Psychology

Trajectories Associated With the Use and Deprescription of Benzodiazepines and Z-Drugs in a Network of Geriatric Outpatient Clinics.

do Carmo Júnior NM, do Nascimento MMG, de Loyola Filho AI, Azevedo DC, Valle EA, Reis EA. Published July 1, 2026 CC-BY

Purpose To determine the trajectories of benzodiazepine (BZD) and Z-drug use among older adults (n = 3590) followed in a network of geriatric outpatient clinics in Brazil. Methods This longitudinal study evaluated BZD and Z-drug use over a 24-month follow-up period. The proportion of use at baseline and at the end of the study period was compared using the McNemar test. Two trajectories were considered: started using and stopped using. Comparisons between trajectories and independent variables were performed using Pearson's chi-square test. Variables with p  Results A small but significant reduction in overall BZD or Z-drug use was observed (17.4% to 16.0%; p = 0.007), with a marked decrease in isolated Z-drug use (6.1% to 4.0%; p  Conclusions Clinical vulnerability and psychiatric conditions were associated with BZD or Z-drug use and initiation, while pharmacist consultations were associated with both initiation and discontinuation trajectories.

Introduction

Benzodiazepines (BZD) and Z‐drugs are potentially inappropriate medications (PIM) for older adults, associated with an increased risk of cognitive impairment, falls, and fractures [1,2,3,4]. Pharmacokinetic and pharmacodynamic changes associated with aging increase the half‐life and effects of these drugs, raising the risk of harm [5].

However, BZD are among the most commonly used PIM by older adults in outpatient clinics worldwide [6], with a prevalence in Brazil of 4%–10% [2,7,8]. Prolonged use of these drugs can lead to abuse, dependence, tolerance, reduced effectiveness, immune dysregulation, and changes in the hypothalamic–pituitary–adrenal axis [9,10,11,12,13,14].

In this sense, the deprescription of BZD and Z‐drugs is an important strategy in geriatrics to reduce adverse events, consisting of discontinuing or reducing medications that have no therapeutic benefit or cause harm [15,16,17,18,19,20,21]. However, it faces barriers among patients, family members, and professionals, making the process complex [22,23,24].

Systematic reviews with meta‐analyses indicate that deprescription of BZD and Z‐drugs in older adults is feasible, especially with non‐pharmacological support, with rates ranging from 12.3% to 43.2% in hospitals, community, long‐term care, and primary care settings [25,26].

To the authors' knowledge, no studies have examined trajectories of BZD and Z‐drug use or related deprescription factors associated with deprescription processes or maintenance of prolonged use of these medications in older adults, particularly in geriatric outpatient clinics. In this sense, the objective of this study was to determine the trajectories of use of BZD and Z‐drugs among older adults followed in a network of geriatric outpatient clinics and the associated factors.

Methods

This longitudinal study is part of the project “Profile of medication use and deprescription in a geriatric outpatient clinic”, approved by the Research Ethics Committee of the Federal University of Minas Gerais (CAAE 52595821.1.0000.5149).

The study was conducted in a network of private geriatric clinics in Belo Horizonte, serving older adults (≥ 60 years, according to Brazilian legislation) who pay for the services or have health insurance. Patients are usually referred to by health professionals or health insurance providers when they are frail or advanced age. The clinics offer multidisciplinary care through in‐person consultations, teleconsultations, multidisciplinary meetings, and health promotion groups.

The study population consisted of all older adults admitted to the network between June 2020 and November 2024, who: (i) completed at least 24 months of follow‐up; and (ii) presented data for all variables evaluated in this study. There was only one data collection in December 2024, conducted through the generation of reports from the database of the geriatric clinic's system.

The data used in this study are secondary, coming from the outpatient clinic's health management software, called “LifeCode ‐ Inteligência & Saúde”. Data collection was blinded, through the generation of customized reports in spreadsheet file format, which were transferred to R software, version 4.3.0, where all analyses were performed.

The Anatomical Therapeutic Chemical Index (ATC Index), developed by the World Health Organization Collaboration Center for Drugs Statistic Methodology, was used to identify the drugs investigated [27]. “Benzodiazepines” refers to drugs classified under codes N05BA (e.g.,: alprazolam, bromazepam, lorazepam, diazepam) and N05CD (e.g.,: flunitrazepam, flurazepam, midazolam), in addition to clonazepam, classified as an anticonvulsant under code N03AE01, but frequently used as a sedative in Brazil. “Z‐drugs” refers to those identified with code N05CF (e.g.,: zolpidem, zopiclone and eszopiclone).

Participants were classified in relation to the investigated event into three categories: (1) isolated use of BZD, (2) isolated use of Z‐drug, and (3) use of either BZD or Z‐drug. To investigate the factors associated with the use of BZD/Z‐drug at baseline, the following variables were used: sex; age; polypharmacy (use of five or more medications) [28]; diagnosis of dementia, depression, insomnia, anxiety, or panic syndrome; number of health conditions related to falls [29,30,31]; number of pharmacists consultations; clinical‐functional vulnerability index (IVCF‐20) [32]; cognitive dysfunction; and change in the performance of basic activities of daily living (BADL). These last two independent variables were identified using a component of the IVCF‐20 itself.

To characterize the population at baseline, a descriptive analysis was conducted using frequencies for qualitative variables and mean, standard deviation (SD), and range for quantitative ones. The use of BZDs/Z‐drugs was analyzed from two perspectives: profile (active ingredient frequency) and prevalence of use (users vs. total participants).

The investigation of the association between the defined events (isolated use of BZD; isolated use of Z‐drug; and use of either BZD or Z‐drug) and independent variables was based on Pearson's chi‐square test (univariate analysis). Variables withp< 0.20 in the univariate analysis were included in multivariate logistic regression models. Associations were estimated using odds ratios (OR) and corresponding 95% confidence intervals (95% CI).

