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Utilization and Cost of an Employer-Sponsored Comprehensive Primary Care Delivery Model.

ABSTRACT: Importance:Primary care is increasingly delivered at or near workplaces, yet utilization and cost of employer-sponsored primary care services remain unknown. Objective:To compare the health care utilization and cost of an employer-sponsored on-site, near-site, and virtual comprehensive primary care service delivery model with those of traditional community-based primary care. Design, Setting, and Participants:This population-based cohort study of 23 518 commercially insured employees and dependents of an engineering and manufacturing firm headquartered in southern California was performed from January 1, 2016, to July 1, 2019. A subset of the population with most (≥50%) primary care visits through employer-sponsored on-site, near-site, or virtual care clinics was matched to a subset not having most such visits through the employer-sponsored clinics using propensity score matching (n = 1983 each). In sensitivity analyses, employees were matched to dependents at neighboring firms that lacked access to the employer-sponsored primary care delivery model (additional n = 1680). Exposures:Integrated primary care, mental health, and physical therapy delivered through on-site, near-site, and virtual clinics. Main Outcomes and Measures:Utilization (inpatient, outpatient, emergency department, pharmaceutical, radiology, and laboratory visits per 1000 member-months) and spending (2019 costs per member per month in US dollars) by service type. Results:A total of 23 518 individuals (mean [SD] age, 27 [15] years; 14 604 [62.1%] male) were included in the full population sample and had been enrolled in the employer-sponsored health plan for a mean of 29 months (interquartile range, 14-48 months). Of eligible members, 5292 (22.5%) used the employer-sponsored services, with 2305 (9.8%) using them for most of their primary care. The mean (SD) cost of employer-sponsored service delivery was $87 ($32) per member month. Among the matched populations (mean [SD] age, 31 [11] years; 3349 [84.5%] male) of primary users vs control individuals, total spending was 45% lower per member per month (95% CI, 35%-55%; cost difference, -$167 per member per month; 95% CI, -$204 to -$130; P < .001) among users after adjustment. The lower spending was associated with lower spending on non-primary care services, such as emergency department (-33%; 95% CI, -44% to -22%) and hospital visits (-16%; 95% CI, -22% to -10%), despite higher spending on primary care (109%; 95% CI, 102%-116%) and mental health (20%; 95% CI, 13%-27%). Conclusions and Relevance:The findings suggest that individuals who used the models' services for most of their primary care had lower total spending despite higher primary care spending, which may be associated with self-selection of lower-risk persons to the employer-sponsored services and/or with the use of comprehensive primary care.

SUBMITTER: Basu S

PROVIDER: S-EPMC7193330 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundThe Centers for Medicare & Medicaid Services launched the 4-year Comprehensive Primary Care Initiative (CPC Classic) in 2012 and its 5-year successor, CPC Plus (CPC+), in 2017 to test whether improving primary care delivery in five areas-and providing practices with financial and technical support-reduced spending and improved quality. This is the first study to examine long-term effects of a primary care practice transformation model.ObjectiveTo test whether long-term primary care transformation-the 4-year CPC Classic and the first 2 years of its successor, CPC+-reduced hospitalizations, emergency department (ED) visits, and spending over 6 years.DesignWe used a difference-in-differences analysis to compare outcomes for beneficiaries attributed to CPC Classic practices with outcomes for beneficiaries attributed to comparison practices during the year before and 6 years after CPC Classic began.ParticipantsThe study involved 565,674 Medicare fee-for-service beneficiaries attributed to 502 CPC Classic practices and 1,165,284 beneficiaries attributed to 908 comparison practices, with similar beneficiary-, practice-, and market-level characteristics as the CPC Classic practices.InterventionsThe interventions required primary care practices to improve 5 care areas and supported their transformation with substantially enhanced payment, data feedback, and learning support and, for CPC+, added health information technology support.Main measuresHospitalizations (all-cause), ED visits (outpatient and total), and Medicare Part A and B expenditures.Key resultsRelative to comparison practices, beneficiaries in intervention practices experienced slower growth in hospitalizations-3.1% less in year 5 and 3.5% less in year 6 (P < 0.01) and roughly 2% (P < 0.1) slower growth each year in total ED visits during years 3 through 6. Medicare Part A and B expenditures (excluding care management fees) did not change appreciably.ConclusionsThe emergence of favorable effects on hospitalizations in years 5 and 6 suggests primary care transformation takes time to translate into lower hospitalizations. Longer tests of models are needed.

