3 resultados para Utilisation multiple de véhicules

em Deakin Research Online - Australia


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To prospectively characterise treatment persistence and predictors of treatment discontinuation in an Australian relapsing-remitting multiple sclerosis (RRMS) population. Tertiary MS treatment centres participating in the MSBase registry prospectively assessed treatment utilisation, persistence, predictors of treatment discontinuation and switch rates. Multivariable survival analyses were used to compare treatment persistence between drugs and to identify predictors of treatment discontinuation. 1113 RRMS patients were studied. Patients persisted on their first disease-modifying therapy (DMT) for a median of 2.5 years. Treatment persistence on GA was shorter than on all IFNβ products (p<0.03). Younger age at treatment initiation and higher EDSS were predictive of DMT discontinuation. Patients persisted on subsequent DMTs, for 2.3 years. Patients receiving natalizumab (NAT) as a subsequent DMT persisted longer on treatment than those on IFNβ or GA (p<0.000). The primary reason for treatment discontinuation for any drug class was poor tolerability. Annualised switch or cessation rates were 9.5–12.5% for individual IFNβ products, 11.6% for GA and 4.4% for NAT. This multicentre MS cohort study is the first to directly compare treatment persistence on IFNβ and GA to NAT. We report that treatment persistence in our Australian RRMS population is short, although patients receiving IFNβ as a first DMT persisted longer on treatment than those on GA. Additionally, patients receiving NAT as a subsequent DMT were more likely to persist on treatment than those switched to IFNβ or GA. EDSS and age at DMT initiation were predictive of DMT discontinuation. Treatment intolerance was the principal reason for treatment cessation.

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Background: Chronic Heart Failure (CHF) has a high mortality and morbidity. Large scale randomised controlled trials have proven the benefits of beta blockade and ACE inhibitors in reducing mortality in patients with CHF and expert guidelines mandate their use. In spite of these recommendations, important therapies are under-prescribed and under-utilised.

Method: 1015 consecutive patients enrolled in CHF management programs across Australia were surveyed during 2005-2006 to determine prescribing patterns in heart failure medications. These patients were followed-up for a period of 6 months.

Results: The survey revealed that beta blockers were prescribed to 80% of patients (more than 85% were on sub-optimal doses) and 70% were prescribed Angiotensin converting enzyme (ACE) inhibitors (approximately 50% were on sub-optimal dose). 19% of patients were prescribed Angiotensin receptor blockers (ARBs). By 6 months <25% of the patients who were on sub-optimal dose beta blockers or ACE inhibitors at baseline, had been up-titrated to maximum dose (p<0.0001). In CHF programs, were nurses were able to titrate medications, 75% of patients reached optimal dose of beta blockers compared to those programs with no nurse-led medication titration, where only 25% of patients reached optimal dose (p<0.004). When examining optimal dosage for any two of these mandatory medications, less patients were on optimal therapy. Beta blockers and ACE inhibitors, were both prescribed in combination in 60% of patients. While beta blockers and ARBs were prescribed to 15% of patients.

Conclusion: Whilst prescribing rates for a single medication strategy of beta blockers, or ACE inhibitors were greater than 70%, an increase in dosage of these medications and utilisation of proven combination therapy of these medications was poor. It is suggested that clinical outcomes for this cohort of patients could be further improved by adherence to evidence-based practice, ESC guidelines, and optimisation of these medications by heart failure nurses in a CHF program. On the basis of these findings and in the absence of ready access to a polypill, focussing on evidence-based practice to increase utilisation and optimal dosage of combination medication therapy is critical.

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This study examines the determinants of multiple states of financial distress by applying a competing-risks model. It investigates the effect of financial ratios, market-based variables and company-specific variables, including company age, size and squared size on three different states of corporate financial distress: active companies; distressed external administration companies; and distressed takeover, merger or acquisition companies. A sample of 1,081 publicly listed Australian non-financial companies over the period 1989 to 2005 using a competing-risks model is used to determine the possible differences in the factors of entering various states of financial distress. It is found that specifically, distressed external administration companies have a higher leverage, lower past excess returns and a larger size; while distressed takeover, merger or acquisition companies have a lower leverage, a higher capital utilisation efficiency and a larger size compared to active companies. Comparing the results from both the single-risk model and the competing-risks model reveals the need to distinguish between financial distress states.