Patient Perceptions of Deprescribing: Survey Development and Psychometric Assessment

Deprescribing electronic case reviews for older veterans at risk for falls: Effects on drug burden and falls

BACKGROUND

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.

METHODS

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.

RESULTS

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).

CONCLUSIONS

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.

Patient-Reported Barriers and Enablers to Deprescribing Recommendations During a Clinical Trial (Shed-MEDS)

BACKGROUND AND OBJECTIVES

Effective deprescribing requires shared decision making between a patient and their clinician, and should be used when implementing evidence-based deprescribing conversations. As part of the Shed-MEDS clinical trial, this study assessed barriers and enablers that influence patient decision making in deprescribing to inform future implementation efforts and adaptations.

RESEARCH DESIGN AND METHODS

Shed-MEDS, a randomized controlled deprescribing trial, included hospitalized older adults discharging to post-acute care facilities. A trained clinician reviewed each participant's medical history and medication list to identify medications with potential for deprescribing. The study clinician then conducted a semistructured patient-centered deprescribing interview to determine patient (or surrogate) concerns about medications and willingness to deprescribe. Reeve et al.'s (2013) framework was used to categorize barriers and enablers to deprescribing from the patient's perspective, including "appropriateness of cessation," "fear," "dislike of a medication," "influences," and "process of cessation."

RESULTS

Overall, participants/surrogates (N = 177) agreed with 63% (883 total medications) of the study clinician's deprescribing recommendations. Thematic analysis revealed that "appropriateness" of a medication was the most common barrier (88.2%) and enabler (67.3%) to deprescribing. Other deprescribing enablers were in the following domains: "influences" (22.7%), "process" (22.5%), "pragmatic" (19.4%), and "dislike" (5.3%).

DISCUSSION AND IMPLICATIONS

Use of a semistructured deprescribing interview conversation tool allowed study clinicians to elicit individual barriers and enablers to deprescribing from the patient's perspective. Participants in this study expressed more agreement than disagreement with study clinicians' deprescribing recommendations. These results should inform future implementation efforts that incorporate a patient-centered framework during deprescribing conversations.

CLINICAL TRIALS REGISTRATION NUMBER

NCT02979353.

Translation, cross-cultural adaptation and validation of the revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire to Portuguese: Older adults version

BACKGROUND

Deprescribing is a patient-centered approach to managing inappropriate polypharmacy that faces several barriers, including patients' attitudes and beliefs about medications that need to be considered. For this purpose, the revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire is a helpful instrument, but until now, there is no Portuguese version.

OBJECTIVES

To translate and validate the rPATD questionnaire (older adults version) to Portuguese.

METHODS

The rPATD questionnaire was translated and cross-culturally adapted using forward-backward translation and pre-testing. A cross-sectional study with 192 older adults aged ≥65 years taking at least 1 regular medication was conducted for validity assessment. Participants were recruited by convenience sampling in 3 Portuguese outpatient rehabilitation medicine clinics. Psychometric properties were evaluated through face and content validity; construct validity, by assessing structural validity through exploratory factor analysis, hypotheses testing, including concurrent validity and cross cultural validity; reliability with internal consistency; and item-total correlation. Floor and ceiling effects were examined.

RESULTS

The exploratory factor analysis (EFA) revealed a 4-factor structure that explains 51.08% of the total variance, as in the original rPATD. These 4 factors are related to the level of involvement in medication management, beliefs in the appropriateness of medication, perceived burden of medication, and concerns about stopping medications. Factor loadings ranged from 0.226 to 0.800; 2 items scored <0.3, and no cross-loading was found. The exclusion of the 2 items loading <0.3 in the EFA showed no significant improvement in factor loading or internal consistency, so the item structure was maintained. In hypothesis testing, 78% of the correlations were correctly predicted. The 4 factors internal consistency was generally acceptable, with Cronbach's alpha ranging from 0.638 to 0.830. The item-total correlation ranged between 0.223 and 0.7.

CONCLUSION

The Portuguese rPATD questionnaire for older adults presents globally good or acceptable psychometric properties.

