The global gap in treatment coverage for major depressive disorder in 84 countries from 2000-2019: A systematic review and Bayesian meta-regression analysis.

BACKGROUND: The treatment coverage for major depressive disorder (MDD) is low in many parts of the world despite MDD being a major contributor to disability globally. Most existing reviews of MDD treatment coverage do not account for potential sources of study-level heterogeneity that contribute to variation in reported treatment rates. This study aims to provide a comprehensive review of the evidence and analytically quantify sources of heterogeneity to report updated estimates of MDD treatment coverage and gaps by location and treatment type between 2000 and 2019. METHODS AND FINDINGS: A systematic review of the literature was conducted to identify relevant studies that provided data on treatment rates for MDD between January 1, 2000, and November 26, 2021, from 2 online scholarly databases PubMed and Embase. Cohort and cross-sectional studies were included if treatment rates pertaining to the last 12 months or less were reported directly or if sufficient information was available to calculate this along with 95% uncertainty intervals (UIs). Studies were included if they made use of population-based surveys that were representative of communities, countries, or regions under study. Studies were included if they used established diagnostic criteria to diagnose cases of MDD. Sample and methodological characteristics were extracted from selected studies. Treatment rates were modeled using a Bayesian meta-regression approach and adjusted for select covariates that quantified heterogeneity in the data. These covariates included age, sex, treatment type, location, and choice of MDD assessment tool. A total of 149 studies were included for quantitative analysis. Treatment coverage for health service use ranged from 51% [95% UI 20%, 82%] in high-income locations to 20% [95% UI 1%, 53%] in low- and lower middle-income locations. Treatment coverage for mental health service use ranged from 33% [95% UI 8%, 66%] in high-income locations to 8% [95% UI <1%, 36%] in low- and lower middle-income countries. Minimally adequate treatment (MAT) rates ranged from 23% [95% UI 2%, 55%] in high-income countries to 3% [95% UI <1%, 25%]) in low- and lower middle-income countries. A primary methodological limitation was the lack of sufficient data from low- and lower middle-income countries, which precluded our ability to provide more detailed treatment rate estimates. CONCLUSIONS: In this study, we observed that the treatment coverage for MDD continues to be low in many parts of the world and in particular in low- and lower middle-income countries. There is a continued need for routine data collection that will help obtain more accurate estimates of treatment coverage globally.

The effect of expanded insurance coverage under the Affordable Care Act on emergency department utilization in New York.

BACKGROUND: One of the proposed benefits of expanding insurance coverage under the Affordable Care Act (ACA) was a reduction in emergency department (ED) utilization for non-urgent visits related to lack of health insurance coverage and access to primary care providers. The objective of this study was to estimate the effect of the 2014 ACA implementation on ED use in New York. METHODS: We used the Healthcare Cost and Utilization Project State Emergency Department and State Inpatient Databases for all outpatient and all inpatient visits for patients admitted through an ED from 2011 to 2016. We focused on in-state residents aged 18 to 64, who were covered under Medicaid, private insurance, or were uninsured prior to the 2014 expansion. We estimated the effect of the expanded insurance coverage on average monthly ED visits volumes and visits per 1000 residents (rates) using interrupted time-series regression analyses. RESULTS: After ACA implementation, overall average monthly ED visits increased by around 3.0%, both in volume (9362; 95% Confidence Intervals [CI]: 1681-17,522) and in rates (0.80, 95% CI:0.12-1.49). Medicaid covered ED visits volume increased by 23,972 visits (95% CI: 16,240 -31,704) while ED visits by the uninsured declined by 13,297 (95% CI:-15,856 - -10,737), and by 1453 (95% CI:-4027-1121) for the privately insured. Medicaid ED visits rates per 1000 residents increased by 0.77 (95% CI:-1.96-3.51) and by 2.18 (95% CI:-0.55-4.92) for those remaining uninsured, while private insurance visits rates decreased by 0.48 (95% CI:-0.79 - -0.18). We observed increases in primary-care treatable ED visits and in visits related to mental health and alcohol disorders, substance use, diabetes, and hypertension. All estimated changes in monthly ED visits after the expansion were statistically significant, except for ED visit rates among Medicaid beneficiaries. CONCLUSION: Net ED visits by adults 18 to 64 years of age increased in New York after the implementation of the ACA. Large increases in ED use by Medicaid beneficiaries were partially offset by reductions among the uninsured and those with private coverage. Our results suggest that efforts to expand health insurance coverage only will be unlikely to reverse the increase in ED use.

