Improving Hierarchical Condition Category Coding by Family Medicine Residents Using a Web-Based, Interactive Module

Background and Objectives: The proper documentation of Hierarchical Condition Category (HCC) codes is essential for risk-adjusted reimbursement, chart accuracy, and clinical communication within primary care, but represents a significant training gap in resident education. Our goal was to improve the understanding and confidence level of family medicine residents with HCC coding during outpatient primary care visits. Methods: We developed and distributed a web-based, interactive module to family medicine residents at our academic institution. We assessed module impact through pre- and postsurveys focusing on knowledge, confidence, and experience with HCC coding. Results: Twenty-eight of 48 preeducation surveys were returned (response rate of 58%), including 16 junior (PGY-1-2) and 12 senior (PGY-3-4) residents. A majority of residents answered each HCC knowledge question correctly. Median baseline confidence with HCC coding for all respondents was 4 (interquartile range [IQR]: 2, 6; scale 0-10; 10=most confident): senior residents 6 (IQR: 5, 7) versus junior residents 2 (IQR: 2, 4). Forty-six percent of respondents noted some previous education on HCC codes, including 75% of senior vs 25% of junior residents. Twenty-six residents completed the educational module. Posttest surveys (n=5, response rate: 19%) demonstrated median confidence of 7 (IQR: 4, 8.5). Conclusions: Family medicine residents displayed a high degree of knowledge but low confidence with HCC coding. Posteducation surveys suggest the possibility of a positive impact of our e-module, though further intervention roll out and data collection are needed to evaluate this effect.

Centers for Medicare & Medicaid Services Hierarchical Condition Category score as a predictor of readmission and reoperation following elective inpatient spine surgery

OBJECTIVEA universal, objective predictor of postoperative resource utilization following inpatient spine surgery has not been clearly established. The Centers for Medicare & Medicaid Services (CMS) Hierarchical Condition Category (HCC) risk adjustment model, based on a formula using patient demographics and coded diagnoses, is currently used to prospectively estimate financial risk in Medicare Advantage patients; however, the value of this score as a clinical tool is currently unknown. The authors present an analysis evaluating the utility of the CMS HCC score as a universal predictive tool for patients undergoing inpatient spine surgery.METHODSA total of 1966 consecutive patients (551 with lumbar laminectomy [LL] alone, 592 with lumbar laminectomy and fusion [LF], and 823 with anterior cervical discectomy and fusion [ACDF]) undergoing inpatient spine surgery at a single institution from January 2014 to May 2018 were included in this retrospective outcomes study. Perioperative outcome measures included procedure time, 30-day readmission, reoperation, hospital length of stay (LOS), opioid utilization measured by morphine milligram equivalents (MMEs), and cost of inpatient hospitalization (in US dollars). Published CMS algorithms were incorporated into the electronic health records and used to calculate HCC scores for all patients. Patients were stratified into HCC score quartiles. Linear regression was performed on LOS, procedure time, inpatient opioid consumption, discharge opioid prescriptions, and cost to identify predictors of HCC quartiles when controlling for procedure type. One-way ANOVA and Pearson’s chi-square analysis were used to compare perioperative outcomes stratified by HCC score.RESULTSAcross all procedures, the HCC score demonstrated significant association with 30-day readmission (OR 1.45, 95% CI 1.11–1.91, p = 0.007). The average BMI, median American Society of Anesthesiologists score, and 30-day readmission rate were similar across procedures (LL: 30.6 kg/m2, 2, 3.6%; LF: 30.6 kg/m2, 2, 4.6%; ACDF: 30.2 kg/m2, 2, 3.9%; p = 0.265, 0.061, and 0.713, respectively). LOS (p < 0.0001), duration of procedure (p < 0.0001), discharge MME (p = 0.031), total cost (p < 0.001), daily MME (p < 0.001), reoperation (p < 0.001), and 30-day readmission rate (p < 0.001) were significantly different between HCC quartiles.CONCLUSIONSThe HCC score may hold value as an objective, automated predictor of postoperative resource utilization and outcomes, including readmission and reoperation. This may have value as a universal, reproducible tool to target clinical interventions for higher-risk patients.