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Prospective Payment System (PPS)-Exempt Cancer Hospital Quality Reporting

30-Day Post-Operative Colon Surgery (COLO) and Abdominal Hysterectomy (HYST) Surgical Site Infection (SSI) Standardized Infection Ratio (SIR)

CMS Measures Inventory Tool (CMIT) ID
00001-02-C-PCHQR
Steward Organization Group
Centers for Disease Control and Prevention
Committee
MSR Recommendation Group
    Measure Overview
      Use in CMS Programs
      CMS Program History
      • Finalized for inclusion in the PCHQR Program in 2013.
      • Implemented in the PCHQR Program in 2014. 
      Description

      Annual risk-adjusted standardized infection ratio (SIR) of observed over predicted deep incisional primary and organ/space surgical site infections (SSIs), over a 30-day post-operative surveillance period, among hospitalized adults who are >=18 year of age with a date of admission and date of discharge that are different calendar days, and the patient underwent a colon surgery (COLO) or abdominal hysterectomy (HYST) at an acute care hospital or oncology hospital.  The 30-day postoperative surveillance period includes SSIs detected upon admission to the facility or a readmission to the same facility or a different facility (other than where the procedure was performed) and via post-discharge surveillance.

      Numerator

      Number of annually observed hospitalized patients who are >=18 years of age with a date of admission and date of discharge that are different calendar days, and the patient underwent a colon surgery (COLO) or abdominal hysterectomy (HYST) and developed a deep incisional primary or organ/space surgical site infection (SSI) within the 30-day postoperative surveillance period.  The 30-day postoperative surveillance period includes SSIs detected upon admission to the facility or a readmission to the same facility or a different facility (other than where the procedure was performed) and via post-discharge surveillance.

      Numerator Exclusions

      N/A

      Numerator Exceptions

      N/A

      Denominator

      Number of annually predicted hospitalized patients who are >=18 years of age with a date of admission and date of discharge are different calendar days, and the patient underwent a colon surgery (COLO) or abdominal hysterectomy (HYST)  and developed a deep incisional primary or organ/space surgical site infection (SSI) within the 30-day post-operative surveillance period. The 30-day postoperative surveillance period includes SSIs detected upon admission to the facility or a readmission to the same facility or a different facility (other than where the procedure was performed) and via post-discharge surveillance.

      Denominator Exclusions
      • Procedures that develop a postoperative surgical site infection (SSI) and the infection is present at the time of surgery (PATOS), the SSI event and surgical procedure are excluded  
      • ASA class VI 
      • Patients whose admission date and discharge date are the same day.  
      • Patients <18 years of age 
      • Patients >= 109 years of age 
      • Adult patients, >=18 years of age, BMI is less than 12 or greater than 60 
      • Procedures reported in patients with sex reported as Other are excluded from the SSI SIR  
      • Surgical procedure duration less than 5 minutes or exceeding the IQR5 value 
      Denominator Exceptions

      N/A

      Cascade of Meaningful Measures Priority
      Measure Type
      Outcome
      Level of Analysis
      Facility
      Care Setting
      PPS-Exempt Cancer Hospital
      Hospital: Inpatient
      Hospital: Outpatient
      CBE Endorsement Status
      Endorsed
      CBE Endorsement History

      Endorsement History: Endorsed with conditions in 2012 and endorsement retained during maintenance review in 2025. 

      Link to Endorsement Measure Record: 30-Day Post-Operative Colon Surgery (COLO) and Abdominal Hysterectomy (HYST) Surgical Site Infection (SSI) Standardized Infection Ratio (SIR)

        About this Analysis (Measure Score by PY)

        Impact Summary: This measure supports the PCHQR Program’s objectives by providing transparent, standardized infection ratio data that empowers consumers to make informed health care decisions and motivates hospitals and clinicians to focus on quality improvement and adherence to best practices in inpatient care for Medicare beneficiaries. 

        Analysis of measure performance over the past 4 years is impacted by the small number of PCHQR hospitals available to report on this measure, rather than low participation among a large eligible group. 

        With only seven entities per year in Figure 1a and eight in Figure 1b, distinguishing true trends from random variation is difficult, and little discernable change is observed across the 4 years. Tables 1a and 1b demonstrate potential improvements that translate to a reduction in surgical site infections of fewer than three eligible patients per entity.

        For this measure, Battelle reviewed the following publicly available datasets available at Hospitals data archive | Provider Data Catalog:

        • Hospitals_02_2026.zip (which contains data from April 2024-March 2025 and is referred to as year 2024 in this assessment)
        • Hospitals_02_2025.zip (which contains data from April 2023-March 2024 and is referred to as year 2023 in this assessment)
        • Hospitals_01_2024.zip (which contains data from April 2022-March 2023 and is referred to as year 2022 in this assessment)
        • Hospitals_01_2023.zip (which contains data from April 2021-March 2022 and is referred to as year 2021 in this assessment)

        Battelle analyzed all values for “PCH_6” and “PCH_7” not marked as “Not Available” from the corresponding PCH_HEALTHCARE_ASSOCIATED_INFECTIONS_HOSPITAL.csv file.

         

        About Figure 1a and 1b: Figures 1a and 1b are boxplots that show how scores have changed based on the most recent 4 years of data available. For each year, the boxplot displays a box with lines and dots to help visualize the range and distribution of scores. The dots represent the points where the lowest 5% and highest 5% of scores fall, and the line connecting them shows where 90% of the scores are located. The box itself covers the middle half of the scores, from the 25th to the 75th percentile. Inside the box, a horizontal line marks the median score, which is the middle value, while a “+” sign shows the average score. This type of graph makes overall trends in scores over time as well as the consistency and spread of the results easier to understand.

        Figure 1 (Measure Score by PY)
        boxplot

        Figure 1a. Boxplot of Measure Score by Year (Colon Surgery)

         

        Figure 1b. Boxplot of Measure Score by Year (Abdominal Hysterectomy)

        Interpretation (Measure Score by PY)

        Figure 1a and 1b Interpretation: In Figure 1a, each year includes data from only seven entities, while Figure 1b includes eight entities per year. Because of this small sample size, any trends observed over the 4 years could be due to random variation rather than meaningful change. Overall, the limited number of PPS-exempt cancer hospitals participating and reporting in this program makes analyzing overall performance trends difficult. For this measure, lower scores reflect higher quality of care.

        About this Analysis (Score Distro)

        About Table 1a and 1b: Tables 1a and 1b illustrate the distribution of scores (SIRs), raw rates, and the number of patients represented within each entity. It is important to note that the entities with the lowest or highest scores may contain more or fewer patients than other entities. For example, if the lowest-scoring entity includes only 5% of the total patient population, then smaller entity size may be associated with lower performance scores.

        Table 1 (Score Distro)

        Table 1a. Importance (Entity by Measure Score, FY2024) Colon Surgery in the Most Recent Year of Data Available

         OverallEntity 1Entity 2Entity 3Entity 4Entity 5Entity 6Entity 7
        Average SIR (Standard Deviation)0.764 (0.184)0.5740.5520.6440.7320.9070.9510.991
        Average Raw Rate (Standard Deviation) 3.55 (0.82)2.682.683.083.214.224.474.50
        Entities71111111
        Patients3,8404867844554672841,164200

         

        Table 1b. Importance (Entity by Measure Score, FY2024) Abdominal Hysterectomy in the Most Recent Year of Data Available

         OverallEntity 1Entity 2Entity 3Entity 4Entity 5Entity 6Entity 7Entity 8
        Average SIR (Standard Deviation)0.471 (0.231)N/A0.2570.2600.3180.4230.5930.5470.898
        Average Raw Rate (Standard Deviation) 0.599 (0.388)00.3760.3880.4460.6310.8260.8401.283
        Entities811111111
        Patients2,56132662582243172422381,013



         

        Interpretation (Score Distro)

        Table 1a and Table 1b Interpretation: Note that there are data for only seven entities for Table 1a and eight entities for Table 1b. To estimate the number of negative outcomes (surgical site infections), the number of patients is multiplied by the average raw rate for each entity. 

         

        The total estimated number of negative outcomes across all entities for Table 1a is about 140. If the average performance of the lowest two entities (2.68%) is considered a plausible, achievable rate, and the other five entities improved to reach that rate, about 30 fewer colon surgery patients would experience surgical site infections. This translates to about four patients per entity and could mean that improving performance on this measure could help ensure that fewer colon surgery patients would contract surgical site infections, potentially leading to better health outcomes. 

         

        The total estimated number of negative outcomes (surgical site infections) across all entities for Table 1b is about 22. If all entities reduced the rate to 0%, 22 fewer abdominal hysterectomy patients would experience surgical site infections. This translates to less than three eligible patients per entity. 

          Importance Criterion Definition

          The Meaningfulness criterion will be evaluated as part of the full Preliminary Assessment available in September. 

            Criterion Definition

            This criterion will be evaluated as part of the full Preliminary Assessment available in September. 

              Criterion Definition

              This criterion will be evaluated as part of the full Preliminary Assessment available in September. 

              PA Type
              Performance and Impact Analysis (PIA)

              Adjuvant chemotherapy is recommended, or administered within 4 months (120 days) of diagnosis for patients under the age of 80 with AJCC Stage III (lymph node positive) colon cancer

              Percentage of patients, age = 18 and < 80 at diagnosis, who have their first diagnosis of cancer (epithelial malignancy) that is lymph node positive and at AJCC stage III, whose primary tumor is of the colon and chemotherapy was recommended or administered within 4 months (120 days) of diagnosis

              CBE ID
              0223

              Adjuvant hormonal therapy is recommended or administered within 1 year (365 days) of diagnosis for women with AJCC T1cN0M0 or Stage IB – Stage III hormone receptor positive breast cancer

              Percentage of female patients, age = 18 at diagnosis, who have their first diagnosis of cancer (epithelial malignancy), at AJCC T1cN0M0 or stage IB to IIIC, whose primary tumor is of the breast, and is progesterone or estrogen receptor positive with adjuvant hormonal therapy (recommended or administered) within 1 year (365 days) of diagnosis

              CBE ID
              0220

              Advance Care Planning (ACP)

              Percentage of patients aged 18 years and older at the start of the measurement period with one or more inpatient encounters during the measurement period who have an advance care planning document or documentation of an advance care planning discussion resulting in a documented decision in the electronic health record (EHR) by the time of hospital discharge for at least one hospital encounter during the measurement period.  

              Catheter-Associated Urinary Tract Infection (CAUTI) Standardized Infection Ratio

              CMS Measures Inventory Tool (CMIT) ID
              00459-01-C-PCHQR
              Steward Organization Group
              Centers for Disease Control and Prevention
              Committee
              MSR Recommendation Group
                Measure Overview
                  Use in CMS Programs
                  CMS Program History
                  • Finalized for inclusion in the PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) Program in 2012. 
                  • Implemented in the PCHQR Program in 2013.
                  • Also active in the Inpatient Rehabilitation Facility Quality Reporting Program and the Long-Term Care Hospital Quality Reporting Program.
                  Description

                  Annual risk-adjusted standardized infection ratio (SIR) of catheter-associated urinary tract infections (CAUTI) among adults and children hospitalized as inpatients at acute care hospitals, critical access hospitals, oncology hospitals, long-term acute care hospitals, and acute care rehabilitation hospitals. SIR is reported annually and is calculated by dividing the number of observed CAUTIs by the number of predicted CAUTIs.   

                  Numerator

                  Number of annually observed catheter-associated urinary tract infections (CAUTI) in hospital inpatients.   

                  Numerator Exclusions

                  N/A

                  Numerator Exceptions

                  N/A

                  Denominator

                  Number of annually predicted catheter-associated urinary tract infections (CAUTI) in hospital inpatients.  

                  Denominator Exclusions

                  The following are not considered indwelling catheters by NHSN definitions:

                  • Suprapubic catheters
                  • Condom catheters
                  • “In and out” catheterizations
                  • Nephrostomy tubes
                  • Ileoconduits 
                  Denominator Exceptions

                  N/A

                  Cascade of Meaningful Measures Priority
                  Measure Type
                  Outcome
                  Level of Analysis
                  Facility
                  Care Setting
                  Hospital: Inpatient Acute Care Facility
                  PPS-Exempt Cancer Hospital
                  Inpatient Rehabilitation Facility
                  Long-Term Acute Care Facility
                  CBE Endorsement Status
                  Endorsed with Conditions
                  CBE Endorsement History

                  Endorsement History: 

                  • Initial endorsement, 2012.
                  • New measure endorsed with conditions Spring 2025. 

                  Link to Endorsement Measure Record: National Healthcare Safety Network (NHSN) Catheter-Associated Urinary Tract Infection (CAUTI) Outcome Measure

                    About this Analysis (Measure Score by PY)

                    Impact Summary: This measure aligns with Prospective Payment System-Exempt Cancer Hospital Quality Reporting (PCHQR) Program goals by delivering outcome-based, facility-level data to inform consumer choice and promote accountability. It encourages hospitals and clinicians to improve inpatient care for Medicare beneficiaries by tracking and reporting best practices across varied care settings. 

