Costs and Productivity Benefits of the Department of Veterans Affairs Maintaining Internal Systems and Strengthening Integrated Outside Networks Act Scribes Trial.

OBJECTIVES: To improve access, the VA Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act of 2018 mandated a 2-year study of medical scribes in Veterans Health Administration specialty clinics and emergency departments. Medical scribes are employed in clinical settings with the goals of increasing provider productivity and satisfaction by minimizing physicians' documentation burden. Our objective is to quantify the economic outcomes of the MISSION Act scribes trial. METHODS: A cluster-randomized trial was designed with 12 Department of Veterans Affairs (VA) medical centers randomized into the intervention. We estimated the total cost of the trial, cost per scribe-year, and projected cost of hiring additional physicians to achieve the observed scribe productivity benefits in relative value units and visits per full-time-equivalent over the 2-year intervention period (June 30, 2020 to July 1, 2022). RESULTS: The estimated cost of the trial was $4.6 million, below the Congressional Budget Office estimate of $5 million. A full-time scribe-year cost approximately $74 600 through contracting and $62 900 through VA hiring. Randomization into the trial led to an approximate 30% increase in productivity in cardiology and 20% in orthopedics. The projected incremental cost of using additional physicians instead of scribes to achieve the same productivity benefits was nearly $1.7 million more, or 75% higher, than the observed cost of scribes in cardiology and orthopedics. CONCLUSIONS: As the largest randomized trial of scribes to date, the MISSION Act scribes trial provides important evidence on the costs and benefits of scribes. Improving productivity enhances access and scribes may give VA a new tool to improve productivity in specialty care at a lower cost than hiring additional providers.

Effect of the Maintaining Internal Systems and Strengthening Integrated Outside Networks (MISSION) Act Scribes Trial on Emergency Department Provider Productivity and Patient Throughput Times.

BACKGROUND: To help improve access to care, section 507 of the VA MISSION (Maintaining Internal Systems and Strengthening Integrated Outside Networks) Act of 2018 mandated a 2-year trial of medical scribes in the Veterans Health Administration (VHA). OBJECTIVE: The impact of scribes on provider productivity and patient throughput time in VHA emergency departments (EDs) was evaluated. METHODS: A clustered randomized trial was designed using intent-to-treat difference-in-differences analysis. The intervention period was from June 30, 2020 to July 1, 2022. The trial included six intervention and six comparison ED clinics. Two ED providers who volunteered to participate in the trial were assigned two scribes each. Scribes assisted providers with documentation and visit-related activities. The outcomes were provider productivity and patient throughput time per clinic-pay period. RESULTS: Randomization to intervention resulted in decreased provider productivity and increased patient throughput time. In adjusted regression models, randomization to scribes was associated with a decrease of 8.4 visits per full-time equivalent (95% confidence interval [CI] 12.4-4.3; p < 0.001) and 0.5 patients per day per provider (95% CI 0.8-0.3; p < 0.001). Intervention was associated with increases in length of stay of 29.1 min (95% CI 21.2-36.9 min; p < 0.001), 6.3 min in door to doctor (95% CI 2.9-9.6 min; p < 0.001), 19.5 min in door to disposition (95% CI 13.2-25.9 min; p < 0.001), and 13.7 min in doctor to disposition (95% CI 8.8-18.6 min; p < 0.001). CONCLUSIONS: Scribes were associated with decreased provider productivity and increased patient throughput time in VHA EDs. Although scribes may have contributed to improvements in other dimensions of quality, further examination of the ways in which scribes were used is advisable before widespread adoption in VHA EDs.

Effect of a National VHA Medical Scribe Pilot on Provider Productivity, Wait Times, and Patient Satisfaction in Cardiology and Orthopedics.

