The United Healthcare denial rate compared to other insurance companies is a medical statistic, drawn from a file that contains no dental claims at all. Published comparisons rank issuers using data that health plans report to CMS about coverage sold on the federal exchange, and those rankings have put UnitedHealthcare near the high end. None of it describes what happened to the crown you billed last Tuesday. The figure that predicts your collections is your own first pass denial rate, payer by payer, and almost no practice measures it.
Where the published numbers come from
Under the transparency in coverage provisions of the Affordable Care Act, issuers offering qualified health plans through HealthCare.gov report claims received and claims denied for in network services. CMS publishes the file. Journalists, law firms and comparison sites read it, sort the issuers, and produce the headline you have seen.
Two features of that file decide how much it is worth to you.
First, its scope. It covers individual and small group medical plans sold on the federal exchange. It does not cover large self funded employer medical plans, Medicare Advantage, Medicaid managed care, or standalone dental coverage. The dental benefit on the card in front of you is almost certainly not in it.
Second, its definitions. Each issuer counts denials against its own internal categories. A line refused for a mistyped member ID, a duplicate submission, a service the plan never covered and a service judged not medically necessary can all land in the same column. Analyses of the file commonly report average in network denial rates around one in five claims, with individual issuers spread from low single digits to something near half, and a figure close to one third has been widely quoted for UnitedHealthcare. The carrier's own public material puts its approval rate far higher. Mostly that tells you the two sides are counting different events.
| The published marketplace rate | Your dental remittances | |
|---|---|---|
| Line of business | Individual and small group medical | Dental, mostly employer sponsored |
| Who produces the number | The issuer, reporting to CMS | You, from posted EOBs |
| Unit counted | Claims, as the issuer defines them | Lines, as your system posts them |
| Rejections included | Often, and unlabeled | Only if you choose to include them |
| Reflects your coding and attachments | No | Directly |
| Useful for pricing a case | No | Yes |
Why a carrier level rate cannot predict your dental claims
Three structural reasons, and each one survives any improvement in the underlying data.
The employer picks the provisions. Group dental plans are assembled by the purchaser. Two patients holding identical looking cards can have different frequency limits, different waiting periods, a missing tooth clause on one policy and not the other, and annual maximums a thousand dollars apart. A carrier average is an average across thousands of those purchasing decisions. It cannot tell you whether this plan pays for this crown, which is the only question you actually have.
The name on the card is not always the adjudicator. Dental benefits are frequently administered by a separate arm of the company, through a leased network, or by a third party administrator working for the employer. The payer ID you submit to and the address on the remittance identify who is really adjudicating. If your denial log groups by the logo on the card, it is grouping the wrong thing, and two very different adjudicators are averaging each other out.
The two lines of business fail differently. Medical denials concentrate in prior authorization and medical necessity. Dental denials concentrate in frequency limits, missing radiographs and narratives, plan exclusions, exhausted annual maximums and coverage that terminated before the date of service. A payer that is aggressive about one is not automatically aggressive about the other.
So the honest answer to "does this payer deny more than the others" is that it depends on your coding, your documentation and the employer groups in your zip code. That sounds like a dodge until you realize it is also the reason the measurement is worth making: the number you produce is about your practice, so it points at something you can change.
Build the denial rate that actually applies to you
Pull twelve months of posted remittances, or six if your volume is high. Then settle the definitions, because a denial rate is worthless if the denominator moves between reports.
- Rejection. The claim never reached adjudication. A clearinghouse or payer front end bounced it for a bad subscriber ID, a missing NPI or an invalid date of service. There is no EOB. Count these separately. They are entirely yours to fix, and folding them in inflates every payer that happens to have a strict front end.
- First pass denial. The claim adjudicated and the line paid zero with a reason code attached. This is your numerator.
- Final denial. Still zero after appeal, and after the balance was billed to the patient where your contract allows it. This is real leakage, and it is the column tied to cash.
- Underpayment. The line paid, but below the contracted allowable or at a downgraded rate. Not a denial. Track it, on its own report.
The calculation is then first pass denied lines divided by adjudicated lines, grouped by payer and by month.
Count lines, not claims. A four line claim with one denied sealant is not a denied claim, and claim level counting hides the exact pattern you are hunting for. Rerun it monthly on a rolling twelve month window, because payer behavior shifts at plan year boundaries when frequency clocks reset and employers change contracts.
Here is what the output looks like. The numbers below are illustrative, not benchmarks.
| Payer | Adjudicated lines | First pass denials | Rate | Denied dollars | Still denied after appeal |
|---|---|---|---|---|---|
| Payer A | 1,840 | 96 | 5.2% | 11,400 | 3,100 |
| Payer B | 1,210 | 140 | 11.6% | 22,700 | 12,900 |
| Payer C | 960 | 41 | 4.3% | 3,200 | 900 |
| Payer D | 720 | 58 | 8.1% | 14,800 | 2,400 |
| Payer E | 415 | 12 | 2.9% | 1,100 | 300 |
Read it in three passes. The spread first: Payer B denies at better than twice the rate of Payer A, and that gap is the finding, not the practice average. The dollars second: Payer D denies less often than B but the denials are expensive, which means they are landing on major procedures. The last column third: Payer B keeps most of its denials after appeal, while Payer D gives almost all of them back, and those two facts call for completely different responses.
