Healthcare utilization and costs among relapsed or refractory multiple myeloma patients on carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone

Aim: To compare monthly healthcare resource utilization (HRU) and costs among adult patients with multiple myeloma (MM) receiving second or subsequent line of treatment (LOT) with carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone.

Methods and materials: Adult MM patients who received carfilzomib or pomalidomide as second/subsequent LOT between 2006 and 2014 were selected from the MarketScan databases. LOT was determined using Medical/pharmacy claims using a published algorithm. For each patient, first LOT with carfilzomib or pomalidomide was defined as index LOT. Patients with first LOT as index LOT, who received other chemotherapy in combination with carfilzomib or pomalidomide, or who underwent stem cell transplant (STC) during index LOT were excluded. Monthly HRU and costs during index LOT were compared using inverse probability of treatment weights (IPTW) based on propensity scores for receipt of carfilzomib estimated by logistic regression with LOT, patient demographics, Charlson index, comorbidities, pre-index healthcare cost, and receipt of prior SCT as covariates.

Results: After weighting, baseline characteristics were well balanced among 114 carfilzomib and 144 pomalidomide patients. Mean (95% CI) numbers of outpatient visits per month were 7.1 (5.2–8.0) with carfilzomib and 4.7 (3.9–6.1) with pomalidomide (p?=?0.006). Otherwise, there were no statistically significant differences between the groups in mean monthly HRU and costs or median time to therapy discontinuation. Mean (95% CI) monthly total healthcare costs were $19,776 (15,322–27,748) with pomalidomide and $17,321 (12,412–21,874) with carfilzomib (p?=?0.522).

Limitations: Comparison of carfilzomib vs pomalidomide may be biased if there are unobserved factors not balanced by IPTW. The relatively small sample size limits the power of analyses to detect potential differences between treatment groups.

Conclusions: Monthly HRU and costs are similar among patients with relapse or refractory MM patients receiving carfilzomib or pomalidomide as monotherapy or in combination with dexamethasone.     

Inflation Linkages Within The Eurozone: Core vs. Periphery

We examine the process of inflation transmission among GIIPS countries (Greece, Ireland, Italy, Portugal and Spain) and Germany. Our findings suggest that inflation spillovers have increased since 2001. We also find that peripheral economies are (dis‐)inflation transmitters to the core. This finding is significant for policy formulation, given the very low inflation environment that currently exists in the Euro area and the macroeconomic implications that arise from this.     

Performance Analysis of Lodging REITs in Relation to Market Segments

This article examines the financial performance of lodging real estate investment trusts (REITs) in relation to their market focus. Secondary data were collected for from 2004 to 2008 from lodging REITs that were traded on major U.S. stock exchanges. Data envelopment analysis (DEA) was used to assess the efficiencies of market segments to generate financial performance. The results showed that two lodging REITs were consistently efficient during the study period relative to other lodging REITs. In particular, lodging REITs investing and/or operating in one or more relatively similar market segments and those focusing on the upper-upscale segment were more efficient than others. This study could provide managers, owners, and investors of lodging REITs preliminary evidence of the relationship between market segments and firm performance. This article also proposes a framework for future investigations to assess the performance of REITs.     

Bayesian model averaging and identification of structural breaks in time series

Bayesian Model Averaging (BMA) is used for testing for multiple break points in univariate series using conjugate normal-gamma priors. This approach can test for the number of structural breaks and produce posterior probabilities for a break at each point in time. Results are averaged over specifications including: stationary; stationary around trend and unit root models, each containing different types and number of breaks and different lag lengths. The procedures are used to test for structural breaks on 14 annual macroeconomic series and 11 natural resource price series. The results indicate that there are structural breaks in all of the natural resource series and most of the macroeconomic series. Many of the series had multiple breaks. Our findings regarding the existence of unit roots, having allowed for structural breaks in the data, are largely consistent with previous work.     

Imported Intermediate Inputs,R&D,and Productivity at Firm Level: Evidence from Indian Manufacturing Industries

This article examines the effects of imported intermediary inputs and in-house research and development (R&D) on productivity growth, using firm-level data from Indian manufacturing industries for the period 2000–09. For this purpose, we adopted two empirical frameworks: production function and growth accounting method. The estimated results from the production function framework suggest that the impact of imported intermediary goods on output is reasonably sizable. The role of R&D activities under this framework is found to be insignificant. The analysis based on the growth accounting suggests that total factor productivity of firms is linked with import and R&D activities.     

