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.

Patterns and disparities in prescribing of opioids and benzodiazepines for older adults in North Carolina.

BACKGROUND: We characterized real-world prescribing patterns of opioids and benzodiazepines (BZDs) for older adults to explore potential disparities by race and sex and to characterize patterns of co-prescribing. METHODS: A retrospective evaluation was conducted using electronic health data for adults ≥65 years old who presented to one of 15 primary care practices between 2019 and 2020 (n = 25,141). Chronic opioid and BZD users had ≥4 prescriptions in the year prior, with at least one in the last 90 or 180 days, respectively. We compared demographic characteristics between all older adults versus chronic opioid and BZD users. We used logistic regression to identify characteristics (age, sex, race, Medicaid use, fall history) associated with opioid and BZD co-prescribing. RESULTS: We identified 833 (3.3%) chronic opioid and 959 chronic BZD users (3.8%) among all older adults seen in these practices. Chronic opioid users were less likely to be Black (12.7% vs. 14.3%) or other non-White race (1.4% vs. 4.3%), but more likely to be women (66.8% vs. 61.3%). A similar trend was observed for BZD users, with less prescribing among Black (5.4% vs. 14.3%) and other races (2.2% vs. 4.3%) older adults and greater prescribing among women (73.6% vs. 61.3%). Co-prescribing was observed among 15% of opioid users and 13% of BZD users. Co-prescribing was largely driven by the presence of relevant co-morbid conditions including chronic pain, anxiety, and insomnia rather than demographic characteristics. CONCLUSIONS: We observed notable disparities in opioid and BZD prescribing by sex and race among older adults in primary care. Future research should explore if such patterns reflect appropriate prescribing or are due to disparities in prescribing driven by biases related to perceived risks for misuse.

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.

Incidence of and predictors for antiseizure medication gaps in Medicare beneficiaries with epilepsy: a retrospective cohort study.

BACKGROUND: For the two-thirds of patients with epilepsy who achieve seizure remission on antiseizure medications (ASMs), patients and clinicians must weigh the pros and cons of long-term ASM treatment. However, little work has evaluated how often ASM discontinuation occurs in practice. We describe the incidence of and predictors for sustained ASM fill gaps to measure discontinuation in individuals potentially eligible for ASM withdrawal. METHODS: This was a retrospective cohort of Medicare beneficiaries. We included patients with epilepsy by requiring International Classification of Diseases codes for epilepsy/convulsions plus at least one ASM prescription each year 2014-2016, and no acute visit for epilepsy 2014-2015 (i.e., potentially eligible for ASM discontinuation). The main outcome was the first day of a gap in ASM supply (30, 90, 180, or 360 days with no pills) in 2016-2018. We displayed cumulative incidence functions and identified predictors using Cox regressions. RESULTS: Among 21,819 beneficiaries, 5191 (24%) had a 30-day gap, 1753 (8%) had a 90-day gap, 803 (4%) had a 180-day gap, and 381 (2%) had a 360-day gap. Predictors increasing the chance of a 180-day gap included number of unique medications in 2015 (hazard ratio [HR] 1.03 per medication, 95% confidence interval [CI] 1.01-1.05) and epileptologist prescribing physician (≥25% of that physician's visits for epilepsy; HR 2.37, 95% CI 1.39-4.03). Predictors decreasing the chance of a 180-day gap included Medicaid dual eligibility (HR 0.75, 95% CI 0.60-0.95), number of unique ASMs in 2015 (e.g., 2 versus 1: HR 0.37, 95% CI 0.30-0.45), and greater baseline adherence (> 80% versus ≤80% of days in 2015 with ASM pill supply: HR 0.38, 95% CI 0.32-0.44). CONCLUSIONS: Sustained ASM gaps were rarer than current guidelines may suggest. Future work should further explore barriers and enablers of ASM discontinuation to understand the optimal discontinuation rate.

Patterns of oral bisphosphonate deprescribing in older nursing home residents with dementia.

