Discharged to Community: 77.71% Nationally, and the Conversations That Move It

Discharged to Community: 77.71% Nationally, and the Conversations That Move It

The July 2026 Care Compare refresh puts the national home health Discharge to Community (DTC) risk-standardized rate at 77.71%, the Potentially Preventable Readmission (PPR) rate at 4.12%, and the Potentially Preventable Hospitalization (PPH) rate at 10.83%. Those three numbers together tell a specific story about the current baseline of the industry. They also expose something more useful for operators: the measures that separate an agency at the 90th percentile from one at the median are not clinical mysteries. They are, in a real sense, communication metrics. And communication metrics show up in your call recordings before they show up in a claims-based measure.

What the three measures actually count

DTC captures whether a Medicare home health patient was successfully discharged to the community without a subsequent unplanned admission or death in the 31 days after home health discharge. PPR captures unplanned readmissions to acute or long-term-care hospitals in the 30 days after home health discharge that clinicians deem potentially preventable. PPH captures potentially preventable hospitalizations during the home health stay itself. All three are risk-standardized: the CMS methodology adjusts for patient case mix so that agencies serving sicker patients are not penalized for it. That is why comparing your rate to the national baseline is a meaningful exercise; the arithmetic is designed to be comparable across agencies.

The three measures do not measure the same thing at different points. They isolate three distinct failure modes:

• PPH is a failure while the patient is on service — a preventable escalation your team did not catch, or caught late.
• PPR is a failure at the transition — the patient came off service and came back to the hospital within 30 days.
• DTC is the summary result — did the episode land the patient safely back in the community, or not.

The national rates say the industry, on average, gets DTC right about 78% of the time, sees preventable hospitalizations on service in roughly 11% of stays, and sees preventable readmissions after discharge in about 4%. Whether your agency is above or below those lines is worth knowing. What is doing the work at the margin is what matters for improving.

Where the conversation lives inside each measure

Every one of these measures has clinical components that live in the visit and skilled-care components that live in the plan of care. Both are non-negotiable. But talk to a director of clinical operations at an agency that consistently outperforms the national baseline and the difference is almost always something like: "We talk to patients and families more, earlier, and about the specific things that change outcomes." A partial catalog of the calls that move the needle:

• The first-72-hour follow-up call. After start-of-care, an early check-in surfaces medication reconciliation issues, home-safety concerns, and family-caregiver readiness before they become PPH events. Whether your agency actually places this call — and whether it is a scripted quality touch or a rushed scheduling check-in — is visible in your call recordings.
• The change-in-condition triage call. When a family calls because "Mom does not seem right," the first thirty seconds of that call determine whether the next step is a same-day nurse visit, a phone consult, or an unnecessary 911 dispatch. Agencies with lower PPH rates route these calls differently.
• The discharge-planning call. A DTC-friendly discharge is one where the patient and family understand what to do, who to call, and when to escalate, and it is documented that they do. That is a call, not a form.
• The 30-day post-discharge check. An outbound follow-up in the PPR window catches medication issues, worsening symptoms, and unaddressed durable-medical-equipment gaps that otherwise end at the ED.
• The referral-source call. Hospital case managers and SNF discharge planners share information — informally, verbally, on the phone — that never makes it into a referral packet but changes clinical management. Agencies that treat referral-source calls as clinical intake, not just business development, get better inputs.

You will notice that four of the five sit on the phones, not in the visit. That is not an accident of framing. It is where the ordinary operating rhythm of a home health agency spends most of its non-visit hours.

How to read your own three numbers

If your DTC is at or above 77.71%, your PPR at or below 4.12%, and your PPH at or below 10.83%, you are performing at or above the national baseline. That is a useful piece of information; it is not a plan. Two more constructive questions to sit with:

• Which of the three measures is your biggest gap versus your peer group at your state or CBSA level? Nationally-adjusted rates do not tell you what is winnable in your market.
• Which of the calls listed above is your team actually placing — as a proportion of eligible patients, not as an average number per week — and which is theoretically in the workflow but empirically slipping?

Neither answer requires a new IT project. Both require honest data.

The gap between "we do that" and "we do that consistently"

Every home health agency will tell you it makes 72-hour follow-up calls. A random sample of 20 start-of-care episodes tells you what proportion actually got one — and how many were left as voicemails that were never returned. Every agency will tell you its triage nurses do a careful assessment before recommending 911. A random sample of five recorded triage calls tells you whether the recommendation happened before or after the assessment. These are not gotchas. They are ordinary operations, and the gap between the policy and the practice is where the DTC/PPR/PPH margin lives.

The reason this matters at the measure level is that CMS risk-adjustment is already accounting for how sick your patients are. It is not accounting for whether your team called them on day 3 and whether that call caught something. That part is on the operating model.

A one-week action list

• Pull your current Care Compare rates for DTC, PPR, and PPH and note the gap to national. If a rate is not on Care Compare because you have too few cases in the measurement window, that itself is a signal about denominator that shapes the rest of this exercise.
• Sample 25 recent start-of-care episodes. For each, verify whether a first-72-hour follow-up call was placed, connected, and documented. Turn the proportion into a headline number and tell your clinical leadership team.
• Pull 10 recorded triage calls from the last month in which the outcome was ED referral. Listen for whether the assessment preceded the recommendation, whether alternatives (same-day home visit, telephonic consult) were explicitly offered, and whether the family understood the decision.
• Pull 10 recorded discharge-planning calls. Confirm the patient and family were asked to teach-back the escalation instructions.
• Pull the last 30 days of referral-source calls. Note any clinical information conveyed verbally that did not make it into your intake record. Any pattern there is a change-management opportunity, not a one-off.

None of this replaces clinical quality work. It complements it, at the layer of the operating model where the day-to-day margin is actually won.

Where call intelligence changes the shape of the work

The pattern above assumes you can find and listen to the right ten calls. In a small agency that is a Tuesday afternoon. In an agency with a 200-seat contact center, ten calls out of 40,000 is neither statistically meaningful nor logistically feasible without a system that transcribes, tags, and surfaces the right ones. That is the category of capability healthcare-specific call and interaction intelligence exists to provide, and it is what SurfacerIQ builds for home health, home care, and hospice operators.

For a related view of how the ordinary phone stream connects to operating outcomes, see Dashboards Tell You What Happened. Surfaces Tell You What's Happening. and What a Missed Visit Sounds Like Before It Shows Up in Your EVV Data. When you want to know how your own DTC/PPR/PPH story reads from the calls in, talk to us.