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.

A Systematic Review of Conceptual Frameworks of Medical Complexity and New Model Development.

BACKGROUND: Patient complexity is often operationalized by counting multiple chronic conditions (MCC) without considering contextual factors that can affect patient risk for adverse outcomes. OBJECTIVE: Our objective was to develop a conceptual model of complexity addressing gaps identified in a review of published conceptual models. DATA SOURCES: We searched for English-language MEDLINE papers published between 1 January 2004 and 16 January 2014. Two reviewers independently evaluated abstracts and all authors contributed to the development of the conceptual model in an iterative process. RESULTS: From 1606 identified abstracts, six conceptual models were selected. One additional model was identified through reference review. Each model had strengths, but several constructs were not fully considered: 1) contextual factors; 2) dynamics of complexity; 3) patients' preferences; 4) acute health shocks; and 5) resilience. Our Cycle of Complexity model illustrates relationships between acute shocks and medical events, healthcare access and utilization, workload and capacity, and patient preferences in the context of interpersonal, organizational, and community factors. CONCLUSIONS/IMPLICATIONS: This model may inform studies on the etiology of and changes in complexity, the relationship between complexity and patient outcomes, and intervention development to improve modifiable elements of complex patients.

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.

Association between the choice of IV crystalloid and in-hospital mortality among critically ill adults with sepsis*.

OBJECTIVE: Isotonic saline is the most commonly used crystalloid in the ICU, but recent evidence suggests that balanced fluids like Lactated Ringer's solution may be preferable. We examined the association between choice of crystalloids and in-hospital mortality during the resuscitation of critically ill adults with sepsis. DESIGN: A retrospective cohort study of patients admitted with sepsis, not undergoing any surgical procedures, and treated in an ICU by hospital day 2. We used propensity score matching to control for confounding and compared the following outcomes after resuscitation with balanced versus with no-balanced fluids: in-hospital mortality, acute renal failure with and without dialysis, and hospital and ICU lengths of stay. We also estimated the dose-response relationship between receipt of increasing proportions of balanced fluids and in-hospital mortality. SETTING: Three hundred sixty U.S. hospitals that were members of the Premier Healthcare alliance between November 2005 and December 2010. PATIENTS: A total of 53,448 patients with sepsis, treated with vasopressors and crystalloids in an ICU by hospital day 2 including 3,396 (6.4%) that received balanced fluids. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Patients treated with balanced fluids were younger and less likely to have heart or chronic renal failure, but they were more likely to receive mechanical ventilation, invasive monitoring, colloids, steroids, and larger crystalloid volumes (median 7 vs 5 L). Among 6,730 patients in a propensity-matched cohort, receipt of balanced fluids was associated with lower in-hospital mortality (19.6% vs 22.8%; relative risk, 0.86; 95% CI, 0.78, 0.94). Mortality was progressively lower among patients receiving larger proportions of balanced fluids. There were no significant differences in the prevalence of acute renal failure (with and without dialysis) or in-hospital and ICU lengths of stay. CONCLUSIONS: Among critically ill adults with sepsis, resuscitation with balanced fluids was associated with a lower risk of in-hospital mortality. If confirmed in randomized trials, this finding could have significant public health implications, as crystalloid resuscitation is nearly universal in sepsis.

Providing patient education: impact on quantity and quality of family health history collection.

BACKGROUND: Family health history (FHH) is an underutilized tool in primary care to identify and risk-stratify individuals with increased cancer risk. OBJECTIVE: Evaluate the influence of patient education on quantity and quality of FHH entered into a primary care-based software program, and impact on the program's cancer risk management recommendations. DESIGN: Two primary care practices within a larger type II hybrid implementation-effectiveness controlled clinical trial. PARTICIPANTS: English speaking non-adopted patients with a well visit appointment December 2012-March 2013. INTERVENTIONS: One to two weeks prior to their well visit appointment, participants entered their FHH into the program. PARTICIPANTS were then provided educational materials describing key FHH components. They were instructed to use the interval to collect additional FHH information. Patients then returned for their scheduled appointment, and updated their FHH with any new information. MAIN MEASURES: Percentage per pedigree of relatives meeting individual quality criteria. Changes made after patient education and changes to recommendations for surveillance, chemoprevention or genetic counseling referral. KEY RESULTS: Post patient education, pedigrees exhibited a greater percentage (per pedigree) of: deceased relatives with age at death (84 vs. 81 % p = 0.02), deceased relatives with cause of death (91 vs. 87 % p = 0.02), relatives with a named health condition (45 vs. 42 % p = 0.002), and a greater percentage of relatives with high quality records (91 vs. 89 % p = 0.02). Of 43 participants with pedigree changes that could trigger changes in risk stratified prevention recommendations, 12 participants (28 %) received such changes. CONCLUSIONS: Patient education improves FHH collection and subsequent risk stratification utilized in providing actionable evidence-based care recommendations for cancer risk management.