Deprescribing potential of commonly used medications among community-dwelling older adults: insights from a pharmacist's geriatric assessment.

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.

Clinical decision-making in benzodiazepine deprescribing by healthcare providers vs. AI-assisted approach.

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.

Deprescribing in a multimorbid older adult: A case vignette study among community pharmacists and primary care physicians.

Collaborative deprescribing can include pharmacists' medication review with identification and suggestion of potential deprescribing targets to physicians. Case vignettes can be a valuable method for researching variations in clinical decision making, especially in settings unaccustomed to newer clinical approaches such as deprescribing. This study aimed to explore if pharmacists can identify deprescribing targets and if physicians would accept pharmacist's deprescribing rationales. A cross-sectional study was performed using an online case vignette based on a real-life elderly patient. Pharmacists were asked to indicate which medicines they would recommend deprescribing, alongside a rationale. Physicians were asked to state their acceptance of the proposed pharmacist's deprescribing suggestion. Pharmacists gave 1275 deprescribing rationales, and most were given for deprescribing opioids, NSAID and diuretics. Physicians would accept rationales to deprescribe a median of 10 medicines, while pharmacist would recommend deprescribing a median of six medicines. Most difference lays in deprescribing of preventative medicines. Healthcare providers share agreement on deprescribing targets, but pharmacists show hesitancies in making recommendations that could hamper potential collaboration. Action is needed to improve pharmacists' skills in recognizing deprescribing targets and confidence in making suggestions, which could lead to opening of possibilities for joint patient care.

Differences in Factors Influencing Deprescribing between Primary Care Providers: Cross-Sectional Study.

Deprescribing is a notable approach to improve medication management, but few healthcare systems recognize it. To introduce a new practice, it is important to examine the factors influencing the provision of a new or elaborate cognitive service within the desired setting. This study explores the perceived barriers and facilitators of deprescribing by primary healthcare providers, and identifies the factors associated with a willingness to suggest deprescribing. A cross-sectional survey was conducted (in Croatia, between October 2021 and January 2022) using a validated comprehensive healthcare providers' opinions, preferences, and attitudes towards deprescribing (CHOPPED) questionnaire. A total of 419 pharmacists and 124 physicians participated. Participants showed a high willingness to deprescribe, with significantly higher scores in physicians than in pharmacists (5.00 (interquartile range-IQR 5-5) vs. 4.00 (IQR 4-5), p < 0.001). Pharmacists had significantly higher scores in seven out of ten factors (knowledge, awareness, collaboration facilitators, competencies facilitators, healthcare system facilitators, collaboration barriers, competencies barriers) while in the remaining three factors (patient facilitators, patient and healthcare system barriers) there was no difference in scores. The strongest positive correlation with willingness to suggest deprescribing was found with the collaboration and healthcare system facilitators factors for pharmacists (G = 0.331, p < 0.001, and G = 0.309, p < 0.001, respectively), and with knowledge, awareness, and patient facilitators factors for physicians (G = 0.446, p = 0.001; G = 0.771, p < 0.001; and G = 0.259, p = 0.043, respectively). Primary healthcare providers are willing to suggest deprescribing but face different barriers and facilitators. For pharmacists, the most important facilitators were extrinsic, while for physicians they were more intrinsic and patient related. The stated results provide target areas which one could focus upon to help to engage healthcare providers in deprescribing.

A Need for Benzodiazepine Deprescribing in the COVID-19 Pandemic: A Cohort Study.

The COVID-19 pandemic has had a negative impact on patients' mental health. The aim of this study was to explore whether the pandemic influenced the use and prescription of benzodiazepines and increased the need for community pharmacist involvement in counselling on deprescribing. Electronic prescription-related data from one pharmacy in Croatia were retrospectively collected for the COVID-19 period (April 2020 to March 2021) and compared with pre-COVID-19 (April 2019 to March 2020) data. Data were collected for patients diagnosed with anxiety disorders who filled out more than one prescription for benzodiazepines, and included age, sex, number of medicines, benzodiazepines, and comorbidities. A total of 1290 benzodiazepine users were identified; of these, 32.87% started using benzodiazepines during the COVID-19 period, while 35.2% continued with benzodiazepine use. More than half of all benzodiazepine users were identified as potential deprescribing candidates (dispensed more than three prescriptions). Women, older patients, multimorbid individuals, and patients with polypharmacy were more likely to use benzodiazepines for a prolonged period. The results show a negative trend of benzodiazepine usage among community-dwelling patients during the pandemic. Community pharmacists can identify potential candidates for deprescribing and initiate a process that ensures more rational use of benzodiazepines and increases the safety of treatment.

