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Background: Over the last four decades, the health status of Maldivian people improved considerably, as reflected in child and maternal mortality indicators and the eradication or control of many communicable diseases. However, changing disease patterns are now undermining these successes, so the local public health practitioners need new skills to perform effectively in this changing environment. To address these needs, in 2013 the Faculty of Health Sciences of the Maldives National University developed the country's first Master of Public Health (MPH) program., Methods: The process commenced with a wide scoping exercise and an analysis of the curricular structure of MPH programs of high-ranking universities. Thereafter, a stakeholder consultation using consensus methods reached agreement on overall course structure and the competencies required for local MPH graduates. Subsequently, a working group developed course descriptors and identified local public health research priorities, which could be addressed by MPH students., Results: Ten semistructured interviews explored specific training needs of prospective MPH students, key public health competencies required by local employers and preferred MPH training models. The recommendations informed a nominal group meeting, where participants agreed on MPH core competencies, overall curricular structure and core subjects. The 17 public health electives put forward by the group were prioritized using an online Delphi process. Participants ranked them by their propensity to address local public health needs and the locally available teaching expertise. The first student cohort commenced their MPH studies in January 2014., Conclusion: Consensus methods allowed a broad stakeholder engagement with public health curriculum development and the creation of a country-specific curriculum, informed by local realities and needs.

Abstract: Context: Adequate symptom management is essential to ensure quality cancer care, but symptom management is not always evidence based. Adapting and automating national guidelines for use at the point of care may enhance use by clinicians. Objectives: This article reports on a process of adapting research evidence for use in a clinical decision support system that provided individualized symptom management recommendations to clinicians at the point of care. Methods: Using a modified ADAPTE process, panels of local experts adapted national guidelines and integrated research evidence to create computable algorithms with explicit recommendations for management of the most common symptoms (pain, fatigue, dyspnea, depression, and anxiety) associated with lung cancer. Results: Small multidisciplinary groups and a consensus panel, using a nominal group technique, modified and subsequently approved computable algorithms for fatigue, dyspnea, moderate pain, severe pain, depression, and anxiety. The approved algorithms represented the consensus of multidisciplinary clinicians on pharmacological and behavioral interventions tailored to the patient's age, comorbidities, laboratory values, current medications, and patient-reported symptom severity. Algorithms also were reconciled with one another to enable simultaneous management of several symptoms. Conclusion: A modified ADAPTE process and nominal group technique enabled the development and approval of locally adapted computable algorithms for individualized symptom management in patients with lung cancer. The process was more complex and required more time and resources than initially anticipated, but it resulted in computable algorithms that represented the consensus of many experts. [Copyright &y& Elsevier]

Background: Guideline developers use different consensus methods to develop evidence-based clinical practice guidelines. Previous research suggests that existing guideline development techniques are subject to methodological problems and are logistically demanding. Guideline developers welcome new methods that facilitate a methodologically sound decision-making process. Systems that aggregate knowledge while participants play a game are one class of human computation applications. Researchers have already proven that these games with a purpose are effective in building common sense knowledge databases. Objective: We aimed to evaluate the feasibility of a new consensus method based on human computation techniques compared to an informal face-to-face consensus method. Methods: We set up a randomized design to study 2 different methods for guideline development within a group of advanced students completing a master of nursing and obstetrics. Students who participated in the trial were enrolled in an evidence-based health care course. We compared the Web-based method of human-based computation (HC) with an informal face-to-face consensus method (IC). We used 4 clinical scenarios of lower back pain as the subject of the consensus process. These scenarios concerned the following topics: (1) medical imaging, (2) therapeutic options, (3) drugs use, and (4) sick leave. Outcomes were expressed as the amount of group (dis)agreement and the concordance of answers with clinical evidence. We estimated within-group and between-group effect sizes by calculating Cohen's d. We calculated within-group effect sizes as the absolute difference between the outcome value at round 3 and the baseline outcome value, divided by the pooled standard deviation. We calculated between-group effect sizes as the absolute difference between the mean change in outcome value across rounds in HC and the mean change in outcome value across rounds in IC, divided by the pooled standard deviation. We analyzed statistical significance of within-group changes between round 1 and round 3 using the Wilcoxon signed rank test. We assessed the differences between the HC and IC groups using Mann-Whitney U tests. We used a Bonferroni adjusted alpha level of .025 in all statistical tests. We performed a thematic analysis to explore participants' arguments during group discussion. Participants completed a satisfaction survey at the end of the consensus process. Results: Of the 135 students completing a master of nursing and obstetrics, 120 participated in the experiment. We formed 8 HC groups (n=64) and 7 IC groups (n=56). The between-group comparison demonstrated that the human computation groups obtained a greater improvement in evidence scores compared to the IC groups, although the difference was not statistically significant. The between-group effect size was 0.56 (P=.30) for the medical imaging scenario, 0.07 (P=.97) for the therapeutic options scenario, and 0.89 (P=.11) for the drug use scenario. We found no significant differences in improvement in the degree of agreement between HC and IC groups. Between-group comparisons revealed that the HC groups showed greater improvement in degree of agreement for the medical imaging scenario (d=0.46, P=.37) and the drug use scenario (d=0.31, P=.59). Very few evidence arguments (6%) were quoted during informal group discussions. Conclusions: Overall, the use of the IC method was appropriate as long as the evidence supported participants' beliefs or usual practice, or when the availability of the evidence was sparse. However, when some controversy about the evidence existed, the HC method outperformed the IC method. The findings of our study illustrate the importance of the choice of the consensus method in guideline development. Human computation could be an acceptable methodology for guideline development specifically for scenarios in which the evidence shows no resonance with participants' beliefs. Future research is needed to confirm the results of this study and to establish practical significance in a controlled setting of multidisciplinary guideline panels during real-life guideline development. [ABSTRACT FROM AUTHOR]

