All-Cause Unplanned Admissions for Multiple Chronic Conditions
Identifying Attributes
Care Settings
Country
Publishing Organisation
Type of Quality Indicator
IOM Quality Dimension
Domain
Defining Attributes
Definition
The risk-standardised rate of acute, unplanned hospital admissions for the Merit-based Incentive Payment System (MIPS) among Medicare Fee-for-Service (FFS) patients aged 65 years and older with multiple chronic conditions (MCCs); i.e., two or more of nine qualifying chronic conditions.
Numerator
The number of acute unplanned admissions per 100 person-years at risk for admission during the measurement period.
Denominator
Medicare FFS beneficiaries 65 years or older with two or more of the following chronic conditions; • Acute myocardial infarction (AMI) • Alzheimer's disease and related disorders or senile dementia • Atrial fibrillation • Chronic kidney disease (CKD) • Chronic obstructive pulmonary disease (COPD) and asthma • Depression • Diabetes • Heart failure • Stroke and transient ischaemic attack (TIA)
Exclusions
Planned hospital admissions, admissions that occur directly from a skilled nursing facility (SNF), admissions that occur within a 10-day buffer period" after discharge from a hospital, SNF, or acute rehabilitation facility, admissions that occur after a patient has entered hospice, admissions related to complications from procedures or surgeries, admissions related to accidents or injuries, admissions with a principal discharge diagnosis of COVID-19.
Use of Risk Adjustment
Risk Adjustments
Age, chronic condition categories, and other clinical and frailty risk factors present at the start of the 12-month measurement period as well as social risk factors.
Stratifications
Data Attributes
Type of Data Collection
Data Collection Methods
Medicare claims, Medicare beneficiary enrolment data, Durable Medical Equipment claims, the American Community Survey, and the Area Health Resource Files.
Frequency of Data Collection
Frequency of Data Collection in Days
Reporting Methods
Hospital Care Compare Website. More detailed data is displayed at data.cms.gov