Physicians and Specialties in the Veterans Health Administration's Community Care Network.

This cross-sectional study of data from the US Veterans Health Administration examines the availability of services provided through community care networks by specialty and clinical characteristics.

Challenges in Deprescribing among Older Adults in Post-Acute Care Transitions to Home.

OBJECTIVES: Medications with a higher risk of harm or that are unlikely to be beneficial are used by nearly all older patients in home health care (HHC). The objective of this study was to understand stakeholders' perspectives on challenges in deprescribing these medications for post-acute HHC patients. DESIGN: Qualitative individual interviews were conducted with stakeholders involved with post-acute deprescribing. SETTING AND PARTICIPANT: Older HHC patients, HHC nurses, pharmacists, and primary/acute care/post-acute prescribers from 9 US states participated in individual qualitative interviews. MEASURES: Interview questions were focused on the experience, processes, roles, training, workflow, and challenges of deprescribing in hospital-to-home transitions. We used the constant comparison approach to identify and compare findings among patient, prescriber, and pharmacist and HHC nurse stakeholders. RESULTS: We interviewed 9 older patients, 11 HHC nurses, 5 primary care physicians (PCP), 3 pharmacists, 1 hospitalist, and 1 post-acute nurse practitioner. Four challenges were described in post-acute deprescribing for HHC patients. First, PCPs' time constraints, the timing of patient encounters after hospital discharge, and the lack of prioritization of deprescribing make it difficult for PCPs to initiate post-acute deprescribing. Second, patients are often confused about their medications, despite the care team's efforts in educating the patients. Third, communication is challenging between HHC nurses, PCPs, specialists, and hospitalists. Fourth, the roles of HHC nurses and pharmacists are limited in care team collaboration and discussion about post-acute deprescribing. CONCLUSIONS AND IMPLICATIONS: Post-acute deprescribing relies on multiple parties in the care team yet it has challenges. Interventions to align the timing of deprescribing and that of post-acute care visits, prioritize deprescribing and allow clinicians more time to complete related tasks, improve medication education for patients, and ensure effective communication in the care team with synchronized electronic health record systems are needed to advance deprescribing during the transition from hospital to home.

How to Deprescribe Potentially Inappropriate Medications During the Hospital-to-Home Transition: Stakeholder Perspectives on Essential Tasks.

PURPOSE: Nearly all older patients receiving postacute home health care (HHC) use potentially inappropriate medications (PIMs) that carry a risk of harm. Deprescribing can reduce and optimize the use of PIMs, yet it is often not conducted among HHC patients. The objective of this study was to gather perspectives from patient, practitioner, and HHC clinician stakeholders on tasks that are essential to postacute deprescribing in HHC. METHODS: A total of 44 stakeholders, including 14 HHC patients, 15 practitioners (including 9 primary care physicians, 4 pharmacists, 1 hospitalist, and 1 nurse practitioner), and 15 HHC nurses, participated. The stakeholders were from 12 US states, including New York (n = 29), Colorado (n = 2), Connecticut (n = 1), Illinois (n = 2), Kansas (n = 2), Massachusetts (n = 1), Minnesota (n = 1), Mississippi (n = 1), Nebraska (n = 1), Ohio (n = 1), Tennessee (n = 1), and Texas (n = 2). First, individual interviews were conducted by experienced research staff via video conference or telephone. Second, the study team reviewed all interview transcripts and selected interview statements regarding stakeholders' suggestions for important tasks needed for postacute deprescribing in HHC. Third, concept mapping was conducted in which stakeholders sorted and rated selected interview statements regarding importance and feasibility. A content analysis was conducted of data collected in the individual interviews, and a mixed-method analysis was conducted of data collected in the concept mapping. FINDINGS: Four essential tasks were identified for postacute deprescribing in HHC: (1) ongoing review and assessment of medication use, (2) patent-centered and individualized plan of deprescribing, (3) timely and efficient communication among members of the care team, and (4) continuous and tailored medication education to meet patient needs. Among these tasks, developing patient-centered deprescribing considerations was considered the most important and feasible, followed by medication education, review and assessment of medication use, and communication. IMPLICATIONS: Deprescribing during the transition of care from hospital to home requires the following: continuous medication education for patients, families, and caregivers; ongoing review and assessment of medication use; patient-centered deprescribing considerations; and effective communication and collaboration among the primary care physician, HHC nurse, and pharmacist.

