Your attention please! Careless responding as a threat to data quality

When I/O psychologists collect self-report data, they hope that every participant will carefully reflect on every questionnaire item. Unfortunately, this is not always the case: Datasets often include some participants who have responded carelessly to part—or all—of the study questionnaire (Meade & Craig, 2012). In this presentation I will discuss the detection and prevention of careless responding and I will identify the conditions that are most likely to produce careless responding. The following subsections provide an overview of my presentation. Careless responding occurs when research participants provide inaccurate data because they have failed to carefully read or comply with questionnaire instructions and item content (Huang, Curran, Keeney, Poposki, & DeShon, 2012). Because of its breadth, a variety of measures are needed to adequately capture careless responding. I will discuss several of these measures, including (a) infrequency indices, (b) inconsistency indices, (c) long string indices, (d) page time, and (e) self-reported carelessness (see Huang et al., 2012; Maniaci & Rogge, 2014; Meade & Craig, 2012). Research using undergraduate samples has found that roughly 12% of participants engage in egregious careless responding (Meade & Craig, 2012). Unfortunately, such levels of carelessness are sufficient to bias one’s research findings. An important question remains: Are unacceptable levels of careless responding present within applied datasets? As I will discuss in my presentation, applied datasets can contain high levels of careless responding. Meade and Craig (2012) discussed four potential causes of careless responding: (a) questionnaire length, (b) minimal researcher-participant social contact, (c) environmental distractions, and (d) and the lack of participant interest in the questionnaire content. I will discuss the degree to which these qualities are present within various applied situations. Participants are less likely to respond carelessly when careful responding is incentivized (Huang et al., 2012). I will discuss applied situations in which careful responding is inherently rewarded, and I will discuss how practitioners can use extrinsic rewards to encourage careful responding. This presentation will focus on the issues related to Millennials entering the workplace. There have been numerous articles written about the challenges that this generation faces, and presents, but there appear to be a lot of misconceptions about these individuals. This presentation will address the myths and the truths about the Millennial generation and the accompanying implications for work performance. This will be an interactive presentation and audience questions are welcomed

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

Decision-making: initiating insulin therapy for adults with diabetes

<b>AIM:</b> This paper is a report of a study to describe nurses' perceptions of decision-making and the evidence base for the initiation of insulin therapy. <b>BACKGROUND:</b> Several theoretical perspectives and professional's attributes underpin decision-making to commence insulin therapy. The management of type 2 diabetes is moving from secondary to primary care and this affects how clinical decisions are made, by whom and the evidence base for these decisions. <b>METHOD:</b> A postal survey was conducted with a stratified sample of 3478 Diabetes Specialist Nurses and Practice Nurses with a special interest in diabetes across the four countries of the United Kingdom. A total of 1310 valid responses were returned, giving a response rate of 37.7%. The questionnaire was designed for the study and pilot-tested before use. Responses were given using Likert-type scales. Data were collected during 2005 and 2006, and one reminder was sent. <b>RESULTS:</b> People with diabetes are seen as having little influence in decision-making. Consultant physicians appear to be influential in most decisions, and the nursing groups held varying perceptions of who made clinical decisions. Nurses' identified different responsibilities for those working solely in secondary care from those working in both community and secondary care. Practice nurses were not as involved as anticipated. <b>CONCLUSION:</b> Nurses working with people with diabetes need to encourage them to become more active partners in care. Clinical guidelines can assist in decision-making where nurses are least experienced in initiating insulin therapy

Rural Australian community pharmacists' views on complementary and alternative medicine: a pilot study

<p>Abstract</p> <p>Background</p> <p>Complementary and alternative medicines (CAMs) are being used increasingly across the world. In Australia, community pharmacists are a major supplier of these products but knowledge of the products and interactions with other medicines is poor. Information regarding the use of CAMs by metropolitan pharmacists has been documented by the National Prescribing Service (NPS) in Australia but the views of rural/regional community pharmacists have not been explored. The aim of this pilot study was to explore the knowledge, attitudes and information seeking of a cohort of rural community pharmacists towards CAMs and to compare the findings to the larger NPS study.</p> <p>Methods</p> <p>A cross sectional self-administered postal questionnaire was mailed to all community pharmacists in one rural/regional area of Australia. Using a range of scales, data was collected regarding attitudes, knowledge, information seeking behaviour and demographics.</p> <p>Results</p> <p>Eighty eligible questionnaires were returned. Most pharmacists reported knowing that they should regularly ask consumers if they are using CAMs but many lacked the confidence to do so. Pharmacists surveyed for this study were more knowledgeable in regards to side effects and interactions of CAMs than those in the NPS survey. Over three quarters of pharmacists surveyed reported sourcing CAM information at least several times a month. The most frequently sought information was drug interactions, dose, contraindications and adverse effects. A variety of resources were used to source information, the most popular source was the internet but the most useful resource was CAM text books.</p> <p>Conclusions</p> <p>Pharmacists have varied opinions on the use of CAMs and many lack awareness of or access to good quality CAMs information. Therefore, there is a need to provide pharmacists with opportunities for further education. The data is valuable in assisting interested stakeholders with the development of initiatives to address the gaps in attitudes, knowledge and to improve effectiveness of information seeking behaviour.</p