Cross-cultural adaptation and psychometric validation of a Spanish version of the revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire

OBJECTIVES

Successful deprescribing depends largely on factors related to the patient. The revised Patients' Attitudes Towards Deprescribing (rPATD) questionnaire was developed with the objective of evaluating the beliefs and attitudes of older adults and caregivers towards deprescribing. The present study was designed to validate a Spanish version of the rPATD questionnaire, both the versions for older adults and for caregivers, through a qualitative validation phase and the analysis of its psychometric properties.

DESIGN

Cross-sectional validation study.

SETTING

Primary care settings in Málaga (Spain).

PARTICIPANTS

A sample of 120 subjects (60 patients with polypharmacy and 60 caregivers of patients with polypharmacy) were enrolled in the study.

MAIN OUTCOME MEASURES

In the qualitative validation stage, the rPATD questionnaire was translated/back-translated and subjected to a cross-cultural adaptation to evaluate its face validity and feasibility. Next, its psychometric properties were assessed. Confirmatory factor analysis was used to evaluate construct validity. Internal consistency was determined using Cronbach's alpha test. Criterion validity through pre-established hypotheses from the Beliefs about Medicines Questionnaire (BMQ) Specific-Concerns Scale, and test-retest reliability were analysed.

RESULTS

Confirmatory factor analysis verified the four-factor structure of the original rPATD questionnaire, with items loading into four factors: involvement, burden, appropriateness and concerns about stopping. The Cronbach's alpha coefficient of the factors ranged from 0.683 to 0.879. The burden, appropriateness and concerns about stopping factors were significantly correlated with the BMQ Specific-Concerns Score, except for the concerns about stopping factor in the older adults' version. The consistency of the items between administration times (test-retest reliability) showed weighted Cohen's kappa values ranging from moderate (>0.4) to very good (>0.8).

CONCLUSIONS

The Spanish version of the rPATD questionnaire is a feasible, valid and reliable instrument to evaluate attitudes towards deprescribing in Spanish-speaking patients and caregivers.

How Willing Are Patients or Their Caregivers to Deprescribe: a Systematic Review and Meta-analysis

BACKGROUND

Polypharmacy is associated with the increased use of potentially inappropriate medications, where the risks of medicine use outweigh its benefits. Stopping medicines (deprescribing) that are no longer needed can be beneficial to reduce the risk of adverse events. We summarized the willingness of patients and their caregivers towards deprescribing.

METHODS

A systematic search was conducted in four databases from inception until April 30, 2021 as well as search of citation of included articles. Studies that reported patients' and/or their caregivers' attitude towards deprescribing quantitatively were included. All studies were independently screened, reviewed, and data extracted in duplicates. Patients and caregivers willingness to deprescribe their regular medication was pooled using random effects meta-analysis of proportions.

RESULTS

Twenty-nine unique studies involving 11,049 participants were included. All studies focused on the attitude of the patients towards deprescribing, and 7 studies included caregivers' perspective. Overall, 87.6% (95% CI: 83.3 to 91.4%) patients were willing to deprescribe their medication, based upon the doctors' suggestions. This was lower among caregivers, with only 74.8% (49.8% to 93.8%) willing to deprescribe their care recipients' medications. Patients' or caregivers' willingness to deprescribe were not influenced by study location, study population, or the number of medications they took.

DISCUSSION

Most patients and their caregivers were willing to deprescribe their medications, whenever possible and thus should be offered a trial of deprescribing. Nevertheless, as these tools have a poor predictive ability, patients and their caregivers should be engaged during the deprescribing process to ensure that the values and opinions are heard, which would ultimately improve patient safety. In terms of limitation, as not all studies may published the methods and results of measurement they used, this may impact the methodological quality and thus our findings. OPEN SCIENCE FRAMEWORK REGISTRATION: https:// osf.io/fhg94.

