Gasto de bolsillo en salud en la familia con diabetes-hipertensión durante la pandemia del covid-19 / Out-of-pocket health spending in the family with diabetes-hypertension during the covid-19 pandemic

Determinar el gasto de bolsillo en salud en las familias con diabetes mellitus y/o hipertensión arterial y el porcentaje del ingreso familiar durante la pandemia del Covid-19. Estudio de gasto de bolsillo en salud que incluyó muestreo consecutivo de 268 familias de México. El ingreso trimestral familiar se definió como la suma de ingresos de cada uno de los integrantes de la familia, el gasto en salud se definió como el total de erogaciones que tuvo la familia para cubrir los diferentes servicios de salud, y porcentaje de gasto en salud se definió como la relación del gasto total trimestral y el gasto corriente del hogar, valores expresados en pesos mexicanos. El promedio trimestral del gasto de bolsillo en salud en la familia con diabetes mellitus y/o hipertensión arterial en la dimensión consulta fue $975,82 y en la dimensión medicamentos $1,371.22; el gasto promedio total trimestral fue $3,133.08. El ingreso trimestral de la familia después de la pandemia del covid-19 fue $85,348.86 lo que representa 5,93% menos del ingreso trimestral antes de la pandemia. El gasto trimestral en salud fue $3,133.08, lo cual corresponde a 3,45% y 3,67% del ingreso trimestral familiar antes y después de la pandemia del Covid-19 respectivamente (AU)

Determine out-of-pocket health spending in families with diabetes mellitus and/or high blood pressure and the percentage of family income during the Covid-19 pandemic. Study of out-of-pocket health spending that included consecutive sampling of 268 families in Mexico. The quarterly family income was defined as the sum of income of each of the family members, health spending was defined as the total expenses that the family had to cover the different health services, and percentage of health spending. It was defined as the relationship between total quarterly expenditure and current household expenditure, values expressed in Mexican pesos. The quarterly average of out-of-pocket health expenditure in the family with diabetes mellitus and/or arterial hypertension in the consultation dimension was $975.82 and in the medication dimension $1,371.22; The average total quarterly expense was $3,133.08. The family's quarterly income after the covid-19 pandemic was $85,348.86, which represents 5.93% less than the quarterly income before the pandemic. The quarterly health expenditure was $3,133.08, which corresponds to 3.45% and 3.67% of the family's quarterly income before and after the Covid-19 pandemic respectively (AU)

Out-of-Pocket Expenses in Households of People Living with Obesity in France.

BACKGROUND/OBJECTIVES: Overweight and obesity result in a substantial economic burden in both low- and high-income countries. Moreover, this burden is often underestimated because it only partially accounts for unreimbursed out-of-pocket expenses (OOPE) related to obesity. The objective of our study was not only to evaluate OOPE incurred by people with obesity in relation to their disease with respect to direct medical expenditures and direct non-medical expenditures but also the proportion of people living with obesity who have forgone obesity-related healthcare due to the costs of such care. METHODS: An observational descriptive survey was conducted among people with class II/III obesity attending six obesity treatment centers in France. Volunteer adult participants completed a written/phone questionnaire on their related expenditures over the last 6 months for current expenditures and over the last 5 years for occasional ones. The costs were expressed in 2022 EUR. RESULTS: 299 people participated (age: 46 years [SD: 13.9], women: 72%, BMI ≥40 kg/m2: 62% and 48% with comorbidities). 65% had a professional activity. 83% declared that they had OOPE related to obesity representing annually EUR 2027/individual on average (5% of the household revenue), including weight loss and nutritional products, vitamins, meal programs, gym memberships, psychologists, but mainly adapted clothing, additional travel costs, and others. 15% of the respondents had to modify their professional activity due to obesity and 15% forwent some medical care in the last 12 months. CONCLUSIONS: OOPE is a significant part of the economic burden of obesity. Despite some limitations due to the specificities of the participants and because some costs may be more related to social activities affected by obesity than to healthcare, it seems important to consider these expenditures in cost estimates for obesity.

Effects of the Million Hearts Model on Myocardial Infarctions, Strokes, and Medicare Spending: A Randomized Clinical Trial.

