HERQULES:System level cross-layer design exploration for efficient energy-quality trade-offs

In this paper, we present a unique cross-layer design framework that allows systematic exploration of the energy-delay-quality trade-offs at the algorithm, architecture and circuit level of design abstraction for each block of a system. In addition, taking into consideration the interactions between different sub-blocks of a system, it identifies the design solutions that can ensure the least energy at the "right amount of quality" for each sub-block/system under user quality/delay constraints. This is achieved by deriving sensitivity based design criteria, the balancing of which form the quantitative relations that can be used early in the system design process to evaluate the energy efficiency of various design options. The proposed framework when applied to the exploration of energy-quality design space of the main blocks of a digital camera and a wireless receiver, achieves 58% and 33% energy savings under 41% and 20% error increase, respectively. © 2010 ACM.

A function-based treatment package aiming at decreasing self-injurious behaviour and tantrums.

Self-injurious and aggressive behaviours have often been identified as the cause for students’ lack of academic progress, parental distress, health risks and teachers´ low satisfaction levels. Functional analysis has been identified in the research literature as the benchmark of effective treatments for disruptive and/or inappropriate behaviours. The present study was completed with a girl diagnosed with ASD. An experimental functional analysis was conducted identifying the function of self-injurious behaviours and tantrums to be escaping from tasks. A treatment package was consequently put in place integrating several components that aimed at reducing overall levels of inappropriate behaviours. Results showed a clear and meaningful improvement in the student´s overall health and academic progress, as well as in parental involvement, teachers’ satisfaction and school inclusion. These outcomes are discussed in the light of evidence-based experimental procedures based on applied behaviour analysis and more specifically on the functional-analytic literature, which, if put in place consistently, can bring valuable positive changes in the quality of life of individuals with ASD.

Positioning Clinical Nurse Specialists and Nurse Practitioners as Change Champions to Implement a Pain Protocol in Long-Term Care

Pain management for older adults in long-term care (LTC) has been recognized as a problem internationally. The purpose of this study was to explore the role of a clinical nurse specialist (CNS) and nurse practitioner (NP) as change champions during the implementation of an evidence-based pain protocol in LTC. In this exploratory, multiple-case design study, we collected data from two LTC homes in Ontario, Canada. Three data sources were used: participant observation of an NP and a CNS for 18 hours each over a 3-week period; CNS and NP diaries recording strategies, barriers, and facilitators to the implementation process; and interviews with members of the interdisciplinary team to explore perceptions about the NP and CNS role in implementing the pain protocol. Data were analyzed using thematic content analysis. The NP and CNS used a variety of effective strategies to promote pain management changes in practice including educational outreach with team members, reminders to nursing staff to highlight the pain protocol and educate about practice changes, chart audits and feedback to the nursing staff, interdisciplinary working group meetings, ad hoc meetings with nursing staff, and resident assessment using advanced skills. The CNS and NP are ideal champions to implement pain management protocols and likely other quality improvement initiatives.

Principles of the performance-based approach for concrete durability

In general, design approaches for durability can be divided into prescriptive design concepts and performance-based design concepts.

A systematic review investigating the effectiveness of Complementary and Alternative Medicine (CAM) for the management of low back and/or pelvic pain (LBPP) in pregnancy

Aim: To evaluate and summarize the current evidence on the effectiveness of complementary and alternative medicine for the management of low back pain and/or pelvic pain in pregnancy.

Background: International research demonstrates that 25-30% of women use complementary and alternative medicine to manage low back and pelvic pain in pregnancy without robust evidence demonstrating its effectiveness.

Design: A systematic review of randomized controlled trials to determine the effectiveness of complementary and alternative medicine for low back and/or pelvic pain in pregnancy.

Data Sources: Cochrane library (1898-2013), PubMed (1996-2013), MEDLINE (1946-2013), AMED (1985-2013), Embase (1974-2013), Cinahl (1937-2013), Index to Thesis (1716-2013) and Ethos (1914-2013).

Review Methods: Selected studies were written in English, randomized controlled trials, a group 1 or 2 therapy and reported pain reduction as an outcome measure. Study quality was reviewed using Risk of Bias and evidence strength the Cochrane Grading of Recommendations and Development Evaluation Tool.

Results: Eight studies were selected for full review. Two acupuncture studies with low risk of bias showed both clinically important changes and statistically significant results. There was evidence of effectiveness for osteopathy and chiropractic. However, osteopathy and chiropractic studies scored high for risk of bias. Strength of the evidence across studies was very low.

Conclusion: There is limited evidence supporting the use of general CAM for managing pregnancy-related low back and/or pelvic pain. However, the restricted availability of high-quality studies, combined with the very low evidence strength, makes it impossible to make evidence-based recommendations for practice.

Making randomised trials more efficient: report of the first meeting to discuss the Trial Forge platform

Randomised trials are at the heart of evidence-based healthcare, but the methods and infrastructure for conducting these sometimes complex studies are largely evidence free. Trial Forge (www.trialforge.org) is an initiative that aims to increase the evidence base for trial decision making and, in doing so, to improve trial efficiency.

