Reducing potentially inappropriate polypharmacy at a national and international level: the impact of deprescribing networks.

INTRODUCTION: Over the past decade, polypharmacy has increased dramatically. Measurable harms include falls, fractures, cognitive impairment, and death. The associated costs are massive and contribute substantially to low-value health care. Deprescribing is a promising solution, but there are barriers. Establishing a network to address polypharmacy can help overcome barriers by connecting individuals with an interest and expertise in deprescribing and can act as an important source of motivation and resources. AREAS COVERED: Over the past decade, several deprescribing networks were launched to help tackle polypharmacy, with evidence of individual and collective impact. A network approach has several advantages; it can spark interest, ideas and enthusiasm through information sharing, meetings and conversations with the public, providers, and other key stakeholders. In this special report, the details of how four deprescribing networks were established across the globe are detailed. EXPERT OPINION: Networks create links between people who lead existing and/or budding deprescribing practices and policy initiatives, can influence people with a shared passion for deprescribing, and facilitate sharing of intellectual capital and tools to take initiatives further and strengthen impact.This report should inspire others to establish their own deprescribing networks, a critical step in accelerating a global deprescribing movement.

Measuring Quality of Life in Deprescribing Trials: A Scoping Review.

BACKGROUND: Quality of life (QoL) is an important outcome to capture in clinical trials evaluating deprescribing interventions. OBJECTIVE: We aimed to conduct a scoping review to examine how QoL has been measured in deprescribing trials among older people and identify potentially relevant QoL scales, to better inform QoL measurement in future deprescribing trials. METHODS: We searched MEDLINE, Embase, PsycINFO, the Cochrane Central Register of Controlled Trials, Google Scholar, Epistemonikos, ClinicalTrials.gov, and reference lists of eligible studies (from inception to October 2023). We included randomized and non-randomized comparative studies with a control group that evaluated deprescribing and polypharmacy reduction interventions in people ≥ 65 years of age and measured QoL as an outcome. We also included studies describing the development and validation of QoL scales related to deprescribing, polypharmacy, or medication burden in adults ≥ 18 years of age. Two independent reviewers screened titles and abstracts, then full texts. Two independent reviewers extracted data from 25% of eligible studies in order to verify agreement, then a single reviewer extracted data from the remaining studies, which a second reviewer cross-checked. We critically appraised scales based on the COSMIN checklist. RESULTS: We retrieved 7290 articles, of which 52 were eligible for inclusion, including 44 deprescribing trials and eight scale development studies. From these studies, we found 21 scales that have been used in the context of deprescribing/polypharmacy (12 generic scales used in clinical trials and nine medication-specific scales). Variations of the generic EQ-5D were the most used scales. The measurement properties of scales for capturing changes in QoL from deprescribing were uncertain. Medication-specific QoL scales have not been employed in deprescribing clinical trials and thus, their performance in this context is also not clear. CONCLUSIONS: Several existing QoL scales have been applied to the context of deprescribing/polypharmacy clinical trials, and new scales specific to the problem have been proposed. If deprescribing does impact QoL, our findings suggest it is uncertain whether existing QoL scales can practically and reliably capture such a change or whether any scale is best. However, this review compares various aspects of the scales that researchers and clinicians can consider in decisions about measuring QoL in deprescribing trials, and in planning future research. PROTOCOL REGISTRATION: Open Science Framework: osf.io/aez6w.

Revisiting systematic reviews on deprescribing trials to better inform future practice and research.

Deprescribing aims to address the problem of medication overuse in older adults. There has been an increasing number of systematic reviews of 'deprescribing'. We aimed to describe the categories of trials included in recent systematic reviews, and to make recommendations for future research. We categorized 122 trials included in eight recent deprescribing systematic reviews into: discontinuation, deprescribing implementation, medication optimisation (including medication initiation) and non-initiation trials. We identified heterogeneity and inconsistency in the categories of trials included in deprescribing systematic reviews. For example, 39 trials (32.0%) involved medication initiation in addition to the deprescribing component. It is now time for international researchers to develop and validate terminology used for trials involving discontinuation/deprescribing of medications, and to provide recommendations for evidence synthesis that will better inform future research, and translation into practice and policy.

Benzodiazepine Receptor Agonists Use and Cessation Among Multimorbid Older Adults with Polypharmacy: Secondary Analysis from the OPERAM Trial.

