Participation in a Medicare advanced primary care model and the delivery of high-value services.

OBJECTIVE: To evaluate whether primary care providers' participation in the Comprehensive Primary Care Plus Initiative (CPC+) was associated with changes in their delivery of high-value services. DATA SOURCES: Medicare Physician & Other Practitioners public use files from 2013 to 2019, 2017 to 2019 Medicare Part B claims for a 5% random sample of Medicare Fee-for-Service (FFS) beneficiaries, the Area Health Resources File, the National Plan & Provider Enumeration System files, and public use datasets from the Centers for Medicare & Medicaid Services Physician Compare. STUDY DESIGN: We used a difference-in-difference approach with a propensity score-matched comparison group to estimate the association of CPC+ participation with the delivery of annual wellness visits (AWVs), advance care planning (ACP), flu shots, counseling to prevent tobacco use, and depression screening. These services are prominent examples of high-value services, providing benefits to patients at a reasonable cost. We examined both the likelihood of delivering these services within a year and the count of services delivered per 1000 Medicare FFS beneficiaries per year. DATA COLLECTION/EXTRACTION METHODS: Secondary data are linked at the provider level. PRINCIPAL FINDINGS: We find that CPC+ participation was associated with increases in the likelihood of delivering AWVs (13.03 percentage points by CPC+'s third year, p < 0.001) and the number of AWVs per 1000 Medicare FFS beneficiaries (44 more AWVs by CPC+'s third year, p < 0.001). We also find that CPC+ participation was associated with more flu shots per 1000 beneficiaries (52 more shots by CPC+'s third year, p < 0.001) but not with the likelihood of delivering flu shots. We did not find consistent evidence for the association between CPC+ participation and ACP services, counseling to prevent tobacco use, or depression screening. CONCLUSIONS: CPC+ participation was associated with increases in the delivery of AWVs and flu shots, but not other high-value services.

Duration of medical home participation and quality of care for patients with chronic conditions.

OBJECTIVE: To examine whether the length of participation in a patient-centered medical home (PCMH), an evidence-based practice, leads to higher quality care for Medicaid enrollees with multiple co-morbid chronic conditions and major depressive disorder (MDD). DATA SOURCES: This analysis uses a unique data source that links North Carolina Medicaid claims and enrollment data with other administrative data including electronic records of state-funded mental health services, a state psychiatric hospital utilization database, and electronic records from a five-county behavioral health carve-out program. STUDY DESIGN: This retrospective cohort study uses generalized estimating equations (GEEs) on person-year-level observations to examine the association between the duration of PCMH participation and measures of guideline-concordant care, including the receipt of minimally adequate care for MDD, defined as 6 months of antidepressant use or eight psychotherapy visits each year. DATA COLLECTION/EXTRACTION METHODS: Adults with two or more chronic conditions reflected in administrative data, including MDD. PRINCIPAL FINDINGS: We found a 1.7 percentage point increase in the likelihood of receiving guideline-concordant care at 4 months of PCMH participation, as compared to newly enrolled individuals with a single month of participation (p < 0.05). This effect increased with each additional month of PCMH participation; 12 months of participation was associated with a 19.1 percentage point increase in the likelihood of receiving guideline-concordant care over a single month of participation (p < 0.01). CONCLUSIONS: The PCMH model is associated with higher quality of care for patients with multiple chronic conditions and MDD over time, and these benefits increase the longer a patient is enrolled. Providers and policy makers should consider the positive effect of increased contact with PCMHs when designing and evaluating initiatives to improve care for this population.

Implementing family health history risk stratification in primary care: impact of guideline criteria on populations and resource demand.

UNLABELLED: The Genomic Medicine Model aims to facilitate patient engagement, patient/provider education of genomics/personalized medicine, and uptake of risk-stratified evidence-based prevention guidelines using MeTree, a patient-facing family health history (FHH) collection and clinical decision support (CDS) program. Here we report the number of increased risk (above population-level risk) patients identified for breast/ovarian cancer, colon cancer, hereditary syndrome risk, and thrombosis; the prevalence of FHH elements triggering increased-risk status; and the resources needed to manage their risk. STUDY DESIGN: hybrid implementation-effectiveness study of adults with upcoming well-visits in 2 primary care practices in Greensboro, NC. PARTICIPANTS: 1,184, mean age = 58.8, female = 58% (N = 694), non-white = 20% (N = 215). Increased Risk: 44% (N = 523). RECOMMENDATIONS: genetic counseling = 26% (N = 308), breast MRI = 0.8% (N = 10), breast chemoprophylaxis = 5% (N = 58), early/frequent colonoscopies = 19% (N = 221), ovarian cancer screening referral = 1% (N = 14), thrombosis testing/counseling = 2.4% (N = 71). FHH elements: 8 FHH elements lead to 37.3% of the increased risk categorizations (by frequency): first-degree-relative (FDR) with polyps age ≥60 (7.1%, N = 85), three relatives with Lynch-related cancers (5.4%, N = 65), FDR with polyps age <60 (5.1%, N = 61), three relatives on same side of family with same cancer (4.9%, N = 59), Gail score ≥1.66% (4.9%, N = 58), two relatives with breast cancer (one ≤age 50) (4.1%, N = 49), one relative with breast cancer ≤age 40 (4.1%, N = 48), FDR with colon cancer age ≥60 (1.7%, N = 20). MeTree identifies a high percentage of individuals in the general primary care population needing non-routine risk management/prevention for the selected conditions. Implementing risk-stratification in primary care will likely increase demand for related-resources, particularly colon screening and GC. Understanding the prevalence of FHH elements helps predict resource needs and may aid in guideline development.