Importance: The Million Hearts Model paid health care organizations to assess and reduce cardiovascular disease (CVD) risk. Model effects on long-term outcomes are unknown. Objective: To estimate model effects on first-time myocardial infarctions (MIs) and strokes and Medicare spending over a period up to 5 years. Design, Setting, and Participants: This pragmatic cluster-randomized trial ran from 2017 to 2021, with organizations assigned to a model intervention group or standard care control group. Randomized organizations included 516 US-based primary care and specialty practices, health centers, and hospital-based outpatient clinics participating voluntarily. Of these organizations, 342 entered patients into the study population, which included Medicare fee-for-service beneficiaries aged 40 to 79 years with no previous MI or stroke and with high or medium CVD risk (a 10-year predicted probability of MI or stroke [ie, CVD risk score] ≥15%) in 2017-2018. Intervention: Organizations agreed to perform guideline-concordant care, including routine CVD risk assessment and cardiovascular care management for high-risk patients. The Centers for Medicare & Medicaid Services paid organizations to calculate CVD risk scores for Medicare fee-for-service beneficiaries. CMS further rewarded organizations for reducing risk among high-risk beneficiaries (CVD risk score ≥30%). Main Outcomes and Measures: Outcomes included first-time CVD events (MIs, strokes, and transient ischemic attacks) identified in Medicare claims, combined first-time CVD events from claims and CVD deaths (coronary heart disease or cerebrovascular disease deaths) identified using the National Death Index, and Medicare Parts A and B spending for CVD events and overall. Outcomes were measured through 2021. Results: High- and medium-risk model intervention beneficiaries (n = 130 578) and standard care control beneficiaries (n = 88 286) were similar in age (median age, 72-73 y), sex (58%-59% men), race (7%-8% Black), and baseline CVD risk score (median, 24%). The probability of a first-time CVD event within 5 years was 0.3 percentage points lower for intervention beneficiaries than control beneficiaries (3.3% relative effect; adjusted hazard ratio [HR], 0.97 [90% CI, 0.93-1.00]; P = .09). The 5-year probability of combined first-time CVD events and CVD deaths was 0.4 percentage points lower in the intervention group (4.2% relative effect; HR, 0.96 [90% CI, 0.93-0.99]; P = .02). Medicare spending for CVD events was similar between the groups (effect estimate, -$1.83 per beneficiary per month [90% CI, -$3.97 to -$0.30]; P = .16), as was overall Medicare spending including model payments (effect estimate, $2.11 per beneficiary per month [90% CI, -$16.66 to $20.89]; P = .85). Conclusions and Relevance: The Million Hearts Model, which encouraged and paid for CVD risk assessment and reduction, reduced first-time MIs and strokes. Results support guidelines to use risk scores for CVD primary prevention. Trial Registration: ClinicalTrials.gov Identifier: NCT04047147.

Insulin Fills by Medicare Enrollees and Out-of-Pocket Caps Under the Inflation Reduction Act.

This study uses data from IQVIA's National Prescription Audit to assess the association of the Inflation Reduction Act's cap on cost sharing with insulin fills by Medicare beneficiaries.

Model-based estimation of the health care expenditure and out-of-pocket payment for assisted reproductive technology: A retrospective linkage study using the Japanese national ART registry.

AIM: From April 2022, the Japanese government funding system for assisted reproductive technology (ART) has shifted from government subsidies to universal health insurance. To date, studies estimating the health care expenditure for ART are scarce. We estimated health care expenditures for ART cycles and compared the proportion of patients' out-of-pocket payment by ovarian stimulation protocols under the Japanese government subsidy system. METHODS: We linked payment information for government subsidies in Saitama Prefecture during 2016 and 2017 with the Japanese ART registry. Health care expenditures for all treatment cycles in Japan during 2017 among women aged <43 years (n = 369 757) were estimated using a generalized linear model. RESULTS: We linked 6269 subsidy applications to the Japanese ART registry. The average treatment fee for a fresh cycle was 376 434 JPY (standard deviation = 159 581). However, significant variation was observed across ovarian stimulation protocols. The estimated health care expenditure for ART during 2017 was 101 278 629 888 JPY (920 714 817 USD), leading to a 0.24% increase in the national health care expenditure for fiscal year 2017. Fresh cycles accounted for 70% of the expenditure. The proportion of the average patient out-of-pocket payment for one treatment cycle was smaller for natural (0%) and mild ovarian stimulation using clomiphene citrate (4.5%-20.7%) than those of conventional stimulation (30.3%-32.4%). CONCLUSIONS: Health insurance coverage for ART would increase national health care expenditure by 0.24%. Under the subsidy system, the proportion of the average patient out-of-pocket payment was smaller for natural and mild ovarian stimulation than conventional stimulations.

