Project description:BACKGROUND/OBJECTIVES:Overall 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). DESIGN:Cross-sectional. SETTING:U.S. NHs (N = 13,522). PARTICIPANTS:Long-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). MEASUREMENTS:We 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. RESULTS:Of 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). CONCLUSION:One 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:ObjectivesTo evaluate the prevalence and factors associated with statin pharmacotherapy in long-stay nursing home residents with life-limiting illness.DesignCross-sectional.SettingUS Medicare- and Medicaid-certified nursing home facilities.ParticipantsLong-stay nursing home resident Medicare fee-for-service beneficiaries aged 65 years or older with life-limiting illness (n = 424 212).MeasurementsPrevalent statin use was estimated as any low-moderate intensity (daily dose low-density lipoprotein-cholesterol [LDL-C] reduction <30%-50%) and high-intensity (daily dose LDL-C reduction >50%) use via Medicare Part D claims for a prescription supply on September 30, 2016, with a 90-day look-back period. Life-limiting illness was operationally defined to capture those near the end of life using evidence-based criteria to identify progressive terminal conditions or limited prognoses (<6 mo). Poisson models provided estimates of adjusted prevalence ratios and 95% confidence intervals for resident factors.ResultsA total of 34% of residents with life-limiting illness were prescribed statins (65-75 y = 44.0%, high intensity = 11.1%; >75 y = 31.1%, high intensity = 5.4%). Prevalence of statins varied by life-limiting illness definition. Of those with a prognosis of less than 6 months, 23% of the 65 to 75 and 12% of the older than 75 age groups were on statins. Factors positively associated with statin use included minority race or ethnicity, use of more than five concurrent medications, and atherosclerotic cardiovascular disease or risk factors.ConclusionDespite having a life-limiting illness, more than one-third of clinically compromised long-stay nursing home residents remain on statins. Although recent national guidelines have expanded indications for statins, the benefit of continued therapy in an advanced age population near the end of life is questionable. Efforts to deprescribe statins in the nursing home setting may be warranted. J Am Geriatr Soc 68:708-716, 2020.
Project description:Objectives: This study evaluated treatment patterns and factors associated with medication treatment changes in residents with dementia-related psychosis in a long-term care (LTC) setting. Methods: A retrospective database cohort study was conducted using the national PharMerica® database and included dementia residents with or without incident psychosis. Treatment patterns were assessed and a multivariate logistic regression model was used to identify factors associated with any treatment change (discontinuation, switch, or sporadic use) in dementia-related psychosis therapy. Results: Among 11,921 residents with incident dementia-related psychosis, 11,246 (94.3%) were prescribed ≥1 index medication to treat psychosis, including 77.3% who received ≥1 typical or atypical antipsychotic. Treatment change was evaluated during the post-index period: 38.7% of residents with dementia-related psychosis discontinued treatment, 13.9% switched treatments, and 7.9% had sporadic use. Factors associated with treatment change were age ≥65 years, Medicare insurance, and comorbid conditions (anemia, coronary heart disease, diabetes, falls, depression, hypertension, or hyperlipidemia) during the pre-index period. Discussion: Approximately 60% of dementia-related psychosis LTC residents experienced a medication treatment change. This treatment change was associated with higher age and higher comorbidities. Medications that treat symptoms of dementia-related psychosis without adding to safety concerns are needed to facilitate long-term, consistent treatment.
Project description:ObjectiveThe objective of this study was to assess family caregivers' primary appraisal of stressors related to COVID-19 stay-at-home orders, secondary appraisal of resources and support availability, and use of coping strategies as predictors of perceived role overload during the stay-at-home phase of the pandemic.MethodTelephone interviews with 53 family caregivers of persons with dementia from rural Virginia 2 weeks after enactment of the governor's stay-at-home order using structured and open-ended questions were conducted.ResultsCaregivers who were more concerned about the COVID-19 pandemic were at greater odds of experiencing high role overload than those who recognized positive aspects of the pandemic, as were those who received insufficient support from family and friends.DiscussionUse of the transactional model of stress responses yielded important insights about families coping with dementia. Caregivers' perceptions of the pandemic's impact varied, with differential effects on their well-being.