Scarcity Appeal in Advertising: Exploring the Moderating Roles of Need for Uniqueness and Message Framing

In this article we examine differences in the impact of message framing and scarcity appeal types in advertisements on consumers with varying levels of need for uniqueness (NFU). Results from two experimental studies support a two-way NFU × scarcity interaction, wherein participants with lower levels of NFU show a greater impact of demand (versus supply) scarcity appeal on their attitudes and purchase intentions; whereas participants with higher levels of NFU show a greater impact of supply (versus demand) appeal. In addition, we found support for a three-way interaction, which shows that, under both gain and loss frames, participants with lower levels of NFU prefer demand over supply appeal; whereas under the loss frame, participants with higher levels of NFU prefer supply over demand appeal. We discuss the conceptual contribution and managerial implications of these findings.     

Celebrity influences on consumer decision making: new insights and research directions

ABSTRACT

Throughout human history, people have expressed admiration for heroes who possessed extraordinary abilities and achieved superhuman goals. For many, modern-day celebrities fulfil this role and are prominent in various marketing communications activities. This paper addresses the literature review gaps and provides an in-depth review of the psychological and social psychological perspectives which are relevant to the celebrity endorsement literature. The contributions of this paper consist of a detailed analysis of important types of consumer-celebrity relationships, key emotional drivers (e.g. envy and admiration) of celebrity influence and the development of an original conceptual model. The conceptual model pulls together the past research and identifies new research gaps, which synthesises different research perspectives and provides a sound theoretical basis guiding future researchers and marketing managers.     

Complainers versus non-complainers: a multi-national investigation of individual and situational influences on customer complaint behaviour

Abstract

One of the least understood areas in customer complaint behaviour (CCB) research is why some customers complain and others do not in similar dissatisfaction situations. Prior research has explored differences in customer characteristics between complainers and non-complainers, but not in association with relevant situational factors. This gap is addressed with a new conceptual framework incorporating two situational variables – customer dissatisfaction and involvement – and two consumer traits – impulsivity and self-monitoring. Several hypotheses about their main and interaction effects are tested in two different contexts, using a survey-based study in three countries (Singapore, South Korea, and the United States). Specifically, it is shown that CCB is positively associated with involvement and impulsivity, and negatively with self-monitoring. Involvement and impulsivity are shown to moderate the association between dissatisfaction and CCB positively, and self-monitoring moderates it negatively. Some implications and directions for future research are also discussed.     

Universally optimal balanced changeover designs with first residuals

Considering the presence of first order residual effects of treatments, a family of variance balanced changeover designs has been presented and universal optimality of the designs is established. The designs use only v experimental units and (v ? 1)/2 periods for v = 4t + 3 prime or prime power number of treatments; t being a positive integer. A special feature of the proposed designs is that ‘in the order of presentation of treatments to experimental units over periods, each treatment is once immediately preceded by only half of the other treatments and is immediately followed once by the remaining half of the treatments’. This characteristic results in reducing the size of the variance balanced designs considerably.     

A systematic literature review to integrate lean,agile, resilient,green and sustainable paradigms in the supply chain management

The main focus of this study is to conduct a systematic literature review to integrate lean, agile, resilient, green and sustainable (LARGS) paradigms in the supply chain (SC) domain. To achieve this aim, several research questions were designed: First, how to locate LARGS research in context of SC domain? For this, it is important to understand which types of research articles should be selected for the study? Further, where such studies were conducted (geographical location)? Second, what is the focus of research in LARGS paradigm in SCs? For this, it is important to study, which types of industries or sectors have been targeted in literature? In addition, which tools and techniques have been used mostly? Third, what are the current trends in the relationships of LARGS paradigms, among themselves, and with SC performance measures? Fourth, what are the emerging issues, unexplored areas in this field, based on these what could be future research avenues in this subject domain have been proposed? A total of 160 relevant articles published during 1999–2019 were used for analysis. Based on analysis, findings are summarised, and main research issues and possible future research directions in LARGS paradigms in SCs are highlighted.