A global model for effective use and evaluation of e-learning in health.

Healthcare systems worldwide face a wide range of challenges, including demographic change, rising drug and medical technology costs, and persistent and widening health inequalities both within and between countries. Simultaneously, issues such as professional silos, static medical curricula, and perceptions of "information overload" have made it difficult for medical training and continued professional development (CPD) to adapt to the changing needs of healthcare professionals in increasingly patient-centered, collaborative, and/or remote delivery contexts. In response to these challenges, increasing numbers of medical education and CPD programs have adopted e-learning approaches, which have been shown to provide flexible, low-cost, user-centered, and easily updated learning. The effectiveness of e-learning varies from context to context, however, and has also been shown to make considerable demands on users' motivation and "digital literacy" and on providing institutions. Consequently, there is a need to evaluate the effectiveness of e-learning in healthcare as part of ongoing quality improvement efforts. This article outlines the key issues for developing successful models for analyzing e-health learning.

A global model for effective use and evaluation of e-learning in health.

Healthcare systems worldwide face a wide range of challenges, including demographic change, rising drug and medical technology costs, and persistent and widening health inequalities both within and between countries. Simultaneously, issues such as professional silos, static medical curricula, and perceptions of "information overload" have made it difficult for medical training and continued professional development (CPD) to adapt to the changing needs of healthcare professionals in increasingly patient-centered, collaborative, and/or remote delivery contexts. In response to these challenges, increasing numbers of medical education and CPD programs have adopted e-learning approaches, which have been shown to provide flexible, low-cost, user-centered, and easily updated learning. The effectiveness of e-learning varies from context to context, however, and has also been shown to make considerable demands on users' motivation and "digital literacy" and on providing institutions. Consequently, there is a need to evaluate the effectiveness of e-learning in healthcare as part of ongoing quality improvement efforts. This article outlines the key issues for developing successful models for analyzing e-health learning.

Supporting the case for “progressive universalism” in health visiting: Scottish mothers and health visitors’ perspectives on targeting and rationing health visiting services, with a focus on the Lothian Child Concern Model.

Aims. To explore parents and professionals’ experience of family assessment in health visiting (public health nursing), with a focus on the Lothian Child Concern Model (LCCM). Background. Health visitors (HVs) currently assess families as requiring core, additional or intensive support, and offer support at a corresponding level. The majority of families are assessed as core and receive no pro-active support beyond the early days. Previous assessment tools, consisting of checklists, have been criticised as being ineffective in identifying a range of health needs and unacceptable to parents and HVs. The LCCM model was developed and introduced in the study area to promote a partnership approach with parents and assess strengths as well as difficulties in parents’ capacity to care for their child. Methods. Qualitative methods were used. Ten mothers and twelve HVs took part in individual semi-structured interviews. Results. Most mothers were aware of the assessment process but some felt that they were not involved in the decision making process. Explaining the assessment process to parents is problematic and not all HVs do so. The assessment process was stressful for some mothers. HVs find the model useful for structuring and documenting the assessment process. Many believe that most families benefit from some support, using public health approaches. Families are often assessed as core because there are insufficient resources to support all those who meet the criteria of the additional category, and managers assess caseloads in terms of families with child protection concerns. Conclusions. The study findings support the concept of “progressive universalism” which provides a continuum of intensity of support to families, depending on need. Mothers would like better partnership working with HVs. Relevance to clinical practice. The study endorses proposed policy changes to re-establish the public health role of HVs and to lower the threshold for families to qualify for support.

Distributed belief revision as applied within a descriptive model of jury deliberations

Belief revision is a well-research topic within AI. We argue that the new model of distributed belief revision as discussed here is suitable for general modelling of judicial decision making, along with extant approach as known from jury research. The new approach to belief revision is of general interest, whenever attitudes to information are to be simulated within a multi-agent environment with agents holding local beliefs yet by interaction with, and influencing, other agents who are deliberating collectively. In the approach proposed, it's the entire group of agents, not an external supervisor, who integrate the different opinions. This is achieved through an election mechanism, The principle of "priority to the incoming information" as known from AI models of belief revision are problematic, when applied to factfinding by a jury. The present approach incorporates a computable model for local belief revision, such that a principle of recoverability is adopted. By this principle, any previously held belief must belong to the current cognitive state if consistent with it. For the purposes of jury simulation such a model calls for refinement. Yet we claim, it constitutes a valid basis for an open system where other AI functionalities (or outer stiumuli) could attempt to handle other aspects of the deliberation which are more specifi to legal narrative, to argumentation in court, and then to the debate among the jurors.

Belief revision as applied within a descriptive model of jury deliberations

Belief revision is a well-researched topic within Artificial Intelligence (AI). We argue that the new model of belief revision as discussed here is suitable for general modelling of judicial decision making, along with the extant approach as known from jury research. The new approach to belief revision is of general interest, whenever attitudes to information are to be simulated within a multi-agent environment with agents holding local beliefs yet by interacting with, and influencing, other agents who are deliberating collectively. The principle of 'priority to the incoming information', as known from AI models of belief revision, is problematic when applied to factfinding by a jury. The present approach incorporates a computable model for local belief revision, such that a principle of recoverability is adopted. By this principle, any previously held belief must belong to the current cognitive state if consistent with it. For the purposes of jury simulation such a model calls for refinement. Yet, we claim, it constitutes a valid basis for an open system where other AI functionalities (or outer stimuli) could attempt to handle other aspects of the deliberation which are more specific to legal narratives, to argumentation in court, and then to the debate among the jurors.

An Innovative Model for the Provision of Practice Learning Opportunities in Family and Child Care: Newry Student Unit, Southern Health and Social Care Trust.

This article describes the work of Newry Student Unit which operates in the Southern Health and Social Care Trust. The background to the unit is outlined and its development is discussed in the context of practice learning provision in Northern Ireland. The operation of the unit in providing Family and Child Care practice learning opportunities (PLOs) for student social workers is outlined and findings from evaluation questionnaires completed by students, college tutors and team leaders are presented. The paper highlights both the advantages and disadvantages of this model of PLO provision and concludes that it is a valuable resource for practice learning. Proposals for the development of the unit are discussed and it is suggested that the model has the potential be replicated in other areas of Northern Ireland.

Rethinking prenatal care within a social model of health: an exploratory study in Northern Ireland

Implementation of maternity reform agendas remains limited by the dominance of a medical rather than social model of health. This article considers group prenatal care as a complex health intervention and explores its potential in the socially divided, postconflict communities of Northern Ireland. Using qualitative inquiry strategies, we sought key informants’ views on existing prenatal care provision and on an innovative group care model (CenteringPregnancy®) as a social health initiative. We argue that taking account of the locally specific context is critical to introducing maternity care interventions to improve the health of women and their families and to contribute to community development.