Number of subsequent non-elective (all-cause) readmissions to an acute care hospital within 30 days of discharge after hospitalization for any of the following conditions: pneumonia, diabetes, stroke, gastrointestinal disease, congestive heart failure, chronic obstructive pulmonary disease, heart attack and other cardiac conditions (selected HBAM Inpatient Grouper (HIG) conditions).
Inclusions:
The hospitalization readmission is counted if:
a. the re-admission date is within 30 days of the index case discharge;
b. the DAD field “admission category” is urgent/emergent;
c. the admission is not coded as an acute transfer by receiving hospital (unless the readmission was coded as a transfer from the same hospital)
Exclusions:
a. there is missing or invalid data for discharge date, admission date, health number, age and gender.
Calculation:
The numerator is the sum of all readmissions for all index cases in the reporting period.
Steps: To obtain observed readmissions: 1. Index cases (denominator) must be identified first. 2. For each index case, identify whether there is a non-elective readmission to any facility within 30 days of discharge. The hospitalization readmission is counted if: a. the readmission date is within 30 days of the index case discharge; b. the DAD field “admission category” is urgent (non-elective readmission). The hospitalization readmission is excluded if: a. the readmission case is coded as an acute transfer by the receiving hospital (unless the readmission was coded as a transfer from the same hospital). b. there is missing or invalid data for discharge date, admission date, Ontario health card number, age or gender.
2
Total number of hospital discharges after hospitalization for any of the following conditions: pneumonia, diabetes, stroke, gastrointestinal disease, congestive heart failure, chronic obstructive pulmonary disease, heart attack and other cardiac conditions (selected HBAM Inpatient Grouper (HIG) conditions).
Calculation:
The denominator is the sum of all index cases (discharges in the reporting period for selected HIGs). Steps: Identify index cases:
1. The index hospitalization is counted if:
a. The discharge date falls in the reporting period;
b. The HIG Group and patient age restrictions match those listed in the appendix;
c. The Inpatient HIG atypical code is ‘00’ (typical cases), ‘01’ (transfer in cases), ‘09’ (short stay outlier cases), ‘10’ (long stay outlier cases), or ‘11’ (transfer in long stay cases).
2. The index hospitalization is excluded if:
a. The case is coded as a transfer to another acute inpatient hospital.
3. The denominator is the sum of all index cases in the reporting period.
Inclusions:
1. Patient with: • Acute Myocardial Infarction (age 45+) • Cardiac conditions other than heart attack (age 40+) • Congestive heart failure (age 45+) • Chronic obstructive pulmonary disease (age 45+) • Pneumonia • Diabetes • Stroke (age 45+) • Gastrointestinal disease (See HIG conditions);
2. Cases where the Inpatient HIG atypical code is either ‘00’ (typical cases), ‘01’ (transfer in cases), ‘09’ (short stay outlier cases), ‘10’ (long stay outlier cases), or ‘11’ (transfer in long stay cases).
Excludes:
1. Records with missing valid data on discharge/admission date, Ontario health card number, age or gender;
2. Index cases coded as transfers to another acute inpatient hospital, deaths, or sign-outs;
3. Exclude cases with Discharge disposition = ‘07’ (death). For FY 2018 and onwards, exclude cases with discharge disposition = ‘72’ (died in facility), ‘73’ (medical assistance in dying (MAID)), ‘74’ (suicide in facility).
Risk-adjusted rate = (Crude (observed, actual) rate / Expected rate) * Provincial reference rate.
Calculation:
Expected Readmissions: To calculate the predicted probability of non-elective readmission to
any Ontario acute care hospital for patients discharged with the specified HIGs, a logistic
regression model is fitted with HIG, age, gender, prior hospitalizations (within 1, 2 and 3
months), quarterly seasonality (calendar year) and the Charlson co-morbidity adjustment index
score as independent variables. Coefficients derived from the logistic model are used to
calculate the probability of readmission for each patient. The expected number of readmissions
for a hospital/LHIN is the sum of the patient probabilities for all the index admissions in that
hospital/LHIN.