Skip to main content

Table 10 Random Forest Analysis Results

From: Improving evidence-based grouping of transitional care strategies in hospital implementation using statistical tools and expert review

Covariate

Number of Splits

G2

Relative Importance

Comorbidity

30,784

114.293

0.152

Hierarchical Condition Category (HCC) Cohort (e.g. Medical, Surgical, etc.)

29,459

106.811

0.142

Helpful Healthcare Contact

23,132

54.112

0.072

Promote Trust at Home

20,174

41.156

0.055

Symptom Management

21,791

38.865

0.052

Plain Language Communication at Home

19,470

38.479

0.051

Promote Trust at Hospital

17,908

36.913

0.049

Plain Language at Hospital

14,670

35.181

0.047

Integrated health system affiliation

6611

24.507

0.033

Referral to Community Services

11,620

19.863

0.026

Post Discharge Care Consultation

11,162

18.050

0.024

Patient and Family Caregiver TC Needs Assessment

10,775

17.161

0.023

Follow-up Appointment

6720

15.894

0.021

Home Visit

8808

15.822

0.021

TC Group: Patient/Family Caregiver Assessment and Information Exchange

9882

15.776

0.021

No TC Group

9707

15.496

0.021

TC Group: Hospital-based Trust, Plain Language, and Coordination

8540

15.482

0.021

TC Group: Patient Communication and Care Management

10,122

15.446

0.021

Teach Back for Information and Skills

9164

15.239

0.020

Timely Exchange of Critical Patient Information among Providers

7947

14.422

0.019

TC Group: Home-based Trust, Plain Language and Coordination

9593

14.227

0.019

Patient Goal/Preference Assessment

8617

13.815

0.018

Identify High-Risk Patients and Intervene

7320

12.338

0.016

Language Assessment

6329

11.422

0.015

Medication Reconciliation

5783

9.977

0.013

TC Group: Assessment and Teach Back

4770

8.429

0.011

Transition Team

4750

7.687

0.010

Transition Summary for Patients and Family Caregivers

3713

5.653

0.008

  1. Notes:G2 = Likelihood Ratio Test Statistic, which is twice the [natural log] entropy, or twice the change in the entropy. Entropy is Σ -log(p) for each observation, where p is the probability attributed to the response that occurred. The G2 for a particular tree is the sum of the G2 values for each node that splits on that predictor. For a bootstrap forest model, the G2 values are added across the trees to give the G2 for that variable
  2. HCC cohorts include: Medical, Surgical, Neurology, Cardiorespiratory, Cardiovascular