The effects of cash transfers on adult and child mortality in low- and middle-income countries.

Poverty is an important social determinant of health that is associated with increased risk of death1-5. Cash transfer programmes provide non-contributory monetary transfers to individuals or households, with or without behavioural conditions such as children's school attendance6,7. Over recent decades, cash transfer programmes have emerged as central components of poverty reduction strategies of many governments in low- and middle-income countries6,7. The effects of these programmes on adult and child mortality rates remains an important gap in the literature, however, with existing evidence limited to a few specific conditional cash transfer programmes, primarily in Latin America8-14. Here we evaluated the effects of large-scale, government-led cash transfer programmes on all-cause adult and child mortality using individual-level longitudinal mortality datasets from many low- and middle-income countries. We found that cash transfer programmes were associated with significant reductions in mortality among children under five years of age and women. Secondary heterogeneity analyses suggested similar effects for conditional and unconditional programmes, and larger effects for programmes that covered a larger share of the population and provided larger transfer amounts, and in countries with lower health expenditures, lower baseline life expectancy, and higher perceived regulatory quality. Our findings support the use of anti-poverty programmes such as cash transfers, which many countries have introduced or expanded during the COVID-19 pandemic, to improve population health.

Quantifying the interconnectedness between poverty, health access, and rabies mortality.

The global 2030 goal set by the World Organization for Animal Health (WOAH), the World Health Organization (WHO), and the Food and Agriculture Organization (FAO), to eliminate dog-mediated human rabies deaths, has undeniably been a catalyst for many countries to re-assess existing dog rabies control programmes. Additionally, the 2030 agenda for Sustainable Development includes a blueprint for global targets which will benefit both people and secure the health of the planet. Rabies is acknowledged as a disease of poverty, but the connections between economic development and rabies control and elimination are poorly quantified yet, critical evidence for planning and prioritisation. We have developed multiple generalised linear models, to model the relationship between health care access, poverty, and death rate as a result of rabies, with separate indicators that can be used at country-level; total Gross Domestic Product (GDP), and current health expenditure as a percentage of the total gross domestic product (% GDP) as an indicator of economic growth; and a metric of poverty assessing the extent and intensity of deprivation experienced at the individual level (Multidimensional Poverty Index, MPI). Notably there was no detectable relationship between GDP or current health expenditure (% GDP) and death rate from rabies. However, MPI showed statistically significant relationships with per capita rabies deaths and the probability of receiving lifesaving post exposure prophylaxis. We highlight that those most at risk of not being treated, and dying due to rabies, live in communities experiencing health care inequalities, readily measured through poverty indicators. These data demonstrate that economic growth alone, may not be enough to meet the 2030 goal. Indeed, other strategies such as targeting vulnerable populations and responsible pet ownership are also needed in addition to economic investment.

Evaluating the Influences of Health Expenditure, Energy Consumption, and Environmental Pollution on Life Expectancy in Asia.

This study examines the effects of health expenditure, energy consumption, CO2 emissions, population size, and income on health outcomes in 46 Asian nations between 1997 and 2019. Cross-sectional dependence (CSD) and slope heterogeneity (SH) tests are utilized due to the close linkages between Asian nations as a result of commerce, tourism, religion, and international agreements. The research uses unit root and cointegration tests of the second generation after validating CSD and SH issues. Due to the results of the CSD and SH tests, it is clear that conventional methods of estimation are inappropriate, so a new panel method, the inter autoregressive distributive lag (CS-ARDL) model, is used instead. In addition to CS-ARDL, the study's results were checked with a common correlated effects mean group (CCEMG) method and an augmented mean group (AMG) method. According to the CS-ARDL study, higher rates of energy use and healthcare spending lead to better health outcomes for Asian countries over the long run. CO2 emissions are shown to be harmful to human health, according to the study. The influence of a population's size on health outcomes is shown to be negative in the CS-ARDL and CCEMG, but favorable in the AMG. Only the AMG coefficient is significant. In most instances, the results of the AMG and CCEMG corroborate the results of the CS-ARDL. Among all the factors influencing life expectancy in Asian countries, healthcare spending is the most influential. Hence, to improve health outcomes, Asian countries need to take the required actions to boost health spending, energy consumption, and long-term economic growth. To achieve the best possible health outcomes, Asian countries should also reduce their CO2 emissions.