The McNemar test was performed to assess changes in the proportions of the events defined above between the beginning of the study period (6 months after admission to the network) and the end (after 24 months of connection with the network). Six months was adopted as the baseline because it is a usual period in which the patient is connected to the outpatient clinic, allowing for regular monitoring and confirmation of information regarding their health history. The Kappa coefficient was used to measure the degree of agreement between the proportions of use at the two moments (variation between 0.6 and 0.8).

Two trajectories of use of either BZD or Z‐drug were considered from the baseline to the end of the follow‐up: (1)started using; and (2)stopped using. All pharmacist consultations were conducted by telephone. Deprescribing was defined as the removal of the medication from the outpatient prescription system by either the physician or the clinical pharmacist. Similarly, medication initiation was defined as the inclusion of the medication in the prescription system. The trajectories were compared according to the independent variables using Pearson's chi‐square test (univariate analysis). Variables withp< 0.20 in the univariate analysis were included in multivariate logistic regression models. The stepwise automatic selection method withp< 0.05 was used to define the variables in the final model. Associations were estimated using odds ratios (OR) and corresponding 95% confidence intervals (95% CI).

Results

The study included 3590 older adults, the majority of whom were female (n= 2624; 73.1%), with a mean age of 77 years (SD = 9) (minimum = 60; maximum = 103), and a mean IVCF‐20 of 15.8 (SD = 6.9). In addition, most of the older adults had no diagnosis of dementia (90.2%), depression (73.4%), anxiety (79.9%), insomnia (87.9%), or panic disorder (98.7%) (Table1).

Table: Baseline characteristics of older adults treated in a private geriatric outpatient clinic network (n= 3590).

In contrast, 85.3% of the older adults had cognitive dysfunction and 77.1% had a diagnosis of two or more health conditions related to falls, although the majority (91.3%) did not demonstrate impairment in BADL. A little over half (50.9%) were using polypharmacy (Table1).

A total of 623 older adults (17.4%) were using at least one BZD or Z‐drug. Among the 1688 BZD or Z‐drugs used by the older adults at baseline, the most frequent was clonazepam (n= 506; 30.0%), followed by zolpidem (n= 463; 27.4%). The other medications had frequencies of use below 10% (Table2).

Table: Frequency of use of benzodiazepines (BZD) or Z‐drugs at baseline among older adults treated at a private geriatric outpatient clinic network (n= 1688).

The multivariate analysis showed that, at baseline, all investigated outcomes (isolated use of BZDs, isolated use of Z‐drugs, and use of either BZDs or Z‐drugs) were significantly associated with age (younger older adults used them more frequently) and with the number of fall‐related conditions. The outcomes “isolated use of BZDs” and “use of either BZDs or Z‐drugs” were also positively associated with female sex (p< 0.05), the presence of cognitive dysfunction, and the IVCF‐20 score (in all cases,p< 0.05) (Table3).

Table: Univariate and multivariate analysis of factors associated with the use of benzodiazepines (BZD) or Z‐drugs at baseline among older individuals treated at a private geriatric outpatient clinic network (n= 3590).

There was an increase in the frequency of isolated use of BZD from baseline (11.9%) to the end of the follow‐up period (12.4%), but without a statistically significant difference (p= 0.321; Kappa = 0.7). In contrast, there was a significant reduction in the isolated use of Z‐drugs (from 6.1% to 4.0%;p< 0.001; Kappa = 0.63) and use of either BZD or Z‐drug (from 17.4% to 16.0%;p= 0.007; Kappa = 0.68) (Table4).

Table: Frequency of use of benzodiazepine (BZD) or Z‐drugs among older adults treated at a private geriatric outpatient clinic network at baseline (6 months after admission) and at the end of the follow‐up period (24 months) (n= 3590).

In Table5, comparisons of the trajectories of either BZD or Z‐drug use are presented. The multivariate analysis showed that regarding thestarted usingtrajectory, having a pharmacist consultation within 24 months (OR = 5.01 [2.88–8.71];p< 0.001), depression (OR = 2.59 [1.80–3.73];p< 0.001), insomnia (OR = 1.97 [1.19–3.25];p= 0.013), and panic disorder (OR = 1.97 [1.19–3.25];p= 0.013) were positively associated with the initiation of these medications.

Table: Multivariate analyses with comparisons between trajectories of benzodiazepine and/or Z‐drug use among older individuals treated in a private geriatric outpatient clinic network according to independent variables (n= 3590).

The only variable that showed a statistically significant association with theStopped usingtrajectory in the adjusted model was having a pharmacist consultation within 24 months (OR = 0.34 [0.15–0.76],p= 0.013).

Discussion

This is the first study to analyze trajectories in the use of BZD and/or Z‐drugs in a network of specialized outpatient clinics for older persons, assessing initiation or discontinuation of use over time. The results show high vulnerability among the older adults, including high mean IVCF‐20 scores, cognitive dysfunction, and conditions related to falls. There was a reduction in the use of BZD/Z‐drugs over 2 years.

The prevalence of BZD/Z‐drug use at baseline in the present study (17.4%) was higher than that identified in two other geriatric outpatient clinics (6% and 10%) [7,33], and in a psychogeriatric outpatient clinic (13.3%) in the state of Rio Grande do Sul, Brazil [34]. But lower than the 41% observed in an outpatient clinic in the Netherlands [35]. A systematic review found that BZD and Z‐drugs are widely used by older adults in outpatient care (8.8%–82.8%) [6]. The prevalence in the present study was lower than in most studies in the review, although none of them were conducted in geriatric outpatient clinics.

