Prevenção terciária em saúde mental : novas respostas em Portugal

RESUMO - Apresenta-se a caracterização e a descrição das novas respostas, bem como dos dispositivos que as permitiram organizar, quanto à prevenção terciária em saúde mental em Portugal. Detalha-se a Região de Lisboa e Vale do Tejo por ser a que mais estruturas criou e que foi alvo do estudo das autoras. Até ao final de 2001 beneficiavam 754 pessoas desta oferta de serviços no nosso país, das quais 473 na Região de Lisboa e Vale do Tejo. A maior parte destes beneficiários, 299, participa em actividades de fórum sócio-ocupacional, estando 99 pessoas inseridas em estruturas residenciais. Daí que se entenda que houve uma melhoria quanto à cobertura de necessidades em termos de prevenção terciária/ reabilitação no nosso país. Considera-se, contudo, que ainda muito está por fazer, uma vez que se continua muito aquém dos ratios de oferta de serviços internacionalmente recomendados. Considera-se desejável que se alargue e aprofunde este projecto, enquadrado com mais rigor em termos de diagnóstico de necessidades nacionais e com uma coordenação mais centralizada que potencie uma melhor gestão do seu quadro de exigências.

A atuação do psicólogo no contexto das referências ambulatoriais em saúde mental de Aracaju - SE

Psychologists‟ insertion in mental healthcare ambulatory clinics occurred during the decade of 1980, in the context of the claims disseminated by sanitary and psychiatric reforms, of the formation of minimum mental healthcare teams and of the retraction of the private clinic. Historically, this migration had been accompanied by the importation of practices traditionally applied at the clinics. Furthermore, the lack of clear guidelines from the Health Ministery occasioned the opening of ambulatory clinics with diversified structures at each city. The objective of this dissertation was to study the practices of psychologists at mental healthcare ambulatory references at Aracaju-SE. Were interviewed psychologists of these services and managers of the municipal health secretary using a semi-structured interview guideline, in addition to the analysis of management reports. It was observed that the mental healthcare references had experienced substantial changes referred to its structures and operation, leading to a present framework of expansion and readjustment. It was realized that there is an effort by the psychologists to maintain individual and group assistance, using adjustments in the frequency of the sessions and in the focus of the activities. Besides the progresses, the relation with the psychiatrist still works basically through the medical record, blocking advances on joint discussions of the cases. Some advances toward the amplified clinic are notable, like the overcoming of the isolated usage of psychiatric diagnostic and the replacement of the line‟ criterion by the urgency one. Sheltering had become an interesting strategy on flux ordination, however the mismatch between offer and demand seems to be a matter which extrapolates the psychologists‟ sphere at the references. For this reason the narrow of the relation with family healthcare centers seems to be the major challenge to be faced by psychologists at mental healthcare ambulatory references

Location and dimensions of the mental foramen: a radiographic analysis by using cone-beam computed tomography

INTRODUCTION The mental foramen (MF) is an important landmark in dentistry. Knowledge of its position is central to perform block anesthesia of the mental nerve or to avoid nerve damage during surgical procedures in the premolar area of the mandible. The present radiographic study aimed at evaluating the location and dimension of the MF and measuring distances to neighboring structures by using limited cone-beam computed tomography (CBCT). METHODS Sagittal, axial, and coronal CBCT images of 142 patients (26 bilateral and 116 unilateral cases) were retrospectively screened to determine the location of the MF with respect to adjacent teeth and to take linear measurements of the size of the MF and its distances to the upper and lower borders of the mandible. In addition, the course and angulation of the mental canal exiting the MF were assessed. RESULTS The majority of MF (56%) were located apically between the 2 premolars, and another 35.7% of MF were positioned below the second premolar. On average, the MF was localized 5.0 mm from the closest root of the adjacent tooth (range, 0.3-9.8 mm). The mean size of the MF showed a height of 3.0 mm and a length of 3.2 mm; however, individual cases showed large differences in height (1.8-5.1 mm) and in length (1.8-5.5 mm). All mental canals exiting the MF demonstrated an upward course in the coronal plane, with 70.1% of the mental canal presenting an anterior loop (AL) in the axial view. The mean extension of AL in cases with an AL was 2.3 mm. CONCLUSIONS This study is consistent with previous radiographic studies regarding size and location of MF and distances between MF and adjacent anatomic structures. The assessed bilateral cases showed a high intraindividual concordance for certain features when comparing right and left sides.