Why do older adults decline participation in research? Results from two deprescribing clinical trials.

BACKGROUND: Heterogenous older adult populations are underrepresented in clinical trials, and their participation is necessary for interventions that directly target them. The purpose of this study was to evaluate reasons why hospitalized older adults declined participation in two deprescribing clinical trials. METHODS: We report enrollment data from two deprescribing trials, Shed-MEDS (non-Veterans) and VA DROP (Veterans). For both trials, inclusion criteria required participants to be hospitalized, age 50 or older, English-speaking, and taking five or more home medications. Eligible patients were approached for enrollment while hospitalized. When an eligible patient or surrogate declined participation, the reason(s) were recorded and subsequently analyzed inductively to develop themes, and a chi-square test was used for comparison (of themes between Veterans and non-Veterans). RESULTS: Across both trials, 1226 patients (545 non-Veterans and 681 Veterans) declined enrollment and provided reasons, which were condensed into three themes: (1) feeling overwhelmed by their current health status, (2) lack of interest or mistrust of research, and (3) hesitancy to participate in a deprescribing study. A greater proportion of Veterans expressed a lack of interest or mistrust in research (42% vs 26%, chi-square value = 36.72, p < .001), whereas a greater proportion of non-Veterans expressed feeling overwhelmed by their current health status (54% vs 35%, chi-square value = 42.8 p < 0.001). Across both trials, similar proportion of patients expressed hesitancy to participate in a deprescribing study, with no significant difference between Veterans and non-Veterans (23% and 21%). CONCLUSIONS: Understanding the reasons older adults decline participation can inform future strategies to engage this multimorbid population.

Effect of physical and occupational therapy on delirium duration in older emergency department patients who are hospitalized.

Objective: Delirium in older emergency department (ED) adults is associated with poorer long-term physical function and cognition. We sought to evaluate if the time to and intensity of physical and/or occupational therapy (PT/OT) are associated with the duration of ED delirium into hospitalization (ED delirium duration). Methods: This is a secondary analysis of a prospective cohort study conducted from March 2012 to November 2014 at an urban, academic, tertiary care hospital. Patients aged ≥65 years presenting to the ED and who received PT/OT during their hospitalization were included. Days from enrollment to the first PT/OT session and PT/OT duration relative to hospital length of stay (PT/OT intensity) were abstracted from the medical record. ED delirium duration was defined as the duration of delirium detected in the ED using the Brief Confusion Assessment Method. Data were analyzed using a proportional odds logistic regression adjusted for multiple variables. Adjusted odds ratios (ORs) were calculated with 95% confidence intervals (95%CI). Results: The median log PT/OT intensity was 0.5% (interquartile range [IQR]: 0.3%, 0.9%) and was associated with shorter delirium duration (adjusted OR, 0.39; 95% CI, 0.21-0.73). The median time to the first PT/OT session was 2 days (IQR: 1, 3 days) and was not associated with delirium duration (adjusted OR, 1.02; 95% CI, 0.82-1.27). Conclusion: In older hospitalized adults, higher PT/OT intensity may be a useful intervention to shorten delirium duration. Time to first PT/OT session was not associated with delirium duration but was initiated a full 2 days after the ED presentation.

Deprescribing Medications Among Older Adults From End of Hospitalization Through Postacute Care: A Shed-MEDS Randomized Clinical Trial.

