Others titles
- Standardized Infection Ratios for Hospital Onset Clostridium Difficile Infection
- SIRs for Hospital Onset CDI
- HAI Progress Report 2013
Keywords
- Healthcare Associated Infections
- Hospital Onset Clostridium Difficile Infections
- Infections After Surgery
- Surgical Site Infections
- Superficial Infections
- Surgical Infection Guidelines
- Surgical Infection Facilities
Standardized Infection Ratios for Hospital Onset CDI 2013
The Standardized Infection Ratio (SIR) is a statistic used to track healthcare associated infections (HAIs) over time, at a national, state, or facility level. The SIR compares the actual number of HAIs at each hospital, to the predicted number of infections. The predicted number is an estimate based on national baseline data, and it is risk adjusted. Risk adjustment takes into account that some hospitals treat sicker patients than others.
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Description
Clostridium difficile infection (CDI) is a common and sometimes fatal health-care–associated infection; the incidence, deaths, and excess health-care costs resulting from CDIs in hospitalized patients are all at historic highs. Meanwhile, the contribution of nonhospital health-care exposures to the overall burden of CDI, and the ability of programs to prevent CDIs by implementing CDC recommendations across a range of hospitals, have not been demonstrated previously.
The Standardized Infection Ratio (SIR) is a statistic used to track healthcare associated infections (HAIs) over time, at a national, state, or facility level. lower SIRs are better.
If the SIR is 1, then the number of actual infections is the same as the number of predicted infections.
If the SIR is less than 1, then the number of actual infections is less than the number of predicted infections.
If the SIR is greater than 1, then the number of actual infections is greater than the number of predicted infections.
Usually, a low SIR reflects the results of robust HAI prevention strategies. These scenarios are exciting, and CDC is working with facilities and states to learn and share best practices.
About this Dataset
Data Info
Date Created | 2015 |
---|---|
Last Modified | 2016-03-02 |
Version | 1 |
Update Frequency |
Annual |
Temporal Coverage |
N/A |
Spatial Coverage |
United States |
Source | John Snow Labs; Centers For Disease Control and Prevention (cdc.gov); |
Source License URL | |
Source License Requirements |
N/A |
Source Citation |
N/A |
Keywords | Healthcare Associated Infections, Hospital Onset Clostridium Difficile Infections, Infections After Surgery, Surgical Site Infections, Superficial Infections, Surgical Infection Guidelines, Surgical Infection Facilities |
Other Titles | Standardized Infection Ratios for Hospital Onset Clostridium Difficile Infection, SIRs for Hospital Onset CDI, HAI Progress Report 2013 |
Data Fields
Name | Description | Type | Constraints |
---|---|---|---|
State | Name of U.S. State, Washington, D.C., and Puerto Rico | string | required : 1 |
State_NHSN_Mandate | Yes indicates the presence of a state mandate to report CAUTI data from any location to NHSN at the beginning of 2013. Mid-year Implementation indicates that no state mandate existed at the beginning of the reporting period, but was implemented during the reporting period. | string | - |
Any_Validation | Indicates that whether the state health department reported the completion of all validation activities. The Values are "Yes", "No" and "YesA". "YesA" indicates that the state also conducted an audit of facility medical or laboratory records prior to July 1, 2014 to confirm proper case ascertainment. | string | - |
Facilities_Reporting | Identifies the number of facilities reporting in the state. | integer | level : Ratiorequired : 1 |
Infections_Observed | Identifies the total number of infections observed in the state for the year 2013. | integer | level : Ratio |
Infections_Predicted | Identifies the total number of infections predicted in the state for the year 2013. | number | level : Ratio |
SIR | Standardized Infection Ratio which is the ratio of Number of infections observed to no. of infections predicted. An SIR is only calculated for states in which at least 5 facilities reported CDI data in 2013. | number | level : Ratio |
Ninety_Five_Percent_CI_for_SIR_Lower | A 95% CI assesses the magnitude and stability of an SIR. Specifically, a 95% CI is the range of estimated SIR values that has a 95% probability of including the true SIR for the population. A confidence interval (CI) is calculated around an SIR to determine how likely it is that the number of observed number of cases is high or low by chance. | number | level : Ratio |
