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Rationale: As community health interventions advance from being faith-placed to authentically faith-based, greater discussion is needed about the theory, practice, and ethics of delivering health messages embedded within a religious worldview. While there is much potential to leverage religion to promote health behaviors and improve health outcomes, there is also a risk of co-opting religious teachings for strictly biomedical ends., Objective: To describe the development, implementation, and ethical dimensions of a conceptual model for religiously-tailoring health messages., Method: We used data from 6 focus groups and 19 interviews with women aged 40 and older sampled from diverse Muslim community organizations to map out how religious beliefs and values impact mammography-related behavioral, normative and control beliefs. These beliefs were further grouped into those that enhance mammography intention (facilitators) and those that impede intention (barriers). In concert with a multi-disciplinary advisory board, and by drawing upon leading theories of health behavior change, we developed the "3R" model for crafting religiously-tailored health messages., Results: The 3R model addresses barrier beliefs, which are beliefs that negatively impact adopting a health behavior, by (i) reframing the belief within a relevant religious worldview, (ii) reprioritizing the belief by introducing another religious belief that has greater resonance with participants, and (iii) reforming the belief by uncovering logical flaws and/or theological misinterpretations. These approaches were used to create messages for a peer-led, mosque-based, educational intervention designed to improve mammography intention among Muslim women., Conclusions: There are benefits and potential ethical challenges to using religiously tailored messages to promote health behaviors. Our theoretically driven 3R model aids interventionists in crafting messages that address beliefs that hinder healthy behaviors. It is particularly useful in the context of faith-based interventions for it highlights the ethical choices that must be made when incorporating religious values and beliefs in tailored messages., (Copyright © 2018 Elsevier Ltd. All rights reserved.)

The growing volume and variety of data presents both opportunities and challenges for visual analytics. Addressing these challenges is needed for big data to provide valuable insights and novel solutions for business, security, social media, and healthcare. In the case of temporal event sequence analytics it is the number of events in the data and variety of temporal sequence patterns that challenges users of visual analytic tools. This paper describes 15 strategies for sharpening analytic focus that analysts can use to reduce the data volume and pattern variety. Four groups of strategies are proposed: (1) extraction strategies, (2) temporal folding, (3) pattern simplification strategies, and (4) iterative strategies. For each strategy, we provide examples of the use and impact of this strategy on volume and/or variety. Examples are selected from 20 case studies gathered from either our own work, the literature, or based on email interviews with individuals who conducted the analyses and developers who observed analysts using the tools. Finally, we discuss how these strategies might be combined and report on the feedback from 10 senior event sequence analysts.

The aim of this work was to study the thermal degradation of grass (Cymbopogon schoenanthus) under an inert environment at three heating rates, including 10, 30, and 50°Cmin -1 in order to evaluate its bioenergy potential. Pyrolysis experiments were performed in a simultaneous Thermogravimetry-Differential Scanning Calorimetry analyzer. Thermal data were used to analyze kinetic parameters through isoconversional models of Flynn-Wall-Ozawa (FWO) and Kissenger-Akahira-Sunose (KSA) methods. The pre-exponential factors values have shown the reaction to follow first order kinetics. Activation energy values were shown to be 84-193 and 96-192kJmol -1 as calculated by KSA and FWO methods, respectively. Differences between activation energy and enthalpy of reaction values (∼5 to 6kJmol -1 ) showed product formation is favorable. The Gibb's free energy (173-177kJmol -1 ) and High Heating Value (15.00MJkg -1 ) have shown the considerable bioenergy potential of this low-cost biomass., (Copyright © 2016 Elsevier Ltd. All rights reserved.)

Background: Advanced computing capabilities and novel visual analytics tools now allow us to move beyond the traditional cross-sectional summaries to analyze longitudinal prescription patterns and the impact of study design decisions. For example, design decisions regarding gaps and overlaps in prescription fill data are necessary for measuring adherence using prescription claims data. However, little is known regarding the impact of these decisions on measures of medication possession (e.g., medication possession ratio). The goal of the study was to demonstrate the use of visualization tools for pattern discovery, hypothesis generation, and study design., Method: We utilized EventFlow, a novel discrete event sequence visualization software, to investigate patterns of prescription fills, including gaps and overlaps, utilizing large-scale healthcare claims data. The study analyzes data of individuals who had at least two prescriptions for one of five hypertension medication classes: ACE inhibitors, angiotensin II receptor blockers, beta blockers, calcium channel blockers, and diuretics. We focused on those members initiating therapy with diuretics (19.2%) who may have concurrently or subsequently take drugs in other classes as well. We identified longitudinal patterns in prescription fills for antihypertensive medications, investigated the implications of decisions regarding gap length and overlaps, and examined the impact on the average cost and adherence of the initial treatment episode., Results: A total of 790,609 individuals are included in the study sample, 19.2% (N = 151,566) of whom started on diuretics first during the study period. The average age was 52.4 years and 53.1% of the population was female. When the allowable gap was zero, 34% of the population had continuous coverage and the average length of continuous coverage was 2 months. In contrast, when the allowable gap was 30 days, 69% of the population showed a single continuous prescription period with an average length of 5 months. The average prescription cost of the period of continuous coverage ranged from US$3.44 (when the maximum gap was 0 day) to US$9.08 (when the maximum gap was 30 days). Results were less impactful when considering overlaps., Conclusions: This proof-of-concept study illustrates the use of visual analytics tools in characterizing longitudinal medication possession. We find that prescription patterns and associated prescription costs are more influenced by allowable gap lengths than by definitions and treatment of overlap. Research using medication gaps and overlaps to define medication possession in prescription claims data should pay particular attention to the definition and use of gap lengths.

Objectives: To document the experiences of Iraqi doctors residing in Jordan before departure from Iraq and to assess factors associated with migration., Methods: Respondent-driven sampling was used to obtain information from 401 Iraqi doctors arriving in Jordan after the invasion of 2003. Three seeds were used and chains were carried out to 10-11 waves of respondents; interviews were carried out either in person or by mobile phone., Results: Migration of Iraqi doctors to Jordan peaked in 2006; 94 percent of doctors were from Baghdad and 25 percent had been internally displaced before migration to Jordan. Departure from Iraq was associated with a violent event in 61 percent (confidence interval [CI]: 56-65) of cases and 75 percent (CI: 70-79) of doctor households experienced a violent event before migration. Kidnappings or assassination attempts were reported by 17 percent (CI: 25-34) of doctors; male sex and older age were significantly associated with increased risk in multivariate models. Only 30 percent (CI: 25-34) of doctors reported they have plan to return to Iraq when the conflict is over and 6 percent (CI: 4-9) reported planning to return to Iraq within a year; the majority (52 percent, CI: 47-57) planned to settle in a third country., Conclusions: Iraq has lost many of its doctors as a result of the conflict, and the majority of those displaced in Jordan have no plans to return. The human capital losses associated with the large-scale displacement of Iraqi doctors are substantial and have left a critical void in human capital that will likely impact the health system for decades.