Suchergebnisse

Objectives To review leadership for dentists in patient facing, primary care dental practice. Methods A three stage systematic review with narrative synthesis: A scoping overview - management and leadership policy context. A systematic review of reviews of leadership in healthcare. A systematic focused review of leadership in patient-facing dental practice. Results The healthcare literature mirrors the generic literature in relation to the temporal evolution of leadership theories. Policy papers influence healthcare literature, though these are generally written by independent bodies, link solely to medical publications, and are often commissioned from the grand strategic level thereby grounding them in a politicised system. The healthcare leadership literature offers few studies at the operational (patient care) level of leadership, with none of these focused explicitly on dentistry and dental practice. Numerous aims, definitions, models, conceptualisations, and links to theories of leadership are reported. The stage 1 literature demonstrates more contemporaneous ideas of leadership, while the dental practice literature is too often grounded in outdated concepts and theories. Conclusions The overarching trend is from leaders to leadership; with no unified definition, model, theory, concept nor aim recognised. The fundamental importance of specific context and the reaction of others to leadership is reinforced. Leadership theories aligned to healthcare include Engaging, Authentic, Collective and the Transformational-Transactional continuum. Leadership is a dynamic, socially constructed process, only occurring in a group setting. Consisting of multiple moderating variables that demonstrate reciprocal influence on one another, these influences are neither equal nor stable. (246 words) Clinical significance Leadership is embedded in regulatory guidance and standards relating to general dental practice. It is therefore crucial to have an evidenced based understanding of what leadership means in this context, and what further work is necessary to support clinicians in the leadership domain. (43 words)

INTRODUCTION: Uncertainty is an inevitable part of healthcare and a source of confusion and challenge to decision-making. Several taxonomies of uncertainty have been developed, but mainly focus on decisions in clinical settings. Our goal was to develop a holistic model of uncertainty that can be applied to both clinical as well as public and global health scenarios. METHODS: We searched Medline, Embase, CINAHL, Scopus and Google scholar in March 2021 for literature reviews, qualitative studies and case studies related to classifications or models of uncertainty in healthcare. Empirical articles were assessed for study limitations using the Critical Appraisal Skills Programme (CASP) checklist. We synthesised the literature using a thematic analysis and developed a dynamic multilevel model of uncertainty. We sought patient input to assess relatability of the model and applied it to two case examples. RESULTS: We screened 4125 studies and included 15 empirical studies, 13 literature reviews and 5 case studies. We identified 77 codes and organised these into 26 descriptive and 11 analytical themes of uncertainty. The themes identified are global, public health, healthcare system, clinical, ethical, relational, personal, knowledge exchange, epistemic, aleatoric and parameter uncertainty. The themes were included in a model, which captures the macro, meso and microlevels and the inter-relatedness of uncertainty. We successfully piloted the model on one public health example and an environmental topic. The main limitations are that the research input into our model predominantly came from North America and Europe, and that we have not yet tested the model in a real-life setting. CONCLUSION: We developed a model that can comprehensively capture uncertainty in public and global health scenarios. It builds on models that focus solely on clinical settings by including social and political contexts and emphasising the dynamic interplay between different areas of uncertainty.