Contemporary pseudo-events: An analysis of the advertising in Wired magazine

The dot-corn and technology boom of the mid-to-late 1990s captured the imagination of the public in both the way they thought about and invested in the future. This study looks at the role the advertising of Wired magazine played in promoting the dot-com boom. Daniel Boorstin (1987) claims that pseudo-events, or events that are manufactured, set society\u27s expectations to levels that cannot be attained. This study examines 75 advertisements taken from issues of Wired published in 1995 and uses criteria outlined by Boorstin to determine if these advertisements are pseudo-events. Traits of the design of Wired magazine framed by Stewart Millar (1998) are used to examine the advertisements and relate them to the content of the magazine itself. This study found that the majority of the advertisements studied can be classified as a pseudo-event under Boorstin\u27s definition and that the advertisements did share design traits in common with the magazine as a whole. These findings support the argument that Wired both contained pseudo-events and acted as a pseudo-event, which helped to heighten society\u27s expectations during the mid-to-late 1990s

Lowering the Barriers to Medication Treatment for People with Opioid Use Disorder: Evidence for a Low-Threshold Approach

Overdose deaths have reached unprecedented levels in the U.S., despite effective medications to treat opioid use disorders (OUDs). Because the regulatory and administrative barriers to treatment are high, only about 11% of people with OUD receive effective medications, which include buprenorphine, methadone, and naltrexone. In response, clinicians and advocates have looked to a “low-threshold” approach that reduces the stigma surrounding effective medications and facilitates their use. This brief summarizes the barriers to treatment, the evidence on the low-threshold approach, and areas for future research. The evidence suggests that low-threshold approaches can increase access to treatment, with outcomes comparable to high-barrier, standard care. Policymakers, providers, and payers should lower the barriers to medication treatment through regulatory flexibility (including telehealth prescribing), and harm reduction strategies that de-emphasize abstinence and place a priority on initiating or re-initiating treatment whenever and wherever individuals are ready to do so

Viral Load Monitoring of Antiretroviral Therapy, cohort viral load and HIV transmission in Southern Africa: A Mathematical Modelling Analysis

In low-income settings, treatment failure is often identified using CD4 cell count monitoring. Consequently, patients remain on a failing regimen, resulting in a higher risk of transmission. We investigated the benefit of routine viral load monitoring for reducing HIV transmission

Does higher cost mean better quality? evidence from highly-regarded adolescent drug treatment programs

We conducted a survey to examine whether reimbursement levels are associated with the quality of adolescent substance use treatment programs in the United States. Between March and September 2005, telephone and written surveys were administered to program, clinical, and finance directors of previously surveyed highly regarded programs. Differences in quality scores were compared for programs with above versus below median reimbursement levels and examined in multivariate regression models constructed separately for programs offering residential and outpatient treatment. In residential treatment multivariate regression models, higher quality scores were associated with higher reimbursement, but this relationship was not observed for outpatient treatment. Even the highest level of outpatient reimbursement received may be too low to support quality improvement initiatives. Our results suggest that higher reimbursement may be a necessary component of quality improvement for residential adolescent drug treatment programs, and emphasize the need for further research to determine what levels of reimbursement and insurance coverage policies will encourage the expansion of high quality outpatient programs

Achieving Effective Antidepressant Pharmacotherapy in Primary Care: The Role of Depression Care Management in Treating Late-Life Depression

To estimate the effect of an evidence-based depression care management (DCM) intervention on the initiation and appropriate use of antidepressant in primary care patients with late-life depression. DESIGN : Secondary analysis of data from a randomized trial. SETTING : Community, primary care. PARTICIPANTS : Randomly selected individuals aged 60 and older with routine appointments at 20 primary care clinics randomized to provide a systematic DCM intervention or care as usual. METHODS : Rates of antidepressant use and dose adequacy of patients in the two study arms were compared at each patient assessment (baseline, 4, 8, and 12 months). For patients without any antidepressant treatment at baseline, a longitudinal analysis was conducted using multilevel logistic models to compare the rate of antidepressant treatment initiation, dose adequacy when initiation was first recorded, and continued therapy for at least 4 months after initiation between study arms. All analyses were conducted for the entire sample and then repeated for the subsample with major or clinically significant minor depression at baseline. RESULTS : Rates of antidepressant use and dose adequacy increased over the first year in patients assigned to the DCM intervention, whereas the same rates held constant in usual care patients. In longitudinal analyses, the DCM intervention had a significant effect on initiation of antidepressant treatment (adjusted odds ratio (OR)=5.63, P <.001) and continuation of antidepressant medication for at least 4 months (OR=6.57, P =.04) for patients who were depressed at baseline. CONCLUSIONS : Evidence-based DCM models are highly effective at improving antidepressant treatment in older primary care patients.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/66406/1/j.1532-5415.2009.02226.x.pd

Global estimates for the lifetime cost of managing HIV.

