Dataset Information

Anticholinergic Prescribing in Medicare Part D Beneficiaries Residing in Nursing Homes: Results from a Retrospective Cross-Sectional Analysis of Medicare Data.

ABSTRACT: Prescribing of medications with anticholinergic properties in older nursing home residents is relatively common, despite an association with an increased risk for falls, delirium, and other outcomes. Few studies have investigated what factors influence different levels of prescribing of these agents.The primary objective was to identify factors associated with low- and high-level anticholinergic burden in nursing home residents. A secondary objective was to examine in detail the contribution of different medications to low versus high burden to aid in determining which drugs to target in interventions.This was a retrospective, cross-sectional analysis of a national sample of 2009-2010 Medicare Part A and B claims, Part D prescription drug events, and Minimum Data Set (MDS) v2.0 assessments. The cohort included 4730 Medicare beneficiaries aged ? 65 years with continuous Medicare Parts A, B, and D enrollment, admitted for non-skilled stays of ? 14 days between 1 January 2010 and 30 September 2010. Anticholinergic burden was defined using the Anticholinergic Cognitive Burden (ACB) scale. Medication scores were summed at the patient level and categorized as high (score ? 3), low (score 1-2), or none. Baseline predisposing factors (age, sex, race/ethnicity), enabling factors (prior year hospitalization, emergency department, primary care, specialist visits; region; Medicaid/low-income subsidy), and medical need factors (dementia severity, anti-dementia medication, Charlson co-morbidity index [CCI], select comorbidities) were evaluated for association with anticholinergic burden using multinomial logistic regression.Overall, 29.6% of subjects had a high anticholinergic burden and 35.2% had a low burden. High burden was most often (72%) due to one highly anticholinergic medication rather than a cumulative effect. In adjusted analyses, factors associated with increased risk of both low and high anticholinergic burden included comorbidity, antidementia medication, depression, hypertension, and prior year hospitalization. Older age was associated with decreased odds of high anticholinergic burden. Urinary incontinence and prior year specialist visit were associated with increased odds of high anticholinergic burden. Severe and nonsevere dementia were associated with decreased odds of low burden but increased odds of high burden.Almost two-thirds of nursing home patients have some degree of anticholinergic burden. Several medical need variables are significantly associated with increased risk for low and high anticholinergic burden. Interventions should be developed to optimize prescribing for residents at increased risk of receiving medications with anticholinergic properties. Future study is needed to evaluate the difference in the risk of adverse outcomes associated with various levels of anticholinergic burden.

SUBMITTER: Niznik J

PROVIDER: S-EPMC5734663 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Anticholinergic Prescribing in Medicare Part D Beneficiaries Residing in Nursing Homes: Results from a Retrospective Cross-Sectional Analysis of Medicare Data.

Niznik Joshua J Zhao Xinhua X Jiang Tao T Hanlon Joseph T JT Aspinall Sherrie L SL Thorpe Joshua J Thorpe Carolyn C

Drugs & aging 20171201 12

<h4>Background</h4>Prescribing of medications with anticholinergic properties in older nursing home residents is relatively common, despite an association with an increased risk for falls, delirium, and other outcomes. Few studies have investigated what factors influence different levels of prescribing of these agents.<h4>Objectives</h4>The primary objective was to identify factors associated with low- and high-level anticholinergic burden in nursing home residents. A secondary objective was to ...[more]

