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Building-Integrated Greenery systems, i.e., green roofs, walls, and facades, are Nature-based Solutions that make possible the renaturing of cities when there is no room for traditional greenery solutions. These green systems provide several ecosystem services at both the building and city level, such as urban heat island effect mitigation and noise reduction, support for biodiversity, runoff control, thermal and acoustic insulation, etc. However, once implemented in real cases, their impact is almost never evaluated. This fact limits the possibility of carrying out cost-benefit analyses that contribute to justifying their long-term maintenance, thus putting at risk their long-term sustainability and consequently the provision of benefits. Unlike existing approaches, the method presented here offers a comprehensive and practical tool that addresses the gap in BIG systems' impact evaluation, facilitating informed decision-making and promoting the long-term sustainability of BIG systems.â¢In its design, the current references at European and global level for building-integrated systems impact assessment has been considered.â¢It is easily replicable in any real project and enables the collaboration of involved stakeholders.â¢The method is unprecedented and allows a holistic assessment of the impact of BIG in real cases, in terms of ecosystem services provided.
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BACKGROUND: Fragility Index (FI) is increasingly used to assess robustness of statistically significant p-values reported in randomized controlled trials (RCTs). FI represents the lowest number of non-events changed to events that would make study findings non-significant. This methodological survey was designed to assess the fragility of the evidence for extended VTEp following major abdominopelvic surgery. METHODS: MEDLINE, Embase, and CENTRAL were searched from inception to November 2023. RCTs with parallel, double-armed, superiority design comparing extended VTEp for patients undergoing major abdominopelvic surgery to controls with at least one statistically significant dichotomous outcome were included. Walsh et al.'s method of calculating FI was utilized. RESULTS: After review of 611 citations, 6 RCTs were identified with 12 statistically significant outcomes between groups. The mean number of patients randomized per RCT was 419 (SD 176). The median FI was 1.5 (range: 1-4). The number of patients lost to follow-up was greater than the FI for 10/12 (83.3 â%) outcomes. CONCLUSIONS: Statistically significant differences reported in RCTs evaluating extended VTEp following major abdominopelvic surgery are not robust.
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Migration forecasts are crucial for proactive immigration and integration management. While the demand for accurate migration forecasts continues to grow, the current state of migration forecasting is still unsatisfactory, because they tend to lack precision. We introduce an alternative method to forecast migration movements: prediction markets. While prediction markets are mainly unknown in migration studies, they are established in the political economy of forecasting election outcomes. For its application to a complex phenomenon in a more constrained information environment such as migration movements, we argue that prediction markets allow to balance complementarities of current qualitative and quantitative approaches if they provide solutions to avoid thin trading and integrate expert knowledge into the market. We apply the prediction market to forecast immigration in four West European countries in 2020 and find encouraging results. We discuss the strengths and limitations of prediction markets to migration forecasting, including ethical considerations, and guide its future application. Supplementary Information: The online version contains supplementary material available at 10.1186/s40878-024-00404-0.
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OBJECTIVES: To evaluate the psychometric properties of different factorial models of the Medical Outcomes Study Social Support Survey (MOS-SSS) and screen the frequency of social support in older Brazilians. METHOD: Methodological study. Five factorial models of the MOS-SSS were tested for their validity and reliability using three Brazilian samples from different locations in the country. The factorial invariance was assessed across locations using multigroup analysis. The global average score was calculated. RESULTS: A total of 1574 older people participated in the study. For all models, there was adequate factorial and convergent validity and good reliability; the discriminant validity was not achieved. Therefore, a second-order hierarchical model was proposed and showed validity, reliability and invariance across samples. In the three Brazilian samples, participants presented high frequency of social support. CONCLUSION: A second-order hierarchical model was fitted the Brazilian samples, allowing the calculation of the global score of social support, which was high among the participants. IMPLICATIONS FOR PRACTICE: The MOS-SSS assesses social support levels among older individuals in community or clinical settings. Nurses can tailor interventions based on scale outcomes for personalised care for older people.
