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. Author manuscript; available in PMC: 2023 Nov 1.
Published in final edited form as: Pharmacoepidemiol Drug Saf. 2023 Jul 4;32(11):1290–1298. doi: 10.1002/pds.5662

Table 1:

Characteristics of sampled patients from Electronic Medical Record

Characteristic N=521
Age in years, Mean (Standard deviation [SD])* 65.8 (11.3)
Age groups, n (%)*
 < 55 years old 67 (12.9)
 55 - 64 years old 171 (32.8)
 65 - 74 years old 182 (34.9)
 ≥ 75 years old 99 (19.0)
Sex, Male n (%) 485 (93.0)
Race, n (%)
 White 427 (81.9)
 Black 76 (14.6)
 Other 18 (3.5)
Type 2 Diabetes, n (%) 469 (90.0)
Discharged Setting of Medical Care n(%)
 Outpatient 216 (41.4)
 Emergency Department 200 (38.4)
 Hospitalization/ Hospital transfer 88 (16.9)
 Uncertain/ Not available 17 (3.3)
Primary reason for visit n(%)
 Fracture follow-up care 68 (13.1)
 Suspected fracture or confirmed new fracture 197 (37.8)
 Injury 136 (26.1)
 Other (visit with a pain complaint) 98 (18.8)
 Unknown 22 (4.2)
Mechanism n (%)
 Minimally traumatic, atraumatic, fall from same level (slip or trip), or overuse injury 212 (40.7)
 Traumatic fall from mid height: bed, chair, toilet 12 (2.3)
 Traumatic fall from great height: major trauma, car accident 116 (22.3)
 Pathologic fracture 16 (3.0)
 Unknown mechanism or circumstances (patient found down) 27 (5.2)
 No fracture 138 (26.5)
Distribution of Codes
 ICD 9 338 (64.9)
 ICD 10 183 (35.1)
*

age not available in 2 charts

Race other includes patients who self report their race as unknown (n=12); American Indian (n=1); Hawaiian Pacific Islander (n=1) White non Hispanic (n=1) and Hispanic ethnicity (n=3)

Includes patients who received majority of care in this setting. For example a patient seen in ED but admitted to hospital would be included in the Hospitalization group even if the first code for fracture validation appeared in the Emergency room