Skip to main content
. Author manuscript; available in PMC: 2013 Mar 20.
Published in final edited form as: JAMA. 2011 Oct 19;306(15):1688–1698. doi: 10.1001/jama.2011.1515

Table 1. Characteristics of validated readmission risk prediction models.

Study Population Setting No. of patients, derivation cohort No. of patients, validation cohort* Utilization outcome Actual readmission rate (% of patients) Range of readmission rates according to predicted risk (validation cohort) Model discrimination (c-statistic unless specified otherwise)
Derivation cohort Validation cohort
Models relying on retrospective administrative data
Anderson, 198522 Medicare patients(excluded ESRD pts), 1974-1977 US, general population 21043 10522 60-day readmissions NR NR 4 – 40 (lowest to highest decile)§ NR
Bottle, 200612 Inpatients, 2000-2001 England, general population ∼1373755 ∼1373754 12-month readmissions 9.80 overall --- All patients: 0.72
Patients with ambulatory care sensitive conditions: 0.75
All patients (12 month deaths excluded): 0.70
CMS model, AMI Krumholz 200816 Medicare AMI patients ≥ 65 yr, 2005-2006 US, general population 100465 100285 30-day readmissions 18.9 19.2 8. 0 – 33.0 (lowest to highest decile) 0.63
CMS model, CHF Krumholz, 200815 Medicare CHF patients ≥ 65 yr, 2003-2004 US, general population 283919 283528 30-day readmissions 23.6 23.7 15.0 - 37.0 (lowest to highest decile 0.6
CMS model, Pneumonia Krumholz, 200817 Medicare pneumonia patients ≥ 65 yr, 2005-2006 US, general population 226545 226706 30-day readmissions 17.4 17.5 9.0 – 31.0 (lowest to highest decile) 0.63
Halfon, 200613 All hospitalizations in year 2000 Switzerland, general population 65740 66069 30-day potentially avoidable readmissions 5.1 5.2 --- Nonclinical: 0.67
Charleson based: 0.69
SQLape: 0.72
Hammill, 201118 CHF registry patients ≥ 65 yr, 2004-2006 US. general population 24163# 30-day readmissions 21.9 overall Claims-only: 14.4 – 32.7 (lowest to highest decile) Claims-clinical: 13.5 – 33.9 Claims-only: 0.59
Claims-clinical: 0.60
Holloway, 199053 Medical, neurologic, surgical, and geriatric inpatients, 1981-1982 US, single VA hospital 2970 unclear 30-day readmissions 22.0 overall --- NR
Holman, 200514 Medical, surgical, psychiatric inpatients, 1989-1997 Western Australia, general population 326,456 5289 (asthma)
5265 (AMI)
30-day readmissions NR NR --- Asthma 0.71
AMI 0.64
Howell, 200954 General medical inpatients with ambulatory care sensitive condition 2005-2006 Queensland, Australia, general population 13207 4492 12-month readmissions 45.5 45.1 LR+ readmission for risk scores 50, 70, 80: 2.04, 3.11, 7.02 (overall range 0 – 100) 0.65
Naessens, 199223 Inpatients ≥ 65 yr, 1980, 1985, and 1987 US, general population in a single county 5854 randomly selected10% of derivation cohort 60-day mortality/readmissions 20.8 overall 15.6 – 36.0 (lowest to highest quartile) HCFA alone 0.59 (SE=0.01)
HCFA + COMPLEX 0.61 (SE=0.01)
Philbin, 199919 CHF inpatients, 1995 US, multicenter in a single state 21227 21504 CHF readmissions within calendar year 21.3 overall 9.8 – 45.4 (lowest to highest ninth) Simple scoring system: 0.60
Weighted scoring system: 0.61
Silverstein, 200820 Inpatients ≥ 65 yr, 2002-2004 US, multicenter in a single city 19528 9764 30-day readmissions 11.7 overall --- 0.65 (same for both Elixhauser and HRDES methods)
Thomas, 199621 Medicare inpatients ≥ 65 yr, 1989-1991 US, multicenter in a single state 12 different cohorts based on diagnosis; range 1163-14590 15-, 30-, 60-, and 90-day readmissions 3 - 40** overall --- among 8 medical conditions and 4 time periods, c statistic ranged from 0.55-0.61
Models using administrative data in real time
Amarasingham, 201024 CHF patients, 2007-2008 US, single center 1029 343 30-day readmissions 24.1 overall 12.2 – 45.7 (lowest to highest quintile) 0.72 (0.70-0.75)
Billings, 200725 Patients eligible for mandatory Medicaid managed care enrollment, 2000-2004 US, general population in a single city ∼35000 ∼35000 12-month readmissions NR NR NR
(inpatient costs ranged 23,687 – 44,385 for risk scores 50-90, overall range 0 – 100)
Risk scores range 0-100
Using risk score 50+, Sens 58%,
Spec 74%, PPV 69.5%, LR+ 2.23
PARR model Billings, 200626 Inpatients with an ambulatory care sensitive reference condition 2002-2003 England, general population 10% of hospital episodes for all England A second 10% sample of hospital episodes for all England 12-month readmissions NR NR --- 0.69
