Risk for Health Events After Deprescribing Acetylcholinesterase Inhibitors in Nursing Home Residents With Severe Dementia

A comparison of dementia diagnoses and cognitive function measures in Medicare claims and the Minimum Data Set

BACKGROUND

Gold standard dementia assessments are rarely available in large real-world datasets, leaving researchers to choose among methods with imperfect but acceptable accuracy to identify nursing home (NH) residents with dementia. In healthcare claims, options include claims-based diagnosis algorithms, diagnosis indicators, and cognitive function measures in the Minimum Data Set (MDS), but few studies have compared these. We evaluated the proportion of NH residents identified with possible dementia and concordance of these three.

METHODS

Using a 20% random sample of 2018-2019 Medicare beneficiaries, we identified MDS admission assessments for non-skilled NH stays among individuals with continuous enrollment in Medicare Parts A, B, and D. Dementia was identified using: (1) Chronic Conditions Warehouse (CCW) claims-based algorithm for Alzheimer's disease and non-Alzheimer's dementia; (2) MDS active diagnosis indicators for Alzheimer's disease and non-Alzheimer's dementias; and (3) the MDS Cognitive Function Scale (CFS) (at least mild cognitive impairment). We compared the proportion of admissions with evidence of possible dementia using each criterion and calculated the sensitivity, specificity, and agreement of the CCW claims definition and MDS indicators for identifying any impairment on the CFS.

RESULTS

Among 346,013 non-SNF NH admissions between 2018 and 2019, 57.2% met criteria for at least one definition (44.7% CFS, 40.7% CCW algorithm, 26.0% MDS indicators). The MDS CFS uniquely identified the greatest proportion with evidence of dementia. The CCW claims algorithm had 63.7% sensitivity and 78.1% specificity for identifying any cognitive impairment on the CFS. Active diagnosis indicators from the MDS had lower sensitivity (47.0%), but higher specificity (91.0%).

CONCLUSIONS

Claims- and MDS-based methods for identifying NH residents with possible dementia have only partial overlap in the cohorts they identify, and neither is an obvious gold standard. Future studies should seek to determine whether additional functional assessments from the MDS or prescriptions can improve identification of possible dementia in this population.

Antidementia Medication Use in Nursing Home Residents

BACKGROUND

Antidementia medication can provide symptomatic improvements in patients with Alzheimer's disease, but there is a lack of consensus guidance on when to start and stop treatment in the nursing home setting.

METHODS

We describe utilization patterns of cholinesterase inhibitors (ChEI) and memantine for 3,50,197 newly admitted NH residents with dementia between 2011 and 2018.

RESULTS

Overall, pre-admission use of antidementia medications declined from 2011 to 2018 (ChEIs: 44.5% to 36.9%; memantine: 27.4% to 23.2%). Older age, use of a feeding tube, and greater functional dependency were associated with lower odds of ChEI initiation. Coronary artery disease, parenteral nutrition, severe aggressive behaviors, severe cognitive impairment, and high functional dependency were associated with discontinuation of ChEIs. Comparison of clinical factors related to anti-dementia drug treatment changes from pre to post NH admission in 2011 and 2018 revealed a change toward lower likelihood of initiation of treatment among residents with more functional dependency and those with indicators of more complex illness as well as a change toward higher likelihood of discontinuation in residents having 2 or more hospital stays.

CONCLUSIONS

These prescribing trends highlight the need for additional research on the effects of initiating and discontinuing antidementia medications in the NH to provide clear guidance for clinicians when making treatment decisions for individual residents.

Validating claims-based definitions for deprescribing: Bridging the gap between clinical and administrative data

BACKGROUND

Limited research has evaluated the validity of claims-based definitions for deprescribing.

OBJECTIVES

Evaluate the validity of claims-based definitions of deprescribing against electronic health records (EHRs) for deprescribing of benzodiazepines (BZDs) after a fall-related hospitalization.

METHODS

We used a novel data linkage between Medicare fee-for-service (FFS) and Part D with our health system's EHR. We identified patients aged ≥66 years with a fall-related hospitalization, continuous enrollment in Medicare FFS and Part D for 6 months pre- and post-hospitalization, and ≥2 BZD fills in the 6 months pre-hospitalization. Using a standardized EHR abstraction tool, we adjudicated deprescribing for a sub-sample with a fall-related hospitalization at UNC. We evaluated the validity of claims-based deprescribing definitions (e.g., gaps in supply, dosage reductions) versus chart review using sensitivity and specificity.

