Integrated care approaches and skills mix policies in Europe

ABSTRACT - Background: Integration of health care services is emerging as a central challenge of health care delivery, particularly for patients with elderly and complex chronic conditions. In 2003, the World Health Organization (WHO) already began to identify it as one of the key pathways to improve primary care. In 2005, the European Commission declared integrated care as vital for the sustainability of social protection systems in Europe. Nowadays, it is recognized as a core component of health and social care reforms across European countries. Implementing integrated care requires coordination between settings, organizations, providers and professionals. In order to address the challenge of integration in such complex scenario, an effective workforce is required capable of working across interdependent settings. The World Health Report 2006 noted that governments should prepare their workforce and explore what tasks the different levels of health workers are trained to do and are capable of performing (skills mix). Comparatively to other European countries, Portugal is at an early stage in what integrated care is concerned facing a growing elderly population and the subsequent increase in the pressure on institutions and professionals to provide social and medical care in the most cost-effective way. In 2006 the Portuguese government created the Portuguese Network for Integrated Care Development (PNICD) to solve the existing long-term gap in social support and healthcare. On what concerns health workforce, the Portuguese government already recognized the importance of redefine careers keeping professional motivation and satisfaction. Aim of the study: This study aims to contribute new evidence to the debate surrounding integrated care and skills mix policies in Europe. It also seeks to provide the first evidence that incorporates both the current dynamics of implementing integrated care in Portugal and the developments of international literature. The first ambition of our study is to contribute to the growing interest in integrated care and to the ongoing research in this area by identifying its different approaches and retrieve a number of experiences in some European countries. Our second goal of this research is to produce an update on the knowledge developed on skills mix to the international healthcare management community and to policy makers involved in reforming healthcare systems and organizations. To better inform Portuguese health policies makers in a third stage we explore the current dynamics of implementing integrated care in Portugal and contextualize them with the developments reported in the international literature. Methodology: This is essentially an exploratory and descriptive study using qualitative methodology. In order to identify integrated care approaches in Europe, a systematic literature review was undertaken which resulted in a paper published in the Journal of Management and Marketing in Health care titled: Approaches to developing integrated care in Europe: a systematic literature review. This article was recommended and included into a list of references identified by The King's Fund Library. A second systematic literature review was undertaken which resulted in a paper published in the International Journal of Healthcare Management titled: Skills mix in healthcare: An international update for the management debate. Semi-structured interviews were performed on experts representing the regional coordination teams of the Portuguese Network for Integrated Care Development. In a last stage a questionnaire survey was developed based on the findings of both systematic literature reviews and semi-structured interviews. Conclusions: Even though integrated care is a worldwide trend in health care reforms, there is no unique definition. Definitions can be grouped according to their sectorial focus: community-based care, combined health and social care, combined acute and primary care, the integration of providers, and in a more comprehensive approach the whole health system. Indeed, models that seek to apply the principles of integrated care have a similar background and are continually evolving and depend on the different initiatives taken at national level. . Despite the fact that we cannot argue that there is one single set typology of models for integrated care, it is possible to identify and categorize some of the basic approaches that have been taken in attempts to implement integrated care according to: changes in organizational structure, workforce reconfiguring, and changes in the financing system. The systematic literature review on skills mix showed that despite the widely acknowledged interest on skills mix initiatives there is a lack of evidence on skills mix implications, constraints, outcomes, and quality impact that would allow policy makers to take sustained and evidence-based decisions. Within the Portuguese health system, the integrated care approach is rather organizational and financial, whereas little attention is given to workforce integration. On what concerns workforce planning Portugal it is still in the stage of analyzing the acceptability of health workforce skills mix. In line with the international approaches, integration of health and social services and bridging primary and acute care are the main goals of the national government strategy. The findings from our interviews clarify perceptions which show no discrepancy with the related literature but are rather scarce comparing to international experience. Informants hold a realistic but narrow view of integrated care related issues. They seem to be limited to the regional context, requiring a more comprehensive perspective. The questionnaire developed in this thesis is an instrument which, when applied, will allow policy makers to understand the basic set of concepts and managerial motivations behind national and regional integrated care programs. The instrument developed can foster evidence on the three essential components of integrated care policies: organizational, financial, and human resources development, and can give additional input on the context in which integrated care is being developed, the type of providers and organizations involved, barriers and constraints, and the workforce skills mix planning related strategies. The thesis was successful in recognizing differences between countries and interventions and the instrument developed will allow a better comprehension of the international options available and how to address the vital components of integrated care programs.

