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. Author manuscript; available in PMC: 2011 Oct 1.
Published in final edited form as: Am J Manag Care. 2010 Oct;16(10):760–767.

Table 3.

Prevalence of and service use for potentially preventable unscheduled readmissions (PPURs)

PQI n PPUR rate (per 1,000 unscheduled readmissions§) Total length of stay for PPURs for each PQI (days) Average length of stay per PPUR (days) Total hospital cost for PPURs for each PQI ($) Average hospital cost per PPUR ($)

a b c d e f
TAPQ01 Diabetes Short-Term Complications 218 7.6 1,002.8 4.6 2,876,880.6 13,196.7
TAPQ05 COPD 412 14.4 2,018.8 4.9 5,406,264.0 13,122.0
TAPQ07 Hypertension 64 2.2 256.0 4.0 653,644.8 10,213.2
TAPQ08 CHF 2,618 91.4 13,613.6 5.2 37,432,425.8 14,298.1
TAPQ10 Dehydration 376 13.1 1,616.8 4.3 3,436,038.4 9,138.4
TAPQ11 Bacterial Pneumonia 947 33.1 5,303.2 5.6 14,432,469.4 15,240.2
TAPQ12 Urinary Tract Infection 704 24.6 3,238.4 4.6 7,445,715.2 10,576.3
TAPQ14 Uncontrolled Diabetes 93 3.2 427.8 4.6 998,475.9 10,736.3

Total 5,432 189.6 27,477.4 72,681,914.1
§

The number of total unscheduled readmissions in our sample was 28,649.’

Average length of stay (LOS) per PPUR (d) was calculated by dividing the sum of total LOS for PPURs for each of the eight PQI conditions listed in the second column (c) by the total number of PPUR cases with the condition (a).

Average hospital cost per PPUR (f) was calculated with the same logic using the average LOS: dividing the total hospital cost for PPURs for a certain PQI condition (e) by the total number of PPUR cases with the condition (a).