Browsing by Subject "Deprescribing"

Now showing 1 - 4 of 4
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    Deprescribing anticholinergics to preserve brain health: reducing the risk of dementia through deprescribing (R2D2): study protocol for a randomized clinical trial
    (Springer Nature, 2024-11-22) Campbell, Noll L.; Holden, Richard J.; Gao, Sujuan; Unverzagt, Frederick W.; Lane, Kathleen A.; Carter, Allie; Harrington, Addison B.; Manoharan, Sneha; Manoharan, Neha; Rosenthal, Danielle L.; Pitts, Christopher; Pelkey, Kathryn; Papineau, Emily; Lauck, David M.; Keshk, Noha; Alamer, Khalid; Khalil, Hussein; Boustani, Malaz A.; Psychiatry, School of Medicine
    Background: Older adults commonly experience chronic medical conditions and are at risk of cognitive impairment as a result of age, chronic comorbidity, and medications prescribed to manage multiple chronic conditions. Anticholinergic medications are common treatments for chronic conditions and have been repeatedly associated with poor cognitive outcomes, including delirium and dementia, in epidemiologic studies. However, no study has definitively evaluated the causal relationship between anticholinergics and cognition in a randomized controlled trial design. Utilizing our prior experience in deprescribing anticholinergic medications in various clinical environments, we designed an outpatient deprescribing intervention to prospectively test the potential causal relationship between anticholinergics and cognition in primary care older adults. Methods: This cluster randomized clinical trial will be conducted to evaluate the impact of an anticholinergic deprescribing intervention compared to usual care on outcomes of cognition and safety in primary care older adults. Participants will include those aged 65 years and over, receiving primary care in the greater Indianapolis area, using a strong anticholinergic within the last 2 weeks or with evidence of high-risk exposure in the past year. Those excluded will have a diagnosis of Alzheimer's disease or related dementia, or serious mental illness. The trial plans to enroll 344 participants who will be cluster-randomized at the level of primary care physician to avoid contamination. Participants will complete outcome assessments every 6 months up to 2 years by blinded outcome assessors. The primary outcome of the study is a composite measure of cognition that includes domains assessing executive cognitive function, language, and memory. Secondary outcomes include patient-reported measures of pain intensity, depression, anxiety, sleep disturbance, and health-related quality of life. Discussion: The R2D2 trial will be the largest and longest prospective randomized trial testing the impact of an anticholinergic-specific deprescribing intervention on cognition in primary care older adults. Results could influence deprescribing methodology and provide new insight on the relationship between anticholinergics and cognition.
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    Deprescribing in the Pharmacologic Management of Delirium (de-PMD): A Randomized Trial in the Intensive Care Unit
    (Wiley, 2019-04) Campbell, Noll L.; Perkins, Anthony J.; Khan, Babar A.; Gao, Sujuan; Farber, Mark O.; Khan, Sikandar; Wang, Sophia; Boustani, Malaz A.; Medicine, School of Medicine
    OBJECTIVE: Benzodiazepines and anticholinergics are risk factors for delirium in the intensive care unit (ICU). We tested the impact of a deprescribing intervention on short-term delirium outcomes. DESIGN: Multi-site randomized clinical trial SETTING: ICU’s of three large hospitals PARTICIPANTS: Two hundred adults aged ≥ 18 years admitted to an ICU with delirium according to the Richmond Agitation Severity Scale and the Confusion Assessment Method for the ICU (CAM-ICU). Participants had a contraindication to haloperidol (seizure disorder or prolonged QT interval) or preference against haloperidol as a treatment for delirium, and were excluded for serious mental illness, stroke, pregnancy or alcohol withdrawal. Participants were randomized to a deprescribing intervention or usual care. The intervention included electronic alerts combined with pharmacist support to deprescribe anticholinergics and benzodiazepines. MEASUREMENTS: Primary outcomes were delirium duration measured by the CAM-ICU, and severity measured by the Delirium Rating Scale Revised-98 (DRS-R-98) and the CAM-ICU-7; secondary outcomes included adverse events and mortality. RESULTS: Participants had a mean age of 61.8 (standard deviation: 14.3) years, 59% female, and 52% African American with no significant differences in baseline characteristics between groups. No differences between groups were identified in the number exposed to anticholinergics (p=0.219) or benzodiazepines (p=0.566), the median total anticholinergic score (p=0.282), or the median total benzodiazepine dose in lorazepam equivalents (p=0.501). Neither median delirium/coma-free days (p=0.361) nor median change in delirium severity scores (p=0.582 for DRS-R-98; p=0.333 for CAM-ICU-7) were different between groups. No differences in adverse events or mortality were identified. CONCLUSIONS: When added to state-of-the-art clinical services, this deprescribing intervention had no impact on medication use in ICU participants. Given the age of the population, results of clinical outcomes may not be easily extrapolated to older adults. Nonetheless, improved approaches for deprescribing or preventing anticholinergics and benzodiazepines should be developed to determine the impact on delirium outcomes.
