Building Data Infrastructure for Disease-Focused Health Economics Research.

BACKGROUND: Data infrastructure for cancer research is centered on registries that are often augmented with payer or hospital discharge databases, but these linkages are limited. A recent alternative in some states is to augment registry data with All-Payer Claims Databases (APCDs). These linkages capture patient-centered economic outcomes, including those driven by insurance and influence health equity, and can serve as a prototype for health economics research. OBJECTIVES: To describe and assess the utility of a linkage between the Colorado APCD and Colorado Central Cancer Registry (CCCR) data for 2012-2017. RESEARCH DESIGN, PARTICIPANTS, AND MEASURES: This cohort study of 91,883 insured patients evaluated the Colorado APCD-CCCR linkage on its suitability to assess demographics, area-level data, insurance, and out-of-pocket expenses 3 and 6 months after cancer diagnosis. RESULTS: The linkage had high validity, with over 90% of patients in the CCCR linked to the APCD, but gaps in APCD health plans limited available claims at diagnosis. We highlight the advantages of the CCCR-APCD, such as granular race and ethnicity classification, area-level data, the ability to capture supplemental plans, medical and pharmacy out-of-pocket expenses, and transitions in insurance plans. CONCLUSIONS: Linked data between registries and APCDs can be a cornerstone of a robust data infrastructure and spur innovations in health economics research on cost, quality, and outcomes. A larger infrastructure could comprise a network of state APCDs that maintain linkages for research and surveillance.

Patient and Family Factors Associated with Use of Telemedicine Visits for Pediatric Acute Respiratory Tract Infections, 2018-2019.

Background: Pediatric acute respiratory tract infections (ARTIs) were a common reason for commercial direct-to-consumer (DTC) telemedicine use before the COVID-19 pandemic, but the factors associated with this use are unknown. Objective: To identify child and family factors associated with use of commercial DTC telemedicine for ARTIs in 2018-2019. Methods: We performed a retrospective cohort analysis of claims data from the Optum Clinformatics® Data Mart Database. Among children with ARTI visits, we fitted logit models to examine child and family characteristics associated with DTC telemedicine use. Results: Of 660,725 children with ARTI visits, 12,944 (2.0%) had ≥1 commercial DTC telemedicine encounter. The odds of DTC telemedicine use were higher for children with age ≥12 years, lower parent educational attainment, higher household income, white non-Hispanic race/ethnicity, and residency in the West South Central census division. Conclusion: In 2018-2019, commercial DTC telemedicine use varied with child age, child race/ethnicity parent educational attainment, household income, and geography.

Barriers to rural health care from the provider perspective.

INTRODUCTION: Rural populations routinely rank poorly on common health indicators. While it is understood that rural residents face barriers to health care, the exact nature of these barriers remains unclear. To further define these barriers, a qualitative study of primary care physicians practicing in rural communities was performed. METHODS: Semistructured interviews were conducted with primary care physicians practicing in rural areas within western Pennsylvania, the third largest rural population within the USA, using purposively sampling. Data were then transcribed, coded, and analyzed by thematic analysis. RESULTS: Three key themes emerged from the analysis addressing barriers to rural health care: (1) cost and insurance, (2) geographic dispersion, and (3) provider shortage and burnout. Providers mentioned strategies that they either employed or thought would be beneficial for their rural communities: (1) subsidize services, (2) establish mobile and satellite clinics (particularly for specialty care), (3) increase utilization of telehealth, (4) improve infrastructure for ancillary patient support (ie social work services), and (5) increase utilization of advanced practice providers. CONCLUSION: There are numerous barriers to providing rural communities with quality health care. Barriers that are encountered are multidimensional. Patients are unable to obtain the care they need because of cost-related barriers. More providers need to be recruited to rural areas to combat the shortage and burnout. Advanced care-delivery methods such as telehealth, satellite clinics, or advanced practice providers can help bridge the gaps caused by geographic dispersion. Policy efforts should target all these aspects in order to appropriately address rural healthcare needs.

Capitalizing on Central Registries for Expanded Cancer Surveillance and Research.