In a national sample of Medicare nursing home residents with dementia treated with bisphosphonates, 20% had bisphosphonates deprescribed. Residents with clinical characteristics representing decreased likelihood for long-term benefit were more likely to have bisphosphonates deprescribed. Future studies are needed to evaluate outcomes of deprescribing bisphosphonates in this population. INTRODUCTION: To determine incidence of deprescribing bisphosphonates among nursing home (NH) residents with dementia and identify factors associated with deprescribing. METHODS: 2015-2016 Medicare claims, Part D prescriptions, Minimum Data Set (MDS) 3.0, and Nursing Home Compare for non-skilled NH residents aged 65 + with dementia and prescriptions for oral bisphosphonates overlapping the first 14 days of the stay. Our primary definition for deprescribing was a 90-day gap in medication supply; we also explored the reliability of different deprescribing definitions (30-, 90-, 180-day gaps). We estimated associations of NH, provider, and resident characteristics with deprescribing bisphosphonates using competing risks regression models. RESULTS: Most NH residents with dementia treated with bisphosphonates (n = 5312) were ≥ 80 years old (72%), white (81%), and female (90%); about half were dependent for transfers (50%) or mobility (45%). Using a 90-day gap in supply, the 180-day cumulative incidence of deprescribing bisphosphonates was 14.8%. This increased to 32.1% using a 30-day gap and decreased to 11.7% using a 180-day gap. Factors associated with increased likelihood for bisphosphonate deprescribing were age ≥ 90 years, newly admitted (vs. prevalent stay), dependent for mobility, swallowing difficulty, > 1 hospitalization in the prior year, CCRC facility, and nurse practitioner primary provider (vs. physician). Cancer and western geographic region were associated with reduced likelihood for deprescribing. CONCLUSION: In a national sample of NH residents with dementia, bisphosphonate deprescribing was uncommon, and associated with clinical characteristics signifying poor prognosis and decreased likelihood for long-term benefit. Future studies should evaluate clinical outcomes of deprescribing bisphosphonates in this population.

Caregiver and provider perspectives on dual VA and Medicare Part D medication use in veterans with suspected dementia or cognitive impairment.

PURPOSE: Many older veterans with dementia fill prescriptions through both Veterans Affairs (VA) and Medicare Part D benefits. Dual VA/Part D medication use may have unintended negative consequences in terms of prescribing safety and quality. We aimed to characterize benefits and drawbacks of dual VA/Part D medication use in veterans with dementia or cognitive impairment from the perspectives of caregivers and providers. METHODS: This was a qualitative study based on semistructured telephone interviews of 2 groups: (1) informal caregivers accompanying veterans with suspected dementia or cognitive impairment to visits at a VA Geriatric Evaluation and Management clinic (n = 11) and (2) VA healthcare providers of veterans with dementia who obtained medications via VA and Part D (n = 12). We conducted semistructured telephone interviews with caregivers and providers about benefits and drawbacks of dual VA/Part D medication use. Interview transcripts were subjected to qualitative content analysis to identify key themes. RESULTS: Caregivers and providers both described cost and convenience benefits to dual VA/Part D medication use. Caregivers reported drawbacks including poor communication between VA and non-VA providers and difficulty managing medications from multiple systems. Providers reported potential safety risks including communication barriers, conflicting care decisions, and drug interactions. CONCLUSION: Results of this study allow for understanding of potential policy interventions to better manage dual VA/Part D medication use for older veterans with dementia or cognitive impairment at a time when VA is expanding access to non-VA care.

Are Nursing Home Residents With Dementia Appropriately Treated for Fracture Prevention?

Clinicians struggle with whether to prescribe osteoporosis medications for fracture prevention for older nursing home (NH) residents with dementia, given the lack of evidence in this population. To better understand real-world clinical practice, we conducted a retrospective cohort study examining patterns of fracture prevention medication use for older NH residents with dementia and high fracture risk. Data sources included 2015-16 Medicare claims, Part D prescriptions, and Minimum Data Set (MDS) assessments. Among NH residents aged 65+ with dementia and prior fracture or high fracture risk based on the MDS FRAiL (Fracture Risk Assessment in Long-term care), we assessed medications for fracture prevention using prescription data from 1 year prior through 90 days after the first MDS assessment. Multivariable logistic regression was used to evaluate factors associated with receiving treatment. Most of the sample (n = 72,639) was >80 years (78%), female (82%), and white (88%); 63% had moderate/severe dementia and 60% had an osteoporosis diagnosis. Only 11.6% received fracture prevention medications. In adjusted analyses, treated residents were more likely to be female, Hispanic or other non-black minority, <90 years old, and newly admitted to the NH. Other associated factors included osteoporosis diagnosis, walker or wheelchair use, bone disorders (eg, Paget disease), >5 medications, steroid or proton pump inhibitor use, and regions outside of the Northeast. Resident characteristics suggestive of comorbidity burden and worsening dementia were associated with reduced likelihood of treatment. Low use of fracture prevention medications for NH residents with dementia may reflect an attempt by prescribers reconcile medication use with changing goals of care, or inappropriate underuse in patients who still have high fracture risk. Additional research is needed to help clinicians better evaluate when to use these medications in this heterogeneous and vulnerable population.