BACKGROUND: Benzodiazepine receptor agonists (BZRAs) are commonly prescribed in older adults despite an unfavorable risk-benefit ratio. Hospitalizations may provide a unique opportunity to initiate BZRA cessation, yet little is known about cessation during and after hospitalization. We aimed to measure the prevalence of BZRA use before hospitalization and the rate of cessation 6 months later, and to identify factors associated with these outcomes. METHODS: We conducted a secondary analysis of a cluster randomized controlled trial (OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly [OPERAM]), comparing usual care and in-hospital pharmacotherapy optimization in adults aged 70 years or over with multimorbidity and polypharmacy in four European countries. BZRA cessation was defined as taking one or more BZRA before hospitalization and not taking any BZRA at the 6-month follow-up. Multivariable logistic regression was performed to identify factors associated with BZRA use before hospitalization and with cessation at 6 months. RESULTS: Among 1601 participants with complete 6-month follow-up data, 378 (23.6%) were BZRA users before hospitalization. Female sex (odds ratio [OR] 1.52 [95% confidence interval 1.18-1.96]), a higher reported level of depression/anxiety (OR up to 2.45 [1.54-3.89]), a higher number of daily drugs (OR 1.08 [1.05-1.12]), use of an antidepressant (OR 1.74 [1.31-2.31]) or an antiepileptic (OR 1.46 [1.02-2.07]), and trial site were associated with BZRA use. Diabetes mellitus (OR 0.60 [0.44-0.80]) was associated with a lower probability of BZRA use. BZRA cessation occurred in 86 BZRA users (22.8%). Antidepressant use (OR 1.74 [1.06-2.86]) and a history of falling in the previous 12 months (OR 1.75 [1.10-2.78]) were associated with higher BZRA cessation, and chronic obstructive pulmonary disease (COPD) (OR 0.45 [0.20-0.91]) with lower BZRA cessation. CONCLUSION: BZRA prevalence was high among included multimorbid older adults, and BZRA cessation occurred in almost a quarter of them within 6 months after hospitalization. Targeted BZRA deprescribing programs could further enhance cessation. Specific attention is needed for females, central nervous system-acting co-medication, and COPD co-morbidity. REGISTRATION: ClinicalTrials.gov identifier: NCT02986425. December 8, 2016.

Healthcare Costs and Health-Related Quality of Life in Older Multimorbid Patients After Hospitalization.

Objectives: We identified factors associated with healthcare costs and health-related quality of life (HRQoL) of multimorbid older adults with polypharmacy. Methods: Using data from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid older people) trial, we described the magnitude and composition of healthcare costs, and time trends of HRQoL, during 1-year after an acute-care hospitalization. We performed a cluster analysis to identify groups with different cost and HRQoL trends. Using multilevel models, we also identified factors associated with costs and HRQoL. Results: Two months after hospitalization monthly mean costs peaked (CHF 7'124) and HRQoL was highest (0.67). They both decreased thereafter. Age, falls, and comorbidities were associated with higher 1-year costs. Being female and housebound were negatively associated with HRQoL, while moderate alcohol consumption had a positive association. Being independent in daily activities was associated with lower costs and higher HRQoL. Conclusion: Although only some identified potential influences on costs and HRQoL are modifiable, our observations support the importance of prevention before health deterioration in older people with multimorbid illness and associated polypharmacy.

Drug-drug interactions in nursing home residents: analysis from the COME-ON trial.

BACKGROUND: as a result of the high prevalence of polypharmacy in nursing homes (NHs), nursing home residents (NHRs) are exposed to numerous drug-drug interactions (DDIs) that can lead to adverse drug effects, and increased morbidity and mortality. OBJECTIVES: to evaluate (i) the prevalence of DDIs among NHRs and its evolution over time, and (ii) factors associated with a favourable evolution. DESIGN: posthoc analysis of the COME-ON study, a cluster-randomised controlled trial aiming at reducing potentially inappropriate prescriptions in NHs, through the implementation of a complex intervention. SETTING AND SUBJECTS: 901 NHRs from 54 Belgian NHs. METHODS: DDIs were identified using a validated list of 66 potentially clinically relevant DDIs in older adults. We defined a favourable evolution at 15 months as the resolution of at least one DDI present at baseline, without the introduction of any new DDI. Factors associated with a favourable evolution were analysed using multivariable logistic regression. RESULTS: at baseline, 475 NHRs (52.7%) were exposed to at least 1 DDI and 225 NHRs (25.0%) to more than one DDI. Most common DDI was 'Concomitant use of at least three central nervous system active drugs'. At 15 months, we observed a 6.3% absolute decrease in DDI prevalence in intervention group, and a 1.0% absolute increase in control group. The intervention, older age and private NH ownership were significantly associated with a favourable DDI evolution. CONCLUSION: a high prevalence of DDI in Belgian NHs was observed, but the COME-ON intervention was associated with a favourable evolution over time.

Association between diabetes overtreatment in older multimorbid patients and clinical outcomes: an ancillary European multicentre study.

