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BackgroundBenzodiazepines are frequently prescribed to treat anxiety and insomnia, but long-term use has been associated with the development of dependence, tolerance, and cognitive decline, especially among older adults. This study aimed to investigate the pattern of consumption and factors associated with inappropriate prescribing of benzodiazepines in primary health care.MethodsThis is a cross-sectional analytical study, using dispensing records of diazepam, clonazepam, and nitrazepam from public pharmacies in a Brazilian municipality between 2018 and 2022. Metrics for benzodiazepine consumption were DDD (Defined Daily Dose) and DDD/1000PD (per 1000 population per day). Long-term/prolonged benzodiazepine use was defined as consuming at least 90 DDD and at least 2 dispensations per year. To ascertain associations between long-term use and predictor variables, a multivariate logistic regression model was utilized.FindingsA total of 40402 participants were included, with an average age of 55 years (SD = 0.30), 38.5% were older aged. Diazepam and nitrazepam exceeded the daily dose recommended. There was a reduction in diazepam consumption during the study period, as calculated by DDD/1.000PD, while the consumption of other benzodiazepines remained stable. However, a significant increase in diazepam consumption is noted when considering the last decade. Prolonged use was observed in 29.1% of participants, with a significant prevalence among the older people (34.8% of them were long-term users) and advancing age was identified as a risk factor for long-term use. Higher PDDs were also associated with long-term use and aging. Participants who used different benzodiazepines during the period had a higher risk of prolonged use.ConclusionsThese results provide insights into the prevalence of problematic utilization of benzodiazepines in primary health care. Authorities and health care providers must take steps to encourage gradual cessation of prolonged benzodiazepine prescriptions and the embrace of suitable strategies for addressing anxiety and insomnia within primary health care settings.

BACKGROUND & OBJECTIVES:Different algorithms have been developed to standardize the causality assessment of adverse drug reactions (ADR). Although most share common characteristics, the results of the causality assessment are variable depending on the algorithm used. Therefore, using 10 different algorithms, the study aimed to compare inter-rater and multi-rater agreement for ADR causality assessment and identify the most consistent to hospitals. METHODS:Using ten causality algorithms, four judges independently assessed the first 44 cases of ADRs reported during the first year of implementation of a risk management service in a medium complexity hospital in the state of Sao Paulo (Brazil). Owing to variations in the terminology used for causality, the equivalent imputation terms were grouped into four categories: definite, probable, possible and unlikely. Inter-rater and multi-rater agreement analysis was performed by calculating the Cohen´s and Light´s kappa coefficients, respectively. RESULTS:None of the algorithms showed 100% reproducibility in the causal imputation. Fair inter-rater and multi-rater agreement was found. Emanuele (1984) and WHO-UMC (2010) algorithms showed a fair rate of agreement between the judges (k = 0.36). INTERPRETATION & CONCLUSIONS:Although the ADR causality assessment algorithms were poorly reproducible, our data suggest that WHO-UMC algorithm is the most consistent for imputation in hospitals, since it allows evaluating the quality of the report. However, to improve the ability of assessing the causality using algorithms, it is necessary to include criteria for the evaluation of drug-related problems, which may be related to confounding variables that underestimate the causal association.

Background: Benzodiazepines are frequently prescribed to treat anxiety and insomnia, but long-term use has been associated with the development of dependence, tolerance, and cognitive decline, especially among older adults. This study aimed to investigate the pattern of consumption and factors associated with inappropriate prescribing of benzodiazepines in primary health care. Methods: This is a cross-sectional analytical study, using dispensing records of diazepam, clonazepam, and nitrazepam from public pharmacies in a Brazilian municipality between 2018 and 2022. Metrics for benzodiazepine consumption were DDD (Defined Daily Dose) and DDD/1000PD (per 1000 population per day). Long-term/prolonged benzodiazepine use was defined as consuming at least 90 DDD and at least 2 dispensations per year. To ascertain associations between long-term use and predictor variables, a multivariate logistic regression model was utilized. Findings: A total of 40402 participants were included, with an average age of 55 years (SD = 0.30), 38.5% were older aged. Diazepam and nitrazepam exceeded the daily dose recommended. There was a reduction in diazepam consumption during the study period, as calculated by DDD/1.000PD, while the consumption of other benzodiazepines remained stable. However, a significant increase in diazepam consumption is noted when considering the last decade. Prolonged use was observed in 29.1% of participants, with a significant prevalence among the older people (34.8% of them were long-term users) and advancing age was identified as a risk factor for long-term use. Higher PDDs were also associated with long-term use and aging. Participants who used different benzodiazepines during the period had a higher risk of prolonged use. Conclusions: These results provide insights into the prevalence of problematic utilization of benzodiazepines in primary health care. Authorities and health care providers must take steps to encourage gradual cessation of prolonged benzodiazepine prescriptions and the embrace of suitable strategies for addressing anxiety and insomnia within primary health care settings. [ABSTRACT FROM AUTHOR]