RESULTS

Among 257 patients in the overall sample, 44% were aged 66-74 years, 35% had Medicare low-income subsidy, 79% were female. Among claims-based definitions using gaps in supply, the prevalence of BZD deprescribing ranged from 8.2% (no refills) to 36.6% (30-day gap). When incorporating dosage, the prevalence ranged from 55.3% to 65.8%. Among the validation sub-sample (n = 47), approximately one-third had BZDs deprescribed in the EHR. Compared to EHR, gaps in supply from claims had good sensitivity, but poor specificity. Incorporating dosage increased sensitivity, but worsened specificity.

CONCLUSIONS

The sensitivity of claims-based definitions for deprescribing of BZDs was low; however, the specificity of a 90-day gap was >90%. Replication in other EHRs and for other low-value medications is needed to guide future deprescribing research.

The risk of bone fractures in dementia patients receiving acetylcholinesterase inhibitors: a meta-analysis

Aim

The authors aimed to conduct a meta-analysis to determine if acetylcholinesterase inhibitors may pose a direct threat, increasing the incidence of fractures in dementia patients.

Methods

PubMed, Scopus, and Cochrane Library were searched. Inclusion criteria were any original studies that demonstrated the link between acetylcholinesterase inhibitors and the incidence of fracture in patients with dementia. RevMan(5.4) was used.

Results

Seven observational studies were included. The total number of patients included in the acetylcholinesterase inhibitors group is 274 332 and 290 347 in the control group. The pooled analysis showed that the risk of bone fracture was not statistically different between dementia patients who received acetylcholinesterase inhibitors and those who did not receive them (odds ratio=1.44, CI 0.95, 2.19, P=0.09). Subgroup analysis showed no statistically significant difference between dementia patients who took acetylcholinesterase inhibitors, and those who didn't take acetylcholinesterase inhibitors in those more than or equal to 80 years old and those less than 80 years old (P=0.44) and (P=0.34) respectively. However, our results showed a statistically significant association between dementia patients who received acetylcholinesterase inhibitors and decreased fracture risk in those receiving the treatment for more than or less than 2 years (risk ratio=0.48, CI= 0.45, 0.51, P<0.00001) and (risk ratio=0.84, CI 0.70, 0.99, P=0.04), respectively.

Conclusion

Our study revealed no role for acetylcholinesterase inhibitors in increasing the risk of fracture compared with controls. Hence, based on our analysis, they might have a protective role against fracture when used for long periods considering their positive action on bone growth and development. Therefore, Acetylcholinesterase inhibitors could be considered a safe option for improving cognitive functions in elderly demented patients without carrying any additional risks.

Anti-dementia drugs: what is the evidence in advanced stages?

Dementia is a major public health concern due to its increasing prevalence, substantial caregiver burden, and high financial costs. Currently, the anti-dementia drugs aim only at a symptomatic effect. The subject of prescribing these drugs in advanced stages is a matter of considerable debate, with different countries making distinct recommendations. In this review article, we analyzed the evidence regarding cognitive and functional outcomes, adverse events, health-related costs, and caregiver burden in patients with advanced Alzheimer disease (AD) and mixed dementia. We included 35 studies. Most studies are heterogeneous, focus exclusively on AD, and show small benefits in terms of cognitive and functional scales. The overall evidence seems to suggest a benefit in introducing or maintaining anti-dementia drugs in patients with advanced dementia, but clinical meaningfulness is difficult to ascertain. The issue of costs and caregiver burden is significantly underexplored in this field but also seems to favor treatment continuation, despite a reduced overall effect. The decision of introducing or withdrawing anti-dementia drugs in advanced stages of dementia should be individualized. Future studies with homogeneous designs and outcomes are warranted.

Changes in Antidementia Medications upon Admission to the Nursing Home: Who Decides and Why? Results From a National Survey of Nursing Home Administrators

OBJECTIVE

Little is known about who is involved and what factors influence changes in antidementia medications for older adults living in nursing homes. The study sought to describe factors associated with initiation and discontinuation of antidementia medications in nursing home residents with dementia.