BACKGROUND: Section 507 of the VA MISSION Act of 2018 mandated a 2-year pilot study of medical scribes in the Veterans Health Administration (VHA), with 12 VA Medical Centers randomly selected to receive scribes in their emergency departments or high wait time specialty clinics (cardiology and orthopedics). The pilot began on June 30, 2020, and ended on July 1, 2022. OBJECTIVE: Our objective was to evaluate the impact of medical scribes on provider productivity, wait times, and patient satisfaction in cardiology and orthopedics, as mandated by the MISSION Act. DESIGN: Cluster randomized trial, with intent-to-treat analysis using difference-in-differences regression. PATIENTS: Veterans using 18 included VA Medical Centers (12 intervention and 6 comparison sites). INTERVENTION: Randomization into MISSION 507 medical scribe pilot. MAIN MEASURES: Provider productivity, wait times, and patient satisfaction per clinic-pay period. KEY RESULTS: Randomization into the scribe pilot was associated with increases of 25.2 relative value units (RVUs) per full-time equivalent (FTE) (p < 0.001) and 8.5 visits per FTE (p = 0.002) in cardiology and increases of 17.3 RVUs per FTE (p = 0.001) and 12.5 visits per FTE (p = 0.001) in orthopedics. We found that the scribe pilot was associated with a decrease of 8.5 days in request to appointment day wait times (p < 0.001) in orthopedics, driven by a 5.7-day decrease in appointment made to appointment day wait times (p < 0.001), and observed no change in wait times in cardiology. We also observed no declines in patient satisfaction with randomization into the scribe pilot. CONCLUSIONS: Given the potential improvements in productivity and wait times with no change in patient satisfaction, our results suggest that scribes may be a useful tool to improve access to VHA care. However, participation in the pilot by sites and providers was voluntary, which could have implications for scalability and what effects could be expected if scribes were introduced to the care process without buy-in. Cost was not considered in this analysis but is an important factor for future implementation. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT04154462.

Finding social need-les in a haystack: ascertaining social needs of Medicare patients recorded in the notes of care managers.

BACKGROUND: Unmet social needs may impair health and access to health care, and intervening on these holds particular promise in high-risk patient populations, such as those with multiple chronic conditions. Our objective was to identify social needs in a patient population at significant risk-Medicare enrollees with multiple chronic illnesses enrolled in care management services-and measure their prevalence prior to any systematic screening. METHODS: We partnered with Renova Health, an independent Medicare Chronic Care Management (CCM) provider with patients in 10 states during our study period (January 2017 through August 2020). Our data included over 3,000 Medicare CCM patients, representing nearly 20,000 encounters. We used a dictionary-based natural language processing approach to ascertain the prevalence of six domains of barriers to care (food insecurity, housing instability, utility hardship) and unmet social needs (health care affordability, need for supportive services, transportation) in notes taken during telephonic Medicare CCM patient encounters. RESULTS: Barriers to care, specifically need for supportive services (2.4%) and health care affordability (0.8%), were the most prevalent domains identified. Transportation as a barrier to care came up relatively less frequently in CCM encounters (0.1%). Unmet social needs were identified at a comparatively lower rate, with potential housing instability (0.3%) flagged most followed by potential utility hardship (0.2%) and food insecurity (0.1%). CONCLUSIONS: There is substantial untapped opportunity to systematically screen for social determinants of health and unmet social needs in care management.

Improving Access to High-Value, High-Cost Medicines: The Use of Subscription Models to Treat Hepatitis C Using Direct-Acting Antivirals in the United States.

State payers may face financial incentives to restrict use of high-cost medications. Yet, restrictions on access to high-value medications may have deleterious effects on population health. Direct-acting antivirals (DAAs), available since 2013, can cure chronic infection with hepatitis C virus (HCV). With prices upward of $90,000 for a treatment course, states have struggled to ensure access to DAAs for Medicaid beneficiaries and the incarcerated, populations with a disproportionate share of HCV. Advance purchase commitments (APCs), wherein a payer commits to purchase a certain quantity of medications at lower prices, offer payers incentives to increase access to high-value medications while also offering companies guaranteed revenue. This article discusses the use of subscription models, a type of APC, to support increased access to high-value DAAs for treating HCV. First, the authors provide background information about HCV, its treatment, and state financing of prescription medications. They then review the implementation of HCV subscription models in two states, Louisiana and Washington, and the early evidence of their impact. The article discusses challenges to evaluating state-sponsored subscription models, and it concludes by discussing implications of subscription models that target DAAs and other high-value, high-cost medicines.