Racial Disparities in the Cost of Unplanned Hospitalizations after Breast Reconstruction.

BACKGROUND: Given the national attention to disparities in health care, understanding variation provided to minorities becomes increasingly important. This study will examine the effect of race on the rate and cost of unplanned hospitalizations after breast reconstruction procedures. METHODS: The authors performed an analysis comparing patients undergoing implant-based and autologous breast reconstruction in the Healthcare Cost and Utilization Project. The authors evaluated the rate of unplanned hospitalizations and associated expenditures among patients of different races. Multivariable analyses were performed to determine the association among race and readmissions and health care expenditures. RESULTS: The cohort included 17,042 patients. The rate of an unplanned visit was 5%. The rates of readmissions among black patients (6%) and Hispanic patients (7%) in this study are higher compared with white patients (5%). However, after controlling for patient-level characteristics, race was not an independent predictor of an unplanned visit. In our expenditure model, black patients [adjusted cost ratio, 1.35 (95% CI, 1.11 to 1.66)] and Hispanic patients [adjusted cost ratio, 1.34 (95% CI, 1.08 to 1.65)] experienced greater cost for their readmission compared with white patients. CONCLUSIONS: Although race is not an independent predictor of an unplanned hospital visit after surgery, racial minorities bear a higher cost burden after controlling for insurance status, further stimulating health care disparities. Adjusted payment models may be a strategy to reduce disparities in surgical care. In addition, direct and indirect measures of disparities should be used when examining health care disparities to identify consequences of inequities more robustly.

Medical Expenditures Associated with Attention-Deficit/Hyperactivity Disorder Among Adults in the United States by Age, 2015-2019.

BACKGROUND: Attention-deficit hyperactivity disorder is a common disorder that affects both children and adults. However, for adults, little is known about ADHD-attributable medical expenditures. OBJECTIVE: To estimate the medical expenditures associated with ADHD, stratified by age, in the US adult population. DESIGN: Using a two-part model, we analyzed data from Medical Expenditure Panel Survey for 2015 to 2019. The first part of the model predicts the probability that individuals incurred any medical costs during the calendar year using a logit model. The second part of the model estimates the medical expenditures for individuals who incurred any medical expenses in the calendar year using a generalized linear model. Covariates included age, sex, race/ethnicity, geographic region, Charlson comorbidity index, insurance, asthma, anxiety, and mood disorders. PARTICIPANTS: Adults (18 +) who participated in the Medical Expenditure Panel Survey from 2015 to 2019 (N = 83,776). MAIN MEASURES: Overall and service specific direct ADHD-attributable medical expenditures. KEY RESULTS: A total of 1206 participants (1.44%) were classified as having ADHD. The estimated incremental costs of ADHD in adults were $2591.06 per person, amounting to $8.29 billion nationally. Significant adjusted incremental costs were prescription medication ($1347.06; 95% CI: $990.69-$1625.93), which accounted for the largest portion of total costs, and office-based visits ($724.86; 95% CI: $177.75-$1528.62). The adjusted incremental costs for outpatient visits, inpatient visits, emergency room visits, and home health visits were not significantly different. Among older adults (31 +), the incremental cost of ADHD was $2623.48, while in young adults (18-30), the incremental cost was $1856.66. CONCLUSIONS: The average medical expenditures for adults with ADHD in the US were substantially higher than those without ADHD and the incremental costs were higher in older adults (31 +) than younger adults (18-30). Future research is needed to understand the increasing trend in ADHD attributable cost.

