Unraveling the thread: understanding and addressing sequential failures in human-robot interaction.

Interaction is a dynamic process that evolves in real time. Participants interpret and orient themselves towards turns of speech based on expectations of relevance and social/conversational norms (that have been extensively studied in the field of Conversation analysis). A true challenge to Human Robot Interaction (HRI) is to develop a system capable of understanding and adapting to the changing context, where the meaning of a turn is construed based on the turns that have come before. In this work, we identify issues arising from the inadequate handling of the sequential flow within a corpus of in-the-wild HRIs in an open-world university library setting. The insights gained from this analysis can be used to guide the design of better systems capable of handling complex situations. We finish by surveying efforts to mitigate the identified problems from a natural language processing/machine dialogue management perspective.

Corrigendum: Contextualising clinical reasoning within the clinical swallow evaluation: A scoping review and expert consultation.

No abstract available.

Intentional practice: a common language, approach and set of methods to design, adapt and implement contextualised wellbeing solutions.

Reducing the "science-to-practice" gap has gained significant attention across multi-disciplinary settings, including school psychology and student wellbeing, trauma-informed practice, community and human services, and clinically focused health care. There has been increasing calls for complexity and contextualisation to be integrated within the implementation science literature. This includes the design and implementation of interventions spanning "systems" (whole-of-community capacity building initiatives), "programs" (e.g., evidence-based programs, clinical interventions) and "moment-to-moment" support or care. The latter includes responses and communication designed to deliver specific learning, growth or wellbeing outcomes, as personalised to an individual's presenting needs and context (e.g., trauma-informed practice). Collectively, this paper refers to these interventions as "wellbeing solutions". While the implementation science literature offers a range of theories, models and approaches to reduce the science-to-practice gap in wellbeing solution design and implementation, they do not operationalise interventions into the "moment", in a manner that honours both complexity and contextualisation. Furthermore, the literature's language and content is largely targeted towards scientific or professional audiences. This paper makes the argument that both best-practice science, and the frameworks that underpin their implementation, need to be "sticky", practical and visible for both scientific and non-scientific knowledge users. In response to these points, this paper introduces "intentional practice" as a common language, approach and set of methods, founded upon non-scientific language, to guide the design, adaptation and implementation of both simple and complex wellbeing solutions. It offers a bridge between scientists and knowledge users in the translation, refinement and contextualisation of interventions designed to deliver clinical, wellbeing, growth, therapeutic and behavioural outcomes. A definitional, contextual and applied overview of intentional practice is provided, including its purported application across educational, wellbeing, cross-cultural, clinical, therapeutic, programmatic and community capacity building contexts.

Sazgar IoT: A Device-Centric IoT Framework and Approximation Technique for Efficient and Scalable IoT Data Processing.

The Internet of Things (IoT) plays a fundamental role in monitoring applications; however, existing approaches relying on cloud and edge-based IoT data analysis encounter issues such as network delays and high costs, which can adversely impact time-sensitive applications. To address these challenges, this paper proposes an IoT framework called Sazgar IoT. Unlike existing solutions, Sazgar IoT leverages only IoT devices and IoT data analysis approximation techniques to meet the time-bounds of time-sensitive IoT applications. In this framework, the computing resources onboard the IoT devices are utilised to process the data analysis tasks of each time-sensitive IoT application. This eliminates the network delays associated with transferring large volumes of high-velocity IoT data to cloud or edge computers. To ensure that each task meets its application-specific time-bound and accuracy requirements, we employ approximation techniques for the data analysis tasks of time-sensitive IoT applications. These techniques take into account the available computing resources and optimise the processing accordingly. To evaluate the effectiveness of Sazgar IoT, experimental validation has been conducted. The results demonstrate that the framework successfully meets the time-bound and accuracy requirements of the COVID-19 citizen compliance monitoring application by effectively utilising the available IoT devices. The experimental validation further confirms that Sazgar IoT is an efficient and scalable solution for IoT data processing, addressing existing network delay issues for time-sensitive applications and significantly reducing the cost related to cloud and edge computing devices procurement, deployment, and maintenance.