Estimating the impact of insurance expansion on colorectal cancer and related costs in North Carolina: A population-level simulation analysis.

Although screening is effective in reducing incidence, mortality, and costs of treating colorectal cancer (CRC), it remains underutilized, in part due to limited insurance access. We used microsimulation to estimate the health and financial effects of insurance expansion and reduction scenarios in North Carolina (NC). We simulated the full lifetime of a simulated population of 3,298,265 residents age-eligible for CRC screening (ages 50-75) during a 5-year period starting January 1, 2018, including polyp incidence and progression and CRC screening, diagnosis, treatment, and mortality. Insurance scenarios included: status quo, which in NC includes access to the Health Insurance Exchange (HIE) under the Affordable Care Act (ACA); no ACA; NC Medicaid expansion, and Medicare-for-all. The insurance expansion scenarios would increase percent up-to-date with screening by 0.3 and 7.1 percentage points for Medicaid expansion and Medicare-for-all, respectively, while insurance reduction would reduce percent up-to-date by 1.1 percentage points, compared to the status quo (51.7% up-to-date), at the end of the 5-year period. Throughout these individuals' lifetimes, this change in CRC screening/testing results in an estimated 498 CRC cases averted with Medicaid expansion and 6031 averted with Medicare-for-all, and an additional 1782 cases if health insurance gains associated with ACA are lost. Estimated cost savings - balancing increased CRC screening/testing costs against decreased cancer treatment costs - are approximately $30 M and $970 M for Medicaid expansion and Medicare-for-all scenarios, respectively, compared to status quo. Insurance expansion is likely to improve CRC screening both overall and in underserved populations while saving money, with the largest savings realized by Medicare.

The Practice Gap: National Estimates of Screening and Counseling for Alcohol, Tobacco, and Obesity.

Tobacco use, lack of physical activity and poor diet, and alcohol consumption are leading causes of death in the United States. We estimated screening and counseling rates by using a nationally representative sample of adults aged 35 years and older with a preventive care supplement to the 2014 Medical Expenditure Panel Survey. Receipt of the recommended level of services ranged from nearly two-thirds (64.2% for obesity, 61.9% for tobacco use) to less than one-half (41.0% for alcohol misuse). There is significant room for improving care delivery, but primary care practices probably also need additional resources to raise screening and counseling rates.

Caregivers navigating rehabilitative care for people with aphasia after stroke: a multi-lens perspective.

BACKGROUND: Up to 40% of stroke survivors acquire aphasia and require long-term caregiver assistance after discharge from the hospital. Caregivers assume multiple roles as they help people with aphasia to access outpatient rehabilitative care in an increasingly person-centred model of care. Examining caregiver roles and how different stakeholders in the rehabilitative journey perceive these roles may be the first step in providing more tailored support to caregivers and improving outcomes for both caregivers and people with aphasia. AIMS: To characterize the roles caregivers assume while navigating outpatient rehabilitative care for people with aphasia after stroke from the perspective of different stakeholders in the rehabilitative process. METHODS & PROCEDURES: Thirty-six people participated in the study, including seven caregivers, 22 stroke survivors with aphasia and seven healthcare providers. Focus groups were conducted, and an iterative thematic analysis was used to identify themes. OUTCOMES & RESULTS: Results indicate that caregivers are perceived differently by varying stakeholders, and that caregivers adopt diverse roles as advocates, therapists, motivators and guardians. They assume these roles in order to fill gaps in services or otherwise to facilitate the recovery journey for the person with aphasia. CONCLUSIONS & IMPLICATIONS: This study provides a valuable glimpse into how varying stakeholders view the role of the caregiver during rehabilitation for people with aphasia after stroke. Providing caregivers with the training and support they need throughout the recovery journey by treating them as partners in the process may mitigate the perception of caregivers as feeling compelled to adopt multiple roles.