The BZDs or Z‐drugs most commonly used by older adults in the study were clonazepam, zolpidem, and alprazolam. Only Cuentro et al. [8] and Carmo‐Junior et al. [2] investigated the use of these drugs in geriatric outpatient clinics in Brazil, with results similar to those of the present study, reflecting the main BZDs and Z‐drugs used in the country [36,37]. Globally, there is a variation in the types of these medications used in outpatient clinics, with alprazolam, estazolam, clonazepam, and zolpidem being the most prevalent [38,39,40,41,42].

Compared to other BZDs, clonazepam is inexpensive, and it is relatively easy to obtain and use in Brazil, since it is available in the form of drops or tablets and is widely found in public and private pharmacies in Brazil. This could explain its prominence as the most used BZD in this study [43].

Zolpidem was one of the most widely marketed psychotropic drugs, with global production rising from 38.2 tons in 2021 to 39.1 tons in 2022, with Brazil manufacturing 4.2 tons [44,45]. In 2024, Brazilian legislation intensified control over Z‐drugs, with the aim of systematically monitoring consumption [46]. It should be noted that extensive literature currently demonstrates that the risks to which older adults are subjected when using BZDs/Z‐drugs are equivalent, justifying the need to implement deprescription strategies for both groups of drugs [47,48,49].

A lower proportion of the three events was observed with increasing age, and this difference was statistically significant in the multivariate analysis. This association may reflect closer monitoring of older adults by specialized services, which favors BZD and Z‐drug deprescription [50,51,52]. In addition, older persons have often experienced adverse events related to BZD/Z‐drugs, which may favor the acceptance of their discontinuation [53,54]. Our findings differ from a retrospective longitudinal study in Germany on prolonged use of benzodiazepines in the older adults, which showed an increase in therapy for more than 6 months with age (65–70 years: 12.3%; 71–80: 15.5%; 81–90: 23.7%; > 90: 31.6%), possibly due to the clinical profile and setting [55]. Differences also arise in a longitudinal study in Hong Kong, where the incidence of BZD and Z‐drug prescriptions to older persons (≥ 65 years) was the highest among all age groups [56].

Having two or more fall‐related morbidities was strongly associated with increased isolated use of BZD, isolated use of Z‐drug, or use of either BZD or Z‐drug. In other words, even considering the risks associated with falls inherent to their clinical diagnoses, older adults were using medications that can increase the occurrence of falls [57,58,59]. This highlights the need to raise awareness to both medication risks and harmful cofactors [2,4,13,36,49,57,60].

In the present study, the frequency of isolated use of BZD among older women was higher than that among older men (13.2% vs. 8.5%), a finding similar to that identified in a geriatric outpatient clinic in the state of Rio Grande do Sul (14.2% vs. 5.4%) [33]. The multivariate analysis demonstrated that female sex was associated with a 47% higher likelihood of BZD use and a 48% higher likelihood of the use of either BZDs or Z‐drugs. Additionally, the frequency of general use of the drugs quantified in the present study was also higher among older women (19.1% vs. 12.5%); this result being a differential in relation to the study cited. Women's higher anxiety prevalence stems from social and work burdens, increasing lifelong vulnerability and requiring tailored strategies [60].

The use of either BZD or Z‐drugs was independently associated with female sex, younger‐old age, fall‐related conditions, and higher frailty scores. Notably, individuals with markers of vulnerability (such as multiple fall‐related conditions and cognitive dysfunction) were more likely to use these medications, highlighting a clinically relevant paradox given their known risk profile in older adults.

Lee et al. identified that 28.1% of the elderly had psychiatric disorders, especially dementia (10.9%) and depression (9.9%), prevalences different from those observed in the present study (9.8% and 27%). In addition, they demonstrated an increase in the prescription of these drugs throughout the study period (3.44;p< 0.0001). The analysis revealed a decline in the use of BZD or Z‐drugs among individuals aged 65 years or older from 2021 to 2023 (−2.24;p= 0.0004) [56].

The slight increase in the isolated use of BZD (from 11.9% to 12.4%) observed during the period of the present study was not statistically significant. On the other hand, the small reduction in the prevalence of isolated use of Z‐drugs (from 6.1% to 4.0%;p< 0.001) and of use of either BZD or Z‐drugs (from 17.4% to 16.0%;p= 0.007) was statistically significant, drawing differences with in relation to the study by Lee et al. [56].

The geriatric outpatient clinic network in study has a systematic process for assessing patients using BZDs or Z‐drugs by a multidisciplinary health team, with aims of reducing the usage of these drugs. The results indicate that, even with specialized staff and educational initiatives, barriers to the deprescribing of BZDs and Z‐drugs persist. Literature points to factors such as dependence, patient beliefs, fragmentation of care, and the actions of other specialists [24,61]. Future studies should explore these issues in greater depth in the context of a geriatric outpatient clinic with its peculiarities and challenges involved in dealing with a more frail and aging population.

The Clinic stands out nationally for its specialized work in providing comprehensive and interdisciplinary care to older adults, in alignment with the Brazilian epidemiological profile characterized by an aging population, multimorbidity, and polypharmacy. Nevertheless, we emphasize that the results are limited to this setting and can not be extrapolated to other contexts.

This study used trajectory modeling to understand the factors that influence the use of BZD/Z‐drugs among older adults followed in a network of geriatric outpatient clinics. No studies with a similar analysis methodology were identified that evaluated the use of BZDs or Z‐drugs in this specific setting. This highlights the novelty of the approach, especially considering the long longitudinal period adopted (24 months) and the monitoring context (network of geriatric outpatient clinics).