Impact of deprescribing AChEIs on aggressive behaviors and antipsychotic prescribing.

INTRODUCTION: We evaluated the impact of deprescribing acetylcholinesterase inhibitors (AChEIs) on aggressive behaviors and incident antipsychotic use in nursing home (NH) residents with severe dementia. METHODS: We conducted a retrospective study of Medicare claims, Part D, Minimum Data Set for NH residents aged 65+ with severe dementia receiving AChEIs in 2016. Aggressive behaviors were measured using the aggressive behavior scale (ABS; n = 30,788). Incident antipsychotic prescriptions were evaluated among antipsychotic non-users (n = 25,188). Marginal structural models and inverse probability of treatment weights were used to evaluate associations of AChEI deprescribing and outcomes. RESULTS: The severity of aggressive behaviors was low at baseline (mean ABS = 0.5) and was not associated with deprescribing AChEIs (0.002 increase in ABS, P = .90). Incident antipsychotic prescribing occurred in 5.1% of residents and was less likely with AChEI deprescribing (adjusted odds ratio = 0.52 [0.40-0.68], P <.001]). DISCUSSION: Deprescribing AChEIs was not associated with a worsening of aggressive behaviors or incident antipsychotic prescriptions.

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

BACKGROUND/OBJECTIVE: Reevaluation of the appropriateness of acetylcholinesterase inhibitors (AChEIs) is recommended in older adults with severe dementia, given the lack of strong evidence to support their continued effectiveness and risk for medication-induced adverse events. We sought to evaluate the impact of deprescribing AChEIs on risk of all-cause events (hospitalizations, emergency department visits, and mortality) and serious falls or fractures in older nursing home (NH) residents with severe dementia. DESIGN: Analysis of 2015 to 2016 data from Medicare claims, Part D prescriptions, Minimum Data Set (MDS) version 3.0, Area Health Resource File, and Nursing Home Compare. Marginal structural models with inverse probability of treatment weights were used to evaluate the association of deprescribing AChEIs and all-cause negative events as well as serious falls or fractures. SETTING: US Medicare-certified NHs. PARTICIPANTS: Nonskilled NH residents, aged 65 years and older, with severe dementia receiving AChEIs within the first 14 days of an MDS assessment in 2016 (n = 37 106). RESULTS: The sample was primarily white (78.7%), female (75.5%), and aged 80 years or older (77.4%). Deprescribing AChEIs was associated with an increased likelihood of all-cause negative events in unadjusted models (odds ratio [OR] = 1.17; 95% confidence interval [CI] = 1.11-1.23; P < .01), but not in fully adjusted models (adjusted OR [aOR] = 1.00; 95% CI = 0.94-1.06; P = .94). By contrast, deprescribing was associated with a reduced likelihood of serious falls or fractures in unadjusted models (OR = 0.59; 95% CI = 0.52-0.66; P < .001) and remained significant in adjusted models (aOR = 0.64; 95% CI = 0.56-0.73; P < .001). CONCLUSION: Deprescribing AChEIs was not associated with a significant increase in the likelihood for all-cause negative events and was associated with a reduced likelihood of falls and fractures in older NH residents with dementia. Our findings suggest that deprescribing AChEIs is a reasonable approach to reduce the risk of serious falls or fractures without increasing the risk for all-cause events. J Am Geriatr Soc 68:699-707, 2020.

Factors Associated With Deprescribing Acetylcholinesterase Inhibitors in Older Nursing Home Residents With Severe Dementia.