HIV testing and treatment coverage achieved after 4 years across 14 urban and peri-urban communities in Zambia and South Africa: An analysis of findings from the HPTN 071 (PopART) trial.

BACKGROUND: In 2014, the Joint United Nations Programme on HIV/AIDS (UNAIDS) set the 90-90-90 targets: that 90% of people living with HIV know their HIV status, that 90% of those who know their HIV-positive status are on antiretroviral therapy (ART), and that 90% of those on treatment are virally suppressed. The aim was to reach these targets by 2020. We assessed the feasibility of achieving the first two targets, and the corresponding 81% ART coverage target, as part of the HIV Prevention Trials Network (HPTN) 071 Population Effects of Antiretroviral Therapy to Reduce HIV Transmission (PopART) community-randomized trial. METHODS AND FINDINGS: The study population was individuals aged ≥15 years living in 14 urban and peri-urban "PopART intervention" communities in Zambia and South Africa (SA), with a total population of approximately 600,000 and approximately 15% adult HIV prevalence. Community HIV care providers (CHiPs) delivered the PopART intervention during 2014-2017. This was a combination HIV prevention package including universal home-based HIV testing, referral of HIV-positive individuals to government HIV clinic services that offered universal ART (Arm A) or ART according to national guidelines (Arm B), and revisits to HIV-positive individuals to support linkage to HIV care and retention on ART. The intervention was delivered in 3 "rounds," each about 15 months long, during which CHiPs visited all households and aimed to contact all individuals aged ≥15 years at least once. In Arm A in Round 3 (R3), 67% (41,332/61,402) of men and 86% (56,345/65,896) of women in Zambia and 56% (17,813/32,095) of men and 71% (24,461/34,514) of women in SA participated in the intervention, among 193,907 residents aged ≥15 years. Following participation, HIV status was known by 90% of men and women in Zambia and by 78% of men and 85% of women in SA. The median time from CHiP referral of HIV-positive individuals to ART initiation was approximately 3 months. By the end of R3, an estimated 95% of HIV-positive women and 85% of HIV-positive men knew their HIV status, and among these individuals, approximately 90% of women and approximately 85% of men were on ART. ART coverage among all HIV-positive individuals was approximately 85% in women and approximately 75% in men, up from about 45% at the start of the study. ART coverage was lowest among men aged 18 to 34 and women aged 15 to 24 years, and among mobile individuals/in-migrants. Findings from Arm B were similar. The main limitations to our study were that estimates of testing and treatment coverage among men relied on considerable extrapolation because, in each round, approximately one-third of men did not participate in the PopART intervention; that our findings are for a service delivery model that was relatively intensive; and that we did not have comparable data from the 7 "standard-of-care" (Arm C) communities. CONCLUSIONS: Our study showed that very high HIV testing and treatment coverage can be achieved through persistent delivery of universal testing, facilitated linkage to HIV care, and universal treatment services. The ART coverage target of 81% was achieved overall, after 4 years of delivery of the PopART intervention, though important gaps remained among men and young people. Our findings are consistent with previously reported findings from southern and east Africa, extending their generalisability to urban settings with high rates of in-migration and mobility and to Zambia and SA. TRIAL REGISTRATION: ClinicalTrials.gov NCT01900977.

Disparities in United States hospitalizations for serious infections in patients with and without opioid use disorder: A nationwide observational study.