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Psicometría , Apoyo Social , Humanos , Brasil , Anciano , Femenino , Masculino , Reproducibilidad de los Resultados , Encuestas y Cuestionarios/normas , Anciano de 80 o más Años , Evaluación de Resultado en la Atención de Salud , Persona de Mediana EdadRESUMEN
Ponatinib is approved for use in patients with chronic myeloid leukemia (CML) who are resistant to or intolerant to prior tyrosine kinase inhibitor (TKI) therapy. Given that ponatinib can induce significant cardiotoxicity when taken, and that most Chinese medicines have cardioprotective effects, it is possible to administer them in combination in clinic to alleviate adverse effects. The quantitative determination of ponatinib and its metabolite N-desmethyl ponatinib was optimized and fully verified by ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). And the drug-drug interactions (DDI) of ponatinib with lycopene and shikonin, both in vivo and in vitro, were studied. The results of bioanalytical methodology showed that ponatinib and N-desmethyl ponatinib had good linearity in plasma samples, and their selectivity, accuracy, precision, stability, matrix effect and recovery were all satisfied with the need of quantitative analysis of samples. In animal experiments, compared with the control group, lycopene and shikonin significantly changed the pharmacokinetic parameters of ponatinib, including AUC(0-t), AUC(0-∞) and CLz/F, while having no effect on the pharmacokinetic parameters of N-desmethyl ponatinib. In vitro interaction studies indicated that lycopene showed mixed inhibition mechanism on ponatinib metabolism in both rat liver microsomes (RLM) and human liver microsomes (HLM). And, shikonin displayed mixed inhibition mechanism in RLM and competitive inhibition mechanism in HLM, respectively. In summary, the UPLC-MS/MS method can accurately and sensitively quantify ponatinib and N-desmethyl ponatinib, and provide further reference for clinical drug combination between ponatinib and lycopene or shikonin.
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AIM: To develop and test the validity of an artificial intelligence-assisted patient education material for ostomy patients. DESIGN: A methodological study. METHODS: The study was carried out in two main stages and five steps: (1) determining the information needs of ostomy patients, (2) creating educational content, (3) converting the educational content into patient education material, (4) validation of patient education material based on expert review and (5) measuring the readability of the patient education material. We used ChatGPT 4.0 to determine the information needs and create patient education material content, and Publuu Online Flipbook Maker was used to convert the educational content into patient education material. Understandability and applicability scores were assessed using the Patient Education Materials Assessment Tool submitted to 10 expert reviews. The tool inter-rater reliability was determined via the intraclass correlation coefficient. Readability was analysed using the Flesch-Kincaid Grade Level, Gunning Fog Index and Simple Measure of Gobbledygook formula. RESULTS: The mean Patient Education Materials Assessment Tool understandability score of the patient education material was 81.91%, and the mean Patient Education Materials Assessment Tool actionability score was 85.33%. The scores for the readability indicators were calculated to be Flesch-Kincaid Grade Level: 8.53, Gunning Fog: 10.9 and Simple Measure of Gobbledygook: 7.99. CONCLUSIONS: The AI-assisted patient education material for ostomy patients provided accurate information with understandable and actionable responses to patients, but is at a high reading level for patients. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: Artificial intelligence-assisted patient education materials can significantly increase patient information rates in the health system regarding ease of practice. Artificial intelligence is currently not an option for creating patient education material, and their impact on the patient is not fully known. REPORTING METHOD: The study followed the STROBE checklist guidelines. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contributions.