Project description:ObjectivesTo investigate psychoactive medication use and risk of suicide in long-term care facility (LTCF) residents aged 75 and above. A second aim was to investigate the role of psychiatric and medical conditions in the occurrence of suicide in LTCF residents.MethodsA Swedish national register-based cohort study of LTFC residents aged ≥75 years between 1 January 2008 and 31 December 2015, and followed until 31 December 2016 (N = 288,305). Fine and Gray regression models were used to analyse associations with suicide.ResultsThe study identified 110 suicides (15.8 per 100,000 person-years). Half of these occurred during the first year of residence. Overall, 54% of those who died by suicide were on hypnotics and 45% were on antidepressants. Adjusted sub-hazard ratio (aSHR) for suicide was decreased in those who were on antidepressants (aSHR 0.64, 95% confidence interval 0.42-0.97), even after the exclusion of residents who had healthcare contacts for dementia or were on anti-dementia drugs. The aSHR for suicide was more than two-fold higher in those who were on hypnotics (2.20, 1.46-3.31). Suicide risk was particularly elevated in those with an episode of self-harm prior to LTCF admittance (15.78, 10.01-24.87). Specialized care for depression was associated with increased risk, while medical morbidity was not.ConclusionsA lower risk of suicide in LTCF residents was found in users of antidepressants, while elevated risk was observed in those on hypnotics. Our findings suggest that more can be done to prevent suicide in this setting.
Project description:The COVID-19 pandemic, and resultant "Stay-at-Home" orders, may have impacted adults' positive health behaviors (sleep, physical activity) and negative health behaviors (alcohol consumption, drug use, and tobacco use). The purpose of this study was to investigate how these health behaviors changed (increased/improved or decreased/worsened) at the early stages of the pandemic, what participant characteristics were associated with health behavior changes, and why these behavioral changes may have occurred. A convenience sample of 1809 adults residing in the United States completed a 15-min self-report questionnaire in April and May 2020. Multinomial logistic regressions and descriptive statistics were used to evaluate how, for whom, and why these health behaviors changed. Participants were primarily female (67.4%), aged 35-49 years (39.8%), college graduates (83.3%), non-tobacco users (74.7%), and had previously used marijuana (48.6%). Overall, participants primarily reported a decrease in physical activity, while sleep and all of the negative health behaviors remained the same. Changes in negative health behaviors were related (p < 0.05) to sex, age, parental status, educational status, job status, BMI, and depression scores. Changes in positive health behaviors were related (p < 0.05) to sex, parental status, job status, and depression scores. Having more time available during the pandemic was the most commonly cited reason for changing health behaviors (negative and positive). Public health efforts should address the potential for long-term health consequences due to behavior change during COVID-19.
Project description:Objective: To explore the perceptions of nursing home (NH) clinicians regarding factors underpinning known increases in psychotropic prescribing over the COVID-19 pandemic. Methods: Three iterative online surveys were fielded to Virginia NH prescribing clinicians (11/2021-6/2022) to assess their perspectives regarding factors driving pandemic increases in NH psychotropic use. Existing literature and emerging survey data informed survey content. Sampling was for convenience and achieved through crowdsourcing, leveraging collaborations with Virginia NH clinician professional organizations. Results: A total of 89 surveys were collected. Clinicians noted simultaneous surging of dementia symptoms with decreased availability of non-pharmacologic measures to remedy them, leading to increased prescribing of all psychotropics. Staff shortages and turnover, isolation from family and community, and personal protective equipment protocols were identified as key pandemic factors contributing to this mismatch. Conclusions: Virginia NH clinicians explicitly linked increased NH psychotropic prescribing to known pandemic phenomena, associations previously hypothesized, but not, to our knowledge, directly confirmed.
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.
Project description:OBJECTIVE To determine whether a computerized clinical decision support system providing patient-specific recommendations in real-time improves the quality of prescribing for long-term care residents with renal insufficiency. DESIGN Randomized trial within the long-stay units of a large long-term care facility. Randomization was within blocks by unit type. Alerts related to medication prescribing for residents with renal insufficiency were displayed to prescribers in the intervention units and hidden but tracked in control units. Measurement The proportions of final drug orders that were appropriate were compared between intervention and control units within alert categories: (1) recommended medication doses; (2) recommended administration frequencies; (3) recommendations to avoid the drug; (4) warnings of missing information. RESULTS The rates of alerts were nearly equal in the intervention and control units: 2.5 per 1,000 resident days in the intervention units and 2.4 in the control units. The proportions of dose alerts for which the final drug orders were appropriate were similar between the intervention and control units (relative risk 0.95, 95% confidence interval 0.83, 1.1) for the remaining alert categories significantly higher proportions of final drug orders were appropriate in the intervention units: relative risk 2.4 for maximum frequency (1.4, 4.4); 2.6 for drugs that should be avoided (1.4, 5.0); and 1.8 for alerts to acquire missing information (1.1, 3.4). Overall, final drug orders were appropriate significantly more often in the intervention units-relative risk 1.2 (1.0, 1.4). CONCLUSIONS Clinical decision support for physicians prescribing medications for long-term care residents with renal insufficiency can improve the quality of prescribing decisions.http://clinicaltrials.gov Identifier: NCT00599209.