BACKGROUND: State central cancer registries are an essential component of cancer surveillance and research that can be enriched through linkages to other databases. This study identified and described state central registry linkages to external data sources and assessed the potential for a more comprehensive data infrastructure with registries at its core. METHODS: We identified peer-reviewed papers describing linkages to state central cancer registries in all 50 states, Washington, DC, and Puerto Rico, published between 2010 and 2020. To complement the literature review, we surveyed registrars to learn about unpublished linkages. Linkages were grouped by medical claims (public and private insurers), medical records, other registries (eg, human immunodeficiency virus/acquired immunodeficiency syndrome registries, birth certificates, screening programs), and data from specific cohorts (eg, firefighters, teachers). RESULTS: We identified 464 data linkages with state central cancer registries. Linkages to cohorts and other registries were most common. Registries in predominately rural states reported the fewest linkages. Most linkages are not ongoing, maintained, or available to researchers. A third of linkages reported by registrars did not result in published papers. CONCLUSIONS: Central cancer registries, often in collaboration with researchers, have enriched their data through linkages. These linkages demonstrate registries' ability to contribute to a data infrastructure, but a coordinated and maintained approach is needed to leverage these data for research. Sparsely populated states reported the fewest linkages, suggesting possible gaps in our knowledge about cancer in these states. Many more linkages exist than have been reported in the literature, highlighting potential opportunities to further use the data for research purposes.

Patterns and Trends in Receipt of Opioids Among Patients Receiving Treatment for Cancer in a Large Health System.

BACKGROUND: Given limited evidence on opioid prescribing among patients receiving treatment for cancer during the ongoing opioid epidemic, our objective was to assess predictors of and trends in opioid receipt during cancer treatment, including how patterns differ by type of cancer. METHODS: Using cancer registry data, we identified patients with a first lifetime primary diagnosis of breast, colorectal, or lung cancer from 2013 to 2017 who underwent treatment within a large cancer center network. Cancer registry data were linked to electronic health record information on opioid prescriptions. We examined predictors of and trends in receipt of any opioid prescription within 12 months of cancer diagnosis. RESULTS: The percentage of patients receiving opioids varied by cancer type: breast cancer, 35% (1,996/5,649); colorectal, 37% (776/2,083); lung, 47% (1,259/2,654). In multivariable analysis, opioid use in the year before cancer diagnosis was the factor most strongly associated with receipt of opioids after cancer diagnosis, with 4.90 (95% CI, 4.10-5.86), 5.09 (95% CI, 3.88-6.69), and 3.31 (95% CI, 2.68-4.10) higher odds for breast, colorectal, and lung cancers, respectively. We did not observe a consistent decline in opioid prescribing over time, and trends differed by cancer type. CONCLUSIONS: Our findings suggest that prescription of opioids to patients with cancer varies by cancer type and other factors. In particular, patients are more likely to receive opioids after cancer diagnosis if they were previously exposed before diagnosis, suggesting that pain among patients with cancer may commonly include non-cancer-related pain. Heterogeneity and complexity among patients with cancer must be accounted for in developing policies and guidelines aimed at addressing pain management while minimizing the risk of opioid misuse.

The association between primary care use and potentially-preventable hospitalization among dual eligibles age 65 and over.

BACKGROUND: Individuals dually-enrolled in Medicare and Medicaid (dual eligibles) are disproportionately sicker, have higher health care costs, and are hospitalized more often for ambulatory care sensitive conditions (ACSCs) than other Medicare beneficiaries. Primary care may reduce ACSC hospitalizations, but this has not been well studied among dual eligibles. We examined the relationship between primary care and ACSC hospitalization among dual eligibles age 65 and older. METHODS: In this observational study, we used 100% Medicare claims data for dual eligibles ages 65 and over from 2012 to 2018 to estimate the likelihood of ACSC hospitalization as a function of primary care visits and other factors. We used linear probability models stratified by rurality, with subgroup analyses for dual eligibles with diabetes or congestive heart failure. RESULTS: Each additional primary care visit was associated with an 0.05 and 0.09 percentage point decrease in the probability of ACSC hospitalization among urban (95% CI: - 0.059, - 0.044) and rural (95% CI: - 0.10, - 0.08) dual eligibles, respectively. Among dual eligibles with CHF, the relationship was even stronger with decreases of 0.09 percentage points (95% CI: - 0.10, - 0.08) and 0.15 percentage points (95% CI: - 0.17, - 0.13) among urban and rural residents, respectively. CONCLUSIONS: Increased primary care use is associated with lower rates of preventable hospitalizations for dual eligibles age 65 and older, especially for dual eligibles with diabetes and congestive heart failure. In turn, efforts to reduce preventable hospitalizations for this dual-eligible population should consider how to increase access to and use of primary care.