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    Multicomponent behavioral intervention to reduce exposure to anticholinergics in primary care older adults
    (Wiley, 2021) Campbell, Noll L.; Holden, Richard J.; Tang, Qing; Boustani, Malaz A.; Teal, Evgenia; Hillstrom, Jennifer; Tu, Wanzhu; Clark, Daniel O.; Callahan, Christopher M.; Medicine, School of Medicine
    Objective: To test the impact of a multicomponent behavioral intervention to reduce the use of high-risk anticholinergic medications in primary care older adults. Design: Cluster-randomized controlled trial. Setting and participants: Ten primary care clinics within Eskenazi Health in Indianapolis. Intervention: The multicomponent intervention included provider- and patient-focused components. The provider-focused component was computerized decision support alerting of the presence of a high-risk anticholinergic and offering dose- and indication-specific alternatives. The patient-focused component was a story-based video providing education and modeling an interaction with a healthcare provider resulting in a medication change. Alerts within the medical record triggered staff to play the video for a patient. Our design intended for parallel, independent priming of both providers and patients immediately before an outpatient face-to-face interaction. Measurement: Medication orders were extracted from the electronic medical record system to evaluate the prescribing behavior and population prevalence of anticholinergic users. The intervention was introduced April 1, 2019, through March 31, 2020, and a preintervention observational period of April 1, 2018, through March 31, 2019, facilitated difference in difference comparisons. Results: A total of 552 older adults had visits at primary care sites during the study period, with mean age of 72.1 (SD 6.4) years and 45.3% African American. Of the 259 provider-focused alerts, only three (1.2%) led to a medication change. Of the 276 staff alerts, 4.7% were confirmed to activate the patient-focused intervention. The intervention resulted in no significant differences in either the number of discontinue orders for anticholinergics (intervention: two additional orders; control: five fewer orders, p = 0.7334) or proportion of the population using anticholinergics following the intervention (preintervention: 6.2% and postintervention: 5.1%, p = 0.6326). Conclusion: This multicomponent intervention did not reduce the use of high-risk anticholinergics in older adults receiving primary care. Improving nudges or a policy-focused component may be necessary to reduce use of high-risk medications.
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    Reducing Anticholinergic Medication Exposure among Older Adults using Consumer Technology: Protocol for a Randomized Clinical Trial
    (Elsevier, 2021) Abebe, Ephrem; Campbell, Noll L.; Clark, Daniel O.; Tu, Wanzhu; Hill, Jordan R.; Harrington, Addison B.; O’Neal, Gracen; Trowbridge, Kimberly S.; Vallejo, Christian; Yang, Ziyi; Bo, Na; Knight, Alexxus; Alamer, Khalid A.; Carter, Allie; Valenzuela, Robin; Adeoye, Philip; Boustani, Malaz A.; Holden, Richard J.; Medicine, School of Medicine
    Introduction: A growing body of scientific evidence points to the potentially harmful cognitive effects of anticholinergic medications among older adults. Most interventions designed to promote deprescribing of anticholinergics have directly targeted healthcare professionals and have had mixed results. Consumer-facing technologies may provide a unique benefit by empowering patients and can complement existing healthcare professional-centric efforts. Methods: We initiated a randomized clinical trial to evaluate the effectiveness of a patient-facing mobile application (Brain Safe app) compared to an attention control medication list app in reducing anticholinergic exposure among community-dwelling older adults. Study participants are adults aged 60 years and above, currently using at least one prescribed strong anticholinergic, and receiving primary care. The trial plans to enroll a total of 700 participants, randomly allocated in 1:1 proportion to the two study arms. Participants will have the Brain Safe app (intervention arm) or attention control medication list app (control arm) loaded onto a smartphone (study provided or personal device). All participants will be followed for 12 months and will have data collected at baseline, at 6 months, and 12 months by blinded outcome assessors. The primary outcome of the study is anticholinergic exposure measured as total standard daily dose (TSDD) computed from medication prescription electronic records. Secondary outcomes of the study are cognitive function and health-related quality of life. Discussion: A consumer-facing intervention to promote deprescribing of potentially high-risk medications can be part of a multi-pronged approach to reduce inappropriate medication use among older adult patients. Delivering a deprescribing intervention via a mobile app is a novel approach and may hold great promise to accelerate deployment of medication safety initiatives across diverse patient populations.