The Cameroon Health Research and Evidence Database (CAMHRED): tools and methods for local evidence mapping.

BACKGROUND: Local evidence is important for contextualized knowledge translation. It can be used to adapt global recommendations, to identify future research priorities and inform local policy decisions. However, there are challenges in identifying local evidence in a systematic, comprehensive, and timely manner. There is limited guidance on how to map local evidence and provide it to users in an accessible and user-friendly way. In this study, we address these issues by describing the methods for the development of a centralized database of health research evidence for Cameroon and its applications for research prioritization and decision making. METHODS: We searched 10 electronic health databases and hand-searched the archives of non-indexed African and Cameroonian journals. We screened titles, abstracts, and full texts of peer reviewed journal articles published between 1999 and 2019 in English or French that assess health related outcomes in Cameroonian populations. We extracted relevant study characteristics based on a pre-established guide. We developed a coding scheme or taxonomy of content areas so that local evidence is mapped to corresponding domains and subdomains. Pairs of reviewers coded articles independently and resolved discrepancies by consensus. Moreover, we developed guidance on how to search the database, use search results to create evidence maps and conduct knowledge gap analyses. RESULTS: The Cameroon Health Research and Evidence Database (CAMHRED) is a bilingual centralized online portal of local evidence on health in Cameroon from 1999 onwards. It currently includes 4384 studies categorized into content domains and study characteristics (design, setting, year and language of publication). The database is searchable by keywords or through a guided search. Results including abstracts, relevant study characteristics and bibliographic information are available for users to download. Upon request, guidance on how to optimize search results for applications like evidence maps and knowledge gap analyses is also available. CONCLUSIONS: CAMHRED ( https://camhred.org/ ) is a systematic, comprehensive, and centralized resource for local evidence about health in Cameroon. It is freely available to stakeholders and provides an additional resource to support their work at various levels in the research process.

Sustainable preventive integrated child health care: reflections on the importance of multidisciplinary and multisectoral stakeholder engagement.

Worldwide, 85% of all children who die are under the age of five. A recent scoping review examining the literature from 2000 to 2021 shows the importance of sustainable integrated preventive child health care for improving child health, enhancing the uptake of preventive child health services, and decreasing health-care costs. In 2022, we organised a stakeholder workshop in Uganda to discuss and contextualise the findings of the scoping review. The workshop took place under the umbrella of the Centre of Excellence for Sustainable Health, a virtual collaborative centre co-hosted by Makerere University in Uganda and Karolinska Institutet in Sweden. The workshop convened multidisciplinary and multisectoral stakeholders, including parents, nurses, paediatricians, nutritionists, village health team members, religious leaders, social workers, teachers, lawyers, health and climate researchers, and representatives from the police, the agricultural sector, the Ministry of Health, the World Health Organization, and other international and national non-governmental organisations, among others. We reflect on the importance of multidisciplinary and multisectoral stakeholder engagement, not only in building bridges between research and practice but also in linking sectors and connecting people for sustainable preventive integrated child health care. Though an important step, this workshop was only a first step; over time, relationships must be nurtured, multisectoral systems built and research and policy closely connected. We hope this workshop will not remain a one-off event but becomes an institutionalised effort that sparks action for sustainable preventive integrated child health care in Kampala and beyond, and sustainable health for all.

The influence of indigenous knowledge on chemistry metacognition.

Background: Chemistry is viewed as a difficult and challenging subject by many learners and teachers which leads to poor academic performance in the subject. The majority of the pre-service science teachers in Zimbabwean teachers' colleges also find Chemistry to be a challenging subject. The focus of this study was to simplify and contextualize the teaching and learning of Chemistry concepts for life-long survival and problem-solving skills through exploring the influence of indigenous Chemistry knowledge on Chemistry metacognition. Methods: An embedded mixed methods case study was underpinned by the social constructivist theory, which is used to collect and analyse the data. Twenty-nine respondents were purposively sampled. Their metacognition awareness was determined through focus group interviews which are triangulated with a paper and pen test. The indigenous Chemistry knowledge possessed by the pre-service science teachers was collected using focus group interviews, which was then used in the intervention stage for Chemistry metacognition. Results: The findings suggest that indigenous knowledge influences chemistry metacognition in a positive way. Conclusions: Further research is required on the relationship between indigenous Chemistry knowledge and Chemistry metacognition. It is recommended that Chemistry educators should be capacitated with skills for identifying and applying indigenous Chemistry knowledge that is relevant to Chemistry metacognition.

