Use and self-medication with antibiotics among adults in the Brazilian Amazon: a panel of two cross-sectional studies, 2015 and 2019

Determinants of antibiotic self-medication: A systematic review and meta-analysis

BACKGROUND

Decreasing the prevalence of antibiotic self-medication among the public requires proper understanding of the risk factors involved. However, the determinants of antibiotic self-medication are not well defined.

OBJECTIVES

To identify patient and health system-related determinants of antibiotic self-medication among the public.

METHODS

A systematic review of quantitative observational studies and qualitative studies was undertaken. PubMed, Embase, and Web of Science were searched to identify studies on determinants of antibiotic self-medication. The data were analyzed using meta-analysis, descriptive analysis, and thematic analysis.

RESULTS

Sixty-eight studies were included in the review. From meta-analyses, male sex (pooled odds ratio [POR]: 1.52, 95% confidence interval [CI]: 1.19-1.75), lack of satisfaction with healthcare services/physicians (POR: 3.53, 95% CI: 2.26-4.75) were associated with antibiotic self-medication. In subgroup analysis, lower age was directly associated with self-medication in high-income countries (POR: 1.61, 95% CI: 1.10-2.36). In low- and middle-income countries, people with greater knowledge of antibiotics were less likely to self-medicate (POR: 0.2, 95% CI: 0.08-0.47). Patient-related determinants identified from descriptive and qualitative studies included previous experience with antibiotics and similar symptoms, perceived low severity of disease, intention to save time and get better quickly, cultural beliefs about curative power of antibiotics, advice from family/friends, and having home stock of antibiotics. Health system-related determinants included high cost of consulting physicians and low cost of self-medication, lack of access to physician/medical care, lack of trust/confidence in physicians, greater trust in pharmacists, long distance of physicians/healthcare facilities, long waiting time at healthcare facilities, easy access to antibiotics from pharmacies, and convenience associated with self-medication.

CONCLUSIONS

Patient and health system-related determinants are associated with antibiotic self-medication. Interventions to decrease antibiotic self-medication should incorporate community programs along with appropriate policies and healthcare reforms targeting these determinants with specific attention to population at high risk of self-medication.

Health services utilization in the Brazilian Amazon: panel of two cross-sectional studies

OBJECTIVE

To investigate the use of health services among adults living in Manaus, Amazonas.

METHODS

This was a panel of two cross-sectional studies conducted in Manaus in 2015 and 2019. Individuals aged ≥ 18 years were selected by probabilistic sampling and interviewed at home. The study outcomes were doctor visits and hospitalizations in the previous 12 months, and unmet surgical needs. Variations between 2015 and 2019 were tested using chi-squared goodness-of-fit test. Poisson regression with robust variance was employed to calculate the prevalence ratios (PR) of the outcomes with 95% confidence intervals (95%CI).

RESULTS

The surveys included 5,800 participants in total. Visits to the doctor decreased from 2015 (78.7%) to 2019 (76.3%; p < 0.001), hospital admissions increased from 2015 (7.9%) to 2019 (11.5%; p < 0.001), and unmet surgical needs decreased in the period (15.9% to 12.1%; p < 0.001). These variations were particularly observed in vulnerable individuals – sicker; poorer; non-whites; and those belonging to lower social classes, with less access to education, formal jobs, and health insurance (p < 0.05). Doctor visits were higher in people with fair health status (PR = 1.09; 95%CI 1.06–1.12), health insurance (PR = 1.13; 95%CI 1.09–1.17), and chronic diseases (p < 0.001) but lower in men (PR = 0.87; 95%CI 0.84–0.90) and informal workers (PR = 0.89; 95%CI 0.84–0.94). Hospitalizations were higher in people with worse health statuses (p < 0.001), without partners (PR = 1.27; 95%CI 1.05–1.53), and with multimorbidity (PR = 1.68; 95%CI 1.33–2.12) but lower in men (PR = 0.55; 95%CI 0.44–0.68), older adults (p < 0.001), informal workers (PR = 0.67; 95%CI 0.51–0.89), and unemployed (PR = 0.72; 95%CI 0.53–0.97). Unmet surgical needs were higher in older adults (p < 0.001), middle-class people (PR = 1.24; 95%CI 1.01–1.55), worse health statuses (p < 0.001), and chronic diseases (p < 0.001) but lower in men (PR = 0.76; 95%CI 0.65–0.86).

CONCLUSIONS

From 2015 to 2019, less people visited the doctor, more were admitted to hospitals, and less were in need of surgery or aware of that need, potentially indicating poorer access to health services.

