Medicaid Provider SpendingClaims paid 2018–2024 · HHS public file
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Dental

Matthew C Roller DDS LLC

Matthew C Roller DDS LLC was paid $10K by Medicaid between Jan 2018 and Aug 2020, across 5 billing codes. Its largest line is D1206, Topical application of fluoride varnish — 45% of everything it billed.

33Billing provider infoMATTHEW C ROLLER DDS LLC
STAUNTON, VA 24401
33aNPI1346663390assigned 01/28/2014
28Total paid$10K
24GClaims469
24DCodes billed5
24AFirst – last monthJan 2018 – Aug 2020
Compared with peers

Next to other General Practice Dentistry providers in Virginia

Rank by total paid#355 of 549
Median peer was paid$29K
This provider vs. median0.3×

Peers share this provider's primary NPPES type and state. Size alone says nothing about billing quality: a big agency or a hospital system is expected to sit far above the median.

Box 24A · Dates of service

Paid by month

$0$1.0K$2.0K2018201920202021202220232024
Paid that monthNov–Dec 2024: claims still arriving when the file was cut, so these months run low for every provider
By year, as a table
YearClaimsPaid
2018286$6K
2019139$2K
202044$904.52
Box 24 · Service lines

What it billed for

CodeServiceShareClaimsBene. recordsPaid
D1206 Topical application of fluoride varnish 45% 217 217 $4K
D0120 Dental checkup, returning patientPeriodic oral evaluation - established patient 39% 201 201 $4K
D1120 Dental cleaning, childProphylaxis - child 8.1% 27 27 $770.96
D1110 Prophylaxis - adult 5.0% 12 12 $476.09
D0274 Bitewings - four radiographic images 3.5% 12 12 $331.20

Claims and beneficiary counts add up across code × month rows, so one patient seen every month counts many times. Rows with fewer than 12 claims are suppressed by HHS, so small lines can be missing.

From NPPES

Who's on the registration

Authorized officialROLLER, MATTHEW (DENTIST)
Same official

Other billing entities under ROLLER, MATTHEW

Full network →
ProviderLocationPaid
Roller NeurologyGrand Forks, ND$170K

Matched on the authorized-official name exactly as entered in NPPES. A common name can match unrelated people.