PMID: 29214512

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Project description:IntroductionAlthough antimuscarinics form the first-line therapy in overactive bladder (OAB), little is known regarding antimuscarinic discontinuation among OAB patients in nursing homes. This study examined treatment patterns and predictors of antimuscarinic discontinuation among long-term nursing home (LTNH) residents with OAB.MethodsThe study cohort included LTNH residents (defined as residents staying ≥ 101 consecutive days) from the Minimum Data Set linked 2013-2015 Medicare claims data. Patients with OAB were defined by OAB-related claims and medication codes. Treatment patterns and discontinuation (medication gap ≥ 30 days) were characterized by examining OAB-specific antimuscarinics prescribed during LTNH stays. The Andersen Behavioral Model was used to identify predisposing, enabling and need factors that predict discontinuation. Kaplan-Meier curves and multivariable Cox proportional hazards regression model were used to assess the unadjusted and adjusted times to discontinuation, respectively, among different antimuscarinics.ResultsThe mean age of the study cohort (n = 11,012) was 81.6 years (± 8.5), 74.6% were female, and 89.8% were non-Hispanic White. The mean duration of nursing home stay was 530.1 (± 268.4) days. The most commonly prescribed OAB-specific antimuscarinic was oxybutynin (69.8%). Overall, 66.5% of the study cohort discontinued the index antimuscarinic. Multivariable Cox PH regression analysis revealed that compared to LTNH residents who initiated treatment with oxybutynin, treatment discontinuation was lower with solifenacin or fesoterodin and discontinuation was more frequent when treatment was initiated with tolterodine, darifenacin or trospium compared with oxybutynin. In addition, several need factors (comorbidities, medication use and anticholinergic burden, etc.) were associated with antimuscarinic discontinuation.ConclusionAbout two-thirds of LTNH residents with OAB discontinued their index antimuscarinic during their nursing home stay. There was significant variation in discontinuation based on the index antimuscarinic agent with lowest risk of discontiuation with solifenacin and fesoterodin. Concerted efforts to optimize antimuscarinic use are needed to improve the management of OAB in nursing homes.

Project description:Objective: Determine the accuracy of nursing home self-reported antipsychotic prescribing before and after implementation of a Medicare campaign to reduce use.Methods: Quasi-experimental study comparing trends in self-reported antipsychotic prescribing relative to claims-based prescribing. Setting is a nationwide sample of 11,912 facilities, 2011-2013. Participants are long-stay nursing home residents (n?=?586,281) with prescribing data in Medicare Minimum Data Set 3.0 and Medicare Part D claims database. Verified with a pharmacy dispensing database. Main outcomes are the discrepancies in quarterly prevalence of antipsychotic prescribing between nursing home self-reports and claims data and the characteristics of facilities and residents where discrepancies were identified.Results: Nursing homes underreport their antipsychotic prescribing levels, on average, by 1 percentage point per quarter relative to Medicare Part D claims (0.013, 95% confidence interval (CI), 0.012-0.015; p<.001). After the Medicare campaign, the underreporting gap increased by another half a percentage point (0.004, 95% CI .003-.005; p = .012). Nursing home residents with dementia, Alzheimer's disease or bipolar disorders were at the highest risk for underreported antipsychotic prescribing before the campaign (Adjusted Odds ratio (AOR) 1.385, 95% CI: 1.330-1.444; AOR 1.234, 95% CI: 1.172-1.300; AOR 1.574, 95% CI: 1.444-1.716, respectively) and afterwards. After the launch of the Medicare campaign, underreported antipsychotic prescribing occurred most in for-profit nursing homes (AOR 1.088, 95% CI: 1.005-1.178) and facilities in the US South (AOR 1.262, 95% CI: 1.145-1.391). Agreement was high between claims and dispensing data (99.7%).Conclusion: Nursing homes did not identify up to 6,000 residents per calendar quarter as having received antipsychotics despite these prescriptions being paid by Medicare and dispensed by a pharmacy. Nursing home rates of antipsychotic prescribing from self-reported data may be biased.