Humanising research on migration decision-making: a situated framework.

The question of why some people (re)migrate while others choose to stay remains one of the important preoccupations in migration studies. It underlines the need to further conceptualise transnational migration to identify the drivers behind individuals' aspiration or intention to (re)migrate or stay where they are. Drawing from several migration theories and perspectives in various disciplines, this paper proposes the situated framework of "humanising research on migration decision-making", that is, highlighting its human aspects. This scholarly enterprise is critically important as mainstream migration theories put more emphasis on individuals' rationality and some life dimensions, thereby overlooking other human aspects of migration and stasis. Viewing individuals as persons, this framework offers three ways to humanise the analysis: thick contextualisation, life dimensions-focused analysis, and time-situated inquiry. It also calls for the engendering of the analysis and decolonising the methodologies adopted in the study of (non-)migration decision-making.

This paper proposes an analytical framework to address the question of what drives people to migrate, remigrate, or stay where they are. To do so, it draws from existing migration theories in different disciplines and situates itself within the vast literature theorising migration. The resulting framework focuses on (non-)migration decision-making, specifically the drivers of migration aspiration and intention. It views individuals as persons with internal processes in cognitive, emotional, and relational terms; subjectivity; agency; social world; and lived experiences. This humanising framework not only calls for engendering research on (non-)migration decision-making but also suggests several decolonising data-gathering techniques. It offers three analytical ways: thick contextualisation, life dimensions-focused analysis, and time-situated inquiry. Its humanising approach to individual (non-)migration decision-making is a response to several calls to make scientific inquiries more humane, inclusive, and grounded.

Listening to the Shenzhen Primary Healthcare Context to Adapt the mhGAP-IG.v2 for the Assessment of Depression: Qualitative Workshops with Primary Healthcare Leaders.

In Shenzhen, despite recent primary and mental healthcare reform, Primary healthcare doctors (PHC) have limited access to diagnostic tools and a significant mental health treatment gap presides. The World Health Organization's (WHO) mental health gap intervention guide (mhGAP-IG.v2) offers a non-specialist and evidence-based guide for the assessment of depression however requires adaptation to the context of use. Bilingual (Mandarin and English) qualitative research was undertaken with 30 PHC leaders from Shenzhen to compare their assessment approach for depression against the mhGAP-IG.v2 in order to identify context-specific modifications for a local guide. Local assessment differentiators included: a need for culturally sensitive translation of depression symptoms; a preference for a broad, non-hierarchical symptom presentation (including somatic, behavioural and anxiety items); national prioritisation of suicide patients; the integration of family into the cycle of care; limited primary care awareness of a depressive episode in Bipolar Disorder; and China's specialist-led diagnostic approach. Contextual modification of mhGAP-IG.v2 is recommended to take account of China's unique cultural and primary health system response to depression. Ongoing mental health training is required to develop professional confidence in the recognition of mental disorders.

Contextualising clinical reasoning within the clinical swallow evaluation: A scoping review and expert consultation.

BACKGROUND: This study explored the available literature on the phenomenon of clinical reasoning and described its influence on the clinical swallow evaluation. By exploring the relationship between clinical reasoning and the clinical swallow evaluation, it is possible to modernise the approach to dysphagia assessment. OBJECTIVES: This study aimed to contextualise the available literature on clinical reasoning and the CSE to low-middle income contexts through the use of a scoping review and expert consultation. METHOD: A scoping review was performed based on the PRISMA-ScR framework. The data was analysed using thematic analysis. Articles were considered if they discussed the clinical swallow evaluation and clinical reasoning, and were published in the last 49 years. RESULTS: Through rigorous electronic and manual searching, 12 articles were identified. This review made an argument for the value of clinical reasoning within the clinical swallow evaluation. The results of the study revealed three core themes related to the acquisition, variability and positive impact of clinical reasoning in the clinical swallow evaluation. CONCLUSION: The results of this review showed that the clinical swallow evaluation is a complex process with significant levels of variability usually linked to the impact of context. This demonstrates that in order to deliver effective and relevant services, despite challenging conditions, healthcare practitioners must depend on clinical reasoning to make appropriate modifications to the assessment process that considers these salient factors.

