31 research outputs found

    Analysis of patient flows for orthopedic procedures using small area analysis in Switzerland

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    BACKGROUND: In general cantons regulate and control the Swiss health service system; patient flows within and between cantons are thereby partially disregarded. This paper develops an alternative spatial model, based upon the construction of orthopedic hospital service areas (HSA(O)s), and introduces indices for the analysis of patient streams in order to identify areas, irrespective of canton, with diverse characteristics, importance, needs, or demands. METHODS: HSA(O)s were constructed using orthopedic discharge data. Patient streams between the HSA(O)s were analysed by calculating three indices: the localization index (% local residents discharged locally), the netindex (the ratio of discharges of nonlocal incoming residents to outgoing local residents), and the market share index (% of local resident discharges of all discharges in local hospitals). RESULTS: The 85 orthopedic HSA(O)s show a median localization index of 60.8%, a market share index of 75.1%, and 30% of HSA(O)s have a positive netindex. Insurance class of bed, admission type, and patient age are partially but significantly associated with those indicators. A trend to more centrally provided health services can be observed not only in large urban HSA(O)s such as Geneva, Bern, Basel, and Zurich, but also in HSA(O)s in mountain sport areas such as Sion, Davos, or St.Moritz. Furthermore, elderly and emergency patients are more frequently treated locally than younger people or those having elective procedures. CONCLUSION: The division of Switzerland into HSA(O)s provides an alternative spatial model for analysing and describing patient streams for health service utilization. Because this small area model allows more in-depth analysis of patient streams both within and between cantons, it may improve support and planning of resource allocation of in-patient care in the Swiss healthcare system

    SAKK 24/09: safety and tolerability of bevacizumab plus paclitaxel vs. bevacizumab plus metronomic cyclophosphamide and capecitabine as first-line therapy in patients with HER2-negative advanced stage breast cancer - a multicenter, randomized phase III trial.

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    BACKGROUND: Adding bevacizumab to chemotherapy improves response rates and progression-free survival (PFS) in metastatic breast cancer (mBC). We aimed to demonstrate decreased toxicity with metronomic chemotherapy/bevacizumab compared with paclitaxel/bevacizumab. METHODS: This multicenter, randomized phase III trial compared bevacizumab with either paclitaxel (arm A) or daily oral capecitabine-cyclophosphamide (arm B) as first-line treatment in patients with HER2-negative advanced breast cancer. The primary endpoint was the incidence of selected grade 3-5 adverse events (AE) including: febrile neutropenia, infection, sensory/motor neuropathy, and mucositis. Secondary endpoints included objective response rate, disease control rate, PFS, overall survival (OS), quality of life (QoL), and pharmacoeconomics. The study was registered prospectively with ClinicalTrials.gov, number NCT01131195 on May 25, 2010. RESULTS: Between September 2010 and December 2012, 147 patients were included at 22 centers. The incidence of primary endpoint-defining AEs was similar in arm A (25 % [18/71]; 95 % CI 15-35 %) and arm B (24 % [16/68]; 95 % CI 13-34 %; P = 0.96). Objective response rates were 58 % (42/73; 95 % CI 0.46-0.69) and 50 % (37/74; 95 % CI 0.39-0.61) in arms A and B, respectively (P = 0.45). Median PFS was 10.3 months (95 % CI 8.7-11.3) in arm A and 8.5 months (95 % CI 6.5-11.9) in arm B (P = 0.90). Other secondary efficacy endpoints were not significantly different between study arms. The only statistically significant differences in QoL were less hair loss and less numbness in arm B. Treatment costs between the two arms were equivalent. CONCLUSION: This trial failed to meet its primary endpoint of a reduced rate of prespecified grade 3-5 AEs with metronomic bevacizumab, cyclophosphamide and capecitabine

    Is the EQ-5D suitable for use in oncology? An overview of the literature and recent developments

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    The European Quality of Life-5 Dimensions (EQ-5D) questionnaire is widely used in oncology to generate quality of life weights (utilities). The typical purpose is to inform health economic evaluation studies. The EQ-5D is generally suitable for this purpose; it has shown a reasonable degree of reliability, content validity, construct validity and responsiveness in the majority of the available studies. In situations of doubt, combination with other quality-of-life instruments may be an option. The authors expect that the five-level version of the EQ-5D will gradually replace the three-level version, due to reduced ceiling effects and more appropriate responsiveness. Further research should address the benefits achievable through additional dimensions or patient-based valuation, and the validity of EQ-5D versions for proxy respondents

    Clinical characteristics and therapeutic behavior of breast cancer patients using mistletoe therapy consulting a clinic offering integrative oncology: a registry data analysis