Importance: Deprescribing is a promising approach to addressing the burden of polypharmacy. Few studies have initiated comprehensive deprescribing in the hospital setting among older patients requiring ongoing care in a postacute care (PAC) facility. Objective: To evaluate the efficacy of a patient-centered deprescribing intervention among hospitalized older adults transitioning or being discharged to a PAC facility. Design, Setting, and Participants: This randomized clinical trial of the Shed-MEDS (Best Possible Medication History, Evaluate, Deprescribing Recommendations, and Synthesis) deprescribing intervention was conducted between March 2016 and October 2020. Patients who were admitted to an academic medical center and discharged to 1 of 22 PAC facilities affiliated with the medical center were recruited. Patients who were 50 years or older and had 5 or more prehospital medications were enrolled and randomized 1:1 to the intervention group or control group. Patients who were non-English speaking, were unhoused, were long-stay residents of nursing homes, or had less than 6 months of life expectancy were excluded. An intention-to-treat approach was used. Interventions: The intervention group received the Shed-MEDS intervention, which consisted of a pharmacist- or nurse practitioner-led comprehensive medication review, patient or surrogate-approved deprescribing recommendations, and deprescribing actions that were initiated in the hospital and continued throughout the PAC facility stay. The control group received usual care at the hospital and PAC facility. Main Outcomes and Measures: The primary outcome was the total medication count at hospital discharge and PAC facility discharge, with follow-up assessments during the 90-day period after PAC facility discharge. Secondary outcomes included the total number of potentially inappropriate medications at each time point, the Drug Burden Index, and adverse events. Results: A total of 372 participants (mean [SD] age, 76.2 [10.7] years; 229 females [62%]) were randomized to the intervention or control groups. Of these participants, 284 were included in the intention-to-treat analysis (142 in the intervention group and 142 in the control group). Overall, there was a statistically significant treatment effect, with patients in the intervention group taking a mean of 14% fewer medications at PAC facility discharge (mean ratio, 0.86; 95% CI, 0.80-0.93; P < .001) and 15% fewer medications at the 90-day follow-up (mean ratio, 0.85; 95% CI, 0.78-0.92; P < .001) compared with the control group. The intervention additionally reduced patient exposure to potentially inappropriate medications and Drug Burden Index. Adverse drug event rates were similar between the intervention and control groups (hazard ratio, 0.83; 95% CI, 0.52-1.30). Conclusions and Relevance: Results of this trial showed that the Shed-MEDS patient-centered deprescribing intervention was safe and effective in reducing the total medication burden at PAC facility discharge and 90 days after discharge. Future studies are needed to examine the effect of this intervention on patient-reported and long-term clinical outcomes. Trial Registration: ClinicalTrials.gov Identifier: NCT02979353.

How "age-friendly" are deprescribing interventions? A scoping review of deprescribing trials.

OBJECTIVE: To assess how age-friendly deprescribing trials are regarding intervention design and outcome assessment. Reduced use of potentially inappropriate medications (PIMs) can be addressed by deprescribing-a systematic process of discontinuing and/or reducing the use of PIMs. The 4Ms-"Medication", "Mentation", "Mobility", and "What Matters Most" to the person-can be used to guide assessment of age-friendliness of deprescribing trials. DATA SOURCE: Published literature. STUDY DESIGN: Scoping review. DATA EXTRACTION METHODS: The literature was identified using keywords related to deprescribing and polypharmacy in PubMed, EMBASE, Web of Science, ProQuest, CINAHL, and Cochrane and snowballing. Study characteristics were extracted and evaluated for consideration of 4Ms. PRINCIPAL FINDINGS: Thirty-seven of the 564 trials identified met the review eligibility criteria. Intervention design: "Medication" was considered in the intervention design of all trials; "Mentation" was considered in eight trials; "Mobility" (n = 2) and "What Matters Most" (n = 6) were less often considered in the design of intervention. Most trials targeted providers without specifying how matters important to older adults and their families were aligned with deprescribing decisions. OUTCOME ASSESSMENT: "Medication" was the most commonly assessed outcome (n = 33), followed by "Mobility" (n = 13) and "Mentation" (n = 10) outcomes, with no study examining "What Matters Most" outcomes. CONCLUSIONS: "Mentation" and "Mobility", and "What Matters Most" have been considered to varying degrees in deprescribing trials, limiting the potential of deprescribing evidence to contribute to improved clinical practice in building an age-friendly health care system.

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.

Implementation considerations of deprescribing interventions: A scoping review.

Over half of older adults experience polypharmacy, including medications that may be inappropriate or unnecessary. Deprescribing, which is the process of discontinuing or reducing inappropriate and/or unnecessary medications, is an effective way to reduce polypharmacy. This review summarizes (1) the process of deprescribing and conceptual models and tools that have been developed to facilitate deprescribing, (2) barriers, enablers, and factors associated with deprescribing, and (3) characteristics of deprescribing interventions in completed trials, as well as (4) implementation considerations for deprescribing in routine practice. In conceptual models of deprescribing, multilevel factors of the patient, clinician, and health-care system are all related to the efficacy of deprescribing. Numerous tools have been developed for clinicians to facilitate deprescribing, yet most require substantial time and, thus, may be difficult to implement during routine health-care encounters. Multiple deprescribing interventions have been evaluated, which mostly include one or more of the following components: patient education, medication review, identification of deprescribing targets, and patient and/or provider communication about high-risk medications. Yet, there has been limited consideration of implementation factors in prior deprescribing interventions, especially with regard to the personnel and resources in existing health-care systems and the feasibility of incorporating components of deprescribing interventions into the routine care processes of clinicians. Future trials require a more balanced consideration of both effectiveness and implementation when designing deprescribing interventions.

