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Table 4 Associations Between Transitional Care Combinations and Trends in 30-Day Readmissions

From: Understanding the groups of care transition strategies used by U.S. hospitals: an application of factor analytic and latent class methods

Ā 

Risk-Adjusted Change in Probability of 30-day

Transitional Care Combination

Readmission, 2010ā€“14

Ā 

Estimate

St. Error

P value*

Model 1: Non-Exclusive Combinations Based on Factor Analysis

Factor A: Shared Decision

āˆ’0.0056

0.0006

0.0127

Factor B: Identify High Risk

āˆ’ā€‰0.0046

0.0006

0.2989

Factor C: Medication Reconciliation

āˆ’0.0053

0.0006

0.1948

Factor D: Care Plan

āˆ’0.0054

0.0006

0.0521

Factor E: Cross-Setting Information Exchange

āˆ’0.0060

0.0006

0.0040

No Factor Used (reference)

āˆ’0.0049

0.0003

Ā 

Model 2: Mutually Exclusive Combinations Based on Factor Analysis (ordered by magnitude)

Factors Aā€‰+ā€‰Bā€‰+ā€‰Cā€‰+ā€‰E

āˆ’0.0106

0.0017

0.0001

Factors Aā€‰+ā€‰Cā€‰+ā€‰Dā€‰+ā€‰E

āˆ’0.0096

0.0024

0.0149

Factors Bā€‰+ā€‰Cā€‰+ā€‰Dā€‰+ā€‰E

āˆ’0.0089

0.0020

0.0117

Factors Bā€‰+ā€‰Cā€‰+ā€‰E

āˆ’0.0080

0.0014

0.0007

Factors Aā€‰+ā€‰B

āˆ’0.0071

0.0030

0.3891

Factors Aā€‰+ā€‰Bā€‰+ā€‰D

āˆ’0.0070

0.0016

0.0665

Factors Aā€‰+ā€‰Bā€‰+ā€‰Dā€‰+ā€‰E

āˆ’0.0070

0.0016

0.0870

Factors Aā€‰+ā€‰Bā€‰+ā€‰Cā€‰+ā€‰Dā€‰+ā€‰E

āˆ’0.0070

0.0012

0.0033

Factors Aā€‰+ā€‰Bā€‰+ā€‰Cā€‰+ā€‰D

āˆ’0.0066

0.0011

0.0093

Factors Cā€‰+ā€‰D

āˆ’0.0065

0.0011

0.0209

Factors Aā€‰+ā€‰Cā€‰+ā€‰D

āˆ’0.0065

0.0010

0.0088

Factor A alone

āˆ’0.0064

0.0011

0.0317

Factor D alone

āˆ’0.0064

0.0014

0.1272

Factors Aā€‰+ā€‰Bā€‰+ā€‰C

āˆ’0.0059

0.0016

0.3755

Factors Bā€‰+ā€‰E

āˆ’0.0058

0.0016

0.4562

Factors Aā€‰+ā€‰C

āˆ’0.0058

0.0011

0.1960

Factors Bā€‰+ā€‰D

āˆ’0.0056

0.0017

0.6053

Factors Aā€‰+ā€‰D

āˆ’0.0055

0.0012

0.3749

Factor C alone

āˆ’0.0054

0.0011

0.4658

Factors Dā€‰+ā€‰E

āˆ’0.0048

0.0019

0.9495

Factors Bā€‰+ā€‰Dā€‰+ā€‰E

āˆ’0.0048

0.0021

0.9340

Factors Cā€‰+ā€‰E

āˆ’0.0041

0.0038

0.8056

Factors Bā€‰+ā€‰Cā€‰+ā€‰D

āˆ’0.0040

0.0014

0.3056

Factors Cā€‰+ā€‰Dā€‰+ā€‰E

āˆ’0.0033

0.0023

0.3752

Factor B alone

āˆ’0.0032

0.0024

0.3514

Factors Aā€‰+ā€‰Dā€‰+ā€‰E

āˆ’0.0017

0.0018

0.1180

Factors Bā€‰+ā€‰C

0.0014

0.0015

0.0001

No Factors Used (reference)

āˆ’0.0049

0.0005

Ā 

Model 3: Mutually Exclusive Combinations Based on Latent Class Analysis

Class A: Broad Spectrum

āˆ’0.0031

0.0013

0.0192

Class B: Intermediate with Care Plan

āˆ’0.0057

0.0011

0.9680

Class C: Intermediate with Shared Decision

āˆ’0.0100

0.0010

0.0001

Class D: Intermediate with Medication Reconciliation

āˆ’0.0025

0.0009

0.0001

Class E: Intermediate with Interdisciplinary Teams

āˆ’0.0061

0.0008

0.5966

Class F: Intermediate with Referral to Community Services

āˆ’0.0071

0.0005

0.0006

Class G: Narrow Spectrum (Reference)

āˆ’0.0058

0.0001

Ā 

Model 4: Hospital random effects and time trend only

Full sample

āˆ’0.0028

0.0001

0.0010

Model Diagnostics

-2Ln(L)

AIC

BIC

Model 1

2,916,257

2,916,261

2,916,268

Model 2

2,916,684

2,916,688

2,916,695

Model 3

2,916,261

2,916,265

2,916,273

Model 4

3,049,854

3,049,858

3,049,866

  1. Note: Estimates are from linear probability models with random hospital effects, adjusting for age, sex, race, dual-eligibility status, disability status, Elixhauser comorbidities, Medicare expenditures in past 180ā€‰days, urban/rural designation of hospital, Area Deprivation Index, Health Professions Shortage Area designation, teaching hospital designation, hospital ownership type, and monthly time trend
  2. Mutually exclusive TC combinations are defined such that each hospital is classified into exactly one combination
  3. *P-value indicates the significance of the difference between the coefficient estimate for the current category and the reference category in each model. Bold text indicates pā€‰<ā€‰0.05