Number Of Primary Care Providers Research Articles

The Impact of Market Factors on Meaningful Use of Electronic Health Records Among Primary Care Providers: Evidence From Florida Using Resource Dependence Theory and Information Uncertainty Perspective.

Using federal funds from the 2009 Health Information Technology for Economic and Clinical Health Act, the Centers for Medicare and Medicaid Services funded the 2011-2021 Medicaid electronic health record (EHR) incentive programs throughout the country. Identify the market factors associated with Meaningful Use (MU) of EHRs after primary care providers (PCPs) enrolled in the Florida-EHR incentives program through Adopting, Improving, or Upgrading (AIU) an EHR technology. Retrospective cohort study using 2011-2018 program records for 8464 Medicaid providers. MU achievement after first-year incentives. The resource dependence theory and the information uncertainty perspective were used to generate key-independent variables, including the county's rurality, educational attainment, poverty, health maintenance organization penetration, and number of PCPs per capita. All the county rates were converted into 3 dichotomous measures corresponding to high, medium, and low terciles. Descriptive and bivariate statistics were calculated. A generalized hierarchical linear model was used because MU data were clustered at the county level (level 2) and measured at the practice level (level 1). Overall, 41.9% of Florida Medicaid providers achieved MU after receiving first-year incentives. Rurality was positively associated with MU ( P <0.001). Significant differences in MU achievements were obtained when we compared the "high" terciles with the "low" terciles for poverty rates ( P =0.002), health maintenance organization penetration rates ( P =0.02), and number of PCPs per capita ( P =0.01). These relationships were negative. Policy makers and health care managers should not ignore the contribution of market factors in EHR adoption.

Beyond competence and retention: Developing a comprehensive evaluation framework for a rural primary care nurse practitioner residency program.

With the rise in nurse practitioner (NP) residency programs, evaluations have largely focused on retention and competency completion for residents. There is a need for expanded evaluation to ensure the sustainability of NP residency programs, to ensure timely adaptations to address resident satisfaction, and to solidify a long-term pathway of NPs well prepared for rural practice. We created a family nurse practitioner (FNP) residency program with a comprehensive evaluation framework to prepare residents for practice in rural settings. The evaluation framework was developed through collaborative engagement of an external evaluation team, program leadership, and clinical site representatives. The evaluation framework of the FNP residency program combined resident assessment and holistic program evaluation, using a rapid continuous quality improvement (QI) approach. The evaluation considered three distinct perspectives: the resident, the peer coach, and the clinical site. The rapid continuous QI approach allowed program leadership to respond swiftly to programmatic challenges, improve the residency program in response to residents' reported experiences, and emphasize sustainability for continued program impact, while assessing residents' learning and performance. The program's data-driven evaluation approach has demonstrated its success in meeting the goals of the Health Resources and Services Administration funding by increasing the number of primary care providers in rural settings. The program's expansion and continued success have further validated the efficacy of this evaluation framework in assessing, improving, and ensuring the sustainability of APRN residency programs. This article calls for the adoption of similar evaluation strategies in future residency programs to promote their long-term success and impact in rural health care settings.

The impact of county-level factors on meaningful use of electronic health records (EHRs) among primary care providers.

This study examines the impact of county-level factors on "meaningful use" (MU) of electronic health records (EHRs) for 8415 primary care providers (PCPs) that enrolled in the Florida Medicaid EHR Incentive Program through adopting, improving, or upgrading (AIU) a certified EHR technology. PCPs received incentive payments at enrollment and if they used their EHRs in meaningful ways; ways that benefit patients and providers alike they received additional payments. We conducted a retrospective cohort study of these providers over the 2011-2018 period while linking their records to other state data. We used the core constructs of the resource dependence theory (RDT), a well-established organization theory in business management, to operationalize the county-level variables. These variables were rurality, poverty, educational attainment, managed care penetration, changes in population, and number of PCPs per capita. The unit of analysis was provider-years. For practical and computational purposes, all the county variables were dichotomized. We used analysis of variance (ANOVA) to test for differences in MU attestation rates across each county variable. Odds ratios and corresponding 95% confidence intervals were derived from pooled logistic regressions using generalized estimated equations (GEE) with the binomial family and logit link functions. Clustered standard errors were used. Approximately 42% of these providers attested to MU after receiving first-year incentives. Rurality and poverty were significantly associated with MU. To some degree, managed care penetration, change in population size, and number of PCPs per capita were also associated with MU. Policy makers and healthcare managers should not ignore the contribution of county-level factors in the diffusion of EHRs among physician practices. These county-level findings provide important insights about EHR diffusion in places where traditionally underserved populations live. This county-perspective is particularly important because of the potential for health IT to enable public health monitoring and population health management that might benefit individuals beyond the patients treated by the Medicaid providers.