Medications Associated With Geriatric Syndromes (MAGS) and Hospitalization Risk in Home Health Care Patients.

OBJECTIVES: Polypharmacy is common in home health care (HHC). This study examined the prevalence of medications associated with geriatric syndromes (MAGS), its predictors, and association with subsequent hospitalization in HHC. DESIGN: Analysis of HHC electronic medical records, the Outcome and Assessment Information Set (OASIS), and Medicare HHC claims. SETTING AND PARTICIPANTS: A total of 6882 adults ≥65 years old receiving HHC in 2019 from a large, not-for-profit home health agency serving multiple counties in New York State. MEASURES: MAGS use was identified from active medications reconciled during HHC visits (HHC electronic medical records). MAGS use was operationalized as count and in quartiles. Hospitalization during the HHC episode was operationalized as a time-to-event variable (ie, number of days from HHC admission to hospitalization). We used regression analyses to identify predictors of MAGS use, and survival analyses to examine the association between MAGS and hospitalization. RESULTS: Nearly all (98%) of the HHC patients used at least 1 MAGS and 41% of all active medications used by the sample were MAGS. More MAGS use was found in HHC patients who were community-referred, taking more medications, and having more diagnoses, depressive symptoms, and functional limitations. Adjusted for covariates, higher MAGS quartiles were not independently associated with the risk of hospitalization, but higher MAGS quartiles combined with multimorbidity (ie, having ≥10 diagnoses) were associated with a 2.3-fold increase in hospitalization risk (hazard ratio 2.24; 95% confidence interval: 1.61-3.13; P < .001), relative to the lowest quartile of MAGS use and having <10 diagnoses. CONCLUSIONS AND IMPLICATIONS: More than 40% of medications taken by HHC patients are MAGS. Multimorbidity and MAGS use collectively increased the risk of hospitalization by up to 2.3 times. HHC clinicians should carefully review patients' medications and use information about MAGS to facilitate discussion about deprescribing with patients and their prescribers.

The Minimum Data Set: An Opportunity to Improve Spasticity Screening.

Spasticity is a common movement disorder that arises from trauma or disease affecting the central nervous system. Untreated spasticity can result in limitations in completing activities of daily living, painful limb contractures, and other conditions associated with loss of mobility. In the long-term care setting, this treatable condition is prevalent, yet often unrecognized likely because of a lack of spasticity-trained practitioners. A recently published spasticity referral tool holds promise for addressing the underdiagnosis of spasticity in the long-term care population. The Minimum Data Set (MDS) would be an ideal mechanism for increasing the diagnosis and treatment of spasticity because it is a government-directed comprehensive screening tool that informs care plans for all residents residing in federally funded long-term care facilities. The MDS could easily integrate the published referral assessment to record the presence of spastic postures and muscle rigidity. We propose expanding the MDS to include 3 questions related to spasticity to improve the recognition and treatment of this prevalent and treatable condition.

Prevalence of Spasticity in Nursing Home Residents.

