Instrumento mensurador de adesão para hipertensos: contribuição da Teoria da Resposta ao Item

OBJETIVO: Analisar instrumento de medição da adesão ao tratamento da hipertensão por meio da "Teoria da Resposta ao Item".MÉTODOS: Estudo analítico com 406 hipertensos com complicações associadas, atendidos na atenção básica em Fortaleza, CE, 2011, pela "Teoria da Resposta ao Item". As etapas de execução foram: teste de dimensionalidade, calibração dos itens; tratamento dos dados e construção da escala, analisadas com base no modelo de resposta gradual. Estudo da dimensionalidade do instrumento foi feito pela análise da matriz de correlação policórica e análise fatorial de informação completa. Utilizou-se o software Multilog para calibração dos itens e estimação dos escores.RESULTADOS: Os itens referentes ao tratamento medicamentoso foram os mais diretamente relacionados à adesão, enquanto aqueles referentes ao tratamento não medicamentoso precisam ser reformulados, pois possuíram menor quantidade de informação psicométrica e baixa discriminação. A independência dos itens, o reduzido número de níveis da escala e as baixas variâncias explicadas no ajuste dos modelos mostraram as principais fragilidades do instrumento analisado. A "Teoria da Resposta ao Item" mostrou-se relevante para análise, pois avaliou o respondente quanto à adesão ao tratamento da hipertensão, ao nível de dificuldade dos itens e à sua capacidade de discriminação entre indivíduos com diferentes níveis de adesão, o que gerou maior quantidade de informação.CONCLUSÕES: O instrumento analisado é limitado para medir a adesão ao tratamento da hipertensão, mediante análise pela "Teoria da Resposta ao Item", e necessita de ajustes. A adequada formulação dos itens é importante para medir precisamente o traço latente desejado.

HIV/AIDS knowledge among men who have sex with men: applying the item response theory

OBJECTIVE To evaluate the level of HIV/AIDS knowledge among men who have sex with men in Brazil using the latent trait model estimated by Item Response Theory. METHODS Multicenter, cross-sectional study, carried out in ten Brazilian cities between 2008 and 2009. Adult men who have sex with men were recruited (n = 3,746) through Respondent Driven Sampling. HIV/AIDS knowledge was ascertained through ten statements by face-to-face interview and latent scores were obtained through two-parameter logistic modeling (difficulty and discrimination) using Item Response Theory. Differential item functioning was used to examine each item characteristic curve by age and schooling. RESULTS Overall, the HIV/AIDS knowledge scores using Item Response Theory did not exceed 6.0 (scale 0-10), with mean and median values of 5.0 (SD = 0.9) and 5.3, respectively, with 40.7% of the sample with knowledge levels below the average. Some beliefs still exist in this population regarding the transmission of the virus by insect bites, by using public restrooms, and by sharing utensils during meals. With regard to the difficulty and discrimination parameters, eight items were located below the mean of the scale and were considered very easy, and four items presented very low discrimination parameter (< 0.34). The absence of difficult items contributed to the inaccuracy of the measurement of knowledge among those with median level and above. CONCLUSIONS Item Response Theory analysis, which focuses on the individual properties of each item, allows measures to be obtained that do not vary or depend on the questionnaire, which provides better ascertainment and accuracy of knowledge scores. Valid and reliable scales are essential for monitoring HIV/AIDS knowledge among the men who have sex with men population over time and in different geographic regions, and this psychometric model brings this advantage.

Criação de uma escala de satisfação com a vida por meio da Teoria da Resposta ao Item

RESUMO Objetivo A satisfação com a vida é um julgamento cognitivo de alguns domínios específicos na vida e depende de uma comparação entre as circunstâncias de vida do indivíduo e um padrão por ele estabelecido. O objetivo deste estudo foi construir uma escala de satisfação com a vida por meio da Teoria da Resposta ao Item (TRI). Métodos Para a criação da escala, foi utilizado o questionário “Estilo de Vida e Hábitos de Lazer de Trabalhadores da Indústria” e a Teoria da Resposta ao Item com base no modelo de resposta gradual proposto por Samejima. Participaram do estudo 47.477 trabalhadores brasileiros da indústria. Resultados A escala contou com sete itens do bloco de perguntas “indicadores de saúde e comportamentos preventivos”, com assuntos relacionados ao estado de saúde, qualidade de sono, nível de estresse, sentimento de tristeza ou depressão e percepção de vida no lar, no trabalho e no lazer. Conclusão São poucos os estudos que tiveram seu foco direcionado à satisfação com a vida no Brasil, e aqueles que de alguma forma o abordaram incluíram somente uma questão específica sobre felicidade ou satisfação de vida, principalmente em estudos sobre o bem-estar subjetivo. Os resultados mostraram que a TRI foi eficiente para criar a escala, medindo principalmente aqueles indivíduos com valores intermediários de satisfação com a vida.

Escala Brasileira de Solidão: Análises de Resposta ao Item e definição dos pontos de corte

RESUMO Objetivo Este estudo investigou as características dos itens da Escala Brasileira de Solidão UCLA (UCLA-BR) e buscou definir os pontos de corte do instrumento para o contexto brasileiro pela Teoria de Resposta ao Item. Métodos Utilizou-se o modelo de Resposta Gradual Politônica nos 20 itens da UCLA-BR, respondidos por 1.438 participantes de seis estados brasileiros. Estimou-se a capacidade de discriminação e dificuldade dos itens. Estimaram-se os pontos de corte para a escala. Resultados A UCLA-BR mostrou boa capacidade para fornecer informações sobre a solidão. Dezesseis itens mostraram capacidade de discriminação alta ou muito alta e quatro mostraram discriminação moderada. Os pontos de corte foram definidos. Conclusões A UCLA-BR mostrou bons índices psicométricos e a Teoria de Resposta ao Item possibilita avanços na análise das qualidades psicométricas de instrumentos.

