There has been an increasing focus on deprescribing in psychiatry recently, particularly of antipsychotic medication, with recognition that not all patients with psychotic disorders require lifelong medication. We summarize some empirical and theoretical papers, and examine case studies to provide instruction on this topic.
Recent studies have found that slower tapering (over months or longer) of antipsychotics is associated with a lower relapse rate than quicker tapering (weeks). Case studies presented suggest that the process of reduction is associated with the precipitation or exacerbation of psychotic symptoms and that a slower process of reduction may minimize this effect. This may be because faster reductions cause greater disruption of homeostatic equilibria, provoking psychotic symptoms either as direct withdrawal symptoms or consequences of nonpsychotic withdrawal symptoms (e.g. insomnia) - although not all patients will experience withdrawal symptoms. This suggests that smaller dose reductions, especially at lower doses, made very gradually, may minimize the risk of psychotic symptoms.
Slower tapering of antipsychotics may provide time for adaptations made to the presence of the medications to resolve, thus reducing the disruption to homeostatic equilibrium caused by dose reduction, potentially reducing the risk of relapse. Exacerbation of psychotic symptoms on antipsychotic reduction may not represent evidence of the need for a higher dose of antipsychotic on a long-term basis but may indicate the need for more gradual reduction. Gradual reduction of antipsychotics, especially after long-term use in clinical practice is prudent.

Anticholinergic-induced cognitive impairment may be partially reversible upon cessation. A barrier to deprescribing of anticholinergics is the unknown risk of anticholinergic adverse drug withdrawal events (ADWE), with only limited information available on the incidence, timing and severity of anticholinergic ADWE. We report the case of a 76-year-old woman who experienced significant cognitive improvement following deprescribing long-term use of a strong anticholinergic drug, doxepin, and dose reduction of another possible anticholinergic agent. The patient decided to abruptly stop taking doxepin, despite a planned careful taper with twice weekly monitoring, but did not experience any severe anticholinergic ADWE and subsequently had significantly improved cognitive function. Future research should focus on better understanding the risk of anticholinergic ADWE so that anticholinergic deprescribing decisions, including how often and by how much to taper, can be made confidently and safely.

BACKGROUND: The revised Patients\' Attitudes Towards Deprescribing (rPATD) questionnaire was developed to capture beliefs and perceptions of patients about deprescribing. In general, handling of missing data is underreported in survey studies. Underlying mechanisms related to missing data may impact the findings from survey studies.
OBJECTIVE: The aim of this study was to assess the missing data in studies using the rPATD questionnaire through a systematic review and datasets from two studies.
METHODS: First, this review updated a systematic review on the rPATD (and other versions). We searched Medline via OVID, EMBASE, Scopus, Web of Science until 31st January 2023. Missing data reporting and methods to handle them were collected. Second, data from two deprescribing studies were analyzed using three methods of missing data handling: complete case analysis, personal mean substitution, and multiple imputation. We compared the scores from each domain and the associations of the domains with two questions from the rPATD to highlight how using different methods can influence the interpretation of study findings.
RESULTS: We identified 49 studies: 31 (63 %) from this study and 18 (37 %) from the original systematic review. The question or domain with the most missing data could be identified in 9 studies (18.4 %). Missing data management was reported in 19 studies (38.8 %). In one case analysis, the \"Burden\" domain was significantly associated with the question \"I would like to try stopping one of my medicines to see how I feel without it\" using complete case analysis (p = 0.044) or multiple imputation (p = 0.038), but not when using personal mean substitution (p = 0.057).
CONCLUSIONS: Missing data and methods used to handle missing data were underreported in studies using the rPATD questionnaire. The methods should be chosen carefully as our analyses from two distinct studies suggest that they may impact the interpretation of the findings from the questionnaire.

Falls are the most common medication-related safety event in older adults. Deprescribing fall risk-increasing drugs (FRIDs) may mitigate fall risk. This study assesses the effects of an innovative deprescribing program in reducing FRID burden and falls-related acute visits over 1 year.
The Falls Assessment of Medications in the Elderly (FAME) Program is a pilot deprescribing program designed to improve medication safety in Veterans aged ≥65, screening positive for high fall risk at the Durham Veterans Affairs Health Care System. Central case finding and electronic case reviews with deprescribing recommendations were completed by an interdisciplinary team, forwarded to prescribers for approval, then implemented during follow-up telephone visits by FAME team. Primary outcome was change in FRID burden calculated by modified Drug Burden Index (DBI) at 1 year and an exploratory outcome was 1-year fall-related acute visits.
Overall, 472 patients (236 intervention cases, 236 matched controls) were included in the study. Of the 236 patients receiving a FAME deprescribing plan, 147 had recommendations approved by prescriber and patient. In the intention-to-treat analysis, the 1-year change in modified DBI was -0.15 (95% CI -0.23, -0.08) in the intervention cohort and -0.11 (-0.21, -0.00) in the matched control cohort (p = 0.47). The odds of increasing DBI by a clinically important threshold of 0.5 was significantly lower in the FAME cohort (OR 0.37, 0.21, 0.66). Fall-related acute events occurred in 6.3% of patients in the intervention group versus 11.0% in control patients over a one-year period (p = 0.10).
The program was associated with a significantly lower odds of further increasing FRID burden at 1 year compared to matched controls. An electronic case review and telephone counseling program has the potential to reduce drug-related falls in high-risk older adults.

