Project description:Conservation increasingly seeks knowledge of human behaviour. However, securing reliable data can be challenging, particularly if the behaviour is illegal or otherwise sensitive. Specialised questioning methods such as Randomised Response Techniques (RRTs) are increasingly used in conservation to provide greater anonymity, increase response rates, and reduce bias. A rich RRT literature exists, but successfully navigating it can be challenging. To help conservationists access this literature, we summarise the various RRT designs available and conduct a systematic review of empirical applications of RRTs within (n = 32), and beyond conservation (n = 66). Our results show increased application of RRTs in conservation since 2000. We compare the performance of RRTs against known prevalence of the sensitive behaviour and relative to other questioning techniques to assess how successful RRTs are at reducing bias (indicated by securing higher estimates). Findings suggest that RRT applications in conservation were less likely than those in other disciplines to provide prevalence estimates equal to, or higher than those derived from direct questions. Across all disciplines, we found reports of non-compliance with RRT instructions were common, but rarely accounted for in study design or analysis. For the first time, we provide conservationists considering RRTs with evidence on what works, and provide guidance on how to develop robust designs suitable for conservation research contexts. We highlight when alternate methods should be used, how to increase design efficiency and improve compliance with RRT instructions. We conclude RRTs are a useful tool, but their performance depends on careful design and implementation.
Project description:Most diseases arise not purely through genetic abnormalities nor purely through environmental causes, but as "complex" conditions brought about by the combined effects of genetic susceptibility factors, nongenetic experiences and exposures, and bad luck. Finding simple models capable of both characterizing such joint effects and providing new insight into pathogenesis remains an ongoing challenge in etiologic epidemiology. Additive null models can capture certain pure forms of independent etiologic effects in studies of rare conditions and can be useful for predicting possible effects of interventions. The concept of exposure modification is here proposed as useful, particularly in thinking about biologic interactions between exposures and genetic variants. Openness to parsimonious joint models and the insights they can provide is key to advancing our understanding of etiology.
Project description:The cultural keystone species theory predicts plant species that are culturally important, play a role in resource acquisition, fulfil a psycho-socio-cultural function within a given culture, have high use-value, have an associated naming and terminology in a native language, and a high level of species irreplaceability qualify for cultural keystone species designation. This theory was proposed as a framework for understanding relationships between human societies and species that are integral to their culture. A greater understanding of the dynamic roles of cultural keystones in both ecosystem processes and cultural societies is a foundation for facilitating biocultural conservation. Given such important direct conservation implications of the cultural keystone species theory, we reviewed the use of this theoretical framework across the literature to identify new directions for research. Most studies often emphasized the role of cultural keystones species in human societies but failed to provide a robust and reproducible measure of cultural keystone species status or direct test of the predictions of the theory and underemphasized their potential roles in ecosystem processes. To date, no studies that mentioned cultural keystone species tested the predictions of the theory. Only 4.4% provided a measure for cultural keystone status and 47.4% have cited or applied keystone designation to a given species without providing a reproducible measure for cultural keystone species. Studies that provided a measure for cultural keystone species primarily occurred in North America while few of these studies occurred in Australia and Europe with none occurring in Africa. As such, most cultural keystone species have been designated as such qualitatively based on researcher subjectivity while other studies have designated keystone species with quantitative indices of cultural importance, often incorporating researcher biases or measuring a few of the cultural keystone status predictors rather than all of them, indicating a lack of consensus in identifying cultural keystone species. Thus, we pose the need for a paradigm shift toward the development of serious and systematic approaches for keystone designation.
Project description:BackgroundMorning walk rounds have lost some of their engagement while remaining a useful and valued practice.AimWe created a pilot study to evaluate the impact on rounds of learning to asking a variety of different questions.SettingOne-hour intervention sessions were voluntarily offered to members of the Department of Medicine and taught by an expert in the question, listen, and respond method.ParticipantsParticipants included attendings and residents in Internal Medicine on medical teams.Program descriptionQuestionnaires were collected on six pre-intervention and six post-intervention days. Nine months later, an anonymous online survey was sent to participants asking about their use of a wider variety of questions.Program evaluationTwo hundred eight physicians (residents 175 (45.5%), attending physicians 25 (27.7%)) filled out pre-intervention surveys. One hundred eighty-one physicians (residents 155 (40.3%), attending physicians 18 (20%)) filled out post-intervention surveys. When survey responses from the attendings and residents on the medical teams were combined, post-intervention rounds were perceived as more worthwhile (1.99 pre-intervention and 1.55 post-intervention, [95% confidence interval 1.831-2.143]) (p?<?0.001) and more engaging (1.68 pre-intervention and 1.30 post-intervention, [95% confidence interval 1.407-1.688]) (p?<?0.001).Non-medical teams' survey responses did not change. Patient census data indicated no significant difference in the hospital's census on the pre- and post-intervention dates. Spontaneous suggestions for improving rounds came largely from the residents and included teaching points, clinical pearls, patient focus, more interactive, increased dedicated time for teaching, inclusive/multidisciplinary, questions, and evidence-based teaching. Of the participants who answered the online survey 9 months later, 75% (6/8) reported that they "actually asked a wider variety of types of questions."DiscussionThis pilot study indicates that the 1-h intervention of learning to ask a variety of different questions is associated with rounds that are rated as more worthwhile and engaging by the medical teams.