                    Performance change over time was difficult to assess as only 11 entities reported on this measure during the years assessed. Drawing from Table 1, if all hospitals improved their infection rates to match the average score found in Decile 3, there could be about 50 fewer CAUTI infections overall. On average, each hospital would see four fewer patients affected. Improving performance to achieve this average could help more patients avoid infections and lead to better health outcomes.

                    For this measure, Battelle reviewed the following publicly available datasets available at Hospitals data archive | Provider Data Catalog:

                    • Hospitals_02_2026.zip (which contains data from April 2024-March 2025 and is referred to as year 2024 in this assessment)
                    • Hospitals_02_2025.zip (which contains data from April 2023-March 2024 and is referred to as year 2023 in this assessment)
                    • Hospitals_01_2024.zip (which contains data from April 2022-March 2023 and is referred to as year 2022 in this assessment)
                    • Hospitals_01_2023.zip (which contains data from April 2021-March 2022 and is referred to as year 2021 in this assessment)

                    Battelle analyzed all values for “PCH_5” not marked as “Not Available” from the corresponding PCH_HEALTHCARE_ASSOCIATED_INFECTIONS_HOSPITAL.csv file.

                     

                    About Figure 1: Figure 1 is a boxplot that shows how scores have changed based on the most recent 4 years of data available. For each year, the boxplot displays a box with lines and dots to help visualize the range and distribution of scores. The dots represent the points where the lowest 5% and highest 5% of scores fall, and the line connecting them shows where 90% of the scores are located. The box itself covers the middle half of the scores, from the 25th to the 75th percentile. Inside the box, a horizontal line marks the median score, which is the middle value, while a “+” sign shows the average score. This type of graph makes overall trends in scores over time as well as the consistency and spread of the results easier to understand.

                    Figure 1 (Measure Score by PY)
                    boxplot

                     

                    Figure 1. Boxplot of Measure Score by Year

                    Interpretation (Measure Score by PY)

                    Figure 1 Interpretation: There are only 11 entities per year, so any apparent trend may just as likely be attributed to random error, indicating little discernible change across the 4 years. For this measure, a lower score indicates better quality of care.

                    About this Analysis (Score Distro)

                    About Table 1: Table 1 illustrates the distribution of scores (standardized infection ratio [SIR]), raw rates, and the number of patients represented within each group. It is important to note that the groups (referred to as deciles, each comprising 10% of the organizations) with the lowest or highest scores may contain more or fewer patients than other groups. For example, if the lowest-scoring decile includes only 5% of the total patient population, then smaller entity size may be associated with lower performance scores.

                    Table 1 (Score Distro)

                    Table 1. Importance in the Most Recent Year of Data Available (Decile by Measure Score, FY2024) 

                     OverallDecile 1Decile 2Decile 3Decile 4Decile 5Decile 6Decile 7Decile 8Decile 9Decile 10
                    Average SIR (Standard Deviation)

                    0.851 (0.361)

                    N/A

                    0.260

                    0.574

                    0.729

                    0.654

                    0.906

                    1.223

                    1.216

                    1.248

                    N/A

                    Average Raw Rate (Standard Deviation)

                    0.102 (0.114)

                    0

                    0.032

                    0.050

                    0.066

                    0.072

                    0.081

                    0.122

                    0.138

                    0.147

                    0.410

                    Entities

                    11

                    2

                    1

                    1

                    1

                    1

                    1

                    1

                    1

                    1

                    1

                    Patients

                    119,667

                    974

                    21,860

                    2,017

                    31,633

                    12,421

                    12,326

                    4,911

                    11,564

                    21,717

                    244



                     

                    Interpretation (Score Distro)

                    Table 1 Interpretation: Note that there are data for only 11 entities, and that the SIR is not available (N/A) for three of them due to an expected value less than 1. To estimate the number of negative outcomes (CAUTI infections), the number of patients is multiplied by the average raw rate for each decile. Right now, the total estimated number of negative outcomes across all deciles is about 100. If the average performance of Decile 3 (0.574%) is considered a plausible, achievable rate, and the entities in Deciles 4 through 10 improved to reach that rate, about 50 fewer negative outcomes could occur. This translates to about four patients per entity and means that improving performance on this measure could help ensure that fewer patients contract CAUTI infections, potentially leading to better health outcomes.

                      Importance Criterion Definition

                      The Meaningfulness criterion will be evaluated as part of the full Preliminary Assessment available in September. 

