4 resultados para ICD

em Universidade Federal do Rio Grande do Norte(UFRN)


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Measures of mortality represent one of the most important indicators of health conditions. For comprising the larger rate of deaths, the study of mortality in the elderly population is regarded as essential to understand the health situation. In this sense, the present study aims to analyze the mortality profile of the population from 60 to 69 (young elders) and older than 80 years old (oldest old) in the Rio Grande do Norte state (Brazil) in the period 2001 to 2011, and to identify the association with contextual factors and variables about the quality of the Mortality Information System (SIM). For this purpose, Mortality Proportional (MP) was calculated for the state and Specific Mortality Rate by Age (CMId) , according to chapters of ICD- 10, to the municipalities of Rio Grande do Norte , through data from the Mortality Information System (SIM) and the Brazilian Institute of Geography and Statistics (IGBE). In order to identify groups of municipalities with similar mortality profiles, Nonhierarchical Clustering K-means method was applied and the Factor Analysis by the Principal Components Analysis was resort to reduce contextual variables. The spatial distribution of these groups and the factors were visualized using the Spatial Analysis Areas technique. During the period investigated, 21,813 younger elders deaths were recorded , with a predominance of deaths from circulatory diseases (32.75%) and neoplasms (22.9 %) . Among the oldest old, 50,637 deaths were observed, which 35.26% occurred because of cardiovascular diseases and 17.27% of ill-defined causes. Clustering Analysis produced three clusters to the two age groups and Factor Analysis reduced the contextual variables into three factors, also the sum of the factor scores was considered. Among the younger elders, the groups are called misinformation profile, development profile and development paradox, which showed a statistically significant association with education and poverty and extreme poverty factors, factorial sum and the variable related to underreporting of deaths. Misinformation profile remained in the oldest old group, accompanied by the epidemiological transition profile and the epidemiological paradox, that were statistically associated with the development and health factor, as well as with the variables that indicate the SIM quality: proportion of blank fields about the schooling and underreporting. It proposed that the mortality profiles of the younger elders and oldest old differ on the importance of the basic causes and that are influenced by different contextual aspects , observing that 60 to 69 years group is more affected by such aspects. Health inequalities can be reduced by measures aimed to improve levels of education and poverty, especially in younger elders, and by optimizing the use of health services, which is more associated to the oldest old health situation. Furthermore, it is important to improve the quality of information for the two age groups

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The aim of the present study was to trace the mortality profile of the elderly in Brazil using two neighboring age groups: 60 to 69 years (young-old) and 80 years or more (oldest-old). To do this, we sought to characterize the trend and distinctions of different mortality profiles, as well as the quality of the data and associations with socioeconomic and sanitary conditions in the micro-regions of Brazil. Data was collected from the Mortality Information System (SIM) and the Brazilian Institute of Geography and Statistics (IBGE). Based on these data, the coefficients of mortality were calculated for the chapters of the International Disease Classification (ICD-10). A polynomial regression model was used to ascertain the trend of the main chapters. Non-hierarchical cluster analysis (K-Means) was used to obtain the profiles for different Brazilian micro-regions. Factorial analysis of the contextual variables was used to obtain the socio-economic and sanitary deprivation indices (IPSS). The trend of the CMId and of the ratio of its values in the two age groups confirmed a decrease in most of the indicators, particularly for badly-defined causes among the oldest-old. Among the young-old, the following profiles emerged: the Development Profile; the Modernity Profile; the Epidemiological Paradox Profile and the Ignorance Profile. Among the oldest-old, the latter three profiles were confirmed, in addition to the Low Mortality Rates Profile. When comparing the mean IPSS values in global terms, all of the groups were different in both of the age groups. The Ignorance Profile was compared with the other profiles using orthogonal contrasts. This profile differed from all of the others in isolation and in clusters. However, the mean IPSS was similar for the Low Mortality Rates Profile among the oldest-old. Furthermore, associations were found between the data quality indicators, the CMId for badly-defined causes, the general coefficient of mortality for each age group (CGMId) and the IPSS of the micro-regions. The worst rates were recorded in areas with the greatest socioeconomic and sanitary deprivation. The findings of the present study show that, despite the decrease in the mortality coefficients, there are notable differences in the profiles related to contextual conditions, including regional differences in data quality. These differences increase the vulnerability of the age groups studied and the health iniquities that are already present.

