Hospitalisations for Ambulatory Care Sensitive Conditions Among Home and Community Based Service (HCBS) Participants: Acute Conditions
Identifying Attributes
Care Settings
Country
Publishing Organisation
Type of Quality Indicator
IOM Quality Dimension
Domain
Defining Attributes
Definition
Risk-adjusted, state-level measure that assesses rates of hospital admissions for ambulatory care sensitive conditions per 1,000 Medicaid HCBS participants aged 18 years and older for acute conditions including acute bronchitis, acute heart failure, constipation, dehydration, falls, pneumonia, complicated urinary tract infection, ketoacidosis (with or without coma), malnutrition, cellulitis, sepsis, and pressure ulcers.
Numerator
The number of Medicaid HCBS participants who had an inpatient admission for an acute condition during the measurement period. Ambulatory care sensitive conditions for the acute conditions rate include acute bronchitis, acute heart failure, cellulitis, complicated urinary tract infection, constipation, dehydration, falls, ketoacidosis (with or without coma), malnutrition, pneumonia, pressure ulcers, and sepsis.
Denominator
Adults receiving Medicaid HCBS, aged 18 years and older, within each state during the measurement period.
Exclusions
Denominator exclusions: acute hospital transfers, hospice and hospitalisations for obstetric conditions. Acute Conditions exclusions: Primary diagnosis of pneumonia - Excluding any discharge with a diagnosis of sickle cell anaemia, haemoglobin S disease or procedure or diagnosis for immunocompromised state. Primary diagnosis of complicated urinary tract infection - Excluding any discharge with a diagnosis of kidney or urinary tract disorder or procedure or diagnosis for immunocompromised state. Primary diagnosis of cellulitis or pressure ulcer - Excluding any discharge with a procedure or diagnosis for immunocompromised state.
Use of Risk Adjustment
Risk Adjustments
Stratifications
Collection and Reporting Attributes
Type of Data Collection
Data Collection Methods
Claims data