Relationship Between Availability of Urologists and Primary Care Providers and Stage of Diagnosis for Invasive Urinary Bladder Cancer.

With no recommended screening approach, urinary bladder cancer patients rely on referral to urologists to ensure timely diagnosis of bladder cancer. This requires coordination between primary and specialty care. We provide estimates of the relative association between primary care physician and urologist density on stage of urinary bladder cancer diagnosis. We used 2010 to 2016 Pennsylvania Cancer Registry data to identify all adult patients diagnosed with bladder cancer. Our primary outcome was locoregional stage of diagnosis, since treatment modality changes and prognosis worsens beyond this stage. Based on patient's residential location at the time of diagnosis we defined both density of urologists and number of primary care providers (defined as providers per population) within the patient's county. We used univariate and multivariate logistic regression to estimate the association between provider density and likelihood of locoregional stage of diagnosis. We also controlled for age, sex, race/ethnicity, insurance type, and year. Our sample included 11,771 urinary bladder cancer patients with 10,607 diagnosed at locoregional stage and 1164 at distant stage. Multivariate regression results show primary care density was associated with significantly higher odds of locoregional stage of diagnosis (odds ratio of 1.05 [95% CI: 1.02-1.08]) while urologist density was associated with significantly lower odds of locoregional stage (odds ratio of 0.65 [95% CI: 0.48-0.89]). We found primary care density but not urologist density was associated with earlier stage of diagnosis, highlighting the importance of access to primary care and need for timely referral to urologic care.

Effects of extending residencies on the supply and quality of family medicine practitioners; difference-in-differences evidence from the implementation of mandatory family medicine residencies in Canada.

I examine the impacts of extending residency training programs on the supply and quality of physicians practicing primary care. I leverage mandated extended residency lengths for primary care practitioners that were rolled out over 20years in Canada on a province-by-province basis. I compare these primary care specialties to other specialties that did not change residency length (first difference) before and after the policy implementation (second difference) to assess how physician supply evolved in response. To examine quality outcomes, I use a set of scraped data and repeat this difference-in-differences identification strategy for complaints resulting in censure against physicians in Ontario. I find declines in the number of primary care providers by 5% for up to 9years after the policy change. These changes are particularly pronounced in new graduates and younger physicians, suggesting that the policy change dissuaded these physicians from entering primary care residencies. I find no impacts on quality of physicians as measured by public censure of physicians. This suggests that extending primary care training caused declines in physician supply without improvement in the quality of these physicians. This has implications for current plans to extend residency training programs.

Rationale, design, and protocol for a hybrid type 1 effectiveness-implementation trial of a proactive smoking cessation electronic visit for scalable delivery via primary care: the E-STOP trial

