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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. [ABSTRACT FROM AUTHOR]

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. 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. 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. [ABSTRACT FROM AUTHOR]

This article discusses the problem of overprescribing medications to older adults and the lack of routine deprescribing practices. Deprescribing is a complex process that requires behavior change from healthcare professionals. The article emphasizes the need for interventions that address all key determinants of deprescribing and suggests using logic models to visually depict interventions and their effects. It also highlights the importance of understanding the context in which behavior change interventions are implemented and evaluating fidelity and outcomes. The article concludes by calling for consistency and adherence to a defined pathway for developing and evaluating complex interventions. [Extracted from the article]

Deprescribing is the process of stopping medication that may no longer be necessary or is causing harm. There has been a significant amount of research on deprescribing in the past decade, covering topics such as deprescribing rates, barriers and facilitators, and interventions. A group of deprescribing experts compiled a list of ten articles that provide a diverse overview of the field for newcomers. The articles cover critical concepts, high-level overviews, major trials, the complexity of deprescribing, and knowledge synthesis in deprescribing. While the list is not exhaustive, it serves as a starting point for those interested in learning about deprescribing. [Extracted from the article]

Aims: The Care Home Independent Pharmacist Prescriber Study (CHIPPS) process evaluation hypothesized that contextual factors influenced the likelihood of deprescribing by pharmacist-independent prescribers. The aim of this paper is to test this hypothesis. Methods: From CHIPPS study data, medications deprescribed totalled 284 for 370 residents in UK care homes. Regression analysis was used to describe the relationship between the number of medicines stopped and contextual factors (number of residents cared for, pharmacist employment within associated medical practice, previous care home experience, hours active within trial, years’ experience as a pharmacist and as a prescriber). Results: Number of residents and pharmacist-independent prescriber employment within a medical practice were positive predictors of deprescribing. Conclusion: Previous experiences were not related to deprescribing likelihood. Increasing the number of residents increases the opportunity for deprescribing and therefore this relationship is intuitive. The location within a medical practice is an interesting finding that requires further exploration to understand its exact nature. [ABSTRACT FROM AUTHOR]

Background Half of older people are prescribed unnecessary/inappropriate medications that are not routinely deprescribed in hospital hence there is a need for deprescribing trials. We aimed to develop a Core Outcome Set (COS) for deprescribing trials for older people under the care of a geriatrician during hospital admission. Methods We developed a list of potentially relevant outcomes from the literature. Using a two-round Delphi survey of stakeholder groups representing older people and carers, hospital clinicians, hospital managers, and ageing/deprescribing researchers, each outcome was scored according to Grading of Recommendations Assessment, Development and Evaluation, followed by two consensus workshops to finalise the COS. Results Two hundred people completed Round 1 and 114 completed Round 2. Representing all stakeholder groups, 10 people participated in workshop 1 and 10 in workshop 2. Six outcomes were identified as most important, feasible and acceptable to collect in a trial: number of prescribed medicines stopped; number of prescribed medicines with dosage reduced; quality of life; mortality; adverse drug events and number of hospital stays. Three other outcomes were identified as important, but currently too burdensome to collect: number of potentially inappropriate medicines prescribed; burden from medication routine; and medication-related admissions to hospital. Conclusions A COS represents the minimum outcomes that should be collected and reported. Whilst uncommon practice for COS development, the value of considering outcome collection feasibility is demonstrated by the removal of three potential outcomes that, if included, may have compromised COS uptake due to challenges with collecting the data. [ABSTRACT FROM AUTHOR]

