How to use the International Classification of Functioning, Disability and Health as a reference system for comparative evaluation and standardized reporting of rehabilitation interventions

Rehabilitation aims to optimize functioning of persons experiencing functioning limitations. As such the comparative evaluation of rehabilitation interventions relies on the analysis of the differences between the change in patient functioning after a specific rehabilitation intervention versus the change following another intervention. A robust health information reference system that can facilitate the comparative evaluation of changes in functioning in rehabilitation studies and the standardized reporting of rehabilitation interventions is the International Classification of Functioning, Disability and Health (ICF). The objective of this paper is to present recommendations that Cochrane Rehabilitation could adopt for using the ICF in rehabilitation studies by: 1) defining the functioning categories to be included in a rehabilitation study; 2) specifying selected functioning categories and selecting suitable data collection instruments; 3) examining aspects of functioning that have been documented in a study; 4) reporting functioning data collected with various data collection instruments; and 5) communicating results in an accessible, meaningful and easily understandable way. The authors provide examples of concrete studies that underscore these recommendations, whereby also em-phasizing the need for future research on the implementation of specific recommendations, e.g. in meta-analysis in systematic literature reviews. Furthermore, the paper outlines how the ICF can complement or be integrated in established Cochrane and rehabilitation research structures and methods, e.g. use of standard mean difference to compare cross-study data collected using different measures, in developing core outcome sets for rehabilitation, and the use of the PICO model. © 2019 EDIZIONI MINERVA MEDICA

Understanding the Elephant: The Discourse Approach to Boundary Identification and Corpus Construction for Theory Review Articles

The goal of a review article is to present the current state of knowledge in a research area. Two important initial steps in writing a review article are boundary identification (identifying a body of potentially relevant past research) and corpus construction (selecting research manuscripts to include in the review). We present a theory-as-discourse approach, which (1) creates a theory ecosystem of potentially relevant prior research using a citation-network approach to boundary identification; and (2) identifies manuscripts for consideration using machine learning or random selection. We demonstrate an instantiation of the theory as discourse approach through a proof-of-concept, which we call the automated detection of implicit theory (ADIT) technique. ADIT improves performance over the conventional approach as practiced in past technology acceptance model reviews (i.e., keyword search, sometimes manual citation chaining); it identifies a set of research manuscripts that is more comprehensive and at least as precise. Our analysis shows that the conventional approach failed to identify a majority of past research. Like the three blind men examining the elephant, the conventional approach distorts the totality of the phenomenon. ADIT also enables researchers to statistically estimate the number of relevant manuscripts that were excluded from the resulting review article, thus enabling an assessment of the review article’s representativeness

From Theory to Intervention: Mapping Theoretically Derived Behavioural Determinants to Behaviour Change Techniques

Theory provides a helpful basis for designing interventions to change behaviour but offers little guidance on how to do this. This paper aims to illustrate methods for developing an extensive list of behaviour change techniques (with definitions) and for linking techniques to theoretical constructs. A list of techniques and definitions was generated from techniques published in two systematic reviews, supplemented by "brainstorming" and a systematic search of nine textbooks used in training applied psychologists. Inter-rater reliability of extracting the techniques and definitions from the textbooks was assessed. Four experts judged which techniques would be effective in changing 11 theoretical constructs associated with behaviour change. Thirty-five techniques identified in the reviews were extended to 53 by brainstorming and to 137 by consulting textbooks. Agreement for the 53 definitions was 74.7 per cent (15.4% cells completed and 59.3% cells empty for both raters). Agreement about the link between the 35 techniques and theoretical constructs was 71.7 per cent of 385 judgments (12.2% agreement that effective and 59.5% agreement that not effective). This preliminary work demonstrates the possibility of developing a comprehensive, reliable taxonomy of techniques linked to theory. Further refinement is needed to eliminate redundancies, resolve uncertainties, and complete technique definitions.Institute of Applied Health Sciences, Chief Scientist Office of the Scottish Government Health Directive, NHS NIHR Academic Unit Fundin

Guidelines for Comprehensive Fiscal Sponsorship

This paper offers administrative, financial, and legal best practices for fiscal sponsorship arrangements; it was developed by a subgroup of fiscal sponsors practicing comprehensive fiscal sponsorship, many of whom work with the mission of advancing social justice

A proposed approach to monitor private-sector policies and practices related to food environments, obesity and non-communicable disease prevention

Private-sector organizations play a critical role in shaping the food environments of individuals and populations. However, there is currently very limited independent monitoring of private-sector actions related to food environments. This paper reviews previous efforts to monitor the private sector in this area, and outlines a proposed approach to monitor private-sector policies and practices related to food environments, and their influence on obesity and non-communicable disease (NCD) prevention. A step-wise approach to data collection is recommended, in which the first (‘minimal’) step is the collation of publicly available food and nutrition-related policies of selected private-sector organizations. The second (‘expanded’) step assesses the nutritional composition of each organization’s products, their promotions to children, their labelling practices, and the accessibility, availability and affordability of their products. The third (‘optimal’) step includes data on other commercial activities that may influence food environments, such as political lobbying and corporate philanthropy. The proposed approach will be further developed and piloted in countries of varying size and income levels. There is potential for this approach to enable national and international benchmarking of private-sector policies and practices, and to inform efforts to hold the private sector to account for their role in obesity and NCD prevention

Detecting Sockpuppets in Deceptive Opinion Spam

This paper explores the problem of sockpuppet detection in deceptive opinion spam using authorship attribution and verification approaches. Two methods are explored. The first is a feature subsampling scheme that uses the KL-Divergence on stylistic language models of an author to find discriminative features. The second is a transduction scheme, spy induction that leverages the diversity of authors in the unlabeled test set by sending a set of spies (positive samples) from the training set to retrieve hidden samples in the unlabeled test set using nearest and farthest neighbors. Experiments using ground truth sockpuppet data show the effectiveness of the proposed schemes.Comment: 18 pages, Accepted at CICLing 2017, 18th International Conference on Intelligent Text Processing and Computational Linguistic