BackgroundCigarette smoking remains the leading cause of preventable disease and death in the United States. Primary care offers an ideal setting to reach adults who smoke cigarettes and improve uptake of evidence-based cessation treatment. Although U.S. Preventive Services Task Force Guidelines recommend the 5As model (Ask, Advise, Assess, Assist, Arrange) in primary care, there are many barriers to its implementation. Automated, comprehensive, and proactive tools are needed to overcome barriers. Our team developed and preliminarily evaluated a proactive electronic visit (e-visit) delivered via the Electronic Health Record patient portal to facilitate evidence-based smoking cessation treatment uptake in primary care, with promising initial feasibility and efficacy. This paper describes the rationale, design, and protocol for an ongoing Hybrid Type I effectiveness-implementation trial that will simultaneously assess effectiveness of the e-visit intervention for smoking cessation as well as implementation potential across diverse primary care settings.MethodsThe primary aim of this remote five-year study is to examine the effectiveness of the e-visit intervention vs. treatment as usual (TAU) for smoking cessation via a clinic-randomized clinical trial. Adults who smoke cigarettes are recruited across 18 primary care clinics. Clinics are stratified based on their number of primary care providers and randomized 2:1 to either e-visit or TAU. An initial baseline e-visit gathers information about patient smoking history and motivation to quit, and a clinical decision support algorithm determines the best evidence-based cessation treatment to prescribe. E-visit recommendations are evaluated by a patient’s own provider, and a one-month follow-up e-visit assesses cessation progress. Main outcomes include: (1) cessation treatment utilization (medication, psychosocial cessation counseling), (2) reduction in cigarettes per day, and (3) biochemically verified 7-day point prevalence abstinence (PPA) at six-months. We hypothesize that patients randomized to the e-visit condition will have better cessation outcomes (vs. TAU). A secondary aim evaluates e-visit implementation potential at patient, provider, and organizational levels using a mixed-methods approach. Implementation outcomes include acceptability, adoption, fidelity, implementation cost, penetration, and sustainability.DiscussionThis asynchronous, proactive e-visit intervention could provide substantial benefits for patients, providers, and primary care practices and has potential to widely improve reach of evidence-based cessation treatment.Trial registrationNCT05493254.

Measuring restrictiveness of Medicare Advantage networks: A claims-based approach.

To develop and validate a measure of provider network restrictiveness in the Medicare Advantage (MA) population. Prescription drug event data and beneficiary information for Part D enrollees from the Center for Medicare and Medicaid Services, along with prescriber identifiers; geographic variables from the Area Health Resources Files. A prediction model was used to predict the unique number of primary care providers that would have been seen by MA beneficiaries absent network restrictions. The model was trained and validated on Traditional Medicare (TM) beneficiaries. A pseudo-Poisson and a random forest model were evaluated. An observed-to-expected (O/E) ratio was calculated as the number of unique providers seen by MA beneficiaries divided by the number expected based the TM prediction model. Multivariable linear models were used to assess the relationship between network restrictiveness and plan and market factors. Prescription drug event data were obtained for a 20% random sample of beneficiaries enrolled in prescription drug coverage from 2011 to 2017. Health Maintenance Organization plans were more restrictive (O/E = 55.5%; 95% CI 55.3%-55.7%) than Health Maintenance Organization-Point of Service plans (67.2%; 95% CI 66.7%-67.8%) or Preferred Provider Organization plans (74.7%; 95% CI 74.3%-75.1%), and rural areas had more restrictive networks (31.6%; 95% CI 29.0%-34.2%) than metropolitan areas (61.5%; 95% CI 61.3%-61.7%). Multivariable results confirmed these findings, and also indicated that increased provider supply was associated with less restrictive networks. We developed a means of estimating provider network restrictiveness in MA from claims data. Our results validate the approach, providing confidence for wider application (e.g., for other markets and specialties) and use for regulation.

Health Benefits In 2023: Premiums Increase With Inflation And Employer Coverage In The Wake Of Dobbs.

In 2023 the average annual premium for employer-sponsored family health insurance coverage was $23,968-an increase of $1,505 (7percent) from 2022. Both single and family premiums increased faster in 2023 than in 2022, in a period of generally high inflation throughout the US economy. On average, covered workers contributed 17percent ($1,401) of the cost of single coverage and 29percent ($6,575) of the cost of family coverage. When compared to employers' perceptions of the number of primary care providers in their networks, a smaller share of employers believed that their provider networks had a sufficient number of mental health and substance abuse providers to provide timely access to services. One-quarter of employers indicated that their employees had a "high" level of concern with the level of cost sharing required by their plans. When asked about abortion coverage in the wake of the Supreme Court Dobbs decision, almost a third of large employers reported that their largest plan covered abortion in most or all circumstances.

Continuity of primary care and emergency department visits following knee and hip replacement surgery: a retrospective cohort study.