Read the reason codes before you argue with anyone
A denial rate tells you where to look. The claim adjustment reason codes tell you what is actually happening, and they sort cleanly into work that belongs to different people in your office.
| CARC | What the code says | What it usually means in dental | Where the fix lives |
|---|---|---|---|
| 16 | Claim lacks information or has a submission error | Missing radiograph, tooth number, surface or narrative | Your billing workflow |
| 18 | Exact duplicate claim or service | Resubmitted before the first one adjudicated | Your billing workflow |
| 27 | Expenses incurred after coverage terminated | Eligibility not rechecked on the day of service | Verification |
| 29 | The time limit for filing has expired | The claim sat in a work queue | Your billing workflow |
| 96 | Non covered charge | Plan exclusion, or a code the benefit does not recognize | Verification |
| 97 | Benefit included in the allowance for another service | Bundling: buildups into crowns, images into exams | Appeal, or the contract |
| 109 | Not covered by this payer, send to the correct payer | Wrong payer ID, or dental sent to the medical carrier | Your billing workflow |
| 119 | Benefit maximum for this period has been reached | Annual maximum exhausted | Verification |
| 151 | The information does not support this many services | Frequency limit hit | Verification |
| 197 | Precertification or authorization absent | Predetermination required and skipped | Your billing workflow |
| 204 | Not covered under the patient's current benefit plan | Exclusion, age limit, missing tooth clause | Verification |
Now the diagnosis is mechanical. If a payer's high rate is mostly 16, 18, 29 and 197, the variable is your office, and no amount of complaining to a provider rep will move it. Our list of the top 10 reasons for dental insurance claim denials covers those failure modes one at a time, and the five strategies for reducing dental claim denials covers the workflow changes that close them. If the rate is mostly 119, 151 and 204, the plan is behaving as designed and the fix is upstream, in what you verify before the patient sits down. Software that checks frequency history and remaining maximum on the morning of the visit prevents these outright, which is the practical case for using automation to prevent claim denials. If the rate is mostly 97, you are in a bundling argument, and that is a contract conversation rather than a coding one.
When one payer really is the outlier
Suppose Payer B holds up. Before escalating, work through this in order.
- Pull twenty denials and group by employer group, not by carrier. It is common for a carrier's ugly number to be one self funded employer plan with an unusual exclusion set, which changes the entire conversation.
- Confirm the claims went to the right adjudicator. Check the payer ID you submitted against the remittance. Misrouted claims produce denials that look like payer behavior.
- Check your own behavior on that payer specifically. Attachment rules, predetermination thresholds and filing windows vary by payer, and staff habits drift toward whatever the busiest payer requires.
- Take numbers to the provider representative. Claim volume, denied dollars, the reason code mix and the date range. A list of five claim numbers gets a list of five answers. A pattern gets a meeting.
- Appeal inside the window. Deadlines vary by plan and are commonly quoted between 90 and 180 days from the remittance date, but the plan document governs and some are shorter. Our guide to disputing a dental insurance denial for braces walks through an appeal packet that holds up, and the same structure works for restorative cases.
- Escalate to the right regulator. A fully insured plan is regulated by your state insurance department. A self funded employer plan falls under federal ERISA rules and the US Department of Labor, and the state department generally cannot act on it. Most states also set a clean claim payment deadline, commonly in the 30 to 45 day range. As of this writing these are the general contours, and rules change, so confirm the current process and timelines with your state insurance department before you file anything.
- Ask whether it is a rate problem wearing a denial costume. Bundled and downgraded lines depress collections without ever showing up as a denial, which is the territory covered in maximizing dental insurance reimbursement rates.
One caution on step 4. Never tell a payer that your denial rate with them is high without checking your own reason code mix first. If half of it is code 16, you have handed them the argument.
The comparison worth running
Carrier rankings make for good headlines and poor operations. They measure a different line of business, a different population and a different definition of the word denial, and they cannot tell you anything about the employer group that just added twelve families to your schedule. Curo builds this measurement from your own remittances, matching each reason code back to the estimate that was quoted, so the denial rate you look at is broken out by payer and by cause rather than being one number for the whole practice, and you can see where the work belongs in denial management.
You do not need a vendor to start, though. Twelve months of remittances, denied lines over adjudicated lines, split by payer and by reason code. It takes an afternoon with a spreadsheet, and by the end of it the question has changed from whether a carrier is worse than the others to which five rows of your own report you are going to work on Monday.