For the BZD/Z‐drugstarted usingtrajectory, the diagnoses of anxiety, depression, insomnia, and panic disorder were positively associated factors (p< 0.005). BZD/Z‐drug use was linked to depression in Brazilian and European older adults, often misused for insomnia or anxiety despite lacking evidence for long‐term benefit, except in panic syndrome [1,33,62,63,64].

In multivariate analyses, at least one consultation with a pharmacist in 24 months was positively associated with the trajectorystarted using. This association may reflect a broader pattern described in the literature, in which increased contact with healthcare services is linked to benzodiazepines prescribing [37]. Our results may indicate that engagement with pharmaceutical care may be demanded as a part of a healthcare trajectory that increases exposure to these medications. This relationship likely does not represent a direct causal effect of pharmacist consultations, but rather a marker of greater clinical complexity, symptom burden, or healthcare utilization.

Previous studies have shown that greater clinical complexity may hinder deprescribing efforts, as it is frequently associated with increased demand for healthcare professional involvement, patient‐level factors such as fear of symptom recurrence, including concerns about not being able to sleep, as well as resistance from patients and their families, which may further necessitate repeated consultations and ongoing professional support [64,65,66].

After 2 years of follow‐up, the only variable negatively associated with thestopped usingtrajectory was having consultations with pharmacists, indicating the demand for longitudinal monitoring among patients that are persistently using BZD or Z‐drugs.

These associations highlight the local demand for pharmaceutical work on safe medication use in geriatrics. In this scenario, the pharmacist reviews pharmacotherapy, identifies PIM, and provides guidance on deprescribing BZD/Z‐drugs. However, being limited to one pharmacist and the support of a pharmacy student may have reduced its impact given patient complexity.

Pharmacist consultations were associated with bothstarted usingandstopped usingtrajectories. This finding should be interpreted in light of the organization of pharmaceutical care in the outpatient clinics studied. In the studied scenario, if an older adultstartedusing benzodiazepines or Z‐drugs, they may have been referred for pharmacist consultations, which may partly explain the association with thestarted usingtrajectory. At the same time, these consultations may act as a marker of the service's recognition of the importance of deprescribing and of the growing understanding among healthcare professionals about the risks of these medications in older adults.

In this context, pharmacist consultations may reflect greater healthcare utilization among patients with more complex clinical conditions. In this geriatric outpatient setting, patients with higher clinical complexity and difficulties in pharmacotherapy management, regardless of benzodiazepine or Z‐drug use, are referred to the clinical pharmacist. These referrals create opportunities for comprehensive medication review and for the reduction of potentially inappropriate medications in older adults.

The multidisciplinary care setting of the outpatient clinics may have facilitated the deprescribing process. Collaboration among physicians, pharmacists, and other healthcare professionals can enhance discussions about medication safety in older adults and support the identification and withdrawal of potentially inappropriate medications, such as benzodiazepines and Z‐drugs. A systematic review reinforces that the lack of interprofessional collaboration may be a barrier to the deprescribing process [67].

Given the originality of the present results, direct comparability with those of other studies is impossible, but a systematic review with meta‐analysis on the contribution of pharmacists to BZD deprescription among older adults in different outpatient settings demonstrated a positive impact. The review observed a tendency to interrupt or reduce the dose, especially with educational strategies and review of pharmacotherapy—findings in line with the present research [68].

Isomura et al. identified four trajectories of benzodiazepine and Z‐drug use in the Swedish population: “discontinued,” “reduction,” “slow reduction,” and “maintained” [69]. Among older adults (≥ 65 years), the “maintained” trajectory was most prevalent (36.7%). Factors associated with the reduction, slow reduction, and maintenance trajectories included initiation of treatment in primary care, initial use of hypnotics/sedatives, Z‐drugs, or multiple BZDs, and dispensing of other medications. Somatic multimorbidity increased the chance of “reduction” but reduced that of “slow reduction” and “maintenance” [69].

Although the study by Isomura et al. addresses trajectories of BZD and Z‐drug use [69], there are important differences with the present study, such as the setting in which the study was conducted and the variables associated with the trajectories, notably pharmacists' consultations, which were only addressed in the present study.

This study has limitations related to the use of secondary data, its focus on a private healthcare setting, and the lack of analysis of factors hindering medication withdrawal. The system did not capture partial dose reductions or structured information on prescribing indications, nor did it allow for the assessment of safety outcomes or withdrawal‐related adverse events. Pharmacist consultations lacked standardized documentation of their qualitative content. Additionally, the study did not evaluate pharmacist‐led interventions, nor the average dose or duration of benzodiazepine use due to system limitations that do not record these data.

Despite its limitations, the study showed that pharmacist consultation is associated with the trajectories of BZD or Z‐drug use, highlighting the local recognition of the relevance of clinical pharmacy in geriatrics. However, the findings reinforce the need to intensify deprescribing, especially in older adults with comorbidities linked to falls.

Conclusion

The present study identified clinical and care‐related factors associated with the use and trajectories of benzodiazepines and Z‐drugs among older adults followed in a network of geriatric outpatient clinics. At baseline, use was associated with female sex, younger age among older adults, greater clinical vulnerability, and the presence of fall‐related conditions and cognitive dysfunction. There was a slight reduction in the use of Z‐drugs only and in the use or either BZD or Z‐drugs.

During follow‐up, the trajectorystarted usingthese medications was associated with depression, insomnia, and panic syndrome, highlighting the influence of mental health conditions on prescribing patterns in geriatric care. Pharmacist consultations were associated with bothstarted usingandstopped usingtrajectories, suggesting the local demand for pharmaceutical care in these particular cases. This is one of the first studies in Brazil to apply trajectory analysis to investigate the longitudinal use of BZD and Z‐drugs in older adults in the context of geriatric outpatient clinics, reinforcing the need to intensify strategies for deprescribing or protecting the use of these medications.

