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Shed-MEDS: pilot of a patient-centered deprescribing framework reduces medications in hospitalized older adults being transferred to inpatient postacute care.

ABSTRACT: Background:Polypharmacy is common in hospitalized older adults. Deprescribing interventions are not well described in the acute-care setting. The objective of this study was to describe a hospital-based, patient-centered deprescribing protocol (Shed-MEDS) and report pilot results. Methods:This was a pilot study set in one academic medical center in the United States. Participants consisted of a convenience sample of 40 Medicare-eligible, hospitalized patients with at least five prescribed medications. A deprescribing protocol (Shed-MEDS) was implemented among 20 intervention and 20 usual care control patients during their hospital stay. The primary outcome was the total number of medications deprescribed from hospital enrollment. Deprescribed was defined as medication termination or dose reduction. Enrollment medications reflected all prehospital medications and active in-hospital medications. Baseline characteristics and outcomes were compared between the intervention and usual care groups using simple logistic or linear regression for categorical and continuous measures, respectively. Results:There was no significant difference between groups in mean age, sex or Charlson comorbidity index. The intervention and control groups had a comparable number of medications at enrollment, 25.2 (±6.3) and 23.4 (±3.8), respectively. The number of prehospital medications in each group was 13.3 (±4.6) and 15.3 (±4.6), respectively. The Shed-MEDS protocol compared with usual care significantly increased the mean number of deprescribed medications at hospital discharge and reduced the total medication burden by 11.6 versus 9.1 (p = 0.032) medications. The deprescribing intervention was associated with a difference of 4.6 [95% confidence interval (CI) 2.5-6.7, p < 0.001] in deprescribed medications and a 0.5 point reduction (95% CI -0.01 to 1.1) in the drug burden index. Conclusions:A hospital-based, patient-centered deprescribing intervention is feasible and may reduce the medication burden in older adults.

SUBMITTER: Petersen AW

PROVIDER: S-EPMC6116773 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature

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Shed-MEDS: pilot of a patient-centered deprescribing framework reduces medications in hospitalized older adults being transferred to inpatient postacute care.

Petersen Alec W AW Shah Avantika S AS Simmons Sandra F SF Shotwell Matthew S MS Jacobsen J Mary Lou JML Myers Amy P AP Mixon Amanda S AS Bell Susan P SP Kripalani Sunil S Schnelle John F JF Vasilevskis Eduard E EE

Therapeutic advances in drug safety 20180615 9

<h4>Background</h4>Polypharmacy is common in hospitalized older adults. Deprescribing interventions are not well described in the acute-care setting. The objective of this study was to describe a hospital-based, patient-centered deprescribing protocol (Shed-MEDS) and report pilot results.<h4>Methods</h4>This was a pilot study set in one academic medical center in the United States. Participants consisted of a convenience sample of 40 Medicare-eligible, hospitalized patients with at least five pr ...[more]

PMID: 30181860

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Project description:BackgroundPolypharmacy is prevalent among hospitalized older adults, particularly those being discharged to a post-care care facility (PAC). The aim of this randomized controlled trial is to determine if a patient-centered deprescribing intervention initiated in the hospital and continued in the PAC setting reduces the total number of medications among older patients.MethodsThe Shed-MEDS study is a 5-year, randomized controlled clinical intervention trial comparing a patient-centered describing intervention with usual care among older (≥50 years) hospitalized patients discharged to PAC, either a skilled nursing facility (SNF) or an inpatient rehabilitation facility (IPR). Patient measurements occur at hospital enrollment, hospital discharge, within 7 days of PAC discharge, and at 60 and 90 days following PAC discharge. Patients are randomized in a permuted block fashion, with block sizes of two to four. The overall effectiveness of the intervention will be evaluated using total medication count as the primary outcome measure. We estimate that 576 patients will enroll in the study. Following attrition due to death or loss to follow-up, 420 patients will contribute measurements at 90 days, which provides 90% power to detect a 30% versus 25% reduction in total medications with an alpha error of 0.05. Secondary outcomes include the number of medications associated with geriatric syndromes, drug burden index, medication adherence, the prevalence and severity of geriatric syndromes and functional health status.DiscussionThe Shed-MEDS trial aims to test the hypothesis that a patient-centered deprescribing intervention initiated in the hospital and continuing through the PAC stay will reduce the total number of medications 90 days following PAC discharge and result in improvements in geriatric syndromes and functional health status. The results of this trial will quantify the health outcomes associated with reducing medications for hospitalized older adults with polypharmacy who are discharged to post-acute care facilities.Trial registrationThis trial was prospectively registered at clinicaltrials.gov ( NCT02979353 ). The trial was first registered on 12/1/2016, with an update on 09/28/17 and 10/12/2018.

Project description:Background and objectivesEffective 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 methodsShed-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."ResultsOverall, 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 implicationsUse 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 numberNCT02979353.

