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Table 3 Multivariable regressions of hospitalization costs per inpatient day and LOS by MCCs category among ACSCs in the AHRQ PQIs

From: The effects of multiple chronic conditions on hospitalization costs and utilization for ambulatory care sensitive conditions in the United States: a nationally representative cross-sectional study

 

Overall composite (PQI 90)

Acute composite (PQI 91)

Chronic composite (PQI 92)

Costs per inpatient daya

Relative costs

95 % CI

Relative costs

95 % CI

Relative costs

95 % CI

Intercept (dollars per day)

$1937

 

$1896

 

2057

 

0–1 chronic condition

1.00

Ref.

1.00

Ref.

1.00

Ref.

2–3 chronic conditions

1.03

(1.03–1.03)

1.01

(1.00–1.01)

1.01

(1.01–1.02)

4–5 chronic conditions

1.05

(1.04–1.05)

1.01

(1.01–1.02)

1.02

(1.01–1.02)

6+ chronic conditions

1.04

(1.03–1.04)

1.01

(1.01–1.02)

0.99

(0.99–1.00)

Length of stay-Model 1a

Relative stay

95 % CI

Relative stay

95 % CI

Relative stay

95 % CI

Intercept (Days)

3.88

 

3.86

 

3.86

 

0–1 chronic condition

1.00

Ref.

1.00

Ref.

1.00

Ref.

2–3 chronic conditions

1.13

(1.13–1.14)

1.11

(1.11–1.12)

1.17

(1.16–1.18)

4–5 chronic conditions

1.22

(1.22–1.23)

1.21

(1.20–1.22)

1.24

(1.23–1.25)

6+ chronic conditions

1.23

(1.22–1.23)

1.27

(1.26–1.28)

1.22

(1.21–1.23)

Length of stay-Model 2b

Relative stay

95 % CI

Relative stay

95 % CI

Relative stay

95 % CI

Intercept (Days)

2.80

 

2.96

 

2.77

 

0–1 chronic condition

1.00

Ref.

1.00

Ref.

1.00

Ref.

2–3 chronic conditions

1.15

(1.15–1.16)

1.12

(1.11–1.13)

1.18

(1.17–1.20)

4–5 chronic conditions

1.24

(1.23–1.25)

1.20

(1.19–1.21)

1.24

(1.22–1.25)

6+ chronic conditions

1.22

(1.21–1.23)

1.25

(1.24–1.26)

1.18

(1.16–1.19)

  1. Abbreviations: ACSC ambulatory care sensitive condition, CI confidence interval, LOS length of stay
  2. a Model adjusted for age, sex, race
  3. b Model adjusted for age, sex, race and discharge status
  4. Source: Agency for Healthcare Research and Quality, Healthcare Cost and Utilization Project, State Inpatient Databases, 2012