Human Immunodeficiency Virus-Experienced Clinician Workforce Capacity: Urban-Rural Disparities in the Southern United States.

BACKGROUND: Human immunodeficiency virus (HIV)-experienced clinicians are critical for positive outcomes along the HIV care continuum. However, access to HIV-experienced clinicians may be limited, particularly in nonmetropolitan areas, where HIV is increasing. We examined HIV clinician workforce capacity, focusing on HIV experience and urban-rural differences, in the Southern United States. METHODS: We used Medicaid claims and clinician characteristics (Medicaid Analytic eXtract [MAX] and MAX Provider Characteristics, 2009-2011), county-level rurality (National Center for Health Statistics, 2013), and diagnosed HIV cases (AIDSVu, 2014) to assess HIV clinician capacity in 14 states. We assumed that clinicians accepting Medicaid approximated the region's HIV workforce, since three-quarters of clinicians accept Medicaid insurance. HIV-experienced clinicians were defined as those providing care to ≥ 10 Medicaid enrollees over 3 years. We assessed HIV workforce capacity with county-level clinician-to-population ratios, using Wilcoxon-Mann-Whitney tests to compare urban-rural differences. RESULTS: We identified 5012 clinicians providing routine HIV management, of whom 28% were HIV-experienced. HIV-experienced clinicians were more likely to specialize in infectious diseases (48% vs 6%, P < .001) and practice in urban areas (96% vs 83%, P < .001) compared to non-HIV-experienced clinicians. The median clinician-to-population ratio for all HIV clinicians was 13.3 (interquartile range, 38.0), with no significant urban-rural differences. When considering HIV experience, 81% of counties had no HIV-experienced clinicians, and rural counties generally had fewer HIV-experienced clinicians per 1000 diagnosed HIV cases (P < .001). CONCLUSIONS: Significant urban-rural disparities exist in HIV-experienced workforce capacity for communities in the Southern United States. Policies to improve equity in access to HIV-experienced clinical care for both urban and rural communities are urgently needed.

A framework for cancer health economics research.

LAY SUMMARY: Cancer has substantial economic impacts for patients, their families and/or caregivers, employers, and the health care system. However, there is only limited understanding of how economic issues can affect access to cancer care services and the receipt of high-quality cancer care. Health economics research in cancer is particularly timely due to the large and increasing number of patients with cancer and cancer survivors, but there are many factors that may create barriers to performing cancer health economics research. This commentary has identified important topics and questions in cancer health economics research and will assist in the development of this critical field.

Changes in initiation of adjuvant endocrine therapy for breast cancer after state health reform.

