Case Study: NCQA Diabetes Recognition for a Multi-Clinician Primary Care Group

Background

A primary care group practice with a large diabetic patient panel engaged IHS after a Medicare Advantage plan updated its preferred network criteria to include NCQA DRP recognition as a quality indicator for high-value primary care providers. The group had strong diabetes care practices — clinicians were following ADA guidelines and the practice had good HbA1c management rates — but had never formally participated in DRP recognition and had no infrastructure for the digital data submission the refreshed DRP requires.

The group's medical director recognized a secondary opportunity: several clinicians were in ACO shared savings arrangements where diabetes measure performance contributed to quality bonuses. Participating in DRP would provide a structured framework for monitoring and improving diabetes measure performance across the clinician group — not just for recognition purposes, but for optimizing ACO performance.

Initial Assessment Findings

Data System Readiness

The practice's EHR was capable of generating the required clinical data but had not been configured for DRP-specific data exports. The fields capturing retinal examination referrals and results, nephropathy assessments, and foot examination documentation were inconsistently coded across clinicians — some using structured data fields, others documenting in free text that the EHR could not extract for the CSV export. This created a data quality problem that required remediation before any submission could be prepared.

Measure Performance Baseline

IHS conducted a baseline measure performance analysis across all target clinicians using a sample extract from the EHR. Key findings:

• HbA1c testing: Strong — above 90% for all clinicians, well above typical recognition thresholds
• Blood pressure documentation: Strong — consistently documented in structured EHR fields
• Retinal examination: Variable — two clinicians had referral rates above 70%, three had rates below 50%, primarily because retinal referral documentation was in free text rather than structured fields
• Nephropathy assessment: Moderate — urine microalbumin testing was being performed but not consistently documented in codeable fields
• Smoking cessation counseling: Weak — counseling was occurring verbally but was rarely documented in a way the EHR could extract

2026 Measure Readiness

The practice had not implemented systematic CGM utilization tracking or depression screening workflows — both required for the January 2026 new measures. Given the engagement timeline, IHS recommended beginning depression screening workflow development in parallel with the initial recognition cycle preparation to avoid a year-end scramble.

IHS Consulting Approach

Phase 1: EHR Data Remediation (Months 1–3)

IHS worked with the practice's EHR administrator to restructure documentation templates for retinal examination, nephropathy assessment, and smoking cessation counseling — converting free-text documentation practices to structured field entries that the EHR could extract for CSV export. Staff training was delivered to ensure all clinicians and medical assistants documented in the new structured format consistently.

A parallel effort addressed the smoking cessation documentation gap specifically — a structured counseling documentation template was added to the diabetic patient visit workflow, making it a prompted action rather than an ad hoc verbal conversation without documentation.

Phase 2: Performance Gap Remediation (Months 2–4)

For the three clinicians with low retinal referral rates, IHS identified that the gap was primarily a documentation capture problem rather than a clinical practice gap — clinicians were making referrals verbally but not entering them in the structured EHR field. Once the documentation template was corrected, retinal referral capture rates improved significantly within two months. IHS monitored a monthly data extract to track improvement trajectory before the submission window.

Phase 3: Data Submission Preparation (Months 4–5)

IHS prepared the CSV data files for each target clinician — validating data completeness and accuracy, confirming that the 25-patient random sample requirements were met, and preparing the demographic questionnaire. For three clinicians whose patient panels were at or near the 25-patient minimum, IHS confirmed that the samples were truly random (not cherry-picked) and met NCQA's sampling requirements.

Phase 4: Submission and Initial Recognition (Month 6)

IHS submitted data for all target clinicians. NCQA recognized all clinicians in the first submission cycle. Two clinicians received performance notes on specific measures — not recognition failures but informational flags. IHS reviewed these with the clinicians and adjusted documentation practices for the following annual cycle.

Ongoing: Annual Cycle Management and 2026 Measure Preparation

IHS has supported two subsequent annual recognition cycles for the group. For the 2026 cycle, IHS guided implementation of depression screening workflows and CGM utilization tracking in advance of the January 2026 effective date — ensuring the group was not caught unprepared when the new measures became active.

Outcomes

• NCQA DRP Recognition achieved for all target clinicians on first submission cycle
• Medicare Advantage preferred network criteria satisfied — contract positioning improved
• Retinal referral documentation rates improved from below 50% to above 75% for the three clinicians with prior gaps — a clinical quality improvement beyond recognition compliance
• Smoking cessation counseling documentation rate improved from near-zero structured capture to above 80% — enabling the practice to demonstrate counseling delivery that was previously occurring but invisible in the data
• Two subsequent annual recognition cycles completed without issues
• Depression screening workflow and CGM tracking implemented ahead of January 2026 measure effective dates

Key Lesson

The most common DRP preparation failure is conflating clinical performance with data capture performance. Clinicians who are delivering high-quality diabetes care often have significant data capture gaps — retinal referrals in free text, counseling documented narratively, nephropathy assessments buried in visit notes. These are invisible to NCQA's data evaluation and to the practice's own performance monitoring. The DRP preparation process — when done correctly — surfaces data capture failures that mask real clinical quality, and fixing them improves both the recognition outcome and the practice's ability to monitor its own performance going forward.