Continuity of primary care (CPC) improves patient well-being, but the association between CPC and surgical outcomes has not been well studied. The numbers of joint replacement procedures are expected to rise considerably in the coming years, so it is crucial to identify factors related to successful outcomes. The purpose of this study was to examine the association between CPC and emergency department (ED) visits after knee and hip replacement surgery. Physician claims and hospital data from 2005 to 2020 in Nova Scotia were used in this retrospective study. To measure CPC, we used the Modified Modified Continuity Index (MMCI), which is the number of primary care providers adjusted for the total number of visits. The outcome was ED visits within 90 days of discharge. Logistic regression was used to test for associations between MMCI and the probability of an ED visit. There were 28 574 knee and 16 767 hip procedures in the data set; 13.9% (95% confidence interval [CI] 13.5%-14.3%) and 13.5% (95% CI 13.0%-14.0%) of the patients, respectively, had an ED visit within 90 days. For patients who underwent knee procedures, the mean MMCI was 0.868 (95% CI 0.867-0.870); 10.7% (95% CI 10.4 %-11.1 %) had perfect continuity of care. For patients who underwent hip procedures, the corresponding measures were 0.864 (95% CI 0.862-0.866) and 13.5% (95% CI 13.0%-14.0%). There was a statistically significant negative association between greater continuity of care and the probability of an ED visit after controlling for confounders. Having multiple primary care providers before surgery increased the likelihood of negative outcomes following knee or hip replacement surgery compared with having a single provider. Presurgical conversations should include primary care history to improve postsurgical outcomes.

Barriers and facilitators for accessing and prescribing hormone therapy in primary care for transgender adults: a scoping review protocol.

The objective of this scoping review is to understand the extent and type of evidence in relation to barriers and facilitators experienced by transgender adults in accessing hormone therapy. It will also explore the experiences of primary care practitioners in prescribing hormone therapy in primary care. Providing care to transgender patients is a rapidly growing area of primary care. Despite the existence of clinical practice guidelines that support the prescription of gender-affirming hormone therapy in primary care, only a small number of primary care providers are offering this care. This review will seek to advance research on this topic by examining the barriers and facilitators of hormone prescription for transgender adults in primary care. This review will consider research on primary care practitioners who prescribe hormone therapy to transgender adults. It will also focus on transgender adults who seek hormone therapy in primary care. Only studies that examine barriers and facilitators in primary care will be included. The review will include qualitative, quantitative, and mixed methods studies, in addition to systematic reviews and meta-analyses. The search will include MEDLINE, CINAHL, EmCare, and Nursing and Allied Health Premium. No date limits will be applied to the search. Only articles written in English will be eligible for inclusion. Articles will be reviewed and data extracted by 2 independent reviewers. The results of the extracted data will be presented in a narrative summary with accompanying tables.

Barriers and Facilitators to the Initiation of Injectable Therapies for Type2 Diabetes Mellitus: A Mixed Methods Study.

IntroductionInitiation of injectable therapies in type 2 diabetes (T2D) is often delayed, however the reasons why are not fully understood.MethodsA mixed methods study performed in sequential phases. Phase 1: focus groups with people with T2D (injectable naïve [n = 12] and experienced [n = 5]) and healthcare professionals (HCPs; nurses [n = 5] and general practitioners (GPs) [n = 7]) to understand their perceptions of factors affecting initiation of injectables. Phase 2: video-captured GP consultations (n = 18) with actor-portrayed patient scenarios requiring T2D treatment escalation to observe the initiation in the clinical setting. Phase 3: HCP surveys (n = 87) to explore external validity of the themes identified in a larger sample.ResultsFocus groups identified patients’ barriers to initiation; fear, lack of knowledge and misconceptions about diabetes and treatment aims, concerns regarding lifestyle restrictions and social stigma, and feelings of failure. Facilitators included education, good communication, clinician support and competence. HCP barriers included concerns about weight gain and hypoglycaemia, and limited consultation time. In simulated consultations, GPs performed high-quality consultations and recognised the need for injectable initiation in 9/12 consultations where this was the expert recommended option but did not provide support for initiation themselves. Survey results demonstrated HCPs believe injectable initiation should be performed in primary care, although many practitioners reported inability to do so or difficulty in maintaining skills.ConclusionPeople with T2D have varied concerns and educational needs regarding injectables. GPs recognise the need to initiate injectables but lack practical skills and time to address patient concerns and provide education. Primary care nurses also report difficulties in maintaining these skills. Primary care HCPs initiating injectables require additional training to provide practical demonstrations, patient education and how to identify and address concerns. These skills should be concentrated in the hands of a small number of primary care providers to ensure they can maintain their skills.Supplementary InformationThe online version contains supplementary material available at 10.1007/s13300-022-01306-z.