BACKGROUND: Patients with opioid use disorder (OUD) who are hospitalized for serious infections requiring prolonged intravenous antibiotics may face barriers to discharge, which could prolong hospital length of stay (LOS) and increase financial burden. We investigated differences in LOS, discharge disposition, and charges between hospitalizations for serious infections in patients with and without OUD. METHODS AND FINDINGS: We utilized the 2016 National Inpatient Sample-a nationally representative database of all discharges from US acute care hospitals. The population of interest was all hospitalizations for infective endocarditis, epidural abscess, septic arthritis, or osteomyelitis. The exposure was OUD, and the primary outcome was LOS until discharge, assessed by using a competing risks analysis to estimate adjusted hazard ratios (aHRs). Adjusted odds ratio (aOR) of discharge disposition and adjusted differences in hospital charges were also reported. Of 95,470 estimated hospitalizations for serious infections (infective endocarditis, epidural abscess, septic arthritis, and osteomyelitis), the mean age was 49 years and 35% were female. 46% had Medicare (government-based insurance coverage for people age 65+ years), and 70% were non-Hispanic white. After adjustment for potential confounders, OUD was associated with a lower probability of discharge at any given LOS (aHR 0.61; 95% CI 0.59-0.63; p < 0.001). OUD was also associated with lower odds of discharge to home (aOR 0.38; 95% CI 0.33-0.43; p < 0.001) and higher odds of discharge to a post-acute care facility (aOR 1.85; 95% CI 1.57-2.17; p < 0.001) or patient-directed discharge (also referred to as "discharge against medical advice") (aOR 3.47; 95% CI 2.80-4.29; p < 0.001). There was no significant difference in average total hospital charges, though daily hospital charges were significantly lower for patients with OUD. Limitations include the potential for unmeasured confounders and the use of billing codes to identify cohorts. CONCLUSIONS: Our findings suggest that among hospitalizations for some serious infections, those involving patients with OUD were associated with longer LOS, higher odds of discharge to post-acute care facilities or patient-directed discharge, and similar total hospital charges, despite lower daily charges. These findings highlight opportunities to improve care for patients with OUD hospitalized with serious infections, and to reduce the growing associated costs.

Health and Access to Care during the First 2 Years of the ACA Medicaid Expansions.

BACKGROUND: By September 2015, a total of 29 states and Washington, D.C., were participating in Medicaid expansions under the Affordable Care Act. We examined whether Medicaid expansions were associated with changes in insurance coverage, health care use, and health among low-income adults. METHODS: We compared changes in outcomes during the 2 years after implementation of the Medicaid expansion (2014 and 2015) relative to the 4 years before expansion (2010 through 2013) in states with and without expansions, using data from the National Health Interview Survey. The sample consisted of 60,766 U.S. citizens who were 19 to 64 years of age and had incomes below 138% of the federal poverty level. Outcomes included insurance coverage, access to and use of medical care in the past 12 months, and health status as reported by the respondents. RESULTS: A total of 29 states and Washington, D.C., expanded Medicaid by September 1, 2015. In year 2 after implementation, uninsurance rates were reduced in expansion states relative to nonexpansion states (difference-in-differences estimate, -8.2 percentage points; P<0.001) and rates of Medicaid coverage were increased (difference-in-differences estimate, 15.6 percentage points; P<0.001). Expansions were not associated with significant changes in the likelihood of a doctor visit or overnight hospital stay or health status as reported by the respondent. However, as compared with nonexpansion states, expansion states had a decrease in reports of inability to afford needed follow-up care (difference-in-differences estimate, -3.4 percentage points; P=0.002) and in reports of worry about paying medical bills (difference-in-differences estimate, -7.9 percentage points; P=0.002) and an increase in reports of medical care being delayed because of wait times for appointments (difference-in-differences estimate, 2.6 percentage points; P=0.02). CONCLUSIONS: Medicaid expansion was associated with increased insurance coverage and access to care during the second year of implementation, but it was also associated with longer wait times for appointments, which suggests that challenges in access to care persist.

Redefining the "Public Option": Lessons from Washington State and New Mexico.