Non-random relations in drug use expressed as patterns comprising prescription and over-the-counter drugs in multimorbid elderly patients in primary care: Data of the exploratory analysis of the multicentre, observational cohort study MultiCare

Background

The elderly population deals with multimorbidity (three chronic conditions) and increasinged drug use with age. A comprehensive characterisation of the medication – including prescription and over-the-counter (OTC) drugs – of elderly patients in primary care is still insufficient.

Objectives

This study aims to characterise the medication (prescription and OTC) of multimorbid elderly patients in primary care and living at home by identifying drug patterns to evaluate the relationship between drugs and drug groups and reveal associations with recently published multimorbidity clusters of the same cohort.

Methods

MultiCare was a multicentre, prospective, observational cohort study of 3189 multimorbid patients aged 65 to 85 years in primary care in Germany. Patients and general practitioners were interviewed between 2008 and 2009. Drug patterns were identified using exploratory factor analysis. The relations between the drug patterns with the three multimorbidity clusters were analysed with Spearman-Rank-Correlation.

Results

Patients (59.3% female) used in mean 7.7 drugs; in total 24,535 drugs (23.7% OTC) were detected. Five drug patterns for men (drugs for obstructive pulmonary diseases (D-OPD), drugs for coronary heart diseases and hypertension (D-CHD), drugs for osteoporosis (D-Osteo), drugs for heart failure and drugs for pain) and four drug patterns for women (D-Osteo, D-CHD, D-OPD and drugs for diuretics and gout) were detected. Significant associations between multimorbidity clusters and drug patterns were detectable (D-CHD and CMD: male: ρ = 0.376, CI 0.322–0.430; female: ρ = 0.301, CI 0.624–0.340).

Conclusion

The drug patterns demonstrate non-random relations in drug use in multimorbid elderly patients and systematic associations between drug patterns and multimorbidity clusters were found in primary care.

The Patient Perceptions of Deprescribing (PPoD) Survey: Short-Form Development

INTRODUCTION

Deprescribing, the intentional reduction of medication, is recognized as an important component of clinical care; however, standardized identification of patient attitudes and beliefs that contribute to deprescribing may be limited due to the length of current surveys. We sought to develop a short-form (≤ 15 items) of the patient perceptions of deprescribing (PPoD) questionnaire, a validated 30-item instrument that assesses dimensions relevant to deprescribing, to be used in clinical and research settings.

METHODS

We conducted a secondary analysis of data from 803 US veteran respondents to the original PPoD survey, randomly divided into derivation and validation samples. In the derivation sample, we used ordinary least squares linear regression with R² model selection to identify candidate items reflective of overall readiness for deprescribing. We then used iterative multitrait analysis, followed by confirmatory factor analysis (CFA) in the validation sample to assess the psychometric properties of the proposed short form.

RESULTS

The resulting short-form PPoD consisted of 11 items representing two overarching domains reflective of overall readiness for deprescribing: 'Motivation for Deprescribing' and 'Primary Care Provider Relationship'. CFA fit statistics supported the proposed structure and the two new scales demonstrated high internal consistency reliability (Cronbach alphas: 0.82 and 0.91, respectively) and good discriminant validity (interscale correlation - 0.30).

DISCUSSION

The proposed short-form PPoD captures two important sources of variance in patient readiness for deprescribing: motivation and patients' relationships with their primary care providers. This brief, 11-item survey may help foster the inclusion of patient perceptions into clinical decision making for deprescribing to yield safer, more appropriate medication use.

Health-related preferences of older patients with multimorbidity: an evidence map

OBJECTIVES

To systematically identify knowledge clusters and research gaps in the health-related preferences of older patients with multimorbidity by mapping current evidence.

DESIGN

Evidence map (systematic review variant).

DATA SOURCES

MEDLINE, EMBASE, PsycINFO, PSYNDEX, CINAHL and Science Citation Index/Social Science Citation Index/-Expanded from inception to April 2018.

STUDY SELECTION

Studies reporting primary research on health-related preferences of older patients (mean age ≥60 years) with multimorbidity (≥2 chronic/acute conditions).

DATA EXTRACTION

Two independent reviewers assessed studies for eligibility, extracted data and clustered the studies using MAXQDA-18 content analysis software.

