Percepção da equipe de saúde, discentes e usuários sobre a comunicação com indivíduos surdos na atenção primária

The study aimed to identify in the professionals and students of health courses that work in a health Basic Unit in the city of Natal/RN their perceptions of the care of deaf patients, and with the population's needs with hearing loss in relation to health care. This is a cross-sectional, exploratory, descriptive study, conducted between April to July 2014, with a population composed of 21 health professionals, 17 students and 8 deaf users. For data collection, we used a structured questionnaire with open and closed questions applied to groups composed of health professionals (doctors, dentists, nurses and health workers) and students of medical schools, nursing, physical education, nutrition and social service. The professionals/students answered a semi-structured questionnaire with open and closed questions concerning the possible difficulties the care of the deaf and hearing impaired. Data collection with deaf users was conducted through filmed interview for the Brazilian Sign Language (Libras) could be interpreted as to the Portuguese by the researcher. With the latter it was conducted a survey of their reactions when looking for a care in the health service. Regarding the profile of identification of the subjects, it was analyzed by simple descriptive statistics (absolute and relative frequencies). The open questions were analyzed through the content analysis technique which allowed the categorization process preserving all the points raised in the discussion so that the lines were representative of the whole. When asked about the professionals and students attitude used to communicate with deaf patients possible the following categories emerged: the "writing", the "gestures" and the "third party assistance". With regard of the deaf, when asked about their experiences in seeking care in health, the elucidated categories were: "quality of care to the hearing impaired", "communication with the hearing impaired adequacy" and "dependence on third parties." The closed questions were measured and adapted to the 5 degrees of variation Likert Scale, which comprised three of these issues: degree of difficulty in communication to meet a patient with hearing loss (minimum to great difficulty); feeling of comfort while using sign language (minimum to severe discomfort); and knowledge of the Law 10.436, which provides for the Brazilian Sign Language (Libras) (low knowledge to entirely clear). The data collected with professionals and students revealed some misunderstanding and discomfort in health care for deaf patients, reality also evidenced in the opinion of the deaf participants. This study revealed problems in communication, resulting in negative consequences in serving this population. This diagnosis may be relevant to public policy development and curriculum guidelines essential to the training of health professionals, inclusion and improving assistance to deaf.

Graph analysis of verbal fluency test discriminate between patients with Alzheimer’s disease, Mild Cognitive Impairment and normal elderly controls

Verbal fluency is the ability to produce a satisfying sequence of spoken words during a given time interval. The core of verbal fluency lies in the capacity to manage the executive aspects of language. The standard scores of the semantic verbal fluency test are broadly used in the neuropsychological assessment of the elderly, and different analytical methods are likely to extract even more information from the data generated in this test. Graph theory, a mathematical approach to analyze relations between items, represents a promising tool to understand a variety of neuropsychological states. This study reports a graph analysis of data generated by the semantic verbal fluency test by cognitively healthy elderly (NC), patients with Mild Cognitive Impairment – subtypes amnestic(aMCI) and amnestic multiple domain (a+mdMCI) - and patients with Alzheimer’s disease (AD). Sequences of words were represented as a speech graph in which every word corresponded to a node and temporal links between words were represented by directed edges. To characterize the structure of the data we calculated 13 speech graph attributes (SGAs). The individuals were compared when divided in three (NC – MCI – AD) and four (NC – aMCI – a+mdMCI – AD) groups. When the three groups were compared, significant differences were found in the standard measure of correct words produced, and three SGA: diameter, average shortest path, and network density. SGA sorted the elderly groups with good specificity and sensitivity. When the four groups were compared, the groups differed significantly in network density, except between the two MCI subtypes and NC and aMCI. The diameter of the network and the average shortest path were significantly different between the NC and AD, and between aMCI and AD. SGA sorted the elderly in their groups with good specificity and sensitivity, performing better than the standard score of the task. These findings provide support for a new methodological frame to assess the strength of semantic memory through the verbal fluency task, with potential to amplify the predictive power of this test. Graph analysis is likely to become clinically relevant in neurology and psychiatry, and may be particularly useful for the differential diagnosis of the elderly.