OBJECTIVES: To determine the prevalence, rate of underdiagnosis and undertreatment, and association with activities of daily living dependency of spasticity in a nursing home setting. DESIGN: Cross-sectional study. SETTING AND PARTICIPANTS: This study is an analysis of a deidentified data set generated by a prior quality improvement project at a 240-bed nursing home for residents receiving long-term care or skilled nursing care services. METHODS: Each resident was examined by a movement disorders specialist neurologist to determine whether spasticity was present and, if so, the total number of spastic postures present in upper and lower limbs was recorded. Medical records, including the Minimum Data Set, were reviewed for neurologic diagnoses associated with spasticity, activities of daily living (ADL) dependency, and prior documentation of diagnosis and past or current treatments. Ordinary least squares linear regression models were used to evaluate the association between spasticity and ADL dependency. RESULTS: Two hundred nine residents (154 women, 81.9 ± 10.9 years) were included in this analysis. Spasticity was present in 22% (45/209) of residents examined by the neurologist. Only 11% of residents (5/45) had a prior diagnosis of spasticity and were receiving treatment. Presence of spasticity was associated with greater ADL dependency (χ2 = 51.72, P < .001), which was driven by lower limb spasticity (χ2 = 14.56, P = .006). CONCLUSIONS AND IMPLICATIONS: These results suggest that spasticity (1) is common in nursing homes (1 of 5 residents), (2) is often not diagnosed or adequately treated, and (3) is associated with worse ADL dependency. Further research is needed to enhance the rates of diagnosis and treatment of spasticity in long-term care facilities.

Supratherapeutic Psychotropic Drug Levels in the Emergency Department and Their Association with Delirium Duration: A Preliminary Study.

OBJECTIVES: Polypharmacy is associated with delirium, but the mechanisms for this connection are unclear. Our goal was to determine the frequency of supratherapeutic psychotropic drug levels (SPDLs) in older hospitalized patients and if it is associated with the duration of emergency department (ED) delirium. DESIGN: Secondary analysis of a prospective cohort study. SETTING: Tertiary care academic medical center. PARTICIPANTS: ED patients 65 years or older who were admitted to the hospital. MEASUREMENTS: Delirium was assessed in the ED and during the first 7 days of hospitalization using the modified Brief Confusion Assessment Method. Drug concentrations were determined in serum samples collected at enrollment via a novel platform based on liquid chromatography-tandem mass spectrometry capable of identifying and quantitating 78 clinically approved medications including opioids, benzodiazepines, antidepressants, antipsychotics, and amphetamines. Patients with serum psychotropic drug concentrations above established reference ranges were considered supratherapeutic and have a SPDL. We performed proportional odds logistic regression to determine if SPDLs were associated with ED delirium duration adjusted for confounders. Medical record review was performed to determine if the doses of medications associated with SPDLs were adjusted at hospital discharge. RESULTS: A total of 158 patients were enrolled; of these, 66 were delirious in the ED. SPDLs were present in 11 (17%) of the delirious and 4 (4%) of the non-delirious ED patients. SPDLs were significantly associated with longer ED delirium duration (adjusted proportional odds ratio = 6.0; 95% confidence interval = 2.1-17.3) after adjusting for confounders. Of the 15 medications associated with SPDLs, 9 (60%) were prescribed at the same or higher doses at the time of hospital discharge. CONCLUSION: SPDLs significantly increased the odds of prolonged ED delirium episodes. Approximately half of the medications associated with SPDLs were continued after hospital discharge at the same or higher doses. J Am Geriatr Soc 67:2387-2392, 2019.

A patient-centered deprescribing intervention for hospitalized older patients with polypharmacy: rationale and design of the Shed-MEDS randomized controlled trial.

BACKGROUND: Polypharmacy 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. METHODS: The 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. DISCUSSION: The 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 REGISTRATION: This 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.

Changes in vulnerability among older patients with cardiovascular disease in the first 90 days after hospital discharge: A secondary analysis of a cohort study.

OBJECTIVES: (1) To compare changes in vulnerability after hospital discharge among older patients with cardiovascular disease who were discharged home with self-care versus a home healthcare (HHC) referral and (2) to examine factors associated with changes in vulnerability in this period. DESIGN: Secondary analysis of longitudinal data from a cohort study. PARTICIPANTS AND SETTING: 834 older (≥65 years) patients hospitalised for acute coronary syndromes and/or acute decompensated heart failure who were discharged home with self-care (n=713) or an HHC referral (n=121). OUTCOME: Vulnerability was measured using Vulnerable Elders Survey 13 (VES-13) at baseline (prior to hospital admission) and 30 days and/or 90 days after hospital discharge. Effects of HHC referral on postdischarge change in vulnerability were examined using three linear regression approaches, with potential confounding on HHC referral adjusted by propensity score matching. RESULTS: Overall, 44.4% of the participants were vulnerable at prehospitalisation baseline and 34.4% were vulnerable at 90 days after hospital discharge. Compared with self-care patients, HHC-referred patients were more vulnerable at baseline (66.9% vs 40.3%), had more increase (worsening) in VES-13 score change (B=-1.34(-2.07, -0.61), p<0.001) in the initial 30 days and more decrease (improvement) in VES-13 score change (B=0.83(0.20, 1.45), p=0.01) from 30 to 90 days after hospital discharge. Baseline vulnerability and the HHC referral attributed to 14%-16% of the variance in vulnerability change during the 90 postdischarge days, and 6% was attributed by patient age, race (African-American), depressive symptoms, and outpatient visits and hospitalisations in the past year. CONCLUSION: After adjusting for preceding vulnerability and covariates, older hospitalised patients with cardiovascular disease referred to HHC had delayed recovery in vulnerability in first initial 30 days after hospital discharge and greater improvement in vulnerability from 30 to 90 days after hospital discharge. HHC seemed to facilitate improvement in vulnerability among older patients with cardiovascular disease from 30 to 90 days after hospital discharge.