BACKGROUND: Diabetes overtreatment is a frequent and severe issue in multimorbid older patients with type 2 diabetes (T2D). OBJECTIVE: This study aimed at assessing the association between diabetes overtreatment and 1-year functional decline, hospitalisation and mortality in older inpatients with multimorbidity and polypharmacy. METHODS: Ancillary study of the European multicentre OPERAM project on multimorbid patients aged ≥70 years with T2D and glucose-lowering treatment (GLT). Diabetes overtreatment was defined according to the 2019 Endocrine Society guideline using HbA1c target range individualised according to the patient's overall health status and the use of GLT with a high risk of hypoglycaemia. Multivariable regressions were used to assess the association between diabetes overtreatment and the three outcomes. RESULTS: Among the 490 patients with T2D on GLT (median age: 78 years; 38% female), 168 (34.3%) had diabetes overtreatment. In patients with diabetes overtreatment as compared with those not overtreated, there was no difference in functional decline (29.3% vs 38.0%, P = 0.088) nor hospitalisation rates (107.3 vs 125.8/100 p-y, P = 0.115) but there was a higher mortality rate (32.8 vs 21.4/100 p-y, P = 0.033). In multivariable analyses, diabetes overtreatment was not associated with functional decline nor hospitalisation (hazard ratio, HR [95%CI]: 0.80 [0.63; 1.02]) but was associated with a higher mortality rate (HR [95%CI]: 1.64 [1.06; 2.52]). CONCLUSIONS: Diabetes overtreatment was associated with a higher mortality rate but not with hospitalisation or functional decline. Interventional studies should be undertaken to test the effect of de-intensifying GLT on clinical outcomes in overtreated patients.

Detectability of Medication Errors With a STOPP/START-Based Medication Review in Older People Prior to a Potentially Preventable Drug-Related Hospital Admission.

INTRODUCTION: Multimorbidity and polypharmacy are risk factors for drug-related hospital admissions (DRAs) in the ageing population. DRAs caused by medication errors (MEs) are considered potentially preventable. The STOPP/START criteria were developed to detect potential MEs in older people. OBJECTIVE: The aim of this study was to assess the detectability of MEs with a STOPP/START-based in-hospital medication review in older people with polypharmacy and multimorbidity prior to a potentially preventable DRA. METHODS: Hospitalised older patients (n = 963) with polypharmacy and multimorbidity from the intervention arm of the OPERAM trial received a STOPP/START-based in-hospital medication review by a pharmacotherapy team. Readmissions within 1 year after the in-hospital medication review were adjudicated for drug-relatedness. A retrospective assessment was performed to determine whether MEs identified at the first DRA were detectable during the in-hospital medication review. RESULTS: In total, 84 of 963 OPERAM intervention patients (8.7%) were readmitted with a potentially preventable DRA, of which 72 patients (n = 77 MEs) were eligible for analysis. About half (48%, n = 37/77) of the MEs were not present during the in-hospital medication review and therefore were not detectable at that time. The pharmacotherapy team recommended a change in medication regimen in 50% (n = 20/40) of present MEs, which corresponds to 26% (n = 20/77) of the total identified MEs at readmission. However, these recommendations were not implemented. CONCLUSION: MEs identified at readmission were not addressed by a prior single in-hospital medication review because either these MEs occurred after the medication review (~50%), or no recommendation was given during the medication review (~25%), or the recommendation was not implemented (~25%). Future research should focus on optimisation of the timing and frequency of medication review and the implementation of proposed medication recommendations. REGISTRATION: ClinicalTrials.gov identifier: NCT02986425. December 8, 2016. FUNDING: European Union HORIZON 2020, Swiss State Secretariat for Education, Research and Innovation (SERI), Swiss National Science Foundation (SNSF).

Attitudes and beliefs of older adults and caregivers towards deprescribing in French-speaking countries: a multicenter cross-sectional study.

PURPOSE: Successful deprescribing requires understanding the attitudes of older adults and caregivers towards this process. This study aimed to capture these attitudes in four French-speaking countries and to investigate associated factors. METHODS: A multicenter cross-sectional study was conducted by administrating the French version of the revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire in Belgium, Canada, France, and Switzerland. Community-dwelling or nursing home older adults ≥ 65 years taking ≥ 1 prescribed medications and caregivers of older adults with similar characteristics were included. Multivariate logistic regressions were carried out to examine factors associated with willingness to deprescribe. RESULTS: A total of 367 older adults (79.3 ± 8.7 years, 63% community-dwelling, 54% ≥ 5 medications) and 255 unrelated caregivers (64.4 ± 12.6 years) of care recipients (83.4 ± 7.9 years, 52% community-dwelling, 69% ≥ 5 medications) answered the questionnaire. Among them, 87.5% older adults and 75.6% caregivers would be willing to stop medications if the physician said it was possible. Reluctance to stop a medication taken for a long time was expressed by 46% of both older adults and caregivers. A low score for the factor "concerns about stopping" (older adults: aOR: 0.21; 95% CI: 0.07-0.59), and a high score for the factor "involvement" (older adults: aOR: 2.66; 95% CI: 1.01-7.07; caregivers: aOR: 11.28; 95% CI: 1.48-85.91) were associated with willingness to deprescribe. CONCLUSIONS: A significant proportion of older adults and caregivers of French-speaking countries are open to deprescribing. Despite this apparent willingness, deprescribing conversations in clinical practice remains marginal, emphasizing the importance of optimizing the integration of existing tools such as rPATD.