Rapid Growth Of Remote Patient Monitoring Is Driven By A Small Number Of Primary Care Providers

Growing enthusiasm for remote patient monitoring has been motivated by the hope that it can improve care for patients with poorly controlled chronic illness. In a national commercially insured population in the US, we found that billing for remote patient monitoring increased more than fourfold during the first year of the COVID-19 pandemic. Most of this growth was driven by a small number of primary care providers. Among the patients of these providers with a high volume of remote patient monitoring, we did not observe substantial targeting of remote patient monitoring to people with greater disease burden or worse disease control. Further research is needed to identify which patients benefit from remote patient monitoring, to inform evidence-based use and coverage decisions. In the meantime, payers and policy makers should closely monitor remote patient monitoring use and spending.

Rural-Urban Disparities in Health Access Factors Over Time: Implications for Cancer Prevention and Health Equity in the Midwest.

Purpose:Population-level environmental and socioeconomic factors may influence cancer burden within communities, particularly in rural and urban areas that may be differentially impacted by factors related to health care access.Methods:The University of Kansas (KU) Cancer Center serves a geographically large diverse region with 75% of its 123 counties classified as rural. Using County Health Rankings data and joinpoint regression, we examined trends in four factors related to the socioeconomic environment and health care access from 2009 to 2017 in rural and urban counties across the KU Cancer Center catchment area.Findings:The adult health uninsurance rate declined significantly in rural and urban counties across the catchment area (rural annual percent change [APC]=−5.96; 95% CI=[−7.71 to −4.17]; urban APC=−5.72; 95% CI=[−8.03 to −3.35]). Childhood poverty significantly decreased in rural counties over time (APC=−2.94; 95% CI=[−4.52 to −1.33]); in contrast, urban childhood poverty rates did not significantly change before 2012 (APC=3.68; 95% CI=[−15.12 to 26.65]), after which rates declined (APC=−5.89; 95% CI=[−10.01 to −1.58]). The number of primary care providers increased slightly but significantly in both rural and urban counties (APC=0.54; 95% CI=[0.28 to 0.80]), although urban counties had more primary care providers than rural areas (76.1 per 100K population vs. 57.1 per 100K population, respectively; p=0.009). Unemployment declined significantly faster in urban counties (APC=−10.33; 95% CI=[−12.16 to −8.47]) compared with rural counties (APC=−6.71; 95% CI=[−8.22 to −5.18]) (p=0.02).Conclusion:Our findings reveal potential disparities in systemic factors that may contribute to differences in cancer prevention, care, and survivorship in rural and urban regions.

Improving access to pre-exposure prophylaxis for HIV prescribing in a primary care setting.

Although emtricitabine–tenofovir was approved for HIV pre-exposure prophylaxis (PrEP) in 2012, use by persons at risk of acquiring HIV has been limited. Because many primary care providers lacked familiarity and comfort prescribing PrEP, at our institution PrEP prescribing was concentrated among the infectious disease specialists, effectively limiting access. This project sought to increase the number of patients receiving new prescriptions for PrEP. The interventions targeted primary care providers (including internal medicine and family medicine), and were designed to increase the number of unique providers offering PrEP to their patients. The overall strategy was to expand the clinical scope of practice for primary care providers through education and provision of detailed care templates in the electronic health record. These initiatives were implemented through a series of informal Plan–Do–Study–Act cycles, then generalised throughout the medical system. To evaluate the success of the project, we queried the electronic medical record for all new prescriptions for PrEP, with provider name and specialty, for all outpatients 18 years of age and older from 2012 through 2020. In 2015, prior to the intervention, only 78 patients received new prescriptions for PrEP at our institution, and only 38% (30 of 78) of these were from primary care clinicians. After the intervention, the number of patients receiving PrEP increased to 190 in 2019, with 85% (162 of 190) prescribed by primary care providers. In addition, the number of primary care providers making a new prescription for PrEP increased from 20 in 2015 to 73 in 2019. We conclude that targeted clinical education, combined with electronic health record templates, was associated with a significant increase in PrEP prescribing.