Funding

The authors have nothing to report.

Disclosure

Preliminary results from this research will be presented at the ISPE LATAM Congress in Sorocaba, Brazil, in 2024.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. D. Riemann, C. A. Espie, E. Altena, et al. , “The European Insomnia Guideline: An Update on the Diagnosis and Treatment of Insomnia, ”Journal of Sleep Research32, no. 6(2023): e14035, . doi.org/10.1111/jsr.14035
  2. N. M. Carmo Júnior, E. A. Reis, A. I. Loyola Filho, et al. , “Sedative Use and Incidence of Falls and Hip Fractures Among Older Adults in an Outpatient Geriatric Clinic, ”Geriatrics, Gerontology, and Aging17(2023): e0230012, . doi.org/10.53886/gga.e0230012
  3. American Geriatrics Society Beers Criteria Update Expert Panel, “American Geriatrics Society 2023 Updated AGS Beers Criteria for Potentially Inappropriate Medication Use in Older Adults, ”Journal of the American Geriatrics Society71, no. 7(2023): 2052–2081, . doi.org/10.1111/jgs.18372
  4. T. N. Poly, M. M. Islam, H. C. Yang, andY. C. ( J. )Li, “Association Between Benzodiazepines Use and Risk of Hip Fracture in the Elderly People: A Meta‐Analysis of Observational Studies, ”Joint, Bone, Spine87, no. 3(2020): 241–249, . doi.org/10.1016/j.jbspin.2019.11.003
  5. A. K. Kozole Smid, A. Mlakar, andV. Štukovnik, “Toxicity of Benzodiazepines in the Treatment of Insomnia Disorders in Older Adults: A Systematic Literature Review, ”Croatian Medical Journal65, no. 2(2024): 146–155, . doi.org/10.3325/cmj.2024.65.146
  6. F. Tian, Z. Chen, Y. Zeng, Q. Feng, andX. Chen, “Prevalence of Use of Potentially Inappropriate Medications Among Older Adults Worldwide: A Systematic Review and Meta‐Analysis, ”JAMA Network Open6, no. 8(2023): e2326910, . doi.org/10.1001/jamanetworkopen.2023.26910
  7. R. ASK, B. P. Costa, C. P. Kapper, et al. , “Identificação de prescrição inapropriada em ambulatório de Geriatria utilizando os Critérios Stopp e Start, ”Revista Brasileira de Geriatria e Gerontologia19, no. 5(2016): 871–878, . doi.org/10.1590/1809-98232016019.150220
  8. V. S. Cuentro, M. A. Andrade, L. F. Gerlack, et al. , “Prescrições medicamentosas de pacientes atendidos no ambulatório de geriatria de um hospital universitário: estudo transversal descritivo, ”Ciência & Saúde Coletiva19, no. 8(2014): 3355–3364, . doi.org/10.1590/1413-81232014198.09962013
  9. M. O. Barboza Zanetti, I. dos Santos, J. C. Durante, F. R. Varallo, L. R. L. Pereira, andA. I. Miasso, “Consumption Patterns and Factors Associated With Inappropriate Prescribing of Benzodiazepines in Primary Health Care Settings, ”PLoS One19, no. 9(2024): e0309984, . doi.org/10.1371/journal.pone.0309984
  10. S. Sakshaug, M. Handal, V. Hjellvik, et al. , “Long‐Term Use of Z‐Hypnotics and co‐Medication With Benzodiazepines and Opioids, ”Basic & Clinical Pharmacology & Toxicology120, no. 3(2017): 292–298, . doi.org/10.1111/bcpt.12684
  11. J. M. Téllez‐Lapeira, H. J. López‐Torres, L. Gálvez‐Alcaraz, et al. , “Consumo de ansiolíticos e hipnóticos y factores asociados en las personas mayores, ”Revista Española de Geriatría y Gerontología52, no. 1(2017): 31–34, . doi.org/10.1016/j.regg.2016.01.007
  12. P. V. Nguyen, T. T. Dang‐Vu, P. Leduc, et al. , “Effect of Age on Hypnotics' Efficacy and Safety in Insomnia: A Systematic Review and Meta‐Analysis, ”Sleep Medicine125(2025): 120–127, . doi.org/10.1016/j.sleep.2024.11.023
  13. P. Martinot, B. Landré, M. Zins, M. Goldberg, J. Ankri, andM. Herr, “Association Between Potentially Inappropriate Medications and Frailty in the Early Old Age: A Longitudinal Study in the GAZEL Cohort, ”Journal of the American Medical Directors Association19, no. 11(2018): 967–973000, . doi.org/10.1016/j.jamda.2018.07.008
  14. C. F. Yen, C. H. Ko, Y. P. Chang, et al. , “Dependence, Misuse, and Beliefs Regarding Use of Hypnotics by Elderly Psychiatric Patients Taking Zolpidem, Estazolam, or Flunitrazepam, ”Asia‐Pacific Psychiatry7, no. 3(2015): 298–305, . doi.org/10.1111/appy.12147
  15. L. J. Seppala, N. Kamkar, E. P. Van Poelgeest, et al. , “Medication Reviews and Deprescribing as a Single Intervention in Falls Prevention: A Systematic Review and Meta‐Analysis, ”Age and Ageing51, no. 9(2022): afac191, . doi.org/10.1093/ageing/afac191
  16. N. Masnoon, S. Lo, andS. Hilmer, “A Stewardship Program to Facilitate Anticholinergic and Sedative Medication Deprescribing Using the Drug Burden Index in Electronic Medical Records, ”British Journal of Clinical Pharmacology89, no. 2(2023): 687–698, . doi.org/10.1111/bcp.15517