BACKGROUND/OBJECTIVE: Uncertainty regarding benefits and risks associated with acetylcholinesterase inhibitors (AChEIs) in severe dementia means providers do not know if and when to deprescribe. We sought to identify which patient-, provider-, and system-level characteristics are associated with AChEI discontinuation. DESIGN: Analysis of 2015 to 2016 data from Medicare claims, Part D prescriptions, Minimum Data Set (MDS), version 3.0, Area Health Resource File, and Nursing Home Compare. Cox-proportional hazards models with time-varying covariates were used to identify patient-, provider-, and system-level factors associated with AChEI discontinuation (30-day or more gap in supply). SETTING: US Medicare-certified nursing homes (NHs). PARTICIPANTS: Nonskilled NH residents, aged 65 years and older, with severe dementia receiving AChEIs within the first 14 days of an MDS assessment in 2016 (n = 37 106). RESULTS: The sample was primarily white (78.7%), female (75.5%), and aged 80 years or older (77.4%). The most commonly prescribed AChEIs were donepezil (77.8%), followed by transdermal rivastigmine (14.6%). The cumulative incidence of AChEI discontinuation was 29.7% at the end of follow-up (330 days), with mean follow-up times of 194 days for continuous users of AChEIs and 105 days for those who discontinued. Factors associated with increased likelihood of discontinuation were new admission, older age, difficulty being understood, aggressive behavior, poor appetite, weight loss, mechanically altered diet, limited prognosis designation, hospitalization in 90 days prior, and northeastern region. Factors associated with decreased likelihood of discontinuation included memantine use, use of strong anticholinergics, polypharmacy, rurality, and primary care prescriber vs geriatric specialist. CONCLUSION: Among NH residents with severe dementia being treated with AChEIs, the cumulative incidence of AChEI discontinuation was just under 30% at 1 year of follow-up. Our findings provide insight into potential drivers of deprescribing AChEIs, identify system-level barriers to deprescribing, and help to inform covariates that are needed to address potential confounding in studies evaluating the potential risks and benefits associated with deprescribing. J Am Geriatr Soc 67:1871-1879, 2019.

Characteristics of dual drug benefit use among veterans with dementia enrolled in the Veterans Health Administration and Medicare Part D.

BACKGROUND: Obtaining prescription medications from multiple health systems may complicate coordination of care. Older Veterans who obtain medications concurrently through Veterans Affairs (VA) benefits and Medicare Part D benefits (dual users) are at higher risk of unintended negative outcomes. OBJECTIVE: To explore characteristics predicting dual drug benefit use from both VA and Medicare Part D in a national sample of older Veterans with dementia. METHODS: Administrative data were obtained from the VA and Medicare for a national sample of 110,828 Veterans with dementia ages 68 and older in 2010. Veterans were classified into three drug benefit user groups based on the source of all prescription medications they obtained in 2010: VA-only, Part D-only, and Dual Use. Multinomial logistic regression was used to examine predictors of drug benefit user group. The source of prescriptions was described for each of the ten most frequently used drug classes and opioids. RESULTS: Fifty-six percent of Veterans received all of their prescription medications from VA-only, 28% from Part D-only, and 16% from both VA and Part D. Veterans who were eligible for Medicaid or who had a priority group score conferring less generous drug benefits within the VA were more likely to be Part D-only or dual users. Nearly one fourth of Veterans taking opioids concurrently received opioid prescriptions from dual sources (24.7%). CONCLUSIONS: Medicaid eligibility and Veteran priority group status, which largely decrease copayments for drugs obtained outside versus within the VA, respectively, were the main factors predicting drug user benefit group. Policies to encourage single-system prescribing and enhance communication across health systems are crucial to preventing negative health outcomes related to care fragmentation.

Effect of Dual Use of Veterans Affairs and Medicare Part D Drug Benefits on Antihypertensive Medication Supply in a National Cohort of Veterans with Dementia.

OBJECTIVE: To evaluate the effect of dual use of VA/Medicare Part D drug benefits on antihypertensive medication supply in older Veterans with dementia. DATA SOURCES/STUDY SETTING: National, linked 2007-2010 Veterans Affairs (VA) and Medicare utilization and prescription records for 50,763 dementia patients with hypertension. STUDY DESIGN: We used inverse probability of treatment (IPT)-weighted multinomial logistic regression to examine the association of dual prescription use with undersupply and oversupply of antihypertensives. DATA COLLECTION/EXTRACTION METHODS: Veterans Affairs and Part D prescription records were used to classify patients as VA-only, Part D-only, or dual VA/Part D users of antihypertensives and summarize their antihypertensive medication supply in 2010: (1) appropriate supply of all prescribed antihypertensive classes, (2) undersupply of ≥1 class with no oversupply of another class, (3) oversupply of ≥1 class with no undersupply, or (4) both undersupply and oversupply. PRINCIPAL FINDINGS: Dual prescription users were more likely than VA-only users to have undersupply only (aOR = 1.28; 95 percent CI = 1.18-1.39), oversupply only (aOR = 2.38; 95 percent CI = 2.15-2.64), and concurrent under- and oversupply (aOR = 2.89; 95 percent CI = 2.53-3.29), versus appropriate supply of all classes. CONCLUSIONS: Obtaining antihypertensives through both VA and Part D was associated with increased antihypertensive under- and oversupply. Efforts to understand how best to coordinate dual-system prescription use are critically needed.