Television Advertising and Health Insurance Marketplace Consumer Engagement in Kentucky: A Natural Experiment.

BACKGROUND: Reductions in health insurance enrollment outreach could have negative effects on the individual health insurance market. Specifically, consumers may not be informed about the availability of coverage, and if some healthier consumers fail to enroll, there could be a worse risk pool for insurers. Kentucky created its own Marketplace, known as kynect, and adopted Medicaid expansion under the Affordable Care Act, which yielded the largest decline in adult uninsured rate in the United States from 2013 to 2016. The state sponsored an award-winning media campaign, yet after the election of a new governor in 2015, it declined to renew the television advertising contract for kynect and canceled all pending television ads with over a month remaining in the 2016 open enrollment period. OBJECTIVE: The objective of this study is to examine the stark variation in television advertising across multiple open enrollment periods in Kentucky and use this variation to estimate the dose-response effect of state-sponsored television advertising on consumer engagement with the Marketplace. In addition, we assess to what extent private insurers can potentially help fill the void when governments reduce or eliminate television advertising. METHODS: We obtained television advertising (Kantar Media/Campaign Media Analysis Group) and Marketplace data (Kentucky Health Benefit Exchange) for the period of October 1, 2013, through January 31, 2016, for Kentucky. Advertising data at the spot level were collapsed to state-week counts by sponsor type. Similarly, a state-week series of Marketplace engagement and enrollment measures were derived from state reports to Centers for Medicare and Medicaid Services. We used linear regression models to estimate associations between health insurance television advertising volume and measures of information-seeking (calls to call center; page views, visits, and unique visitors to the website) and enrollment (Web-based and total applications, Marketplace enrollment). RESULTS: We found significant dose-response effects of weekly state-sponsored television advertising volume during open enrollment on information-seeking behavior (marginal effects of an additional ad airing per week for website page views: 7973, visits: 390, and unique visitors: 388) and enrollment activity (applications, Web-based: 61 and total: 56). CONCLUSIONS: State-sponsored television advertising was associated with nearly 40% of unique visitors and Web-based applications. Insurance company television advertising was not a significant driver of engagement, an important consideration if cuts to government-sponsored advertising persist.

Quit Methods Used by US Adult Cigarette Smokers, 2014-2016.

To quantify the prevalence of 10 quit methods commonly used by adult cigarette smokers, we used data from a nationally representative longitudinal (2014-2016) online survey of US adult cigarette smokers (n = 15,943). Overall, 74.7% of adult current cigarette smokers used multiple quit methods during their most recent quit attempt. Giving up cigarettes all at once (65.3%) and reducing the number of cigarettes smoked (62.0%) were the most prevalent methods. Substituting some cigarettes with e-cigarettes was used by a greater percentage of smokers than the nicotine patch, nicotine gum, or other cessation aids approved by the US Food and Drug Administration. Further research into the effectiveness of e-cigarettes as a cessation aid is warranted.

Economic Impact of Smoke-Free Air Laws in North Dakota on Restaurants and Bars.

INTRODUCTION: In late 2012, North Dakota expanded its statewide smoke-free air law to cover all restaurants and bars in the state. Several North Dakota communities also had local ordinances that prohibited smoking in restaurants and bars prior to the statewide law. Previous work found no effect of the initial statewide law or several local laws on restaurant and bar sales. METHODS: Using quarterly county-level employment data from 1990 to 2014, we examined whether the expanded statewide law or pre-existing local laws were associated with significant changes in employment in restaurants and bars in North Dakota. Separate models were estimated for restaurant and bar employment using two methods of controlling for smoke-free air law coverage. RESULTS: We found no evidence of a significant association between employment in restaurants and bars in North Dakota and the expanded statewide law or pre-existing local laws. Prior employment levels in restaurants and bars and prevailing economic conditions were the main drivers of restaurant and bar employment, not smoke-free air laws. CONCLUSIONS: This study examines the economic impact of smoke-free air laws in North Dakota on restaurant and bar employment following the expansion of the statewide law in late 2012 to cover all restaurants and bars. We find no significant adverse effect of smoke-free air laws on restaurants and bars, consistent with results from previous studies conducted in North Dakota and throughout the United States. IMPLICATIONS: This study is the first to analyze the economic impact of smoke-free air laws in North Dakota on restaurant and bar employment following the 2012 expansion of the statewide law to cover all restaurants and bars. We find no evidence of a significant adverse effect of smoke-free air laws on restaurants and bars, consistent with results from previous studies conducted in North Dakota and throughout the United States. Prior employment levels and prevailing economic conditions proved to be the main drivers of restaurant and bar employment, not smoke-free air laws.