Knowledge management framework based on brain models and human physiology

The life of humans and most living beings depend on sensation and perception for the best assessment of the surrounding world. Sensorial organs acquire a variety of stimuli that are interpreted and integrated in our brain for immediate use or stored in memory for later recall. Among the reasoning aspects, a person has to decide what to do with available information. Emotions are classifiers of collected information, assigning a personal meaning to objects, events and individuals, making part of our own identity. Emotions play a decisive role in cognitive processes as reasoning, decision and memory by assigning relevance to collected information. The access to pervasive computing devices, empowered by the ability to sense and perceive the world, provides new forms of acquiring and integrating information. But prior to data assessment on its usefulness, systems must capture and ensure that data is properly managed for diverse possible goals. Portable and wearable devices are now able to gather and store information, from the environment and from our body, using cloud based services and Internet connections. Systems limitations in handling sensorial data, compared with our sensorial capabilities constitute an identified problem. Another problem is the lack of interoperability between humans and devices, as they do not properly understand human’s emotional states and human needs. Addressing those problems is a motivation for the present research work. The mission hereby assumed is to include sensorial and physiological data into a Framework that will be able to manage collected data towards human cognitive functions, supported by a new data model. By learning from selected human functional and behavioural models and reasoning over collected data, the Framework aims at providing evaluation on a person’s emotional state, for empowering human centric applications, along with the capability of storing episodic information on a person’s life with physiologic indicators on emotional states to be used by new generation applications.

Control in distribution networks with demand side management

The way in which electricity networks operate is going through a period of significant change. Renewable generation technologies are having a growing presence and increasing penetrations of generation that are being connected at distribution level. Unfortunately, a renewable energy source is most of the time intermittent and needs to be forecasted. Current trends in Smart grids foresee the accommodation of a variety of distributed generation sources including intermittent renewable sources. It is also expected that smart grids will include demand management resources, widespread communications and control technologies required to use demand response are needed to help the maintenance in supply-demand balance in electricity systems. Consequently, smart household appliances with controllable loads will be likely a common presence in our homes. Thus, new control techniques are requested to manage the loads and achieve all the potential energy present in intermittent energy sources. This thesis is focused on the development of a demand side management control method in a distributed network, aiming the creation of greater flexibility in demand and better ease the integration of renewable technologies. In particular, this work presents a novel multi-agent model-based predictive control method to manage distributed energy systems from the demand side, in presence of limited energy sources with fluctuating output and with energy storage in house-hold or car batteries. Specifically, here is presented a solution for thermal comfort which manages a limited shared energy resource via a demand side management perspective, using an integrated approach which also involves a power price auction and an appliance loads allocation scheme. The control is applied individually to a set of Thermal Control Areas, demand units, where the objective is to minimize the energy usage and not exceed the limited and shared energy resource, while simultaneously indoor temperatures are maintained within a comfort frame. Thermal Control Areas are overall thermodynamically connected in the distributed environment and also coupled by energy related constraints. The energy split is performed based on a fixed sequential order established from a previous completed auction wherein the bids are made by each Thermal Control Area, acting as demand side management agents, based on the daily energy price. The developed solutions are explained with algorithms and are applied to different scenarios, being the results explanatory of the benefits of the proposed approaches.