Project description:Although much is known about smoking cessation behavior, the vast majority of research has not assessed menthol as an independent factor. The objective of this review is to assess the effects, if any, that use of menthol cigarettes has on smoking cessation success in adults and youth. A total of 20 articles are included in this review. Although some studies have found that menthol smokers have less success in quitting smoking, others fail to find significant differences between menthol and non-menthol smokers. Some clinical trials evaluating the efficacy of various cessation treatments have suggested that menthol smokers have poorer outcomes, however two secondary data analysis studies (which used the same original dataset) failed to find any difference in success rate associated with particular treatments. Although there is some suggestion that smoking menthol cigarettes is associated with worse cessation outcomes, differences are not always found. However, if there was a difference, it was always in the direction of worse outcomes for menthol smokers. Given that Black/African American smokers prefer menthol cigarettes more than White smokers, possible interactions with race/ethnicity are discussed.
Project description:OBJECTIVES:The question-behavior effect (QBE) refers to whether asking people questions can result in changes in behavior. Such changes in behavior can lead to bias in trials. This study aims to update a systematic review of randomized controlled trials investigating the QBE, in light of several large preregistered studies being published. STUDY DESIGN AND SETTING:A systematic search for newly published trials covered 2012 to July 2018. Eligible trials randomly allocated participants to measurement vs. non-measurement control conditions or to different forms of measurement. Studies that reported health-related behavior as outcomes were included. RESULTS:Forty-three studies (33 studies from the original systematic review and 10 new studies) compared measurement vs. no measurement. An overall small effect was found using a random effect model: standardized mean difference = 0.06 (95% CI: 0.02-0.09), n = 104,388. Statistical heterogeneity was substantial (I2 = 54%). In an analysis restricted to studies with a low risk of bias, the QBE remained small but significant. There was positive evidence of publication bias. CONCLUSION:This update shows a small but significant QBE in trials with health-related outcomes but with considerable unexplained heterogeneity. Future trials with lower risk of bias are needed, with preregistered protocols and greater attention to blinding.
Project description:Prediction models assist in stratifying and quantifying an individual's risk of developing a particular adverse outcome, and are widely used in cardiovascular and cancer medicine. Whether these approaches are accurate in predicting self-harm and suicide has been questioned. We searched for systematic reviews in the suicide risk assessment field, and identified three recent reviews that have examined current tools and models derived using machine learning approaches. In this clinical review, we present a critical appraisal of these reviews, and highlight three major limitations that are shared between them. First, structured tools are not compared with unstructured assessments routine in clinical practice. Second, they do not sufficiently consider a range of performance measures, including negative predictive value and calibration. Third, the potential role of these models as clinical adjuncts is not taken into consideration. We conclude by presenting the view that the current role of prediction models for self-harm and suicide is currently not known, and discuss some methodological issues and implications of some machine learning and other analytic techniques for clinical utility.
Project description:BACKGROUND:This paper introduces a tool for streamlining data integration in rehabilitation science, the Centralized Open-Access Rehabilitation database for Stroke (SCOAR), which allows researchers to quickly visualize relationships among variables, efficiently share data, generate hypotheses, and enhance clinical trial design. METHODS:Bibliographic databases were searched according to inclusion criteria leaving 2,892 titles that were further screened to 514 manuscripts to be screened by full text, leaving 215 randomized controlled trials (RCTs) in the database (489 independent groups representing 12,847 patients). Demographic, methodological, and statistical data were extracted by independent coders and entered into SCOAR. RESULTS:Trial data came from 114 locations in 27 different countries and represented patients with a wide range of ages, 62?year [41; 85] [shown as median (range)] and at various stages of recovery following their stroke, 141?days [1; 3372]. There was considerable variation in the dose of therapy that patients received, 20?h [0; 221], over interventions of different durations, 28?days [10; 365]. There was also a lack of common data elements (CDEs) across trials, but this lack of CDEs was most pronounced for baseline assessments of patient impairment and severity of stroke. CONCLUSION:Data integration across hundreds of RCTs allows clinicians and researchers to quickly visualize data from the history of the field and lays the foundation for making SCOAR a living database to which researchers can upload new data as trial results are published. SCOAR is a useful tool for clinicians and researchers that will facilitate data visualization, data sharing, the finding of relevant past studies, and the design of clinical trials by enabling more accurate and comprehensive power analyses. Furthermore, these data speak to the need for CDEs specific to stroke rehabilitation in randomized controlled trials. PROSPERO 2014:CRD42014009010.
Project description:Electronic cigarettes (ECIGs) are a relatively new class of tobacco products and a subject of much debate for scientists and policymakers worldwide. Objective data that address the ECIG risk-benefit ratio for individual and public health are needed, and addressing this need requires a multidisciplinary approach that spans several areas of psychology as well as chemistry, toxicant inhalation, and physiology. This multidisciplinary approach would benefit from methods that are reliable, valid, and swift. For this reason, we formed a multidisciplinary team to develop methods that could answer questions about ECIGs and other potential modified risk tobacco products. Our team includes scientists with expertise in psychology (clinical, community, and experimental) and other disciplines, including aerosol research, analytical chemistry, biostatistics, engineering, internal medicine, and public health. The psychologists on our team keep other members focused on factors that influence individual behavior, and other team members keep the psychologists aware of other issues, such as product design. Critically, all team members are willing to extend their interests beyond the boundaries of their discipline to collaborate effectively with the shared goal of producing the rigorous science needed to inform empirically based tobacco policy. In addition, our trainees gain valuable knowledge from these collaborations and learn that other disciplines are accessible, exciting, and can enhance their own research. Multidisciplinary work presents challenges: learning other scientists' languages and staying focused on our core mission. Overall, our multidisciplinary team has led to several major findings that inform the scientific, regulatory, and public health communities about ECIGs and their effects. (PsycINFO Database Record (c) 2019 APA, all rights reserved).