.565.580.338.230.546.742.734.651.1
Odds ratio (95% CI); p-valueAge (P > .99)Age (P = .52)Age (P = .030)Age (P = .143)Age*Obstacle
 ≥60 versus <400.52 (0.27, 0.99); 0.0440.004
Race
 White (non-hispanic)65483.580.486.176.673.279.744.540.748.337.634.041.4
 Non-White/Multi-racial22277.071.082.171.264.976.850.543.957.040.133.946.7
Odds ratio (95% CI); p-valueRace*Obstacle
 White versus Non-white1.51 (0.94, 2.43); 0.1271.33 (0.86, 2.05); 0.420.79 (0.53, 1.16); 0.500.90 (0.61, 1.34); >0.990.099
Under-represented in medicine
 Yes15876.068.782.069.662.076.351.944.159.642.434.950.2
 No73582.980.085.476.673.479.544.540.948.137.634.141.1
Odds ratio (95% CI); p-valueUnderRep*Obstacle
 Yes versus No0.65 (0.39, 1.10); 0.170.70 (0.43, 1.14); 0.261.35 (0.87, 2.09); 0.361.22 (0.78, 1.91); >0.990.061
Year earned degree
 Before 200030879.274.383.478.373.382.541.936.547.539.033.744.5
 2000 to 201026779.073.783.576.070.580.843.838.049.837.531.943.4
 After 201031886.281.989.572.066.876.751.345.856.738.132.943.5
Among year earned degreeDegreeYr (P = .142)DegreeYr (P = .75)DegreeYr (P = .188)DegreeYr (P > .99)DegreeYr*Obstacle
0.034
Highest Degree
 MD/DO with PhD4691.379.096.763.048.475.656.542.170.050.035.964.1
 MD67681.778.684.477.173.880.145.341.649.037.333.741.0
 DO9883.775.089.878.669.485.644.935.454.833.725.043.6
 Masters/PhD/Other Doctoral7573.362.282.164.052.674.044.033.355.446.735.757.9
Among DegreesDegree (P = .39)Degree (P = .064)Degree (P > .99)Degree (P = .45)Degree*Obstacle
0.123
Institute type
 Medical school Allopath/Osteopath)50880.176.483.473.469.477.147.142.751.439.235.043.5
 Not medical school38583.679.687.078.273.882.043.638.848.637.432.742.4
Odds ratio (95% CI); p-valueInstType*Obstacle
 Med school versus not0.79 (0.51, 1.23); 0.720.77 (0.52, 1.15); 0.411.15 (0.82, 1.61); >0.991.08 (0.76, 1.53); >0.990.29
Institute residency program
 Family medicine + other62382.078.884.873.569.976.849.045.152.938.434.642.3
 Family medicine only23381.676.086.078.572.883.338.632.645.037.331.443.7
 No Family medicine/No residency3677.861.588.588.973.995.838.924.655.438.924.655.4
Among Institute residency progResidency (P > .99)Residency (P = .23)Residency (P = .074)Residency (P > .99)Residency*Obstacle
0.049
Location class area of work
 Urban46182.979.286.076.172.079.845.841.350.335.130.939.6
 Suburban28881.977.186.076.771.581.346.240.552.037.231.842.9
 Rural14677.469.983.570.662.777.444.536.752.750.742.658.7
Odds ratio (95% CI); p-valueLocClass (P > .99)LocClass (P > .99)LocClass (P > .99)LocClass (P = .014)LocClass*Obstacle
 Urban versus Rural0.53 (0.30, 0.91); 0.0100.043
 Suburban versus Rural0.58 (0.32, 1.03); 0.078
Work in underserved area
 Yes24375.369.580.371.265.276.549.042.755.234.628.940.8
 No/unsure64784.181.186.777.173.780.244.740.948.539.635.943.4
Odds ratio (95% CI); p-valueUnderserved*Reason
 Yes versus no/unsure0.58 (0.36, 0.91); 0.0110.73 (0.48, 1.12); 0.271.19 (0.82, 1.73); >0.990.81 (0.54, 1.19); 0.690.051
  • *Note: For each demographic variable the p-values for the test of effect of demographic variable and pairwise comparisons have been adjusted for multiplicity (i.e. number of reasons and number of pairwise comparisons).

  • Abbreviation: CI, confidence interval.