Policy Points States are enacting a host of policy initiatives designed to reduce the number of Americans without health insurance. Policymakers and policy analysts need to examine whether this "laboratory of federalism" is producing ideas that can and should be replicated on a national scale. This article evaluates reform efforts in two states: Washington state, which enacted what its policymakers call a "public option" and New Mexico, which failed in its effort to enact a Medicaid buy-in. Some common themes emerge. First, without federal funding, state efforts to aid the uninsured remain limited. Second, the gap between commercial and public insurance reimbursement rates poses an additional significant obstacle. Washington state was able to overcome these obstacles by enacting a law (called Cascade Care) which imposes public sector reimbursement rates in a commercial insurance market (the state's ACA Marketplace). This quasi- or redefined public option could become a politically viable model for federal policymakers.

The association between health care coverage and prevalence of cardiovascular diseases and diabetes over a 10-year period.

Persons without health care coverage have poorer health outcomes. We investigated the association between health care coverage and trends in the prevalence of cardiovascular disease (CVD) and diabetes pre- and post-Affordable Care Act (ACA) periods. Using data from 3,824,678 surveyed adults in the Behavioral Risk Factor Surveillance System survey from 2007 - 2016, we calculated the yearly prevalence of CVD and diabetes. Using logistic regression, we investigated the association between health care coverage and CVD and diabetes, controlling for sociodemographic factors (age, sex, race, marital status, education and income). The mean age of participants was 55.3 ± 18.9 years. Health care coverage increased from 88.6% in 2007 to 93% in 2016. The prevalence of CVD and diabetes increased from pre- to post-ACA periods. After adjustment, in pre-ACA period, the odds ratio (OR) for the association between health care coverage and CVD and diabetes was 1.32 (95% CI:1.30-1.34) and 1.44 (95% CI:1.41-1.46), respectively; in the post-ACA period, the OR was 1.26 (95% CI:1.22-1.30) and 1.48 (95% CI:1.44-1.52), respectively. We found a significant association between health care coverage and trends in the prevalence of CVD and diabetes in the pre- and post-ACA periods.

Trends and Factors Associated With Insurer Approval of Proprotein Convertase Subtilisin/Kexin Type 9 Inhibitor Prescriptions.

OBJECTIVES: Proprotein convertase subtilisin/kexin type 9 inhibitors (PCSK9is)-innovative yet costly cholesterol-lowering agents-have been subject to substantial prior authorization (PA) requirements and low approval rates. We aimed to investigate trends in insurer approval and reasons for rejection for PCSK9i prescriptions as well as associations between patients' demographic, clinical, pharmacy, payer, and PCSK9i-specific plan/coverage factors and approval. METHODS: We examined trends in PCSK9i approval rates and reasons for rejection using medical and prescription claims from 2015 to 2017 for individuals who received a PCSK9i prescription. We used multinomial logistic regression to estimate quarterly risk-adjusted approval rates for initial PCSK9i prescriptions and approval for any PCSK9i prescription within 30, 90, and 180 days of the initial PCSK9i prescription. For a 2016 subsample for whom we had PCSK9i-specific plan policy data, we examined factors associated with approval including PCSK9i-specific plan formulary coverage, step therapy requirements, and number of PA criteria. RESULTS: The main sample included 12 309 patients (mean age 64.8 years [SD = 10.8], 52.1% female, 51.5% receiving Medicare) and was similar in characteristics to the 2016 subsample (n = 6091). Approval rates varied across quarters but remained low (initial prescription, 13%-23%; within 90 days, 28%-44%). Over time, rejections owing to a lack of formulary coverage decreased and rejections owing to PA requirements increased. Lack of formulary coverage and having ≥11 PA criteria in the plan policy were associated with lower odds of PCSK9i prescription approval. CONCLUSIONS: These findings confirm ongoing PCSK9i access issues and offer a baseline for comparison in future studies examining the impact of recent efforts to improve PCSK9i access.

Influence of health insurance status on childhood cancer treatment outcomes in Kenya.