This paper summarises a one-day workshop held in Edinburgh on 10 July 2014 to discuss Trial Forge and how to advance this initiative. We first outline the problem of inefficiency in randomised trials and go on to describe Trial Forge. We present participants' views on the processes in the life of a randomised trial that should be covered by Trial Forge.

General support existed at the workshop for the Trial Forge approach to increase the evidence base for making randomised trial decisions and for improving trial efficiency. Agreed upon key processes included choosing the right research question; logistical planning for delivery, training of staff, recruitment, and retention; data management and dissemination; and close down. The process of linking to existing initiatives where possible was considered crucial. Trial Forge will not be a guideline or a checklist but a 'go to' website for research on randomised trials methods, with a linked programme of applied methodology research, coupled to an effective evidence-dissemination process. Moreover, it will support an informal network of interested trialists who meet virtually (online) and occasionally in person to build capacity and knowledge in the design and conduct of efficient randomised trials.

Some of the resources invested in randomised trials are wasted because of limited evidence upon which to base many aspects of design, conduct, analysis, and reporting of clinical trials. Trial Forge will help to address this lack of evidence.

Challenges to undertaking randomised trials with looked after children in social care settings

Background: Randomised controlled trials (RCTs) are widely viewed as the gold standard for assessing effectiveness in health research; however many researchers and practitioners believe that RCTs are inappropriate and un-doable in social care settings, particularly in relation to looked after children. The aim of this article is to describe the challenges faced in conducting a pilot study and phase II RCT of a peer mentoring intervention to reduce teenage pregnancy in looked after children in a social care setting.

Methods: Interviews were undertaken with social care professionals and looked after children, and a survey conducted with looked after children, to establish the feasibility and acceptability of the intervention and research design.

Results: Barriers to recruitment and in managing the intervention were identified, including social workers acting as informal gatekeepers; social workers concerns and misconceptions about the recruitment criteria and the need for and purpose of randomisation; resource limitations, which made it difficult to prioritise research over other demands on their time and difficulties in engaging and retaining looked after children in the study.

Conclusions: The relative absence of a research infrastructure and culture in social care and the lack of research support funding available for social care agencies, compared to health organisations, has implications for increasing evidence-based practice in social care settings, particularly in this very vulnerable group of young people.

Improved lexicon-based sentiment analysis for social media analytics

Social media channels, such as Facebook or Twitter, allow for people to express their views and opinions about any public topics. Public sentiment related to future events, such as demonstrations or parades, indicate public attitude and therefore may be applied while trying to estimate the level of disruption and disorder during such events. Consequently, sentiment analysis of social media content may be of interest for different organisations, especially in security and law enforcement sectors. This paper presents a new lexicon-based sentiment analysis algorithm that has been designed with the main focus on real time Twitter content analysis. The algorithm consists of two key components, namely sentiment normalisation and evidence-based combination function, which have been used in order to estimate the intensity of the sentiment rather than positive/negative label and to support the mixed sentiment classification process. Finally, we illustrate a case study examining the relation between negative sentiment of twitter posts related to English Defence League and the level of disorder during the organisation’s related events.

Cataract after glaucoma filtration surgery.

PURPOSE:

We reviewed the evidence regarding cataract incidence and progression after glaucoma surgery.

DESIGN:

Evidence-based review of available literature.

METHODS:

We performed a systematic review of relevant studies published in English.

RESULTS:

Reports of visually significant cataract after glaucoma surgery are supported by data from randomized clinical trials and large case series.

CONCLUSIONS:

Patients undergoing glaucoma surgery are at increased risk for the development and progression of cataract.

Improving allied health professionals' research implementation behaviours for children with cerebral palsy: protocol for a before-after study

BACKGROUND: Cerebral palsy is a permanent disorder of posture and movement caused by disturbances in the developing brain. It affects approximately 1 in every 500 children in developed countries and is the most common form of childhood physical disability. People with cerebral palsy may also have problems with speech, vision and hearing, intellectual difficulties and epilepsy. Health and therapy services are frequently required throughout life, and this care should be effective and evidence informed; however, accessing and adopting new research findings into day-to-day clinical practice is often delayed.

METHODS/DESIGN: This 3-year study employs a before and after design to evaluate if a multi-strategy intervention can improve research implementation among allied health professionals (AHPs) who work with children and young people with cerebral palsy and to establish if children's health outcomes can be improved by routine clinical assessment. The intervention comprises (1) knowledge brokering with AHPs, (2) access to an online research evidence library, (3) provision of negotiated evidence-based training and education, and (4) routine use of evidence-based measures with children and young people aged 3-18 years with cerebral palsy. The study is being implemented in four organisations, with a fifth organisation acting as a comparison site, across four Australian states. Effectiveness will be assessed using questionnaires completed by AHPs at baseline, 6, 12 and 24 months, and by monitoring the extent of use of evidence-based measures. Children's health outcomes will be evaluated by longitudinal analyses.

DISCUSSION: Government, policy makers and service providers all seek evidence-based information to support decision-making about how to distribute scarce resources, and families are seeking information to support intervention choices. This study will provide knowledge about what constitutes an efficient, evidence-informed service and which allied health interventions are implemented for children with cerebral palsy.

TRIAL REGISTRATION: Trial is not a controlled healthcare intervention and is not registered.