DESIGN

National survey of nursing homes with ≥30 beds; homes with dementia units were oversampled.

SETTINGS AND PARTICIPANTS

Nursing home administrators [eg, Directors of Nursing (DoNs)].

METHODS

In 2022, 1293 homes were surveyed (response rate: 26.6%, n = 340). Weighted analyses provided nationally representative results corrected for nonresponse (n = 14,455).

RESULTS

DoNs reported that people always/almost always involved in antidementia medication decisions included nursing home prescriber (84.4%), nursing staff (33.2%), family (23.4%), resident (13.8%), community primary care provider (12.1%), and dementia specialist (5.8%). DoNs reported that antidementia medications were much more likely to be initiated if residents (55.8%) and family members (53.2%) wanted antidementia medications, a dementia specialist was involved (51.9%), resident had aggressive behaviors (44.8%), resisted care (31.6%), or had severe physical/cognitive impairment (22.3%). DoNs reported that antidementia medications were much more likely to be discontinued with dementia specialist involvement (46.5%), progression to severe impairment (39.2%), hospice involvement (31.5%), <6 months' prognosis (28.5%), emergence of aggressive behaviors (25.2%), or resisting care (19.0%) and much less likely to be discontinued if residents (30.2%) and family (27.3%) were reluctant to discontinue. One in 6 homes reported that residents had no immediate family/caregivers usually or almost always/always.

CONCLUSIONS AND IMPLICATIONS

DoNs report that family/caregivers and dementia specialists have significant influence on antidementia medication decisions in nursing homes, but many residents lack their involvement. Real-world evidence on the risks and benefits of antidementia medications in nursing homes is needed to inform clinical guidance about appropriate use of antidementia medications in nursing homes.

Reducing unplanned hospital admissions from care homes: a systematic review

Background

Care homes predominantly care for older people with complex health and care needs, who are at high risk of unplanned hospital admissions. While often necessary, such admissions can be distressing and provide an opportunity cost as well as a financial cost.

Objectives

Our objective was to update a 2014 evidence review of interventions to reduce unplanned admissions of care home residents. We carried out a systematic review of interventions used in the UK and other high-income countries by synthesising evidence of effects of these interventions on hospital admissions; feasibility and acceptability; costs and value for money; and factors affecting applicability of international evidence to UK settings.

Data sources

We searched the following databases in December 2021 for studies published since 2014: Cochrane Central Register of Controlled Trials and Cochrane Database of Systematic Reviews; Cumulative Index to Nursing and Allied Health Literature; Health Management Information Consortium; Medline; PsycINFO; Science and Social Sciences Citation Indexes; Social Care Online; and Social Service Abstracts. 'Grey' literature (January 2022) and citations were searched and reference lists were checked.

Methods

We included studies of any design reporting interventions delivered in care homes (with or without nursing) or hospitals to reduce unplanned hospital admissions. A taxonomy of interventions was developed from an initial scoping search. Outcomes of interest included measures of effect on unplanned admissions among care home residents; barriers/facilitators to implementation in a UK setting and acceptability to care home residents, their families and staff. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. We used published frameworks to extract data on intervention characteristics, implementation barriers/facilitators and applicability of international evidence. We performed a narrative synthesis grouped by intervention type and setting. Overall strength of evidence for admission reduction was assessed using a framework based on study design, study numbers and direction of effect.

Results

We included 124 publications/reports (30 from the UK). Integrated care and quality improvement programmes providing additional support to care homes (e.g. the English Care Homes Vanguard initiatives and hospital-based services in Australia) appeared to reduce unplanned admissions relative to usual care. Simpler training and staff development initiatives showed mixed results, as did interventions aimed at tackling specific problems (e.g. medication review). Advance care planning was key to the success of most quality improvement programmes but do-not-hospitalise orders were problematic. Qualitative research identified tensions affecting decision-making involving paramedics, care home staff and residents/family carers. The best way to reduce end-of-life admissions through access to palliative care was unclear in the face of inconsistent and generally low-quality evidence.