Association Between Media Dose, Ad Tagging, and Changes in Web Traffic for a National Tobacco Education Campaign: A Market-Level Longitudinal Study.

BACKGROUND: In 2012, the US Centers for Disease Control and Prevention (CDC) launched Tips From Former Smokers (Tips), the first federally funded national tobacco education campaign. In 2013, a follow-up Tips campaign aired on national cable television networks, radio, and other channels, with supporting digital advertising to drive traffic to the Tips campaign website. OBJECTIVE: The objective of this study was to use geographic and temporal variability in 2013 Tips campaign television media doses and ad tagging to evaluate changes in traffic to the campaign website in response to specific doses of campaign media. METHODS: Linear regression models were used to estimate the dose-response relationship between weekly market-level television gross rating points (GRPs) and weekly Web traffic to the Tips campaign website. This relationship was measured using unique visitors, total visits, and page views as outcomes. Ad GRP effects were estimated separately for ads tagged with the Tips campaign website URL and 1-800-QUIT-NOW. RESULTS: In the average media market, an increase of 100 television GRPs per week for ads tagged with the Tips campaign website URL was associated with an increase of 650 unique visitors (P<.001), 769 total visits (P<.001), and 1255 total page views (P<.001) per week. The associations between GRPs for ads tagged with 1-800-QUIT-NOW and each Web traffic measure were also statistically significant (P<.001), but smaller in magnitude. CONCLUSIONS: Based on these findings, we estimate that the 16-week 2013 Tips television campaign generated approximately 660,000 unique visitors, 900,000 total visits, and 1,390,000 page views for the Tips campaign website. These findings can help campaign planners forecast the likely impact of targeted advertising efforts on consumers' use of campaign-specific websites.

Does Digital Video Advertising Increase Population-Level Reach of Multimedia Campaigns? Evidence From the 2013 Tips From Former Smokers Campaign.

BACKGROUND: Federal and state public health agencies in the United States are increasingly using digital advertising and social media to promote messages from broader multimedia campaigns. However, little evidence exists on population-level campaign awareness and relative cost efficiencies of digital advertising in the context of a comprehensive public health education campaign. OBJECTIVE: Our objective was to compare the impact of increased doses of digital video and television advertising from the 2013 Tips From Former Smokers (Tips) campaign on overall campaign awareness at the population level. We also compared the relative cost efficiencies across these media platforms. METHODS: We used data from a large national online survey of approximately 15,000 US smokers conducted in 2013 immediately after the conclusion of the 2013 Tips campaign. These data were used to compare the effects of variation in media dose of digital video and television advertising on population-level awareness of the Tips campaign. We implemented higher doses of digital video among selected media markets and randomly selected other markets to receive similar higher doses of television ads. Multivariate logistic regressions estimated the odds of overall campaign awareness via digital or television format as a function of higher-dose media in each market area. All statistical tests used the .05 threshold for statistical significance and the .10 level for marginal nonsignificance. We used adjusted advertising costs for the additional doses of digital and television advertising to compare the cost efficiencies of digital and television advertising on the basis of costs per percentage point of population awareness generated. RESULTS: Higher-dose digital video advertising was associated with 94% increased odds of awareness of any ad online relative to standard-dose markets (P<.001). Higher-dose digital advertising was associated with a marginally nonsignificant increase (46%) in overall campaign awareness regardless of media format (P=.09). Higher-dose television advertising was associated with 81% increased odds of overall ad awareness regardless of media format (P<.001). Increased doses of television advertising were also associated with significantly higher odds of awareness of any ad on television (P<.001) and online (P=.04). The adjusted cost of each additional percentage point of population-level reach generated by higher doses of advertising was approximately US $440,000 for digital advertising and US $1 million for television advertising. CONCLUSIONS: Television advertising generated relatively higher levels of overall campaign awareness. However, digital video was relatively more cost efficient for generating awareness. These results suggest that digital video may be used as a cost-efficient complement to traditional advertising modes (eg, television), but digital video should not replace television given the relatively smaller audience size of digital video viewers.