BACKGROUND: Socioeconomic differences in receipt of adjuvant treatment contribute to persistent disparities in breast cancer (BCA) outcomes, including survival. Adjuvant endocrine therapy (AET) substantially reduces recurrence risk and is recommended by clinical guidelines for nearly all women with hormone receptor-positive non-metastatic BCA. However, AET use among uninsured or underinsured populations has been understudied. The health reform implemented by the US state of Massachusetts in 2006 expanded health insurance coverage and increased the scope of benefits for many with coverage. This study examines changes in the initiation of AET among BCA patients in Massachusetts after the health reform. METHODS: We used Massachusetts Cancer Registry data from 2004 to 2013 for a sample of estrogen receptor (ER)-positive BCA surgical patients aged 20-64 years. We estimated multivariable regression models to assess differential changes in the likelihood initiating AET after Massachusetts health reform by area-level income, comparing women from lower- and higher-income ZIP codes in Massachusetts. RESULTS: There was a 5-percentage point (p-value< 0.001) relative increase in the likelihood of initiating AET among BCA patients aged 20-64 years in low-income areas, compared to higher-income areas, after the reform. The increase was more pronounced among younger patients aged 20-49 years (7.1-percentage point increase). CONCLUSIONS: The expansion of health insurance in Massachusetts was associated with a significant relative increase in the likelihood of AET initiation among women in low-income areas compared with those in high-income areas. Our results suggest that expansions of health insurance coverage and improved access to care can increase the number of eligible patients initiating AET and may ameliorate socioeconomic disparities in BCA outcomes.

Patient Factors Limit Colon Cancer Survival at Safety-Net Hospitals: A National Analysis.

BACKGROUND: Safety-net hospitals serve a vital role in society by providing care for vulnerable populations. Existing data regarding oncologic outcomes of patients with colon cancer treated at safety-net hospitals are limited and variable. The objective of this study was to delineate disparities in treatment and outcomes for patients with colon cancer treated at safety-net hospitals. METHODS: This retrospective cohort study identified 802,304 adult patients with colon adenocarcinoma from the National Cancer Database between 2004-2016. Patients were stratified according to safety-net burden of the treating hospital as previously described. Patient, tumor, facility, and treatment characteristics were compared between groups as were operative and short-term outcomes. Cox proportional hazards regression was utilized to compare overall survival between patients treated at high, medium, and low burden hospitals. RESULTS: Patients treated at safety-net hospitals were demographically distinct and presented with more advanced disease. They were also less likely to receive surgery, adjuvant chemotherapy, negative resection margins, adequate lymphadenectomy, or a minimally invasive operative approach. On multivariate analysis adjusting for patient and tumor characteristics, survival was inferior for patients at safety-net hospitals, even for those with stage 0 (in situ) disease. CONCLUSION: This analysis revealed inferior survival for patients with colon cancer treated at safety-net hospitals, including those without invasive cancer. These findings suggest that unmeasured population differences may confound analyses and affect survival more than provider or treatment disparities.

Medicaid expansion and the management of pancreatic cancer.

BACKGROUND: Medicaid expansion under the Affordable Care Act has improved access to screening and treatment for certain cancers. It is unclear how this policy has affected the diagnosis and management of pancreatic cancer. METHODS: Using a quasi-experimental difference-in-differences (DID) approach, we analyzed Medicaid and uninsured patients in the National Cancer Data Base during two time periods: pre-expansion (2011-2012) and postexpansion (2015-2016). We investigated changes in cancer staging, treatment decisions, and surgical outcomes. RESULTS: In this national cohort, pancreatic cancer patients in expansion states had increased Medicaid coverage relative to those in nonexpansion states (DID = 17.49, p < 0.01). Medicaid expansion also led to an increase in early-stage diagnoses (Stage I/II, DID = 4.71, p = 0.03), higher comorbidity scores among surgical patients (Charlson/Deyo score 0: DID = -13.69, p = 0.02), a trend toward more neoadjuvant radiation (DID = 6.15, p = 0.06), and more positive margins (DID = 11.69, p = 0.02). There were no differences in rates of surgery, postoperative outcomes, or overall survival. CONCLUSION: Medicaid expansion was associated with improved insurance coverage and earlier stage diagnoses for Medicaid and uninsured pancreatic cancer patients, but similar surgical outcomes and overall survival. These findings highlight both the benefits of Medicaid expansion and the potential limitations of policy change to improve outcomes for such an aggressive malignancy.

Emergency Department and Ambulatory Care Visits in the First Twelve Months of Coverage Under Medicaid Expansion: A Group-Based Trajectory Analysis.