                        Criterion Definition

                        This criterion will be evaluated as part of the full Preliminary Assessment available in September. 

                          Criterion Definition

                          This criterion will be evaluated as part of the full Preliminary Assessment available in September. 

                          PA Type
                          Performance and Impact Analysis (PIA)

                          Central Line-Associated Bloodstream Infection (CLABSI) Standardized Infection Ratio

                          CMS Measures Inventory Tool (CMIT) ID
                          00460-01-C-PCHQR
                          Steward Organization Group
                          Centers for Disease Control and Prevention
                          Committee
                          MSR Recommendation Group
                            Measure Overview
                              Use in CMS Programs
                              CMS Program History
                              • Finalized for inclusion in the PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) Program in 2011. 
                              • Implemented in the PCHQR Program in 2013.
                              • Also active in the Long-Term Care Hospital Quality Reporting Program.
                              Description

                              Annual risk-adjusted standardized infection ratio (SIR) of central line-associated bloodstream infections (CLABSI) among adults and children hospitalized as inpatients at acute care hospitals, critical access hospitals, oncology hospitals, and long-term acute care hospitals. SIR is reported annually and is calculated by dividing the number of observed CLABSIs by the number of predicted CLABSIs.  

                              Numerator

                              Number of annually observed central line-associated bloodstream infections (CLABSI) in hospital inpatients. 

                              Numerator Exclusions

                              N/A

                              Numerator Exceptions

                              N/A

                              Denominator

                              Number of annually predicted central-line associated bloodstream infections (CLABSI) in hospital inpatients.

                              Denominator Exclusions

                              The following devices are not considered central lines and are excluded:  

                              • Arterial catheters unless in the pulmonary artery, aorta or umbilical artery 
                              • Arteriovenous fistula  
                              • Arteriovenous graft  
                              • Extracorporeal life support (ECMO)  
                              • Hemodialysis reliable outflow (HERO) dialysis catheter  
                              • Intra-aortic balloon pump (IABP) devices  
                              • Peripheral IV or Midlines  
                              • Ventricular Assist Device (VAD) 

                              CLABSI events reported to NHSN as mucosal barrier injury laboratory-confirmed bloodstream infections (MBI-LCBIs) are excluded. 

                              Denominator Exceptions

                              N/A

                              Cascade of Meaningful Measures Priority
                              Measure Type
                              Outcome
                              Level of Analysis
                              Facility
                              Care Setting
                              Hospital: Inpatient Acute Care Facility
                              Hospital: Long-Term Care
                              PPS-Exempt Cancer Hospital
                              CBE Endorsement Status
                              Endorsed
                              CBE Endorsement History

                              Endorsement History: 

                              • Initial endorsement, 2012. 
                              • Measure retained endorsement in 2025 through maintenance cycle as new measure ID CBE #0139.

                               Link to Endorsement Measure Record: Catheter-Associated Urinary Tract Infection (CAUTI) Standardized Infection Ratio | Partnership for Quality Measurement

                                About this Analysis (Measure Score by PY)

                                Impact Summary: By evaluating outcomes such as health care-associated infections across different inpatient care settings and reporting on these results at the facility, hospital, or agency level, this measure helps fulfill Prospective Payment System-Exempt Cancer Hospital Quality Reporting (PCHQR) Program goals by providing actionable quality-of-care information that empowers consumers and drives hospitals and clinicians to improve infection-prevention practices for Medicare beneficiaries. 

                                Overall, the limited number of PPS-exempt cancer hospitals participating and reporting in this program makes it difficult to analyze overall performance trends. As shown in Table 1, if all entities performed at 2024’s average score, about 60 fewer negative outcomes could occur. This translates to about five patients per entity and means that improving performance on this measure could help ensure that fewer patients contract CLABSI, potentially leading to better health outcomes.

                                For this measure, Battelle reviewed the following publicly available datasets available at  Hospitals data archive | Provider Data Catalog:

                                • Hospitals_02_2026.zip (which contains data from April 2024-March 2025 and is referred to as year 2024 in this assessment)
                                • Hospitals_02_2025.zip (which contains data from April 2023-March 2024 and is referred to as year 2023 in this assessment)
                                • Hospitals_01_2024.zip (which contains data from April 2022-March 2023 and is referred to as year 2022 in this assessment)
                                • Hospitals_01_2023.zip (which contains data from April 2021-March 2022 and is referred to as year 2021 in this assessment)

                                Battelle analyzed all values for “PCH_4” not marked as “Not Available” from the corresponding PCH_HEALTHCARE_ASSOCIATED_INFECTIONS_HOSPITAL.csv file.

