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Table 1 Candidate model sets for three different outcomes

From: Timely estimation of National Admission, readmission, and observation-stay rates in medicare patients with acute myocardial infarction, heart failure, or pneumonia using near real-time claims data

 

Number of admissions

30-day readmission rate

30-day observation-stay rate

Dependent variables

D8(t)

R8(t)

O8(t)

Transformation function

Log vs. identity

Log vs. identity

Log vs. identity

Information criterion

AIC or BIC

Candidate covariates

Dm(t) or Hd(t), m = 2,…,7

Dm(t), Rm(t), or Hr(t), m = 2,…,7

Dm(t), Rm(t),Om(t), or Hm(t), m = 2,…,7

ARIMA (p,d,q) x (P, D,Q)S

p < =5, q < =5; P < =5,Q < =5 where S = 12 months

  1. Methodology summarizing the candidate models for the three different outcomes, including the dependent variable transformation function, information criteria for model selection, candidate covariates considered, and ARIMA parameter ranges. AIC Akaike information criteria, ARIMA Autoregressive integrated moving average, BIC Bayesian information criteria
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BMC Health Services Research

ISSN: 1472-6963

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