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. 2016 Sep 1;52(5):1794–1816. doi: 10.1111/1475-6773.12554

Table 1.

Unadjusted Descriptive Statistics for Analytic Sample of Older Medicare Community‐Dwelling Fee‐for‐Service Beneficiaries, 2007–2009

Overall Sample, %/Mean (SD) (n = 5,497) FRI Cohort, %/Mean (SD) (n = 228) Non‐FRI Cohort, %/Mean (SD) (n = 5,269)
Expenditures ($)
Preindexa 7,801 (14,682) 11,575 (18960) 7,638 (14,448)
Postindexa 10,091 (19,826) 23,151 (25,977) 9,515 (19,321)
Changea 2,271 (19,770) 13,857 (25,224) 1,908 (19,467)
Persistently high expenditures (%)a 11 25 11
Agea 76 (7) 78 (7) 76 (7)
Male (%)a 42 32 42
Race/ethnicity (%)
White 82 86 82
African American 11 7 11
Hispanic 4 3 4
Other 3 4 3
Education (%)
<High school 22 23 22
High school 37 36 37
Some college 20 15 20
College 21 26 20
Income ($1,000) 55 (110) 54 (73) 55 (111)
Wealth ($1,000) 563 (1,307) 634 (1,200) 559 (1,312)
Eyesight (1–6) 3 (1) 3 (1) 3 (1)
Hearing (1–5) 3 (1) 3 (1) 3 (1)
Cognitive impairment (%) 2 3 2
Number of functional limitations (0–12)a 4 (3) 6 (3) 4 (3)
Number of chronic conditions (0–6)a 2 (1) 2 (1) 2 (1)
Psychiatric medication (%) 9 12 9
Disability (%) 12 13 12
Medicaid (%) 9 8 9
Area wage index 0.96 (0.15) 0.96 (0.16) 0.96 (0.15)
Physicians/10,000 older adults 188 (141) 181 (133) 188 (141)

FRIs identified using the adapted UCLA/RAND algorithm (Ganz et al. 2015; Kim et al. 2016) in which FRIs are identified using inpatient (hospital and SNF) ICD‐9 primary diagnoses and external cause of injury codes and outpatient diagnoses and procedural codes.

a

p < .05.