The English National Overprescribing Review identified that older people often take eight or more medicines a day. The report recommended pharmacists in primary care should take responsibility for addressing polypharmacy. Overprescribing is a safety concern in care homes as approximately half of older care home residents are prescribed at least one medicine that is unnecessary or now harmful. This predisposes them to adverse outcomes including hospitalisation and mortality. Deprescribing is the planned activity of stopping or reducing a medicine that may no longer be appropriate. Deprescribing, when performed by a pharmacist, is a multidisciplinary activity requiring close communication with general practitioners (GPs) and care home staff. A recently completed trial that integrated pharmacists with prescribing rights into older peoples' care homes found significant variation in proactive deprescribing activity. The aim of the current study was to specifically explore beliefs and practices of deprescribing in care homes. A qualitative approach was adopted to examine individual, social and contextual factors that acted as enablers and barriers to pharmacist deprescribing in care homes. Semi‐structured interviews were conducted with participants of the previous study (16 pharmacists, 6 GPs and 7 care home staff from Northern Ireland, Scotland and England). Using thematic analysis, we identified two themes: (a) Structures and systems affecting deprescribing, that is the context in which deprescribing happened, including team involvement and routine practices in GP surgeries and care homes; (b) Balancing risks when deprescribing, that is the perception of individual risk and social barriers were mitigated by understanding the medical background of residents. This supported the clinical understanding that risks from overprescribing were greater than risks from deprescribing. While deprescribing can involve all health professionals in the primary care team, these results suggest the pharmacist is well placed to lead the process; by having both clinical competence and professional willingness to drive this activity forward. [ABSTRACT FROM AUTHOR]

Background hospital deprescribing trials have demonstrated marginal increases in deprescribing activity that are not sustained beyond the trial period. The hospital deprescribing implementation framework (hDIF) links barriers and enablers of deprescribing in hospital with 44 potential intervention components. This study aimed to support geriatricians and pharmacists to select and characterise hDIF components according to affordability, practicability, effectiveness, acceptability, safety and equity (APEASE) to design a deprescribing intervention in the English hospital setting. Methods we convened a modified Nominal Group Technique with a panel of nine geriatricians and pharmacists representing five English hospitals. Panel members selected and characterised intervention components from the hDIF based on the APEASE criteria. We set a consensus threshold of 80% agreement per APEASE criterion in order for the intervention component to be included. Results the panel selected five intervention components supporting engagement with deprescribing: an organisational action plan to prioritise deprescribing, two training activities to address pharmacists' beliefs about negative deprescribing consequences, restructuring pharmacists' working patterns to facilitate their contribution to deprescribing decisions, and sharing experiences of successfully engaging patients/family in deprescribing conversations to support others to do the same. A sixth component was selected to sustain engagement with deprescribing through measuring and sharing deprescribing activity achieved between teams. Conclusions deprescribing interventions targeting geriatricians' and pharmacists' behaviour in the English hospital context should include the six characterised components. A component to sustain deprescribing activity is a notable omission from previously reported deprescribing interventions and may explain their failure to maintain efficacy beyond the short-term trial period. [ABSTRACT FROM AUTHOR]

Background Deprescribing medication may be in response to an adverse clinical trigger (reactive) or if future gains are unlikely to outweigh future harms (proactive). A hospital admission may present an opportunity for deprescribing, however current practice is poorly understood. Objective To quantify and describe the nature of deprescribing in a UK teaching hospital. Method Prescribing and discontinuation data for admission medication from a hospital's electronic prescribing system were extracted over 4 weeks. The rationale for discontinuation of a random sample of 200 was determined using medical records. This informed categorisation of deprescribing activity by clinicians into 'proactive' or 'reactive'. Data were extrapolated to estimate the proportion of admission medications deprescribed and the proportion which were reactive and proactive. Results From 24,552 admission medicines, 977 discontinuations were recorded. Of the 200 discontinuations sampled for review, only 44 (22.0%) were confirmed deprescribing activities; categorised into 7 (15.9%) proactive and 37 (84.1%) reactive. Extrapolation yielded 0.6% (95% CI 0.5-0.7%) of all admission medications deprescribed. Conclusion Limited deprescribing activity, dominated by reactive behaviour was identified, suggesting prescribers require a clinical trigger to prompt deprescribing. There may be scope for increasing proactive deprescribing in hospital, however the extent to which this is feasible is unknown. [ABSTRACT FROM AUTHOR]