AIMS: The aim of this study was to compare the clinical decision-making for benzodiazepine deprescribing between a healthcare provider (HCP) and an artificial intelligence (AI) chatbot GPT4 (ChatGPT-4). METHODS: We analysed real-world data from a Croatian cohort of community-dwelling benzodiazepine patients (n = 154) within the EuroAgeism H2020 ESR 7 project. HCPs evaluated the data using pre-established deprescribing criteria to assess benzodiazepine discontinuation potential. The research team devised and tested AI prompts to ensure consistency with HCP judgements. An independent researcher employed ChatGPT-4 with predetermined prompts to simulate clinical decisions for each patient case. Data derived from human-HCP and ChatGPT-4 decisions were compared for agreement rates and Cohen's kappa. RESULTS: Both HPC and ChatGPT identified patients for benzodiazepine deprescribing (96.1% and 89.6%, respectively), showing an agreement rate of 95% (κ = .200, P = .012). Agreement on four deprescribing criteria ranged from 74.7% to 91.3% (lack of indication κ = .352, P < .001; prolonged use κ = .088, P = .280; safety concerns κ = .123, P = .006; incorrect dosage κ = .264, P = .001). Important limitations of GPT-4 responses were identified, including 22.1% ambiguous outputs, generic answers and inaccuracies, posing inappropriate decision-making risks. CONCLUSIONS: While AI-HCP agreement is substantial, sole AI reliance poses a risk for unsuitable clinical decision-making. This study's findings reveal both strengths and areas for enhancement of ChatGPT-4 in the deprescribing recommendations within a real-world sample. Our study underscores the need for additional research on chatbot functionality in patient therapy decision-making, further fostering the advancement of AI for optimal performance.
- MeSH
- benzodiazepiny škodlivé účinky MeSH
- depreskripce * MeSH
- klinické rozhodování MeSH
- lidé MeSH
- umělá inteligence * MeSH
- zdravotnický personál MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
INTRODUCTION: Previous research has raised concerns about high prevalence of drug-related problems, polypharmacy and inappropriate benzodiazepine prescribing in nursing homes (NHs) and confirmed lack of studies from Central and South-Eastern Europe. The aim of our study was to determine the prevalence and characteristics of polypharmacy, hyperpolypharmacy and inappropriate benzodiazepine prescribing in NH residents in Croatia. METHODS: Data from 226 older NH residents from five Croatian NHs were collected using the InterRAI Long-Term Care Facilities assessment form. The prevalence and determinants of polypharmacy/hyperpolypharmacy and patterns of inappropriate benzodiazepine prescribing were documented. RESULTS: The prevalence of polypharmacy (49.6%) and hyperpolypharmacy (25.7%) among NH residents was high. In our study, 72.1% of NH residents were prescribed at least one psychotropic agent, 36.7% used 2-3 psychotropics and 6.6% used 4+ psychotropics. Among benzodiazepine users (55.8%), 28% of residents were prescribed benzodiazepines in higher than recommended geriatric doses, 75% used them for the long term and 48% were prescribed concomitant interacting medications. The odds of being prescribed polypharmacy/hyperpolypharmacy were significantly higher for older patients with polymorbidity (6+ disorders, proportional odds ratio (POR) = 19.8), type II diabetes (POR = 5.2), ischemic heart disease (POR = 4.6), higher frailty (Clinical Frailty Scale (CFS ≥5); POR = 4.3) and gastrointestinal problems (POR = 4.8). CONCLUSIONS: Our research underscores the persistent challenge of inappropriate medication use and drug-related harms among older NH residents, despite existing evidence and professional campaigns. Effective regulatory and policy interventions, including the implementation of geriatrician and clinical pharmacy services, are essential to address this critical issue and ensure optimal medication management for vulnerable NH populations.
- MeSH
- benzodiazepiny * terapeutické užití škodlivé účinky aplikace a dávkování MeSH
- domovy pro seniory statistika a číselné údaje MeSH
- lékařská praxe - způsoby provádění statistika a číselné údaje normy MeSH
- lidé MeSH
- nevhodné předepisování * statistika a číselné údaje MeSH
- pečovatelské domovy * statistika a číselné údaje MeSH
- polypharmacy * MeSH
- prevalence MeSH
- psychotropní léky terapeutické užití škodlivé účinky MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Check Tag
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Chorvatsko MeSH
Pharmacist's geriatric assessment can provide valuable insights into potential deprescribing targets, while including important information on various health-related domains. Data collected from a geriatric assessment questionnaire, for 388 patients, from the Croatian cohort of the EuroAgeism H2020 ESR 7 international project, along with guideline-based deprescribing criteria, were used to analyse potentially inappropriate prescribing of four medication groups (benzodiazepines (BZN), proton pump inhibitors (PPI), opioids, and non-steroidal anti-inflammatory drugs (NSAID)), and to assess the deprescribing potential. Binary logistic regression was used to explore the effects of age, gender, number of medicines and diagnoses, self-reported health, frailty score, and healthcare utilization on the likelihood of needing deprescribing. More than half of participants (n = 216, 55.2%) are candidates for deprescribing, with 31.1% of PPI, 74.8% of NSAID, 75% of opioid, and 96.1% of BZN users meeting at least one criterion. Most common criteria for deprescribing were inappropriately long use and safety concerns. Women (aOR = 2.58; p < 0.001), those reporting poor self-reported health (aOR = 5.14; p < 0.001), and those exposed to polypharmacy (aOR = 1.29; p < 0.001) had higher odds of needing to have medicines deprescribed. The high rate of deprescribing potential warrants prompt action to increase patient safety and decrease polypharmacy. Pharmacist's geriatric assessment and deprescribing-focused medication review could be used to lead a personalised approach.
AIMS: Community-based pharmacists are an important stakeholder in providing continuing care for chronic multi-morbid patients, and their role is steadily expanding. The aim of this study is to examine the literature exploring community-based pharmacist-initiated and/or -led deprescribing and to evaluate the impact on the success of deprescribing and clinical outcomes. METHODS: Library and clinical trials databases were searched from inception to March 2020. Studies were included if they explored deprescribing in adults, by community-based pharmacists and were available in English. Two reviewers extracted data independently using a pre-agreed data extraction template. Meta-analysis was not performed due to heterogeneity of study designs, types of intervention and outcomes. RESULTS: A total of 24 studies were included in the review. Results were grouped based on intervention method into four categories: educational interventions; interventions involving medication review, consultation or therapy management; pre-defined pharmacist-led deprescribing interventions; and pharmacist-led collaborative interventions. All types of interventions resulted in greater discontinuation of medications in comparison to usual care. Educational interventions reported financial benefits as well. Medication review by community-based pharmacist can lead to successful deprescribing of high-risk medication, but do not affect the risk or rate of falls, rate of hospitalisations, mortality or quality of life. Pharmacist-led medication review, in patients with mental illness, resulting in deprescribing improves anticholinergic side effects, memory and quality of life. Pre-defined pharmacist-led deprescribing did not reduce healthcare resource consumptions but can contribute to financial savings. Short follow-up periods prevent evaluation of long-term sustainability of deprescribing interventions. CONCLUSION: This systematic review suggests community-based pharmacists can lead deprescribing interventions and that they are valuable partners in deprescribing collaborations, providing necessary monitoring throughout tapering and post-follow-up to ensure the success of an intervention.
- MeSH
- depreskripce * MeSH
- dospělí MeSH
- farmaceuti * MeSH
- kvalita života MeSH
- lidé MeSH
- poskytování zdravotní péče MeSH
- Check Tag
- dospělí MeSH
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- přehledy MeSH
- systematický přehled MeSH