Previsões do número de cirurgias suspensas utilizando o software Power BI® em um hospital universitário / Predictions of the number of suspended surgeries using software Power BI® in a university hospital / Predicciones del número de cirugías suspendidas utilizando software Power BI® en un hospital universitario

Objetivo: analisar as cirurgias suspensas, realizando previsões futuras de três meses, a partir de outubro de 2022, através de um gráfico de linhas utilizando o software Power BI®. Método: se utilizou a técnica de médias moveis ponderada, alisamento exponencial simples, utilizando a ferramenta gráfico de linhas do Power BI®, com intervalo de confiança de 95% e previsões de três meses. Resultados: os resultados demostraram que existem diferentes etapas para construir previsões e alguns pré-requisitos devem ser preenchidos, foram encontradas as seguintes previsões com seus respectivos intervalos de confiança novembro 134(97,172), dezembro 141(102,180), janeiro 147(106.188). Conclusão: a utilização de previsões pode ser uma ferramenta útil para a tomada de decisão, prever problemas e sempre necessário na gestão de um hospital, podendo até suprimir gastos se antecipando a uma variedade de problemas.

Objective: to analyze the suspended surgeries, making future predictions of three months, starting in October 2022, through a line graph using the Power BI software. Method: we used the technique of weighted moving averages, simple exponential smoothing, using the Power BI® line graph tool, with a confidence interval of 95% and predictions of three months. Results: the results showed that there are different steps to construct predictions and some prerequisites must be fulfilled, the following predictions were found with their respective confidence intervals: November 134 (97,172), December 141 (102,180), January 147 (106,188). Conclusion: the use of forecasts can be a useful tool for decision making, predicting problems and always necessary in the management of a hospital, and can even suppress expenses in anticipation of a variety of problems.

Objetivos:analizar las cirugías suspendidas, haciendo predicciones futuras de tres meses, a partir de octubre de 2022, a través de un gráfico lineal utilizando el software Power BI®. Método: se utilizó la técnica de medias móviles ponderadas, suavizado exponencial simple, utilizando la herramienta de gráfico de líneas de Power BI®, con un intervalo de confianza del 95% y predicciones de tres meses. Resultados: los resultados mostraron que existen diferentes pasos para construir predicciones y se deben cumplir algunos requisitos previos, se encontraron las siguientes predicciones con sus respectivos intervalos de confianza: noviembre 134 (97,172), diciembre 141 (102,180), enero 147 (106,188). Conclusión: el uso de pronósticos puede ser una herramienta útil para la toma de decisiones, predicción de problemas y siempre necesaria en la gestión de un hospital, e incluso puede suprimir gastos en previsión de una variedad de problemas.

Prescription Drug Spending in Fee-for-Service Medicare, 2008-2019.

Importance: Prescription drug spending is a topic of increased interest to the public and policymakers. However, prior assessments have been limited by focusing on retail spending (Part D-covered drugs), omitting clinician-administered (Part B-covered) drug spending, or focusing on all fee-for-service Medicare beneficiaries, regardless of their enrollment into prescription drug coverage. Objective: To estimate the proportion of health care spending contributed by prescription drugs and to assess spending for retail and clinician-administered prescriptions. Design, Setting, and Participants: Descriptive, serial, cross-sectional analysis of a 20% random sample of fee-for-service Medicare beneficiaries in the United States from 2008 to 2019 who were continuously enrolled in Parts A (hospital), B (medical), and D (prescription drug) benefits, and not in Medicare Advantage. Exposure: Calendar year. Main Outcomes and Measures: Net spending on retail (Part D-covered) and clinician-administered (Part B-covered) prescription drugs; prescription drug spending (spending on Part B-covered and Part D-covered drugs) as a percentage of total per-capita health care spending. Measures were adjusted for inflation and for postsale rebates (for Part D-covered drugs). Results: There were 3 201 284 beneficiaries enrolled in Parts A, B, and D in 2008 and 4 502 718 in 2019. In 2019, beneficiaries had a mean (SD) age of 71.7 (12.0) years, documented sex was female for 57.7%, and 69.5% had no low-income subsidies. Total per-capita spending was $16 345 in 2008 and $20 117 in 2019. Comparing 2008 with 2019, per-capita Part A spending was $7106 (95% CI, $7084-$7128) vs $7120 (95% CI, $7098-$7141), Part B drug spending was $720 (95% CI, $713-$728) vs $1641 (95% CI, $1629-$1653), Part B nondrug spending was $5113 (95% CI, $5105-$5122) vs $6702 (95% CI, $6692-$6712), and Part D net spending was $3122 (95% CI, $3117-$3127) vs $3477 (95% CI, $3466-$3489). The proportion of total annual spending attributed to prescription drugs increased from 24.0% in 2008 to 27.2% in 2019, net of estimated rebates and discounts. Conclusions and Relevance: In 2019, spending on prescription drugs represented approximately 27% of total spending among fee-for-service Medicare beneficiaries enrolled in Part D, even after accounting for postsale rebates.