Models using retrospective primary data collection
Coleman, 200427 Medicare inpatients ≥ 65 yr, 1997-1998 US, general population 700 704 30-day “complicated care transitions”†† 21.9 25.0 --- administrative data model: 0.77colspan="11"administrative + self-report data: 0.83
Krumholz, 200030 Medicare CHF patients ≥ 65 yr, 1994-1995 US, multicenter in a single state 1129 1047 180-day readmissions 50.0 47.0 All-cause: 26.0 – 59.0
CHF: 9.0 – 31.0 (lowest to highest tertile)
Number of risk factors associated with readmission risk (P<0.0001).
0 risk factors: 26%
3-4 risk factors: 59%
Morrissey, 200328 Medical inpatients ≥ 65 yr, 1997-1998 Ireland, single rural hospital 487 732 12-month readmissions 40.7 29.0 --- 0.70
Smith Index (original) Smith, 198555 Medical inpatients, 1979-1980 US, single county hospital 1007 499 90-day readmissions 16.9 NA 7.3 – 38.0 (lowest to highest octile) Sens 59.0%, Spec 69.3%, PPV 29.9% LR+ 1.92
Smith Index validation Smith, 198856 Medical inpatients, 1985 US, single county hospital 502 (control) 499 (intervention) Readmissions/month/patient (mean 180 days f/u) NA 10.0 0.07 – 0.18 (lowest to highest tertile) NR
Smith Index validation Smith, 199657 Medical inpatients ≥ 45 yr, 1988-1990 US, single VA hospital 662 (validation) 90-day readmissions NA 20.1 --- 0.66
Van Walraven, 201029 Medical and surgical inpatients Canada, multicenter 4812 patients — split derivation/internal validation 1M patients from Discharge Abstract Database for external validation 30-day readmissions 7.3 7.3 0 – 42.9 (scores 0 – 17, footnote – corresponding to expected probability of readmission/death of 2.0 – 34.6%) 0.68 (0.65-0.71)
Models using primary data collected in real time
Burns, 199158 Medical inpatients ≥ 65 yr, 1987 US, single VA hospital 134 34 60-day readmissions 30.6 overall --- NR
Evans, 198859 Medical, neurologic, and surgical inpatients over a 6 week period US, single VA hospital 532 177 Composite of 60-day readmission, nursing home placement, or LOS longer than expected per mean LOS of DRG 21.0 overall (60-day readmissions) % high-care users: 34.7 – 91.7 (lowest to highest eighth) Risk score range 0-8Score >= 3:
Sens 0.60, Spec 0.76, LR+ 2.5Score >= 4:
Sens 0.42, Spec 0.93, LR+ 6
Hasan, 200931 Medical inpatients, 2001-2003 US, multicenter 7287 3659 30-day readmissions 17.5 17.4 5.9 – 28.9 (lowest to highest quartile) 0.61
PRA (original) Boult, 199332 Non-institutionalized Medicare patients ≥ 70 yr, 1984 US, general population 2942 2934 4 year readmissions 28.4 NA 26.1 (score 0-3) – 41.8 (score 4+) 0.61 (SE=0.01)
PRA validation Allaudeen, 201134 Medical inpatients ≥ 65 yr, 5 week period in 2008 US., single academic center NA 159 30-day readmissions NA 32.7 --- PRA 0.56 (0.44-0.67)
Prediction by physician 0.58-0.59 (0.46-0.70)
Prediction by non-physician provider 0.50-0.55 (0.38 – 0.67)
PRA validation Novotny, 200833 Medical inpatients, 2005-2007 US, single academic center 1077 41-day readmissions NA 14.0 --- PRA score 0.53 cutpoint, LR+ 1.67

Abbreviations: DRG denotes Diagnosis Related Group; LR+, Positive Likelihood Ratio; NA, Not Applicable; NR, Not Reported; PARR, Patients at Risk for Re-hospitalization algorithm; PRA, Probability of Repeated Admissions; SE, Standard Error.

*

The most recent validation cohort is listed if a study had multiple validation cohorts.

Unplanned, all-cause readmissions unless otherwise specified

Validation cohort values for the c-statistic are listed if a study provided c-statistic values for both validation and derivation cohorts. 95% confidence interval is provided in parentheses, if reported.

§

Approximate values of data presented in a bar graph.

The total number of subjects was divided equally between the derivation and validation cohorts, but the exact numbers were not specified.

Reference conditions such as congestive heart failure, chronic obstructive pulmonary disease, diabetes, and asthma, for which timely and effective case-management has the potential to reduce the risks of readmission.

#

Used bootstrap method for internal validation, no separate validation cohort

**

Reports 15-, 30-, 60-, and 90-day readmission rates for 12 different conditions

††

At least one transfer from lower to higher intensity care environment