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Table 3a. State-specific Standardized Infection Ratios (SIRs) and facility-specific SIR summary measures, NHSN facilities reporting during 2011:
Central Line–associated Bloodstream Infections (CLABSI), All Locations 1

The Central Line–associated Blood Stream Infections (CLABSI) Score is reported using a Standardized Infection Ratio (SIR). This calculation compares the number of central line infections in a hospital’s intensive care unit to a national benchmark based on data reported to NHSN from 2006 – 2008. The result is adjusted based on certain factors such as the type and size of a hospital or ICU.

  • A score of less than 1 means that the hospital had fewer CLABSIs than hospitals of similar type and size.
  • A score of 1 means the hospital's CLABSI score was no different than hospitals of similar type and size.
  • A score of more than 1 means the hospital had more CLABSIs than hospitals of similar type and size.

Lower numbers are better. A score of zero (0) – meaning no CLABSIs – is best.

State State NHSN Mandate2 Any Validation3 No. of Facilities Reporting No. of Infections

SIR   95% CI for SIR  

Facility–specific SIRs at Key Percentiles4
Observed Predicted Lower Upper 10% 25% Median (50%) 75% 90%
Alabama Yes Yes 77 342 492.973 0.694 0.622 0.771 0.097 0.212 0.636 0.889 1.698
Alaska     9 27 37.712 0.716 0.472 1.042 . . . . .
Arizona     58 270 469.599 0.575 0.508 0.648 0.000 0.000 0.395 0.679 0.965
Arkansas Yes Yes 47 151 313.916 0.481 0.407 0.564 0.000 0.000 0.395 0.679 0.965
California Yes Yesa 350 2,806 4,963.174 0.565 0.545 0.587 0.000 0.179 0.457 0.839 1.296
Colorado Yes Yes 51 213 363.025 0.587 0.511 0.671 0.000 0.206 0.404 0.783 0.963
Connecticut Yes Yesa 30 159 253.459 0.627 0.534 0.733 0.000 0.256 0.517 0.904 1.309
Delaware Yes Yesa 8 50 93.553 0.534 0.397 0.705 . . . . .
Dist. of Columbia Yes Yesa 8 117 168.799 0.693 0.573 0.831 . . . . .
Florida     187 1,048 1,939.236 0.540 0.508 0.574 0.000 0.170 0.457 0.755 1.151
Georgia     104 693 848.860 0.816 0.757 0.880 0.000 0.359 0.603 0.939 1.299
Hawaii Yes   15 21 81.440 0.258 0.160 0.394 . . . . .
Idaho     12 25 58.433 0.428 0.277 0.632 . . . . .
Illinois Yes Yesa 149 623 1,050.639 0.593 0.547 0.641 0.000 0.000 0.451 0.896 1.384
Indiana     88 411 708.300 0.580 0.526 0.639 0.000 0.000 0.348 0.508 0.885
Iowa     40 71 128.037 0.555 0.433 0.699 0.000 0.000 0.000 0.258 0.800
Kansas   Yes 43 94 216.413 0.434 0.351 0.532 . . . . .
Kentucky     71 249 346.779 0.718 0.632 0.813 0.000 0.000 0.382 0.829 0.921
Louisiana     73 298 409.713 0.727 0.647 0.815 0.000 0.086 0.649 0.956 1.400
Maine     22 96 97.054 0.989 0.801 1.208 . . . . .
Maryland Yes Yesa 47 297 443.061 0.670 0.596 0.751 0.000 0.144 0.462 0.944 1.489
Massachusetts Yes Yes 68 320 569.091 0.562 0.502 0.627 0.000 0.000 0.503 0.792 1.100
Michigan     94 317 875.392 0.362 0.323 0.404 0.000 0.029 0.221 0.495 0.777
Minnesota     50 104 257.782 0.403 0.330 0.489 0.000 0.160 0.300 0.436 0.655
Mississippi     43 178 293.906 0.606 0.520 0.701 0.000 0.313 0.524 0.690 1.347
Missouri     76 256 546.609 0.468 0.413 0.529 0.000 0.000 0.298 0.651 0.852
Montana     12 24 58.859 0.408 0.261 0.607 . . . . .
Nebraska     19 129 211.439 0.610 0.509 0.725 . . . . .
Nevada Yes Yesa 23 299 518.123 0.577 0.514 0.646 . . . . .
