Ludmila Barbosa Bandeira Rodrigues

Assessment of the coordination of integrated health service delivery networks by the primary health care: COPAS questionnaire validation in the Brazilian context

BackgroundHealth systems organized as networks and coordinated by the Primary Health Care (PHC) may contribute to the improvement of clinical care, sanitary conditions, satisfaction of patients and reduction of local budget expenditures. The aim of this study was to adapt and validate a questionnaire - COPAS - to assess the coordination of Integrated Health Service Delivery Networks by the Primary Health Care.MethodsA cross sectional approach was used. The population was pooled from Family Health Strategy healthcare professionals, of the Alfenas region (Minas Gerais, Brazil). Data collection was performed from August to October 2013. The results were checked for the presence of floor and ceiling effects and the internal consistency measured through Cronbach alpha. Construct validity was verified through convergent and discriminant values following Multitrait-Multimethod (MTMM) analysis.ResultsFloor and ceiling effects were absent. The internal consistency of the instrument was satisfactory; as was the convergent validity, with a few correlations lower then 0.30. The discriminant validity values of the majority of items, with respect to their own dimension, were found to be higher or significantly higher than their correlations with the dimensions to which they did not belong.ConclusionThe results showed that the COPAS instrument has satisfactory initial psychometric properties and may be used by healthcare managers and workers to assess the PHC coordination performance within the Integrated Health Service Delivery Network.

Quality of primary health care: an analysis of avoidable hospitalizations in a Minas Gerais county, Brazil

The aim of the study was to evaluate the quality of primary health care based on avoidable hospitalizations of men and women of all ages, from 2008 to 2012 in Alfenas County in the south of Minas Gerais state. This was an ecological study based on data from the Hospital Information System (HIS). The medical diagnoses selected for the study were pneumonia, diabetes mellitus and diseases of the circulatory system. There was a predominance of elderly males diagnosed with pneumonia, with an average hospital stay of five days. Admission rates for diseases of the circulatory system and diabetes mellitus tended to remain stable during the study period. While for pneumonia there was a tendency of growth that reached a plateau in early March 2009, bringing the average rate up from 2.01 to 3.51. The data suggest that primary health care is poorly organized to meet these diagnoses, particularly for pneumonia.

Pulmonary tuberculosis in São Luis, State of Maranhão, Brazil: space and space-time risk clusters for death (2008-2012)

INTRODUCTION The objective was to identify space and space-time risk clusters for the occurrence of deaths in a priority city for the control of tuberculosis (TB) in the Brazilian Northeast. METHODS Ecological research was undertaken in the City of São Luis/Maranhão. Cases were considered that resulted in deaths in the population living in the urban region of the city with pulmonary TB as the basic cause, between 2008 and 2012. To detect space and space-time clusters of deaths due to pulmonary TB in the census sectors, the spatial analysis scan technique was used. RESULTS In total, 221 deaths by TB occurred, 193 of which were due to pulmonary TB. Approximately 95% of the cases (n=183) were geocoded. Two significant spatial clusters were identified, the first of which showed a mortality rate of 5.8 deaths per 100,000 inhabitants per year and a high relative risk of 3.87. The second spatial cluster showed a mortality rate of 0.4 deaths per 100,000 inhabitants per year and a low relative risk of 0.10. A significant cluster was observed in the space-time analysis between 11/01/2008 and 04/30/2011, with a mortality rate of 8.10 deaths per 100,000 inhabitants per year and a high relative risk (3.0). CONCLUSIONS The knowledge of priority sites for the occurrence of deaths can support public management to reduce inequities in the access to health services and permit an optimization of the resources and teams in the control of pulmonary TB, providing support for specific strategies focused on the most vulnerable populations.

Spatial analysis of avoidable hospitalizations due to tuberculosis in Ribeirao Preto, SP, Brazil (2006-2012)

ABSTRACT OBJECTIVE To describe the spatial distribution of avoidable hospitalizations due to tuberculosis in the municipality of Ribeirao Preto, SP, Brazil, and to identify spatial and space-time clusters for the risk of occurrence of these events. METHODS This is a descriptive, ecological study that considered the hospitalizations records of the Hospital Information System of residents of Ribeirao Preto, SP, Southeastern Brazil, from 2006 to 2012. Only the cases with recorded addresses were considered for the spatial analyses, and they were also geocoded. We resorted to Kernel density estimation to identify the densest areas, local empirical Bayes rate as the method for smoothing the incidence rates of hospital admissions, and scan statistic for identifying clusters of risk. Softwares ArcGis 10.2, TerraView 4.2.2, and SaTScanTM were used in the analysis. RESULTS We identified 169 hospitalizations due to tuberculosis. Most were of men (n = 134; 79.2%), averagely aged 48 years (SD = 16.2). The predominant clinical form was the pulmonary one, which was confirmed through a microscopic examination of expectorated sputum (n = 66; 39.0%). We geocoded 159 cases (94.0%). We observed a non-random spatial distribution of avoidable hospitalizations due to tuberculosis concentrated in the northern and western regions of the municipality. Through the scan statistic, three spatial clusters for risk of hospitalizations due to tuberculosis were identified, one of them in the northern region of the municipality (relative risk [RR] = 3.4; 95%CI 2.7–4,4); the second in the central region, where there is a prison unit (RR = 28.6; 95%CI 22.4–36.6); and the last one in the southern region, and area of protection for hospitalizations (RR = 0.2; 95%CI 0.2–0.3). We did not identify any space-time clusters. CONCLUSIONS The investigation showed priority areas for the control and surveillance of tuberculosis, as well as the profile of the affected population, which shows important aspects to be considered in terms of management and organization of health care services targeting effectiveness in primary health care.

The impact of social inequities on mortality due to pulmonary tuberculosis in São Luis, Maranhão, Brazil.

Introduction: Authors theorize about the relation between social inequities and death by tuberculosis. Nevertheless, the literature is restricted as to verifying the relation between these events in view of space. Therefore, the study objective was to identify areas with social inequity and its impact on the mortality rate by pulmonary tuberculosis.Methods: Ecological study, which considered deaths from pulmonary tuberculosis in the urban area of the city between 2008 and 2012, available in Mortality Information System. For the construction of the social inequity indicator, the principal component analysis was used, Multiple linear regression with the least squares method and spatial regression were used to verify the impact of inequity on mortality by TB. The spatial dependence was confirmed using Moran’s Global Index.Results: 193 deaths were identified. The social inequity was statistically associated with the mortality (R2=23.86%) in the multiple linear regression model with spatial dependence (Moran I=0.285; p<0.001), which evidenced the highest rates of mortality in the weighted areas with high and intermediate social inequity.Conclusion: Social inequity explains mortality by tuberculosis in the city investigated. To reduce the deaths by 95% until 2035, the actions the health authorities have established should not only promote better access to medical and diagnostic technologies, but also actions that promote the social development of the areas and their resident populations