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. 2016 Aug 25;52(4):1511–1533. doi: 10.1111/1475-6773.12547

Table 1.

Description of Medication Nonadherence, Patient‐ and Neighborhood‐Level Enabling/Impeding Factors, Predisposing Factors, and Need (Risk) Factors for 49,176 Commercially Insured Individuals on Statin Therapy during 2009–2011 in Texas State

Variable Adherent Nonadherent p‐value
Enabling/impeding factors
OOP cost for statin medications $21.8 (18.3) $23.7 (18.8) <.001
Count of pharmacies per square mile in ZCTA 0.42 (2.1) 0.38 (1.28) .01
Predisposing factors
Gender, male=yes 27.1% 29.3% .002
Age, in years 52.4 (7.9) 49.9 (8.7) <.001
Rural: Proportion of individuals living in rural ZCTAs 15.9% 15.8% .796
Proportion living in ZCTAs, where percentage of households getting public assistance 2.42% (2.28) 2.87% (2.72) <.001
Proportion living in ZCTAs, where percentage of population with less than high school education 18.0% (12.3) 20.5% (13.8) <.001
Proportion living in ZCTAs, where percentage of population with college or higher education 27.4% (16.9) 24.7% (16.2) <.001
Proportion living in ZCTAs, where percentage of English‐only speaking population 19.5% (11.7) 20.9% (12.1) <.001
Racial/ethnic density
Proportion living in Non‐Hispanic white dominated ZCTAs 83.7% 75.6% <.001
Proportion living in Hispanic dominated ZCTAs 14.2% 21.2% <.001
Proportion living in African American dominated ZCTAs 2.03% 3.20% <.001
Proportion of foreign‐born population living in ZCTAs 11.1% (8.8) 12.5% (9.8) <.001
Average travel‐to‐work time in ZCTAs, in minutes 25.3 (5.8) 25.4 (5.7) .162
Need/risk factors
Comorbid conditions
Proportion of individuals with diabetes 11.8% 14.4% <.001
Proportion of individuals with mental disorders 31.6% 32.8% <.001
Proportion of individuals with cardiovascular disorders 10.3% 12.1% <.001
Proportion of individuals who visited cardiologist 30 days before starting statin therapy 15.8% 12.1% <.001
Prior health care utilization: total medical spending 6 months before starting statin therapy <.001
Low utilizers 28.9% 36.2%
Intermediate utilizers 34.8% 37.2%
High utilizers 36.2% 37.3%