Two deprescribing search filters for MEDLINE and one deprescribing search filter for Embase have been recently developed, including objectively developed search filters. The objective of this case study was to implement these three deprescribing search filters in systematic review (SR) search strategies and to assess their effect on performances. SR that independently developed original search strategies (OSS) were selected. The deprescribing filters were implemented in each OSS, generating two implemented search strategies (ISS1 and ISS2) in MEDLINE and one ISS (ISS3) in Embase. OSS were re-run on the same date as ISS. The performances of ISS and OSS were calculated and compared. Two SR were included (SR1 and SR2). For MEDLINE, SR1 included 12 articles. The sensitivity was 50% for OSS, 58% for ISS1 and 42% for ISS2. SR2 included four articles. The sensitivity of OSS, ISS 1 and 2 was 25%. For Embase, SR1 included 12 articles. The sensitivity was 33% for OSS and 58% for ISS3. SR2 included four articles. None of the four included articles were retrieved with OSS or ISS3. While sensitivity of OSS was moderate, the objectively developed deprescribing filters maintained or slightly improved this sensitivity when implementing.

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.

Deprescribing has emerged as an important aspect of patient-centred medication management but is vastly underutilized in clinical practice. The current narrative review will describe an innovative patient-centred approach to deprescribing-N-of-1 trials. N-of-1 trials involve multiple-period crossover design experiments conducted within individual patients. They enable patients to compare the effects of two or more treatments or, in the case of deprescribing N-of-1 trials, continuation with a current treatment versus no treatment or placebo. N-of-1 trials are distinct from traditional between-patient studies such as parallel-group or crossover designs which provide an average effect across a group of patients and obscure differences between individuals. By generating data on the effect of an intervention for the individual rather than the population, N-of-1 trials can promote therapeutic precision. N-of-1 trials are a particularly appealing strategy to inform deprescribing because they can generate individual-level evidence for deprescribing when evidence is uncertain, and can thus allay patient and physician concerns about discontinuing medications. To illustrate the use of deprescribing N-of-1 trials, we share a case example of an ongoing series of N-of-1 trials that compare maintenance versus deprescribing of beta-blockers in patients with heart failure with preserved ejection fraction. By providing quantifiable data on patient-reported outcomes, promoting personalized pharmacotherapy, and facilitating shared decision making, N-of-1 trials represent a potentially transformative strategy to address polypharmacy.

To describe and evaluate the contribution of multiple coding approaches applied to a clinical conversation on deprescribing in primary care (PC).
Seven distinct coding approaches were applied to one audiotaped consultation. Only exchanges related to deprescribing a benzodiazepine (BZD) were coded for: content, interaction, arguments, connectors, transitions, orientation towards deprescribing and concordance with a deprescribing algorithm. A discursive map presents the unfolding of the exchanges.
The deprescribing conversation was broken down into 31 utterances divided into three segments: opening (n = 6), development (n = 16) and closing (n = 9). The family physician dominated the last two segments and most of her utterances were favorable to BZD deprescribing while the patient\'s utterances were generally unfavorable in the first two segments. The number of distinct codes assigned to utterances varied according to the coding approach. The map illustrates how each utterance can be viewed through different lenses revealing the dynamics and complexity of the deprescribing conversation.
This multidimensional methodological approach with its proposed way of presenting results, either quantitatively or qualitatively, and its map offer a comprehensive evaluation of the deprescribing process in this PC setting.
This novel multidimensional coding approach has potential to be applied to a range of other topics in clinical communications.

General practitioners (GPs) should regularly review patients\' medications and, if necessary, deprescribe, as inappropriate polypharmacy may harm patients\' health. However, deprescribing can be challenging for physicians. This study investigates GPs\' deprescribing decisions in 31 countries.
In this case vignette study, GPs were invited to participate in an online survey containing three clinical cases of oldest-old multimorbid patients with potentially inappropriate polypharmacy. Patients differed in terms of dependency in activities of daily living (ADL) and were presented with and without history of cardiovascular disease (CVD). For each case, we asked GPs if they would deprescribe in their usual practice. We calculated proportions of GPs who reported they would deprescribe and performed a multilevel logistic regression to examine the association between history of CVD and level of dependency on GPs\' deprescribing decisions.
Of 3,175 invited GPs, 54% responded (N = 1,706). The mean age was 50 years and 60% of respondents were female. Despite differences across GP characteristics, such as age (with older GPs being more likely to take deprescribing decisions), and across countries, overall more than 80% of GPs reported they would deprescribe the dosage of at least one medication in oldest-old patients (> 80 years) with polypharmacy irrespective of history of CVD. The odds of deprescribing was higher in patients with a higher level of dependency in ADL (OR =1.5, 95%CI 1.25 to 1.80) and absence of CVD (OR =3.04, 95%CI 2.58 to 3.57).
The majority of GPs in this study were willing to deprescribe one or more medications in oldest-old multimorbid patients with polypharmacy. Willingness was higher in patients with increased dependency in ADL and lower in patients with CVD.

Moxifloxacin is a third-generation fluoroquinolone antibiotic with broad spectrum activity and also used as component of anti-tubercular therapy (ATT). Though frequently prescribed, moxifloxacin induced encephalopathy is uncommonly seen. Here we describe a forty four year old male, with features of disseminated tuberculosis (TB) and suspected case of multi-drug resistance (MDR), who developed acute encephalopathy. Extensive laboratory investigations, neuroimaging of brain, cerebrospinal fluid analysis was unremarkable. On stopping moxifloxacin, which was being administerd as part of ATT for MDR TB, encephalopathy resolved completely, thereby proving it to be a case of moxifloxacin induced encephalopathy. To conclude, by presenting this case, we wish to raise awareness about moxifloxacin induced encephalopathy among healthcare providers.