Cost-effectiveness of a structured medication review approach for multimorbid older adults: Within-trial analysis of the OPERAM study.

BACKGROUND: Inappropriate polypharmacy has been linked with adverse outcomes in older, multimorbid adults. OPERAM is a European cluster-randomized trial aimed at testing the effect of a structured pharmacotherapy optimization intervention on preventable drug-related hospital admissions in multimorbid adults with polypharmacy aged 70 years or older. Clinical results of the trial showed a pattern of reduced drug-related hospital admissions, but without statistical significance. In this study we assessed the cost-effectiveness of the pharmacotherapy optimisation intervention. METHODS: We performed a pre-planned within-trial cost-effectiveness analysis (CEA) of the OPERAM intervention, from a healthcare system perspective. All data were collected within the trial apart from unit costs. QALYs were computed by applying the crosswalk German valuation algorithm to EQ-5D-5L-based quality of life data. Considering the clustered structure of the data and between-country heterogeneity, we applied Generalized Structural Equation Models (GSEMs) on a multiple imputed sample to estimate costs and QALYs. We also performed analyses by country and subgroup analyses by patient and morbidity characteristics. RESULTS: Trial-wide, the intervention was numerically dominant, with a potential cost-saving of CHF 3'588 (95% confidence interval (CI): -7'716; 540) and gain of 0.025 QALYs (CI: -0.002; 0.052) per patient. Robustness analyses confirmed the validity of the GSEM model. Subgroup analyses suggested stronger effects in people at higher risk. CONCLUSION: We observed a pattern towards dominance, potentially resulting from an accumulation of multiple small positive intervention effects. Our methodological approaches may inform other CEAs of multi-country, cluster-randomized trials facing presence of missing values and heterogeneity between centres/countries.

Predictors of 1-year drug-related admissions in older multimorbid hospitalized adults.

BACKGROUND: Identifying patients at high risk of drug-related hospital admission (DRA) may help to efficiently target preventive interventions. We developed a score to predict DRAs in older patients with multimorbidity and polypharmacy. METHODS: We used participants from the multicenter European OPERAM trial ("Optimising PharmacothERapy in the Mutlimorbid Elderly"). We assessed the association between easily identifiable predictors and 1-year DRAs by univariable logistic regression. Variables with p-value< 0.20 were taken forward to backward regression. We retained all variables with p < 0.05 in the model. We assessed the C-statistic, calibration (observed/predicted proportions), and overall accuracy (scaled Brier score, <0.25 indicating a useful model) of the score, and internally validated it by tenfold cross-validation. RESULTS: Within 1 year, 435/1879 (23.2%) patients (mean age 79.4 years) had a DRA. The score included seven variables: previous hospitalizations, non-elective admission, hypertension, cirrhosis with portal hypertension, chronic kidney disease, diuretic, oral corticosteroid. The C-statistic was 0.64 (95% CI 0.61-0.67). Patients with <1 point had a 12.4% predicted and observed risk of DRA, while those with >3 points had a 40.4% predicted and 38.9% observed risk of DRA. The scaled Brier score was 0.05. Calibration showed an adequate match between predicted and observed proportions. CONCLUSION: Comorbidities related to drug metabolism, specific medications, non-elective admission, and a history of hospitalization, were associated with a higher risk of DRA. Awareness of these associations and the score we developed may help identify patients most likely to benefit from preventive interventions.

Performance of a trigger tool for detecting drug-related hospital admissions in older people: analysis from the OPERAM trial.

BACKGROUND: identifying drug-related hospital admissions (DRAs) in older people is difficult. A standardised chart review procedure has recently been developed. It includes an adjudication team (physician and pharmacist) screening using 26 triggers and then performing causality assessment to determine whether an adverse drug event (ADE) occurred (secondary to an adverse drug reaction, overuse, misuse or underuse) and whether the ADE contributed to hospital admission (DRA). OBJECTIVE: to assess the performance of those triggers in detecting DRA. DESIGN: retrospective study using data from the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people) trial. SETTINGS: four European medical centres. SUBJECTS: multimorbid (≥ 3 chronic medical conditions) older (≥ 70 years) inpatients with polypharmacy (≥ 5 chronic medications) were enrolled in the OPERAM trial (N = 2,008) and followed for 12 months. We included patients with ≥1 adjudicated hospitalisation during the follow-up. METHODS: the positive predictive value (PPV; number of DRAs identified by trigger/number of triggers) was calculated for each trigger and for the tool as a whole. RESULTS: of 1,235 hospitalisations adjudicated for 832 patients, 716 (58%) had at least one trigger; an ADE was identified in 673 (54%) and 518 (42%) were adjudicated as DRAs. The overall PPV of the trigger tool for detecting DRAs was 0.66 [0.62-0.69]. CONCLUSIONS: this tool performs well for identifying DRAs in older people. Based on our results, a revised version of the tool was proposed but will require external validation before it can be incorporated into research and clinical practice.