Development and Validation of Comprehensive Healthcare Providers' Opinions, Preferences, and Attitudes towards Deprescribing (CHOPPED Questionnaire).

Successful implementation of deprescribing requires exploring healthcare professionals' opinions, preferences, and attitudes towards deprescribing. The aim of this study was to develop and validate the questionnaire exploring healthcare providers' opinions preferences and attitudes towards deprescribing (CHOPPED questionnaire). This was a cross-sectional on-line survey. A comprehensive 58-item questionnaire, in two versions (for pharmacists and physicians), was developed through an extensive literature review and interviews with experts. The questionnaire was validated, and its reliability was assessed through data collected from 356 pharmacists and 109 physicians. Exploratory factor analysis was performed, and 37- and 35-item questionnaires were developed. Ten factors were identified: knowledge, awareness, patient barriers and facilitators, competencies barriers and facilitators, collaboration barriers and facilitators, and healthcare system barriers and facilitators. The CHOPPED tool has satisfactory face, content (CVR > 0.62) (content validity ratio), construct, and criterion validity. The reliability statistics of all factors in both versions was acceptable with Cronbach's alpha > 0.6. Test−retest reliability analysis showed that gamma rank correlations of total factor scores were strong and very strong (between 0.519 and 0.938). The CHOPPED tool can be used as a valid and reliable tool to explore healthcare providers' opinions and attitudes toward discontinuing medications in the primary care setting in Croatia.

Community-based pharmacists' role in deprescribing: A systematic review.

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.

Exploring Patients' Attitudes Toward Deprescribing and Their Perception of Pharmacist Involvement in a European Country: A Cross-Sectional Study.

PURPOSE: To explore how adult patients perceive deprescribing in a country with developing pharmaceutical care. PATIENTS AND METHODS: This was a multicenter cross-sectional study conducted in ten community pharmacies across Croatia. Community-dwelling adults 40 years and older, taking at least one prescription medication long term, were invited to participate. The revised and validated Patients' Attitude Towards Deprescribing Questionnaire was used to investigate community-dwelling adults' opinions on potential medication discontinuation. Questions regarding the patients' perception of pharmacist competences and involvement as well as patients' preferences in deprescribing were added. Collected data were analyzed using IBM SPSS Statistics using descriptive and inferential statistical analysis. Binary logistic regression was used to explore potential predictive factors of willingness to have medication deprescribed. All tests were performed as two-tailed and a p < 0.05 was considered statistically significant. RESULTS: A total of 315 adults aged 40 years and older completed the questionnaire. Majority of participants, 83.81% (95% CI, 79.72% to 87.90%) stated that they were satisfied with their medications, and 83.81% (95% CI, 79.72% to 87.90%) would be willing to deprescribe one or more medications. Participants expressed a positive attitude toward pharmacists' competences (68.89%, 95% CI, 63.75% to 74.03%) and involvement in deprescribing (71.11%, 95% CI, 66.08% to 76.14%). Participants who stated specific medication as deprescribing preference were more likely show dissatisfaction with current medication and show greater willingness to have medication deprescribed. Three factors were found to be associated with a positive attitude towards deprescribing: low concerns about stopping factor score (aOR 0.54, 95% CU=0.35-0.84; p=0.006), low appropriateness factor score (aOR 0.62, 95% CI=0.39-0.98; p=0.039), and a positive opinion on pharmacist involvement (aOR 2.35, 95% CI=1.18-4.70; p= 0.016). CONCLUSION: This study showed the patient's willingness for deprescription as well as their positive attitude towards pharmacists being involved in the process. Results favour transition to a patient-centred care and shared-decision making model.