Teoria da Resposta ao Item

A preocupação com medidas de traços psicológicos é antiga, sendo que muitos estudos e propostas de métodos foram desenvolvidos no sentido de alcançar este objetivo. Entre os trabalhos propostos, destaca-se a Teoria da Resposta ao Item (TRI) que, a princípio, veio completar limitações da Teoria Clássica de Medidas, empregada em larga escala até hoje na medida de traços psicológicos. O ponto principal da TRI é que ela leva em consideração o item particularmente, sem relevar os escores totais; portanto, as conclusões não dependem apenas do teste ou questionário, mas de cada item que o compõe. Este artigo propõe-se a apresentar esta Teoria que revolucionou a teoria de medidas.

Numbers and sets

In this paper I discuss the intuition behind Frege's and Russell's definitions of numbers as sets, as well as Benacerraf's criticism of it. I argue that Benacerraf's argument is not as strong as some philosophers tend to think. Moreover, I examine an alternative to the Fregean-Russellian definition of numbers proposed by Maddy, and point out some problems faced by it.

Prediction of free-stall occupancy rate in dairycattle barns through fuzzy sets

The goal of this study was to develop a fuzzy model to predict the occupancy rate of free-stalls facilities of dairy cattle, aiding to optimize the design of projects. The following input variables were defined for the development of the fuzzy system: dry bulb temperature (Tdb, °C), wet bulb temperature (Twb, °C) and black globe temperature (Tbg, °C). Based on the input variables, the fuzzy system predicts the occupancy rate (OR, %) of dairy cattle in free-stall barns. For the model validation, data collecting were conducted on the facilities of the Intensive System of Milk Production (SIPL), in the Dairy Cattle National Research Center (CNPGL) of Embrapa. The OR values, estimated by the fuzzy system, presented values of average standard deviation of 3.93%, indicating low rate of errors in the simulation. Simulated and measured results were statistically equal (P>0.05, t Test). After validating the proposed model, the average percentage of correct answers for the simulated data was 89.7%. Therefore, the fuzzy system developed for the occupancy rate prediction of free-stalls facilities for dairy cattle allowed a realistic prediction of stalls occupancy rate, allowing the planning and design of free-stall barns.

Clinical signs of pneumonia in children: association with and prediction of diagnosis by fuzzy sets theory

The present study compares the performance of stochastic and fuzzy models for the analysis of the relationship between clinical signs and diagnosis. Data obtained for 153 children concerning diagnosis (pneumonia, other non-pneumonia diseases, absence of disease) and seven clinical signs were divided into two samples, one for analysis and other for validation. The former was used to derive relations by multi-discriminant analysis (MDA) and by fuzzy max-min compositions (fuzzy), and the latter was used to assess the predictions drawn from each type of relation. MDA and fuzzy were closely similar in terms of prediction, with correct allocation of 75.7 to 78.3% of patients in the validation sample, and displaying only a single instance of disagreement: a patient with low level of toxemia was mistaken as not diseased by MDA and correctly taken as somehow ill by fuzzy. Concerning relations, each method provided different information, each revealing different aspects of the relations between clinical signs and diagnoses. Both methods agreed on pointing X-ray, dyspnea, and auscultation as better related with pneumonia, but only fuzzy was able to detect relations of heart rate, body temperature, toxemia and respiratory rate with pneumonia. Moreover, only fuzzy was able to detect a relationship between heart rate and absence of disease, which allowed the detection of six malnourished children whose diagnoses as healthy are, indeed, disputable. The conclusion is that even though fuzzy sets theory might not improve prediction, it certainly does enhance clinical knowledge since it detects relationships not visible to stochastic models.

Selection of patients for myocardial perfusion scintigraphy based on fuzzy sets theory applied to clinical-epidemiological data and treadmill test results

Coronary artery disease (CAD) is a worldwide leading cause of death. The standard method for evaluating critical partial occlusions is coronary arteriography, a catheterization technique which is invasive, time consuming, and costly. There are noninvasive approaches for the early detection of CAD. The basis for the noninvasive diagnosis of CAD has been laid in a sequential analysis of the risk factors, and the results of the treadmill test and myocardial perfusion scintigraphy (MPS). Many investigators have demonstrated that the diagnostic applications of MPS are appropriate for patients who have an intermediate likelihood of disease. Although this information is useful, it is only partially utilized in clinical practice due to the difficulty to properly classify the patients. Since the seminal work of Lotfi Zadeh, fuzzy logic has been applied in numerous areas. In the present study, we proposed and tested a model to select patients for MPS based on fuzzy sets theory. A group of 1053 patients was used to develop the model and another group of 1045 patients was used to test it. Receiver operating characteristic curves were used to compare the performance of the fuzzy model against expert physician opinions, and showed that the performance of the fuzzy model was equal or superior to that of the physicians. Therefore, we conclude that the fuzzy model could be a useful tool to assist the general practitioner in the selection of patients for MPS.