Home-based acute care programs frequently report the share of encounters in which the patient remained home rather than being transported. One Massachusetts program reports nearly 90 percent across more than 50,000 encounters.
The figure is genuinely significant, and it is also frequently misread. Understanding what it does and does not establish matters for anyone evaluating these programs.
What Does the Metric Actually Measure?
The metric measures the proportion of encounters after which the patient remained at home on the day of the visit rather than being transported to an emergency department or admitted.
It is a disposition measure taken at a single point in time. It describes what happened at the conclusion of the encounter.
Why Is the Figure Meaningful?
The figure is meaningful because it demonstrates that triage and clinical capability are aligned. A program dispatching to cases it cannot handle would show a much higher transport rate.
The cumulative results described in bridging the access gap for complex patients place that disposition rate against a population where more than half carry multiple chronic conditions, which is what makes the number substantive rather than a reflection of easy case selection. Disposition rates are only interpretable alongside acuity.
A ninety percent rate in a low-acuity population would prove little. In a medically complex population it indicates the model is handling genuine acute need.
What Does the Metric Not Establish?
A day-of disposition figure does not establish what happened over the following week. A patient who remained home on the day of the visit may have presented to an emergency department two days later.
Same-day disposition and durable avoidance are different claims. Conflating them overstates what the metric supports.
How Should Durable Outcomes Be Measured?
Durable outcomes require utilization data across a follow-up window, typically thirty days, comparing emergency department use and admissions against a relevant baseline. That analysis is considerably harder to produce.
It requires claims data and an appropriate comparison group rather than program records alone. Programs that report both measures are making a stronger claim than those reporting disposition only.
What Would Make the Number Misleading?
Several conditions would undermine the figure’s meaning. The circumstances worth checking include:
- Triage that systematically declines higher-acuity cases
- A patient population with low baseline complexity
- Disposition measured only at the moment of departure
- No follow-up utilization data across a defined window
- Absence of a comparison group or baseline period
Any of these would inflate the rate without reflecting clinical capability. Checking for them is standard diligence rather than skepticism.
How Does Triage Design Affect the Rate?
Triage design has a direct mechanical effect on disposition rates. A program that routes anything ambiguous to emergency services will report excellent stay-home performance on the cases it accepts.
This is why acceptance criteria matter alongside outcomes. A high rate paired with narrow acceptance criteria describes case selection, not clinical reach.
What Supporting Data Strengthens the Claim?
Disposition figures become considerably more persuasive alongside acuity distribution, population complexity, and follow-up utilization. Each addresses a different alternative explanation.
Reporting that pairs these elements appears in the 2025 care-in-place outcomes data for the Massachusetts program, which presents disposition alongside acuity tiers, chronic condition burden, and utilization reductions among high-risk members. The combination addresses the case-selection question directly.
Any single metric can be presented favorably. Combinations are harder to construct selectively.
What Should Plans Ask For?
Plans evaluating these programs should request acuity distribution, population complexity measures, and follow-up utilization alongside any disposition figure. Programs with strong results generally provide these readily.
Reluctance to supply supporting detail is itself informative. The absence of context is usually where a favorable headline number originates, and programs confident in their results rarely hesitate to supply it.
How Do Escalation Pathways Affect the Number?
The roughly ten percent of encounters that do result in transport are not program failures. They represent cases where in-home assessment identified a need for a higher level of care and escalated appropriately.
A program reporting a hundred percent stay-home rate would be more concerning than one reporting ninety. Some proportion of acute presentations genuinely require hospital resources.
What Does Volume Add to Confidence?
The figure is drawn from more than 50,000 cumulative encounters across more than 15,000 patients, which reduces the likelihood that the result reflects a favorable sample. Small program datasets are considerably easier to misread.
Volume at that scale also spans multiple years and seasons. Results that hold across varied conditions carry more weight than a single strong quarter.
How Should the Metric Be Used in Contracting?
Health plans structuring agreements around these programs generally define outcome measures more precisely than a disposition rate alone. Contract language typically specifies the follow-up window and the comparison basis.
Defining these terms during contracting avoids disputes later about what the reported numbers actually represent. Precision at the outset is easier than reconciliation afterward, particularly when multiple stakeholders are interpreting the same figure against different assumptions about what it covers.
A ninety percent stay-home rate across a medically complex population is a substantive result. It is evidence of aligned triage and clinical capability rather than proof of durable utilization reduction.
For anyone evaluating these programs, the practical step is to read disposition alongside acuity and follow-up data. The number means what the surrounding context allows it to mean.

