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Background and Objectives The need to reduce burdensome and costly hospitalizations of frail nursing home residents is well documented. The Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project achieved this reduction through a multicomponent collaborative care model. We conducted an implementation-focused project evaluation to describe stakeholders' perspectives on (a) the most and least effective components of the intervention; (b) barriers to implementation; and (c) program features that promoted its adoption. Research Design and Methods Nineteen nursing homes participated in OPTIMISTIC. We conducted semistructured, qualitative interviews with 63 stakeholders: 23 nursing home staff and leaders, 4 primary care providers, 10 family members, and 26 OPTIMISTIC clinical staff. We used directed content analysis to analyze the data. Results We found universal endorsement of the value of in-depth advance care planning (ACP) discussions in reducing hospitalizations and improving care. Similarly, all stakeholder groups emphasized that nursing home access to specially trained, project registered nurses (RNs) and nurse practitioners (NPs) with time to focus on ACP, comprehensive resident assessment, and staff education was particularly valuable in identifying residents' goals for care. Challenges to implementation included inadequately trained facility staff and resistance to changing practice. In addition, the program sometimes failed to communicate its goals and activities clearly, leaving facilities uncertain about the OPTIMISTIC clinical staff's roles in the facilities. Discussion and Implications These findings are important for dissemination efforts related to the OPTIMISTIC care model and may be applicable to other innovations in nursing homes. [ABSTRACT FROM AUTHOR]

This editorial comments on the article by Montoya et al. in this issue. [ABSTRACT FROM AUTHOR]

The American Geriatrics Society (AGS) has consistently advocated for a healthcare system that meets the needs of older adults, including addressing impacts of ageism in healthcare. The intersection of structural racism and ageism compounds the disadvantage experienced by historically marginalized communities. Structural racism and ageism have long been ingrained in all aspects of US society, including healthcare. This intersection exacerbates disparities in social determinants of health, including poor access to healthcare and poor outcomes. These deeply rooted societal injustices have been brought to the forefront of the collective public consciousness at different points throughout history. The COVID‐19 pandemic laid bare and exacerbated existing inequities inflicted on historically marginalized communities. Ageist rhetoric and policies during the COVID‐19 pandemic further marginalized older adults. Although the detrimental impact of structural racism on health has been well‐documented in the literature, generative research on the intersection of structural racism and ageism is limited. The AGS is working to identify and dismantle the healthcare structures that create and perpetuate these combined injustices and, in so doing, create a more just US healthcare system. This paper is intended to provide an overview of important frameworks and guide future efforts to both identify and eliminate bias within healthcare delivery systems and health professions training with a particular focus on the intersection of structural racism and ageism. [ABSTRACT FROM AUTHOR]

The article presents a study on referral practices in the use of palliative care (PC) by nursing home (NH) residents. Topics discussed include the significance of palliative care for NH residents, the methods used in the study, factors that influence PC referrals, and the benefit of using a PC screening tool in NHs.

Potentially avoidable hospitalizations are harmful to nursing home residents. Despite extensive care transitions research, no studies have described transfers originating outside the nursing home (eg, visiting family members or at a dialysis center). This article describes 82 out-of-facility (community) transfers and compares them to transfers originating within the nursing home (direct transfers). Secondary data analysis with multivariable model for community transfer risk factors. Eighty-two community transfers and 1362 transfers originating in the nursing home, involving 870 residents enrolled in the OPTIMISTIC demonstration project between January 1, 2015, and June 30, 2016. Transfers were compared using data from the Minimum Data Set and root cause analyses performed at time of transfer. Multivariable associations were assessed at the transfer level to define risk factors for community transfers. Project nurses collected data on community transfers to inform a root cause analysis. Residents with community transfers were younger (74.4 years vs 78.2 years), with lower prevalence of cognitive impairment (44.8% vs 70.3%) and higher rates of heart failure (38.7% vs 23.3%) than residents with direct transfers. Community transfers were more likely due to cardiovascular illness (31.2% vs 8.7%), whereas less likely to be for cognitive, behavioral, and psychiatric concerns (11.7% vs 22.7%). Nearly half (46%) of community transfers originated at dialysis centers. Residents transferred outside the nursing home were less likely to have documented limitations to care such as a do not resuscitate code status. Communication during community transfers was identified on root cause analyses as a potential area for improvement. Community transfers were more likely to occur in younger residents with higher rates of cardiovascular disease and lower rates of cognitive impairment. Improved communication between nursing home staff and outside providers as well as more extensive advance care planning for residents with cardiovascular disease may reduce community transfers. [ABSTRACT FROM AUTHOR]

Background: Centers for Medicare and Medicaid Services (CMS) funded demonstration project to evaluate financial incentives for nursing facilities providing care for 6 clinical conditions to reduce potentially avoidable hospitalizations (PAHs). The Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) site tested payment incentives alone and in combination with the successful nurse-led OPTIMISTIC clinical model. Our objective was to identify facility and resident characteristics associated with transfers, including financial incentives with or without the clinical model.Methods: This was a longitudinal analysis from April 2017 to June 2018 of transfers among nursing home residents in 40 nursing facilities, 17 had the full clinical + payment model (1726 residents) and 23 had payment only model (2142 residents). Using CMS claims data, the Minimum Data Set, and Nursing Home Compare, multilevel logit models estimated the likelihood of all-cause transfers and PAHs (based on CMS claims data and ICD-codes) associated with facility and resident characteristics.Results: The clinical + payment model was associated with 4.1 percentage points (pps) lower risk of all-cause transfers (95% confidence interval [CI] - 6.2 to - 2.1). Characteristics associated with lower PAH risk included residents aged 95+ years (- 2.4 pps; 95% CI - 3.8 to - 1.1), Medicare-Medicaid dual-eligibility (- 2.5 pps; 95% CI - 3.3 to - 1.7), advanced and moderate cognitive impairment (- 3.3 pps; 95% CI - 4.4 to - 2.1; - 1.2 pps; 95% CI - 2.2 to - 0.2). Changes in Health, End-stage disease and Symptoms and Signs (CHESS) score above most stable (CHESS score 4) increased the risk of PAH by 7.3 pps (95% CI 1.5 to 13.1).Conclusions: Multiple resident and facility characteristics are associated with transfers. Facilities with the clinical + payment model demonstrated lower risk of all-cause transfers compared to those with payment only, but not for PAHs. [ABSTRACT FROM AUTHOR]

For nursing facility residents, potentially avoidable hospitalizations (PAHs) can lead to adverse outcomes such as delirium, nosocomial infections, and decline in function. In analyses of the OPTIMISTIC nursing facilities with on-site support, PAHs were reduced by 1/3.[3] More than 30% of PAHs of nursing facility residents are for pneumonia, making pneumonia one of the top five PAH-associated diagnoses.[2] Using OPTIMISTIC data, we are uniquely positioned to describe current treatment for episodes of pneumonia in nursing facilities. Despite FDA warnings and treatment recommendations, fluoroquinolone use was high and treatment duration was longer than recent guidelines recommend. [Extracted from the article]

Purpose: To compile the literature on the effects of rural hospital closures on the community and summarize the evidence, specifically the health and economic impacts, and identify gaps for future research., Methods: A systematic review of the relevant peer-reviewed literature, published from January 2005 through December 2021, included in the EMBASE, CINAHL, PubMed, EconLit, and Business Source Complete databases, as well as "gray" literature published during the same time period. A total of 21 articles were identified for inclusion., Findings: Over 90% of the included studies were published in the last 8 years, with nearly three-fourths published in the last 4 years. The most common outcomes studied were economic outcomes and employment (76%), emergent, and non-emergent transportation, which includes transport miles and travel time (42.8%), access to and supply of health care providers (38%), and quality of patient outcomes (19%). Eighty-nine percent of the studies that examined economic impacts found unfavorable results, including decreased income, population, and community economic growth, and increased poverty. Between 11 and 15.7 additional minutes were required to transport patients to the nearest emergency facility after closures. A lack of consistency in measures and definition of rurality challenges comparability across studies., Conclusions: The comprehensive impact of rural hospital closures on communities has not been well studied. Research shows predominantly negative economic outcomes as well as increased time and distance required to access health care services. Additional research and consistency in the outcome measures and definition of rurality is needed to characterize the downstream impact of rural hospital closures., (© 2023 The Authors. The Journal of Rural Health published by Wiley Periodicals LLC on behalf of National Rural Health Association.)

