Abstract
Cardiovascular diseases (CVD) and diabetes mellitus (DM) are chronic non-communicable diseases with high prevalence. Several factors contribute to its lack of control, especially those related to pharmacotherapy, often leading to problems related to the use of medication (DTP). Objective: To identify potential DTPs for the treatment of CVD and DM, as well as associated factors, using big data from users of the Unified Health System (SUS) in a municipality. Methods: A cross-sectional study was carried out based on big data of patients for whom at least one medication was dispensed in SUS pharmacies in the primary healthcare network in April 2019 (n = 4,800). Potential DTPs involving the treatment of CVD or DM were identified based on data on medications dispensed, demographic and clinical characteristics. To classify these potential PRMs, the Pharmacotherapy Workup method was used. Logistic regression analyzes were performed to identify factors associated with identifying at least one potential MRP. Results: The results showed that 25% of the population had at least one potential DTP, with a total of 1,914 potential PRMs being identified. In the multivariate model, age group was statistically associated with the identification of at least one potential DTP. Conclusions: This study allows tracing the frequency of important potential DTPs and associated factors, pointing out some priorities that must be addressed by the public primary health care system, supporting the planning of the implementation of drug therapy management services aimed at the studied population.
Highlights
Cardiovascular diseases (CVD) and diabetes mellitus (DM) are chronic non-communicable diseases (NCDs) diseases of high prevalence that stand out among the others and generate considerable impacts on health systems (Filha et al, 2015)
The analyses on the medication dispensing profile for CVDs and/ or DM presented in this study contribute to expand the knowledge about the most used medications in the municipality for these conditions, in addition to allowing the identification of potential drug therapy problems (DTPs) among primary health care users
Through the inferences made about the potential DTPs identified, it is possible to assess indirectly the potential inadequacy in medication prescription and the factors associated with these problems
Summary
Cardiovascular diseases (CVD) and diabetes mellitus (DM) are chronic non-communicable diseases (NCDs) diseases of high prevalence that stand out among the others and generate considerable impacts on health systems (Filha et al, 2015). In. 2019, it was estimated that 18.6 million people died from cardiovascular disease worldwide, representing the leading cause of disease burden in the world as it has been in Brazil (Roth, 2020; Oliveira et al, 2020). In 2019, approximately 463 million people were living with DM in the world and 16,8 adults in Brazil, which puts the country in the fifth place among the top ten countries with the highest number of individuals with the disease (Atlas IDF, 2019). Deaths and complications resulting from these NCDs range from vascular lesions to heart diseases and severe kidney diseases, which end up requiring significant expenditures from a country's annual health budget (Dib, 2010; Brasil, 2010).
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