Critical analysis of the allocation policy for liver transplantation in Brazil

Liver transplantation is now the standard treatment for end-stage liver disease. Given the shortage of liver donors and the progressively higher number of patients waiting for transplantation, improvements in patient selection and optimization of timing for transplantation are needed. Several solutions have been suggested, including increasing the donor pool; a fair policy for allocation, not permitting variables such as age, gender, and race, or third-party payer status to play any role; and knowledge of the natural history of each liver disease for which transplantation is offered. To observe ethical rules and distributive justice (guarantee to every citizen the same opportunity to get an organ), the "sickest first" policy must be used. Studies have demonstrated that death has no relationship with waiting time, but rather with the severity of liver disease at the time of inclusion. Thus, waiting time is no longer part of the United Network for Organ Sharing distribution criteria. Waiting time only differentiates between equally severely diseased patients. The authors have analyzed the waiting list mortality and 1-year survival for patients of the State of São Paulo, from July 1997 through January 2001. Only the chronological criterion was used. According to "Secretaria de Estado da Saúde de São Paulo" data, among all waiting list deaths, 82.2% occurred within the first year, and 37.6% within the first 3 months following inclusion. The allocation of livers based on waiting time is neither fair nor ethical, impairs distributive justice and human rights, and does not occur in any other part of the world.

Abstract computation in schizophrenia detection through artificial neural network based systems

Schizophrenia stands for a long-lasting state of mental uncertainty that may bring to an end the relation among behavior, thought, and emotion; that is, it may lead to unreliable perception, not suitable actions and feelings, and a sense of mental fragmentation. Indeed, its diagnosis is done over a large period of time; continuos signs of the disturbance persist for at least 6 (six) months. Once detected, the psychiatrist diagnosis is made through the clinical interview and a series of psychic tests, addressed mainly to avoid the diagnosis of other mental states or diseases. Undeniably, the main problem with identifying schizophrenia is the difficulty to distinguish its symptoms from those associated to different untidiness or roles. Therefore, this work will focus on the development of a diagnostic support system, in terms of its knowledge representation and reasoning procedures, based on a blended of Logic Programming and Artificial Neural Networks approaches to computing, taking advantage of a novel approach to knowledge representation and reasoning, which aims to solve the problems associated in the handling (i.e., to stand for and reason) of defective information.

Assessment and management of the geomorphological heritage of Monte Pindo (NW Spain): a landscape as a symbol of identity

This study focuses on the granite mountain known as Monte Pindo (627 m above sea level) in the Autonomous Community of Galicia (NW Spain). This territory is included in the area classified as “Costa da Morte” in the “Politica de Ordenación Litoral” (POL) (Coastal Planning Policy) for the region of Galicia. This coastal unit, located between “Rías Baixas” and “Cape Fisterra” has great potential for demonstrating geological processes and its geomorphological heritage is characterized by a high degree of geodiversity of granite landforms. The main objective of our work is to assess the geomorphological heritage of the site, thus revealing its wide geodiversity. We shall analyze and highlight: its scientific value, developing an inventory of granite landforms; its educational valuel and its geotouristic potential. It must be ensured that the Administration understands that natural diversity is composed of both geodiversity and biodiversity. Only then will the sustainable management of Monte Pindo become possible by integrating natural and cultural heritage values. The goal is to ensure that Monte Pindo and its immediate surroundings become a geopark with the aim of promoting local development projects based on the conservation and valorization of its geological heritage.