Modernising physician resource planning: a national interactive web platform for Canadian medical trainees

BackgroundHealthcare systems rely heavily upon human resources to ensure high-quality access to care for the general population. With significant health worker shortages predicted worldwide in the coming decades, maximizing the current workforce by means of a physician resource planning (PRP) strategy that ensures the right number, mix, and distribution of physicians to meet population needs is warranted. In Canada, there is an insufficient number of primary care providers, and disproportionately low numbers of specialist physicians in rural compared to urban regions. Currently, Canadian medical students are not effectively included in PRP strategy and lack the required information for career orientation to help rebalance the population’s workforce needs. This paper present the Health Human Resource (HHR) Platform, a comprehensive web tool that includes relevant workforce data to empower medical students in choosing a discipline based on both personal interests and social accountability.ResultsPhysician workforce data, comments from Canadian residency program directors, and career planning resources were collected by the Canadian Federation of Medical Student’s (CFMS) HHR Task Force. This information was consolidated to create a national interactive platform that uses a map, comparison table, and trend graphs to illustrate over 500,000 unique data points from 37 datasets, including specific information and resources spanning 62 medical specialties from 2015 onwards. There was a 24.6% response rate for program director comments. During the first 4 months of the HHR Platform launch, there were 2434 different users, of which 985 were returning, with an average of 20.0 users per day spending on average 3 min on the platform.ConclusionsThe HHR Platform constitutes a national approach to PRP informing medical students on the mix and distribution of physicians needed to meet the future healthcare demands of the Canadian population.

Using IPEC pedagogy to transform the future rural advanced practice nursing workforce

Objective: The number of primary care providers has not kept pace with the increasing number of underserved rural populations placing unprecedented demands on the healthcare system and the gap is expected to widen with shortages projected to increase across the United States. Given the urgent need to grow and expand the number of trained diverse primary care providers in rural communities, an innovative sustainable program was implemented to recruit and train diverse rural advanced practice nurses. Building on the successful rural medical and rural pharmacy educational programs at the UIC Health Sciences Campus in Rockford, a rural nursing program with interprofessional curriculum was designed and refined to enable nursing students along with two other professions to develop appreciation, insight, and knowledge of rural healthcare and health disparities in a variety of rural settings as part of an interprofessional team.Methods: A mixed-methods program evaluation approach utilized both quantitative and qualitative data to evaluate program satisfaction and inform ongoing program refinement.Results: Students indicated positive responses to this interprofessional course of study. Continued development and refinement of the curriculum is planned to train the future rural healthcare workforce.Conclusions: Students from three health sciences colleges benefitted from the IPEC program with confirmed satisfaction in interprofessional rural education and collaborative practice. The addition of a rural nursing program merits continuation with modification and expansion to prepare the future rural interprofessional healthcare workforce.

A non-parametric investigation of supply side factors and healthcare efficiency in the U.S

In this study, the supply-side factors affecting healthcare efficiency in the U.S are studied using data between 2010 and 2017. The recently developed non-parametric order-m estimator is used for the analysis. Results suggest that the U.S. has output production that is 87.6-percent of the expected maximum amount, with life expectancy being 3 years too short given healthcare spending and education levels. However, conditioning efficiency estimates on supply-side secondary environmental variables explains 34 to 85-percent of inefficiency found in the average county. This suggests that hospital expenditures are an inefficient mechanism to improve healthcare efficiency, while focus should be placed on the number and composition of healthcare personnel. Our results suggest that lack of access to care due to provider availability is the biggest impediment to timely and successful care, and that increasing the number of primary care providers or nurse practitioners will improve poor health outcomes in many counties. This suggests that healthcare providers are the main avenues to improve healthcare inefficiency on the supply side.

Geographical Influence of Mobile Clinics in the Southern United States

To develop a mobile clinic influence index, which could allow mobile clinic managers to prioritize geographic regions and allocate resources systematically. The mobile clinic primary care service index was constructed taking into account miles traveled by the mobile clinic, the speed of the mobile clinic, number of primary care providers available in a primary care service area (PCSA), the total population in a PCSA, and the number of primary care providers per mobile clinic program. To illustrate the application of the mobile clinic influence index, we use the case of selected primary care mobile clinic programs operating in North Carolina and Florida. A survey of selected mobile clinic programs from Texas, Georgia, Florida, and North Carolina, in rural and urban zip codes. PCSAs in various counties in North Carolina and Florida experienced varying degrees of additive effects of having mobile clinic providers service these areas. The mobile clinics in these counties were therefore influential in delivering critical primary healthcare services to at-risk populations. The index provides a valuable unit of measure to enable program managers of primary care mobile clinics to allocate resources as needed.