  17. V. Le, N. Patel, Q. Nguyen, et al. , “Retrospective Analysis of a Pilot Pharmacist‐Led Hospice Deprescribing Program Initiative, ”Journal of the American Geriatrics Society69(2021): 1370–1376, . doi.org/10.1111/jgs.17122
  18. J. A. Pruskowski, S. Springer, C. T. Thorpe, M. Klein‐Fedyshin, andS. M. Handler, “Does Deprescribing Improve Quality of Life? A Systematic Review of the Literature, ”Drugs & Aging36, no. 12(2019): 1097–1110, . doi.org/10.1007/s40266-019-00717-1
  19. W. ThompsonandB. Farrell, “Deprescribing: What Is It and What Does the Evidence Tell Us?, ”Canadian Journal of Hospital Pharmacy66, no. 3(2013): 201–202, . doi.org/10.4212/cjhp.v66i3.1261
  20. K. Pottie, W. Thompson, S. Davies, et al. , “Deprescribing Benzodiazepine Receptor Agonists: Evidence‐Based Clinical Practice Guideline, ”Canadian Family Physician64, no. 5(2018): 339–351.
  21. I. A. Scott, S. N. Hilmer, E. Reeve, et al. , “Reducing Inappropriate Polypharmacy: The Process of Deprescribing, ”JAMA Internal Medicine175, no. 5(2015): 827–834, . doi.org/10.1001/jamainternmed.2015.0324
  22. T. Lynch, C. Ryan, J. Presseau, et al. , “Development and Validation of a Theory‐Based Questionnaire Examining Barriers and Facilitators to Discontinuing Long‐Term Benzodiazepine Receptor Agonist Use, ”Research in Social & Administrative Pharmacy20, no. 2(2024): 163–171, . doi.org/10.1016/j.sapharm.2023.10.015
  23. J. J. M. Teixeira, M. P. Provin, M. P. D. Freitas, F. R. Santana, M. T. A. Pedatella, andL. E. A. Rocha, “Os condicionantes à desprescrição no Brasil: o panorama de um painel de especialistas em geriatria, ”Geriatrics Gerontology and Aging16(2022): e0220002, . doi.org/10.53886/gga.e0220002
  24. L. S. Rodrigues, M. S. Tinoco, L. G. R. Silva, et al. , “Facilitadores e dificultadores do processo de desprescrição de benzodiazepínicos em idosos: elaboração de um instrumento e validação de seu conteúdo, ”Geriatrics Gerontology and Aging15(2021): e0210059, . doi.org/10.53886/gga.e0210059
  25. A. Soni, A. Thiyagarajan, andJ. Reeve, “Feasibility and Effectiveness of Deprescribing Benzodiazepines and Z‐Drugs: Systematic Review and Meta‐Analysis, ”Addiction118, no. 1(2023): 7–16, . doi.org/10.1111/add.15997
  26. P. R. S. RibeiroandA. D. Schlindwein, “Benzodiazepine Deprescription Strategies in Chronic Users: A Systematic Review, ”Family Practice38, no. 5(2021): 684–693, . doi.org/10.1093/fampra/cmab017
  27. WHO Collaborating Centre for Drug Statistics Methodology, “Guidelines for ATC Classification and DDD Assignment, ”2025, Oslo, .
  28. N. Masnoon, S. Shakib, L. Kalisch‐Ellett, et al. , “What Is Polypharmacy? A Systematic Review of Definitions, ”BMC Geriatrics17, no. 1(2017): 230, . doi.org/10.1186/s12877-017-0621-2
  29. Y. Li, L. Hou, H. Zhao, R. Xie, Y. Yi, andX. Ding, “Risk Factors for Falls Among Community‐Dwelling Older Adults: A Systematic Review and Meta‐Analysis, ”Frontiers in Medicine9(2023): 1019094, . doi.org/10.3389/fmed.2022.1019094
  30. S. Luebbert, W. Christensen, C. Finkel, andG. Worsowicz, “Falls in Senior Adults: Demographics, Cost, Risk Stratification, and Evaluation, ”Missouri Medicine119, no. 2(2022): 158–163.
  31. D. Hacıdursunoğlu Erbaş, F. Çınar, andF. Eti Aslan, “Elderly Patients and Falls: A Systematic Review and Meta‐Analysis, ”Aging Clinical and Experimental Research33, no. 11(2021): 2953–2966, . doi.org/10.1007/s40520-021-01843-w
  32. E. N. Moraes, J. A. Carmo, F. M. Lanna, et al. , “Clinical‐Functional Vulnerability Index‐20 (IVCF‐20): Rapid Recognition of Frail Older Adults, ”Revista de Saúde Pública50(2016): 81, . doi.org/10.1590/S1518-8787.2016050006963
  33. I. C. Lorenzet, M. N. Chatkin, andL. M. Nogueira, “Low Prevalence of Use of Benzodiazepines by Older People in Pelotas (RS), ”Geriatrics, Gerontology and Aging9, no. 3(2015): 132–136, . doi.org/10.5327/Z2447-2115201500030005
  34. N. M. Linkievicz, V. Sgnaolin, P. Engroff, P. Engrof, M. F. Pereira, andA. Cataldo, Neto, “Deprescribing Psychotropic Drugs in a Geriatric Psychiatry Outpatient Clinic, ”Geriatrics, Gerontology and Aging18(2024): e0000043, . doi.org/10.53886/gga.e0000043_EN
  35. H. C. Janssen, M. M. Samson, I. B. Meeuwsen, et al. , “Strength, Mobility and Falling in Women Referred to a Geriatric Outpatient Clinic, ”Aging Clinical and Experimental Research16, no. 2(2004): 122–125, . doi.org/10.1007/BF03324540