Redes interorganizacionais nas políticas públicas: atores, conexões e configurações organizacionais

Tese de Doutoramento em Sociologia

Objective function based fuzzy clustering in air traffic management

Data analysis, fuzzy clustering, fuzzy rules, air traffic management

The Barcelonnettes: an example of network-entrepreneurs in XIX century Mexico. An explanation based on a theory of bounded rational choice with social embeddedness

A theory of network-entrepreneurs or "spin-off system" is presented in this paper for the creation of firms based on the community’s social governance. It is argued that firm’s capacity for accumulation depends on the presence of employees belonging to the same social/ethnic group with expectations of "inheriting" the firm and becoming entrepreneurs once they have been selected for their merits and loyalty towards their patrons. Such accumulation is possible because of the credibility of the patrons’ promises of supporting newcomers due to high social cohesion and specific social norms prevailing in the community. This theory is exemplified through the case of the Barcelonnettes, a group of immigrants from the Alps in the South of France (Provence) who came to Mexico in the XIX Century.

Fiscal insurance and debt management in OECD economies

Assuming the role of debt management is to provide hedging against fiscal shocks we consider three questions: i) what indicators can be used to assess the performance of debt management? ii) how well have historical debt management policies performed? and iii) how is that performance affected by variations in debt issuance? We consider these questions using OECD data on the market value of government debt between 1970 and 2000. Motivated by both the optimal taxation literature and broad considerations of debt stability we propose a range of performance indicators for debt management. We evaluate these using Monte Carlo analysis and find that those based on the relative persistence of debt perform best. Calculating these measures for OECD data provides only limited evidence that debt management has helped insulate policy against unexpected fiscal shocks. We also find that the degree of fiscal insurance achieved is not well connected to cross country variations in debt issuance patterns. Given the limited volatility observed in the yield curve the relatively small dispersion of debt management practices across countries makes little difference to the realised degree of fiscal insurance.

A Bootstrap Neural Network Based Heterogeneous Panel Unit Root Test: Application to Exchange Rates

This paper proposes a bootstrap artificial neural network based panel unit root test in a dynamic heterogeneous panel context. An application to a panel of bilateral real exchange rate series with the US Dollar from the 20 major OECD countries is provided to investigate the Purchase Power Parity (PPP). The combination of neural network and bootstrapping significantly changes the findings of the economic study in favour of PPP.

“Policy Scepticism” and the Impact of London-based Higher Education Institutions (HEIs) on the economy of England: Accounting for Alternative Uses of Public Expenditure

This paper replicates the analysis of Scottish HEIs in Hermannsson et al (2010a) for the case of London-based HEIs’ impact on the English economy in order to provide a self-contained analysis that is readily accessible by those whose primary concern is with the regional impacts of London HEIs. A “policy scepticism” has emerged that challenges the results of conventional regional HEI impact analyses. This denial of the importance of the expenditure impacts of HEIs appears to be based on a belief in either a binding regional resource constraint or a regional public sector budget constraint. In this paper we provide a systematic critique of this policy scepticism. However, while rejecting the extreme form of policy scepticism, we argue that it is crucial to recognise the importance of alternative uses of public expenditure, and show how conventional impact analyses can be augmented to accommodate this. While our results suggest that conventional impact studies overestimate the expenditure impacts of HEIs, they also demonstrate that the policy scepticism that treats these expenditure effects as irrelevant neglects some key aspects of HEIs, in particular their export intensity.

EEG-based functional brain networks: does the network size matter?

Functional connectivity in human brain can be represented as a network using electroencephalography (EEG) signals. These networks--whose nodes can vary from tens to hundreds--are characterized by neurobiologically meaningful graph theory metrics. This study investigates the degree to which various graph metrics depend upon the network size. To this end, EEGs from 32 normal subjects were recorded and functional networks of three different sizes were extracted. A state-space based method was used to calculate cross-correlation matrices between different brain regions. These correlation matrices were used to construct binary adjacency connectomes, which were assessed with regards to a number of graph metrics such as clustering coefficient, modularity, efficiency, economic efficiency, and assortativity. We showed that the estimates of these metrics significantly differ depending on the network size. Larger networks had higher efficiency, higher assortativity and lower modularity compared to those with smaller size and the same density. These findings indicate that the network size should be considered in any comparison of networks across studies.