Number-dependent association of potentially inappropriate medications with clinical outcomes and expenditures among community-dwelling older adults: A population-based cohort study.

AIMS: The aim of this study was to investigate the prevalence of potentially inappropriate medication (PIM) prescribing and its number-dependent association (PIM = 1, 2, ≥3) with all-cause hospitalizations, emergency department (ED) visits, and medication expenditures in Beijing, China. METHODS: A retrospective cohort analysis was conducted to analyse PIM prescribing in community-dwelling older adults aged ≥65 years within the Beijing Municipal Medical Insurance Database (data from July to September 2016). The prevalence of PIMs was estimated based on the 2015 Beers Criteria. Logistic models were utilized to investigate the associations between PIM use and all-cause hospitalizations and ED visits. Generalized linear models with the logic link and gamma distribution were used to analyse associations between PIM use and medication expenditures. RESULTS: Among the 506 214 older adults, the prevalence of PIM was 38.07%. After adjusting for covariables, prescribing two and three or more PIMs was associated with increased risks of hospitalizations (PIM = 2: odds ratio [OR] 1.34, 95% confidence interval [CI]: 1.22-1.47; PIM ≥ 3: OR = 1.47, 95% CI: 1.32-1.63) and ED visits (PIM = 2: OR = 1.29, 95% CI 1.12-1.48; PIM ≥ 3: OR = 1.23, 95% CI: 1.04-1.44). Exposures to two and three or more PIMs were associated with higher medication expenditures for inpatient visits (PIM = 2: incidence rate ratio [IRR] = 1.08, 95% CI 1.01-1.16; PIM ≥ 3: IRR = 1.18, 95% CI: 1.08-1.28). Vasodilators were the most frequent PIM prescribing group among patients who were hospitalized or had to visit the ED. CONCLUSIONS: PIMs were prescribed at a high rate among community-dwelling older adults in Beijing. Two or more PIMs were associated with increased risks of hospitalizations, ED visits, and increased inpatient medication expenditures. Effective interventions are needed to target unnecessary and inappropriate medications in older adults.

Out-of-pocket payments for complementary medicine following cancer and the effect on financial outcomes in middle-income countries in southeast Asia: a prospective cohort study.

BACKGROUND: Complementary medicine, which refers to therapies that are not part of conventional medicine, comprising both evidence-based and non-evidence-based interventions, is increasingly used following a diagnosis of cancer. We aimed to investigate out-of-pocket spending patterns on complementary medicine and its association with adverse financial outcomes following cancer in middle-income countries in southeast Asia. METHODS: In this prospective cohort study, data on newly diagnosed patients with cancer were derived from the ASEAN Costs in Oncology (ACTION) cohort study, a prospective longitudinal study in 47 centres located in eight countries in southeast Asia. The ACTION study measured household expenditures on complementary medicine in the immediate year after cancer diagnosis. Participants were given cost diaries at baseline to record illness-related payments that were directly incurred and not reimbursed by insurance over the 12-month period after study recruitment. We assessed incidence of financial catastrophe (out-of-pocket cancer-related costs ≥30% of annual household income), medical impoverishment (reduction in annual household income to below poverty line following subtraction of out-of-pocket cancer-related costs), and economic hardship (inability to make necessary household payments) at 1 year. FINDINGS: Between March, 2012, and September, 2013, 9513 participants were recruited into the ACTION cohort study, of whom 4754 (50·0%) participants were included in this analysis. Out-of-pocket expenditures on complementary medicine were reported by 1233 households. These payments constituted 8·6% of the annual total out-of-pocket health costs in lower-middle-income countries and 42·9% in upper-middle-income countries. Expenditures on complementary medicine significantly increased risks of financial catastrophe (adjusted odds ratio 1·52 [95% CI 1·23-1·88]) and medical impoverishment (1·75 [1·36-2·24]) at 12 months in upper-middle-income countries only. However, the risks were significantly higher for economically disadvantaged households, irrespective of country income group. INTERPRETATION: Integration of evidence-supported complementary therapies into mainstream cancer care, along with interventions to address use of non-evidence-based complementary medicine, might help alleviate any associated adverse financial impacts. FUNDING: None.