Project description:An estimated 300,000 cases of Lyme disease occur in the United States annually. Disseminated Lyme disease may result in carditis, arthritis, facial palsy or meningitis, sometimes requiring hospitalization. We describe the epidemiology and cost of Lyme disease-related hospitalizations. We analysed 2005-2014 data from the Truven Health Analytics MarketScan Commercial Claims and Encounters Databases to identify inpatient records associated with Lyme disease based on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. We estimated the annual number and median cost of Lyme disease-related hospitalizations in the United States in persons under 65 years of age. Costs were adjusted to reflect 2016 dollars. Of 20,983,165 admission records contained in the inpatient databases during the study period, 2,823 (0.01%) met inclusion criteria for Lyme disease-related hospitalizations. Over half of the identified records contained an ICD-9-CM code for meningitis (n = 614), carditis (n = 429), facial palsy (n = 400) or arthritis (n = 377). Nearly 60% of hospitalized patients were male. The median cost per Lyme disease-related hospitalization was $11,688 (range: $140-$323,613). The manifestation with the highest median cost per stay was carditis ($17,461), followed by meningitis ($15,177), arthritis ($13,012) and facial palsy ($10,491). Median cost was highest among the 15- to 19-year-old age group ($12,991). Admissions occurring in January had the highest median cost ($13,777) for all study years. Based on extrapolation to the U.S. population, we estimate that 2,196 Lyme disease-related hospitalizations in persons under 65 years of age occur annually with an estimated annual cost of $25,826,237. Lyme disease is usually treated in an outpatient setting; however, some patients with Lyme disease require hospitalization, underscoring the need for effective prevention methods to mitigate these serious cases. Information from this analysis can aid economic evaluations of interventions that prevent infection and advances in disease detection.

Project description:ObjectiveWe investigate the factors driving the downward trend in employer sponsored health insurance (ESI) coverage between 1999 and 2002 for low- and middle-income workers, and assess their insurance options in the absence of ESI coverage.DataWe use the 1999 and 2002 rounds of the National Survey of America's Families (NSAF), supplemented with ESI premiums from the Medical Expenditure Panel Survey, as well as other state- and county-level data from a variety of sources. The sample includes workers between the ages of 19 and 64.Study designWe first estimate linear probability models of the probability of having an ESI offer and, for those with an offer, the probability of taking up ESI coverage, using two-stage least square regression on the 2002 worker sample. We then use Oaxaca-Blinder regression-based decomposition methods to identify the factors that explain the changes in ESI offer and take-up between 1999 and 2002.Principal findingsWe find that while low-income workers are more likely to be uninsured and are most vulnerable to the loss of ESI coverage, many middle-income workers are also in a precarious position when faced with the loss of ESI coverage. Many low- and middle-income workers have few coverage options in the absence of ESI. This is particularly problematic for low-income workers: only 13 percent have a spouse with an ESI offer and the nongroup premium they face increased at a much higher rate than for middle-income workers. Finally, we find that the drop in ESI offers between 1999 and 2002 was driven largely by changes in nature of the workers' jobs, while the drop in ESI take-up was driven largely by rising ESI premiums.ConclusionsPolicies that shore up the ESI system are important for both low- and middle-income workers, as both are vulnerable to a loss of insurance coverage in the absence of ESI. Over time, the potential coverage options available to low- and middle-income workers in the absence of ESI have narrowed as nongroup premiums have increased. While public coverage has provided some protection from that increase for low-income workers, middle-income workers are much less likely to have access to public protection.

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Utilization and Cost of an Employer-Sponsored Comprehensive Primary Care Delivery Model.

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