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Objective: Several equations have been proposed as alternatives for the reference method of measuring low-density lipoprotein cholesterol (LDL-C). This study aimed to evaluate these alternatives in comparison to the homogeneous method and validate their clinical utility. Methods: Data on the lipid profiles of 1,006 Sudanese individuals were analyzed. The paired t-test was used to compare the results of direct and calculated LDL-C. Bland-Altman plots were used to demonstrate the differences between the measured and calculated LDL-C against the mean values. Linear regression was conducted, using the correlation coefficient (r) to quantify the relationship between methods. The bias between measured and calculated LDL-C was compared to the National Cholesterol Education Program Laboratory Standardization Panel criteria (i.e., accuracy within ±4% of expected values). Results: The Martin and Anandaraja equations showed no significant difference compared to directly measured LDL-C (p>0.05). The DeLong equation indicated an insignificant difference only with a 99% confidence interval (p>0.01). The Martin, DeLong, and Teerakanchana equations exhibited the smallest limits of agreement, with data points concentrated closely around the mean difference line. Linear regression analysis revealed strong positive correlations (r>0.8) for most equations, except for the Ahmadi equation. The DeLong, Rao, and Martin equations demonstrated superior performance for LDL cutoff points (bias within ± 4%). The DeLong formula also showed superior performance at different lipid levels, closely followed by the Martin equation (bias within ±4%). Conclusion: The DeLong and Martin equations outperformed others, such as the widely used Friedewald equation, in calculating LDL-C. Further validation studies are needed.
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This methodological protocol describes the step-by-step process of identifying the relevant international academic literature to be reviewed within the project 'The affective economies of emerging private renting markets: understanding tenants and landlords in postcommunist Romania" (AFFECTIVE-PRS). It presents: (1) the preliminary decisions taken related to the breadth of the review (choice of databases, type of research, type of reference, searching fields); (2) the operationalisation of keywords and Boolean strings; (3) the further calibration of the searching parameters through piloting; (4) the final retrieval of relevant references through systematic and manual searches; and (5) the geographical coverage of the retained literature. While the paper demonstrates the rigour of the methodological approach taken, it also opens up the space for other scholars to scrutinise, replicate or adjust this approach to their own work.
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Developing a clinical practice guideline (CPG) for integrating traditional Chinese medicine (TCM) and Western medicine (WM) requires the accurate identification, collation, and integration of all available evidence on TCM and WM in a comprehensive, meaningful, and resource-efficient manner. This entails framing appropriate clinical questions, retrieving and synthesizing evidence from multiple resources, and providing concise and complete recommendations for specific diseases. However, some existing CPGs for integrating TCM and WM lack deep and organic integration. As the effective preparation of a CPG for integrating TCM and WM typically involves a complex set of principles, methodology, and steps, we believe that a cohesive, step-by-step guide on how to prepare a CPG for integrating TCM and WM is essential. To facilitate the design and development of a robust CPG, we present a clear and concise methodology, outlining relevant principles and procedures, supported by references for guidance. This technical specification aims to simplify the methodology for preparing a CPG for integrating TCM and WM; provide healthcare professionals and researchers with methodologically sound tools; and enhance the quality of CPGs for integrating TCM and WM. This technical specification may help elucidate this complex process, facilitate evaluation of the quality of published CPGs for integrating TCM and WM, and improve the understanding and application of recommendations for the combined and integrated use of TCM and WM in a new system.
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Objective: This study aimed to evaluate the efficacy of acupuncture in treating allergic rhinitis (AR) in animal models of the disease, and to explore the underlying mechanism of acupuncture in AR. Methods: Related literature was retrieved from multiple databases, including China National Knowledge Infrastructure (CNKI), Wan Fang databases, SinoMed databases, VIP database, PubMed, EMBASE, the Cochrane Library, up to September 2023. The inclusion criteria were focused on animal experiments that investigated the effect of acupuncture therapy on animal models of AR. Studies combining acupuncture with other Chinese medicine therapies were excluded. Data were extracted independently by two reviewers using standardized forms. A total of 75 studies were finally included. The risk of bias in individual studies was evaluated using the Systematic Review Centre for Laboratory animal Experimentation (SYRCLE) tool, and the quality of reporting was evaluated according to Animal Research: Reporting of In Vivo Experiments (ARRIVE) guidelines. Meta-analyses and plotting were conducted using STATA 17.0 and RevMan 5.4. When heterogeneity was present, a random effects model was applied. Subgroup, meta-regression and sensitivity analyses were also performed. Results: The SYRCLE scores ranged from 3 to 7, and the ARRIVE scores ranged from 6.5 to 11 points. Meta-analysis results demonstrated that acupuncture could significantly down-regulate EOS counts in both blood and nasal mucosa, and reduce the serum levels of IL-5, compared to the AR model group. The results of the qualitative analysis showed that acupuncture could reduce the behavior scores of AR, down-regulate serum levels of IL-4, IgE and sIgE, as well as up-regulate IFN-γ levels. Subgroup analysis results suggested that the different interventions might contribute to the observed heterogeneity. Conclusion: Our results demonstrate that acupuncture effectively alleviates the nasal allergic symptoms in animal models, inhibits immune and inflammatory signaling transduction, and reduces the release of inflammatory mediators. This study highlights the potential of acupuncture as a promising therapeutic option for AR, however, further studies are required to fully understand its mechanisms of action.