New Hampshire Yes Yes 24 35 54.651 0.640 0.446 0.891 . . . . .
New Jersey Yes Yes 72 422 579.844 0.728 0.660 0.801 0.000 0.337 0.632 1.122 1.697
New Mexico   Yesa 30 83 158.810 0.523 0.416 0.646 . . . . .
New York Yes Yesa 177 1,626 1,943.724 0.837 0.796 0.878 0.281 0.446 0.781 1.100 1.720
North Carolina   Yesa 93 511 894.276 0.571 0.523 0.623 0.000 0.000 0.394 0.716 0.899
North Dakota     6 21 56.270 0.373 0.231 0.571 . . . . .
Ohio     134 542 1,147.145 0.472 0.434 0.514 0.000 0.134 0.353 0.667 0.981
Oklahoma Yes Yesa 54 194 377.196 0.514 0.444 0.592 0.000 0.134 0.353 0.667 0.981
Oregon Yes Yes 44 75 195.277 0.384 0.302 0.481 0.000 0.000 0.228 0.451 0.857
Pennsylvania Yes Yes 177 1,256 2,590.605 0.485 0.458 0.512 0.000 0.197 0.422 0.728 1.098
Puerto Rico     19 198 140.632 1.408 1.219 1.618 . . . . .
Rhode Island     11 52 73.210 0.710 0.530 0.931 . . . . .
South Carolina Yes Yesa 66 538 761.846 0.706 0.648 0.768 0.139 0.351 0.608 0.912 1.563
South Dakota     13 29 65.442 0.443 0.297 0.636 . . . . .
Tennessee Yes Yes 96 652 932.237 0.699 0.647 0.755 0.000 0.317 0.546 1.026 1.389
Texas Yes   266 1,073 1,919.930 0.559 0.526 0.593 0.000 0.000 0.427 0.808 1.187
Utah Yes   25 113 167.951 0.673 0.554 0.809 . . . . .
Vermont     8 6 24.388 0.246 0.090 0.535 . . . . .
Virginia Yes Yes 81 447 638.340 0.700 0.637 0.768 0.000 0.223 0.495 1.008 1.398
Washington Yes Yesa 62 178 373.103 0.477 0.410 0.553 0.000 0.093 0.303 0.642 1.022
West Virginia Yes   39 113 245.591 0.460 0.379 0.553 0.000 0.000 0.141 0.590 1.071
Wisconsin   Yesa 78 258 449.368 0.574 0.506 0.649 0.000 0.000 0.141 0.590 1.071
Wyoming     19 3 10.336 0.289 0.060 0.846 . . . . .
All US     3,468 18,113 30,615.577 0.592 0.583 0.600 0.000 0.171 0.469 0.825 1.280

Footnotes for Table 3a:

  1. Data from all ICUs, wards (and other non-critical care locations), and NICUs. This excludes LTAC locations (or facilities) and inpatient rehabilitation locations (or facilities).
  2. Yes indicates the presence of a state mandate to report CLABSI data from any ICU to NHSN at the beginning of 2011
  3. Yes indicates that the state health department reported the completion of either or both of the following validation studies of NHSN CLABSI data reported from any ICU during the reporting period: data quality assessment of missing or implausible values along with state health department followup with identified facilities, and detection of outlier facilities along with state health department followup with identified facilities.
    Yesa indicates that the state completed one or both of these activities and also conducted an audit of medical records. Information on validation efforts was requested from all states, regardless of the presence of a legislative mandate for the particular HAI type and location. Some states without mandatory reporting of a given HAI to the state health department have performed validation on NHSN data that is voluntarily shared with them by facilities.
  4. Facility-specific key percentiles were only calculated if ≥20 facilities had ≥1.0 predicted HAI during the reporting period. If a single facility’s predicted number of HAIs (e.g., CLABSI) was ‹1.0, a facility-specific SIR was neither calculated nor included in the determinations of the distribution of facility-specific SIRs.

 

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