OBJECTIVE: There are an estimated 38 million people with HIV (PWH), with significant economic consequences. We aimed to collate global lifetime costs for managing HIV. DESIGN: We conducted a systematic review (PROSPERO: CRD42020184490) using five databases from 1999 to 2019. METHODS: Studies were included if they reported primary data on lifetime costs for PWH. Two reviewers independently assessed the titles and abstracts, and data were extracted from full texts: lifetime cost, year of currency, country of currency, discount rate, time horizon, perspective, method used to estimate cost and cost items included. Descriptive statistics were used to summarize the discounted lifetime costs [2019 United States dollars (USD)]. RESULTS: Of the 505 studies found, 260 full texts were examined and 75 included. Fifty (67%) studies were from high-income, 22 (29%) from middle-income and three (4%) from low-income countries. Of the 65 studies, which reported study perspective, 45 (69%) were healthcare provider and the remainder were societal. The median lifetime costs for managing HIV differed according to: country income level: $5221 [interquartile range (IQR)]: 2978-11 177) for low-income to$377 820 (IQR: 260 176-541 430) for high-income; study perspective: $189 230 (IQR: 14 794-424 069) for healthcare provider, to$508 804 (IQR: 174 781-812 418) for societal; and decision model: $190 255 (IQR: 13 588-429 772) for Markov cohort, to$283 905 (IQR: 10 558-453 779) for microsimulation models. CONCLUSION: Estimating the lifetime costs of managing HIV is useful for budgetary planning and to ensure HIV management is affordable for all. Furthermore, HIV prevention strategies need to be strengthened to avert these high costs of managing HIV

The Hepatitis C Cascade of Care: Identifying Priorities to Improve Clinical Outcomes

Background: As highly effective hepatitis C virus (HCV) therapies emerge, data are needed to inform the development of interventions to improve HCV treatment rates. We used simulation modeling to estimate the impact of loss to follow-up on HCV treatment outcomes and to identify intervention strategies likely to provide good value for the resources invested in them. Methods: We used a Monte Carlo state-transition model to simulate a hypothetical cohort of chronically HCV-infected individuals recently screened positive for serum HCV antibody. We simulated four hypothetical intervention strategies (linkage to care; treatment initiation; integrated case management; peer navigator) to improve HCV treatment rates, varying efficacies and costs, and identified strategies that would most likely result in the best value for the resources required for implementation. Main measures Sustained virologic responses (SVRs), life expectancy, quality-adjusted life expectancy (QALE), costs from health system and program implementation perspectives, and incremental cost-effectiveness ratios (ICERs). Results: We estimate that imperfect follow-up reduces the real-world effectiveness of HCV therapies by approximately 75%. In the base case, a modestly effective hypothetical peer navigator program maximized the number of SVRs and QALE, with an ICER compared to the next best intervention of $48,700/quality-adjusted life year. Hypothetical interventions that simultaneously addressed multiple points along the cascade provided better outcomes and more value for money than less costly interventions targeting single steps. The 5-year program cost of the hypothetical peer navigator intervention was$14.5 million per 10,000 newly diagnosed individuals. Conclusions: We estimate that imperfect follow-up during the HCV cascade of care greatly reduces the real-world effectiveness of HCV therapy. Our mathematical model shows that modestly effective interventions to improve follow-up would likely be cost-effective. Priority should be given to developing and evaluating interventions addressing multiple points along the cascade rather than options focusing solely on single points

The impact of HIV/HCV co-infection on health care utilization and disability: results of the ACTG Longitudinal Linked Randomized Trials (ALLRT) Cohort.

HIV/hepatitis C virus (HCV) co-infection places a growing burden on the HIV/AIDS care delivery system. Evidence-based estimates of health services utilization among HIV/HCV co-infected patients can inform efficient planning. We analyzed data from the ACTG Longitudinal Linked Randomized Trials (ALLRT) cohort to estimate resource utilization and disability among HIV/HCV co-infected patients and compare them to rates seen in HIV mono-infected patients. The analysis included HIV-infected subjects enrolled in the ALLRT cohort between 2000 and 2007 who had at least one CD4 count measured and completed at least one resource utilization data collection form (N = 3143). Primary outcomes included the relative risk of hospital nights, emergency department (ED) visits, and disability days for HIV/HCV co-infected vs HIV mono-infected subjects. When controlling for age, sex, race, history of AIDS-defining events, current CD4 count and current HIV RNA, the relative risk of hospitalization, ED visits, and disability days for subjects with HIV/HCV co-infection compared to those with HIV mono-infection were 1.8 (95% CI: 1.3-2.5), 1.7 (95% CI: 1.4-2.1), and 1.6 (95% CI: 1.3-1.9) respectively. Programs serving HIV/HCV co-infected patients can expect approximately 70% higher rates of utilization than expected from a similar cohort of HIV mono-infected patients