                                 

                                About Figure 1: Figure 1 is a boxplot that shows how scores have changed based on the most recent 4 years of data available. For each year, the boxplot displays a box with lines and dots to help visualize the range and distribution of scores. The dots represent the points where the lowest 5% and highest 5% of scores fall, and the line connecting them shows where 90% of the scores are located. The box itself covers the middle half of the scores, from the 25th to the 75th percentile. Inside the box, a horizontal line marks the median score, which is the middle value, while a “+” sign shows the average score. This type of graph makes overall trends in scores over time as well as the consistency and spread of the results easier to understand.

                                Figure 1 (Measure Score by PY)
                                boxplot

                                Figure 1. Boxplot of Measure Score by Year

                                Interpretation (Measure Score by PY)

                                Figure 1 Interpretation: There are only 11 entities per year, so any apparent trend may just as likely be attributed to random error, indicating little discernible change across the 4 years. Overall, the limited number of PPS-exempt cancer hospitals participating and reporting in this program makes it difficult to analyze overall performance trends. For this measure, a lower score indicates better quality of care.

                                About this Analysis (Score Distro)

                                About Table 1: Table 1 illustrates the distribution of scores (standardized infection ratio [SIR]), raw rates, and the number of patients represented within each group. It is important to note that the groups (referred to as deciles, each comprising 10% of the organizations) with the lowest or highest scores may contain more or fewer patients than other groups. For example, if the lowest-scoring decile includes only 5% of the total patient population, then smaller entity size may be associated with lower performance scores.

                                Table 1 (Score Distro)

                                Table 1. Importance in the Most Recent Year of Data Available (Decile by Measure Score, 2024) 

                                 OverallDecile 1Decile 2Decile 3Decile 4Decile 5Decile 6Decile 7Decile 8Decile 9Decile 10
                                Average SIR (Standard Deviation)

                                1.174 (0.601)

                                0.245

                                0.977

                                0.896

                                0.937

                                1.292

                                1.375

                                1.559

                                1.330

                                2.089

                                1.973

                                Average Raw Rate (Standard Deviation)

                                0.127 (0.070)

                                0.025

                                0.089

                                0.112

                                0.116

                                0.126

                                0.138

                                0.142

                                0.149

                                0.231

                                0.247

                                Entities

                                11

                                2

                                1

                                1

                                1

                                1

                                1

                                1

                                1

                                1

                                1

                                Patients

                                476,883

                                156,339

                                12,403

                                56,402

                                91,284

                                58,517

                                33,215

                                7,032

                                49,567

                                6,058

                                6,066

                                Interpretation (Score Distro)

                                Table 1 Interpretation: To estimate the number of negative outcomes (CLABSI), the number of patients is multiplied by the average raw rate for each decile. In 2024, the total estimated number of negative outcomes across all deciles is about 450. If the average performance of Decile 3 (0.112%) is considered a plausible, achievable rate, and the entities in Deciles 4 through 10 improved to reach that rate, about 60 fewer negative outcomes could occur. This translates to about five patients per entity and means that improving performance on this measure could help ensure that fewer patients contract CLABSI, potentially leading to better health outcomes.

                                  Importance Criterion Definition

                                  The Meaningfulness criterion will be evaluated as part of the full Preliminary Assessment available in September. 

                                    Criterion Definition

                                    This criterion will be evaluated as part of the full Preliminary Assessment available in September. 

                                      Criterion Definition

                                      This criterion will be evaluated as part of the full Preliminary Assessment available in September. 

                                      PA Type
                                      Performance and Impact Analysis (PIA)

                                      Clostridioides difficile (CDI) LabID Event Standardized Infection Ratio

                                      CMS Measures Inventory Tool (CMIT) ID
                                      00462-01-C-PCHQR
                                      Steward Organization Group
                                      Centers for Disease Control and Prevention
                                      Committee
                                      MSR Recommendation Group
                                        Measure Overview
                                          Use in CMS Programs
                                          CMS Program History
                                          • Finalized for inclusion in the Prospective Payment System-Exempt Cancer Hospital Quality Reporting Program in 2015. 
                                          • Implemented in the Prospective Payment System-Exempt Cancer Hospital Quality Reporting Program in 2017.
                                          • Also active in the Long-Term Care Hospital Quality Reporting Program and the Inpatient Rehabilitation Facility Quality Reporting Program.
                                          Description

                                          Annual risk-adjusted standardized infection ratio (SIR) of Clostridioides difficile (CDI) LabID events among adults and pediatrics hospitalized as inpatients at acute care hospitals, oncology hospitals, long-term acute care hospitals, and acute care rehabilitation hospitals.  SIR is reported annually and is calculated by dividing the number of observed CDIs into the number of predicted CDIs.  

