Which dataset is used to benchmark secondary diagnoses that increase the incidence of CCs and MCCs?

The dataset that is commonly used to benchmark secondary diagnoses that increase the incidence of Complications and Comorbidities (CCs) and Major Complications and Comorbidities (MCCs) is MEDPAR.

MEDPAR is a database that includes records from the Medicare program and focuses on inpatient hospital stays for Medicare beneficiaries. It contains detailed information about patient diagnoses, procedures, and lengths of stays, making it a valuable resource for analyzing trends in healthcare delivery, expenses, and patient outcomes, particularly concerning the impact of secondary diagnoses on resource utilization and reimbursement. By using this dataset, analysts can effectively evaluate which secondary diagnoses are associated with higher rates of CCs and MCCs, aiding in performance measurement and reimbursement calculations.

The other datasets mentioned, while valuable in their own rights, serve different purposes. For instance, the National Database of Nursing Quality Indicators (NDNQI) focuses on nursing-sensitive quality measures, and the Healthcare Cost and Utilization Project (HCUP) provides comprehensive national data on hospital care; neither is specifically geared toward Medicare inpatient diagnoses in the way that MEDPAR is. The Centers for Medicare & Medicaid Services (CMS) provides overarching regulatory and payment frameworks but does not serve as a dataset in the same way that MEDPAR does