  36. M. B. O. Freire, B. G. C. da Silva, A. D. Bertoldi, et al. , “Benzodiazepines Utilization in Brazilian Older Adults: A Population‐Based Study, ”Revista de Saúde Pública56(2022): 10, . doi.org/10.11606/s1518-8787.2022056003740
  37. M. M. Alvim, D. T. Cruz, M. T. Vieira, et al. , “Prevalence of and Factors Associated With Benzodiazepine Use in Community‐Resident Elderly Persons, ”Revista Brasileira de Geriatria e Gerontologia20, no. 4(2017): 463–473, . doi.org/10.1590/1981-22562017020.170042
  38. F. Tian, Z. Chen, X. Chen, andM. Zhao, “Increasing Trends of Polypharmacy and Potentially Inappropriate Medication Use in Older Lung Cancer Patients in China: A Repeated Cross‐Sectional Study, ”Frontiers in Pharmacology13(2022): 935764, . doi.org/10.3389/fphar.2022.935764
  39. Y. Zhang, Z. Chen, andF. Tian, “Potentially Inappropriate Medications in Older Chinese Outpatients Based on the Beers Criteria and Chinese Criteria, ”Frontiers in Pharmacology13(2022): 991087, . doi.org/10.3389/fphar.2022.991087
  40. Q. ChenandL. Zhang, “Analysis of Potentially Inappropriate Medications (PIM) Used in Elderly Outpatients in Departments of Internal Medicine by Using the Screening Tool of Older Persons' Potentially Inappropriate Prescriptions (STOPP) Criteria, ”Annals of Palliative Medicine10, no. 4(2021): 4678–4686, . doi.org/10.21037/apm-21-799
  41. Y. Uragami, K. Takikawa, H. Kareki, K. Kimura, K. Yamamoto, andN. Iihara, “Effect of Number of Medications and Use of Potentially Inappropriate Medications on Frailty Among Early‐Stage Older Outpatients, ”Journal of Pharmaceutical Health Care and Sciences7, no. 1(2021): 15, . doi.org/10.1186/s40780-021-00195-x
  42. Y. Huang, L. Zhang, X. Huang, K. Liu, Y. Yu, andJ. Xiao, “Potentially Inappropriate Medications in Chinese Community‐Dwelling Older Adults, ”International Journal of Clinical Pharmacy42, no. 2(2020): 598–603, . doi.org/10.1007/s11096-020-00980-y
  43. Brasil. Ministério da Saúde. Secretaria de Ciência, Tecnologia, Inovação e Insumos Estratégicos em Saúde. Departamento de Assistência Farmacêutica e Insumos Estratégicos, Relação Nacional de Medicamentos Essenciais: RENAME 2024 [recurso eletrônico](Ministério da Saúde, 2024), .
  44. United Nations, Report of the International Narcotics Control Board for 2022(United Nations, 2023), .
  45. T. T. Ma, Z. Wang, X. Qin, et al. , “Global Trends in the Consumption of Benzodiazepines and Z‐Drugs in 67 Countries and Regions From 2008 to 2018: A Sales Data Analysis, ”Sleep46, no. 10(2023): zsad124, . doi.org/10.1093/sleep/zsad124
  46. Brasil. Ministério da Saúde. Agência Nacional de Vigilância Sanitária, Resolução da Diretoria Colegiada – RDC n° 871, de 16 de maio de 2024. Dispõe sobre a atualização do Anexo I (Listas de Substâncias Entorpecentes, Psicotrópicas, Precursoras e Outras sob Controle Especial) da Portaria SVS/MS n° 344(Diário Oficial da União, 2024), .
  47. N. RybaandR. Rainess, “Z‐Drugs and Falls: A Focused Review of the Literature, ”Senior Care Pharmacist35, no. 12(2020): 549–554, . doi.org/10.4140/TCP.n.2020.549
  48. N. Treves, A. Perlman, L. K. Geron, et al. , “Z‐Drugs and Risk for Falls and Fractures in Older Adults‐a Systematic Review and Meta‐Analysis, ”Age and Ageing47, no. 2(2018): 201–208, . doi.org/10.1093/ageing/afx167
  49. K. Donnelly, R. Bracchi, J. Hewitt, P. A. Routledge, andB. Carter, “Benzodiazepines, Z‐Drugs and the Risk of Hip Fracture: A Systematic Review and Meta‐Analysis, ”PLoS One12, no. 4(2017): e0174730, . doi.org/10.1371/journal.pone.0174730
  50. E. Reeve, D. Gnjidic, J. Long, andS. Hilmer, “A Systematic Review of the Emerging Definition of 'deprescribing' With Network Analysis: Implications for Future Research and Clinical Practice, ”British Journal of Clinical Pharmacology80, no. 6(2015): 1254–1268, . doi.org/10.1111/bcp.12732
  51. A. T. Page, C. D. Etherton‐Beer, R. M. Clifford, et al. , “Deprescribing in frail older people – Do doctors and pharmacists agree?, ”Research in Social & Administrative Pharmacy12, no. 3(2016): 438–449, . doi.org/10.1016/j.sapharm.2015.08.011
  52. C. Tannenbaum, P. Martin, R. Tamblyn, A. Benedetti, andS. Ahmed, “Reduction of Inappropriate Benzodiazepine Prescriptions Among Older Adults Through Direct Patient Education: The EMPOWER Cluster Randomized Trial, ”JAMA Internal Medicine174, no. 6(2014): 890–898, . doi.org/10.1001/jamainternmed.2014.949
  53. A. Ma, W. Thompson, E. Polemiti, et al. , “Deprescribing of Chronic Benzodiazepine Receptor Agonists for Insomnia in Adults, ”Cochrane Database of Systematic Reviews2019, no. 7(2019): CD013371, . doi.org/10.1002/14651858.CD013371
  54. H. W. Quek, A. Page, K. Lee, et al. , “The Effect of Deprescribing Interventions on Mortality and Health Outcomes in Older People: An Updated Systematic Review and Meta‐Analysis, ”British Journal of Clinical Pharmacology90, no. 10(2024): 2409–2482, . doi.org/10.1111/bcp.16200
  55. L. Jacob, M. A. Rapp, andK. Kostev, “Long‐Term Use of Benzodiazepines in Older Patients in Germany: A Retrospective Analysis, ”Therapeutic Advances in Psychopharmacology7, no. 6–7(2017): 191–200, . doi.org/10.1177/2045125317696454
  56. K. J. Lee, Y. Wei, S. M. Leung, et al. , “A Decade of Benzodiazepine and Z‐Drug Use in Hong Kong: A Longitudinal Study, ”Lancet Regional Health ‐ Western Pacific59(2025): 101591, . doi.org/10.1016/j.lanwpc.2025.101591
  57. M. Montero‐Odasso, N. van der Velde, F. C. Martin, et al. , “World Guidelines for Falls Prevention and Management for Older Adults: A Global Initiative, ”Age and Ageing51, no. 9(2022): afac205, . doi.org/10.1093/ageing/afac205
  58. Q. Xu, X. Ou, andJ. Li, “The Risk of Falls Among the Aging Population: A Systematic Review and Meta‐Analysis, ”Frontiers in Public Health10(2022): 902599, . doi.org/10.3389/fpubh.2022.902599
  59. D. A. Jehu, J. C. Davis, R. S. Falck, et al. , “Risk Factors for Recurrent Falls in Older Adults: A Systematic Review With Meta‐Analysis, ”Maturitas144(2021): 23–28, . doi.org/10.1016/j.maturitas.2020.10.021
  60. C. O. Costa, J. C. Branco, I. S. Vieira, et al. , “Prevalence of Anxiety and Associated Factors in Adults, ”Jornal Brasileiro de Psiquiatria68, no. 2(2019): 92–100, . doi.org/10.1590/0047-2085000000232
  61. V. Shapoval, M. de Saint Hubert, P. Evrard, et al. , “Barriers to Deprescribing Benzodiazepines in Older Adults in a Survey of European Physicians, ”JAMA Network Open8, no. 3(2025): e2459883, . doi.org/10.1001/jamanetworkopen.2024.59883
  62. A. Lukačišinová, J. Reissigová, M. Ortner‐Hadžiabdić, et al. , “Prevalence, Country‐Specific Prescribing Patterns and Determinants of Benzodiazepine Use in Community‐Residing Older Adults in 7 European Countries, ”BMC Geriatrics24, no. 1(2024): 240, . doi.org/10.1186/s12877-024-04742-7
  63. G. Guaiana, N. Meader, C. Barbui, et al. , “Pharmacological Treatments in Panic Disorder in Adults: A Network Meta‐Analysis, ”Cochrane Database of Systematic Reviews11, no. 11(2023): CD012729, . doi.org/10.1002/14651858.CD012729.pub3
  64. L. Maclagan, C. Maxwell, D. Harris, et al. , “Sex Differences in Antipsychotic and Benzodiazepine Prescribing Patterns: A Cohort Study of Newly Admitted Nursing Home Residents With Dementia in Ontario, Canada, ”Drugs & Aging37(2020): 817–827, . doi.org/10.1007/s40266-020-00799-2
  65. C. Mestres Gonzalvo, V. Milosevic, B. P. C. van Oijen, et al. , “The Use of an Electronic Clinical Rule to Discontinue Chronically Used Benzodiazepines and Related Z Drugs, ”European Journal of Clinical Pharmacology74, no. 2(2018): 227–231, . doi.org/10.1007/s00228-017-2369-1
  66. Y. C. ChenandD. H. Kreling, “The Effect of the Medicare Part D Benzodiazepine Exclusion on the Utilization Patterns of Benzodiazepines and Substitute Medications, ”Research in Social & Administrative Pharmacy: RSAP10, no. 2(2014): 438–447, . doi.org/10.1016/j.sapharm.2013.06.008
  67. J. Bolt, P. Khattra, D. Chiu, andC. Inglis, “Pharmacists' Barriers and Enablers to Deprescribing: A Systematic Review and Meta‐Synthesis, ”Research in Social & Administrative Pharmacy22, no. 4(2026): 561–573, . doi.org/10.1016/j.sapharm.2026.01.006
  68. T. A. R. Melo, C. O. Bezerra, B. D. Fernandes, I. Rotta, W. C. T. Reis, andP. M. Aguiar, “Pharmacists' Contribution to Benzodiazepine Deprescribing in Older Outpatients: A Systematic Review and Meta‐Analysis, ”International Journal of Clinical Pharmacy45, no. 5(2023): 1037–1049, . doi.org/10.1007/s11096-023-01637-2
  69. K. Isomura, X. Wang, Z. Chang, et al. , “Factors Associated With Long‐Term Benzodiazepine and Z‐Drug Use Across the Lifespan and 5‐Year Temporal Trajectories Among Incident Users: A Swedish Nationwide Register‐Based Study, ”European Journal of Clinical Pharmacology79, no. 8(2023): 1091–1105, . doi.org/10.1007/s00228-023-03515-2

Republished from the open web under CC-BY. Authors: do Carmo Júnior NM, do Nascimento MMG, de Loyola Filho AI, Azevedo DC, Valle EA, Reis EA. Read the original.