Skip to main content

Table 3 Models

From: Predicting the need for supportive services after discharged from hospital: a systematic review

Study

Outcome

Number (%) with outcome

Variable screening method

Variable selection method

Variables included in final model

Discrimination (derivation)

Discrimination (validation)

Calibration

Other measures of model performance

Fairchild et al., 1998 [15]

Use of post-discharge medical services

134 (35)

Univariable analysis

Selection algorithm

Age > 65, SF-36 Physical administered on admission < 50, SF-36 Social < 15

AUC = 0.75

AUC = 0.70

N/A

N/A

Simonet et al., 2008 [20]

Discharge to a post-acute care facility

104 (30)

Univariable analysis

Selection algorithm

Number of medically active conditions on admission, Inability of patient’s partner to provide home help, Number of IADL and ADL disabilities, Age, Admitted via inter-hospital transfer

AUC = 0.82

AUC = 0.77

N/A

8-point cutoff: Sensitivity 0.87/Specificity 0.63, 16-point cutoff: Sensitivity 0.42/Specificity 0.91

Mehta et al., 2011 [16]

Need for IADL support

242 (27)

Univariable analysis

Best subset algorithm

Age < 80, 80–89, > 90, Dependent in > 3 IADLS prior to admission, Number of ADL dependencies at the time of admission 1, 2–3, 4–5, Metastatic cancer or stroke, Albumin < 3 g/dL, Mobility before admission

0.78

0.78

H-L P = 0.40

N/A

Stineman et al., 2014 [18]

Home discharge

3348 (85)

Univariable analysis

Selection algorithm

Married, Location before admission extended care, hospital, home, Functional recovery grade at discharge, discharge cognitive grade, History of liver disease, no feeding tube required, No intensive care unit admission, Mechanical ventilation during admission

0.82

0.8

H-L P = 0.23

 

Tapper et al., 2015 [19]

Discharge to rehabilitation

199 (15)

Clinical reasoning

None (all variables included)

Gender, Age, Ethnicity, Charlson Co-morbidity Index, Admission ADL score, Admission Morse fall risk score and Braden score, Admission MELD, Admission serum sodium, Infection, Cirrhotic decompensation, Hepato-cellular carcinoma, Admitting hepatologist

AUC = 0.85

AUC = 0.77

N/A

N/A

Basic et al., 2015 [17]

New Admission to a Nursing Home

62 (5.9%)

Clinical reasoning, literature review

Backwards selection Using LR test

Clinical frailty scale 7-point, Dementia, delirium, Age, Urinary retention, Deconditioning, Seizure disorder

N/A

N/A

N/A

N/A