HIV Vertical transmission in Rio de Janeiro, Brazil - does the distance matter?

Geographic accessibility to health facilities predicts uptake of community-based tuberculosis screening in an urban setting

Objectives:

Annually, more than 30% of individuals with tuberculosis (TB) remain undiagnosed. We aimed to assess whether geographic accessibility measures can identify neighborhoods that would benefit from TB screening services targeted toward closing the diagnosis gap.

Methods:

We used data from a community-based mobile TB screening program in Carabayllo district, Lima, Peru. We constructed four accessibility measures from the geographic center of neighborhoods to health facilities. We used logistic regression to assess the association between these measures and screening uptake in one’s residential neighborhood versus elsewhere, with quasi-information criterion values to assess the association.

Results:

We analyzed the screening locations for 25,000 Carabayllo residents from 49 neighborhoods. Pedestrian walk time was preferable to Euclidean distance or vehicular time in our models. For each additional 12 minutes walking time between the neighborhood and the health facility, the odds of residents using TB screening units located in their neighborhoods increased by 50% (95% CI: 26%–78%). Females had 9% (95% CI: 3%–16%) increased odds versus males of using a screening unit in their own neighborhood.

Conclusion:

Placing mobile TB screening units in neighborhoods with longer pedestrian time to access health facilities could benefit individuals who face more acute access barriers to health care.

Survival time and distance to access specialized treatment among people living with HIV/Aids in the state of Alagoas, Brazil

OBJECTIVE

To evaluate the effect of the distance between the place of residence and the specialized treatment service on the survival time of people living with HIV/Aids in Alagoas, Northeast Brazil.

METHODS

Data from the notification and mortality systems related to individuals aged 13 years or older diagnosed with the infection between 2007 and 2013 were used. The cases were observed for a period of follow-up until December 2017. For the analyses, the Pearson's χ2 test, Kaplan-Meier method, and Cox regression were adopted according to the outcome of the case, place of residence, distance to the health unit, population size of the municipality of residence, sex, skin color/ethnicity, and age.

RESULTS

Of the 2,732 analyzed cases, 760 individuals died of Aids-related causes. The average estimate of survival time for individuals residing in the capital was 98.6 months (95%CI 96.1-101). Among residents of inland cities, the estimate was 92.7 months (95%CI 89.3-96.1). There was a significant difference in curves throughout the period. The group residing in inland municipalities and those traveling a distance of >70 km had a higher average relative risk of death (RR=1.21, 95%CI 1.05-1.4 and RR=1.18, 95%CI 1.01-1.39, respectively).

CONCLUSION

Living in or near the capital decreases the average relative risk of death. In order to increase the survival time of HIV/Aids patients in Alagoas, it is suggested to decentralize specialized health care, that is, to create regional centers to care for these people.

Spatial and temporal analysis of the human immunodeficiency virus in an area of social vulnerability in Northeast Brazil

Human Immunodeficiency Virus (HIV) infection still represents an important public health problem, because it involves clinical, epidemiological, social, economic and political issues. We analyzed the temporal and spatial pattern of the HIV incidence in an area of social inequality in northeast Brazil and its association with socioeconomic indicators. An ecological study was carried out with a focus on all HIV cases reported in Alagoas State, Northeast Brazil from 2007 to 2016 using its 102 municipalities as the units of our analysis. Data from the Brazilian information systems were used. Georeferenced data were analyzed using TerraView 4.2.2 software, QGis 2.18.2 and GeoDa 1.14.0. Time trend analyses were performed by the Joinpoint Regression software and the spatial analyses included the empirical Bayesian model and Moran autocorrelation. Spatial regression was used to determine the influence of space on HIV incidence rate and socioeconomic inequalities. There was an increasing trend of HIV rates, especially in the municipalities of the interior. Significant spatial correlations were observed with the formation of clusters with emphasis on the coast of the state and in tourist regions. Spatial regression explained 46% of the dependent variable. The HIV incidence rate was positively influenced by rate of primary health care units (P=0.00), and negatively by Gini index (P=0.00) and proportion of heads of household without or low education (P=0.02). We conclude that the relationship found between indicators of better socioeconomic conditions and HIV infection suggests unequal access to the diagnosis of infection. Prevention and control strategies can be established according to each epidemiological reality.