Related Experiment Video
Updated: Sep 21, 2025

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
Published on: April 19, 2019
Using a home time measure to differentiate ACO performance for seriously ill populations
Salama S Freed1,2, Brystana G Kaufman1,3,4, Courtney H Van Houtven1,3,4
1Margolis Center for Health Policy, Duke University, Durham, North Carolina, USA.
Alternative Payment Models aim to improve care for seriously ill patients. Days at Home (DAH) measures performance, with factors like risk models and market characteristics influencing outcomes for beneficiaries in Accountable Care Organizations (ACOs).
Area of Science:
- Healthcare Policy and Management
- Geriatric Care
- Health Services Research
Background:
- Alternative Payment Models (APMs), including the ACO REACH model, are being piloted by the Centers for Medicare and Medicaid Services (CMS) to enhance care and quality of life for seriously ill populations (SIP).
- Days at Home (DAH) has been proposed as a metric to evaluate organizational performance within these APMs.
- Assessing the utility and feasibility of person-centered outcomes like DAH is crucial as CMS advances care models for seriously ill beneficiaries.
Purpose of the Study:
- To evaluate the feasibility of an Accountable Care Organization (ACO)-level Days at Home (DAH) measure.
- To examine characteristics associated with ACOs that achieve higher DAH for seriously ill beneficiaries.
Main Methods:
- Calculated DAH for Medicare fee-for-service beneficiaries aged 68+ attributed to a Medicare ACO (2014-2018) meeting seriously ill criteria.
- Aggregated and risk-adjusted DAH to the ACO level for seriously ill beneficiaries.
- Assessed associations between risk-adjusted DAH per person-year and ACO, beneficiary, and market characteristics.
Main Results:
- Seriously ill beneficiaries in ACOs averaged 349.3 risk-adjusted DAH per person-year, with notable variation (IQR: 4.21 days).
- ACOs with less racially diverse beneficiaries, those opting for two-sided risk models, and those in markets with fewer hospital/SNF beds reported more DAH.
- Organizational factors, including ACO size and risk level, were strongly linked to higher DAH.
Conclusions:
- Significant variation in DAH across ACOs indicates its potential to differentiate provider performance.
- Accurate risk adjustment is essential for the DAH metric's success, ensuring adequate resources for providers caring for seriously ill patients.
- ACOs with specific characteristics, such as larger size and higher risk engagement, are associated with improved Days at Home outcomes.
Related Concept Videos
Documentation in Long-Term and Home Healthcare Setting
Long-Term Care Facilities
Pulse rhythm
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
Classification of Illness
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
Nursing Assessment
The nurse collects all aspects of the patient's health in the initial assessment, establishing priorities for ongoing focused assessments...
Methods of Documentation II: POMR