Project description:Background/objectivesGuideline-based management of cardiovascular disease often involves prescribing multiple medications, which contributes to polypharmacy and risk for adverse drug events in older adults. Deprescribing is a potential strategy to mitigate these risks. We sought to characterize and compare clinician perspectives regarding deprescribing cardiovascular medications across three specialties.DesignNational cross-sectional survey.SettingAmbulatory.ParticipantsRandom sample of geriatricians, general internists, and cardiologists from the American College of Physicians.MeasurementsElectronic survey assessing clinical practice of deprescribing cardiovascular medications, reasons and barriers to deprescribing, and choice of medications to deprescribe in hypothetical clinical cases.ResultsIn each specialty, 750 physicians were surveyed, with a response rate of 26% for geriatricians, 26% for general internists, and 12% for cardiologists. Over 80% of respondents within each specialty reported that they had recently considered deprescribing a cardiovascular medication. Adverse drug reactions were the most common reason for deprescribing for all specialties. Geriatricians also commonly reported deprescribing in the setting of limited life expectancy. Barriers to deprescribing were shared across specialties and included concerns about interfering with other physicians' treatment plans and patient reluctance. In hypothetical cases, over 90% of physicians in each specialty chose to deprescribe when patients experienced adverse drug reactions. Geriatricians were most likely and cardiologists were least likely to consider deprescribing cardiovascular medications in cases of limited life expectancy (all P < .001), such as recurrent metastatic cancer (84% of geriatricians, 68% of general internists, and 45% of cardiologists), Alzheimer dementia (92% of geriatricians, 81% of general internists, and 59% of cardiologists), or significant functional impairment (83% of geriatricians, 68% of general internists, and 45% of cardiologists).ConclusionsWhile barriers to deprescribing cardiovascular medications are shared across specialties, reasons for deprescribing, especially in the setting of limited life expectancy, varied. Implementing deprescribing will require improved processes for both physician-physician and physician-patient communication. J Am Geriatr Soc 68:78-86, 2019.

Project description:BackgroundPolypharmacy and the use of potentially inappropriate medications (PIMs) are prevalent among older patients admitted to hospitals, posing a heightened risk of adverse drug events. This trial aims to evaluate the effectiveness of a pharmacist-led deprescribing intervention in reducing medications, PIM and improving clinical outcomes, using the locally developed Malaysian Potentially Inappropriate Prescribing Screening tool in Older Adults (MALPIP).MethodsThis is an 18-month cluster-randomized, open-label, parallel-arm controlled trial conducted at 14 public hospitals in the Perak state of Malaysia. Patients aged 60 and above, who have at least one medication and one comorbidity are eligible. A stratified-cluster randomization design is employed, with 7 hospitals assigned to the control arm and 7 hospitals assigned to the intervention arm. The MALPIP screening tool will be used in the intervention group to review the medications. If PIM is detected, the pharmacists will discuss with doctors and decide whether to stop or reduce the dose. The primary outcomes of this trial are the total number of medications and number of PIM. The secondary outcomes include fall, emergency department visits, readmissions, quality of life and mortality. Outcomes will be measured during enrolment, discharge, 6, 12, and 18 months.DiscussionThis REVMED trial aims to test the hypothesis that a pharmacist-led deprescribing intervention initiated in the hospital will reduce the total number of medications and PIM 18 months after hospital discharge, reducing fall, emergency department visits, readmissions, mortality and lead to improvement in quality of life. Trial findings will quantify the clinical outcomes associated with reducing medications and PIM for hospitalized older adults with polypharmacy.Trial registration numberThis trial was prospectively registered at clinicaltrials.gov (NCT05875623) on the 25th of May 2023. NCT05875623 Clinicaltrials.gov URL: NCT05875623 registered on 25th July 2023.

Project description:ObjectivesTo examine the effect of the Tool to Reduce Inappropriate Medications (TRIM), a web tool linking an electronic health record (EHR) to a clinical decision support system, on medication communication and prescribing.DesignRandomized clinical trial.SettingPrimary care clinics at a Veterans Affairs Medical Center.ParticipantsVeterans aged 65 and older prescribed seven or more medications randomized to receipt of TRIM or usual care (N = 128).InterventionTRIM extracts information on medications and chronic conditions from the EHR and contains data entry screens for information obtained from brief chart review and telephonic patient assessment. These data serve as input for automated algorithms identifying medication reconciliation discrepancies, potentially inappropriate medications (PIMs), and potentially inappropriate regimens. Clinician feedback reports summarize discrepancies and provide recommendations for deprescribing. Patient feedback reports summarize discrepancies and self-reported medication problems.MeasurementsPrimary: subscales of the Patient Assessment of Care for Chronic Conditions (PACIC) related to shared decision-making; clinician and patient communication. Secondary: changes in medications.Results29.7% of TRIM participants and 15.6% of control participants provided the highest PACIC ratings; this difference was not significant. Adjusting for covariates and clustering of patients within clinicians, TRIM was associated with significantly more-active patient communication and facilitative clinician communication and with more medication-related communication among patients and clinicians. TRIM was significantly associated with correction of medication discrepancies but had no effect on number of medications or reduction in PIMs.ConclusionTRIM improved communication about medications and accuracy of documentation. Although there was no association with prescribing, the small sample size provided limited power to examine medication-related outcomes.

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Shed-MEDS: pilot of a patient-centered deprescribing framework reduces medications in hospitalized older adults being transferred to inpatient postacute care.

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Shed-MEDS: pilot of a patient-centered deprescribing framework reduces medications in hospitalized older adults being transferred to inpatient postacute care.

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