Ninety_Five_Percent_CI_for_SIR_Upper | A 95% CI assesses the magnitude and stability of an SIR. Specifically, a 95% CI is the range of estimated SIR values that has a 95% probability of including the true SIR for the population. A confidence interval (CI) is calculated around an SIR to determine how likely it is that the number of observed number of cases is high or low by chance. | number | level : Ratio |
Facility_Specific_SIRs_Facilities_With_Atleast_1_Predicted_HO_CDI | Percent of facilities with at least one predicted Hospital Onset CDI that had an SIR significantly greater or less than the 2013 national Hospital Onset CDI SIR of 0.904. This is only calculated if at least 10 facilities had at least one predicted Hospital Onset CDI in 2013. | integer | level : Ratio |
Percent_of_Facs_With_SIR_Sig_Higher_Than_National_SIR | Identifies the number of facilities having SIR greater than national SIR. | integer | level : Ratio |
Percent_of_Facs_With_SIR_Sig_Lower_Than_National_SIR | Identifies the number of facilities having SIR lower than national SIR. | integer | level : Ratio |
Key_Percentiles_10_Percent | Facility-specific key percentiles were only calculated if at least 20 facilities had ≥1.0 predicted Hospital Onset CDI in 2013. If a facility’s predicted number of Hospital Onset CDI was <1.0, a facility-specific SIR was neither calculated nor included in the distribution of facility-specific SIRs. | number | level : Ratio |
Key_Percentiles_25_Percent | Facility-specific key percentiles were only calculated if at least 20 facilities had ≥1.0 predicted Hospital Onset CDI in 2013. If a facility’s predicted number of Hospital Onset CDI was <1.0, a facility-specific SIR was neither calculated nor included in the distribution of facility-specific SIRs. | number | level : Ratio |
Key_Percentiles_50_Percent | Facility-specific key percentiles were only calculated if at least 20 facilities had ≥1.0 predicted Hospital Onset CDI in 2013. If a facility’s predicted number of Hospital Onset CDI was <1.0, a facility-specific SIR was neither calculated nor included in the distribution of facility-specific SIRs. | number | level : Ratio |
Key_Percentiles_75_Percent | Facility-specific key percentiles were only calculated if at least 20 facilities had ≥1.0 predicted Hospital Onset CDI in 2013. If a facility’s predicted number of Hospital Onset CDI was <1.0, a facility-specific SIR was neither calculated nor included in the distribution of facility-specific SIRs. | number | level : Ratio |
Key_Percentiles_90_Percent | Facility-specific key percentiles were only calculated if at least 20 facilities had ≥1.0 predicted Hospital Onset CDI in 2013. If a facility’s predicted number of Hospital Onset CDI was <1.0, a facility-specific SIR was neither calculated nor included in the distribution of facility-specific SIRs. | number | level : Ratio |
Data Preview
State | State NHSN Mandate | Any Validation | Facilities Reporting | Infections Observed | Infections Predicted | SIR | Ninety Five Percent CI for SIR Lower | Ninety Five Percent CI for SIR Upper | Facility Specific SIRs Facilities With Atleast 1 Predicted HO CDI | Percent of Facs With SIR Sig Higher Than National SIR | Percent of Facs With SIR Sig Lower Than National SIR | Key Percentiles 10 Percent | Key Percentiles 25 Percent | Key Percentiles 50 Percent | Key Percentiles 75 Percent | Key Percentiles 90 Percent |
Alaska | No | No | 11 | 105 | 142.82 | 0.735 | 0.604 | 0.8859999999999999 | 11 | 0.0 | 36.0 | |||||
Alabama | No | No | 93 | 1326 | 2091.73 | 0.634 | 0.601 | 0.669 | 83 | 1.0 | 40.0 | 0.0 | 0.0 | 0.452 | 0.762 | 0.9179999999999999 |
Arkansas | Yes | Yes | 47 | 578 | 919.33 | 0.629 | 0.579 | 0.682 | 46 | 0.0 | 35.0 | 0.0 | 0.185 | 0.402 | 0.836 | 1.156 |
Arizona | No | No | 62 | 2126 | 2120.4 | 1.003 | 0.961 | 1.046 | 54 | 26.0 | 20.0 | 0.0 | 0.542 | 0.8959999999999999 | 1.157 | 1.656 |
California | Yes | Yes | 359 | 10543 | 10050.13 | 1.0490000000000002 | 1.0290000000000001 | 1.069 | 325 | 25.0 | 11.0 | 0.21899999999999997 | 0.638 | 0.935 | 1.275 | 1.649 |
Colorado | No | No | 55 | 1201 | 1144.65 | 1.0490000000000002 | 0.991 | 1.11 | 48 | 27.0 | 13.0 | 0.312 | 0.46299999999999997 | 0.8909999999999999 | 1.2930000000000001 | 1.771 |
Connecticut | Yes | Yes | 32 | 1461 | 1442.3 | 1.013 | 0.9620000000000001 | 1.0659999999999998 | 32 | 25.0 | 13.0 | 0.305 | 0.706 | 1.025 | 1.171 | 1.46 |
D.C. | No | Yes | 7 | 432 | 492.39 | 0.877 | 0.797 | 0.963 | 7 | |||||||
Delaware | Yes | No | 8 | 378 | 361.38 | 1.046 | 0.9440000000000001 | 1.156 | 8 | |||||||
Florida | No | No | 190 | 7280 | 8204.12 | 0.887 | 0.867 | 0.9079999999999999 | 184 | 16.0 | 20.0 | 0.382 | 0.595 | 0.8590000000000001 | 1.101 | 1.416 |