Zoekresultaten

Incisional negative pressure wound therapy for the prevention of surgical site infection

BACKGROUND: The evidence on prophylactic use of negative pressure wound therapy on primary closed incisional wounds (iNPWT) for the prevention of surgical site infections (SSI) is confusing and ambiguous. Implementation in daily practice is impaired by inconsistent recommendations in current international guidelines and published meta-analyses. More recently, multiple new randomised controlled trials (RCTs) have been published. We aimed to provide an overview of all meta-analyses and their characteristics; to conduct a new and up-to-date systematic review and meta-analysis and Grading of Recommendations Assessment, Development and Evaluation (GRADE) assessment; and to explore the additive value of new RCTs with a trial sequential analysis (TSA).METHODS: PubMed, Embase and Cochrane CENTRAL databases were searched from database inception to October 24, 2022. We identified existing meta-analyses covering all surgical specialties and RCTs studying the effect of iNPWT compared with standard dressings in all types of surgery on the incidence of SSI, wound dehiscence, reoperation, seroma, hematoma, mortality, readmission rate, skin blistering, skin necrosis, pain, and adverse effects of the intervention. We calculated relative risks (RR) with corresponding 95% confidence intervals (CI) using a Mantel-Haenszel random-effects model. We assessed publication bias with a comparison-adjusted funnel plot. TSA was used to assess the risk of random error. The certainty of evidence was evaluated using the Cochrane Risk of Bias-2 (RoB2) tool and GRADE approach. This study is registered with PROSPERO, CRD42022312995.FINDINGS: We identified eight previously published general meta-analyses investigating iNPWT and compared their results to present meta-analysis. For the updated systematic review, 57 RCTs with 13,744 patients were included in the quantitative analysis for SSI, yielding a RR of 0.67 (95% CI: 0.59-0.76, I 2 = 21%) for iNPWT compared with standard dressing. Certainty of evidence was high. Compared with previous meta-analyses, the RR stabilised, and the confidence interval narrowed. In the TSA, the cumulative Z-curve crossed the trial sequential monitoring boundary for benefit, confirming the robustness of the summary effect estimate from the meta-analysis. INTERPRETATION: In this up-to-date meta-analysis, GRADE assessment shows high-certainty evidence that iNPWT is effective in reducing SSI, and uncertainty is less than in previous meta-analyses. TSA indicated that further trials are unlikely to change the effect estimate for the outcome SSI; therefore, if future research is to be conducted on iNPWT, it is crucial to consider what the findings will contribute to the existing robust evidence.FUNDING: Dutch Association for Quality Funds Medical Specialists.

A Business Rules Viewpoint on Risk and Compliance Management

From the article: Business rules management is a mean by which an organization realizes controllability of business activities to fulfill goals. Currently the focus of controllability is mainly on effectiveness, efficiency and output quality. Little attention is paid to risk, stakeholder concerns and high level goals. The purpose of this work is to present a viewpoint relating business rules management with concepts of risks, stakeholder, concerns and goals. The viewpoint is presented by means of a meta-model existing out of six concepts: stakeholder, concern, goal, business rule, requirements and implementation mechanism. In a case study the proposed view is validated in terms of completeness, usability and accuracy. Results illustrate the completeness, usability and a high degree of accuracy of our defined view. Future research is suggested on the development of a modeling language to improve the communicational value and ease of use of the meta-model.

Original research: Prediction models for hospital readmissions in patients with heart disease: a systematic review and meta-analysis

Objective: To describe the discrimination and calibration of clinical prediction models, identify characteristics that contribute to better predictions and investigate predictors that are associated with unplanned hospital readmissions.Design: Systematic review and meta-analysis.Data source: Medline, EMBASE, ICTPR (for study protocols) and Web of Science (for conference proceedings) were searched up to 25 August 2020.Eligibility criteria for selecting studies: Studies were eligible if they reported on (1) hospitalised adult patients with acute heart disease; (2) a clinical presentation of prediction models with c-statistic; (3) unplanned hospital readmission within 6 months. Primary and secondary outcome measures: Model discrimination for unplanned hospital readmission within 6 months measured using concordance (c) statistics and model calibration. Meta-regression and subgroup analyses were performed to investigate predefined sources of heterogeneity. Outcome measures from models reported in multiple independent cohorts and similarly defined risk predictors were pooled.Results: Sixty studies describing 81 models were included: 43 models were newly developed, and 38 were externally validated. Included populations were mainly patients with heart failure (HF) (n=29). The average age ranged between 56.5 and 84 years. The incidence of readmission ranged from 3% to 43%. Risk of bias (RoB) was high in almost all studies. The c-statistic was <0.7 in 72 models, between 0.7 and 0.8 in 16 models and >0.8 in 5 models. The study population, data source and number of predictors were significant moderators for the discrimination. Calibration was reported for 27 models. Only the GRACE (Global Registration of Acute Coronary Events) score had adequate discrimination in independent cohorts (0.78, 95% CI 0.63 to 0.86). Eighteen predictors were pooled. Conclusion: Some promising models require updating and validation before use in clinical practice. The lack of independent validation studies, high RoB and low consistency in measured predictors limit their applicability.PROSPERO registration number: CRD42020159839.

A Meta-Model for Transforming Interprofessional Practice, Education, and Research.

A Meta-Model of Interprofessional Development is proposed as an integrated theory-based and procedure-centered roadmap for interprofessional collaboration. The Model is designed to inform and connect interprofessional priorities and integrate perspectives of interprofessional practice, education and research. Its purpose is to provide a comprehensive and integrated guide to enhance interprofessional collaboration given any context and/or purpose. The model proposes an operational and a strategic dimension that build on a diversity of profession-specific expertise. These dimensions consist of developmental phases related to one or more interprofessional priorities. The operational dimension and the strategic dimension influence each other. All phases influence practice, education and research perspectives. The meta-model states that each interprofessional priority is subject to practice, teachable through education, and verifiable by science. While interprofessional activity may have a common ground; priorities do result in different professional contributions and activities depending on perspective, context, and purpose. This common ground of interprofessional priorities consists of negotiating and appreciating professional identity related to role clarity, shared problem domains, different and complementary approaches to solve a shared problem, interprofessional planning and execution of an interprofessional plan. In addition, interprofessional collaboration depends on other priorities such as engagement, effort and influence at individual, collective and systemic levels. These priorities involve interprofessional identity formation, networks and/or community of practice challenges and the systemic influence of power, policy and politics. Developing interprofessional collaboration is a complex process and the authors hope this meta-model will help students, educators, practitioners and researchers unpack the complexities of interprofessional collaboration.

Meta-Model of Interprofessional Development

Meta-Model of Interprofessional Development.

Het Meta-Model of Interprofessional Development wordt beschreven. Deze bestaat uit diverse factoren die prioriteit zouden moeten krijgen om verschillende beroepsgroepen complementair te laten samenwerken om zo tot optimale en gezamenlijke uitkomsten te kunnen komen. Deze factoren vormen tezamen een systemische samenhang omdat zij een wisselwerking op elkaar hebben. Diverse wetenschappelijk toetsbare assumpties worden beschreven voor elk van deze factoren (fasen) in relatie tot interprofessionele ontwikkeling en in relatie tot hun onderlinge samenhang.