Surgical site infection after gastrointestinal surgery in high-income, middle-income, and low-income countries: a prospective, international, multicentre cohort study

Background: Surgical site infection (SSI) is one of the most common infections associated with health care, but its importance as a global health priority is not fully understood. We quantified the burden of SSI after gastrointestinal surgery in countries in all parts of the world. Methods: This international, prospective, multicentre cohort study included consecutive patients undergoing elective or emergency gastrointestinal resection within 2-week time periods at any health-care facility in any country. Countries with participating centres were stratified into high-income, middle-income, and low-income groups according to the UN's Human Development Index (HDI). Data variables from the GlobalSurg 1 study and other studies that have been found to affect the likelihood of SSI were entered into risk adjustment models. The primary outcome measure was the 30-day SSI incidence (defined by US Centers for Disease Control and Prevention criteria for superficial and deep incisional SSI). Relationships with explanatory variables were examined using Bayesian multilevel logistic regression models. This trial is registered with ClinicalTrials.gov, number NCT02662231. Findings: Between Jan 4, 2016, and July 31, 2016, 13 265 records were submitted for analysis. 12 539 patients from 343 hospitals in 66 countries were included. 7339 (58·5%) patient were from high-HDI countries (193 hospitals in 30 countries), 3918 (31·2%) patients were from middle-HDI countries (82 hospitals in 18 countries), and 1282 (10·2%) patients were from low-HDI countries (68 hospitals in 18 countries). In total, 1538 (12·3%) patients had SSI within 30 days of surgery. The incidence of SSI varied between countries with high (691 [9·4%] of 7339 patients), middle (549 [14·0%] of 3918 patients), and low (298 [23·2%] of 1282) HDI (p < 0·001). The highest SSI incidence in each HDI group was after dirty surgery (102 [17·8%] of 574 patients in high-HDI countries; 74 [31·4%] of 236 patients in middle-HDI countries; 72 [39·8%] of 181 patients in low-HDI countries). Following risk factor adjustment, patients in low-HDI countries were at greatest risk of SSI (adjusted odds ratio 1·60, 95% credible interval 1·05–2·37; p=0·030). 132 (21·6%) of 610 patients with an SSI and a microbiology culture result had an infection that was resistant to the prophylactic antibiotic used. Resistant infections were detected in 49 (16·6%) of 295 patients in high-HDI countries, in 37 (19·8%) of 187 patients in middle-HDI countries, and in 46 (35·9%) of 128 patients in low-HDI countries (p < 0·001). Interpretation: Countries with a low HDI carry a disproportionately greater burden of SSI than countries with a middle or high HDI and might have higher rates of antibiotic resistance. In view of WHO recommendations on SSI prevention that highlight the absence of high-quality interventional research, urgent, pragmatic, randomised trials based in LMICs are needed to assess measures aiming to reduce this preventable complication

Stop with the questions already! Does data quality suffer for scales positioned near the end of a lengthy questionnaire?

Supplementary materials for Dr. Nathan Bowling's, "Stop with the questions already! Does data quality suffer for scales positioned near the end of a lengthy questionnaire?

Essentials of Job Attitudes and Other Workplace Psychological Constructs

https://digitalcommons.montclair.edu/all_books/1452/thumbnail.jp

Prob-Max n: Playing N-Player Games with Opponent Models

Much of the work on opponent modeling for game tree search has been unsuccessful. In two-player, zero-sum games, the gains from opponent modeling are often outweighed by the cost of modeling. Opponent modeling solutions simply cannot search as deep as the highly optimized minimax search with alpha-beta pruning. Recent work has begun to look at the need for opponent modeling in n-player or generalsum games. We introduce a probabilistic approach to opponent modeling in n-player games called prob-max n, which can robustly adapt to unknown opponents. We implement prob-max n in the game of Spades, showing that prob-max n is highly effective in practice, beating out the max n and softmax n algorithms when faced with unknown opponents. Introduction and Backgroun

Euclidean Heuristic Optimization

We pose the problem of constructing good search heuristics as an optimization problem: minimizing the loss between the true distances and the heuristic estimates subject to admissibility and consistency constraints. For a well-motivated choice of loss function, we show performing this optimization is tractable. In fact, it corresponds to a recently proposed method for dimensionality reduction. We prove this optimization is guaranteed to produce admissible and consistent heuristics, generalizes and gives insight into differential heuristics, and show experimentally that it produces strong heuristics on problems from three distinct search domains