STUDY OBJECTIVE: More than 17 million people have gained health insurance coverage through the Patient Protection and Affordable Care Act's Medicaid expansion. Few studies have examined heterogeneity within the Medicaid expansion population. We do so based on time-varying patterns of emergency department (ED) and ambulatory care use, and characterize diagnoses associated with ED and ambulatory care visits to evaluate whether certain diagnoses predominate in individual trajectories. METHOD: We used group-based multitrajectory modeling to jointly estimate trajectories of ambulatory care and ED utilization in the first 12 months of enrollment among Pennsylvania Medicaid expansion enrollees from 2015 to 2017. RESULTS: Among 601,877 expansion enrollees, we identified 6 distinct groups based on joint trajectories of ED and ambulatory care use. Mean ED use varied across groups from 3.4 to 48.7 visits per 100 enrollees in the first month and between 2.8 and 44.0 visits per 100 enrollees in month 12. Mean ambulatory visit rates varied from 0.0 to 179 visits per 100 enrollees in the first month and from 0.0 to 274 visits in month 12. Rates of ED visits did not change over time, but rates of ambulatory care visits increased by at least 50% among 4 groups during the study period. Groups varied on chronic condition diagnoses, including mental health and substance use disorders, as well as diagnoses associated with ambulatory care visits. CONCLUSION: We found substantial variation in rates of ED and ambulatory care use across empirically defined subgroups of Medicaid expansion enrollees. We also identified heterogeneity among the diagnoses associated with these visits. This data-driven approach may be used to target resources to encourage efficient use of ED services and support engagement with ambulatory care clinicians.

Welcome Mats and On-Ramps for Older Adults: The Impact of the Affordable Care Act's Medicaid Expansions on Dual Enrollment in Medicare and Medicaid.

For many low-income Medicare beneficiaries, Medicaid provides important supplemental insurance that covers out-of-pocket costs and additional benefits. We examine whether Medicaid participation by low-income adults age 65 and up increased as a result of Medicaid expansions to working-age adults under the Affordable Care Act (ACA). Previous literature documents so-called "welcome mat" effects in other populations but has not explicitly studied older persons dually eligible for Medicare and Medicaid. We extend this literature by estimating models of Medicaid participation among persons age 65 and up using American Community Survey data from 2010 to 2017 and state variation in ACA Medicaid expansions. We find that Medicaid expansions to working-age adults increased Medicaid participation among low-income older adults by 1.8 percentage points (4.4 percent). We also find evidence of an "on-ramp" effect; that is, low-income Medicare beneficiaries residing in expansion states who were young enough to gain coverage under the 2014 ACA Medicaid expansions before aging into Medicare were 4 percentage points (9.5 percent) more likely to have dual Medicaid coverage relative to similar individuals who either turned 65 before the 2014 expansions or resided in non-expansion states. This on-ramp effect is an important mechanism behind welcome mat effects among some older adults.

Under Treatment of Prostate Cancer in Rural Locations.

PURPOSE: Compared to urban populations, rural populations rank poorly on numerous health indicators, including cancer outcomes. We examined the relationship of rural residence with stage and treatment among patients with prostate cancer, the second most common malignancy in men. MATERIALS AND METHODS: Using the Pennsylvania Cancer Registry we identified all men diagnosed with prostate cancer between 2009 and 2015. Patients were classified as residing in a rural area, a large town or an urban area using the Rural-Urban Commuting Area classification. Our primary outcomes included indicators of prostate cancer treatment and treatment types but we also examined disease stage and mortality. We used the chi-square tests to assess differences between groups and estimated multivariable logistic regression models to assess the association between rural residence and treatment. RESULTS: We identified 51,024 men diagnosed with localized or metastatic prostate cancer between 2009 and 2015. The overall incidence of prostate cancer decreased during the study period from 416 to 304/100,000 men while the incidence of metastatic disease increased from 336 to 538/100,000. Rural residents were less likely to undergo treatment than urban residents even when stratified by low, intermediate and high risk disease (aOR 0.77, 95% CI 0.64-0.91; aOR 0.71, 95% CI 0.58-0.89; and aOR 0.68, 95% CI 0.53-0.89, respectively). Rural status did not affect the receipt of radiation therapy compared to other treatment types. CONCLUSIONS: Prostate cancer treatment differs between urban and rural residents. Rural residents are less likely to receive treatment even when stratified by disease risk.