BACKGROUND: Survival of childhood cancer in high-income countries is approximately 80%, whereas in low-income countries, it is less than 10%. Limited access to health insurance in low-income settings may contribute to poor survival rates. This study evaluates the influence of health insurance status on childhood cancer treatment in a Kenyan academic hospital. METHODS: This was a retrospective study. All children diagnosed with a malignancy from 2010 until 2012 were included. Data on treatment outcomes and health insurance status at diagnosis were abstracted from patient charts. RESULTS: Of 280 patients, 34% abandoned treatment, 19% died, and 18% had progressive or relapsed disease resulting in 29% event-free survival. The majority of patients (65%) did not have health insurance at diagnosis. Treatment results differed significantly between patients with different health insurance status at diagnosis; 37% of uninsured versus 28% of insured patients abandoned treatment, and 24% of uninsured versus 37% of insured patients had event-free survival. The event-free survival estimate was significantly higher for patients with health insurance at diagnosis compared with those without (P = 0.004). Of patients without health insurance at diagnosis, 77% enrolled during treatment. Among those patients who later enrolled in health insurance, frequency of progressive or relapsed disease and deaths was significantly lower (P = 0.013, P < 0.001, respectively), while the event-free survival estimate was significantly higher (P < 0.001) compared with those who never enrolled. CONCLUSION: Childhood cancer event-free survival was 29% at a Kenyan hospital. Children without health insurance had significant lower chance of event-free survival. Childhood cancer treatment outcomes could be ameliorated by strategies that prevent treatment abandonment and improve access to health insurance.

A Cross-sectional Analysis of Insurance Coverage of Extremity Contouring After Massive Weight Loss.

INTRODUCTION: After bariatric surgery, patients often experience redundant skin in the upper arms and medial thighs as sequelae of massive weight loss. Insurance companies have unpredictable criteria to determine the medical necessity of brachioplasty and thighplasty, which are often ascribed as cosmetic procedures. We evaluated current insurance coverage and characterized policy criteria for extremity contouring in the postbariatric population. METHODS: We conducted a cross-sectional analysis of insurance policies for coverage of brachioplasty and thighplasty in January 2019. Insurance companies were selected based on their state enrolment data and market share. A web-based search and direct calls were conducted to identify policies. A comprehensive list of standard criteria was compiled based on the policies that offered coverage. RESULTS: Of the 56 insurance companies assessed, half did not provide coverage for either procedure (n = 28). No single criterion featured universally across brachioplasty and thighplasty policies. Functional impairment was the most commonly cited condition for preapproval of brachioplasty and/or thighplasty (94%). Conversely, minimum weight loss was the least frequent criterion within the insurance policies (6%). Only 5% of the insurance companies (n = 3) would consider coverage of liposuction-assisted lipectomy as a modality for brachioplasty or thighplasty. CONCLUSIONS: We propose a comprehensive list of reporting recommendations to help optimize authorization of extremity contouring in the postbariatric population. There is great intercompany variation in preapproval criteria for brachioplasty and thighplasty, illustrating an absence of established recommendations or guidelines. High-level evidence and investigations are needed to ascertain validity of the limited coverage criteria in current use.

Persisting gaps in M-OUD coverage at post-discharge recovery houses necessitate our continued advocacy.

Effective treatment of opioid use disorder (OUD) must target both the medical and psychosocial aspects of a patient's condition. This, in turn, requires a collaboration between medical providers and social supports. We would like to illustrate a key difficulty in this collaboration for some patients in our country: many post-discharge recovery houses continue to refuse to allow patients to remain on medication treatment for OUD (M-OUD). This barrier to M-OUD access in recovery houses is a significant obstacle to effective OUD treatment.

How Workers Fared under the ACA.

Many politicians, policy makers, and analysts have debated whether the Affordable Care Act (ACA) would have negative effects on the labor market, such as reducing employment, earnings, or hours worked. Building on the existing literature, we investigated how workers' coverage changed under the ACA and whether coverage gains were associated with changes in labor market outcomes across occupations through 2017. We also examined whether occupations experiencing increased coverage through nonemployment sources (i.e., Medicaid or individual plans purchased on the ACA's Marketplaces) also experienced offsetting declines in employer-sponsored insurance (ESI) coverage. Finally, we investigated whether the employer mandate was associated with changes in ESI offers to workers. Among workers in occupations experiencing larger coverage gains under the ACA, we found no evidence that employment, hours worked, or earnings fell relative to workers in occupations that had little change in coverage rates over the same period. Moreover, ESI offers remained stable, even among workers in firms likely subject to the employer mandate. Overall, we found that predictions that the coverage provisions and mandates of the ACA would lead to adverse labor market effects did not materialize.

