Dataset Information

Critical reflections on a visit to an inner-city primary health care clinic in Rio de Janeiro.

ABSTRACT: Brazil and South Africa share many sociodemographic and health features that provide many learning opportunities. Brazil's national health system, the Sistema Único de Saúde (SUS) prioritises primary health care since 1994, the year democracy came to South Africa. Two family physicians from these countries met in Rocinha favela in Rio de Janeiro, a densely populated area where poverty, danger, drugs, tuberculosis and mental illness are the focus of the health system.Maria do Socorro Family Clinic: Central to the SUS are the Family Health Teams, consisting of community health workers, nurses, doctors and allied health workers. This clinic in Rocinha has 11 teams, caring for 2700 people each, all visited monthly, preventing illness and promoting health. Patients with mental illness are cared for in a therapeutic residency, with an onsite psychiatrist, psychologist and social worker. The relationships between the health carers and the clinic and the community are collegial and equal, sharing care. Larger than life photos of patients from the community line the walls.Training: A culture of learning is evident, with 18 family medicine residents, student nurses, a small library and a learning centre at the clinic. Local authorities compensate trainees in family medicine more than traditional specialties.Brazil has made massive progress in providing universal health coverage over the last 20 years. South Africa, with not too dissimilar challenges, is embarking on this road more recently. The lessons learnt at clinic and community level in this inner-city clinic could be very useful for similar settings in South Africa and other countries.

SUBMITTER: Jenkins LS

PROVIDER: S-EPMC5566122 | biostudies-other | 2017 Jul

REPOSITORIES: biostudies-other

ACCESS DATA

Similar Datasets

Project description:Brazil has a concentrated HIV epidemic and men who have sex with men (MSM) are disproportionately affected. Yet, no data is available on the HIV care cascade for this population. This study aimed to assess the HIV care cascade among MSM newly diagnosed through innovative testing strategies in Rio de Janeiro. Data from 793 MSM and travestites/transgender women (transwomen) tested for HIV at a non-governmental LGBT organization and a mobile testing unit located at a gay friendly venue were analyzed. A 12-month-after-HIV-diagnosis-censored cohort was established using CD4, viral load and combination antiretroviral therapy (cART) longitudinal data from those diagnosed with HIV. A cross-sectional HIV care cascade was built using this data. The relative risks of achieving each cascade-stage were estimated using generalized linear models according to age, self-declared skin-color, education, history of sexually transmitted diseases (STD), drug use and prior HIV testing. From Jan-2013 to Jan-2014, 793 MSM and transwomen were tested, 131 (16.5%) were HIV-infected. As of January 2015, 95 (72.5%) were linked to HIV care, 90 (68.7%) were retained in HIV care, 80 (61.1%) were on cART, and 50 (38.2%) were virally suppressed one year after HIV diagnosis. Being non-white (Relative risk [lower bound; upper bound of 95% confidence interval] = 1.709 [1.145; 2.549]) and having a prior HIV-test (1.954 [1.278; 2.986]) were associated with an HIV-positive diagnosis. A higher linkage (2.603 [1.091; 6.211]) and retention in care (4.510 [1.880; 10.822]) were observed among those who were older than 30 years of age. Using community-based testing strategies, we were able to access a high-risk MSM population and a small sample of transwomen. Despite universal care coverage and the test-and-treat policy adopted in Brazil, the MSM cascade of care indicates that strategies to increase linkage to care and prompt cART initiation targeted to these populations are critically needed. Interventions targeting non-white and young MSM should be prioritized.

Dataset Information

Critical reflections on a visit to an inner-city primary health care clinic in Rio de Janeiro.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets