Association Between Potentially Inappropriate Medications and Frailty in the Early Old Age: A Longitudinal Study in the GAZEL Cohort

Objectives

High-risk prescribing can have deleterious effects on the health of older people. This study aimed to assess the role of inappropriate prescribing on changes in frailty status over 3 years of follow-up.

Medication-Related Acute Care Admission and Inappropriate Polypharmacy of Nursing Home Residents

ObjectivesTo evaluate the prevalence of medication-related admissions (MRAs) and their association with potentially inappropriate medications (PIMs) used by nursing home residents admitted to the geriatric center of a tertiary hospital.DesignCross-sectional study.Setting and ParticipantsOlder patients admitted from nursing homes to the geriatric center of the Seoul National University Bundang Hospital who had undergone comprehensive geriatric assessment from January 1, 2016, to December 31, 2020.MethodsMRAs were determined and verified using a previously described MRA adjudication guide. The PIMs in the preadmission medication lists were identified according to each of the following criteria (as well as the combined criteria), the Beers, NORGEP-NH, STOPP/START-NH, and STOPPFrail criteria. Medication use factors associated with MRAs were analyzed using multivariate logistic regression.ResultsAmong the 304 acute care admissions, 32.2% were MRAs. The main cause of MRAs was acute kidney injury related with use of renin-angiotensin system inhibitors. Approximately 81% of the patients used at least 1 PIM according to the combined criteria. The use of 1 or more PIMs, renin-angiotensin system inhibitors, diuretics, nonsteroidal anti-inflammatory drugs, and benzodiazepines was significantly associated with MRAs. The combined criteria were able to predict MRAs better than the individual criteria.Conclusions and ImplicationsApproximately one-third of acute admissions of nursing home residents may be MRAs. Interventions for the optimal use of medication among nursing home residents are needed.     

Association of Polypharmacy With 1-Year Trajectories of Cognitive and Physical Function in Nursing Home Residents: Results From a Multicenter European Study

Objectives

To test the association between polypharmacy and 1-year change in physical and cognitive function among nursing home (NH) residents.

A Sustainable Interdisciplinary Approach to the Appropriate Use of Antipsychotic Medications in Long-Term Care

Prior research in geriatric medicine has shown that the use of antipsychotic medications by older people can result in significant adverse effects and increased mortality. This article focuses on the implementation of a methodology created by the Appropriate Use of Antipsychotics (AUA) collaborative, a project developed by the Senior Quality Leap Initiative (SQLI) in Canada, to reduce the use of antipsychotic medications among a population of older individuals at a long-term chronic hospital. The methodology included use of a variety of standardized AUA tools, the establishment of staff awareness and alignment, focused internal reporting with benchmarks, and collaborative teamwork with the use of person-centered care. Through this framework, the facility was able to reduce antipsychotic medication use from 22.0% to 14.9% over 2 years.     

The Association between Long-Term Care Setting and Potentially Preventable Hospitalizations among Older Dual Eligibles

ObjectiveTo compare the probability of experiencing a potentially preventable hospitalization (PPH) between older dual eligible Medicaid home and community-based service (HCBS) users and nursing home residents.ConclusionsHCBS users’ increased probability for potentially and non-PPHs suggests a need for more proactive integration of medical and long-term care.     

Changes in Long-Term Care Markets: Assisted Living Supply and the Prevalence of Low-Care Residents in Nursing Homes

ObjectivesTo assess the effect of changes in assisted living (AL) capacity within a market on prevalence of residents with low care needs in nursing homes.DesignRetrospective, longitudinal analysis of nursing home markets.Setting and participantsTwelve thousand two hundred fifity-one nursing homes in operation during 2007 and 2014.MeasurementsWe analyzed the percentage of residents in a nursing home who qualified as low-care. For each nursing home, we constructed a market consisting of AL communities, Medicare beneficiaries, and competing nursing homes within a 15-mile radius. We estimated the effect of change in AL beds on prevalence of low-care residents using multivariate linear models with year and nursing home fixed effects.ResultsThe supply of AL beds increased by an average 258 beds per nursing home market (standard deviation = 591) during the study period. The prevalence of low-care residents decreased from an average of 13.0% (median 10.5%) to 12.2% (median 9.5%). In adjusted models, a 100-bed increase in AL supply was associated with a decrease in low-care residents of 0.041 percentage points (P = .026), controlling for changes in market and nursing home characteristics, county demographics, and year and nursing home fixed effects. In markets with a high percentage of its Medicare beneficiaries (≥14%) dual eligible for Medicaid, the effect of AL is stronger, with a 0.066–percentage point decrease per 100 AL beds (P = .026) vs a 0.016–percentage point decrease in low-duals markets (P = .48).Conclusions and implicationsOur analysis suggests that some of the growth in AL capacity serves as a substitute for nursing homes for patients with low care needs. Furthermore, the effects are concentrated in markets with an above-average proportion of beneficiaries with dual Medicaid eligibility.     

A Longitudinal,Clinical, and Spatial Epidemiologic Analysis of a Large COVID-19 Long-Term Care Home Outbreak

ObjectivesCOVID-19 has had devastating effects on long-term care homes across much of the world, and especially within Canada, with more than 50% of the mortality from COVID-19 in 2020 in these homes. Understanding the way in which the virus spreads within these homes is critical to preventing further outbreaks.DesignRetrospective chart review.Settings and ParticipantsLong-term care home residents and staff in Ontario, Canada.MethodsWe conducted a longitudinal study of a large long-term care home COVID-19 outbreak in Ontario, Canada, using electronic medical records, public health records, staff assignments, and resident room locations to spatially map the outbreak through the facility.ResultsBy analyzing the outbreak longitudinally, we were able to draw 3 important conclusions: (1) 84.5% had typical COVID-19 symptoms and only 15.5% of residents had asymptomatic infection; (2) there was a high attack rate of 85.8%, which appeared to be explained by a high degree of interconnectedness within the home exacerbated by staffing shortages; and (3) clustering of infections within multibedded rooms was common.Conclusion and ImplicationsLow rates of asymptomatic infection suggest that symptom-based screening in residents remains very important for detecting outbreaks, a high degree of interconnectedness explains the high attack rate, and there is a need for improved guidance for homes with multibedded rooms on optimizing resident room movement to mitigate spread of COVID-19 in long-term care homes.     

A Successful Diabetes Management Model of Care in Long-Term Care Facilities

The management of diabetes in long-term care (LTC) facilities requires facility staff to perform most self-care activities on the behalf of the residents. A practical model of care to improve diabetes management was developed and implemented at 6 LTC facilities in the Northeast United States between 2009 and 2012. The components of the program included (1) developing an individualized education curriculum and educating LTC interdisciplinary staff; (2) educating patients and caregivers; and (3) developing a clinical care algorithm. Over 500 staff members were educated and achieved competence. There were 1031 residents screened for risk of hypo- or hyperglycemia on admission, and 245 residents (24%) experienced hypoglycemia and 240 residents (23%) experienced hyperglycemia. Hypoglycemia episodes resolved without recurrence in 73%-90% cases because of interventions initiated by LTC staff. The implementation of a practical model of diabetes management in LTC facilities can improve staff education and lead to improved diabetes management.     

Managing the Impact of COVID-19 in Nursing Homes and Long-Term Care Facilities: An Update

Older adults in nursing homes are at greatest risk of morbidity and mortality from SARS-CoV-2 infection. Nursing home residents constituted one-third to more than half of all deaths during the early waves of the COVID-19 pandemic. Following this, widespread adaptation of infection prevention and control measures and the supply and use of personal protective equipment resulted in a significant decrease in nursing home infections and deaths. For nursing homes, the most important determinant of experiencing a SARS-CoV-2 outbreak in the first instance appears to be community-transmission levels (particularly with variants of concern), although nursing home size and quality, for-profit status, and sociodemographic characteristics are also important. Use of visitation bans, imposed to reduce the impact of COVID-19 on residents, must be delicately balanced against their impact on resident, friend or family, and staff well-being. The successful rollout of primary vaccination has resulted in a sharp decrease in morbidity and mortality from SARS-CoV-2 in nursing homes. However, emerging evidence suggests that vaccine efficacy may wane over time, and the use of a third or additional vaccine “booster” doses in nursing home residents restores protection afforded by primary vaccination. Ongoing monitoring of vaccine efficacy in terms of infection, morbidity, and mortality is crucial in this vulnerable group in informing ongoing SARS-CoV-2 vaccine boosting strategies. Here, we detail the impact of SARS-CoV-2 on nursing home residents and discuss important considerations in the management of nursing home SARS-CoV-2 outbreaks. We additionally examine the use of testing strategies, nonpharmacologic outbreak control measures and vaccination strategies in this cohort. Finally, the impact of SARS-CoV-2 on the sector is reflected on as we emphasize the need for adoption of universal standards of medical care and integration with wider public health infrastructure in nursing homes in order to provide a safe and effective long-term care sector.     

Polypharmacy and Possible Drug-Drug Interactions Among Diabetic Patients Receiving Home Health Care Services

SUMMARY

Objectives: In this study, we examined the drug regimens of diabetic patients receiving home health care services to measure the prevalence of polypharmacy and to assess the likelihood of drug-drug interactions, a consequence of polypharmacy.

Design: The sample consisted of 139 diabetic patients who received home health care services from one home health agency in a large mid-Atlantic city. The data were collected from March 1, 1998 to September 30, 1999. Information regarding medications was collected by the home health nurse during the initial home visit and was recorded on the medication sheet in the patient's clinical record. Any changes in medications were noted on the medication sheets.

Methods: We identified all systemic medications prescribed for 139 home health patients. To assess drug-drug interactions, we used Micromedex® formulary DRUG-REAX® System.

Outcomes: We calculated (1) the number of systemic medications taken, and (2) the number of possible severe, moderate, and mild drug-drug interactions.

Results: We found that the average number of medications taken was 8.9 (SD 3.4) prescribed medications per day. Our results show that 38.8% of the patients in the sample could potentially be subject to at least one severe drug-drug interaction. Nearly all of the patients (92.8%) were at risk for moderate drug-drug interactions, and 70.5% could have mild drug-drug interactions.

Conclusion: We conclude that polypharmacy is a concern for home health care patients with diabetes and the potential for drug-drug interactions is substantial. Our results indicate that the drug regimens of diabetic patients should be monitored systematically to avoid adverse events such as hospitalization. Family practitioners and home health care takers are in a unique position to identify polypharmacy and to modify drug regimens.     

Trends in Antipsychotic and Mood Stabilizer Prescribing in Long-Term Care in the U.S.: 2011–2014

ObjectiveThe Centers for Medicare and Medicaid Services’ National Partnership to Improve Dementia Care in Nursing Homes focuses on but is not limited to long-term care (LTC) residents with dementia; the potential impact on residents with other diagnoses is unclear. We sought to determine whether resident subpopulations experienced changes in antipsychotic and mood stabilizer prescribing.DesignRepeated cross-sectional analysis of a 20% Medicare sample, 2011–2014.Setting and ParticipantFee-for-service Medicare beneficiaries with Part D coverage in LTC (n = 562,485) and a secondary analysis limited to persons with depression or bipolar disorder (n = 139,071).MethodsMain outcome was quarterly predicted probability of treatment with an antipsychotic or mood stabilizer.ResultsFrom 2011 to 2014, the adjusted predicted probability (APP) of antipsychotic treatment fell from 0.120 [95% confidence interval (CI) 0.119–0.121] to 0.100 (95% CI 0.099–0.101; P < .001). Use decreased for all age, sex, and racial/ethnic groups; the decline was larger for persons with dementia (P < .001). The APP of mood stabilizer use grew from 0.140 (95% CI 0.139–0.141) to 0.185 (95% CI 0.184–0.186), growth slightly larger among persons without dementia (P < .001). Among persons with depression or bipolar disorder, the APP of antipsychotic treatment increased from 0.081 (95% CI 0.079–0.082) to 0.087 (95% CI 0.085–0.088; P < .001); APP of mood stabilizer treatment grew more, from 0.193 (95% CI 0.190–0.196) to 0.251 (0.248–0.253; P < .001). Quetiapine was the most commonly prescribed antipsychotic. The most widely prescribed mood stabilizer was gabapentin, prescribed to 70.5% of those who received a mood stabilizer by the end of 2014.Conclusions and ImplicationsThe likelihood of antipsychotic and mood stabilizer treatment did not decline for residents with depression or bipolar disorder, for whom such prescribing may be appropriate but who were not excluded from the Partnership's antipsychotic quality measure. Growth in mood stabilizer use was widespread, and largely driven by growth in gabapentin prescribing.     

