scholarly journals Meeting the complex challenge of health and social care provision for rapidly-ageing populations: introducing the concept of “avoidable displacement from home”

2020 ◽  
Vol 36 (3) ◽  
Author(s):  
Peter Lloyd-Sherlock ◽  
Jenny Billings ◽  
Janaína de Souza Aredes ◽  
João Bastos Freire Neto ◽  
Ana Amélia Camarano ◽  
...  

Abstract: The increasing numbers of people at very old ages pose specific policy challenges for health and social care and highlight the need to rethink established models of service provision. The main objective of this paper is to introduce the concept of “avoidable displacement from home” (ADH). The study argues that ADH builds on and adds value to existing concepts, offering a holistic, person-centered framework for integrated health and social care provision for older people. It also demonstrates that this framework can be applied across different levels, ranging from macro policymaking to organizational and individual decision-making. The paper pays attention to the Brazilian context but argues that ADH is a universally applicable concept.

2020 ◽  
Author(s):  
Fiona Keogh ◽  
Tom Pierse ◽  
David Challis ◽  
Eamon O'Shea

Abstract Background: The understanding of appropriate or optimal care is particularly important for dementia, characterised by multiple, long-term, changing needs and the increasing expectations of people using services, within a wider context of resource constrained health and social care services. This study sought to determine the optimal level, mix and cost of services for different dementia case types across the dementia continuum and to gain a greater understanding of the resource allocation decision making process among health and social care professionals (HSCPs).Methods: A balance of care (BoC) framework was applied to the study questions and developed in three important ways; firstly by considering optimality across the course of dementia and not just at the margin with residential care; secondly, through the introduction of a fixed budget to reveal constrained optimisation strategies; and thirdly through the use of a mixed methods design whereby qualitative data was collected at workshops using nominal group technique and analysed to obtain a more detailed understanding of the decision-making process. Twenty four HSCPs from a variety of disciplines participated in the resource allocation decision-making exercise.Results: HSCPs differentiated between case type severity; providing about 2.6 times more resources to case types with higher level needs than those with lower level needs. When a resource constraint was introduced there was no evidence of any disproportionate rationing of services on the basis of need, i.e. more severe case types were not favoured over less severe case types. However, the fiscal constraint led to a much greater focus on meeting physical and clinical dependency needs through conventional social care provision. There was less emphasis on day care and psychosocial provision when resources were scarcer following the introduction of a fixed budget constraint.Conclusions: HSCPs completed complex resource allocation exercises for people with dementia, including expected differentiation across case type severity. When rationing was introduced, HSCPs did not discriminate in favour of case types with high levels of need. They did, however, support conventional home care provision over psychosocial care, although participants were still keen to provide some residual cover for the latter, especially for case types that might benefit.


2016 ◽  
Vol 15 (3) ◽  
pp. 288-303 ◽  
Author(s):  
Gavin Brookes ◽  
Kevin Harvey

Abstract Since its implementation, the British Government’s controversial 2013 Health and Social Care Act has had far-reaching effects on health care provision in England, not least the creation of 212 regional practitioner-led clinical commissioning groups (CCGs) which are now responsible for much of the service provision across the country. Taking as an example the website of one of these new commissioning groups, this study shows that multimodal critical discourse analysis (MCDA) can reveal how health and social care matters are being increasingly framed within a corporate and neoliberal set of ideas, values, identities and social relations. Despite government assurances that the Act preserves the (non-commercial) founding values of the NHS, our MCDA provides textual evidence of the influence of neoliberal and commercial discourses operating across this particular website, which appear to be just as much about promoting an appealing corporate identity as responding to the practical, day-to-day concerns of patients.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Fiona Keogh ◽  
Tom Pierse ◽  
David Challis ◽  
Eamon O’Shea

Abstract Background The understanding of appropriate or optimal care is particularly important for dementia, characterised by multiple, long-term, changing needs and the increasing expectations of people using services. However, the response of health and social care services is limited by resource constraints in most countries. This study sought to determine the optimal level, mix and cost of services for different dementia case types across the dementia continuum, and to better understand the resource allocation decision making process among health and social care professionals (HSCPs). Methods A balance of care framework was applied to the study questions and developed in three ways; firstly by considering optimality across the course of dementia and not just at the margin with residential care; secondly, through the introduction of a fixed budget to reveal constrained optimisation strategies; and thirdly through the use of a mixed methods design whereby qualitative data was collected at workshops using nominal group technique and analysed to obtain a more detailed understanding of the decision-making process. Twenty four HSCPs from a variety of disciplines participated in the resource allocation decision-making exercise. Results HSCPs differentiated between case type severity; providing 2.6 times more resources to case types with higher level needs than those with lower level needs. When a resource constraint was introduced there was no evidence of any disproportionate rationing of services on the basis of need, i.e. more severe case types were not favoured over less severe case types. However, the fiscal constraint led to a much greater focus on meeting physical and clinical dependency needs through conventional social care provision. There was less emphasis on day care and psychosocial provision when resources were scarcer following the introduction of a fixed budget constraint. Conclusions HSCPs completed complex resource allocation exercises for people with dementia, including expected differentiation across case type severity. When rationing was introduced, HSCPs did not discriminate in favour of case types with high levels of need. They did, however, support conventional home care provision over psychosocial care, although participants were still keen to provide some residual cover for the latter, especially for case types that might benefit.


2009 ◽  
pp. 42-61
Author(s):  
A. Oleynik

Power involves a number of models of choice: maximizing, satisficing, coercion, and minimizing missed opportunities. The latter is explored in detail and linked to a particular type of power, domination by virtue of a constellation of interests. It is shown that domination by virtue of a constellation of interests calls for justification through references to a common good, i.e. a rent to be shared between Principal and Agent. Two sources of sub-optimal outcomes are compared: individual decision-making and interactions. Interactions organized in the form of power relationships lead to sub-optimal outcomes for at least one side, Agent. Some empirical evidence from Russia is provided for illustrative purposes.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eric Bogert ◽  
Aaron Schecter ◽  
Richard T. Watson

AbstractAlgorithms have begun to encroach on tasks traditionally reserved for human judgment and are increasingly capable of performing well in novel, difficult tasks. At the same time, social influence, through social media, online reviews, or personal networks, is one of the most potent forces affecting individual decision-making. In three preregistered online experiments, we found that people rely more on algorithmic advice relative to social influence as tasks become more difficult. All three experiments focused on an intellective task with a correct answer and found that subjects relied more on algorithmic advice as difficulty increased. This effect persisted even after controlling for the quality of the advice, the numeracy and accuracy of the subjects, and whether subjects were exposed to only one source of advice, or both sources. Subjects also tended to more strongly disregard inaccurate advice labeled as algorithmic compared to equally inaccurate advice labeled as coming from a crowd of peers.


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