Introduction: Polypharmacy is common and is associated with higher risk of adverse drug event (ADE) among older adults. Knowledge on the ADE risk level of exposure to different drug combinations is critical for safe polypharmacy practice, while approaches for this type of knowledge discovery are limited. The objective of this study was to apply an innovative data mining approach to discover high-risk and alternative low-risk high-order drug combinations (e.g., three- and four-drug combinations)., Methods: A cohort of older adults (≥ 65 years) who visited an emergency department (ED) were identified from Medicare fee-for-service and MarketScan Medicare supplemental data. We used International Classification of Diseases (ICD) codes to identify ADE cases potentially induced by anticoagulants, antidiabetic drugs, and opioids from ED visit records. We assessed drug exposure data during a 30-day window prior to the ED visit dates. We investigated relationships between exposure of drug combinations and ADEs under the case-control setting. We applied the mixture drug-count response model to identify high-order drug combinations associated with an increased risk of ADE. We conducted therapeutic class-based mining to reveal low-risk alternative drug combinations for high-order drug combinations associated with an increased risk of ADE., Results: We investigated frequent high-order drug combinations from 8.4 million ED visit records (5.1 million from Medicare data and 3.3 million from MarketScan data). We identified 5213 high-order drug combinations associated with an increased risk of ADE by controlling the false discovery rate at 0.01. We identified 1904 high-order, high-risk drug combinations had potential low-risk alternative drug combinations, where each high-order, high-risk drug combination and its corresponding low-risk alternative drug combination(s) have similar therapeutic classes., Conclusions: We demonstrated the application of a data mining technique to discover high-order drug combinations associated with an increased risk of ADE. We identified high-risk, high-order drug combinations often have low-risk alternative drug combinations in similar therapeutic classes., (© 2023. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Background: Palliative care is an effective model of care focused on maximizing quality of life and relieving the suffering of people with serious illnesses, including dementia. Evidence shows that many people receiving care in nursing homes are eligible for and would benefit from palliative care services. Yet, palliative care is not consistently available in nursing home settings. There is a need to test pragmatic strategies to implement palliative care programs in nursing homes., Methods/design: The UPLIFT-AD (Utilizing Palliative Leaders in Facilities to Transform care for people with Alzheimer's Disease) study is a pragmatic stepped wedge trial in 16 nursing homes in Maryland and Indiana, testing the effectiveness of the intervention while assessing its implementation. The proposed intervention is a palliative care program, including 1) training at least two facility staff as Palliative Care Leads, 2) training for all staff in general principles of palliative care, 3) structured screening for palliative care needs, and 4) on-site specialty palliative care consultations for a one-year intervention period. All residents with at least moderate cognitive impairment, present in the facility for at least 30 days, and not on hospice at baseline are considered eligible. Opt-out consent is obtained from legal decision-makers. Outcome assessments measuring symptoms and quality of care are obtained from staff and family proxy respondents at four time points: pre-implementation (baseline), six months after implementation, at 12 months (conclusion of implementation), and six months after the end of implementation. Palliative care attitudes and practices are assessed through surveys of frontline nursing home staff both pre- and post-implementation. Qualitative and quantitative implementation data, including fidelity assessments and interviews with Palliative Care Leads, are also collected. The study will follow the Declaration of Helsinki., Discussion: This trial assesses the implementation and effectiveness of a robust palliative care intervention for residents with moderate-to-advanced cognitive impairment in 16 diverse nursing homes. The intervention represents an innovative, pragmatic approach that includes both internal capacity-building of frontline nursing home staff, and support from external palliative care specialty consultants., Trial Registration: The project is registered on ClinicalTrials.gov: NCT04520698., (© 2023. The Author(s).)

Context: Nursing facility residents and their families may identify "comfort measures" as their overall goal of care, yet some hospital transfers still occur., Objectives: Describe nursing facility residents with comfort measures and their hospital transfers., Methods: Mixed methods, including root cause analyses of transfers by registered nurses and interviews with a subset of health care providers and family members involved in transfers. Participants were residents in 19 central Indiana facilities with comfort measures orders who experienced unplanned transfers to the hospital between January 1, 2015 and June 30, 2016. Project demographic and clinical characteristics of the residents were obtained from the Minimum Data Set 3.0. Interviews were conducted with stakeholders involved in transfer decisions. Participants were prompted to reflect on reasons for the transfer and outcomes. Interviews were transcribed and coded using qualitative descriptive methods., Results: Residents with comfort measures orders (n = 177) experienced 204 transfers. Most events were assessed as unavoidable (77%). Communication among staff, or between staff and the resident/family, primary care provider, or hospital was the most frequently noted area needing improvement (59.5%). In interviews, participants (n = 11) highlighted multiple issues, including judgments about whether decisions were "good" or "bad," and factors that were important to decision-making, including communication, nursing facility capabilities, clinical situation, and goals of care., Conclusion: Most transfers of residents with comfort measures orders were considered unavoidable. Nonetheless, we identified several opportunities for improving care processes, including communication and addressing acute changes in status., (Copyright © 2019 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.)

The Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project aims to reduce avoidable hospitalizations of long-stay residents enrolled in 19 central Indiana nursing facilities. This clinical demonstration project, funded by the Centers for Medicare and Medicaid Services Innovations Center, places a registered nurse in each nursing facility to implement an evidence-based quality improvement program with clinical support from nurse practitioners. A description of the model is presented, and early implementation experiences during the first year of the project are reported. Important elements include better medical care through implementation of Interventions to Reduce Acute Care Transfers tools and chronic care management, enhanced transitional care, and better palliative care with a focus on systematic advance care planning. There were 4,035 long-stay residents in 19 facilities enrolled in OPTIMISTIC between February 2013 and January 2014. Root-cause analyses were performed for all 910 acute transfers of these long stay residents. Of these transfers, the project RN evaluated 29% as avoidable (57% were not avoidable and 15% were missing), and opportunities for quality improvement were identified in 54% of transfers. Lessons learned in early implementation included defining new clinical roles, integrating into nursing facility culture, managing competing facility priorities, communicating with multiple stakeholders, and developing a system for collecting and managing data. The success of the overall initiative will be measured primarily according to reduction in avoidable hospitalizations of long-stay nursing facility residents., (© 2014, Copyright the Authors Journal compilation © 2014, The American Geriatrics Society.)