Frequency and Acceptance of Clinical Decision Support System-Generated STOPP/START Signals for Hospitalised Older Patients with Polypharmacy and Multimorbidity.

BACKGROUND: The Screening Tool of Older Persons' Prescriptions (STOPP)/Screening Tool to Alert to Right Treatment (START) instrument is used to evaluate the appropriateness of medication in older people. STOPP/START criteria have been converted into software algorithms and implemented in a clinical decision support system (CDSS) to facilitate their use in clinical practice. OBJECTIVE: Our objective was to determine the frequency of CDSS-generated STOPP/START signals and their subsequent acceptance by a pharmacotherapy team in a hospital setting. DESIGN AND METHODS: Hospitalised older patients with polypharmacy and multimorbidity allocated to the intervention arm of the OPERAM (OPtimising thERapy to prevent Avoidable hospital admissions in the Multimorbid elderly) trial underwent a CDSS-assisted structured medication review in four European hospitals. We evaluated the frequency of CDSS-generated STOPP/START signals and the subsequent acceptance of these signals by a trained pharmacotherapy team consisting of a physician and pharmacist after evaluation of clinical applicability to the individual patient, prior to discussing pharmacotherapy optimisation recommendations with the patient and attending physicians. Multivariate linear regression analysis was used to investigate potential patient-related (e.g. age, number of co-morbidities and medications) and setting-related (e.g. ward type, country of inclusion) determinants for acceptance of STOPP and START signals. RESULTS: In 819/826 (99%) of the patients, at least one STOPP/START signal was generated using a set of 110 algorithms based on STOPP/START v2 criteria. Overall, 39% of the 5080 signals were accepted by the pharmacotherapy team. There was a high variability in the frequency and the subsequent acceptance of the individual STOPP/START criteria. The acceptance ranged from 2.5 to 75.8% for the top ten most frequently generated STOPP and START signals. The signal to stop a drug without a clinical indication was most frequently generated (28%), with more than half of the signals accepted (54%). No difference in mean acceptance of STOPP versus START signals was found. In multivariate analysis, most patient-related determinants did not predict acceptance, although the acceptance of START signals increased in patients with one or more hospital admissions (+ 7.9; 95% confidence interval [CI] 1.6-14.1) or one or more falls in the previous year (+ 7.1; 95% CI 0.7-13.4). A higher number of co-morbidities was associated with lower acceptance of STOPP (- 11.8%; 95% CI - 19.2 to - 4.5) and START (- 11.0%; 95% CI - 19.4 to - 2.6) signals for patients with more than nine and between seven and nine co-morbidities, respectively. For setting-related determinants, the acceptance differed significantly between the participating trial sites. Compared with Switzerland, the acceptance was higher in Ireland (STOPP: + 26.8%; 95% CI 16.8-36.7; START: + 31.1%; 95% CI 18.2-44.0) and in the Netherlands (STOPP: + 14.7%; 95% CI 7.8-21.7). Admission to a surgical ward was positively associated with acceptance of STOPP signals (+ 10.3%; 95% CI 3.8-16.8). CONCLUSION: The involvement of an expert team in translating population-based CDSS signals to individual patients is essential, as more than half of the signals for potential overuse, underuse, and misuse were not deemed clinically appropriate in a hospital setting. Patient-related potential determinants were poor predictors of acceptance. Future research investigating factors that affect patients' and physicians' agreement with medication changes recommended by expert teams may provide further insight for implementation in clinical practice. REGISTRATION: ClinicalTrials.gov Identifier: NCT02986425.

Prevalence of drug-drug interactions in older people before and after hospital admission: analysis from the OPERAM trial.

