Others titles
- SIRs for Hospital Onset MRSA Bacteremia
- Standardized Infection Ratios for Hospital Onset MRSA Bacteremia
- HAI Progress Report 2013
Keywords
- Healthcare Associated Infections
- Hospital Onset MRSA Bacteremia
- Infections After Surgery
- Surgical Site Infections
- Superficial Infections
- Surgical Infection Guidelines
- Surgical Infection Facilities
Standardized Infection Ratios for Hospital Onset MRSA Bacteremia 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
MRSA is methicillin-resistant Staphylococcus aureus, a type of staph bacteria that is resistant to many antibiotics. In a healthcare setting, such as a hospital or nursing home, MRSA can cause severe problems such as bloodstream infections, pneumonia and surgical site infections. MRSA is usually spread by direct contact with an infected wound or from contaminated hands, usually those of healthcare providers. Also, people who carry MRSA but do not have signs of infection can spread the bacteria to others and potentially cause an infection.
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; Centre 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 MRSA Bacteremia, Infections After Surgery, Surgical Site Infections, Superficial Infections, Surgical Infection Guidelines, Surgical Infection Facilities |
Other Titles | SIRs for Hospital Onset MRSA Bacteremia, Standardized Infection Ratios for Hospital Onset MRSA Bacteremia, 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 |
Is_State_NHSN_Mandate | Indicates the presence or absence of a state mandate to report CAUTI data from any location to NHSN at the beginning of 2013. | boolean | - |
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 number of infections predicted. An SIR is only calculated for states in which at least 5 facilities reported MRSA bacteremia 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_MRSA | Percent of facilities with at least one predicted Hospital Onset MRSA Bacteremia that had an SIR significantly greater or less than the 2013 national Hospital Onset MRSA Bacteremia SIR of 0.917. This is only calculated if at least 10 facilities had at least one predicted Hospital Onset MRSA Bacteremia 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 MRSA Bacteremia in 2013. If a facility’s predicted number of Hospital Onset MRSA Bacteremia 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 MRSA Bacteremia in 2013. If a facility’s predicted number of Hospital Onset MRSA Bacteremia 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 MRSA Bacteremia in 2013. If a facility’s predicted number of Hospital Onset MRSA Bacteremia 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 MRSA Bacteremia in 2013. If a facility’s predicted number of Hospital Onset MRSA Bacteremia 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 MRSA Bacteremia in 2013. If a facility’s predicted number of Hospital Onset MRSA Bacteremia 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 | Is 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 MRSA | 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 | False | No | 11 | 2 | 9.857000000000001 | 0.203 | 0.034 | 0.67 | 3 | |||||||
Alabama | False | No | 93 | 294 | 207.703 | 1.415 | 1.26 | 1.584 | 38 | 26.0 | 0.0 | 0.0 | 0.665 | 1.124 | 1.6130000000000002 | 2.5869999999999997 |
Arkansas | True | Yes | 47 | 105 | 90.65 | 1.158 | 0.9520000000000001 | 1.396 | 21 | 5.0 | 0.0 | 0.38 | 0.627 | 1.1640000000000001 | 1.5119999999999998 | 1.8659999999999999 |
Arizona | False | No | 63 | 188 | 194.0 | 0.9690000000000001 | 0.838 | 1.115 | 35 | 9.0 | 3.0 | 0.0 | 0.5770000000000001 | 0.956 | 1.476 | 1.945 |
California | True | Yes | 359 | 701 | 954.1 | 0.735 | 0.682 | 0.7909999999999999 | 225 | 2.0 | 6.0 | 0.0 | 0.335 | 0.715 | 1.135 | 1.6280000000000001 |
Colorado | False | No | 56 | 71 | 95.37200000000001 | 0.7440000000000001 | 0.586 | 0.934 | 27 | 0.0 | 4.0 | 0.0 | 0.0 | 0.528 | 1.006 | 1.2 |
Connecticut | True | YesA | 32 | 110 | 147.868 | 0.7440000000000001 | 0.614 | 0.893 | 23 | 4.0 | 9.0 | 0.0 | 0.35600000000000004 | 0.5329999999999999 | 1.232 | 1.462 |
D.C. | True | Yes | 9 | 91 | 57.621 | 1.579 | 1.2790000000000001 | 1.93 | 8 | |||||||
Delaware | True | No | 8 | 43 | 35.759 | 1.202 | 0.8809999999999999 | 1.605 | 7 | |||||||
Florida | False | No | 190 | 853 | 767.622 | 1.111 | 1.0390000000000001 | 1.188 | 150 | 11.0 | 4.0 | 0.0 | 0.48100000000000004 | 0.946 | 1.5930000000000002 | 2.182 |