Table 2 Results of GEE model analysis to identify patient, pharmacy, and community factors associated with receiving an MCA service

Intercept

0.029

0.028

0.031

*

 71–75

0.999

0.976

1.022

 76–80

0.989

0.966

1.014

 81–85

0.922

0.897

0.948

*

 86+

0.716

0.694

0.740

*

Female

0.904

0.888

0.919

*

Recent immigrant <15 years

1.016

0.969

1.066

Hypertension

1.176

1.149

1.205

*

Ischemic heart disease

1.045

1.021

1.070

*

Heart failure

0.884

0.859

0.910

*

Diabetes

0.614

0.601

0.627

*

COPD/asthma

0.978

0.960

0.997

Depression

0.903

0.858

0.951

*

Dementia

0.574

0.548

0.600

*

Prior MCA

3.032

2.979

3.086

*

 Adherent to ACEi/ARB/statin

1.043

1.008

1.080

 Not receiving ACEi/ARB/statin

0.897

0.865

0.931

*

Number of ADGs in past 2 years

0.994

0.991

0.997

*

Number of ED visits in the last year

0.981

0.972

0.989

*

Number of hospitalizations in the last year

0.990

0.979

1.001

Number of physicians in the last year

0.994

0.992

0.996

*

New hospitalization/ED admission in past 60 days

1.065

1.041

1.090

*

Use of high risk medication in past 6 months

1.091

1.066

1.116

*

Use of PIMs in past 6 months

0.896

0.880

0.912

*

New prescription medication at claim-date

1.776

1.744

1.808

*

Number of physicians in past 3 months

1.013

1.011

1.015

*

 5–6

1.010

0.988

1.033

 7–8

0.803

0.782

0.824

*

 9–11

0.641

0.622

0.660

*

 11+

0.443

0.427

0.460

*

 2

0.884

0.851

0.918

*

 3

0.870

0.839

0.901

*

 4

0.784

0.757

0.812

*

 5 (highest)

0.649

0.626

0.672

*

 10–44 (non-major urban)

0.754

0.739

0.770

*

 45+ (rural)

0.737

0.710

0.765

*

 2

1.056

1.028

1.085

*

 3

1.051

1.023

1.080

*

 4

1.058

1.029

1.087

*

 5 (Highest)

1.079

1.050

1.109

*