Abstract: Teledentistry offers possibilities for improving efficiency and quality of care and supporting cost-effective healthcare systems. This umbrella review aims to synthesize existing systematic reviews on teledentistry and provide a summary of evidence of its clinical- and cost-effectiveness. A comprehensive search strategy involving various teledentistry-related terms, across seven databases, was conducted. Articles published until 24 April 2023 were considered. Two researchers independently reviewed titles, abstracts and full-text articles. The quality of the included reviews was critically appraised with the AMSTAR-2 checklist. Out of 749 studies identified, 10 were included in this umbrella review. Two reviews focusing on oral-health outcomes revealed that, despite positive findings, there is not yet enough evidence for the long-term clinical effectiveness of teledentistry. Ten reviews reported on economic evaluations or costs, indicating that teledentistry is cost-saving. However, these conclusions were based on assumptions due to insufficient evidence on cost-effectiveness. The main limitation of our umbrella review was the critically low quality of the included reviews according to AMSTAR-2 criteria, with many of these reviews basing their conclusions on low-quality studies. This highlights the need for high-quality experimental studies (e.g., RCTs, factorial designs, stepped-wedge designs, SMARTs and MRTs) to assess teledentistry’s clinical- and cost-effectiveness.
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Explainable Artificial Intelligence (XAI) aims to provide insights into the inner workings and the outputs of AI systems. Recently, there’s been growing recognition that explainability is inherently human-centric, tied to how people perceive explanations. Despite this, there is no consensus in the research community on whether user evaluation is crucial in XAI, and if so, what exactly needs to be evaluated and how. This systematic literature review addresses this gap by providing a detailed overview of the current state of affairs in human-centered XAI evaluation. We reviewed 73 papers across various domains where XAI was evaluated with users. These studies assessed what makes an explanation “good” from a user’s perspective, i.e., what makes an explanation meaningful to a user of an AI system. We identified 30 components of meaningful explanations that were evaluated in the reviewed papers and categorized them into a taxonomy of human-centered XAI evaluation, based on: (a) the contextualized quality of the explanation, (b) the contribution of the explanation to human-AI interaction, and (c) the contribution of the explanation to human- AI performance. Our analysis also revealed a lack of standardization in the methodologies applied in XAI user studies, with only 19 of the 73 papers applying an evaluation framework used by at least one other study in the sample. These inconsistencies hinder cross-study comparisons and broader insights. Our findings contribute to understanding what makes explanations meaningful to users and how to measure this, guiding the XAI community toward a more unified approach in human-centered explainability.
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Abstract Study Objective To provide an overview of patients' needs concerning goal‐setting, and indications of how those needs can be met by nurses. Methods A narrative review. Pubmed and Cinahl were searched through March 1, 2020 for: patients' experiences concerning goal‐setting and the role of nursing in rehabilitation. Additional articles were found through snowballing. A total of 22 articles were reviewed on patients' experiences, and 12 on the nursing role. Results Patients need to be prepared for collaborating in goal‐setting and to receive an explanation about their part in that process. The multiplicity of disciplines may cloud patients' understanding of the process. The nurse's planning of the rehabilitation process should be aimed at resolving this issue. Goals need to be meaningful, and patients need support in attaining them. The interpretive, integrative, and consoling functions of Kirkevold's nursing role are suitable to meet these needs. Conclusions Both the literature about patients' needs regarding goal‐setting and the nursing role make clear that the way nurses work in rehabilitation can gain in clarity. Strengthening the role of nurses will improve the goal‐setting process for patients. Interprofessional collaboration, clear work procedures, continuity of care, time and trust, and the physical environment all are important to reinforce this role.
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