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Clinical characteristics associated with the onset of delirium among long-term nursing home residents.

ABSTRACT: Nursing home residents are frail, have multiple medical comorbidities, and are at high risk for delirium. Most of the existing evidence base on delirium is derived from studies in the acute in-patient population. We examine the association between clinical characteristics and medication use with the incidence of delirium during the nursing home stay.This is a retrospective cohort study of 1571 residents from 12 nursing homes operated by a single care provider in Ontario, Canada. Residents were over the age of 55 and admitted between February 2010 and December 2015 with no baseline delirium and a minimum stay of 180 days. Residents with moderate or worse cognitive impairment at baseline were excluded. The baseline and follow-up characteristics of residents were collected from the Resident Assessment Instrument-Minimal Data Set 2.0 completed at admission and repeated quarterly until death or discharge. Multivariate logistic regression was used to identify characteristics and medication use associated with the onset of delirium.The incidence of delirium was 40.4% over the nursing home stay (mean LOS: 32 months). A diagnosis of dementia (OR: 2.54, p?

SUBMITTER: Cheung ENM

PROVIDER: S-EPMC5797375 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Clinical characteristics associated with the onset of delirium among long-term nursing home residents.

Cheung Evelyn Ning Man ENM Benjamin Sophiya S Heckman George G Ho Joanne Man-Wai JM Lee Linda L Sinha Samir K SK Costa Andrew P AP

BMC geriatrics 20180202 1

<h4>Background</h4>Nursing home residents are frail, have multiple medical comorbidities, and are at high risk for delirium. Most of the existing evidence base on delirium is derived from studies in the acute in-patient population. We examine the association between clinical characteristics and medication use with the incidence of delirium during the nursing home stay.<h4>Methods</h4>This is a retrospective cohort study of 1571 residents from 12 nursing homes operated by a single care provider i ...[more]

PMID: 29394886

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Project description:Background/objectivesOverall and long-term opioid use among older adults have increased since 1999. Less is known about opioid use in older adults in nursing homes (NHs).DesignCross-sectional.SettingU.S. NHs (N = 13,522).ParticipantsLong-stay NH resident Medicare beneficiaries with a Minimum Data Set 3.0 (MDS) assessment between April 1, 2012, and June 30, 2012, and 120 days of follow-up (N = 315,949).MeasurementsWe used Medicare Part D claims to measure length of opioid use in the 120 days from the index assessment (short-term: ≤30 days, medium-term: >30-89 days, long-term: ≥90 days), adjuvants (e.g., anticonvulsants), and other pain medications (e.g., corticosteroids). MDS assessments in the follow-up period were used to measure nonpharmacological pain management use. Modified Poisson models were used to estimate adjusted prevalence ratios (aPR) and 95% confidence intervals (CI) for age, gender, race and ethnicity, cognitive and physical impairment, and long-term opioid use.ResultsOf all long-stay residents, 32.4% were prescribed any opioid, and 15.5% were prescribed opioids long-term. Opioid users (versus nonusers) were more commonly prescribed pain adjuvants (32.9% vs 14.9%), other pain medications (25.5% vs 11.0%), and nonpharmacological pain management (24.5% vs 9.3%). Long-term opioid use was higher in women (aPR = 1.21, 95% CI = 1.18-1.23) and lower in racial and ethnic minorities (non-Hispanic blacks vs whites: APR = 0.93, 95% CI = 0.90-0.94) and those with severe cognitive impairment (vs no or mild impairment, aPR = 0.82, 95% CI = 0.79-0.83).ConclusionOne in seven NH residents was prescribed opioids long-term. Recent guidelines on opioid prescribing for pain recommend reducing long-term opioid use, but this is challenging in NHs because residents may not benefit from nonpharmacological and nonopioid interventions. Studies to address concerns about opioid safety and effectiveness (e.g., on pain and functional status) in NHs are needed.

Project description:ObjectivesUp to 15% of the 1.4 million US nursing home (NH) residents receive antibiotics daily. Antibiotic use in NHs is often inappropriate, contributing to quality and safety concerns as well as antibiotic resistance. Information technology (IT) maturity-defined as the extent to which facilities possess and use diverse technological devices and software that are integrated across resident care, clinical support, and administrative activities-may improve the tracking and reporting of antibiotic use in NH residents. Thus, this research explores trends in IT maturity over time and associations with antibiotic use in US NHs.DesignRepeated cross-sectional study.Setting and participantsLong-term resident assessments from a random sample of Medicare-certified US NHs over 4 consecutive years (2013-2017).MethodsThree data sources were used: (1) 4 annual surveys measuring IT maturity, (2) Minimum Data Set (MDS) 3.0 assessments for resident characteristics, and (3) Certification and Survey Provider Enhanced Reporting data for facility characteristics. Nonadmission MDS assessments that were within a 90-day window of the IT survey were eligible. Descriptive statistics were examined. Bivariate and multivariate regressions using NH fixed effects were conducted controlling for resident and NH characteristics.ResultsThere were 219,461 MDS assessments from 80,237 long-stay residents aged ≥65 years, living in 817 NHs. Trends in IT maturity increased significantly over 4 years. IT integration in administrative processes was positively associated with antibiotic use (AOR 1.072, 95% CI 1.025, 1.122).Conclusions and implicationsIT components that integrate administrative activities, which can provide greater access to data sources across the organization as a whole, was associated with changes in antibiotic use. Further evaluation is needed to determine if antibiotic use is more appropriate with higher maturity such that policy makers can encourage IT with these capabilities to promote antibiotic stewardship.