Healthcare utilization and costs among patients with chronic migraine, episodic migraine, and tension-type headache enrolled in commercial insurance plans.

OBJECTIVE: To quantify and compare healthcare utilization and costs for patients with chronic migraine (CM), episodic migraine (EM), and tension-type headache (TTH) enrolled in US commercial health plans. METHODS: This retrospective cohort study used the Optum Clinformatics® Data Mart database from January 2015 to December 2018. Adult patients with a diagnosis of EM, CM or TTH and at least 12 months of continuous enrollment before and after diagnosis were included. Inverse probability of treatment weighting was used to adjust for baseline differences among the three groups. Patient demographic and clinical characteristics at baseline, and healthcare utilization and costs during follow-up, were described and compared between the three groups. RESULTS: A total of 45,849 patients were included: 8955 with CM, 31,961 with EM, and 4933 with TTH. The total all-cause annual direct medical costs of patients with CM ($17,878) were 1.38 times higher (95% CI: 1.31-1.44) than those with EM ($12,986), and 2.26 times higher (95% CI: 2.08-2.47) than those with TTH ($7902). The annual migraine/TTH-related costs of patients with CM ($1869) were 4.19 times higher (95% CI: 3.92-4.48) than those with EM ($446), and 11.90 times (95% CI: 10.59-13.52) higher than those with TTH ($157). In the adjusted analyses, for all service categories (emergency department, inpatient, outpatient, and prescriptions), the expected costs in the migraine groups were higher than in the TTH group (all p < 0.001), while controlling for covariates. Main findings were consistent in both weighted and unweighted samples, and with both unadjusted and adjusted analyses. CONCLUSION: This study provides an updated assessment of healthcare utilization and expenditures for adult patients with primary headache disorders. Compared to TTH, migraine is associated with higher resource use and direct medical costs, especially for those with a chronic condition. Future studies are needed to understand the indirect medical costs (productivity loss) and humanistic burden (quality of life) between migraine and TTH.

Variation in Initiation, Engagement, and Retention on Medications for Opioid Use Disorder Based on Health Insurance Plan Design.

BACKGROUND: The association between cost-sharing and receipt of medication for opioid use disorder (MOUD) is unknown. METHODS: We constructed a cohort of 10,513 commercially insured individuals with a new diagnosis of opioid use disorder and information on insurance cost-sharing in a large national deidentified claims database. We examined 4 cost-sharing measures: (1) pharmacy deductible; (2) medical service deductible; (3) pharmacy medication copay; and (4) medical office copay. We measured MOUD (naltrexone, buprenorphine, or methadone) initiation (within 14 d of diagnosis), engagement (second receipt within 34 d of first), and 6-month retention (continuous receipt without 14-d gap). We used multivariable logistic regression to assess the association between cost-sharing and MOUD initiation, engagement, and retention. We calculated total out-of-pocket costs in the 30 days following MOUD initiation for each type of MOUD. RESULTS: Of 10,513 individuals with incident opioid use disorder, 1202 (11%) initiated MOUD, 742 (7%) engaged, and 253 (2%) were retained in MOUD at 6 months. A high ($1000+) medical deductible was associated with a lower odds of initiation compared with no deductible (odds ratio: 0.85, 95% confidence interval: 0.74-0.98). We found no significant associations between other cost-sharing measures for initiation, engagement, or retention. Median initial 30-day out-of-pocket costs ranged from $100 for methadone to $710 for extended-release naltrexone. CONCLUSIONS: Among insurance plan cost-sharing measures, only medical services deductible showed an association with decreased MOUD initiation. Policy and benefit design should consider ways to reduce cost barriers to initiation and retention in MOUD.