Conclusions

Effective implementation of interventions at various stages of residents' care pathways may reduce unplanned admissions. Most interventions are complex and require adaptation to local contexts. Work at the interface between health and social care is key to successful implementation.

Limitations

Much of the evidence identified was of low quality because of factors such as uncontrolled study designs and small sample size. Meta-analysis was not possible.

Future work

We identified a need for improved economic evidence and the evaluation of integrated care models of the type delivered by hospital-based teams. Researchers should carefully consider what is realistic in terms of study design and data collection given the current context of extreme pressure on care homes.

Study registration

This study is registered as PROSPERO database CRD42021289418.

Funding

This project was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (award number NIHR133884) and will be published in full in Health and Social Care Delivery Research; Vol. 11, No. 18. See the NIHR Journals Library website for further project information.

Deprescribing research in nursing home residents using routinely collected healthcare data: a conceptual framework

BACKGROUND

Efforts are needed to strengthen evidence and guidance for appropriate deprescribing for older nursing home (NH) residents, who are disproportionately affected by polypharmacy and inappropriate prescribing. Given the challenges of conducting randomized drug withdrawal studies in this population, data from observational studies of routinely collected healthcare data can be used to identify patients who are apparent candidates for deprescribing and evaluate subsequent health outcomes. To improve the design and interpretation of observational studies examining determinants, risks, and benefits of deprescribing specific medications in older NH residents, we sought to propose a conceptual framework of the determinants of deprescribing in older NH residents.

METHODS

We conducted a scoping review of observational studies examining patterns and potential determinants of discontinuing or de-intensifying (i.e., reducing) medications for NH residents. We searched PubMed through September 2021 and included studies meeting the following criteria: conducted among adults aged 65 + in the NH setting; (2) observational study designs; (3) discontinuation or de-intensification as the primary outcome with key determinants as independent variables. We conceptualized deprescribing as a behavior through a social-ecological lens, potentially influenced by factors at the intrapersonal, interpersonal, organizational, community, and policy levels.

RESULTS

Our search in PubMed identified 250 potentially relevant studies published through September 2021. A total of 14 studies were identified for inclusion and were subsequently synthesized to identify and group determinants of deprescribing into domains spanning the five core social-ecological levels. Our resulting framework acknowledges that deprescribing is strongly influenced by intrapersonal, patient-level clinical factors that modify the expected benefits and risks of deprescribing, including index condition attributes (e.g., disease severity), attributes of the medication being considered for deprescribing, co-prescribed medications, and prognostic factors. It also incorporates the hierarchical influences of interpersonal differences relating to healthcare providers and family caregivers, NH facility and health system organizational structures, community trends and norms, and finally healthcare policies.

CONCLUSIONS

Our proposed framework will serve as a useful tool for future studies seeking to use routinely collected healthcare data sources and observational study designs to evaluate determinants, risks, and benefits of deprescribing for older NH residents.

Therapeutic dilemmas: cognitive enhancers and risk of falling in older adults-a clinical review

PURPOSE

Cognitive enhancers are the primary pharmacological therapy prescribed to those with dementia, comprising of memantine and the acetylcholinesterase inhibitors (AChEIs). The long-term cognitive and behavioural benefits of these medications, as well as their potential contribution to falls is currently debated, with recent Delphi studies being unable to reach consensus on whether these medications should be deprescribed. In this narrative clinical review, as part of a series on deprescribing in people at risk of falls, we explore the potential falls-related side effects experienced in people taking cognitive enhancers, alongside situations where deprescribing may be appropriate.

METHODS

We undertook a literature search of PubMed and Google Scholar, using terms capturing falls and cognitive enhancers, as well as consulting the British National Formulary and published Summary of Medicinal Product Characteristics. These searches informed the subsequent clinical review.

RESULTS

Cognitive enhancers should be subject to regular review, including confirmation of appropriate treatment indication, and occurrence of side effects in the context of falls. AChEIs, in particular, are associated with a broad range of side effects that can contribute to increased falls risk. These include bradycardia, syncope and neuromuscular effects. Where these have been identified, deprescribing should be considered, as well as alternative treatment options. Deprescribing studies have shown mixed results, likely due to considerable methodological heterogeneity. Several suggested guidelines exist to aid deprescribing decisions, many of which are highlighted in this review.

