Introduction: Oral health care of older people in long-term care facilities is insufficient, stressing the need for clear evidence-based implementation strategies to improve oral care. In 2013, a systematic review was performed and new evidence was published. This study aimed to gain insights into implementation strategies used to promote or improve oral health care for older people in long-term care facilities, explore their effectiveness and uncover strategy content in behavioral change techniques, and report the differences between the current results and those of the 2013 study. Methods: A systematic review of the literature according to PRISMA guidelines and meta-analyses of implementation strategies were performed. Cochrane Library, PubMed, and CINAHL databases were searched for papers published between 2011 and 2023. Strategies were identified using the Coding Manual for Behavioral Change Techniques. Meta-analyses of oral health outcomes (“plaque” and “denture plaque”) were performed with random-effects models using R language for statistical computing. Results: 16 studies were included in the current results; 20 studies were included in the 2013 findings. More high-quality studies (67 %) were included in this review than in 2013 (47 %). Dental care professionals were involved in 14 of the 16 studies. Fourteen of the 16 studies used and/ or combined five or more different implementation strategies: knowledge, intention, awareness, self-efficacy, attitude, and facilitation of behavior. Implementation positively affected the knowledge and attitudes of the nursing staff; however, the oral health of older people did not necessarily improve. In the 2013 review, more studies indicated combined oral health measurements were effective (71 %) than in the current review (20 %–33 %). Meta-analysis of four studies on dental plaque (0—3 scale) showed a significant, statistically small mean difference of -.21 (CI -.36; -.07, Cohen's d -.29) between the control and treatment group. Meta-analysis of three studies on denture plaque (0—4 scale), showed a significant, statistically large mean difference of -.76 (CI -1.48; -.05, Cohen's d -.88). Conclusions: In this review, more implementation strategies and combinations were used to implement oral care in long-term care. Implementation strategies positively affected the knowledge and attitudes of nursing staff; however, the oral health of older people did not necessarily improve. Meta-analyses on plaque showed that oral care implementations are effective; for denture plaque, the effect size was large and thus may have more clinical value than for dental plaque.
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De aanwezigheid van de omgangscomponent en de machtscomponent wordt m.b.v. principale componenten analyse duidelijk aangetoond. De gemiddelde gedragsbeoordelingen van de respondent t.o.v. zowel succesleerling als puzzelleerling zijn op de omgangswerkwoorden aanzienlijk hoger dan op de machtswerkwoorden. De respondenten beschrijven hun gedrag dus meer in termen van omgangswerkwoorden dan in termen van machtswerkwoorden. Binnen de omgangswerkwoorden zijn de scores voor de succesleerling hoger dan die voor de puzzelleerling, terwijl binnen de machtswerkwoorden de scores van de puzzelleerling hoger zijn. De succesleerlingen gedragen zich volgens de respondenten meer in termen van omgangswerkwoorden en de puzzelleerlingen meer in termen van machtswerkwoorden. Er is sprake van een sekse-effect van de respondent: - de manlijke respondenten beoordelen hun eigen gedrag t.o.v. zowel succesleerlingen als puzzel leerlingen meer in termen van machtswerkwoorden dan vrouwelijke respondenten dat doen. - de succesleerling en de puzzelleerling scoren volgens de manlijke respondenten op de machtswerkwoorden hoger dan volgens de vrouwelijke respondenten. Voorts was er een effect van het wel of niet voor de klas staan: de docenten scoorden hun gedrag t.o.v. zowel succesleerling als puzzelleerling op de machtswerkwoorden hoger dan de nietdocenten.
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We introduce two novel methods for multivariate genome-wide-association meta-analysis (GWAMA) of related traits that correct for sample overlap. A broad range of simulation scenarios supports the added value of our multivariate methods relative to univariate GWAMA. We applied the novel methods to life satisfaction, positive affect, neuroticism, and depressive symptoms, collectively referred to as the well-being spectrum (Nobs = 2,370,390), and found 304 significant independent signals. Our multivariate approaches resulted in a 26% increase in the number of independent signals relative to the four univariate GWAMAs and in an ~57% increase in the predictive power of polygenic risk scores. Supporting transcriptome- and methylome-wide analyses (TWAS and MWAS, respectively) uncovered an additional 17 and 75 independent loci, respectively. Bioinformatic analyses, based on gene expression in brain tissues and cells, showed that genes differentially expressed in the subiculum and GABAergic interneurons are enriched in their effect on the well-being spectrum.
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Music interventions are used for stress reduction in a variety of settings because of the positive effects of music listening on both physiological arousal (e.g., heart rate, blood pressure, and hormonal levels) and psychological stress experiences (e.g., restlessness, anxiety, and nervousness). To summarize the growing body of empirical research, two multilevel meta-analyses of 104 RCTs, containing 327 effect sizes and 9,617 participants, were performed to assess the strength of the effects of music interventions on both physiological and psychological stress-related outcomes, and to test the potential moderators of the intervention effects. Results showed that music interventions had an overall significant effect on stress reduction in both physiological (d = .380) and psychological (d = .545) outcomes. Further, moderator analyses showed that the type of outcome assessment moderated the effects of music interventions on stress-related outcomes. Larger effects were found on heart rate (d = .456), compared to blood pressure (d = .343) and hormone levels (d = .349). Implications for stress-reducing music interventions are discussed.