Advancing Diabetes-Related Equity Through Diabetes Self-Management Education and Training: Existing Coverage Requirements and Considerations for Increased Participation.

America is in the grips of a diabetes epidemic. Underserved communities disproportionately bear the burden of diabetes and associated harms. Diabetes self-management education and training (DSME/T) may help address the epidemic. By empowering patients to manage their diabetes, DSME/T improves health outcomes and reduces medical expenditures. However, participation in DSME/T remains low. Insurance coverage offers 1 approach for increasing participation in DSME/T. The impact of DSME/T insurance coverage on advancing diabetes-related health equity depends on which types of insurers must cover DSME/T and the characteristics of such coverage. We conducted a legal survey of DSME/T coverage requirements for private insurers, Medicaid programs, and Medicare, finding that substantial differences exist. Although 43 states require that private insurers cover DSME/T, only 30 states require such coverage for most or all Medicaid beneficiaries. Public health professionals and decision makers may find this analysis helpful in understanding and evaluating patterns and gaps in DSME/T coverage.

Reduction in inequalities in health insurance coverage and healthcare utilization among older adults in the Philippines after mandatory national health insurance coverage: trend analysis for 2003-2017.

BACKGROUND: Health policies in the Philippines have evolved in response to increasing health demands of older adults. However, there is a lack of research on equity among the ageing population in low-middle income countries. The objective of this study was to identify the trends in National Health Insurance Program (NHIP) coverage and healthcare utilization among older adults in the Philippines for the period from 2003 to 2017, during which NHIP expansion policies were implemented, focusing on reductions in socio-economic inequalities. METHODS: A literature search of policies for older adults and an analysis of four Philippine National Demographic and Health Surveys (2003, 2008, 2013, and 2017) with data from 25,217 older adults who were 60 years or older were performed. The major outcome variables were NHIP coverage, self-reported illness, outpatient healthcare utilization, and inpatient healthcare utilization. Inequalities in NHIP coverage and healthcare utilization according to wealth were evaluated by calculating the concentration index for individual years, followed by a regression-based decomposition analysis. RESULTS: NHIP coverage among older adults increased from 9.4 (2003) to 87.6% (2017). Although inequalities according to wealth quintile were observed in all four surveys (all P < 0.001), the concentration index declined from 0.3000 (2003) to 0.0247 (2017), showing reduced inequalities in NHIP coverage over time as observed for self-reported illness and healthcare utilization. NHIP coverage expansion for older adults in 2014 enabled equal opportunity for access to healthcare. CONCLUSION: The passage of mandatory NHIP coverage for older Filipino adults in 2014 was followed by a reduction in inequality in NHIP coverage and healthcare utilization according to wealth.

Disability-Related Disparities in Access to Health Care Before (2008-2010) and After (2015-2017) the Affordable Care Act.

Objectives. To explore the effect of the Affordable Care Act (ACA) on disparities in access to health care based on disability status, as well as age, income, race, and ethnicity. Methods. In this study, I used logistic regression to analyze nationally representative data from 128 000 respondents to the US National Health Interview Survey from 2008 to 2010 and 2015 to 2017. Outcome variables were uninsurance over the previous 12 months, delayed or forgone health care for reasons of cost, and having a regular provider at a doctor's office or health clinic. Results. Over the period when the ACA was implemented, large existing disparities in access to health care were reduced for people with certain types of disabilities, young adults aged 19 to 25 years, and low-income families. Conclusions. The ACA improved overall access to health care and reduced some disparities, but substantial disparities persist. Disability status remains associated with much greater risk of delayed or forgone care, and mental health disability is associated with greater likelihood of uninsurance. Public Health Implications. The ACA partially achieved its goals and must not be weakened or rolled back. Further policy efforts are needed to address the remaining disparities.