CONCLUSIONS

The use of cognitive enhancers should be regularly reviewed and decisions to deprescribe made on a case-by-case basis, considering both the risks and benefits of stopping these medications.

Anticholinergic co-prescribing in nursing home residents using cholinesterase inhibitors: Potential deprescribing cascade

BACKGROUND

Polypharmacy may result from inappropriate prescribing of medications to treat adverse drug reactions (ADRs), i.e., "prescribing cascade." A potentially harmful prescribing cascade affecting those with severe dementia can result when anticholinergics are prescribed to manage side effects of cholinesterase inhibitors (ChEIs). We investigated 1) factors associated with co-prescribing of anticholinergics and ChEIs and 2) whether discontinuation of ChEIs was associated with subsequent discontinuation of anticholinergics-a potentially beneficial reversal or "deprescribing cascade."

METHODS

We conducted a retrospective analysis of linked Medicare Part A/B/D claims, Master Beneficiary Summary File, Minimum Data Set, Area Health Resource File, and Nursing Home Compare from 2015 to 2016. Subjects were Medicare beneficiaries residing in nursing homes, ≥65 years old with severe dementia admitted for non-skilled stays, who were prescribed ChEIs. Cross-sectional analysis evaluated factors associated with co-prescribing of anticholinergics with ChEIs. Longitudinal Cox proportional hazards regression examined whether discontinuation of ChEIs was associated with subsequent discontinuation of anticholinergics over a 1-year period.

RESULTS

We found 15% of our sample experienced co-prescribing of anticholinergics and ChEIs. Several resident and facility-level factors were associated with co-prescribing anticholinergics. Advancing age, minority race or ethnicity, end-stage renal disease, heart failure, and poor appetite were associated with a decreased likelihood of co-prescribing. Female sex, polypharmacy, and non-geriatric prescriber-type were associated with a higher likelihood of co-prescribing. In longitudinal analyses, we observed that discontinuation of ChEIs was associated with a reduced likelihood (HR 0.58 [95% CI, 0.47-0.71]) of discontinuing any medications with anticholinergic properties, except for bladder antimuscarinics (HR 1.32 [95% CI, 0.83-2.09]).

CONCLUSIONS

Younger, healthier older adults with dementia were more likely to experience co-prescribing anticholinergics and ChEIs. Discontinuation of anticholinergics was infrequent. Further research is needed to understand prescribers' ability to recognize and reverse potential prescribing cascades through deprescribing.

Barriers and enablers to deprescribing in long-term care facilities: a 'best-fit' framework synthesis of the qualitative evidence

INTRODUCTION

older adults are at risk of adverse outcomes due to a high prevalence of polypharmacy and potentially inappropriate medications (PIMs). Deprescribing interventions have been demonstrated to reduce polypharmacy and PIMs. However, deprescribing is not performed routinely in long-term care facilities (LTCFs). This qualitative evidence synthesis aims to identify the factors which limit and enable health care workers' (HCWs) engagement with deprescribing in LTCFs.

METHODS

the 'best-fit' framework approach was used to synthesise evidence by using the Theoretical Domains Framework (TDF) as the a priori framework. Included studies were analysed qualitatively to identify LTCF barriers and enablers of deprescribing and were mapped to the TDF. Constructs within domains were refined to best represent the LTCF context. A conceptual model was created, hypothesising relationships between barriers and enablers.

RESULTS

of 655 records identified, 14 met the inclusion criteria. The 'best-fit' framework included 17 barriers and 16 enablers, which mapped to 11 of the 14 TDF domains. Deprescribing barriers included perceptions of an 'established hierarchy' within LTCFs, negatively affecting communication and insufficient resources which limited HCWs' engagement with deprescribing. Enablers included tailored deprescribing guidelines, interprofessional support and working with a patient focus, allowing the patients' condition to influence decisions.

DISCUSSION

this study identified that education, interprofessional support and collaboration can facilitate deprescribing. To overcome deprescribing barriers, change is required to a patient-centred model and HCWs need to be equipped with necessary resources and adequate reimbursement. The LTCF organisational structure must support deprescribing, with communication between health care systems.

