Background/Objectives: Benzodiazepines (BZDs) are used routinely in cases requiring sedation for anxiety, insomnia, and procedures that require pain management, and daily use of these agents may extend over several months; therefore, monitoring patients is essential to reduce the risk of developing dependence. However,
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Background/Objectives: Benzodiazepines (BZDs) are used routinely in cases requiring sedation for anxiety, insomnia, and procedures that require pain management, and daily use of these agents may extend over several months; therefore, monitoring patients is essential to reduce the risk of developing dependence. However, the high patient volume in pain and palliative-care settings often limits physicians’ ability to both conduct consultations and perform comprehensive evaluations. In this context, the pharmacist plays a key role in supporting patient care by contributing professional activities that enhance patient well-being, such as conducting systematic reviews of electronic medical records. This pharmacist-led EMR assessment enables the identification of benzodiazepine dependence patterns and supports a more robust epidemiological evaluation within the institution. Methods: A descriptive observational study (January 2022–May 2025) using electronic medical records and prescription data was conducted. Consecutive adults with an active BZD prescription and a documented BDEPQ-MX (Benzodiazepine Dependence Questionnaire, Mexican version) were included. Outcomes were BDEPQ-MX categories (No dependence; Pleasurable effects; Perceived need; Dependence) and a binary endpoint was stablished as “any dependence” (either scored in Perceived need or Dependence category) vs. No dependence (either scored as No dependence or Pleasurable effects categories). Group comparisons used χ
2, Student’s t, and one-way ANOVA. A logistic regression modeled any dependence; a general linear model (GLM) examined the BDEPQ-MX total score. Results: Of 181 complete cases, BDEPQ-MX categories were No dependence 33.2% (60/181), Pleasurable effects 7.2% (13/181), Perceived need 17.1% (31/181), and Dependence 42.5% (77/181); hence, 59.7% met “any dependence.” Women comprised 67.4% overall. Compared with No dependence, the any-dependence group had higher comorbidity (83.3% vs. 65.8%,
p = 0.006) and markedly greater duration of BZD use (months) (22.6 ± 11.5 vs. 5.9 ± 4.9,
p < 0.001), with no difference in daily dose (
p = 0.6). Benzodiazepine medications shifted toward alprazolam in dependence (38.9% vs. 20.5%,
p = 0.009) and away from clonazepam (43.5% vs. 58.9%,
p = 0.042). In the adjusted model, the male sex was associated with lower odds of any dependence (aOR 0.29, 95% CI 0.11–0.76;
p = 0.013), while the duration of BZD use (per month) increased the odds (aOR 1.32, 1.20–1.45;
p < 0.001). In the GLM, the duration showed the largest effect on BDEPQ-MX total (F = 203.26;
p < 0.001; partial η
2 = 0.545). Conclusions: In this outpatient pain and palliative-care population, benzodiazepine-related dependence phenomena were common: 59.7% of patients met the criteria for dependence based on the pharmacist-led EMR review. The involvement of the pharmacist was essential, as this systematic evaluation would have been difficult to perform within routine medical consultations. The pharmacist’s contribution enabled a detailed epidemiological characterization, revealing that the exposure duration—more than daily dose—was the principal, modifiable correlate of dependence, and that alprazolam was disproportionately represented in the higher-dependence categories. These findings underscore the value of pharmacist-supported surveillance to identify and measure BZD dependance.
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