Abstract 3: Association of Medicaid Expansion with Cardiovascular Mortality - A Quasi-experimental Analysis

Background: Medicaid expansion under the Affordable Care Act (ACA) led to one of the largest gains in health insurance coverage for non-elderly adults in the US. However, its impact on health outcomes is unclear. We aimed to study whether trends in cardiovascular mortality for middle-aged adults differed between states that did and did not expand Medicaid. Methods: Using the CDC Wide-ranging Online Data for Epidemiologic Research mortality database, we obtained county-level, age-adjusted, cardiovascular mortality rates for all individuals 45 to 64 years of age from 2010 to 2016 for all states except Massachusetts and Wisconsin (due to non-ACA related Medicaid expansion in these two states). We used a differences-in-differences (DID) approach to measure differences in cardiovascular morality rates between states, based on Medicaid expansion status, before and after expansion. The DID estimator was adjusted for percentage of residents who were female, African-American, Hispanic, percentage of residents living in poverty, county unemployment rate, median household income, number of primary care providers per 100,000 residents, number of cardiologists per 100,000 residents, metropolitan vs. non-metropolitan county classification, and percentage of low-income residents with health insurance in 2010. Results: A total of 1960 counties were included. As of 2016, 29 states and DC had expanded Medicaid eligibility, while 19 states had not. Compared with counties in non-expansion states, counties in expansion states had a greater increase in health insurance coverage for low-income residents [19.8% (SD = 5.5) vs. 13.5% (SD = 3.9); p &lt;0.001]. Pre-expansion there were no significant differences in trends in mortality rates. Counties in expansion states had a significantly smaller increase in cardiovascular mortality rates [141.9 (95% CI 135.6, 148.3) to 142.0 (95% CI 135.5, 148.6) deaths per 100,000 residents per year] compared to counties in non-expansion states [176.1 (95% CI 169.3, 182.8) to 180.6 (95% CI 173.2, 188.0) deaths per 100,000 residents per year]. After accounting for differences in demographic and economic variables, counties in expansion states had 4.0 (95% CI 2.1, 6.0) fewer deaths per 100,000 residents per year from cardiovascular causes after expansion, compared to if they had followed the same trends as counties in non-expansion states. This effect was more prominent in non-metropolitan counties and in counties in the top 50 th percentile for residents living in poverty. Conclusion: Counties in Medicaid expansion states had a significantly smaller increase in cardiovascular mortality rates among non-elderly adults compared with counties in non-expansion states. Our findings suggest that Medicaid expansion was associated with a beneficial effect on cardiovascular mortality and may be an important consideration for states debating expansion of Medicaid eligibility.

Impact of a complex chronic care patient case conference on quality and utilization.

There is need for effective venues to allow teams to coordinate care for high-risk or high-need patients. In addition, health systems need to assess the impact of such approaches on outcomes related to chronic health conditions and patient utilization. We evaluate the clinical impact of a novel case conference involving colocated trainees and supervisors in an interprofessional academic primary care clinic. The study utilized a prospective cohort with control group. Intervention patients (N = 104) were matched with controls (N = 104) from the same provider's panel using propensity scores based on age, gender, risk predictors, and prior utilization patterns. Clinical outcomes and subsequent utilization patterns were compared prior to and up to 6 months following the conference. In terms of utilization, intervention patients demonstrated increased visits with primary care team members (p = .0002) compared with controls, without a corresponding increase in the number of primary care providers' visits. There was a trend towards decreased urgent care and emergency visits (p = .07) and a significant decrease in the rate of hospitalizations (p = .04). Patients with poorly-controlled hypertension saw significant decreases in mean systolic blood pressure from 167 to 146 mm Hg. However, there were no differences between the intervention and control groups. Intervention patients with diabetes demonstrated a nonsignificant trend towards decreased hemoglobin A1c from 9.8 to 9.4, when compared with controls. Interprofessional case conferences have potential to improve care coordination and may be associated with improved disease management, decreased unplanned care, and overall reduced hospitalizations.