Differences in Care Provided in Urban and Rural Nursing Homes in the United States: Literature Review

Despite evidence acknowledging disadvantages in care provided to older adults in rural nursing homes (NHs) in the United States, since 2010, no literature review has focused on differences in care provided in urban versus rural NHs. In the current study, we examined these differences by searching U.S. English-language peer-reviewed articles published after 2010 on differences in care quality in urban and rural NHs. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and used the Newcastle-Ottawa Scale for quality appraisal. We conducted full-text abstraction of 56 (of 286) articles, identifying 10 relevant studies. Metric specification of urban/rural location varied, and care quality measures were wide-ranging, making it difficult to interpret evidence. Limited evidence supported that rural NHs, compared to urban NHs, provided sparse mental health support and limited access to hospice care after controlling for facility and resident characteristics. Our review highlights the need for more research examining differences in quality of care between urban and rural NHs and raises several issues in current research examining urban/rural NH differences where future work is needed. [Journal of Gerontological Nursing, 47(12), 48-56.].

Avoiding Adverse Drug Withdrawal Events When Stopping Unnecessary Medications According to the STOPPFrail Criteria

OBJECTIVE

To provide clinicians with information about avoiding adverse drug withdrawal events (ADWEs) when discontinuing unnecessary medications as per the STOPPFrail criteria.

DATA SOURCES

Searches of MEDLINE (1970-June 2020), the Cochrane Database of Systematic Reviews (through June 2020), Google Scholar (through June 2020).

STUDY SELECTION

Reviews and original studies of ADWEs.

DATA EXTRACTION

Tapering protocols for specific drugs/ classes from randomized controlled deprescribing trials.

DATA SYNTHESIS

Six drug classes were identified as being high risk for physiological ADWEs.

CONCLUSION

The occurrence of ADWEs is rare in comparison to adverse drug reactions in older adults. Few drugs/classes have been reported to have physiological ADWEs with abrupt discontinuation. For these we provide information about tapering protocols and symptom monitoring to avoid ADWEs.

Antihypertensive Deprescribing in Older Adult Veterans at End of Life Admitted to Veteran Affairs Nursing Homes

OBJECTIVES

Geriatric palliative care approaches support deprescribing of antihypertensives in older nursing home (NH) residents with limited life expectancy and/or advanced dementia (LLE/AD) who are intensely treated for hypertension (HTN), but information on real-world deprescribing patterns in this population is limited. We examined the incidence and factors associated with antihypertensive deprescribing.

DESIGN

National, retrospective cohort study.

SETTING AND PARTICIPANTS

Older Veterans with LLE/AD and HTN admitted to VA NHs in fiscal years 2009-2015 with potential overtreatment of HTN at admission, defined as receiving at least 1 antihypertensive class of medications and mean daily systolic blood pressure (SBP) <120 mm Hg.

MEASURES

Deprescribing was defined as subsequent dose reduction or discontinuation of an antihypertensive for ≥7 days. Competing risk models assessed cumulative incidence and factors associated with deprescribing.

RESULTS

Within our sample (n = 10,574), cumulative incidence of deprescribing at 30 days was 41%. Veterans with the greatest level of overtreatment (ie, multiple antihypertensives and SBP <100 mm Hg) had an increased likelihood (hazard ratio 1.75, 95% confidence interval 1.59, 1.93) of deprescribing vs those with the lowest level of overtreatment (ie, one antihypertensive and SBP ≥100 to <120 mm Hg). Several markers of poor prognosis (ie, recent weight loss, poor appetite, dehydration, dependence for activities of daily living, pain) and later admission year were associated with increased likelihood of deprescribing, whereas cardiovascular risk factors (ie, diabetes, congestive heart failure, obesity), shortness of breath, and admission source from another NH or home/assisted living setting (vs acute hospital) were associated with decreased likelihood.

CONCLUSIONS AND IMPLICATIONS

Real-world deprescribing patterns of antihypertensives among NH residents with HTN and LLE/AD appear to reflect variation in recommendations for HTN treatment intensity and individualization of patient care in a population with potential overtreatment. Factors facilitating deprescribing included treatment intensity and markers of poor prognosis. Comparative effectiveness and safety studies are needed to guide clinical decisions around deprescribing and HTN management.