Evaluation of a patient self-directed mealtime insulin titration algorithm: a US payer perspective

Objective To model the potential economic impact of implementing the AUTONOMY once daily (Q1D) patient self-titration mealtime insulin dosing algorithm vs standard of care (SOC) among a population of patients with Type 2 diabetes living in the US.

Methods Three validated models were used in this analysis: The Treatment Transitions Model (TTM) was used to generate the primary results, while both the Archimedes (AM) and IMS Core Diabetes Models (IMS) were used to test the veracity of the primary results produced by TTM. Models used data from a ‘real world’ representative sample of patients (2012 US National Health and Nutrition Examination Survey) that matched the characteristics of US patients enrolled in the randomized controlled trial ‘AUTONOMY’ cohort. The base-case time horizon was 10 years.

Results The modeling results from TTM demonstrated that total costs in the base-case were reduced by $1732, with savings predicted to occur as early as year 1. Results from the three models were consistent, showing a reduction in total costs for all sensitivity analyses.

Limitations Data from short-term clinical trials were used to develop long-term projections. The nature of such extrapolation leads to increased uncertainty.

Conclusion The results from all three models indicate that the AUTONOMY Q1D algorithm has the potential to abate total costs as early as the first year.     

Influence of Socio-Demographics and Residential Environment on Leisure Activity Participation

Participating in leisure activities provides important benefits for all people. However, there is a substantial reduction of (green) leisure opportunities in cities, and the green spaces that are available often are poorly accessible. The purpose of this study is to analyze the diversity of participation in various types of leisure activities and to determine the relationship between leisure activity participation and characteristics of the residential environment depending on socio-demographic characteristics. Diary data from 803 respondents living in the Eindhoven region in the Netherlands were used. Four segments were identified that differ regarding their leisure activity participation, and a modest impact of green space accessibility was found.     

Governance of flexible mobile service platforms

Development of advanced mobile Internet services requires flexible service platforms. Every service offering needs generic functionalities like security, billing and customer data management. Such functionalities used to be integrated in the mobile network infrastructure but are now offered by competing service platforms. Future service platforms might be offered by operators but can also be embedded in the mobile phone or at the systems of the service providers. Studying flexibility of service platforms requires technological as well as strategic analysis, and should take into account the perspective of multiple stakeholders. Where to locate service platforms is not just a technological matter as it greatly influences flexibility of both service providers and end-users. This paper analyzes how various service platform technologies that are located at operators, mobile phone and service providers influence flexibility. We find that no single service platform offers superior flexibility to both service providers and end-users.     

Emotional Information Management: Concept development and measurement in public service announcements

Research on emotion as information in persuasive communication and ad response has created a need for a measure of individual abilities in the management of emotional information. Previous measures (e.g., emotional intelligence measures) lack adequate validity and reliability for use in persuasion and advertising contexts. Four studies iteratively refine a parsimonious Emotional Information Management scale that corresponds to theoretical dimensions of the construct and interrelationships between those dimensions—recognition of emotion, regulatory processes of optimistic utilization and management of emotions, as well as cognitive and emotional empathy. Reliability and construct validity are demonstrated, and scale norms are established. Although gender does not affect recognition of emotions or cognitive empathy, females exhibit greater emotional empathy ability, whereas males exhibit greater emotion regulation ability. Measuring emotional information management should contribute to greater understanding of responses to emotion‐laden or emotion‐eliciting persuasive communication (e.g., public service announcements). ©2010 Wiley Periodicals, Inc.     

Economic development, institutional change, and the political economy of agricultural protection An econometric study of Belgium since the 19th century

This empirical study uses 100 years of annual data on 11 agricultural commodities from Belgium to measure the impact of structural changes coinciding with economic development and changes in political institutions on agricultural protection. The analysis shows that changes in agricultural protection are caused by a combination of factors. Governments have increased protection and support to farmers when world market prices for their commodities fell, and vice versa, offsetting market effects on producer incomes. Other economic determinants were the share of the commodities in total consumer expenditures (negative effect) and in total output of the economy (positive effect). With Belgium a small economy, there was no impact of the trade position. Changes in political institutions have affected agricultural protection. Democratic reforms which induced a significant shift in the political balance towards agricultural interests, such as the introduction of the one‐man‐one‐vote system, led to an increase in agricultural protection. The integration of Belgian agricultural policies in the Common Agricultural Policy in 1968 coincided with an increase in protection, ceteris paribus. Both institutional factors, related to changes in access to and information about the decision‐making at the EU level, and structural changes in the agricultural and food economy may explain this effect.     

Modelling pedestrian go-home decisions: A comparison of linear and nonlinear compensatory,and conjunctive non-compensatory specifications

This paper presents the main findings of an application of several models to predict the go-home decision of pedestrians in shopping streets. Two compensatory multinomial logit models, one with a linear utility function of time and the other with a nonlinear utility function of time, and a non-compensatory conjunctive model are specified. Data about pedestrian behaviour in a major shopping street in Beijing served as input for model estimation. The conjunctive model performs best, suggesting that pedestrians use simplifying heuristics to decide when to end the shopping trip and go home. In addition, the nonlinear multinomial logit model outperforms the linear model, indicating that marginal utility of time decreases with increasing time.     

Explaining NFL fans' purchase intentions for revered and reviled teams: A dual-process perspective

Prior research in consumer decision-making describes the increased utility derived from consideration of both cognitive and emotive determinants of choice (i.e., a dual-process approach). In the sport consumption context, cognitive factors such as personal beliefs and feelings for a particular team have been shown to influence fan behavior. Further, fans often engage in team-related discussion and behaviors rooted in cognitive and emotive perceptions; yet, research examining such factors jointly as determinants of sport consumption is limited. Using undergraduate business student samples from the southwest U.S., this research develops, tests, and shows support for two dual-process models for revered (Study1) and reviled (Study 2) National Football League (NFL) teams.     

Serving the poor: Multisided mobile service platforms,openness, competition,collaboration and the struggle for leadership

Four billion people at the base of the economic pyramid live on incomes below $3000 a year in local purchasing power, and more often than not, lack consistent access to services, such as water, healthcare, banking or agricultural know-how. Rapid advances in mobile technology offer the potential to mediate access to essential services. Through this research, the answers to the following question were explored: will mobile service platforms bridge the gap between service providers and people living at the base of the pyramid in developing countries? Anchored in interviews with 31 experts in the field of mobile and ICT, qualitative analysis starting from platform leadership to explain the role of mobile service platforms is presented: how operator, device and service provider centric platforms compete, collaborate and open up (or not) for delivering scalable services to the poor. Based on the analysis in this paper, it is portended that although operator centric platforms are in pole position, device centric platform providers, being astute innovators, are positioned to close the lead by presenting alternatives to bridge the gap in developing countries. This paper frames the current debate on M4D through the lens of platform theory, and aims to provide guidance to policy makers to improve access to services for the poor.