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    Abstract Motivation Cancer patients often use complementary and/or alternative medicine, such as mistletoe therapy, alongside conventional cancer therapies. In Switzerland, so far not much is known about treatment patterns of breast cancer patients using integrative oncology. Solid knowledge on complementary care utilization may help to enhance integrative oncology care in Switzerland. Methods In this exploratory, descriptive database study, we investigated the treatment pathways of a cohort of breast cancer patients who received mistletoe therapy and were documented in the cancer registry of an anthroposophic Swiss hospital offering integrative oncology treatments. Results Patients treated with mistletoe in this cohort are in median 10 years younger than Swiss breast cancer patients as a whole. Only 5.8% of these patients were treated with mistletoe alone, while 60.5% of them supplemented chemotherapy and/or hormone therapy and/or surgery and/or radiation with mistletoe therapy. Nearly 80% of patients started conventional therapy followed by additional mistletoe therapy or started mono mistletoe therapy after completion of conventional therapies. The median time from initial diagnosis to hospital admission (inpatient and/or outpatient) was less than one year. Almost ¾ of the patients were treated in an outpatient setting only. Conclusion From our data, it appears that younger breast cancer patients are more likely to use mistletoe therapy simultaneously with or following their conventional medical therapies. The extent to which these patients discuss their mistletoe therapy and eventually other complementary and/or alternative therapies with their primary oncologists is not clear from the data. We therefore recommend that (Swiss) oncologists should openly discuss the desire for integrative oncology therapies, especially with their younger breast cancer patients, in order to find the best holistic care pattern for these patients

    Handling Uncertainty in Cost-Effectiveness Analysis: Budget Impact and Risk Aversion

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    Methods to handle uncertainty in economic evaluation have gained much attention in the literature, and the cost-effectiveness acceptability curve (CEAC) is the most widely used method to summarise and present uncertainty associated with program costs and effects in cost-effectiveness analysis. Some researchers have emphasised the limitations of the CEAC for informing decision and policy makers, as the CEAC is insensitive to radial shifts of the joint distribution of incremental costs and effects in the North-East and South-West quadrants of the cost-effective plane (CEP). Furthermore, it has been pointed out that the CEAC does not incorporate risk-aversion in valuing uncertain costs and effects. In the present article, we show that the cost-effectiveness affordability curve (CEAFC) captures both dimensions of the joint distribution of incremental costs and effects on the CEP and is, therefore, sensitive to radial shifts of the joint distribution on the CEP. Furthermore, the CEAFC also informs about the budget impact of a new intervention, as it can be used to estimate the joint probability that an intervention is both affordable and cost-effective. Moreover, we show that the cost-effectiveness risk-aversion curve (CERAC) allows the analyst to incorporate different levels of risk-aversion into the analysis and can, therefore, be used to inform decision-makers who are risk-averse. We use data from a published cost-effectiveness model of palbociclib in addition to letrozole versus letrozole alone for the treatment of oestrogen-receptor positive, HER-2 negative, advanced breast cancer to demonstrate the differences between CEAC, CEAFC and CERAC, and show how these can jointly be used to inform decision and policy makers

    Handling Uncertainty in Cost-Effectiveness Analysis: Budget Impact and Risk Aversion

    No full text
    Methods to handle uncertainty in economic evaluation have gained much attention in the literature, and the cost-effectiveness acceptability curve (CEAC) is the most widely used method to summarise and present uncertainty associated with program costs and effects in cost-effectiveness analysis. Some researchers have emphasised the limitations of the CEAC for informing decision and policy makers, as the CEAC is insensitive to radial shifts of the joint distribution of incremental costs and effects in the North-East and South-West quadrants of the cost-effective plane (CEP). Furthermore, it has been pointed out that the CEAC does not incorporate risk-aversion in valuing uncertain costs and effects. In the present article, we show that the cost-effectiveness affordability curve (CEAFC) captures both dimensions of the joint distribution of incremental costs and effects on the CEP and is, therefore, sensitive to radial shifts of the joint distribution on the CEP. Furthermore, the CEAFC also informs about the budget impact of a new intervention, as it can be used to estimate the joint probability that an intervention is both affordable and cost-effective. Moreover, we show that the cost-effectiveness risk-aversion curve (CERAC) allows the analyst to incorporate different levels of risk-aversion into the analysis and can, therefore, be used to inform decision-makers who are risk-averse. We use data from a published cost-effectiveness model of palbociclib in addition to letrozole versus letrozole alone for the treatment of oestrogen-receptor positive, HER-2 negative, advanced breast cancer to demonstrate the differences between CEAC, CEAFC and CERAC, and show how these can jointly be used to inform decision and policy makers

    Monthly admission index of nl-res and l-res in winter sport (WSA) and regular (RegA) HSAo; 2000–2002

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    <p><b>Copyright information:</b></p><p>Taken from "Seasonal variation in orthopedic health services utilization in Switzerland: The impact of winter sport tourism"</p><p>BMC Health Services Research 2006;6():25-25.</p><p>Published online 3 Mar 2006</p><p>PMCID:PMC1434734.</p><p>Copyright © 2006 Matter-Walstra et al; licensee BioMed Central Ltd.</p> Nlind = nl-res admission index, lind = l-res admission index

    Monthly average length of stay per person of nl-res and l-res in winter sport (WSA) and regular (RegA) HSAo; 2000–2002

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    <p><b>Copyright information:</b></p><p>Taken from "Seasonal variation in orthopedic health services utilization in Switzerland: The impact of winter sport tourism"</p><p>BMC Health Services Research 2006;6():25-25.</p><p>Published online 3 Mar 2006</p><p>PMCID:PMC1434734.</p><p>Copyright © 2006 Matter-Walstra et al; licensee BioMed Central Ltd.</p> nllos = nl-res length of stay, llos = l-res length of stay, ------ = significant difference
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