RESULTS

The 152 included studies (62% from North America, 28% from Europe) comprised 57 093 patients overall (range 9-9105). All used an observational design except for one interventional study: 63 (41%) were qualitative (59 cross-sectional, 4 longitudinal), 85 (57%) quantitative (63 cross-sectional, 22 longitudinal) and 3 (2%) used mixed methods. The setting was specialised care in 85 (56%) and primary care in 54 (36%) studies. We identified seven clusters of studies on preferences: end-of-life care (n=51, 34%), self-management (n=34, 22%), treatment (n=32, 21%), involvement in shared decision making (n=25, 17%), health outcome prioritisation/goal setting (n=19, 13%), healthcare service (n=12, 8%) and screening/diagnostic testing (n=1, 1%). Terminology (eg, preferences, views and perspectives) and concepts (eg, trade-offs, decision regret, goal setting) used to describe health-related preferences varied substantially between studies.

CONCLUSION

Our study provides the first evidence map on the preferences of older patients with multimorbidity. Included studies were mostly conducted in developed countries and covered a broad range of issues. Evidence on patient preferences concerning decision-making on screening and diagnostic testing was scarce. Differences in employed terminology, decision-making components and concepts, as well as the sparsity of intervention studies, are challenges for future research into evidence-based decision support seeking to elicit the preferences of older patients with multimorbidity and help them construct preferences.

TRIAL REGISTRATION NUMBER

Open Science Framework (OSF): DOI 10.17605/OSF.IO/MCRWQ.

A collaborative intervention for deprescribing: The role of stakeholder and patient engagement

BACKGROUND

At a recent World Café Workshop on future deprescribing priorities, Canadian researchers identified that, in addition to implementation evaluation and economic analyses, high quality clinical trials require meaningful patient engagement.

OBJECTIVES

The aim was to develop a deprescribing intervention for collaborative primary healthcare clinics and long-term care facilities that have pharmacists integrated in these settings. This manuscript aims to provide a summary of the experience with engaging patients in the development of the deprescribing framework.

METHODS

Sixteen members of the research team met with six patient representatives (identified by the Maritime SPOR SUPPORT Unit) in a facilitated meeting. The event provided a welcoming environment for all participants; discussion groups ensured a mix of clinical, research and patient voice; and facilitators focused on engaging all voices equally. Initial discussions were structured around four topics: 1) identifying and prioritizing potentially inappropriate medications to reduce or stop; 2) identifying patients appropriate for deprescribing; 3) effectively communicating deprescribing with both patients and prescribers; and 4) measuring satisfaction with the framework. Subsequent discussions used group input to draft an intervention. After the event, participants engaged via e-mail, to refine the proposed intervention.

RESULTS

The facilitated meeting provided helpful insight into patients' interests and changed the shape of the project. For example, patient representatives felt that an age restriction of 65 years of age or older was unfair, as deprescribing may help people younger than 65 years of age. Patient representatives also felt it was crucial to have resources to offer with non-pharmacologic information to increase success of deprescribing. This led to the deprescribing intervention becoming a framework for pharmacist-led deprescribing and a toolbox of supportive patient and healthcare professional resources.

CONCLUSIONS

Overall, this process allowed for successful and meaningful patient engagement that aligned well with priorities for deprescribing clinical trials.

Improving care for elderly patients living with polypharmacy: protocol for a pragmatic cluster randomized trial in community-based primary care practices in Canada

BACKGROUND

Elders living with polypharmacy may be taking medications that do not benefit them. Polypharmacy can be associated with elevated risks of poor health, reduced quality of life, high care costs, and persistently complex care needs. While many medications could be problematic, this project targets medications that should be deprescribed for most elders and for which guidelines and evidence-based deprescribing tools are available. These are termed potentially inappropriate prescriptions (PIPs) and are as follows: proton pump inhibitors, benzodiazepines, antipsychotics, and sulfonylureas. Implementation strategies for deprescribing PIPs in complex older patient populations are needed.