The Impact of Massachusetts Health Reform on Colorectal and Breast Cancer Stage at Diagnosis.

BACKGROUND: This study examines the expansion of health insurance coverage in Massachusetts under state health reform as a natural experiment to investigate whether expanded insurance coverage reduced the likelihood of advanced stage colorectal cancer (CRC) and breast cancer (BCA) diagnosis. METHODS: Our study populations include CRC or BCA patients aged 50-64 years observed in the Massachusetts Cancer Registry and Surveillance Epidemiology and End Results (SEER) registries for 2001-2013. We use difference-in-differences regression models to estimate changes in the likelihood of advanced stage diagnosis after Massachusetts health reform, relative to comparison states without expanded coverage (Connecticut, New Jersey, Georgia, Kentucky, and Michigan). RESULTS: We find some suggestive evidence of a decline in the proportion of advanced stage CRC cases. Approximately half of the CRC patients in Massachusetts and control states were diagnosed at advanced stages pre reform; there was a 2 percentage-point increase in this proportion across control states and slight decline in Massachusetts post reform. Adjusted difference-in-difference estimates suggest a 3.4 percentage-point (P=0.005) or 7% decline, relative to Massachusetts baseline, in the likelihood of advanced stage diagnosis after the reform in Massachusetts, though this result is sensitive to years included in the analysis. We did not find a significant effect of reform on BCA stage at diagnosis. CONCLUSIONS: The decline in the likelihood of advanced stage CRC diagnosis after Massachusetts health reform may suggest improvements in access to health care and CRC screening. Similar declines were not observed for BCA, perhaps due to established BCA-specific safety-net programs.

Sex differences in the impact of Affordable Care Act Medicaid expansion on colorectal cancer screening.

Access to care varies by sex such that interactions with insurance status result in mixed patterns of preventive services utilization. We examined sex-specific effects of ACA Medicaid expansions on receipt of CRC screening. We used Behavioral Risk Factor Surveillance System data (2008-2016) for adults aged 50-64 years with household income ≤138% of federal poverty level to examine self-reported lifetime use of guideline-recommended CRC screening services overall and by screening modality. We employed difference-in-difference models comparing changes in CRC screening in 20 Medicaid expansion states before and after the ACA to changes in 18 states that did not expand Medicaid during our study period. We divided the expansion period into implementation (2014) and post-expansion (2016) periods to account for possible lagged effects. We observed time-varying effects of Medicaid expansion that revealed relative increases in CRC screening occurring during the post-expansion period. Heterogeneous effects by sex and by screening modality were also observed: there was a significant relative increase of 16.2 percentage points (95% CI [2.2, 30.2]; p-value = 0.023) in lifetime colonoscopy use among women in expansion states relative to non-expansion states in the post-expansion period. There were no significant effects of Medicaid expansion among men. Health insurance expansion had a lagged but significant effect on CRC screening among low-income non-elderly women in Medicaid expansion states, but no effect for men. The observed increase in CRC screening among women suggests that barriers to CRC screening may differ by sex, and tailored interventions to increase CRC screening improve outcomes.

Structural barriers to comprehensive, coordinated HIV care: geographic accessibility in the US South.