BACKGROUND: Drug-drug interactions (DDIs) are highly prevalent in older patients but little is known about prevalence of DDIs over time. Our main objective was to assess changes in the prevalence and characteristics of drug-drug interactions (DDIs) during a one-year period after hospital admission in older people, and associated risk factors. METHODS: We conducted a sub-study of the European OPERAM trial (OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people), which assessed the effects of a structured medication review (experimental arm) compared to usual care (control arm) on reducing drug-related hospital readmissions. All OPERAM patients (≥70 years, with multimorbidity and polypharmacy, hospitalized in four centers in Bern, Brussels, Cork and Utrecht between December 2016 and October 2018, followed over 1 year) who were alive at hospital discharge and had full medication data during the index hospitalization (at baseline i.e., enrolment at admission, and at discharge) were included. DDIs were assessed using an international consensus list of potentially clinically significant DDIs in older people. The point-prevalence of DDIs was evaluated at baseline, discharge, and at 2, 6 and 12 months after hospitalization. Logistic regression models were performed to assess independent variables associated with changes in DDIs 2 months after baseline. RESULTS: Of the 1950 patients (median age 79 years) included, 1045 (54%) had at least one potentially clinically significant DDI at baseline; point-prevalence rates were 58, 57, 56 and 57% at discharge, and 2, 6 and 12 months, respectively. The prevalence increased significantly from baseline to discharge (P < .001 [significant only in the control group]), then remained stable over time (P for trend .31). The five most common DDIs -all pharmacodynamic in nature- accounted for 80% of all DDIs and involved drugs that affect potassium concentrations, centrally-acting drugs and antithrombotics. At 2 months, DDIs had increased in 459 (27%) patients and decreased in 331 (19%). The main factor predictive of a change in the prevalence of DDIs was hyperpolypharmacy (≥10 medications). CONCLUSIONS: DDIs were very common; their prevalence increased during hospitalization and tended to remain stable thereafter. Medication review may help control this increase and minimize the risk of adverse drug events.

Optimizing Therapy to Prevent Avoidable Hospital Admissions in Multimorbid Older Adults (OPERAM): cluster randomised controlled trial.

OBJECTIVE: To examine the effect of optimising drug treatment on drug related hospital admissions in older adults with multimorbidity and polypharmacy admitted to hospital. DESIGN: Cluster randomised controlled trial. SETTING: 110 clusters of inpatient wards within university based hospitals in four European countries (Switzerland, Netherlands, Belgium, and Republic of Ireland) defined by attending hospital doctors. PARTICIPANTS: 2008 older adults (≥70 years) with multimorbidity (≥3 chronic conditions) and polypharmacy (≥5 drugs used long term). INTERVENTION: Clinical staff clusters were randomised to usual care or a structured pharmacotherapy optimisation intervention performed at the individual level jointly by a doctor and a pharmacist, with the support of a clinical decision software system deploying the screening tool of older person's prescriptions and screening tool to alert to the right treatment (STOPP/START) criteria to identify potentially inappropriate prescribing. MAIN OUTCOME MEASURE: Primary outcome was first drug related hospital admission within 12 months. RESULTS: 2008 older adults (median nine drugs) were randomised and enrolled in 54 intervention clusters (963 participants) and 56 control clusters (1045 participants) receiving usual care. In the intervention arm, 86.1% of participants (n=789) had inappropriate prescribing, with a mean of 2.75 (SD 2.24) STOPP/START recommendations for each participant. 62.2% (n=491) had ≥1 recommendation successfully implemented at two months, predominantly discontinuation of potentially inappropriate drugs. In the intervention group, 211 participants (21.9%) experienced a first drug related hospital admission compared with 234 (22.4%) in the control group. In the intention-to-treat analysis censored for death as competing event (n=375, 18.7%), the hazard ratio for first drug related hospital admission was 0.95 (95% confidence interval 0.77 to 1.17). In the per protocol analysis, the hazard ratio for a drug related hospital admission was 0.91 (0.69 to 1.19). The hazard ratio for first fall was 0.96 (0.79 to 1.15; 237 v 263 first falls) and for death was 0.90 (0.71 to 1.13; 172 v 203 deaths). CONCLUSIONS: Inappropriate prescribing was common in older adults with multimorbidity and polypharmacy admitted to hospital and was reduced through an intervention to optimise pharmacotherapy, but without effect on drug related hospital admissions. Additional efforts are needed to identify pharmacotherapy optimisation interventions that reduce inappropriate prescribing and improve patient outcomes. TRIAL REGISTRATION: ClinicalTrials.gov NCT02986425.

Trends in benzodiazepine receptor agonists use and associated factors in the Belgian general older population: analysis of the Belgian health interview survey data.