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BACKGROUND: Patient Reported Experience Measures (PREM) have become a critical component in assessing healthcare quality from the patient's perspective. Accurate and reproducible assessment tools are essential for generating robust and reliable results for evaluating peri-anesthesia patient experiences, identifying associated factors, and assessing the impact of healthcare interventions. However, there is currently no systematic review that consolidates all existing peri-anesthesia PREMs and evaluates their psychometric properties. OBJECTIVE: To identify and assess the psychometric properties of PREMs for peri-anesthesia patients. DESIGN: Systematic review of measurement properties following the COSMIN guidelines. METHODS: Systematic searches were conducted in China National Knowledge Infrastructure, Wanfang, PubMed, Embase, Web of Science, CINAHL, and PsycINFO databases from January 1, 1993, to April 15, 2024. Studies reporting on the development and/or validation of any PREMs for use in the peri-anesthesia period were considered eligible. The measurement properties extracted included data on the item development process, content validity, structural validity, internal consistency, cross-cultural validity, reliability, hypothesis testing and responsiveness. For the same PREM across different studies, reliability coefficients were analyzed using a meta-analysis. The quality assessment, rating of measurement properties, synthesis, and modified grading of the evidence were carried out following the COSMIN methodology for systematic reviews. RESULTS: A total of 26 studies encompassing 16 PREMs were included. Among them, the Patient Satisfaction with Perioperative Anesthetic Care questionnaire (PSPACq), Perception of Quality in Anesthesia (PQA), Sindhvananda General Anesthesia Satisfaction questionnaire, and Daycare Anesthesia Satisfaction (DAS) demonstrated moderate to high-quality evidence of adequate content validity and internal consistency, resulting in strong recommendations. Five PREMs exhibited high-quality evidence of inadequate structural validity and internal consistency, receiving a "not recommended" status. The remaining PREMs were weakly recommended. CONCLUSIONS: This systematic review identified PSPACq and PQA as effective tools for assessing peri-anesthesia experiences in surgical patients, suitable for both research and clinical use. Future studies should focus on thoroughly evaluating the measurement properties of these two PREMs, as many aspects remain underexplored. A high risk of bias was noted in other PREMs, particularly in content validity, structural validity, and reliability, which increases uncertainty in the evidence base. REGISTRATION: This study's protocol has been registered at PROSPERO under the registration number CRD42024537900.
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Introduction: This study shows the perspective, meaning and satisfaction perceived by people with Serious Mental Disorders during their experiences in regular employment. Methods: A mixed qualitative-quantitative methodology was used, applying semi-structured interview as qualitative information collection tool and the Indiana Job Satisfaction Scale as quantitative tool. The study period was from January 2021 to December 2022. A purposive sampling was performed with a sample of 24 people with Serious Mental Disorders who had obtained a job through an Individual Placement and Support (IPS) program during the study period. Semi-structured interview and the Indiana Job Satisfaction Scale were applied to this Serious Mental Disorder workers' sample. The Indiana Job Satisfaction Scale was also applied to a group of 24 workers without mental disorders in the same working conditions who served as control group. Results: The results of the analyses of the Serious Mental Disorder workers' narratives show that perception of work experience is conditioned by individual, environmental and social predictors, as well as external factors as determining variables. Quantitative results obtained by the Indiana Job Satisfaction Scale reveal levels of job satisfaction resembling those of the rest of workers without Serious Mental Disorder. Discussion: These findings reinforce the significance of employment in the recovery process for individuals with Serious Mental Disorders and emphasize the importance of understanding the subjective meaning individuals attribute to their work experiences.