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Policy analysis is a broad and versatile field of applied policy research and advice, where a multitude of perspectives and methods have developed. In this paper, we attempt to (re)structure the discipline in a single conceptual model. The model was derived on the basis of a review of relevant literature on policy analysis styles and a review of about 20 exemplary cases in the field of technology, policy and management. The model serves three purposes: understanding of policy analysis as a discipline, contribution to the design of new policy analysis methods and projects, and guidance for evaluating such methods and projects. The model identifies six activities and translates these into six underlying policy analytic styles. Each style implies different values, and calls for different criteria when it comes to evaluation. An important claim of the model is that, in practice, policy analysis consists of creatively combining these activities and styles.
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Evaluations of forensic observations considering activity level propositions are becoming more common place in forensic institutions. A measure that can be taken to interrogate the evaluation for robustness is called sensitivity analysis. A sensitivity analysis explores the sensitivity of the evaluation to the data used when assigning probabilities, or to the level of uncertainty surrounding a probability assignment, or to the choice of various assumptions within the model. There have been a number of publications that describe sensitivity analysis in technical terms, and demonstrate their use, but limited literature on how that theory can be applied in practice. In this work we provide some simplified examples of how sensitivity analyses can be carried out, when they are likely to show that the evaluation is sensitive to underlying data, knowledge or assumptions, how to interpret the results of sensitivity analysis, and how the outcome can be reported. We also provide access to an application to conduct sensitivity analysis.
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Damping constitutes a major source of uncertainty in dynamic analysis and an open issue to experimental and analytical research. After a thorough review of the current views and approaches existing in literature on damping and its appropriate modelling, this paper focuses on the implications of the available modelling options on analysis. As result of a series of considerations, a damping modelling solution for nonlinear dynamic analyses of cantilever RC walls is suggested within the frame of Direct Displacement-Based Design, supported by comparative analyses on wall structures.
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Background: Emergency department utilization has increased tremendously over the past years, which is accompanied by an increased necessity for emergency medicine research to support clinical practice. Important sources of evidence are systematic reviews (SRs) and meta-analyses (MAs), but these can only be informative provided their quality is sufficiently high, which can only be assessed if reporting is adequate. The purpose of this study was to assess the quality of reporting of SRs and MAs in emergency medicine using the PRISMA statement. Methods: The top five emergency medicine related journals were selected using the 5-year impact factor of the ISI Web of Knowledge of 2015. All SRs and MAs published in these journals between 2015 and 2016 were extracted and assessed independently by two reviewers on compliance with each item of the PRISMA statement. Results: The included reviews (n = 112) reported a mean of 18 ± 4 items of the PRISMA statement adequately. Reviews mentioning PRISMA adherence did not show better reporting than review without mention of adherence (mean 18.6 (SE 0.4) vs. mean 17.8 (SE 0.5); p = 0.214). Reviews published in journals recommending or requiring adherence to a reporting guideline showed better quality of reporting than journals without such instructions (mean 19.2 (SE 0.4) vs. mean 17.2 (SE 0.5); p = 0.001). Conclusion: There is room for improvement of the quality of reporting of SRs and MAs within the emergency medicine literature. Therefore, authors should use a reporting guideline such as the PRISMA statement. Active journal implementation, by requiring PRISMA endorsement, enhances quality of reporting.
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Active learning has become an increasingly popular method for screening large amounts of data in systematic reviews and meta-analyses. The active learning process continually improves its predictions on the remaining unlabeled records, with the goal of identifying all relevant records as early as possible. However, determining the optimal point at which to stop the active learning process is a challenge. The cost of additional labeling of records by the reviewer must be balanced against the cost of erroneous exclusions. This paper introduces the SAFE procedure, a practical and conservative set of stopping heuristics that offers a clear guideline for determining when to end the active learning process in screening software like ASReview. The eclectic mix of stopping heuristics helps to minimize the risk of missing relevant papers in the screening process. The proposed stopping heuristic balances the costs of continued screening with the risk of missing relevant records, providing a practical solution for reviewers to make informed decisions on when to stop screening. Although active learning can significantly enhance the quality and efficiency of screening, this method may be more applicable to certain types of datasets and problems. Ultimately, the decision to stop the active learning process depends on careful consideration of the trade-off between the costs of additional record labeling against the potential errors of the current model for the specific dataset and context.
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BackgroundICU patients lose muscle mass rapidly and maintenance of muscle mass may contribute to improved survival rates and quality of life. Protein provision may be beneficial for preservation of muscle mass and other clinical outcomes, including survival. Current protein recommendations are expert-based and range from 1.2 to 2.0 g/kg. Thus, we performed a systematic review and meta-analysis on protein provision and all clinically relevant outcomes recorded in the available literature.MethodsWe conducted a systematic review and meta-analyses, including studies of all designs except case control and case studies, with patients aged ≥18 years with an ICU stay of ≥2 days and a mean protein provision group of ≥1.2 g/kg as compared to <1.2 g/kg with a difference of ≥0.2 g/kg between protein provision groups. All clinically relevant outcomes were studied. Meta-analyses were performed for all clinically relevant outcomes that were recorded in ≥3 included studies.ResultsA total of 29 studies published between 2012 and 2022 were included. Outcomes reported in the included studies were ICU, hospital, 28-day, 30-day, 42-day, 60-day, 90-day and 6-month mortality, ICU and hospital length of stay, duration of mechanical ventilation, vomiting, diarrhea, gastric residual volume, pneumonia, overall infections, nitrogen balance, changes in muscle mass, destination at hospital discharge, physical performance and psychological status. Meta-analyses showed differences between groups in favour of high protein provision for 60-day mortality, nitrogen balance and changes in muscle mass.ConclusionHigh protein provision of more than 1.2 g/kg in critically ill patients seemed to improve nitrogen balance and changes in muscle mass on the short-term and likely 60-day mortality. Data on long-term effects on quality of life are urgently needed.
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