Impact of Prior Home Care on Length of Stay in Residential Care for Australians With Dementia

ObjectivesTo assess the impact of home care on length-of-stay within residential care.DesignA retrospective observational data-linkage study.Setting and ParticipantsIn total there were 3151 participants from the 45 and Up Study in New South Wales, Australia with dementia who entered residential care between 2010 and 2014.MethodsSurvey data collected from 2006‒2009 were linked to administrative data for 2006‒2016. The highest level of home care a person accessed prior to residential care was defined as no home care, home support, low-level home care, and high-level home care. Multinomial logistic regression and Cox proportional hazards were used to investigate differences in activities of daily living, behavioral, and complex healthcare scales at entering residential care; and length-of-stay in residential care.ResultsPeople with prior high-level home care entered residential care needing higher assistance compared with the no home care group: activities of daily living [odds ratio (OR) 3.41, 95% confidence interval (CI) 2.14‒5.44], behavior (OR 2.61, 95% CI 1.69‒4.03), and complex healthcare (OR 2.02, 95% CI 1.06‒3.84). They had a higher death rate, meaning shorter length-of-stay in residential care (<2 years after entry: hazard ratio 1.12; 95% CI 0.89‒1.42; 2-4 years: hazard ratio 1.49; 95% CI 1.01‒2.21). Those using low-level home care were less likely to enter residential care needing high assistance compared to the no home care group (activities of daily living: OR 0.61, 95% CI 0.45‒0.81; behavioral: OR 0.72, 95% CI 0.54‒0.95; complex healthcare: OR 0.51, 95% CI 0.33‒0.77). There was no difference between the home support and no home care groups.ConclusionsHigh-level home care prior to residential care may help those with dementia stay at home for longer, but the low-level care group entered residential care at low assistance levels, possibly signaling lack of informal care and barriers in accessing higher-level home care.ImplicationsBetter transition options from low-level home care, including more timely availability of high-level care packages, may help people with dementia remain at home longer.     

The Macro Impact of Microtransitions in Post-acute and Long-Term Care

The care transitions concept emerged in medical literature more than 40 years ago, with an exponential rise in publications dedicated to its exploration since that time. It is generally accepted that older patients are particularly vulnerable during care transitions because of complex medical comorbidity, frailty, cognitive dysfunction, and the fragmented nature of health care. A care transition is defined as the movement of patients from one health care setting to another as their care needs change during acute or chronic illness. Easily recognizable examples include the discharge of a patient from the hospital to a skilled nursing facility or an admission to the hospital after a patient is evaluated in the emergency department. These macrotransitions are marked by major changes in clinical condition and span days to weeks. This discussion examines a new term coined by the authors: microtransitions, which are care transitions characterized by movement of a patient between health care settings or within a given setting, usually over shorter periods (less than 24 hours) and accompanied by changes in clinical or custodial responsibility for a patient. Although often unrecognized as formal care transitions, these microtransitions, if not handled appropriately, can lead to poor outcomes, including clinical deterioration and the need for macrotransition. The authors propose formal recognition of microtransitions, standardization of processes related to them, and practical considerations for implementation.