Structural barriers to HIV care are particularly challenging in the US South, which has higher HIV diagnosis rates, poverty, uninsurance, HIV stigma, and rurality, and fewer comprehensive public health programs versus other US regions. Focusing on one structural barrier, we examined geographic accessibility to comprehensive, coordinated HIV care (HIVCCC) in the US South. We integrated publicly available data to study travel time to HIVCCC in 16 Southern states and District of Columbia. We geocoded HIVCCC service locations and estimated drive time between the population-weighted county centroid and closest HIVCCC facility. We evaluated drive time in aggregate, and by county-level HIV prevalence quintile, urbanicity, and race/ethnicity. Optimal drive time was ≤30 min, a common primary care accessibility threshold. We identified 228 service locations providing HIVCCC across 1422 Southern counties, with median drive time to care of 70 min (IQR 64 min). For 368 counties in the top HIV prevalence quintile, median drive time is 50 min (IQR 61 min), exceeding 60 min in over one-third of these counties. Among counties in the top HIV prevalence quintile, drive time to care is six-folder higher for rural versus super-urban counties. Counties in the top HIV prevalence quintiles for non-Hispanic Blacks and for Hispanics have >50% longer drive time to care versus for non-Hispanic Whites. Including another potential care source-publicly-funded health centers serving low-income populations-could double the number of high-HIV burden counties with drive time ≤30 min, representing nearly 35,000 additional people living with HIV with accessible HIVCCC. Geographic accessibility to HIVCCC is inadequate in the US South, even in high HIV burden areas, and geographic and racial/ethnic disparities exist. Structural factors, such as geographic accessibility to care, may drive disparities in health outcomes. Further research on programmatic policies, and evidence-based alternative HIV care delivery models improving access to care, is critical.

Impact of Medicaid disenrollment in Tennessee on breast cancer stage at diagnosis and treatment.

BACKGROUND: States routinely may consider rollbacks of Medicaid expansions to address statewide economic conditions. To the authors' knowledge, little is known regarding the effects of public insurance contractions on health outcomes. The current study examined the effects of the 2005 Medicaid disenrollment in Tennessee on breast cancer stage at the time of diagnosis and delays in treatment among nonelderly women. METHODS: The authors used Tennessee Cancer Registry data from 2002 through 2008 and estimated a difference-in-difference model comparing women diagnosed with breast cancer who lived in low-income zip codes (and therefore were more likely to be subject to disenrollment) with a similar group of women who lived in high-income zip codes before and after the 2005 Medicaid disenrollment. The study outcomes were changes in stage of disease at the time of diagnosis and delays in treatment of >60 days and >90 days. RESULTS: Overall, nonelderly women in Tennessee were diagnosed at later stages of disease and experienced more delays in treatment in the period after disenrollment. Disenrollment was found to be associated with a 3.3-percentage point increase in late stage of disease at the time of diagnosis (P = .024), a 1.9-percentage point decrease in having a delay of >60 days in surgery (P = .024), and a 1.4-percentage point decrease in having a delay of >90 days in treatment (P = .054) for women living in low-income zip codes compared with women residing in high-income zip codes. CONCLUSIONS: The results of the current study indicate that Medicaid disenrollment is associated with a later stage of disease at the time of breast cancer diagnosis, thereby providing evidence of the potential negative health impacts of Medicaid contractions. Cancer 2017;123:3312-9. © 2017 American Cancer Society.

Changes in Emergency Department Utilization After Early Medicaid Expansion in California.

BACKGROUND: Medicaid expansions aim to improve access to primary care, which could reduce nonemergent (NE) use of the emergency department (ED). In contrast, Medicaid enrollees use the ED more than other groups, including the uninsured. Thus, the expected impact of Medicaid expansion on ED use is unclear. OBJECTIVES: To estimate changes in total and NE ED visits as a result of California's early Medicaid expansion under the Affordable Care Act. In addition to overall changes in the number of visits, changes by payer and safety net hospital status are examined. METHODS: We used a quasi-experimental approach to examine changes in ED utilization, comparing California expansion counties to comparison counties from California and 2 other states in the same region that did not implement Medicaid expansion during the study period. RESULTS: Regression estimates show no significant change in total number of ED visits following expansion. Medicaid visits increased by 145 visits per hospital-quarter in the first year following expansion and 242 visits subsequent to the first year, whereas visits among uninsured patients decreased by 129 visits per hospital-quarter in the first year and 175 visits in subsequent years, driven by changes at safety net hospitals. We also observe an increase in NE visits per hospital-quarter paid for by Medicaid, and a significant decrease in uninsured NE visits. CONCLUSIONS: Medicaid expansions in California were associated with increases in ED visits paid for by Medicaid and declines in uninsured visits. Expansion was also associated with changes in NE visits among Medicaid enrollees and the uninsured.