Influence of point-of-sale tobacco displays and graphic health warning signs on adults: evidence from a virtual store experimental study.

OBJECTIVES: We tested the impact of banning tobacco displays and posting graphic health warning signs at the point of sale (POS). METHODS: We designed 3 variations of the tobacco product display (open, enclosed [not visible], enclosed with pro-tobacco ads) and 2 variations of the warning sign (present vs absent) with virtual store software. In December 2011 and January 2012, we randomized a national convenience sample of 1216 adult smokers and recent quitters to 1 of 6 store conditions and gave them a shopping task. We tested for the main effects of the enclosed display, the sign, and their interaction on urge to smoke and tobacco purchase attempts. RESULTS: The enclosed display significantly lowered current smokers' (B = -7.05; 95% confidence interval [CI] = -13.20, -0.91; P < .05) and recent quitters' (Β = -6.00, 95% CI = -11.00, -1.00; P < .01) urge to smoke and current smokers' purchase attempts (adjusted odds ratio = 0.06; 95% CI = 0.03, 0.11; P < .01). The warning sign had no significant main effect on study outcomes or interaction with enclosed display. CONCLUSIONS: These data show that POS tobacco displays influence purchase behavior. Banning them may reduce cues to smoke and unplanned tobacco purchases.

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

OBJECTIVE: To develop and validate a measure of provider network restrictiveness in the Medicare Advantage (MA) population. DATA SOURCES: 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. STUDY DESIGN: 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. DATA COLLECTION/EXTRACTION METHODS: Prescription drug event data were obtained for a 20% random sample of beneficiaries enrolled in prescription drug coverage from 2011 to 2017. PRINCIPAL FINDINGS: 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. CONCLUSIONS: 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.

Access to insurance navigation support through the State Health Insurance Assistance Program (SHIP).

Medicare enrollment is complex, particularly for low-income individuals who are dually eligible for Medicare and Medicaid, and the wrong plan choice can adversely impact beneficiaries' out-of-pocket costs and access to providers and medications. The State Health Insurance Assistance Program (SHIP) is a federal program that provides counseling on Medicare coverage, but the degree to which SHIP services are accessible to low-income beneficiaries is unknown. We interviewed SHIP counselors and coordinators to characterize factors affecting access to and quality of SHIP services for low-income beneficiaries. Availability of volunteers was cited as the primary barrier to SHIP services. Topics related to dual eligibility for Medicare and Medicaid were frequently covered in counseling sessions, and staff expressed a desire for more training related to Medicaid and integrated-care programs. Our results suggest that additional counselors and increased training on topics relevant to dually eligible individuals may improve SHIP's ability to provide health insurance-related information to low-income Medicare beneficiaries.

Potential inequities in access to in-person SHIP counseling services.

OBJECTIVES: Counseling and education on Medicare coverage options are available through the federal State Health Insurance Assistance Program (SHIP), but little is known about the population that SHIP reaches. STUDY DESIGN: Cross-sectional study. METHODS: Using a novel data source on SHIP counseling site locations, we characterized the availability of in-person SHIP counseling by zip code tabulation area (ZCTA) and used linear regression and t tests to evaluate whether SHIP counseling sites are disproportionately located in higher-income communities. RESULTS: Our sample included 1511 SHIP counseling sites. More than half (63%) of the localities in our sample have a SHIP site within the ZCTA or county. Twenty-four percent do not have a SHIP site within the county but have one in an adjacent county. The remaining 13% do not have a nearby SHIP site. There is a disproportionate number of individuals eligible for Medicare in localities without a SHIP site. Moreover, the population living in areas without in-person SHIP sites is more likely to have low income and fewer years of education than the population living in areas with a SHIP site. CONCLUSIONS: These results suggest that there are areas where in-person SHIP service expansion or other additional navigation support may be warranted.