Prevalence of depressive and anxiety symptoms and their relationship with life-threatening events, tobacco dependence and hazardous alcohol drinking: a population-based study in the Brazilian Amazon

BACKGROUND

The burden of mental health disorders is high and may be particularly alarming in developing countries. We assessed the prevalence of depressive and anxiety symptoms and their relationship with life-threatening events, tobacco dependence, and hazardous alcohol drinking in the Brazilian Amazon.

METHODS

Cross-sectional population-based study conducted in Manaus in 2019 with adults selected by probabilistic sampling. Depressive symptoms were measured by the PHQ-9 instrument (cut-off ≥9) and anxiety symptoms by the GAD-7 scale (cut-off ≥10). Prevalence ratios (PRs) of depressive and anxiety symptoms were calculated by Poisson regression with robust variance with 95% confidence intervals (CI) following a hierarchical model. Partial least squares structural equation modeling was used to investigate the relationship between the outcomes and risk behaviors.

RESULTS

Out of the 2,321 participants, 24.3% (95%CI 22.2-26.5%) had depressive and 21.6% (95%CI 19.6-23.7%) had anxiety symptoms. Depressive symptoms were more frequent in women (PR=1.32; 95%CI 1.08-1.61), lower social class (PR=1.59; 95%CI 1.11-2.27), life-threatening events (PR=2.66; 95%CI 2.00-3.54), tobacco dependence (PR=1.84; 95%CI 1.37-2.47), worse health statuses (p<0.001), and chronic diseases (PR=1.63; 95%CI 1.33-2.00), but were lower in older adults (p=0.014). Anxiety symptoms were higher in women (PR=1.74; 95%CI 1.42-2.14), lower educational levels (PR=2.19; 95%CI 1.38-3.47), evangelical individuals (PR=1.28; 95%CI 1.05-1.57), having no religion (PR=1.72; 95%CI 1.24-2.38), life-threatening events (PR=3.26; 95%CI 2.41-4.41), tobacco dependence (PR=1.53; 95%CI 1.09-2.16), worse health statuses (p<0.001), and chronic diseases (PR=1.77; 95%CI 1.40-2.25). Depressive symptoms, anxiety symptoms, and life-threatening events were directly correlated with one another, while tobacco dependence and hazardous alcohol drinking were significantly intercorrelated (p<0.05).

LIMITATIONS

Cross-sectional design limits the assessment of causality. Recall bias was possible as responses were self-reported. GAD-7 scale was not validated in the Brazilian population.

CONCLUSION

Nearly a quarter of the population had depressive symptoms and one-fifth presented anxiety symptoms, which were associated with socioeconomic, behavioral, and health-related factors. Implementation of social well-being policies is required to minimize the burden of mental health disorders in the Amazonian population.

Consumption and Lack of Access to Medicines and Associated Factors in the Brazilian Amazon: A Cross-Sectional Study, 2019

Objective

We aimed to investigate the consumption and lack of access to medicines in the adult population of Manaus, Amazonas.

Methods

A population-based study was conducted in Manaus in 2019. Individuals aged ≥18 years were selected by probabilistic sampling performed in three stages. Study outcomes included the consumption of medicines in the previous fortnight and the lack of access to treatments in those who used any medicine. We calculated the prevalence ratios (PR) for the outcomes with 95% confidence intervals (CI) by Poisson regression with robust variance, considering the complex sampling design.

Results

Out of the 2,321 participants, 53.2% (95%CI 50.7-55.7%) consumed medicines, of which 14.4% (95% CI 11.9-16.8%) could not obtain appropriate treatments. Analgesics were the most used medicines (557/2,702; 21.4%), whereas antibiotics were the most inaccessible treatments (18/228; 7.9%). Lack of financial resources was the main reason for not accessing treatments (104/228; 45.6%). Consumption was significantly associated with older age (≥60 years: PR = 1.27; 95%CI 1.09-1.49), lower social class (D/E: PR = 0.84; 95%CI 0.72-0.99), lower educational level (p = 0.039), poor health status (PR = 1.30; 95%CI 1.11-1.52), use of health care services (PR = 1.37; 95%CI 1.26-1.49), and chronic diseases (PR = 1.36; 95%CI 1.22-1.52). Lack of access was higher in people with poor health status (PR = 2.46; 95%CI 1.50-4.04) and chronic diseases (PR = 1.84; 95%CI 1.16-2.92).

Conclusion

Half of Manaus' population used medicines, which was higher in socially privileged and sicker individuals. Among those, 14 in every 100 could not access drug therapies, which was more frequent in people with poor health and with chronic diseases.