Data-driven assessment, contextualisation and implementation of 134 variables in the risk for type 2 diabetes: an analysis of Lifelines, a prospective cohort study in the Netherlands.

AIMS/HYPOTHESIS: We aimed to assess and contextualise 134 potential risk variables for the development of type 2 diabetes and to determine their applicability in risk prediction. METHODS: A total of 96,534 people without baseline diabetes (372,007 person-years) from the Dutch Lifelines cohort were included. We used a risk variable-wide association study (RV-WAS) design to independently screen and replicate risk variables for 5-year incidence of type 2 diabetes. For identified variables, we contextualised HRs, calculated correlations and assessed their robustness and unique contribution in different clinical contexts using bootstrapped and cross-validated lasso regression models. We evaluated the change in risk, or 'HR trajectory', when sequentially assigning variables to a model. RESULTS: We identified 63 risk variables, with novel associations for quality-of-life indicators and non-cardiovascular medications (i.e., proton-pump inhibitors, anti-asthmatics). For continuous variables, the increase of 1 SD of HbA1c, i.e., 3.39 mmol/mol (0.31%), was equivalent in risk to an increase of 0.53 mmol/l of glucose, 19.8 cm of waist circumference, 8.34 kg/m2 of BMI, 0.67 mmol/l of HDL-cholesterol, and 0.14 mmol/l of uric acid. Other variables required an increase of >3 SD, which is not physiologically realistic or a rare occurrence in the population. Though moderately correlated, the inclusion of four variables satiated prediction models. Invasive variables, except for glucose and HbA1c, contributed little compared with non-invasive variables. Glucose, HbA1c and family history of diabetes explained a unique part of disease risk. Adding risk variables to a satiated model can impact the HRs of variables already in the model. CONCLUSIONS: Many variables show weak or inconsistent associations with the development of type 2 diabetes, and only a handful can reliably explain disease risk. Newly discovered risk variables will yield little over established factors, and existing prediction models can be simplified. A systematic, data-driven approach to identify risk variables for the prediction of type 2 diabetes is necessary for the practice of precision medicine.

How to contextualize training on guideline-uptake for your setting.

One knowledge translation method, of putting evidence into practice, is the use of clinical practice guidelines (CPG). The purpose of this brief report is to describe an 8-step process of "how to" contextualize a training programme to increase CPG-uptake for a targeted audience in a clearly defined setting. This process may assist implementation practitioners to fast-track the development of contextualized training to improve CPG-uptake.

Abstraction and interpretation during the qualitative content analysis process.

Qualitative content analysis and other 'standardised' methods are sometimes considered to be technical tools used for basic, superficial, and simple sorting of text, and their results lack depth, scientific rigour, and evidence. To strengthen the trustworthiness of qualitative content analyses, we focus on abstraction and interpretation during the analytic process. To our knowledge, descriptions of these concepts are sparse; this paper therefore aims to elaborate on and exemplify the distinction and relation between abstraction and interpretation during the different phases of the process of qualitative content analysis. We address the relations between abstraction and interpretation when selecting, condensing, and coding meaning units and creating categories and themes on various levels. The examples used are based on our experiences of teaching and supervising students at various levels. We also highlight the phases of de-contextualisation and re-contextualisation in describing the analytic process. We argue that qualitative content analysis can be both descriptive and interpretative. When the data allow interpretations of the latent content, qualitative content analysis reveals both depth and meaning in participants' utterances.

Evaluation of iLead, a generic implementation leadership intervention: mixed-method preintervention-postintervention design.