A dataset of geocoded Medicaid office locations in the United States.

Medicaid is the largest health insurance program in the United States, covering more than 86 million Americans as of early 2023, and is key for progress towards health equity. Although policy changes like Medicaid expansion have significantly expanded the number of people who are eligible for Medicaid, the administrative burdens of enrolling in and renewing coverage can be substantial. Although many applications are now submitted online, physical access to Medicaid offices still plays a critical role in understanding eligibility, getting help in applying, and navigating required documentation for both initial enrollment and redetermination of eligibility. However, as more government functions have moved online, in-person office locations and/or staff may have been cut to reduce costs, and gentrification has shifted where minoritized, marginalized, and/or low-income populations live, it is unclear if the key local connection point between residents and Medicaid has been maintained. To our knowledge, no single source of Medicaid office locations has been assembled and made available for research purposes. Our objective was to identify and geocode all public-facing Medicaid offices in the United States, which can then be paired with other spatial data (e.g., demographics, Medicaid participation, health care use, health outcomes) to explore policy-relevant research questions. We identified Medicaid office addresses in all 50 states and the District of Columbia by searching state government websites (e.g., Department of Health and Human Services or analogous state agency). Our corpus of Medicaid office addresses was then geocoded using the Census Geocoder with unresolved addresses investigated and/or manually geocoded using Google Maps. After deduplication (e.g., where multiple counties share a single office) and removal of mailing addresses (e.g., PO Boxes), our final dataset includes 3026 Medicaid office locations.

Metabolic Disease and The Risk of Post-COVID Conditions: A Retrospective Cohort Study.

Objective: To examine the influence of having a baseline metabolic disorder (diabetes, hypertension, and/or obesity) on the risk of developing new clinical sequelae potentially related to SARS-CoV-2 in a large sample of commercially insured adults in the US. Design setting and participants: Deidentified data were collected from the IBM/Watson MarketScan Commercial Claims and Encounters (CCAE) Databases and Medicare Supplemental and Coordination of Benefits (MDCR) Databases from 2019 to 2021. A total of 839,344 adults aged 18 and above with continuous enrollment in the health plan were included in the analyses. Participants were grouped into four categories based on their COVID-19 diagnosis and whether they had at least one of the three common metabolic disorders at baseline (diabetes, obesity, or hypertension). Measures and methods: ICD-10-CM codes were used to determine new symptoms and conditions after the acute phase of SARS-CoV-2 infection, defined as ending 21 days after initial diagnosis date, or index period for those who did not have a COVID-19 diagnosis. Propensity score matching (PSM) was used to create comparable reference groups. Cox proportional hazard models were conducted to estimate hazard ratios and 95% confidence intervals. Results: Among the 772,377 individuals included in the analyses, 36,742 (4.8%) without and 20,912 (2.7%) with a baseline metabolic disorder were diagnosed with COVID-19. On average, COVID-19 patients with baseline metabolic disorders had more 2.4 more baseline comorbidities compared to those without baseline metabolic disorders. Compared to adults with no baseline metabolic condition, the risks of developing new clinical sequelae were highest among COVID-19 patients with a baseline metabolic condition (HRs ranging from 1.51 to 3.33), followed by those who had a baseline metabolic condition but with no COVID-19 infection (HRs ranging from 1.33 to 2.35), and those who had COVID-19 but no baseline metabolic condition (HRs ranging from 1.34 to 2.85). Conclusions: In a large national cohort of commercially insured adults, COVID-19 patients with a baseline metabolic condition had the highest risk of developing new clinical sequelae post-acute infection phase, followed by those who had baseline metabolic condition but no COVID-19 infection and those who had COVID-19 but no baseline metabolic disorder.