METHODS

This will be a pragmatic cluster randomized controlled trial in community-based primary care practices across Canada. Eligible practices provide comprehensive primary care and have at least one physician that consents to participate. Community-dwelling patients aged 65 years and older with ten or more unique medication prescriptions in the past year will be included. The objective is to assess whether the intervention reduces targeted PIPs for these patients compared with usual care. The intervention, Structured Process Informed by Data, Evidence and Research (SPIDER), is a collaboration between quality improvement (QI) and research programs. Primary care teams will form interprofessional Learning Collaboratives and work with QI coaches to review electronic medical record data provided by their regional Practice Based Research Networks (PBRNs), identify areas of improvement, and develop and implement changes. The study will be tested for feasibility in three PBRNs (Toronto, Montreal, and Edmonton) using prospective single-arm mixed methods. Findings will then guide a pragmatic cluster randomized controlled trial in five PBRNs (Calgary, Winnipeg, Ottawa, Montreal, and Halifax). Seven practices per PBRN will be recruited for each arm. The analysis will be by intention to treat. Ten percent of patients who have at least one PIP at baseline will be randomly selected to participate in the assessment of patient experience and self-reported outcomes. Qualitative methods will be used to explore patient and physician experience and evaluate SPIDER's processes.

CONCLUSION

We are testing SPIDER in a primary care population with complex care needs. This could provide a widely applicable model for care improvement.

TRIAL REGISTRATION

Clinicaltrials.gov NCT03689049 ; registered September 28, 2018.

Core Patient-Reported Outcomes (PROs) and PRO Measures (PROMs) for Polypharmacy Medicines Reviews: A Sequential Mixed-Methods Study

PURPOSE

Problematic polypharmacy can exaggerate "medicine burden" for the patient. Patient-reported outcomes (PROs) are key indicators of medicine burden, and PRO measures (PROMs) can help patients articulate their perceptions of medicine burden. We aimed to: (a) evaluate what PROMs currently exist that assess medicine burden, and what PROs they target, and (b) understand patients' experiences with using multiple medicines to establish a core set of most meaningful and relevant PROs for assessment in polypharmacy medicines reviews.

PATIENTS AND METHODS

We conducted a prospective, sequential mixed-methods study in two consecutive work phases. Phase 1 involved a rapid review of PROMs, informed by the published PRISMA and COSMIN initiative guidelines. We integrated all evidence in a thematic narrative synthesis. Phase 2 involved cross-sectional, one-to-one, semi-structured interviews with key stakeholders, including members of the public and healthcare professionals (HCPs). We conducted thematic content analysis to identify and classify emerging PROs.

RESULTS

In Phase 1, 13 studies described the development and/or validation of 12 PROMs. The PROMs targeted 14 content domains of adult patients' experiences with prescribed medicines. PROMs varied widely in terms of length, comprehensiveness and psychometric robustness. In Phase 2, all participants (seven members of the public; eight HCPs) agreed on the clinical relevance of PROMs, providing a rich account of justifications. We identified four core PROs: 'Knowledge, information and communication about own medicines'; "Perceptions, views and attitudes about (own) medicines"; "Impact on daily living: Side-effects and practicalities", and "Medicine usage: 'as planned', misuse, abuse, no use".

CONCLUSION

We suggest combining psychometrically robust PROMs or domains across PROMs into a bespoke PROM that addresses comprehensively and succinctly the four core PROs. We recommend a careful implementation process that must involve consultation with all relevant stakeholders, while establishing a clear purpose for collecting a PROM and realistic and ongoing collection at key time-points.

