Eliminating CAUTI: Interim Data Report

Results

Types of Hospitals Represented

There are 861 registered hospitals participating in the initiative as of July 15, 2013. These hospitals are located in 37 States, the District of Columbia, and Puerto Rico and have been recruited by 39 sponsors (37 State hospital associations, plus Puerto Rico and UHC's HEN; Figure 2). To assess hospital characteristics for cohorts 1–6, participating hospital data were linked to the annual AHA 2010 National Survey results. Hospitals not participating in the AHA survey (n=44) were excluded from analyses examining hospital characteristics.
 

Figure 2. Sponsor State Hospital Associations and Hospitals Registered in the Projecta,b,c

A map of the United States shows the locations of Sponsor State Hospital Associations and Hospitals Registered in the Project. As of July 2013, the following states have sponsored hospitals registered in the project: Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Florida, Georgia, Hawaii, Illinois, Indiana, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nebraska, Nevada, New Jersey, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Puerto Rico, South Carolina, South Dakota, Texas, Utah, Washington, West Virginia, Wisconsin.

a The work on which this project is based originated in Michigan, the project development State.
b The State of Washington does not disclose names of participating hospitals.
c Map includes all available hospitals and States (including cohort 6) registered in the Care Counts system as of July 15th, 2013. Units sponsored by missing AHA Survey data are not shown.

 

The majority of participating hospitals are categorized as having between 26 and 175 total hospital beds (44.9%; n=367), a finding similar to the AHA National Survey data (51%; n=3,201). On average, participating hospitals have 185 beds (median = 117; standard deviation [SD] = 204; Min = 6; Max = 1,597), a slightly larger number of beds than the AHA National Survey average of 154 (median = 87; SD = 184; Min = 1; Max = 2,261). Additional characteristics of participating hospitals, including comparisons to national data, are shown in Table 3.

Table 3. Characteristics of Registered Hospitals for Cohorts 1–6 (n=817)a as Compared With Like Hospital Data From the AHA National Survey

Category Registered Hospitalsb
(n=817)
National Hospitalsc
(n=6,334)
n % N %
Bed Size Category
1–25 138 16.9% 1,249 19.7%
26–175 367 44.9% 3,201 50.5%
176–325 174 21.3% 1,064 16.8%
326–475 73 8.9% 455 7.2%
>475 65 8.0% 365 5.8%
Hospital Type
System 426 52.1% 3,669 57.9%
Rural 333 40.8% 2,226 35.1%
Teaching 239 29.3% 1,543 24.4%
Critical Access 183 22.4% 1,315 20.8%
In Top 100 Largest
Cities
112 13.7% 1,143 18.0%

a. Represents the total number of hospitals registered in the project that could be linked to their AHA 2010 National Survey results.
b. Forty-four hospitals could not be linked to their AHA 2010 National Survey results and were excluded.
c. Represents the total number of hospitals included in the AHA 2010 National Survey results.

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Types of Units Represented

Figure 3 depicts the types of units registered in the project (n=1,366 registered units). More than 60 percent of the registered units are non-ICUs, with the majority of these being medical/surgical units (38%).

Figure 3. Types of Units Registered in the Project

A pie chart shows the types of units registered. 32 percent are non-ICU med/surg units, 26 percent are med/surg ICUs, and 18 percent are non-ICU surgical units. The remaining 24 percent are divided as follows: non-ICU medical units (6 percent), non-ICU surgical units (2 percent), non-ICU neuro (1 percent), non-ICU peds (1 percent), surgical ICU (5 percent), medical ICU (4 percent), other ICU (3 percent), NICU/PICU (1 percent), and units categorized as 'other' (1 percent).

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Data Submission

Within each State, there is some variation in the lag time between the data collection period and the actual data submission date. The majority of units are entering data directly into Care Counts; therefore their data are submitted within 45 days immediately following the data collection period; however, the remaining units submit data through the State leads after retrieval from another system, such as CDC's NHSN, which can result in up to a three-month lag in their submission. Table 4 presents the outcome data submission rates by cohort as of July 15, 2013, for all expected measurement periods across all units not formally withdrawn from the initiative.

Table 4. Outcome Data Submission by Cohort

Cohort Baseline Collection Periods Post-Baseline Collection Periods
1 2 3 1 2 3 4 5 6
1 80% 79% 77% 77% 77% 76% 30% 66% 15%
2 86% 85% 87% 86% 81% 77% 71% 65% 56%
3 98% 98% 98% 96% 96% 93% 90% 81% 61%
4 96% 96% 95% 94% 91% 83% 51%    
5 91% 91% 90% 84% 54%        
Total 93% 93% 92% 91% 86% 84% 65% 73% 54%

 

One hundred seventy-two units have formally withdrawn from the project and are not included in the analyses. Table 5 shows units withdrawn by cohort. Emergency departments (EDs) and post-acute care units were also excluded from outcome analyses, as these units do not incur patient or device days.

Table 5. Units Formally Withdrawn From the Project by Cohort

Cohort Regis-
tered
Units
# of
Units
Formally
With-
drawn
% of
Units
Formally
With-
drawn
Post-Baseline Collection Period
(Number of Units Formally Withdrawn)
1 2 3 4 5 6
1 74 3 4.1% 1   2      
2 319 67 21.0% 34 4 14 14   1
3 324 44 13.6% 10 17 3 4 8 2
4 484 37 7.6% 13 14 9 1    
5 128 20 15.6% 6 14        
Totals 1,329 171 12.9% 64 49 28 19 8 3

 

Additionally, submission of at least one baseline and one post-baseline data point is required for inclusion in outcomes analyses, and missing data totals for these analyses are reflected in Table 6. A total of 1,051 remaining units met the inclusion criteria for analysis. Due to the inconsistency of missing data within each of the data collection periods, these 1,051 units reflect the total number of unique units represented in analyses for all tables and graphs below and do not reflect a sum of the units across all time periods. Analyses to assess the effect of cohort participation and missing data on these key measures are ongoing.

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Page last reviewed July 2013
Internet Citation: Results. July 2013. Agency for Healthcare Research and Quality, Rockville, MD. http://www.ahrq.gov/professionals/quality-patient-safety/cusp/cauti-interim/cauti-interim4.html