Project description:Use of opioids during and shortly after an acute hospitalization is warranted in some clinical settings. However, given the potential of opioids for short-term adverse events and long-term physiologic tolerance, it is important to understand the frequency of opioid prescribing at hospital discharge, hospital variation, and patient and hospital factors associated with opioid prescribing, which is currently unknown in the United States.To estimate the frequency of opioid prescribing at hospital discharge among Medicare beneficiaries without an opioid prescription claim 60 days prior to hospitalization; to document hospital variation in prescribing; and to analyze patient and hospital factors associated with prescribing, including hospital average performance on pain-related Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) measures.Analysis of pharmacy claims of a 20% random sample of Medicare beneficiaries hospitalized in 2011 without an opioid prescription claim in the 60 days before hospitalization.Our main outcome was a new opioid claim within 7 days of hospital discharge. We estimated a multivariable linear probability model of patient factors associated with new opioid use and described hospital variation in adjusted rates of new opioid use. In multivariable linear regression analysis, we also analyzed hospital factors associated with average adjusted new opioid use at the hospital level, including the percentage of each hospital's patients who reported that their pain during hospitalization was always well controlled in the 2011 HCAHPS surveys.Among 623?957 hospitalizations, 92?882 (14.9%) were associated with a new opioid claim. Among those hospitalizations with an associated opioid claim within 7 days of hospital discharge, 32?731 (42.5%) of 77?092 were associated with an opioid claim after 90 days postdischarge. Across 2512 hospitals, the average adjusted rate of new opioid use within 7 days of hospitalization was 15.1% (interquartile range, 12.3%-17.4%; interdecile range, 10.5%-20.0%). A hospital's adjusted rate of new opioid use was modestly positively associated with the percentage of its inpatients reporting that their pain was always well managed (increase from 25th to the 75th percentile in the HCAHPS measure was associated with an absolute increase in new opioid use of 0.89 percentage points or a relative increase of 6.0%; P?<?.001).New opioid use after hospitalization is common among Medicare beneficiaries, with substantial variation across hospitals and a large proportion of patients using a prescription opioid 90 days after hospitalization. The degree to which observed hospital variation in short- and longer-term opioid use reflects variation in inappropriate prescribing at hospital discharge is unknown.

Project description:ImportanceIn response to the opioid epidemic, policies aiming to reduce opioid prescribing, misuse, and abuse may have the unintended consequence of restricting access to necessary opioid therapy for cancer-related pain. It is unknown how opioid prescribing patterns have changed among generalists and oncologists during this era.ObjectiveTo examine trends in opioid prescription rates for Medicare Part D beneficiaries from 2013 to 2017 among oncologists and generalists.Design, setting, and participantsThis repeated cross-sectional study of generalist physicians (internal medicine, family medicine, geriatric medicine, general practice) and oncology specialists (medical oncology, hematology-oncology, and radiation oncology) analyzed the Medicare Provider Utilization and Payment Data: Part D prescriber files from 2013 to 2017.ExposuresGeneralist vs oncology specialty.Main outcomes and measuresOutcomes included physician-level rates of both opioid and long-acting opioid prescriptions per 100 Medicare Part D beneficiaries. Poisson regression was used to estimate annual predicted outcome rates and incidence rate ratios, adjusting for prescriber characteristics and state fixed effects.ResultsWe analyzed the prescribing patterns of 251 820 generalists and 14 210 oncologists. From 2013 to 2017, the annual adjusted predicted mean rate of opioid prescriptions per 100 Medicare beneficiaries decreased from 68.2 to 49.7 among generalists (adjusted incidence rate ratio [aIRR] = 0.73; 95% CI, 0.73-0.73) and from 77.8 to 58.8 among oncologists (aIRR = 0.76; 95% CI, 0.74-0.77). The rate of long-acting opioid prescriptions per 100 Medicare beneficiaries also decreased from 8.0 to 5.4 for generalists (aIRR = 0.67; 95% CI, 0.66-0.68) and from 18.6 to 13.3 for oncologists (aIRR = 0.72; 95% CI, 0.69-0.74).Conclusions and relevanceWe found large declines in opioid prescription rates for Medicare beneficiaries by generalists and oncologists from 2013 to 2017. Opioid policy and advocacy appear to have been effective in reducing the extent of opioid prescribing in the Medicare population. Similar declines between generalists and oncologists raise concern that access to cancer pain management may have been inadvertently restricted. How much of the decrease in prescribing by oncologists is appropriate vs inappropriate deserves further investigation.

Dataset Information

Anticholinergic Prescribing in Medicare Part D Beneficiaries Residing in Nursing Homes: Results from a Retrospective Cross-Sectional Analysis of Medicare Data.

Publications

Anticholinergic Prescribing in Medicare Part D Beneficiaries Residing in Nursing Homes: Results from a Retrospective Cross-Sectional Analysis of Medicare Data.

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