The Depression Care for People with Cancer program (DCPC) is a cost-effective depression care model for UK patients with cancer. However, DCPC's cost-effectiveness in the United States is unknown, particularly for patients with prostate cancer in the United States. This study evaluates the health and economic impact of providing DCPC to patients with prostate cancer. DCPC was compared with usual care in a mathematical model that simulates depression and its outcomes in a hypothetical cohort of US patients with prostate cancer. DCPC was modeled as a sequential combination of universal depression screening, post-screening evaluations, and first-line combination therapy. Primary outcomes were lifetime direct costs of depression care, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios. Secondary outcomes included life expectancy, number of depression-free months and lifetime depressive episodes, duration of depressive episodes, cumulative incidence of depression, lifetime depression diagnoses/misdiagnoses, and the cumulative incidence of maintenance therapy for depression. Sensitivity analyses were used to examine uncertainty. In the base case, DCPC dominated usual care by offering 0.11 more QALYs for $2500 less per patient (from averted misdiagnoses). DCPC also offered 5 extra depression-free months, shorter depressive episodes, and a lower chance of maintenance therapy. DCPC's trade-offs were a higher cumulative incidence of depression and more lifetime depressive episodes. Life expectancy was identical under usual care and DCPC. Sensitivity analyses indicate that DCPC was almost always preferable to usual care. Compared with usual care, DCPC may offer more value to US patients with prostate cancer. DCPC should be considered for inclusion in prostate cancer survivorship care guidelines.Compared with usual care, DCPC may offer more value to US patients with prostate cancer. DCPC should be considered for inclusion in prostate cancer survivorship care guidelines. Metamodeling can address computational challenges within decision-analytic modeling studies evaluating many strategies. This article illustrates the value of metamodeling for evaluating colorectal cancer screening strategies while accounting for colonoscopy capacity constraints. In a traditional approach, the best screening strategy was identified from a limited subset of strategies evaluated with the validated Adenoma and Serrated pathway to Colorectal CAncer model. In a metamodeling approach, metamodels were fitted to this limited subset to evaluate all potentially plausible strategies and determine the best overall screening strategy. Approaches were compared based on the best screening strategy in life-years gained compared with no screening. Metamodel runtime and accuracy was assessed. The metamodeling approach evaluated >40 000 strategies in <1 minute with high accuracy after 1 adaptive sampling step (mean absolute error 0.0002 life-years) using 300 samples in total (generation time 8 days). strategies compared to a traditional approach. Nevertheless, metamodel validation and identifying extrapolation beyond the support of the original decision-analytic model are critical to the interpretation of results. The screening strategies identified with metamodeling support ongoing discussions on decreasing the starting age of colorectal cancer screening. Little is known about relationships between opioid- and gabapentinoid-use patterns and healthcare expenditures that may be affected by pain management and risk of adverse outcomes. This study examined the association between patients' opioid and gabapentinoid prescription filling/refilling trajectories and direct medical expenditures in US Medicare. This cross-sectional study included a 5% national sample (2011-2016) of fee-for-service beneficiaries with fibromyalgia, low back pain, neuropathy, or osteoarthritis newly initiating opioids or gabapentinoids. Using group-based multitrajectory modeling, this study identified patients' distinct opioid and gabapentinoid (OPI-GABA) dose and duration patterns, based on standardized daily doses, within a year of initiating opioids and/or gabapentinoids. Concurrent direct medical expenditures within the same year were estimated using inverse probability of treatment weighted multivariable generalized linear regression, adjusting for sociodemographic and health statutent opioid-only users and all concurrent OPI-GABA users were associated with higher healthcare expenditures compared to opioid-only discontinuers.Dose and duration patterns of concurrent OPI-GABA varied substantially among fee-for-service Medicare beneficiaries. Consistent opioid-only users and all concurrent OPI-GABA users were associated with higher healthcare expenditures compared to opioid-only discontinuers. To measure access to opioid treatment programs (OTPs) and office-based buprenorphine treatment (OBBTs) at the smallest geographic unit for which the Census Bureau publishes demographic and socioeconomic data (ie, block group) and to explore disparities in access to treatment across the rural-urban and area deprivation continua across the United States. Access to OTPs and OBBTs at the block group in 2019 was quantified using an innovative 2-step floating catchment area technique that accounts for the supply of treatment facilities relative to the population size, proximity of facilities relative to the location of population in block groups, and time as a barrier within catchments. Block groups were stratified into tertiles based on the rural-urban continuum codes (metropolitan, micropolitan, small town, or rural) and area deprivation index (least-deprived, middle-deprived, most-deprived). The Integrated Nested Laplace Approximation approach was used for statistical analysis. Across the United States, 3329 block groups corresponding to 2 915 949 adults lacked access to OTPs within a 2-hour drive of their community and 130 block groups corresponding to 86 605 adults did not have access to OBBTs. check details Disparities in access to treatment were observed across the urban-rural and area deprivation continua including (1) lowest mean access score to OBBTs were found among most-deprived small towns, and (2) lower mean access score to OTPs were found among micropolitan and small towns. The results of this study revealed disparities in access to medication-assisted treatment. The findings call for creative initiatives and local and regional policies to develop to mitigate access problems.The results of this study revealed disparities in access to medication-assisted treatment. The findings call for creative initiatives and local and regional policies to develop to mitigate access problems.