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Background: Infertility is a global health challenge impacting quality of life, particularly in low and middle-income countries such as Sudan. The Fertility Quality of Life (FertiQoL) tool, a standardized questionnaire, is pivotal in assessing fertility-related quality of life. However, existing research on its utility has primarily been conducted in Global North and High-Income Countries, highlighting the need to shift away from neocolonialism to promote truly inclusive research and effective healthcare practices. Science diplomacy, through the adaptation and culturally sensitive implementation of research tools, can serve as a catalyst for addressing health disparities on a global scale. This study aims to assess methodological and cultural considerations that impact the implementation of the FertiQoL tool in Sudan, framed within the context of science diplomacy and neocolonialism. By investigating the challenges and opportunities of utilizing this tool in a non-Western cultural setting, we seek to contribute to the broader discussion on decolonizing global health research. Methods: Utilizing an explanatory sequential design involving surveys and interviews, we conducted a study in a Sudanese fertility clinic from November 2017 to May 2018. A total of 102 participants were recruited using convenience sampling, providing socio-demographic, medical, and reproductive history data. The Arabic version of FertiQoL was administered, with 20 participants interviewed and 82 surveyed (40 self-administered and 42 provider-administered). We applied descriptive statistics, one-way ANOVA, thematic analysis, and triangulation to explore methodological and cultural nuances. Results: Most participants were educated women who lived in urban areas. While the ANOVA results revealed no statistically significant differences in FertiQoL scores based on the mode of administration [core score (F(2,99) = 1.58, p = 0.21, η 2 = 0.03) and domain scores: emotional (F(2,99) = 1.85, p = 0.16, η 2 = 0.04); mind/body (F(2,99) = 1.95, p = 0.15, η 2 = 0.04); relational (F(2,99) = 0.18, p = 0.83, η 2 = 0.04); and social (F(2,99) = 1.67, p = 0.19, η 2 = 0.03)], qualitative insights unveiled vital cultural considerations. Interpretation challenges related to concepts like hope and jealousy emerged during interviews. Notably, the social domain of FertiQoL was found to inadequately capture the social pressures experienced by infertile individuals in Sudan, underscoring the importance of region-specific research. Despite these challenges, participants perceived FertiQoL as a comprehensive and valuable tool with broader utility beyond assessing fertility-related quality of life. Conclusion: Our findings emphasize the significance of incorporating cultural sensitivity into the interpretation of FertiQoL scores when implementing it globally. This approach aligns with the principles of science diplomacy and challenges neocolonial structures by acknowledging the unique lived experiences of local populations. By fostering cross-cultural understanding and inclusivity in research, we can enhance the implementation of FertiQoL and pave the way for novel interventions, increased funding, and policy developments in the Global South, ultimately promoting equitable global health.
