Potentially Preventable Readmissions RARE Mental Health Collab .
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Potentially Preventable ReadmissionsRARE Mental Health Collab.
Mark Sonneborn
February 2014
What are PPRs?• 3M software• Based on MHA administrative data• Measures readmissions to the same facility only
o ~ 22% go to different facilities, per literature
How to interpret the reports
© 3M 2007. All rights reserved.
General Guidelines for PPRs
Readmission
Initial Admission Medical Surgical
Medical PPR except if clearly unrelated acute events
Not PPR unless initial medical diagnosis clearly should have resulted in
surgery
SurgicalPPR except conditions
clearly unrelatedPPR if related to prior
surgery
© 3M 2007. All rights reserved.
PPR Global Exclusions If any of the following conditions apply to the initial admission, a
subsequent readmission is globally excluded from consideration as a PPR• Admissions for which follow-up care is intrinsically extensive and
complexo Major or metastatic malignancies treated medicallyo Multiple trauma, burns
• Discharge status indicates limited hospital & provider controlo Left against medical adviceo Transferred to another acute care hospital
• Neonates• Other exclusions
o Specific eye procedures and infectionso Cystic fibrosis with pulmonary diagnoses
• Died – not included as candidate initial admissions (denominator)
© 3M 2007. All rights reserved.
Clinical Factors make a readmission not potentially preventable
No clinical relationship to prior discharge• Cholecystectomy two weeks after hip replacement
Discharge status of prior discharge• AMA and transferred to another acute care hospital
Type of prior discharge• Follow-up care is intrinsically complex and extensive
o Metatastic malignancies, Multiple trauma, Burns Longer interval between discharge and
readmission• Long time intervals (>30 days) reduce confidence that
readmission is causally linked to the prior discharge
© 3M 2007. All rights reserved.
Non- PPR Reasons
How to interpret PPR results – Hospital-level
PPRsAt Risk Cases
Actual Rate
Expected Rate
Expected PPRs
Target PPRs
Difference from Target A/E Ratio
172 3,820 4.5 5.0 ** 192.3 153.9 18.1 0.90
PPRs is the actual number of PPRs detected during the time period
How to interpret PPR results – Hospital-level
“At Risk Cases” is the denominator – it’s all cases minus the exclusions mentioned before
PPRsAt Risk Cases
Actual Rate
Expected Rate
Expected PPRs
Target PPRs
Difference from Target A/E Ratio
172 3,820 4.5 5.0 ** 192.3 153.9 18.1 0.90
How to interpret PPR results – Hospital-level
Actual Rate is PPRs divided by At Risk Cases
PPRsAt Risk Cases
Actual Rate
Expected Rate
Expected PPRs
Target PPRs
Difference from Target A/E Ratio
172 3,820 4.5 5.0 ** 192.3 153.9 18.1 0.90
How to interpret PPR results – Hospital-level
Expected Rate – this is a unique number for every hospital based on their patient population. Generally, hospitals with more severely ill patients will have higher expected rates.
PPRsAt Risk Cases
Actual Rate
Expected Rate
Expected PPRs
Target PPRs
Difference from Target A/E Ratio
172 3,820 4.5 5.0 ** 192.3 153.9 18.1 0.90
How to interpret PPR results – Hospital-level
One star is statistically “worse than expected” (or higher); Two stars is “no different than expected”; Three stars is “better than expected” (or lower)
PPRsAt Risk Cases
Actual Rate
Expected Rate
Expected PPRs
Target PPRs
Difference from Target A/E Ratio
172 3,820 4.5 5.0 ** 192.3 153.9 18.1 0.90
How to interpret PPR results – Hospital-level
Expected PPRs is the Expected Rate times the At Risk Cases
PPRsAt Risk Cases
Actual Rate
Expected Rate
Expected PPRs
Target PPRs
Difference from Target A/E Ratio
172 3,820 4.5 5.0 ** 192.3 153.9 18.1 0.90
How to interpret PPR results – Hospital-level
Target PPRs is 20% less than Expected PPRs
PPRsAt Risk Cases
Actual Rate
Expected Rate
Expected PPRs
Target PPRs
Difference from Target A/E Ratio
172 3,820 4.5 5.0 ** 192.3 153.9 18.1 0.90
How to interpret PPR results – Hospital-level
Difference from Target is your actual PPRs (first column) minus the Target PPRs.
The goal for this hospital is to reduce by 18 PPRs per year.
PPRsAt Risk Cases
Actual Rate
Expected Rate
Expected PPRs
Target PPRs
Difference from Target A/E Ratio
172 3,820 4.5 5.0 ** 192.3 153.9 18.1 0.90
Actual to Expected Ratio
Actual Rate
Expected Rate A/E Ratio
4.5 5.0 0.90
An A/E Ratio above 1.0 is more than expected; below is less than expected.
The goal for the RARE campaign is to get the A/E ratio down to 0.80
Example Detail (Record-level) Report
ACCTNBR
MEDRECNO
ADMIT_YR
ADMIT_MM
ADMIT_DD
DISCHARGE_YR
DISCHARGE_MM
DISCHARGE_DD
APR_DRG APR_SOI
PPR_DAYS
RECORD_TYPE PDX
DISCHARGE_STATUS MDC
NORM_RATE DRG
2013 05 11 2013 05 13 140 1 #NULL! OA 49121 1 4 0.094996 1922013 07 03 2013 07 10 207 1 303 OA 4589 3 5 0.051087 3152013 05 06 2013 05 07 513 1 #NULL! IA 6262 1 13 0.020316 7432013 05 23 2013 05 25 813 2 16 RA 99831 1 21 0.070496 9202013 08 10 2013 08 13 560 2 #NULL! OA 65811 1 14 0 7742013 03 23 2013 04 02 460 3 15 RA 5849 3 11 0.114181 6832013 09 16 2013 09 17 246 2 #NULL! OA 5579 1 6 0.044374 3952013 07 01 2013 07 03 302 2 #NULL! OA 71536 1 8 0.028048 4702013 09 11 2013 09 12 223 1 #NULL! OA 5409 1 6 0.092424 3432013 05 03 2013 05 05 249 1 #NULL! OA 27651 1 6 0.032941 6412013 07 16 2013 07 18 560 1 #NULL! OA 64511 1 14 0 7752013 04 16 2013 04 17 560 2 #NULL! OA 66341 1 14 0 775
Detail Reports
• Acct #, Med Rec #• Admit, Discharge Date• APR-DRG, APR-DRG Severity of Illness
This is what the statewide norms are based on
• PPR days Days between discharge and admission
• Record Type 2-letter codes – THIS IS THE KEY FIELD
• Principal Diagnosis, MDC, DRG• Discharge Status• Statewide Norm
Hints for Using Detail Reports to Analyze Performance
Find patients that had potentially preventable readmissions• IA (Initial Admissions) have at least one affiliated RA
(Readmission)o All of the other two-letter codes are not for patients that were
readmitted
Use A/E ratio results from hospital-level report to hone in on certain types of cases
Look for patterns and characteristics of readmitted patients vs. non-readmitted• Are there differences in demographics or diagnoses?