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Table 4 Changes in key outcomes before and after PPS adoption

From: Prospective payment system and racial/ethnic disparities: a national retrospective observational study in anaemia complication among end-stage renal disease patients in the US

 

Before PPS

After PPS

N (%)

p-valueΦ

OR

N (%)

p-valueΦ

OR

Inpatient mortality a

 No anaemia α

2594 (2.1)

 

Ref

3993 (1.68)

 

Ref

 Anaemia β

645 (1.29)

***

0.61*** (0.56–0.67)

2160 (1.2)

***

0.72*** (0.68–0.76)

Discharge to a healthcare facility b

 No anaemia α

41,606 (35.3)

 

Ref

83,812 (36.7)

 

Ref

 Anaemia β

16,150 (33.4)

***

0.93*** (0.91–0.95)

63,387 (36.5)

0.30

1.00 (1.00–1.02)

 

Mean (SD)

p-value¥

Marginal effects

Mean (SD)

p-value¥

Marginal effects

Hospital cost (2016 USD) c

 No anaemia

11,565 (14623)

 

Ref

10,859 (14454)

 

Ref

 Anaemia

11,352 (13032)

**

768*** (654–882)

10,790 (12480)

0.11

683*** (615–752)

  1. Note: a,b,c All models were adjusted for demographic and socioeconomic variables (insurance type, gender, age at admission, median household income for patient’s ZIP Code, location), clinical variables (renal replacement therapies, iron deficiency, proteinuria, age adjusted comorbidity score ACCI, hospital characteristics, diabetes with or without complications), and year of admission. a Logistic regression model; b Logistic regression model, restricted to admissions who were alive at discharge, c Generalized linear models, additionally adjusted for inpatient mortality. OR: odds ratio, 95%CI: 95% confidence interval. Marginal effect estimates are presented in form of incremental/decremented hospital cost. αThe number (percentage) of admissions who died in hospitals/were discharged to a healthcare facility and who did not have anaemia diagnosis, βThe number (percentage) of admissions who died in hospitals/were discharged to a healthcare facility and who had anaemia diagnosis. Φ Chi square test, ¥ Independent sample T-test. Ref: reference group. * p < 0.05, ** p < 0.01, *** p < 0.001