Noncompliance with Therapeutic Guidelines for Chronic Hepatitis B Patients in Minas Gerais, Brazil.
Cristiane Faria Oliveira ScarponiMarco Antônio Ferreira PedrosaMarcos Paulo Gomes MolDirceu Bartolomeu GrecoPublished in: Infectious disease reports (2022)
Standardized treatment regimens for chronic hepatitis B (CHB) are crucial in suppressing viral replication, disease progression and the development of complications. However, information on routine compliance with such therapeutic recommendations in medical practice is rare. Aim: To evaluate the application of Brazilian therapeutic guidelines for CHB within the scope of the Unified Health System in Minas Gerais state. Four key recommendations from the national guidelines were compared with data from treated patients: (i) eligibility to start treatment; (ii) type of treatment applied; (iii) rescue antiviral therapy; and (iv) monitoring of virological response. Most physicians (69.8%) declared to adopt these guidelines, while 10 of them were unaware. However, according to the criteria established by the guidelines, only 39.5% of treated patients should have been considered "truly" eligible to start treatment and only 67.6% of these underwent the recommended pharmacological treatment. The virological response was laboratory monitored in just over a third of patients. Rescue therapy was adequately supplanted in 41.2% of patients previously treated with lamivudine. There was low compliance with national guidelines by public service physicians in Brazil, highlighting the need to raise awareness of the importance of its adherence to expand the control of CHB. Thus, increasing the adherence of health professionals to this tool is a current challenge for health institutions and managers.
Keyphrases
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- healthcare
- ejection fraction
- peritoneal dialysis
- primary care
- clinical practice
- mental health
- emergency department
- prognostic factors
- stem cells
- hepatitis b virus
- type diabetes
- signaling pathway
- adipose tissue
- risk assessment
- machine learning
- quality improvement
- weight loss
- combination therapy
- artificial intelligence