12 research outputs found

    Using Nominal Group Technique to Identify Key Attributes of Oncology Treatments for a Discrete Choice Experiment.

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    Background. Responding to rising oncology therapy costs, multiple value frameworks are emerging. However, input from economists in their design and conceptualization has been limited, and no existing framework has been developed using preference weightings as legitimate indicators of value. This article outlines use of the nominal group technique to identify valued treatment attributes (such as treatment inconvenience) and contextual considerations (such as current life expectancy) to inform the design of a discrete choice experiment to develop a preference weighted value framework for future decision makers. Methods. Three focus groups were conducted in 2017 with cancer patients, oncology physicians, and nurses. Using the nominal group technique, participants identified and prioritized cancer therapy treatment and delivery attributes as well as contextual issues considered when choosing treatment options. Results. Focus groups with patients (n = 8), physicians (n = 6), and nurses (n = 10) identified 30 treatment attributes and contextual considerations. Therapy health gains was the first priority across all groups. Treatment burden/inconvenience to patients and their families and quality of evidence were prioritized treatment attributes alongside preferences for resource use and cost (to patients and society) attributes. The groups also demonstrated that contextual considerations when choosing treatment varied across the stakeholders. Patients prioritized existence of alternative treatments and oncologist/center reputation while nurses focused on administration harms, communication, and treatment innovation. The physicians did not prioritize any contextual issues in their top rankings. Conclusions. The study demonstrates that beyond health gains, there are treatment attributes and contextual considerations that are highly prioritized across stakeholder groups. These represent important candidates for inclusion in a discrete choice experiment seeking to provide weighted preferences for a value framework for oncology treatment that goes beyond health outcomes

    Employees with fibromyalgia: Medical co morbidity, healthcare costs, and work loss

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    • Compare prevalence rates of common comorbid conditions in employees diagnosed as having fibromyalgia (FM) or osteoarthritis (OA). • Identify trends in the use of medical care and prescription drugs by employees having FM or OA, as compared to control subjects. • Contrast total dollar costs and their components–medical costs, drug costs, and indirect costs of time lost from work–in employees with FM, those with OA, and control employees having neither of these disorders. Objectives: To compare 2005 health care resources among matched samples of employees with fibromyalgia (FM), osteoarthritis (OA), and controls. Methods: Using a claims database of privately insured individuals, FM and OA samples were derived from those with two or more disease-specific claims in 1999 to 2005 (1 in 2002 to 2005). Results: Total costs for employees with FM (10,199)approachedOAcosts(10,199) approached OA costs (10,861, P 0.3758) and were significantly higher than controls ($5274, P 0.0001). Cost components varied across disease-specifi

    Glioblastoma treatment patterns, survival, and healthcare resource use in real-world clinical practice in the USA

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    Background: Glioblastoma (GB) treatment remains challenging because of recurrence and poorly defined treatment options after first-line therapy. To better understand real-world application of treatment paradigms and their impact on outcomes, we describe patterns of treatment, outcomes, and use of cancer-related healthcare resource for glioblastoma in the USA. Methods: A retrospective, online chart-abstraction study was conducted; each participating oncologist contributed ≤5 charts. Patients were ≥18 years with biopsy-confirmed primary or secondary newly diagnosed GB on or after 1 January 2010, had received first- and second-line therapies, and had information collected for ≥3 months after initiation of second-line therapy or until death. Assessments were descriptive and included Kaplan–Meier analyses from initiation to end of second-line therapy, disease progression, or death. Results: One hundred sixty physicians contributed information on 503 patient charts. During first-line therapy, patients most commonly underwent temozolomide monotherapy (76.5%). During second-line therapy, patients most commonly underwent bevacizumab monotherapy (58.1%). Median duration of second-line therapy was 130 days; median time to disease progression was 113 days. Median survival was 153 days. Use of supportive care was observed to be numerically higher in first- compared with second-line therapy except for anti-depressants, growth factors, and stimulants. Frequently used resources included corticosteroids (78.8% of patients in first-line and 62.6% in second-line therapies), anti-epileptics (45.8% and 41.5%) and narcotic opioids (45.3% and 41.4%). Conclusions: Most GB patients received temozolomide during first-line therapy and bevacizumab monotherapy or combination therapy during second-line therapy. Use of supportive care appeared to be higher in first- compared with second-line therapy for some agents

    Real-World Treatment Patterns among Patients with Advanced Gastric Cancer in South Korea

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    Purpose The purpose of this study was to understand patient treatment patterns, outcomes, and healthcare resource use in cases of metastatic and/or locally recurrent, unresectable gastric cancer (MGC) in South Korea. Materials and Methods Thirty physicians reviewed charts of eligible patients to collect de-identified data. Patients must have received platinum/fluoropyrimidine first-line therapy followed by second-line therapy or best supportive care, had no other primary cancer, and not participated in a clinical trial following MGC diagnosis. Data were summarized using descriptive statistics. Kaplan-Meier analysis was used to describe survival. Results Of 198 patients, 73.7% were male, 78.3% were diagnosed with MGC after age 55 (mean, 61.3 years), and 47.0% were current or former smokers. The majority of tumors were located in the antrum/pylorus (51.5%). Metastatic sites most often occurred in the peritoneum (53.5%), lymph nodes (47.5%), and liver (38.9%). At diagnosis, the mean Charlson comorbidity index was 0.4 (standard deviation, 0.6). The most common comorbidities were chronic gastritis (22.7%) and cardiovascular disease (18.7%). Most patients (80.3%) received second-line treatment. Single-agent fluoropyrimidine was reported for 22.0% of patients, while 19.5% were treated with irinotecan and a fluoropyrimidine or platinum agent. The most common physician-reported symptoms during second-line treatment were nausea/vomiting (44.7%) and pain (11.3%), with antiemetics (44.7%), analgesics (36.5%), and nutritional support (11.3%) most often used as supportive care. Two-thirds of inpatient hospitalizations were for chemotherapy infusion. Outpatient hospitalization (31.6%) and visits to the oncologist (58.8%) were common among second-line patients. Conclusion Most patients received second-line treatment, although regimens varied. Understanding MGC patient characteristics and treatment patterns in South Korea will help address unmet needs

    Inhibition of NF-κB-Dependent Cytokine and Inducible Nitric Oxide Synthesis by the Macrocyclic Ellagitannin Oenothein B in TLR-Stimulated RAW 264.7 Macrophages

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    Immunomodulatory effects of oenothein B (<b>1</b>), a macrocyclic ellagitannin from various Onagraceae species, have been described previously. However, the mechanisms underlying the anti-inflammatory activity of <b>1</b> have not been fully clarified. The effects of <b>1</b> were investigated on inducible nitric oxide synthase, TLR-dependent and TLR-independent signal transduction cascades, and cytokine expression using murine macrophages (RAW 264.7). Compound <b>1</b> (10–60 μg/mL) reduced NO production, iNOS mRNA, and iNOS protein levels in a dose-dependent manner, without inhibition of iNOS enzymatic activity. It reduced the binding of the NF-κB p50 subunit to the biotinylated-consensus sequence and decreased nuclear p65 translocation. Gallic acid as a subunit of the macrocyclic ellagitannin <b>1</b> showed a far lower inhibitory activity. Nitric oxide production was reduced by <b>1</b> after stimulation using TLR2 (Pam2CSK4) and TLR4 (Kdo2) agonists, but this compound did not inhibit inducible nitric oxide synthesis after stimulation using interferon-gamma. IL-1beta, IL-6, and TNF-alpha mRNA synthesis was clearly reduced by the addition of <b>1</b>. Oenothein B (<b>1</b>) inhibits iNOS after stimulation with LPS, TLR2, and TLR4 agonists via inhibition of TLR/NF-κB-dependent inducible nitric oxide and cytokine synthesis independent from IFN-gamma/JAK/STAT pathways. The full molecular structure of this macrocyclic ellagitannin seems to be required for its immunomodulatory actions

    How Representative are Neuroimaging Samples? Large-Scale Evidence for Trait Anxiety Differences Between fMRI and Behaviour-Only Research Participants

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    Over the past three decades, functional MRI (fMRI) has become key to study how cognitive processes are implemented in the human brain. However, the question of whether participants recruited into fMRI studies differ from participants recruited into other study contexts has received little to no attention. This is particularly pertinent when effects fail to generalize across study contexts: for example, a behavioural effect discovered in a non-imaging context not replicating in a neuroimaging environment. Here, we tested the hypothesis, motivated by preliminary findings (n = 272), that fMRI participants differ from behaviour-only participants on one fundamental individual difference variable: trait anxiety. Analysing trait anxiety scores and possible confounding variables from healthy volunteers across multiple institutions (n = 3317), we found robust support for lower trait anxiety in fMRI study participants, consistent with a sampling or self-selection bias. The bias was larger in studies that relied on phone screening (compared to full in-person psychiatric screening), recruited at least partly from convenience samples (compared to community samples), and in pharmacology studies. Our findings highlight the need for surveying trait anxiety at recruitment and for appropriate screening procedures or sampling strategies to mitigate this bias
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