Clinical research and strategies to strengthening it

Carvalho, Emı́lia Campos de

doi:10.1590/s0104-11692011000100001

Cited by 7 publications

(2 citation statements)

References 6 publications

(5 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This finding corroborates the findings of Morais et al [22], Silva et al [23], Coutinho et al [24] and Nicholas [25], showing that women make up the majority of students in DE courses.…”

Section: Discussionsupporting

confidence: 92%

Pedagogical monitoring as a tool to reduce dropout in distance learning in family health

2016

View full text Add to dashboard Cite

BackgroundThis paper presents the results of a study of the Monsys monitoring system, an educational support tool designed to prevent and control the dropout rate in a distance learning course in family health. Developed by UNA-SUS/UFMA, Monsys was created to enable data mining in the virtual learning environment known as Moodle.MethodsThis is an exploratory study using documentary and bibliographic research and analysis of the Monsys database. Two classes (2010 and 2011) were selected as research subjects, one with Monsys intervention and the other without. The samples were matched (using a ration of 1:1) by gender, age, marital status, graduation year, previous graduation status, location and profession. Statistical analysis was performed using the chi-square test and a multivariate logistic regression model with a 5 % significance level.ResultsThe findings show that the dropout rate in the class in which Monsys was not employed (2010) was 43.2 %. However, the dropout rate in the class of 2011, in which the tool was employed as a pedagogical team aid, was 30.6 %. After statistical adjustment, the Monsys monitoring system remained in correlation with the course completion variable (adjusted OR = 1.74, IC95% = 1.17–2.59; p = 0.005), suggesting that the use of the Monsys tool, isolated to the adjusted variables, can enhance the likelihood that students will complete the course. Using the chi-square test, a profile analysis of students revealed a higher completion rate among women (67.7 %) than men (52.2 %). Analysis of age demonstrated that students between 40 and 49 years dropped out the least (32.1 %) and, with regard to professional training, nurses have the lowest dropout rates (36.3 %).ConclusionsThe use of Monsys significantly reduced the dropout, with results showing greater association between the variables denoting presence of the monitoring system and female gender.

show abstract

“…This finding corroborates the findings of Morais et al [22], Silva et al [23], Coutinho et al [24] and Nicholas [25], showing that women make up the majority of students in DE courses.…”

Section: Discussionsupporting

confidence: 92%

Pedagogical monitoring as a tool to reduce dropout in distance learning in family health

2016

View full text Add to dashboard Cite

show abstract

“…No correlation was observed between the incidence rate of malaria and the performance of health surveillance services, most likely because these indicators are associated with the performance of the municipal primary health care system, which is poorly integrated with the actions of diagnosis and treatment of malaria [42]. In addition, more specific indicators of the performance of malaria control actions were not associated with the incidence rate of the disease.…”

Section: Discussionmentioning

confidence: 99%

Deforestation, drainage network, indigenous status, and geographical differences of malaria in the State of Amazonas

Terrazas

Sampaio

Castro

et al. 2015

Malar J

View full text Add to dashboard Cite

BackgroundMalaria is a major public health problem worldwide. In Brazil, an average of 420,000 cases of malaria have been reported annually in the last 12 years, of which 99.7 % occurred in the Amazon region. This study aimed to analyse the distribution of malaria in the State of Amazonas and the influence of indigenous malaria in this scenario, to evaluate the correlation between incidence rates and socio-economic and environmental factors, and to evaluate the performance of health surveillance services.MethodsThis ecological study used secondary data obtained from the SIVEP-MALARIA malaria surveillance programme. The relationship between demographic, socio-economic and environmental factors, the performance of health surveillance services and the incidence of malaria in Amazonas, a multiple linear regression model was used.ResultsThe crude rate of malaria in Amazonas was 4142.72 cases per 100,000 inhabitants between 2003 and 2012. The incidence rates for the indigenous and non-indigenous populations were 12,976.02 and 3749.82, respectively, with an indigenous population attributable fraction of only 8 %. The results of the linear regression analysis indicated a negative correlation between the two socio-economic indicators (municipal human development index (MHDI) and poverty rate) and the incidence of malaria in the period. With regard to the environmental indicators (average annual deforestation rate and percentage of areas under the influence of watercourses), the correlation with the incidence rate was positive.ConclusionsThe findings underscore the importance of implementing economic and social development policies articulated with strategic actions of environmental protection and health care for the population.

show abstract