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

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.

Home Health Nurses' Perspectives and Care Processes Related to Older Persons with Frailty and Depression: A Mixed Method Pilot Study.

The objectives of this study were (1) to describe home health care (HHC) nurses' perception of and care processes related to geriatric depression and frailty, and (2) to identify barriers to care delivery for older persons with these two conditions. Ten semi-structured interviews were conducted with HHC nurses, and 16 HHC nursing visits to 16 older patients (≥65 years) were observed. Mixed method analysis showed that HHC nurses did not routinely assess for frailty and depression. Major barriers to care delivery included insufficient training, documentation burden, limited reimbursement, and high caseload. Addressing these barriers would facilitate HHC nursing care for frail, depressed elders.

A System for Managing Staff and Quality of Dementia Care in Assisted Living Facilities.

OBJECTIVES: To describe a staff management and quality improvement system implemented in an assisted-living facility (ALF) that provides dementia care. DESIGN: Prospective quality improvement project over 13 consecutive months. SETTING: One ALF that provides dementia care services. PARTICIPANTS: ALF residents with dementia (N=57). INTERVENTION: A staff management and quality improvement system was implemented for 3 aspects of daily care: morning and evening activity of daily living (ADL) care, nutritional care, and activity engagement. MEASUREMENTS: Supervisory staff monitored the quality of daily care processes of all residents and direct care staff using standardized observations. Observational data were summarized into quality measures for each of the 3 daily care areas and ranged from 0% to 100%, with a higher score indicative of better quality. These quality measures were shared with direct care staff in weekly huddles at which feedback was provided about areas in need of improvement. The management team also reviewed the data weekly to discuss strategies for improvement. RESULTS: The quality measures in each of the 3 areas improved or remained consistently high over the 13 study months: morning and evening ADL care (83-96%), quality nutritional of care during meals (74-95%), activity engagement (69-97%). CONCLUSION: A staff management and quality improvement system that relies on standardized observations of quality of care, weekly review by managers, and feedback to direct care staff informs areas in need of improvement and supports consistent implementation of quality of care over time for ALF residents receiving dementia care.

A Quality Improvement System to Manage Feeding Assistance Care in Assisted-Living.

PURPOSE: To describe a feasible quality improvement system to manage feeding assistance care processes in an assisted living facility (ALF) that provides dementia care and the use of these data to maintain the quality of daily care provision and prevent unintentional weight loss. DESIGN AND METHODS: Supervisory ALF staff used a standardized observational protocol to assess feeding assistance care quality during and between meals for 12 consecutive months for 53 residents receiving dementia care. Direct care staff received feedback about the quality of assistance and consistency of between-meal snack delivery for residents with low meal intake and/or weight loss. RESULTS: On average, 78.4% of the ALF residents consumed more than one-half of each served meal and/or received staff assistance during meals to promote consumption over the 12 months. An average of 79.7% of the residents were offered snacks between meals twice per day. The prevalence of unintentional weight loss averaged 1.3% across 12 months. IMPLICATIONS: A quality improvement system resulted in sustained levels of mealtime feeding assistance and between-meal snack delivery and a low prevalence of weight loss among ALF residents receiving dementia care. Given that many ALF residents receiving dementia care are likely to be at risk for low oral intake and unintentional weight loss, ALFs should implement a quality improvement system similar to that described in this project, despite the absence of regulations to do so.