Association between emergency department modifiable risk factors and subsequent delirium among hospitalized older adults.

STUDY OBJECTIVE: To evaluate the association between potential emergency department (ED)-based modifiable risk factors and subsequent development of delirium among hospitalized older adults free of delirium at the time of ED stay. METHODS: Observational cohort study of patients aged ≥75 years who screened negative for delirium in the ED, were subsequently admitted to the hospital, and had delirium screening performed within 48 h of admission. Potential ED-based risk factors for delirium included ED length of stay (LOS), administration of opioids, benzodiazepines, antipsychotics, or anticholinergics, and the placement of urinary catheter while in the ED. Odds ratios (OR) and mean differences (MD) with 95% confidence intervals (CIs) were calculated. RESULTS: Among 472 patients without delirium in the ED (mean age 84 years, 54.2% females), 33 (7.0%) patients developed delirium within 48 h of hospitalization. The ED LOS of those who developed delirium was similar to those who did not develop delirium (312.1 vs 325.6 min, MD -13.5 min, CI -56.1 to 29.0). Patients who received opioids in the ED were as likely to develop delirium as those who did not receive opioids (7.2% vs 6.9%: OR 1.04, CI 0.44 to 2.48). Patients who received benzodiazepines had a higher risk of incident delirium, the difference was clinically but not statistically significant (37.3% vs 6.5%, OR 5.35, CI 0.87 to 23.81). Intermittent urinary catheterization (OR 2.05, CI 1.00 to 4.22) and Foley placement (OR 3.69, CI 1.55 to 8.80) were associated with a higher risk of subsequent delirium. After adjusting for presence of dementia, only Foley placement in the ED remained significantly associated with development of in-hospital delirium (adjusted OR 3.16, CI 1.22 to 7.53). CONCLUSION: ED LOS and ED opioid use were not associated with higher risk of incident delirium in this cohort. Urinary catheterization in the ED was associated with an increased risk of subsequent delirium. These findings can be used to design ED-based initiatives and increase delirium prevention efforts.

Pressure Injury Knowledge in Critical Care Nurses.

PURPOSE: The purpose of this study was to identify pressure injury knowledge in critical care nurses related to prevention and staging following multimodal education initiatives. DESIGN: Postintervention descriptive study. SETTING AND SAMPLE: The sample comprised 32 RNs employed in medical intensive care/coronary intensive care or surgical intensive care units. The study setting was a 237-bed Veterans Affairs acute care hospital in the Midwestern United States. METHODS: Critical care RNs were asked to participate in this project over a 3-week period following a multimodal 2-year education initiative. Nurses completed the paper version of the 72-item Pieper-Zulkowski Pressure Ulcer Knowledge Test (PZ-PUKT) to determine pressure injury knowledge level. Calculated mean cumulative scores and subscores for items related to prevention and staging, respectively. Pearson correlations were used to examine associations between nursing staff characteristics and the PZ-PUKT prevention and staging scores. RESULTS: The cumulative score on the PZ-PUKT was 51.66 (72%); nurses with 5 to 10 years' experience had a higher mean score than nurses with experiences of 20 years or more (mean ± SD = 54.25 ± 4.37 vs 49.5 ± 7.12), but the difference was not statistically significant. Nurses scored higher on the staging system-related items as compared to the prevention-related items (81% vs 70%). Nurses achieved higher staging subscale scores if they were younger (r =-0.41, P < .05), had less experience (r =-0.43, P < .05), and if they worked in the medical intensive care unit (r = 0.37, P < .05). CONCLUSIONS: Study findings indicate gaps in knowledge related to pressure injury practice; participants had greater knowledge of staging rather than prevention. Cumulative and subscale findings can be used to direct educational efforts needed to improve and maintain an effective pressure injury prevention program.

Linkage of 1986-2009 National Health Interview Survey with 1981-2010 Florida Cancer Data System.

BACKGROUND: National survey data linked with state cancer registry data has the potential to create a valuable tool for cancer prevention and control research. A pilot project-developed in a collaboration of the Centers for Disease Control and Prevention's National Center for Health Statistics (NCHS) and the Florida Cancer Data System (FCDS) at the University of Miami -links the records of the 1986-2009 National Health Interview Survey (NHIS) and the 1981-2010 FCDS. The project assesses the feasibility of performing a record linkage between NCHS survey data and a state-based cancer registry, as well as the value of the data produced. The linked NHIS-FCDS data allow researchers to follow NHIS survey participants longitudinally to examine factors associated with future cancer diagnosis, and to assess the characteristics and quality of life among cancer survivors. METHODS: This report provides a preliminary evaluation of the linked national and state cancer data and examines both analytic issues and complications presented by the linkage. CONCLUSIONS: Residential mobility and the number of years of data linked in this project create some analytic challenges and limitations for the types of analyses that can be conducted. However, the linked data set offers the ability to conduct analyses not possible with either data set alone.

Delirium in hospitalized older adults.

