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. Author manuscript; available in PMC: 2024 Apr 27.
Published in final edited form as: J Public Health Manag Pract. 2023 Apr 27;29(5):E198–E207. doi: 10.1097/PHH.0000000000001745

Table 1.

Descriptive Statistics of Hospital Catchment Areas

Mean (SD)
Predisposing Factors
Female, % 8.5 (2.6)
Age 80+, % 16.0 (4.3)
Low Income or service connected, % 83.0 (4.9)
Racial/ethnic composition
Non-Hispanic Black, % 13.8 (13.1)
Hispanic, % 6.3 (10.8)
Other Minoritized Groups*, % 3.0 (6.7)
New VA patients, % 20.0 (6.1)
Enabling Factors
Residing in “poverty area” census tract, % 22.6 (14.5)
Residing in Heath Professional Shortage Area county§, % 93.2 (9.8)
Drive Time 60+ minutes, % 3.2 (5.0)
Need Factors
COVID-19 vaccination status
Boostedll, % 32.0 (6.8)
Fully vaccinated, but not boosted**, % 26.9 (3.6)
Partially vaccinated†† 2.0 (0.9)
High-hospitalization Risk, % 8.8 (3.2)
Hospitalization
Omicron-related hospitalizations, per 10,000 patients 18.2 (12.6)

Notes:

*

American Indian/Alaska Native, Asian, Native Hawaiian/Other Pacific Islander, multi-race

Did not have VHA inpatient/outpatient visit in 2 years prior to pandemic

U.S. Census defines “poverty area” as 20% or more of the census tract below the poverty line

§

Either part or whole county defined as a Health Professional Shortage Area

ll

Received 2 mRNA + booster or 1 adenovirus + booster

**

Received 2 mRNA or 1 adenovirus vaccine(s)

††

Received 1 mRNA vaccine