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Unfavorable working conditions constitute one of the factors that may contribute to cause psychic suffering and behavioral disorders in workers. This research aimed to characterize the working conditions public servant technical- administrative , specifically the auxiliaries and assistants in administration of the Federal University of Rio Grande do Norte – UFRN, Natal, Brasil, as well to identify the incidence of psychic suffering in this group of public servants. As a strategy, we chose a case study of multi-method type, descriptive with quantitative and qualitative sequential steps. For this, it initially performed desk research by surveying epidemiological data for these public servants working in central campus, to identify the major diseases presented in the period from January 2011 to June 2014. Then, we proceeded to diagnostic step of the aspects related to work, by applying online and in loco of Working Conditions Survey (already validated by Borges et al., 2013a) in 11 sectors selected according to the following criteria: high number of workers public servants and major and minor percentage of absences for health care for ICD-F (according to records of Sector of Workers Health Care - DAS). In the treatment of the data the spreadsheet editor software Microsoft Office Excel and statistical SPSS Statistical Package for Social Sciences were used and made qualifying type of content analysis of open questions. Applied to this study 174 public servants and the results show a predominance of absenteeism due to mental or behavioral disorders (ICD F), musculoskeletal diseases (ICD M) and respiratory system (ICD J). Among the factors that were significant are the working hours (contractual and legal); Physical Effort (M = 2.59) and workspace (M = 2.58) - physical and material conditions; encouraging collaboration (M = 3.5) - processes and characteristics of the work; and participation (M = 1.78) - social-management environment. Therefore, it infers the existence of a relationship between these factors and some of the reasons for absenteeism reported by participants. It is suggested the expansion of this research with studies involving other professionals (including scholarship workers and contractors) and specific sectors.

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The increasing prevalence of Repetitive Strain Injury / Work-Related Musculoskeletal Disorders (RSI / MSDs) has been explained by changes in the work that has been characterized by setting goals and productivity. This fact does not take into account the psycho-physiological characteristics of workers who become ill as a result of professional activities engaged in and also the adverse conditions in which his work was done. This study aimed to analyze the RSI / MSDs reported in the state of Rio Grande do Norte, Brazil, 2010-2014 compared to the profile of the population, epidemiological aspects and features of these diseases. It is a descriptive epidemiological cross-sectional study using secondary data obtained in the Notifiable Diseases Information System (SINAN) in May 2015 was used as the area covered by the Rio Grande do Norte. Data were collected regarding the grievances of work-related RSI / MSDs, assigned by the Worker's Health Reference Center (CEREST) of the State Health Department. Data were processed with the help of Microsoft Excel® 2013 and presented in tables in absolute frequency (n) and relative frequency (%). The results showed a total of 403 notifications of RSI / MSDs, where the vast majority 72% (290) was recorded in Natal. Regarding the profile of notified employees, 88.59% (357) have aged between 25 and 54 years, 62.78% (253) were female, and in relation to education, 31.51% (127) had high school complete. The most affected occupations were seamstresses (the clothing industry) with 24.97% (97), followed by masons, construction with 3.23% (13) and cashiers with 2.99% (12). About the work situation, 75.93% (306) had a formal contract, however, were sent to Communications Occupational accidents (CAT) only 67% (270) of the cases. Regarding the signs and symptoms, pain and limitation of movement were the most mentioned respectively with 98.01% (395) and 95.04% (383) of notifications. Notifications, 94.29% (380) showed exposure to repetitive movements in their workplace. The most frequent specific diagnoses were synovitis and tenosynovitis (CID F 65), with 30.02% (121) of notifications, followed by back pain (CID F 54) to 19.35% (78) and shoulder injuries (ICD M 75) with 15.88% (64). They were away from work 81.64% (329) of workers reported with RSI / MSDs. Evolution more prevalent among cases was temporary disability with 75.68% (305). It was concluded that the SINAN is a database of potential to characterize the profile of RSI / MSDs, requiring, however, an improvement in the coverage of records and data quality. In addition, this study reflects the need to implement protection strategies to workers by companies, signaling promotion, prevention and rehabilitation aimed at reducing these injuries and the improvement of occupational health indicators in Rio Grande do Norte.