                                          Numerator

                                          Number of annually observed Clostridioides difficile (CDI) LabID events in hospital inpatients. 

                                          Numerator Exclusions

                                          N/A

                                          Numerator Exceptions

                                          N/A

                                          Denominator

                                          Number of annually predicted Clostridioides difficile (CDI) LabID events in hospital inpatients.    

                                          Denominator Exclusions

                                          Baby based locations such as, neonatal ICU, special care nursery and well-baby nurseries, are excluded from the denominator count. In LDRP locations, moms and babies must each be counted separately (as two patients). Any locations that predominantly house infants, including NICU, SCN, or well-baby locations (for example, nurseries, babies in LDRP) are excluded. 

                                          Denominator Exceptions

                                          N/A

                                          Cascade of Meaningful Measures Priority
                                          Measure Type
                                          Outcome
                                          Level of Analysis
                                          Other
                                          Care Setting
                                          Hospital: Inpatient Acute Care Facility
                                          PPS-Exempt Cancer Hospital
                                          Inpatient Rehabilitation Facility
                                          Long-Term Acute Care Facility
                                          CBE Endorsement Status
                                          Endorsed with Conditions
                                          CBE Endorsement History

                                          Endorsement History: Endorsed with conditions, 2025 

                                          Conditions for maintenance review in 3 years, the developer will have: Explored the possibility of using other all-payer data sources to expand the use of patient-level factors in the risk adjustment model and reduce reliance on facility-level factors.

                                          Link to Endorsement Measure Record: Clostridioides difficile (CDI) LabID Event Standardized Infection Ratio

                                            About this Analysis (Measure Score by PY)

                                            Impact Summary: By assessing the difference between observed and expected hospital-onset CDI LabID events among inpatients—accounting for facility characteristics such as bed size, academic affiliation, diagnostic method, and patient prevalence—this measure supports PCH goals by giving consumers meaningful, setting-specific quality-of-care data and encouraging hospitals to improve inpatient care quality for Medicare beneficiaries through transparent reporting and benchmarking against best practices. 

                                            Overall, the limited number of PPS-exempt cancer hospitals participating and reporting in this program makes it difficult to analyze overall performance trends. Based on the performance shown in Table 1, if all entities reporting performed at least at the average score, improving performance on this measure could help ensure that 11 fewer patients per entity contract CDI, potentially leading to better health outcomes.

                                            For this measure, Battelle reviewed the following publicly available datasets available at  Hospitals data archive | Provider Data Catalog:

                                            • Hospitals_02_2026.zip (which contains data from April 2024-March 2025 and is referred to as year 2024 in this assessment)
                                            • Hospitals_02_2025.zip (which contains data from April 2023-March 2024 and is referred to as year 2023 in this assessment)
                                            • Hospitals_01_2024.zip (which contains data from April 2022-March 2023 and is referred to as year 2022 in this assessment)
                                            • Hospitals_01_2023.zip (which contains data from April 2021-March 2022 and is referred to as year 2021 in this assessment)

                                            Battelle analyzed all values for “PCH_26” not marked as “Not Available” from the corresponding PCH_HEALTHCARE_ASSOCIATED_INFECTIONS_HOSPITAL.csv file.

                                             

                                            About Figure 1: Figure 1 is a boxplot that shows how scores have changed based on the most recent 4 years of data available. For each year, the boxplot displays a box with lines and dots to help visualize the range and distribution of scores. The dots represent the points where the lowest 5% and highest 5% of scores fall, and the line connecting them shows where 90% of the scores are located. The box itself covers the middle half of the scores, from the 25th to the 75th percentile. Inside the box, a horizontal line marks the median score, which is the middle value, while a “+” sign shows the average score. This type of graph makes overall trends in scores over time as well as the consistency and spread of the results easier to understand.