BACKGROUND: Benzodiazepine receptor agonists (BZRA), which include benzodiazepines and z-drugs, are commonly prescribed for insomnia and anxiety in older adults, and used often long term. Yet, the risk-benefit ratio of BZRA use in older adults may be unfavorable and many recommendations suggest avoidance or a maximal treatment duration of 4 weeks. The aim of this study was to describe trends of BZRA use in older adults and associated factors. METHODS: Using data from the Belgian Health Interview Survey in 2004 (n = 3594), 2008 (n = 2917), and 2013 (n = 2048), prevalence standardized for age, sex, and region were calculated to assess trends of BZRA use in people ⩾65 years. Analysis of associated factors to BZRA use was performed using a sub-sample of 2013 data for which variables assessing sleeping disorder and anxiety disorder were not missing (n = 1286). Variables from seven main topics were explored using multivariate logistic regression: socio-demographic factors, geriatric factors, comorbidities, subjective health and mental health indicators, social health indicators, medication use and healthcare services use. RESULTS: Overall, standardized prevalence of BZRA use decreased significantly between 2004 and 2013 [22% to 18%, prevalence difference (95% confidence interval, CI): -4.0% (-6.8; -1.3)]. Factors associated with BZRA use in multivariable analysis included female gender [adjusted odds ratio (aOR) (95%CI) : 1.62 (1.14; 2.29)], poor mental health [aOR (95%CI): 1.73 (1.13-2.63)] a fall in the past 12 months [aOR (95%CI): 1.52 (1.02; 2.26), reporting a sleeping disorder [aOR (95%CI): 1.92 (1.35; 2.72)], polypharmacy [aOR (95%CI): 2.51 (1.75; 3.60)], and trazodone use [aOR (95%CI): 4.05 (1.64; 10.21)]. CONCLUSION: Despite an encouraging decline observed from 2004 to 2013, BZRA use remained highly prevalent in Belgian older adults. Promotion of alternatives to BZRA in treatment of sleeping problems need to be continued. Among BZRA older users, women, the oldest (⩾85 years) and high-risk subgroups should be targeted in deprescribing interventions.

Interventions to optimize medication use in nursing homes: a narrative review.

PURPOSE: Polypharmacy, medication errors and adverse drug events are frequent among nursing home residents. Errors can occur at any step of the medication use process. We aimed to review interventions aiming at optimization of any step of medication use in nursing homes. METHODS: We narratively reviewed quantitative as well as qualitative studies, observational and experimental studies that described interventions, their effects as well as barriers and enablers to implementation. We prioritized recent studies with relevant findings for the European setting. RESULTS: Many interventions led to improvements in medication use. However, because of outcome heterogeneity, comparison between interventions was difficult. Prescribing was the most studied aspect of medication use. At the micro-level, medication review, multidisciplinary work, and more recently, patient-centered care components dominated. At the macro-level, guidelines and legislation, mainly for specific medication classes (e.g., antipsychotics) were employed. Utilization of technology also helped improve medication administration. Several barriers and enablers were reported, at individual, organizational, and system levels. CONCLUSION: Overall, existing interventions are effective in optimizing medication use. However there is a need for further European well-designed and large-scale evaluations of under-researched intervention components (e.g., health information technology, patient-centered approaches), specific medication classes (e.g., antithrombotic agents), and interventions targeting medication use aspects other than prescribing (e.g., monitoring). Further development and uptake of core outcome sets is required. Finally, qualitative studies on barriers and enablers for intervention implementation would enable theory-driven intervention design.

Benzodiazepine Use and Deprescribing in Belgian Nursing Homes: Results from the COME-ON Study.

BACKGROUND/OBJECTIVES: To describe the use and deprescribing of benzodiazepine receptor agonists (BZRAs) among nursing home residents (NHRs), to evaluate appropriateness of use and to identify factors associated with BZRA use and deprescribing. DESIGN: Posthoc analysis of the Collaborative Approach to Optimize Medication Use for Older People in Nursing Homes (COME-ON) study, a cluster controlled trial that evaluated the impact of a complex intervention on potentially inappropriate prescriptions (PIPs) in nursing homes (NHs). SETTING: A total of 54 NHs in Belgium. PARTICIPANTS: A total of 797 NHRs included in the study who had complete medical, clinical, and medication information at baseline and at the end of the study (month 15). MEASUREMENTS: Data were recorded by participating healthcare professionals. Reasons why BZRA use was considered as PIPs were assessed using the 2019 American Geriatrics Society Beers Criteria® and the Screening Tool of Older Persons' Prescriptions (STOPP) criteria, version 2. Deprescribing included complete cessation or decreased daily dose. We identified factors at the NHR, prescriber, and NH levels associated with BZRA use and BZRA deprescribing using multivariable binary and multinomial logistic regression, respectively. RESULTS: At baseline, 418 (52.4%) NHRs were taking a BZRA. The use of BZRA for longer than 4 weeks, with two or more other central nervous system active drugs, and in patients with delirium, cognitive impairment, falls, or fractures was found in more than 67% of BZRA users. Eight NHR-related variables and two prescriber-related variables were associated with regular BZRA use. Deprescribing occurred in 28.1% of BZRA users (32.9% in the intervention group and 22.1% in the control group). In addition to four other factors, dementia (odds ratio [OR] = 2.35; 95% confidence interval [CI] = [1.45-3.83]) and intervention group (OR = 1.74; 95% CI = 1.07-2.87) were associated with deprescribing. CONCLUSION: Use of BZRAs was highly prevalent, and reasons to consider it as PIP were frequent. Deprescribing occurred in one-fourth of NHRs, which is encouraging. Future interventions should focus on specific aspects of PIPs (ie, indication, duration, drug-drug and drug-disease interactions) as well as on nondementia patients.