Impact of deprescribing rounds on discharge prescriptions: an interventional trial

Background Successful deprescribing practices are required to address issues associated with polypharmacy but are hindered by minimal interprofessional collaboration, time constraints, concern for negative outcomes, and absence of a systematic and evidence-based approach. Objective Determine the impact of pharmacist-led deprescribing rounds within a clinical teaching unit (CTU) the number of home medications discontinued upon hospital discharge. Setting Canadian tertiary care hospital. Methods Prospective, dual-arm, interventional study conducted in a single centre, from November 23rd, 2015 to August 30th, 2016. All patients ≥ 19 years old admitted under the CTU were considered for enrolment if on medication(s) prior to admission and patients were excluded if not taking any medications. Study arm allocation alternated daily between the two teams. The control arm operated as per standard whereas the intervention arm's pharmacist used a deprescribing guide and medication review to identify medications eligible for discontinuation prior to discussing during daily rounds. Discharge documents communicated medication changes to patient and primary healthcare providers. The study was sufficiently powered. Main outcome measure The difference of number of home medications discontinued at discharge between the intervention and control groups. Results 171 and 187 patients were allocated to the intervention and control arms, respectively. No significant differences of baseline characteristics existed between groups. Main outcome measure results showed that deprescribing rounds resulted in significantly more medications deprescribed compared to control (65% vs. 38%; p = 0.001). The rates of readmission and emergency department visits were reduced in the intervention arm. Conclusions Incorporating deprescribing rounds into routine care led to significantly greater discontinuation of medications without increasing rate of emergency department visits or hospital admissions.Trial registration ISRCTN11751440.

Patient attitudes and experiences that predict medication discontinuation in the Veterans Health Administration

OBJECTIVES

Polypharmacy is associated with adverse medication effects. One potential solution is deprescribing, which is the intentional, proactive, rational discontinuation of a medication that is no longer indicated or for which the potential harms outweigh the potential benefits. We identified patient characteristics, attitudes, and health care experiences associated with medication discontinuation.

DESIGN, SETTING, AND PARTICIPANTS

We conducted a national mail survey, with the use of the Patient Perceptions of Discontinuation (PPoD) instrument, of 1600 veterans receiving primary care at Veterans Affairs (VA) medical centers and prescribed 5 or more concurrent medications.

MAIN OUTCOME MEASURES

The primary outcome was the response to: "Have you ever stopped taking a medicine (with or without your doctor's knowledge)?" The primary predictors of interest were 8 validated attitudinal scales. Other predictors included demographics, health status, and health care experiences.

RESULTS

Respondents (n = 803; adjusted response rate 52%) were predominantly male (85%); non-Hispanic white (68%), 65 years of age or older (60%), and with poor (16%) or fair (45%) health. Participant attitudes toward medications and their providers were generally favorable. One in 3 patients (34%) reported having stopped a medicine in the past. In a multivariable logistic regression model (P < 0.001; pseudo-R2 = 0.31; c-statistic = 0.82), factors associated with discontinuation included being told or asking to stop a medicine, greater interest in deprescribing and shared decision making, and higher education. Factors associated with decreased discontinuation were more prescriptions, higher trust in provider, and seeing a VA clinical pharmacist.

CONCLUSION

More highly educated patients with interest in deprescribing and shared decision making may be more receptive to discontinuation discussions. Future research evaluating how to incorporate this survey and these findings into clinical workflow through the design of clinical interventions may help to promote safe and rational medication use.

A narrative review of the safety concerns of deprescribing in older adults and strategies to mitigate potential harms

INTRODUCTION

As with prescribing or continuing medications, deprescribing brings with it the potential for harm as well as benefit. Uncertainty and avoidance of harm has been reported as a barrier to deprescribing in practice and may contribute to continuation of inappropriate medications.

AREAS COVERED

This narrative review covers four main safety concerns/potential harms of deprescribing in older adults: adverse drug withdrawal events, return of medical condition(s), reversal of drug-drug interactions and damage to the doctor-patient relationship. These are discussed in relation to medications in general, with some examples of medication classes used to illustrate the potential safety concerns. The majority of these harms can be minimized or even prevented by using a patient-centered, structured deprescribing process with planning, tapering and close monitoring during, and after medication withdrawal.

EXPERT OPINION

More research is needed into the safety concerns of deprescribing, however, avenues exist during drug development and post-marketing surveillance to gain knowledge on this topic. Questions remain about when it is suitable to discontinue certain medications/medication classes and there is uncertainty about the harms and benefits of both medication continuation and discontinuation in complex older adults.