The Affordable Care Act: Long-Term Financial Impact on a Level I Trauma Center.

BACKGROUND: Prior studies of the impact of the Affordable Care Act on reimbursement for inpatient trauma care do not include disproportionate share hospital (DSH) funding. Because trauma centers and other safety-net hospitals are sensitive to any changes in financial support, it is essential to include DSH funding in evaluating overall reimbursement. This study analyzes the long-term financial trends, including DSH, of a level I trauma center in Ohio, a state that expanded Medicaid. METHODS: Charges, reimbursement, sources of insurance coverage, Injury Severity Scores, and DSH funding for the trauma patient population of an Ohio American College of Surgeons level 1 trauma center were studied from 2012 to 2017. Data were collected from Transition Systems, Inc. RESULTS: During 2012-2017, self-pay patient cases decreased from 15.0% to 4.1% and commercial insurance patients decreased from 34.2% to 27.6%. The percentage of Medicaid patients increased from 15.5% to 27.1%; however, Medicaid reimbursement average per case declined from $17,779 in 2012 to $10,115 in 2017 (a decline of 43.1%). Self-pay charges decreased from $22.0 million to $6.7 million. Total DSH funding, compensation given to hospitals that disproportionately treat underserved populations, decreased 17.4%. CONCLUSIONS: Self-pay charges and self-pay patients decreased dramatically; Medicaid patients and charges increased substantially in the years after the implementation of the Affordable Care Act at our trauma center. However, there was a decrease in commercial insurance, which had the highest reimbursement for our hospital, and a significant decline in DSH, a critical supplemental source of funding for safety-net hospitals.

Evaluating Canadians' Values for Drug Coverage Decision Making.

BACKGROUND: Decision makers are facing growing challenges in prioritizing drugs for reimbursement because of soaring drug costs and increasing pressures on financial resources. In addition to cost and effectiveness, payers are using other values to dictate which drugs are prioritized for funding, yet there are limited data on the Canadian public's priorities. OBJECTIVES: To measure the relative societal importance of values considered most relevant in informing drug reimbursement decisions in a representative sample of Canadians. METHODS: An online survey of 2539 Canadians aged 19 years and older was performed in which 13 values used in drug funding prioritization were ranked and then weighted using an analytic hierarchy process. RESULTS: Canadians value safe and efficacious drugs that have certainty of evidence. The values ranked in the top 5 by most of our subjects were potential effect on quality of life (65.4%), severity of the disease (62.6%), ability of drug to work (61.1%), safety (60.5%), and potential to extend life (49.4%). Values related to patient or disease characteristics such as rarity, socioeconomic status, and health and lifestyle choices held the lowest rankings and weights. CONCLUSIONS: Canadians value, above all, treatment-related factors (eg, efficacy and safety) and disease-related factors (eg, severity and equity). Decision makers are currently using additional justifications to prioritize drugs for reimbursement, such as rarity and unmet need, which were not found to be highly valued by Canadians. Decision makers should integrate the public's values into a Canadian reimbursement framework for prioritization of drugs competing for limited funds.

The Ecology of Medical Care Before and After the Affordable Care Act: Trends From 2002 to 2016.

BACKGROUND: The initial ecology of medical care study was published in 1961, offering a framework by which to investigate individuals' contact with the medical system. We studied changes in the framework around the implementation of the Patient Protection and Affordable Care Act (ACA) within longer-term trends. METHODS: The 2002-2016 Medical Expenditure Panel Survey was used to determine rates of visit/contact per 1,000 individuals per month for physicians, primary care physicians, specialty physicians, emergency departments, inpatient hospitalizations, dental visits, and home health visits for the overall population and by age group, poverty category, health status, and race/ethnicity. Adjusted Wald tests were used to investigate differences between the pre-ACA (2012-2013) and post-ACA (2014-2015) periods. Multivariable linear regression was used to determine trends over the study period (2002-2016). RESULTS: The survey included 525,804 person-years. The uninsured rate decreased from 12.8% (95% CI, 12.0%-13.7%) in 2013 to 7.6% (95% CI, 7.0%-8.3%) in 2016. From 2002 to 2016, the numbers of individuals in a month who had contact with primary care physicians, dental care, and inpatient hospitalizations decreased. Primary care physician contact decreased most among the elderly and those reporting fair/poor health. After ACA implementation, few significant changes were identified in the overall population or by age, poverty category, race/ethnicity, or health status. CONCLUSIONS: The medical ecology framework was not notably altered 2 years after implementation of the ACA. The long-term decrease in primary care contact does not appear to have been interrupted after implementation of the ACA, was observed across income and age categories, and was most evident among the elderly and individuals reporting fair/poor health.