Project description:ObjectivesTo quantify geographic variation in anticoagulant use and explore what resident, nursing home, and county characteristics were associated with anticoagulant use in a clinically complex population.DesignA repeated cross-sectional design was used to estimate current oral anticoagulant use on December 31, 2014, 2015, and 2016.Setting and participantsSecondary data for United States nursing home residents during the period 2014-2016 were drawn from the Minimum Data Set 3.0 and Medicare Parts A and D. Nursing home residents (≥65 years) with a diagnosis of atrial fibrillation and ≥6 months of Medicare fee-for-service enrollment were eligible for inclusion. Residents in a coma or on hospice were excluded.MethodsMultilevel logistic models evaluated the extent to which variation in anticoagulant use between counties could be explained by resident, nursing home, and county characteristics and state of residence. Proportional changes in cluster variation (PCVs), intraclass correlation coefficients (ICCs), and adjusted odds ratios (aORs) were estimated.ResultsAmong 86,736 nursing home residents from 11,860 nursing homes and 1694 counties, 45% used oral anticoagulants. The odds of oral anticoagulant use were 18% higher in 2016 than 2014 (aOR: 1.18; 95% confidence interval: 1.14-1.22). Most states had counties in the highest (51.3-58.9%) and lowest (31.1%-41.4%) deciles of anticoagulant use. Compared with the null model, adjustment for resident characteristics explained one-third of the variation between counties (PCV: 34.8%). The full model explained 65.5% of between-county variation. Within-county correlation was a small proportion (ICC < 2.2%) of total variation.Conclusions and implicationsIn this older adult population at high risk for ischemic stroke, less than half of the residents received treatment with anticoagulants. Variation in treatment across counties was partially attributable to the characteristics of residents, nursing homes, and counties. Comparative evidence and refinement of predictive algorithms specific to the nursing home setting may be warranted.

Project description:ObjectiveCurrent information on opioid use in nursing home residents, particularly those with dementia, is unknown. We examined the temporal trends in opioid use by dementia severity and the association of dementia severity with opioid use in long-term care nursing home residents.DesignRepeated measures cross-sectional study.SettingLong-term care nursing homes.ParticipantsUsing 20% Minimum Data Set (MDS) and Medicare claims from 2011-2017, we included long-term care residents (n = 734,739) from each year who had 120 days of consecutive stay. In a secondary analysis, we included residents who had an emergency department visit for a fracture (n = 12,927).MeasurementsDementia was classified as no, mild, moderate, and severe based on the first MDS assessment each year. In the 120 days of nursing home stay, opioid use was measured as any, prolonged (>90 days), and high-dose (≥90 morphine milligram equivalent dose/day). For residents with a fracture, opioid use was measured within 7 days after emergency department discharge. Association of dementia severity with opioid use was evaluated using logistic regression.ResultsOverall, any opioid use declined by 8.5% (35.2% to 32.2%, P < .001), prolonged use by 5.0% (14.1% to 13.4%, P < .001), and high-dose by 21.4% (1.4% to 1.1%, P < .001) from 2011 to 2017. Opioid use declined across 4 dementia severity groups. Among residents with fracture, opioid use declined by 9% in mild, 9.5% in moderate, and 12.3% in severe dementia. The odds of receiving any, prolonged, and high-dose opioids decreased with increasing severity of dementia. For example, severe dementia reduced the odds of any [23.5% vs 47.6%; odds ratio (OR) 0.56, 95% confidence interval (CI) 0.55-0.57], prolonged (9.8% vs 20.7%; OR 0.69, 95% CI 0.67-0.71), and high-dose (1.0% vs 2.3%; OR 0.69, 95% CI 0.63-0.74) opioids.Conclusions and implicationsUse of opioids declined in nursing home residents from 2011 to 2017, and the use was lower in residents with dementia, possibly reflecting suboptimal pain management in this population.

Dataset Information

Clinical characteristics associated with the onset of delirium among long-term nursing home residents.

Publications

Clinical characteristics associated with the onset of delirium among long-term nursing home residents.

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