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Calidad de Vida , Humanos , Sudán/etnología , Femenino , Adulto , Encuestas y Cuestionarios , Infertilidad/psicología , Competencia Cultural , Masculino , FertilidadRESUMEN
Conducting high-quality overviews of reviews (OoR) is time-consuming. Because the quality of systematic reviews (SRs) varies, it is necessary to critically appraise SRs when conducting an OoR. A well-established appraisal tool is A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2, which takes about 15-32 min per application. To save time, we developed two fast-and-frugal decision trees (FFTs) for assessing the methodological quality of SR for OoR either during the full-text screening stage (Screening FFT) or to the resulting pool of SRs (Rapid Appraisal FFT). To build a data set for developing the FFT, we identified published AMSTAR 2 appraisals. Overall confidence ratings of the AMSTAR 2 were used as a criterion and the 16 items as cues. One thousand five hundred and nineteen appraisals were obtained from 24 publications and divided into training and test data sets. The resulting Screening FFT consists of three items and correctly identifies all non-critically low-quality SRs (sensitivity of 100%), but has a positive predictive value of 59%. The three-item Rapid Appraisal FFT correctly identifies 80% of the high-quality SRs and correctly identifies 97% of the low-quality SRs, resulting in an accuracy of 95%. The FFTs require about 10% of the 16 AMSTAR 2 items. The Screening FFT may be applied during full-text screening to exclude SRs with critically low quality. The Rapid Appraisal FFT may be applied to the final SR pool to identify SR that might be of high methodological quality.
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In his commentary, Klonsky outlines several arguments for why preregistration mandates (PRMs) will have a negative impact on the field. Klonsky's overarching concern is that when preregistration ceases to be a tool for research and becomes an indicator of quality itself (a primary example being preregistration badges), it loses its intended benefits. Separate from his concerns surrounding policies such as preregistration badges, Klonsky also critiques the practice of preregistration itself, arguing that it can impede our use of other valuable research tools (e.g., multiverse analyses and exploratory analyses). We provide a response to Klonsky's concerns about preregistration and related policies. First, we provide conceptual clarification on the purpose of preregistration, which was missing in Klonsky's commentary. Second, with a clearer conceptual framework, we not only highlight where some of Klonsky's concerns are warranted but also highlight where Klonsky's concerns, critiques, and proposed alternatives to the use of preregistration fall short. Third, with this conceptual understanding of preregistration, we briefly outline some challenges related to the effective implementation of preregistration in psychological science.
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Contribution Analysis (CA) is a promising theory-based evaluation approach for complex interventions, yet its application in health interventions remains largely unexplored. To bridge this gap, we conducted a scoping review to examine the extent of such applications and the methodologies, strengths, and limitations of this approach in health programming. Our comprehensive search strategy was developed and used in 15 databases to identify peer-reviewed articles from 1999 to 2023 that focused on using CA to evaluate health interventions. We then implemented rigorous double- and triple-screening processes for abstracts and full-text papers, respectively. Data were extracted and narratively summarized. Our review found seven relevant studies, which showed that CA has been employed in health promotion programs, health policies, and targeted health issues such as nutrition, cardiovascular disease, substance misuse, and suicide prevention. The studies identified strengths of using CA, including its flexible impact evaluation approach, capacity to inform decision-making, and potential to enhance understanding of health programs and policies. However, challenges such as how to determine suitable evidence levels and how to best manage resource intensity were also identified. The limited number of studies indicates that CA is still a novel approach, whereas the variation in the reporting of the studies suggests that this approach could benefit from more standardized methods and detailed stakeholder engagement strategies.
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This scoping review was conducted under the Joanna Briggs Institute (JBI) framework. It included primary studies published until 30 April 2023, obtained through a systematic search across PubMed, Web of Science, CINAHL, and MEDLINE databases. The review focused on primary studies that used the Delphi technique in nursing competence research, especially those related to defining core competency frameworks and developing instruments to assess professional competence. The goal was to analyze the different methodological approaches used by authors, synthesize them, and propose recommendations to enhance methodological rigor, reliability, and validity in the application of the Delphi technique. For this purpose, the following review question was established: "What is the available evidence on the use of the Delphi technique in the study of professional competence in nursing?". The extracted textual elements underwent a content analysis, resulting in dimensions established through an inductive approach. Twenty studies were included, yielding insights into diverse methodological options for conducting Delphi studies, organised around a set of dimensions: (1) preparatory procedures; (2) procedures for accessing and selecting experts; (3) acquisition of expert input; (4) data analysis and consensus; and (5) ethical and legal procedures and guarantees. The study's limitations include the inability to include certain studies due to a lack of response to requests for clarification from corresponding authors. Additionally, the primary studies' methodological quality was not assessed, which is another relevant aspect. The study's results offer valuable insights for researchers intending to utilise the Delphi technique within the context of the research referenced in the included studies. This information encompasses important methodological choices, highlighting their potential benefits and associated risks. The review was prospectively registered on the Open Science Framework (Registration No: osf.io/kp2vw).