Step by step: correcting our mental image of the mušlālu

The mušlālu, which is usually understood to be a step- or ramped gate, has so far rarely been discussed in much detail, even though the texts mentioning it have been known for a long time. This is no doubt because the evidence on which to base both philological and archaeological investigations appears sparse and scattered. Up to now, scholars have tended to focus on specific mušlālu-structures. Consequently, there are as many discussions as there are mušlālu-structures. This article attempts to get a sense of the broader picture by bringing together the philological and archaeological data hitherto available with the aim of discussing the mušlālu as term and structure, clarifying the semantics and reassessing the architectural identifications. We hope to demonstrate that it is actually possible to take the evidence one step further and correct the mušlālu image that prevails.

A highly conserved protein family interacting with the fragile X mental retardation protein (FMRP) and displaying selective interactions with FMRP-related proteins FXR1P and FXR2P

The absence of the fragile X mental retardation protein (FMRP), encoded by the FMR1 gene, is responsible for pathologic manifestations in the Fragile X Syndrome, the most frequent cause of inherited mental retardation. FMRP is an RNA-binding protein associated with polysomes as part of a messenger ribonucleoprotein (mRNP) complex. Although its function is poorly understood, various observations suggest a role in local protein translation at neuronal dendrites and in dendritic spine maturation. We present here the identification of CYFIP1/2 (Cytoplasmic FMRP Interacting Proteins) as FMRP interactors. CYFIP1/2 share 88% amino acid sequence identity and represent the two members in humans of a highly conserved protein family. Remarkably, whereas CYFIP2 also interacts with the FMRP-related proteins FXR1P/2P, CYFIP1 interacts exclusively with FMRP. FMRP–CYFIP interaction involves the domain of FMRP also mediating homo- and heteromerization, thus suggesting a competition between interaction among the FXR proteins and interaction with CYFIP. CYFIP1/2 are proteins of unknown function, but CYFIP1 has recently been shown to interact with the small GTPase Rac1, which is implicated in development and maintenance of neuronal structures. Consistent with FMRP and Rac1 localization in dendritic fine structures, CYFIP1/2 are present in synaptosomal extracts.

Interagency collaboration between child protection and mental health services: Practices, attitudes and barriers

Objective: The aim of this paper is to examine some of the factors that facilitate and hinder interagency collaboration between child protection services and mental health services in cases where there is a parent with a mental illness and there are protection concerns for the child(ren). The paper reports on agency practices, worker attitudes and experiences, and barriers to effective collaboration. Method: A self-administered, cross-sectional survey was developed and distributed via direct mail or via line supervisors to workers in statutory child protection services, adult mental health services, child and youth mental health services, and Suspected Child Abuse and Neglect (SCAN) Teams. There were 232 completed questionnaires returned, with an overall response rate of 21%. Thirty-eight percent of respondents were statutory child protection workers. 39% were adult mental health workers, 16% were child and youth mental health workers, and 4% were SCAN Team medical officers (with 3% missing data). Results: Analysis revealed that workers were engaging in a moderate amount of interagency contact, but that they were unhappy with the support provided by their agency. Principle components analysis and multivariate analysis of variance (MANOVA) on items assessing attitudes toward other workers identified four factors, which differed in rates of endorsement: inadequate training, positive regard for child protection workers, positive regard for mental health workers, and mutual mistrust (from highest to lowest level of endorsement). The same procedure identified the relative endorsement of five factors extracted from items about potential barriers: inadequate resources, confidentiality, gaps in interagency processes, unrealistic expectations, and professional knowledge domains and boundaries. Conclusions: Mental health and child protection professionals believe that collaborative practice is necessary; however, their efforts are hindered by a lack of supportive structures and practices at the organizational level. (c) 2005 Published by Elsevier Ltd.

