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The direct medical costs of pterygium in Australia are AUD$8.3 m annually. This is likely to be an underestimate of total cost because indirect costs such as loss of work time could not be measured. More data are needed on the long-term benefits of pterygium intervention.

Background The purpose of this study was to understand how the COVID-19 pandemic has affected health care patterns and outcomes for patients diagnosed with metastatic pancreatic ductal adenocarcinoma (mPDAC) in 2020 compared with those diagnosed with mPDAC in 2019. Patients and Methods We used the Flatiron Health database to identify adults diagnosed with mPDAC from March 1 to September 30, 2019 (pre-COVID-19 cohort) and March 1 to September 30, 2020 (post-COVID-19 cohort). Between-cohort comparisons included demographic and clinical characteristics and year-over-year data for diagnosis of mPDAC, newly treated patients, time to and types of first-line therapy, and adverse events (AEs) during first-line therapy. Overall survival (OS) and milestone survival rates were evaluated. Kaplan-Meier methods were used to assess OS. Results Pre-COVID-19 (n = 923) and post-COVID-19 (n = 796) cohorts had similar baseline demographic characteristics. A smaller proportion of patients in the pre-COVID-19 cohort were initially diagnosed with stage IV disease versus the post-COVID-19 cohort (62.2% vs 69.7%). Between 2019 and 2020, there was a 13.8% decrease in diagnosis of mPDAC and a 13.0% decrease in newly treated patients. Median (interquartile range) times to first-line treatment were similar (21 [13-40] and 19 [12-32] days). Median OS (months) was significantly longer in the pre-COVID-19 cohort (8·4 [95% CI: 7·5, 9·0]) versus the post-COVID-19 cohort (6·1 [95% CI: 5·4, 6·9]; P < .001). Survival rates were higher in the pre-COVID-19 versus post-COVID-19 cohorts. Conclusions During the pandemic, patients were initially diagnosed with PDAC at more advanced stages. While patients in both cohorts appeared to receive similar care, survival outcomes were adversely affected.

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A pharmacoeconomic analysis of therapies for patients with benign prostatic hyperplasia (BPH) was conducted. The therapies compared were androgenic hormone inhibition (finasteride) and alpha-blockade (doxazosin, prazosin and terazosin). This was a cost-effectiveness analysis from the perspective of the US military. The 36-month decision-tree model considered the aforementioned drugs as initial therapy for BPH following an unsuccessful period of watchful waiting. Therapy was continued toward a successful response. All patients who did not respond to therapy received secondary interventions, including transurethral resection of the prostate (TURP). The main outcome measures were clinical effectiveness and incurred costs. A Monte Carlo sensitivity analysis was performed on all cost-effectiveness ratios. The model and sensitivity analysis supported prazosin as the most cost effective alpha-blocker over finasteride: the mean difference was $US381.65 (1994 values) per successfully treated patient, with a range of $US57.83 to $US675.53, in favour of prazosin. If prazosin was used as initial drug therapy after watchful waiting for a man over 50 years of age with classical symptoms of prostatism and no other severe or confounding comorbid conditions, a cost of $US578.15 per treatment could be expected, with clinical effectiveness of 70.3%. Patients who cannot tolerate prazosin should be considered for terazosin therapy before moving on from alpha-blockers. Subsequent treatment with finasteride would cost $US1426.53, with an additional clinical effectiveness of 9.9%. For the small number of patients who fail both therapies, the cost effectiveness of a first TURP as 'third-line' intervention [$US4321.36 for an additional effectiveness of 8.62% and a repeat TURP as 'fourth-line' ($US7650.54 for 0.59%) interventional] was calculated in a similar manner. Costs were cumulative, and effectiveness was derived from the total number of patients who started prazosin therapy. Pharmacological therapy was more cost effective than surgical intervention, and alpha-blockers were more cost effective than finasteride. Among the alpha-blockers, prazosin was by far the most cost effective followed by terazosin, then doxazosin.

ST provides a fast and effective treatment of acute blepharitis compared to azithromycin. Initial therapy with the combination of tobramycin/dexamethasone provides faster inflammation relief than azithromycin for moderate to severe blepharitis/blepharoconjunctivitis.

Depression is a very costly chronic disease. An important cost driver is treatment failure caused by patient noncompliance due, in part, to the adverse effects of medications. Additionally, inadequate duration of therapy and inappropriate medication switching contribute to the high cost of treatment. With the epidemiological data for depression demonstrating a rise in both incidence and prevalence over the last 20 years, and the fact that many of the newer antidepressants will see patent expiry in the near future, previous antidepressant cost-effectiveness scenarios are likely to change. As economic models play an increasingly important role in therapeutic decision-making, clinicians are encouraged to understand the strategies and methods involved in modelling antidepressant therapy. The aim of this review of the literature and synthesis of the various techniques important to the modelling of antidepressant therapies is for the practitioner to gain an increased understanding of the modelling methods previously utilised and be in a position to better evaluate future health economic models for the treatment of depression.