Treatment acceptance rate

Treatment acceptance rate is the percentage of diagnosed and presented dental treatment that patients agree to and schedule, measured either by dollar value or by number of procedures over a set period. It is also called case acceptance rate or treatment plan acceptance. It measures how much of what the doctor diagnoses actually turns into scheduled care, and it is one of the few numbers that connects the clinical side of a practice to the schedule.

How is treatment acceptance rate calculated?

Treatment acceptance rate is calculated by dividing the value of treatment accepted and scheduled in a period by the value of treatment presented in that same period, then multiplying by 100. The same formula can be run on procedure counts instead of dollars, and many groups look at both, because a high dollar rate can hide a lot of small declined procedures.

Worked example (illustrative figures). In one month an office presents $310,000 in treatment. Patients accept and schedule $186,000 of it. The dollar acceptance rate is 186,000 divided by 310,000, or 60 percent. By procedure count, 240 procedures were presented and 168 were scheduled, a 70 percent rate. The gap between the two tells the office that patients are saying yes to smaller items and hesitating on the larger cases, which points to financing conversations rather than diagnosis.

The number depends entirely on what counts as presented, so groups define it once. Treatment that is diagnosed but never discussed with the patient should not count as presented, and treatment accepted but not scheduled is usually tracked separately as unscheduled treatment.

What is a good treatment acceptance rate?

There is no single benchmark for a good treatment acceptance rate, because the number moves with how conservatively a provider diagnoses, whether the practice counts dollars or procedures, and how it defines presented; a rate that looks low may simply reflect a doctor who diagnoses comprehensively. The useful comparison is an office against its own history and against sibling offices measured the same way.

Because of that, the more actionable questions are the ones behind the rate: how quickly does a presented plan get a follow-up call, how many plans are still open after 30 days, and how does the office compare on those to the rest of the group. A rate that rises because the doctor stopped presenting elective treatment is not an improvement.

How do dental groups improve treatment acceptance?

Dental groups improve treatment acceptance by presenting treatment clearly at the chair with the cost and financing options ready, scheduling the first appointment before the patient leaves, following up on every unanswered plan within days, and measuring the result per office so coaching goes where the numbers say it should. Consistent follow-up recovers a surprising share of the plans that walk out the door undecided.

The follow-up half of that list is unscheduled treatment outreach. Read How to read outreach ROI without fooling yourself for how to count what that follow-up produces without overstating it.

Related terms

• Unscheduled treatment: Unscheduled treatment is dental treatment that a provider has diagnosed and presented to a patient, and that the patient has accepted or has not yet declined, but that has no appointment on the schedule.
• Production vs collections: Production vs collections is the distinction between the dollar value of dental work a practice performs in a period (production) and the cash it actually receives for that work (collections).
• Patient outreach: Patient outreach is the daily operating discipline of contacting patients who are due for hygiene, have unscheduled treatment, have lapsed, or carry an outstanding balance, so that they get scheduled or resolved and the practice's schedule stays full.

This entry is part of the MyDentalForce dental operations glossary, a plain-language reference for office managers, practice owners, and DSO operators. Definitions describe common industry usage; your group may define its own metrics differently, and figures in examples are illustrative.