5 resultados para Fam
Resumo:
INTRODUCTION Familial history of melanoma is a well-known risk factor for the disease, and 7% melanoma patients were reported to have a family history of melanoma. Data relating to the frequency and clinical and pathological characteristics of both familial and non-familial melanoma in Spain have been published, but these only include patients from specific areas of Spain and do not represent the data for the whole of Spain. PATIENTS AND METHODS An observational study conducted by the Spanish Group of Melanoma (GEM) analyzed the family history of patients diagnosed with melanoma between 2011 and 2013 in the dermatology and oncology departments. RESULTS In all, 1047 patients were analyzed, and 69 (6.6%) fulfilled criteria for classical familial melanoma (two or more first-degree relatives diagnosed with melanoma). Taking into account other risk factors for familial melanoma, such as multiple melanoma, pancreatic cancer in the family or second-degree relatives with melanoma, the number of patients fulfilling the criteria increased to 165 (15.8%). Using a univariate analysis, we determined that a Breslow index of less than 1 mm, negative mitosis, multiple melanoma, and a history of sunburns in childhood were more frequent in familial melanoma patients, but a multivariate analysis revealed no differences in any pathological or clinical factor between the two groups. CONCLUSIONS Similar to that observed in other countries, familial melanoma accounts for 6.6% of melanoma diagnoses in Spain. Although no differences in the multivariate analysis were found, some better prognosis factors, such as Breslow index, seem more frequent in familial melanoma, which reflect a better early detection marker and/or a different biological behavior.
Resumo:
Goal: To learn more about the social support available to patients participating in a prison methadone maintenance program (PMM). Methodology: Descriptive, with controls. Setting: A penitentiary in Albolote (Granada) Population Sample: The total prison population was 1,579; 364 patients were included in the PMM; 35 were female and 329 were male. 60 patients, 7 women and 53 men, were used as cases. 30 non-drug dependent prisoners, 3 women and 27 men, were the control group. They had no antecedents of problems with drug addiction. Interventions: Interviews with cases and controls to learn about their addictive antecedents, family structure, socio-economic level, and a hetero-applied MOS questionnaire was completed. Percentages of each social support variable were obtained and compared using the chi-squared technique. Results: The overall support received is low in 38 cases (74.5%) and in 9 controls (30%): p = 0.0001. OR 0.1466, confidence interval at 95% (0.0538-0.3989). Support received is normal in 13 cases (25%) and 21 controls (70%): p = 0.0007. OR 0.69, confidence interval at 95% (0.44-0.93). All of the variables were statistically significant for non-drug addicts, except for emotional support, which was the same for both groups. Conclusion: The perception of inmates participating in the methadone maintenance program was that they received less social support than the non-drug dependent inmates.
Resumo:
Goal: To study an August 2004 outbreak of brucellosis notified in Velez-Rubio (Almeria) and to determine the source of that infection as well as its transmission mechanisms, in addition to proposing preventive measures. Methodology: Descriptive study and paired case controls (three controls were selected for each case). Setting: Health Centers in de Vélez-Rubio (Almeria) and Alcalá de Guadaira (Seville). Population: Suspected/probable case: a person with compatible clinical symptoms and positive brusella agglutination diagnosed between July 2005 and March 2005. Confirmed case: in addition to identifying the causal agent, laboratory test results resulted in a confirmation. Interventions: Report forms, epidemiological surveys, clinical histories, and laboratory tests were used as sources of data. Odds ratios (OR) and confidence intervals were calculated to study the relationship among cases, sources of infection, and transmission mechanisms. The Chi Square test and Yates correction were employed. Results: 10 cases were identified (9 in Almeria and 1 in Seville), 8 of them pobable and 2 confirmed, in persons between the ages of 45 and 81. The symptoms first appeared between the months of May and September 2005. Fever was the most frequent symptom (100%). The OR for the consumption of fresh, non.-pasteurized cheese was 112 (CI 4,48-16968,94), p< 0,001. Infected animals were intervened. Conclusions: The inter-provincial outbreak of brucellosis was confirmed as stemming from the consumption of non-pasteurized cheese sold on the street. The source of infection was identified and the Department of Agriculture carried out the necessary actions.
Resumo:
BACKGROUND Missed, delayed or incorrect diagnoses are considered to be diagnostic errors. The aim of this paper is to describe the methodology of a study to analyse cognitive aspects of the process by which primary care (PC) physicians diagnose dyspnoea. It examines the possible links between the use of heuristics, suboptimal cognitive acts and diagnostic errors, using Reason's taxonomy of human error (slips, lapses, mistakes and violations). The influence of situational factors (professional experience, perceived overwork and fatigue) is also analysed. METHODS Cohort study of new episodes of dyspnoea in patients receiving care from family physicians and residents at PC centres in Granada (Spain). With an initial expected diagnostic error rate of 20%, and a sampling error of 3%, 384 episodes of dyspnoea are calculated to be required. In addition to filling out the electronic medical record of the patients attended, each physician fills out 2 specially designed questionnaires about the diagnostic process performed in each case of dyspnoea. The first questionnaire includes questions on the physician's initial diagnostic impression, the 3 most likely diagnoses (in order of likelihood), and the diagnosis reached after the initial medical history and physical examination. It also includes items on the physicians' perceived overwork and fatigue during patient care. The second questionnaire records the confirmed diagnosis once it is reached. The complete diagnostic process is peer-reviewed to identify and classify the diagnostic errors. The possible use of heuristics of representativeness, availability, and anchoring and adjustment in each diagnostic process is also analysed. Each audit is reviewed with the physician responsible for the diagnostic process. Finally, logistic regression models are used to determine if there are differences in the diagnostic error variables based on the heuristics identified. DISCUSSION This work sets out a new approach to studying the diagnostic decision-making process in PC, taking advantage of new technologies which allow immediate recording of the decision-making process.