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BACKGROUND/OBJECTIVES The Optimizing Patient Transfers, Impacting Medical Quality, and Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project is a successful, multicomponent demonstration project to reduce potentially avoidable hospitalizations of long‐stay nursing facility residents. To continue to reduce hospital transfers, a more detailed understanding of these transfer events is needed. The purpose of this study was to describe differences in transfer events that result in treatment in the hospital versus emergency department (ED) only. DESIGN OPTIMISTIC project nurses collected data on residents who transferred. Transfer events that resulted in treatment in ED versus hospitalization were compared using t‐tests and chi‐square tests. A generalized estimating equations regression model was used to assess the associations between hospital admission and transfer characteristics. PARTICIPANTS A total of 867 long‐stay nursing facility residents enrolled in OPTIMISTIC, January 2015 to June 2016. MEASUREMENTS Resident and transfer characteristics from Minimum Data Set and project REDCap (Research Electronic Data Capture) database, including demographics, cognitive status, comorbidities, symptoms at time of transfer, and diagnoses. RESULTS: The most common symptoms associated with treatment in the ED only were falls, trauma, or fracture (38% vs 10% admitted). Residents with cognitive impairment were more likely to be admitted to the hospital (odds ratio (OR) = 1.47; 95% confidence interval (CI) = 1.09–1.98; P =.011). Residents with respiratory complaints were more likely to be admitted (OR = 2.098; 95% CI = 1.198–3.675; P =.009); residents with hematological/bleeding (nongastrointestinal) (OR = 0.23; 95% CI = 0.107–0.494; P =.0002), pain (OR = 0.421; 95% CI = 0.254–0.698; P =.0008), or fall/trauma/fracture (OR = 0.181; 95% CI = 0.12–0.272; P <.001) were less likely to be admitted to the hospital. CONCLUSION: Some presenting symptoms and other characteristics are more associated with ED only treatment versus hospitalization. A knowledge of who is likely to receive ED only care could prompt adoption of targeted resources and protocols to further reduce these types of transfer events. Opportunity may exist in the ED as well to reduce hospitalizations and increase discharges back to the facility. [ABSTRACT FROM AUTHOR]

Objectives: To describe the relationship between nursing facility resident risk conditions and signs and symptoms at time of acute transfer and diagnosis of conditions associated with potentially avoidable acute transfers (pneumonia, urinary tract infection, congestive heart failure (CHF), chronic obstructive pulmonary disease (COPD) or asthma, dehydration, pressure sores). Design: As part of a demonstration project to reduce potentially avoidable hospital transfers, Optimizing Patient Transfers, Impacting Medical Quality, Improving Symptoms: Transforming Institutional Care (OPTIMISTIC) project clinical staff collected data on residents who transferred to the emergency department (ED) or hospital. Cross‐tabulations were used to identify associations between risk conditions or symptoms and hospital diagnoses or death. Mixed‐effects logistic regression models were used to describe the significance of risk conditions, signs, or symptoms as predictors of potentially avoidable hospital diagnoses or death. Setting: Indiana nursing facilities (N=19). Participants: Long‐stay nursing facility residents (N=1,174), who experienced 1,931 acute transfers from November 2014 to July 2016. Measurements: Participant symptoms, transfers, risk factors, and hospital diagnoses. Results: We found that 44% of acute transfers were associated with 1 of 6 potentially avoidable diagnoses. Symptoms before transfer did not discriminate well among hospital diagnoses. Symptoms mapped into multiple diagnoses and most hospital diagnoses had multiple associated symptoms. For example, more than two‐thirds of acute transfers of residents with a history of CHF and COPD were for reasons other than exacerbations of those two conditions. Conclusion: Although it is widely recognized that many transfers of nursing facility residents are potentially avoidable, determining “avoidability” at time of transfer is complex. Symptoms and risk conditions were only weakly predictive of hospital diagnoses. [ABSTRACT FROM AUTHOR]

OBJECTIVES: To examine the frequency and reasons for potentially avoidable hospitalizations of nursing home (NH) residents. DESIGN: Medical records were reviewed as a component of a project designed to develop and pilot test clinical practice tools for reducing potentially avoidable hospitalization. SETTING: NHs in Georgia. PARTICIPANTS: In 10 NHs with high and 10 with low hospitalization rates, 10 hospitalizations were randomly selected, including long- and short-stay residents. MEASUREMENTS: Ratings using a structured review by expert NH clinicians. RESULTS: Of the 200 hospitalizations, 134 (67.0%) were rated as potentially avoidable. Panel members cited lack of on-site availability of primary care clinicians, inability to obtain timely laboratory tests and intravenous fluids, problems with quality of care in assessing acute changes, and uncertain benefits of hospitalization as causes of these potentially avoidable hospitalizations. CONCLUSION: In this sample of NH residents, experienced long-term care clinicians commonly rated hospitalizations as potentially avoidable. Support for NH infrastructure, clinical practice and communication tools for health professionals, increased attention to reducing the frequency of medically futile care, and financial and other incentives for NHs and their affiliated hospitals are needed to improve care, reduce avoidable hospitalizations, and avoid unnecessary healthcare expenditures in this population. [ABSTRACT FROM AUTHOR]

During a single illness episode, the sickest, frailest older patients are often treated in multiple distinct sites, including the emergency room, the intensive care unit, a general medical floor, and a skilled nursing facility. Such frequent transfers involve changes in physician, changes in nursing care, the rewriting of orders, and physical dislocation, all of which can adversely affect outcomes. This system, although efficient, increases the chance of medical errors, promotes delirium, and undermines the doctor-patient relationship. Partial solutions include a team approach to care, an electronic medical record, and substitution of home for hospital care. A more comprehensive solution is to create a geriatric hospital for treatment of the most common medical and surgical problems and for provision of rehabilitative or skilled nursing care. Designing new institutions for geriatric care will require new legislation and a new set of regulations but should be considered for the oldest and frailest patients. [ABSTRACT FROM AUTHOR]