An investigation into inductive parameter learning in complex hierarchical knowledge structures representing clinical expertise

This dissertation investigates the very important and current problem of modelling human expertise. This is an apparent issue in any computer system emulating human decision making. It is prominent in Clinical Decision Support Systems (CDSS) due to the complexity of the induction process and the vast number of parameters in most cases. Other issues such as human error and missing or incomplete data present further challenges. In this thesis, the Galatean Risk Screening Tool (GRiST) is used as an example of modelling clinical expertise and parameter elicitation. The tool is a mental health clinical record management system with a top layer of decision support capabilities. It is currently being deployed by several NHS mental health trusts across the UK. The aim of the research is to investigate the problem of parameter elicitation by inducing them from real clinical data rather than from the human experts who provided the decision model. The induced parameters provide an insight into both the data relationships and how experts make decisions themselves. The outcomes help further understand human decision making and, in particular, help GRiST provide more accurate emulations of risk judgements. Although the algorithms and methods presented in this dissertation are applied to GRiST, they can be adopted for other human knowledge engineering domains.

Development of a probabilistic graphical structure from a model of mental health clinical expertise

This thesis explores the process of developing a principled approach for translating a model of mental-health risk expertise into a probabilistic graphical structure. Probabilistic graphical structures can be a combination of graph and probability theory that provide numerous advantages when it comes to the representation of domains involving uncertainty, domains such as the mental health domain. In this thesis the advantages that probabilistic graphical structures offer in representing such domains is built on. The Galatean Risk Screening Tool (GRiST) is a psychological model for mental health risk assessment based on fuzzy sets. In this thesis the knowledge encapsulated in the psychological model was used to develop the structure of the probability graph by exploiting the semantics of the clinical expertise. This thesis describes how a chain graph can be developed from the psychological model to provide a probabilistic evaluation of risk that complements the one generated by GRiST’s clinical expertise by the decomposing of the GRiST knowledge structure in component parts, which were in turned mapped into equivalent probabilistic graphical structures such as Bayesian Belief Nets and Markov Random Fields to produce a composite chain graph that provides a probabilistic classification of risk expertise to complement the expert clinical judgements

Developing a probabilistic graphical structure from a model of mental-health clinical risk expertise

This paper explores the process of developing a principled approach for translating a model of mental-health risk expertise into a probabilistic graphical structure. The Galatean Risk Screening Tool [1] is a psychological model for mental health risk assessment based on fuzzy sets. This paper details how the knowledge encapsulated in the psychological model was used to develop the structure of the probability graph by exploiting the semantics of the clinical expertise. These semantics are formalised by a detailed specification for an XML structure used to represent the expertise. The component parts were then mapped to equivalent probabilistic graphical structures such as Bayesian Belief Nets and Markov Random Fields to produce a composite chain graph that provides a probabilistic classification of risk expertise to complement the expert clinical judgements. © Springer-Verlag 2010.

Defining an OWL ontology that could be used to integrate mental-health risk information within a decision support system

In the field of mental health risk assessment, there is no standardisation between the data used in different systems. As a first step towards the possible interchange of data between assessment tools, an ontology has been constructed for a particular one, GRiST (Galatean Risk Screening Tool). We briefly introduce GRiST and its data structures, then describe the ontology and the benefits that have already been realised from the construction process. For example, the ontology has been used to check the consistency of the various trees used in the model. We then consider potential uses in integration of data from other sources. © 2009 IEEE.