Delirium is a common and underdiagnosed problem in hospitalized older adults. It is associated with an increased risk of poor cognitive and functional outcomes, institutionalization, and death. Timely diagnosis of delirium and non-pharmacological prevention and management strategies can improve patient outcomes. The Confusion Assessment Method (CAM) is the most widely used clinical assessment tool for the diagnosis of delirium. Multiple variations of the CAM have been developed for ease of administration and for the unique needs of specific patient populations, including the 3-min diagnostic CAM (3D CAM), CAM-Intensive Care Unit (CAM-ICU), Delirium Triage Screen (DTS)/Brief CAM (b-CAM), 4AT tool, and ultrabrief delirium assessment. Strong evidence supports the effectiveness of nonpharmacologic strategies as the primary intervention for the prevention of delirium. Multicomponent delirium prevention strategies can reduce the incidence of delirium by 40%. Investigation of underlying medical precipitants and optimization of non-pharmacological interventions are first line in the management of delirium. Despite a lack of evidence supporting use of antipsychotics, low dose antipsychotics remain second line for off-label treatment of distressing psychoses and/or agitated behaviors that are refractory to non-pharmacological behavioral interventions and pose an imminent risk of harm to self or others. Any antipsychotic prescription for delirium should be accompanied by an appropriate taper plan. Follow up with primary care providers on discharge from hospital for ongoing screening of cognitive impairment is important.

Polypharmacy in older adults: the role of the multidisciplinary team.

Patients over the age 65 are a quickly expanding segment of the US population and represent a large percentage of patients requiring inpatient care. Older adults are more likely to experience polypharmacy and adverse drug effects. This review explains the risks of polypharmacy and potentially inappropriate medications in the elderly. Specific classes of medications frequently used in older adults in acute care settings are examined, including anticholinergic, sedative hypnotics, and antipsychotic medications. We discuss strategies aimed at addressing polypharmacy in this population including a drug regimen review (which is distinct from medication reconciliation), screening tools, pharmacist-led interventions, and computer-based strategies in the context of current literature and research findings. We provide a summary of general guidelines that may be helpful for geriatricians and hospitalists in improving patient care and clinical outcomes.

Fall Risk and Outcomes Among Patients Hospitalized With Cardiovascular Disease in the Community.

Background As the population with cardiovascular disease ages, geriatric conditions are of increasing relevance. A possible geriatric prognostic indicator may be a fall risk score, which is mandated by The Joint Commission to be measured on all hospitalized patients. The prognostic value of a fall risk score on outcomes after dismissal is not well known. Thus, we aimed to determine whether a fall risk score is associated with death and hospital readmissions in patients with a recent incident cardiovascular disease event. Methods and Results In this retrospective cohort study, Olmsted County, MN patients with incident heart failure, myocardial infarction, or atrial fibrillation between August 1, 2005, and December 31, 2011, who were hospitalized within 180 days after the event were studied. Fall risk was measured by the Hendrich II fall risk model. Patients were followed for death or readmission within 30 days or 1 year. Among 2456 hospitalized patients with recent incident cardiovascular disease (549 heart failure, 784 myocardial infarction, 1123 atrial fibrillation; mean [SD] age, 71 [15] years; 55% men), the fall risk score was high in 22% of patients and moderate in 38%. The risk of death was increased if the fall risk score was increased, independent of age and comorbidities (moderate hazard ratio, 1.51; 95% CI, 1.09-2.08; high hazard ratio, 3.49; 95% CI, 2.52-4.85). Similarly, the risk of 30-day readmissions was substantially increased with a greater fall risk score (moderate hazard ratio, 1.29; 95% CI, 1.03-1.62; high hazard ratio, 1.63; 95% CI, 1.23-2.15). Results were similar for readmissions within 1 year. Conclusions More than half of hospitalized patients with recent incident cardiovascular disease have an elevated fall risk score, which is associated with an increased risk in readmissions and death. These results delineate an approach for risk stratification and management that may prevent readmissions and improve survival.

The relationship between linkage refusal and selected health conditions of survey respondents.

To maximize limited resources and reduce respondent burden, there is an increased interest in linking population health surveys with other sources of data, such as administrative records. Health differences between adults who consent to and refuse linkage could bias study results with linked data. National Health Interview Survey (NHIS) data are routinely linked to administrative records from the Social Security Administration and the Centers for Medicare and Medicaid Services. Using the NHIS 2010-2013, we examined the association between selected health conditions and respondents' linkage refusal. Linkage refusal was significantly lower for adults with serious psychological distress, chronic obstructive pulmonary disease, diabetes, heart disease, stroke, hypertension, and cancer compared to those without these conditions. Linkage refusal decreased as the number of conditions increased and health status decreased. Our finding that linkage consent was associated with respondents' health characteristics suggests that researchers should try to address potential linkage bias in their analyses.

Changes in written sign-out composition across hospitalization.

BACKGROUND: Inaccurate or incomplete information in the written portion of the patient handoff, or sign-out, may be associated with adverse events in hospitalized patients. Little is known about what information providers actually include in written sign-out documents and how sign-outs change over time. OBJECTIVES: (1) Provide a descriptive analysis of initial and subsequent hospital day-written sign-out content, and (2) evaluate the relationship between team workload and sign-out composition. DESIGN: Retrospective review of sign-out documents from a larger observational study of general medicine patients admitted to housestaff and hospitalist teams at 3 hospitals. MAIN MEASURES: The presence of 13 components of a high-quality sign-out. We performed descriptive analyses and compared initial and subsequent day sign-outs for content. KEY RESULTS: We reviewed 200 patient hospitalizations (200 initial handoffs, 580 subsequent day handoffs). Initial sign-out entries contained a mean of 7.54 (standard deviation: 2.27) key sign-out components. Subsequent day sign-outs contained a higher percentage of certain key elements but had more vague language. The number of elements present in the sign-out was reduced as patient census increased (r = -0.295, P < 0.01). CONCLUSIONS: Sign-out composition changes over time, and is associated with workload. Future interventions to improve quality should take these factors into consideration.