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In recent years, research on enjoyment in foreign language (FL) learning has flourished. To help illuminate the existing scope of inquiry and guide future research, this paper presents a systematic review of 118 empirical studies on FL learning enjoyment published between 2014 and 2023. Each study was coded according to its research context, methodological features, and research focus. The results indicate (1) a heavy focus on adult English as a foreign language (EFL) learners whose first languages are Chinese or Persian within traditional classroom learning settings; (2) a strong preference for quantitative methods; and (3) a prominent focus on enjoyment's antecedents and effects. Drawing upon these findings, we recommend that future research (1) addresses the experiences of language learners from diverse demographic backgrounds in a wider variety of learning settings; (2) applies multimodal methods to thoroughly assess the experience of enjoyment from both objective and subjective perspectives; and (3) explores the nature of enjoyable teacher-student or student-student socio-emotional interaction in greater depth.
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OBJECTIVE: To evaluate the methodological and reporting quality of systematic reviews (SR) of randomized controlled trials on esthetics and reconstructive breast surgery. METHODS: Meta-research study with a broad search strategy was developed to retrieve all relevant systematic reviews. We evaluated the methodological and reporting guidance adopted by these reviews and assessed their adequacy to items from AMSTAR-2 (methodological quality) and PRISMA 2020 (reporting quality). The protocol of this study was prospectively published in: https://osf.io/preprints/osf/ucpgd. RESULTS: After the selection process, 15 SR were included; eight (60%) referred the use of a methodological guide and five (33.3%) invertedly referred PRISMA as the methodological guide. Reporting guidelines were referred by none of the included systematic review. The median adequacy to PRISMA-2020 items was 42.9% (Q1 - 38.1%/Q3 - 95.2%) and to AMSTAR-2 items was 33.3% (Q1 - 23.3%/Q3 - 93.3%) which reflects overall low reporting and methodological quality of included SR. The overall confidence in the results using AMSTAR-2 framework was critically low in 73.3% of included SR. Although a small number of SR were included, a high correlation between the methodological and reporting quality was observed (Spearmean rho = 0.96, 95% bias-corrected confidence interval = 0.84 to 0.99). CONCLUSION: Methodological and reposting quality of SR of randomized clinical trials on esthetic or reconstructive breast surgery is poor. Half of the authors referred to the use of valid guidance to plan and conduct their reviews and none of them referred the use of a guidance for reporting their results.
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Temperature influences nearly every aspect of organismal function. Because aspects of global change such as urbanization and climate change influence temperature, researchers must consider how altering thermal regimes will impact biodiversity across the planet. To do so, they often measure temperature in natural and/or human-modified habitats, replicate those temperatures in laboratory experiments to understand organismal responses, and make predictions under models of future change. Consequently, accurately representing temperature in the laboratory is an important concern, yet few studies have assessed the consequences of simulating thermal conditions in different ways. We used nest temperatures for two urban-dwelling, invasive lizards (Anolis sagrei and A. cristatellus) to create two egg incubation treatments in the laboratory. Like most studies of thermal developmental plasticity, we created daily repeating thermal fluctuations; however, we used different methods to create temperature treatments that differed in the magnitude and breadth of thermal cycles, and then evaluated the effects of these different approaches on embryo development and hatchling phenotypes. Additionally, we measured embryo heart rate, a proxy for metabolism, across temperature to understand the immediate effects of treatments. We found that treatments had minimal effect on phenotypes likely because temperatures were within the optimal thermal range for each species and were similar in mean temperature. We conclude that slight differences in thermal treatments may be unimportant so long as temperatures are within a range appropriate for development, and we make several recommendations for future studies of developmental plasticity.