National declines in the percentages of uninsured among adults aged 18-64 years with active epilepsy, 2010 and 2013 to 2015 and 2017-U.S. National Health Interview Survey.

Epilepsy is more common among children and adults living in households at lowest incomes. Like those living with any complex chronic condition, people with epilepsy need quality healthcare to improve their health and social outcomes. The purpose of this study was to use the latest national data to provide updated estimates of the percentages of adults aged 18-64 years with active epilepsy who were uninsured in 2010, 2013, 2015, and 2017 and to examine changes in health insurance coverage during these years. We analyzed nationally representative samples of adults (aged 18-64 years) from the 2010, 2013, 2015, and 2017 National Health Interview Survey (NHIS). We used a validated epilepsy surveillance case definition to classify adults as having active epilepsy during 2010 and 2013 (n = 507) and during 2015 and 2017 (n = 582). We used the NHIS recode variables available in each year that account for a series of questions posed to respondents to confirm coverage and that ultimately classify respondents with different healthcare coverage types. Overall, the percentage of uninsured adults among respondents aged 18-64 years with active epilepsy decreased by more than half (59%), from 17.7% (95% confidence interval [CI] = 13.6%-22.7%) in 2010 and 2013 to 7.3% (95% CI = 4.8%-10.7%) in 2015 and 2017. The decrease in the percentage of uninsured adults with active epilepsy after 2010 and 2013 was balanced by a similar increase in public insurance coverage and private insurance coverage in 2015 and 2017. Epilepsy stakeholders can ensure that all uninsured adults with epilepsy obtain access to health insurance coverage. National Health Interview Survey data on epilepsy, when available, can be used to monitor trends in insurance status in the new decade.

Impact of Insurance Status on Stage, Treatment, and Survival in Patients with Colorectal Cancer: A Population-Based Analysis.

BACKGROUND This study aimed to analyze data from the Surveillance, Epidemiology, and End Results (SEER) program to identify patients with colorectal cancer (CRC) who had specific insurance details and the effects of stage at diagnosis, definitive treatment, and survival outcome with insurance status. MATERIAL AND METHODS Between 2007 and 2009, SEER database analysis identified 54,232 patients with CRC. Logistic models examined the associations between insurance status and disease stage and definitive treatment. Kaplan-Meier analysis, the Cox model, and the Fine and Gray model were used to compare the tumor cause-specific survival (TCSS) for patients with different insurance status. RESULTS Insured patients were more likely to have earlier tumor stage at diagnosis when compared with patients receiving Medicaid (adjusted OR, 1.318; 95% CI, 1.249-1.391; P<0.001) and when compared with uninsured patients (adjusted OR, 1.479; 95% CI, 1.352-1.618; P<0.001). Insured patients were significantly more likely to undergo definitive treatment when compared with patients receiving Medicaid (adjusted OR, 0.591; 95% CI, 0.470-0.742; P<0.001) and compared with patients who were uninsured (adjusted OR, 0.404; 95% CI, 0.282-0.579; P<0.001). Insured patients had a significantly increased TCSS when compared with patients receiving Medicaid (HR, 1.298; 95% CI, 1.236-1.363; P<0.001) and compared with patients who were uninsured (HR 1.195, 95% CI, 1.100-1.297; P<0.001). CONCLUSIONS Insurance status was a significant factor that determined early diagnosis, definitive treatment, and clinical outcome and was an independent factor for TCSS in patients with CRC.