                                            Figure 1 (Measure Score by PY)
                                            boxplot

                                             

                                            Figure 1. Boxplot of Measure Score by Year

                                            Interpretation (Measure Score by PY)

                                            Figure 1 Interpretation: Overall, the limited number of PPS-Exempt Cancer Hospitals participating and reporting in this program makes it difficult to analyze overall performance trends. There are only 11 entities per year, so any apparent trend may just as likely be attributed to random error, indicating little discernible change across the 4 years. For this measure, a lower score indicates better quality of care.

                                            About this Analysis (Score Distro)

                                            About Table 1: Table 1 illustrates the distribution of scores (standardized infection ratios [SIRs]), raw rates, and the number of patients represented within each group. It is important to note that the groups (referred to as deciles, each comprising 10% of the organizations) with the lowest or highest scores may contain more or fewer patients than other groups. For example, if the lowest-scoring decile includes only 5% of the total patient population, then smaller entity size may be associated with lower performance scores.

                                            Table 1 (Score Distro)

                                            Table 1. Importance in the Most Recent Year of Data Available (Decile by Measure Score, FY2024) 

                                             OverallDecile 1Decile 2Decile 3Decile 4Decile 5Decile 6Decile 7Decile 8Decile 9Decile 10
                                            Average SIR (Standard Deviation)

                                            0.652 (0.552)

                                            0.225

                                            0.471

                                            0.311

                                            0.363

                                            0.374

                                            0.743

                                            0.641

                                            0.810

                                            2.167

                                            0.846

                                            Average Raw Rate (Standard Deviation)

                                            0.064 (0.040)

                                            0.026

                                            0.030

                                            0.038

                                            0.043

                                            0.043

                                            0.062

                                            0.089

                                            0.091

                                            0.105

                                            0.148

                                            Entities

                                            11

                                            2

                                            1

                                            1

                                            1

                                            1

                                            1

                                            1

                                            1

                                            1

                                            1

                                            Patients

                                            806,679

                                            325,898

                                            23,356

                                            10,608

                                            121,827

                                            170,519

                                            6,460

                                            17,922

                                            76,790

                                            6,681

                                            46,618

                                            Interpretation (Score Distro)

                                            Table 1 Interpretation: To estimate the number of negative outcomes (CDI), the number of patients is multiplied by the average raw rate for each decile. In 2024, the total estimated number of negative outcomes across all deciles is about 400. If the average performance of Decile 3 (0.311%) is considered a plausible, achievable rate, and the entities in Deciles 4 through 10 improved to reach that rate, about 120 fewer negative outcomes could occur. This translates to about 11 patients per entity and means that improving performance on this measure could help ensure that fewer patients contract CDI, potentially leading to better health outcomes.

                                              Importance Criterion Definition

                                              The Meaningfulness criterion will be evaluated as part of the full Preliminary Assessment available in September. 

                                                Criterion Definition

                                                This criterion will be evaluated as part of the full Preliminary Assessment available in September. 

                                                  Criterion Definition

                                                  This criterion will be evaluated as part of the full Preliminary Assessment available in September. 

                                                  PA Type
                                                  Performance and Impact Analysis (PIA)

                                                  Combination chemotherapy or chemo-immunotherapy (if HER2 positive), is recommended or administered within 4 months (120 days) of diagnosis for women under 70 with AJCC T1cN0 or stage IB - III hormone receptor negative breast cancer

                                                  Percentage of female patients, age >= 18 and < 70 at diagnosis, who have their first diagnosis of cancer (epithelial malignancy), at AJCC stage T1cN0M0 or Stage IB - IIIC, whose primary tumor is of the breast, and progesterone and estrogen receptor negative is recommended or administered multi-agent chemotherapy within 4 months (120 days) of diagnosis

                                                  CBE ID
                                                  0559

                                                  External Beam Radiotherapy for Bone Metastases

                                                  This measure reports the percentage of patients, regardless of age, with a diagnosis of painful bone metastases and no history of previous radiation who receive external beam radiation therapy (EBRT) with an acceptable fractionation scheme as defined by the guideline.

                                                  CBE ID
                                                  1822

                                                  HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Systems) Survey

                                                  HCAHPS (NQF #0166) is a 29-item survey instrument that produces 10 publicly reported measures:

                                                  6 multi-item measures (communication with doctors, communication with nurses, responsiveness of hospital staff, communication about medicines, discharge information and care transition); and

                                                  4 single-item measures (cleanliness of the hospital environment, quietness of the hospital environment, overall rating of the hospital, and recommendation of hospital).

                                                  CBE ID
                                                  0166