Many of the steps in phylogenetic reconstruction can be confounded by "rogue” taxa—taxa that cannot be placed with assurance anywhere within the tree, indeed, whose location within the tree varies with almost any choice of algorithm or parameters. Phylogenetic consensus methods, in particular, are known to suffer from this problem. In this paper, we provide a novel framework to define and identify rogue taxa. In this framework, we formulate a bicriterion optimization problem, the relative information criterion, that models the net increase in useful information present in the consensus tree when certain taxa are removed from the input data. We also provide an effective greedy heuristic to identify a subset of rogue taxa and use this heuristic in a series of experiments, with both pathological examples from the literature and a collection of large biological data sets. As the presence of rogue taxa in a set of bootstrap replicates can lead to deceivingly poor support values, we propose a procedure to recompute support values in light of the rogue taxa identified by our algorithm; applying this procedure to our biological data sets caused a large number of edges to move from "unsupported” to "supported” status, indicating that many existing phylogenies should be recomputed and reevaluated to reduce any inaccuracies introduced by rogue taxa. We also discuss the implementation issues encountered while integrating our algorithm into RAxML v7.2.7, particularly those dealing with scaling up the analyses. This integration enables practitioners to benefit from our algorithm in the analysis of very large data sets (up to 2,500 taxa and 10,000 trees, although we present the results of even larger analyses). [ABSTRACT FROM PUBLISHER]

Objective: To assess quality of care indicators for benign prostatic hyperplasia (BPH), and to evaluate their strengths and weaknesses for incorporation into health information systems., Design: Structured expert meeting, using procedures adapted from the nominal group techniques and the Rand consensus method., Setting: Valencian School of Health Studies., Participants And/or Contexts: Forty panellists (74% doctors, 70% from primary care settings) with experience in the management of BPH from 15 departments of the Valencia Health Agency., Method: Three workshops were held simultaneously (examination and diagnosis, drug therapy, and appropriateness and results), and the 15 quality indicators selected by the coordination group were assessed., Results: Eleven of the 15 indicators scored in the range of high relevance. The 5 best rated were: the use of alpha-blockers + 5-alpha reductase inhibitor from certain severity level, digital rectal examination in the initial assessment, follow-up with the International Prostate Symptoms Score (IPSS), the rate of urgent catheterization in Hospital Accident & Emergency Units, initial assessment with the IPSS and the use of alpha-blockers prior to catheter removal for acute retention of urine., Conclusions: Some of the assessed indicators can be useful for incorporation into health information systems., (Copyright © 2013 Elsevier España, S.L. All rights reserved.)

Introduction: Encouraged by the change in licensing regulations the practical professional skills in Germany received a higher priority and are taught in medical schools therefore increasingly. This created the need to standardize the process more and more. On the initiative of the German skills labs the German Medical Association Committee for practical skills was established and developed a competency-based catalogue of learning objectives, whose origin and structure is described here. Goal of the catalogue is to define the practical skills in undergraduate medical education and to give the medical schools a rational planning basis for the necessary resources to teach them., Methods: Building on already existing German catalogues of learning objectives a multi-iterative process of condensation was performed, which corresponds to the development of S1 guidelines, in order to get a broad professional and political support., Results: 289 different practical learning goals were identified and assigned to twelve different organ systems with three overlapping areas to other fields of expertise and one area of across organ system skills. They were three depths and three different chronological dimensions assigned and the objectives were matched with the Swiss and the Austrian equivalent., Discussion: This consensus statement may provide the German faculties with a basis for planning the teaching of practical skills and is an important step towards a national standard of medical learning objectives., Looking Ahead: The consensus statement may have a formative effect on the medical schools to teach practical skills and plan the resources accordingly.