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Table 3 Logistic regression results for the association between patient characteristics and surgical treatment

From: Factors related to initial treatment for adhesive capsulitis in the medicare population

 

Logistic Regression Model

OR of Surgery

Sex

 Female

Reference

 Male

1.14 [0.84, 1.53]

Race

 Asian

0.23 [0.03, 1.75]

 Black

0.37 [0.16, 0.86]

 Hispanic

0.77 [0.18, 3.35]

 Other

0.93 [0.37, 2.31]

 White

Reference

Dual eligible for Medicaida

1.54 [0.85, 2.78]

Age Group

 66–69

6.75 [2.12, 21.52]

 70–75

5.37 [1.68, 17.17]

 76–79

2.79 [0.81, 9.66]

 80–85

2.45 [0.70, 8.58]

 86 + 

Reference

Region

 Midwest

1.23 [0.78, 1.95]

 Northeast

0.36 [0.18, 0.69]

 South

1.31 [0.86, 2.01]

 West

Reference

Frailty Risk Index (FRI)

 0

1.25 [0.66, 2.37]

 1

1.11 [0.57, 2.18]

 2

0.79 [0.34, 1.87]

 3 + 

Reference

Comorbidities

 Type 1 Diabetes

0.61 [0.24, 1.54]

 Type 2 Diabetes

1.41 [1.03, 1.92]

 Hyperlipidemia

0.98 [0.74, 1.32]

 Hypertension

0.85 [0.63, 1.14]

 Thyroid Disorder

0.74 [0.47, 1.14]

 Rheumatoid arthritis

0.34 [0.05, 2.46]

 Gout

0.91 [0.33, 2.52]

 Parkinson’s Disease

0.45 [0.06, 3.28]

 Obesity

2.38 [0.83, 6.81]

  1. The model was adjusted for all listed covariates. Statistically significant results (p < 0.05) in bold
  2. aBeneficiary was fully dual-eligible for Medicare and Medicaid during the month the index shoulder visit occurred
  3. Reference Groups: Non-dual eligible for Medicaid, absence of each comorbidity (Type 1 Diabetes, Type 2 Diabetes, Hyperlipidemia, Hypertension, Thyroid Disorder, Rheumatoid Arthritis, Gout, Parkinson’s Disease and Non-Obese)
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BMC Geriatrics

ISSN: 1471-2318

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