Intervention protocol: OPtimising thERapy to prevent avoidable hospital Admission in the Multi-morbid elderly (OPERAM): a structured medication review with support of a computerised decision support system.

BACKGROUND: Several approaches to medication optimisation by identifying drug-related problems in older people have been described. Although some interventions have shown reductions in drug-related problems (DRPs), evidence supporting the effectiveness of medication reviews on clinical and economic outcomes is lacking. Application of the STOPP/START (version 2) explicit screening tool for inappropriate prescribing has decreased inappropriate prescribing and significantly reduced adverse drug reactions (ADRs) and associated healthcare costs in older patients with multi-morbidity and polypharmacy. Therefore, application of STOPP/START criteria during a medication review is likely to be beneficial. Incorporation of explicit screening tools into clinical decision support systems (CDSS) has gained traction as a means to improve both quality and efficiency in the rather time-consuming medication review process. Although CDSS can generate more potential inappropriate medication recommendations, some of these have been shown to be less clinically relevant, resulting in alert fatigue. Moreover, explicit tools such as STOPP/START do not cover all relevant DRPs on an individual patient level. The OPERAM study aims to assess the impact of a structured drug review on the quality of pharmacotherapy in older people with multi-morbidity and polypharmacy. The aim of this paper is to describe the structured, multi-component intervention of the OPERAM trial and compare it with the approach in the comparator arm. METHOD: This paper describes a multi-component intervention, integrating interventions that have demonstrated effectiveness in defining DRPs. The intervention involves a structured history-taking of medication (SHiM), a medication review according to the systemic tool to reduce inappropriate prescribing (STRIP) method, assisted by a clinical decision support system (STRIP Assistant, STRIPA) with integrated STOPP/START criteria (version 2), followed by shared decision-making with both patient and attending physician. The developed method integrates patient input, patient data, involvement from other healthcare professionals and CDSS-assistance into one structured intervention. DISCUSSION: The clinical and economical effectiveness of this experimental intervention will be evaluated in a cohort of hospitalised, older patients with multi-morbidity and polypharmacy in the multicentre, randomized controlled OPERAM trial (OPtimising thERapy to prevent Avoidable hospital admissions in the Multi-morbid elderly), which will be completed in the last quarter of 2019. TRIAL REGISTRATION: Universal Trial Number: U1111-1181-9400 Clinicaltrials.gov: NCT02986425, Registered 08 December 2016. FOPH (Swiss national portal): SNCTP000002183. Netherlands Trial Register: NTR6012 (07-10-2016).

Rationale and design of OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people (OPERAM): a cluster randomised controlled trial.

INTRODUCTION: Multimorbidity and polypharmacy are important risk factors for drug-related hospital admissions (DRAs). DRAs are often linked to prescribing problems (overprescribing and underprescribing), as well as non-adherence with drug regimens for different reasons. In this trial, we aim to assess whether a structured medication review compared with standard care can reduce DRAs in multimorbid older patients with polypharmacy. METHODS AND ANALYSIS: OPtimising thERapy to prevent Avoidable hospital admissions in Multimorbid older people is a European multicentre, cluster randomised, controlled trial. Hospitalised patients ≥70 years with ≥3 chronic medical conditions and concurrent use of ≥5 chronic medications are included in the four participating study centres of Bern (Switzerland), Utrecht (The Netherlands), Brussels (Belgium) and Cork (Ireland). Patients treated by the same prescribing physician constitute a cluster, and clusters are randomised 1:1 to either standard care or Systematic Tool to Reduce Inappropriate Prescribing (STRIP) intervention with the help of a clinical decision support system, the STRIP Assistant. STRIP is a structured method performing customised medication reviews, based on Screening Tool of Older People's Prescriptions/Screening Tool to Alert to Right Treatment criteria to detect potentially inappropriate prescribing. The primary endpoint is any DRA where the main reason or a contributory reason for the patient's admission is caused by overtreatment or undertreatment, and/or inappropriate treatment. Secondary endpoints include number of any hospitalisations, all-cause mortality, number of falls, quality of life, degree of polypharmacy, activities of daily living, patient's drug compliance, the number of significant drug-drug interactions, drug overuse and underuse and potentially inappropriate medication. ETHICS AND DISSEMINATION: The local Ethics Committees in Switzerland, Ireland, The Netherlands and Belgium approved this trial protocol. We will publish the results of this trial in a peer-reviewed journal. MAIN FUNDING: European Union's Horizon 2020 programme. TRIAL REGISTRATION NUMBER: NCT02986425 , SNCTP000002183 , NTR6012, U1111-1181-9400.