OBJECTIVES: The present study aimed to evaluate the iLead intervention and to investigate whether or not transfer of training can be supported by contextualising the intervention (recruiting all managers from one branch of the organisation while focusing on one implementation case, as well as training senior management). DESIGN: A pre-evaluation-postevaluation design was applied using mixed methods with process and effect surveys and interviews to measure the effects on three levels. SETTING: Healthcare managers from Stockholm's regional healthcare organisation were invited to the training. PARTICIPANTS: 52 managers participated in the iLead intervention. Group 1 consisted of 21 managers from different organisations and with different implementation cases. Group 2, representing the contextualised group, consisted of 31 managers from the same organisation, working on the same implementation case, where senior management also received training. INTERVENTION: iLead is an intervention where healthcare managers are trained in implementation leadership based on the full-range leadership model. PRIMARY OUTCOME MEASURES: Reactions, knowledge and implementation leadership are measured. RESULTS: Quantitative and qualitative analyses indicate that iLead was perceived to be of high quality and capable of increasing participants' knowledge. Mixed effects were found regarding changes in behaviours. The contextualisation did not have a boosting effect on behaviour change. Hence, group 2 did not increase its active implementation leadership in comparison with group 1. CONCLUSIONS: iLead introduces a new approach to how implementation leadership can be trained when knowledge of effective leadership for implementations is combined with findings on the importance of environmental factors for the transfer of training. Even though managers reported general positive effects, transfer was not facilitated through the contextualisation of the intervention. There is a need to further develop approaches to help participants subsequently apply the learnt skills in their work environment.

Lessons learned from Evidence-Informed Decision-Making in Nutrition & Health (EVIDENT) in Africa: a project evaluation.

BACKGROUND: Evidence-informed Decision-making in Nutrition and Health (EVIDENT) is an international partnership that seeks to identify information needs in nutrition and health in Africa and build local capacity in knowledge management to help translate the best available evidence into context-appropriate recommendations aligned to the priorities of decision-makers. This study evaluates the extent to which EVIDENT achieved its intended activities, documents the lessons learned and draws on these lessons learned to inform future activities of EVIDENT, as well as in evidence-informed decision-making (EIDM) in nutrition overall. METHODS: Purposive and snowball sampling were used to identify participants that were either directly or indirectly involved with EVIDENT. An analytical framework of five key elements was developed to guide data collection from EVIDENT's documentation, in-depth interviews (n = 20), online surveys (n = 26) and a participatory discussion. Interviews were transcribed verbatim and coded in NVivo 11, using deductive thematic content analysis and a phenomenological approach. Online surveys were analysed using Stata 14. Data were triangulated to address both objectives under each element of the analytical framework. RESULTS: EVIDENT succeeded in establishing a collaborative partnership, within which it delivered four short courses in EIDM. This capacity complemented case study activities in four partner African countries where EIDM processes were implemented and assessed. Identified barriers to these processes included little experience in EIDM, difficulties in engaging stakeholders, challenging local environments (e.g. donor influence, bureaucracy, inaccessibility to scientific research, poor internet connectivity), and limited time and funding. However, EVIDENT activities were driven by a local need for EIDM, a sheer interest and commitment to the cause, and the opportunity for the Global North and South to work together and build relationships. Future activities of EVIDENT, and EIDM in nutrition overall, should focus on sustained capacity-building in EIDM processes, leadership and functional skills across the Global South, investment in stakeholder engagement, context-specific EIDM, enhanced communication and linking, and strengthening relationships with existing stakeholder organisations. CONCLUSIONS: In its first 3 years, EVIDENT developed and strengthened partnership, capacity and visibility on EIDM in Africa. Innovative and long-term capacity-building, dedicated leadership, further stakeholder engagement and sustainable financing, are needed for future activities of EVIDENT and EIDM in nutrition.

Developing a workbook to support the contextualisation of global health systems guidance: a case study identifying steps and critical factors for success in this process at WHO.

BACKGROUND: Global guidance can help countries strengthen their health systems to deliver effective interventions to their populations. However, to have an impact, guidance needs to be contextualised or adapted to local settings; this process includes consideration of health system arrangements and political system factors. To date, methods to support contextualisation do not exist. In response, a workbook was designed to provide specific methods and strategies to enable the contextualisation of WHO's 'Optimizing health worker roles to improve maternal and newborn health' (OptimizeMNH) guidance at the national or subnational level. The objective of this study was to describe the process of developing the workbook and identify key steps of the development process, barriers that arose and facilitators that helped overcome some of these barriers. METHODS: A qualitative single case study design was carried out. Interviews, documents and a reflexive journal were used. Constant comparison and an edit-style of organisation were used during data analysis to develop concepts, themes, subthemes and relationships among them. RESULTS: Thirteen interviews were conducted and 52 documents were reviewed. Three main steps were identified in the process of developing the workbook for health systems guidance contextualisation, namely (1) determining the need for and gaining approval to develop the workbook, (2) developing the workbook (taking on the task, creating the structure of the workbook, operationalising its components, undergoing approval processes and editing it), and (3) implementing the workbook both at the WHO level and at the national/subnational level. Five barriers and/or facilitators emerged relevant to each step, namely (1) having well-placed and credible champions, (2) creating and capitalising on opportunities, (3) finding the right language to engage various actors and obtain buy-in, (4) obtaining and maintaining meaningful buy-in, and (5) ensuring access to resources. CONCLUSIONS: Understanding the key steps and the critical factors involved in the process of developing the workbook could help in the planning of similar and other tools aimed to support the implementation of WHO guidance. A plan for dissemination and implementation needs to be addressed during the preparation of these tools.

To adopt, to adapt, or to contextualise? The big question in clinical practice guideline development.

AIM: Developing new clinical practice guidelines (CPGs) can be time-consuming and expensive. A more efficient approach could be to adopt, adapt or contextualise recommendations from existing good quality CPGs so that the resultant guidance is tailored to the local context. RESULTS: The first steps are to search for international CPGs that have a similar purpose, end-users and patients to your situation. The second step is to critically appraise the methodological quality of the CPGs to ensure that your guidance is based on credible evidence. Then the decisions begin. Can you simply 'adopt' this (parent) clinical practice guidelines, and implement the recommendations in their entirety, without any changes, in your setting? If so, then no further work is required. However this situation is rare. What is more likely, is that even if recommendations from the parent clinical practice guidelines can be adopted, how they are implemented needs to address local issues. Thus you may need to 'contextualise' the guidance, by addressing implementation issues such as local workforce, training, health systems, equipment and/or access to services. Generally this means that additional information is required (Practice/Context Points) to support effective implementation of the clinical practice guidelines recommendations. In some cases, you may need to 'adapt' the guidance, where you will make changes to the recommendations so that care is relevant to your local environments. This may involve additional work to search for local research, or obtain local consensus, regarding how best to adapt recommendations. For example, adaptation might reflect substituting one drug for another (drugs have similar effects, but the alternative drug to the recommended one may be cheaper, more easily obtained or more culturally acceptable). There is lack of standardisation of clinical practice guidelines terminology, leading clinical practice guideline activities often being poorly conceptualised or reported. We provide an approach that would help improve efficiency and standardisation of clinical practice guidelines activities.

Culture or anonymity? Differences in proposer behaviour in Korea and Germany.

This study explores the proposer behaviour in an ultimatum game (UG) frame under anonymous and non-anonymous conditions among a Korean and German subject pool (n = 590) in comparison. Whereas the anonymous condition is represented by the standard UG, the non-anonymous condition integrates an aggregate of the Korean cultural context variables university affiliation, regional origin and seniority. The latter, a classic Confucian context variable, is measured by age differentials. The former two are impactful components of so-called Yongo networks, a unique Korean informal institution identical to Chinese Guanxi ties. Yongo networks, yet underrepresented in research, are said to be a central context variable to explain Korean social ties and decision-making behaviour. We observe significant differences between the offer behaviours of Korean and German subjects when exposing selected cultural variables. We argue that the behavioural differences observed are in fact due to culture not anonymity.