Improving Delirium Care in Hospitalized Older Adults: Impact of Education on Hospital Aides as Sitters.

As one of several hospital team members involved in the management of care for older adults with delirium, hospital aides (HAs) are often relied on to provide direct patient care in the role of a sitter. Yet, many HAs have not received training about delirium, its associated behaviors, or appropriate interventions. As a consequence, there are gaps in quality of care for older adults with delirium and potential missed opportunities for HA sitters to contribute to the interdisciplinary team (IDT) care of these patients. In the current study, a quality improvement project at an urban hospital provided an educational session on delirium to HAs. Accuracy of HA delirium knowledge, delirium behavior recognition, and delivery of care to patients with delirium significantly increased across three postintervention measures (p = <0.001 to 0.016). HAs also reported increased confidence in caring for patients with delirium and in their perceived role on the IDT. [Journal of Gerontological Nursing, 47(6), 20-26.].

Fall Ascertainment and Development of a Risk Prediction Model Using Electronic Medical Records.

OBJECTIVES: To examine the use of electronic medical record (EMR) data to ascertain falls and develop a fall risk prediction model in an older population. DESIGN: Retrospective longitudinal study using 10 years of EMR data (2004-2014). A series of 3-year cohorts included members continuously enrolled for a minimum of 3 years, requiring 2 years pre-fall (no previous record of a fall) and a 1-year fall risk period. SETTING: Kaiser Permanente Hawaii, an ambulatory setting. PARTICIPANTS: A total of 57 678 adults, age 60 years and older. MEASUREMENTS: Initial EMR searches were guided by current literature and geriatricians to understand coding sources of falls as our outcome. Falls were captured by two coding sources: International Classification of Diseases, Ninth Revision (ICD-9) codes (E880-889) and/or a fall listed as a "primary reason for visit." A comprehensive list of EMR predictors of falls were included into prediction models enabling statistical subset selection from many variables and modeling by logistic regression. RESULTS: Although 72% of falls in the training data set were coded as "primary reason for visit," 22% of falls were coded as ICD-9 and 6% coded as both. About 80% were reported in face-to-face encounters (eg, emergency department). A total of 2164 individuals had a fall in the risk period. Using the 13 key predictors (age, comorbidities, female sex, other mental disorder, walking issues, Parkinson's disease, urinary incontinence, depression, polypharmacy, psychotropic and anticonvulsant medications, osteoarthritis, osteoporosis) identified through LASSO regression, the final model had a sensitivity of 67%, specificity of 69%, positive predictive value of 8%, negative predictive value of 98%, and area under the curve of .74. CONCLUSION: This study demonstrated how the EMR can be used to ascertain falls and develop a fall risk prediction model with moderate sensitivity/specificity. Concurrent work with clinical providers to enhance fall documentation will improve the ability of the EMR to capture falls and consequently may improve the model to predict fall risk.

Suboptimal osteoporosis evaluation and treatment in older men with and without additional high-risk factors for fractures.

We compared osteoporosis case-finding, evaluation and treatment in groups of Older Men and Older Women with age alone as a significant risk for fracture and Older Men with Higher Risk (older men additionally having previous hip fracture, corticosteroid use or androgen deprivation therapy). We studied 13,704 older men and women (≥70 years old) receiving care at a Veterans Affairs medical center from January 2000 to August 2010 whose 10-year hip fracture risk was assessed by limited FRAX score. The main outcome measures were the proportion of patients who had bone mineral density (by dual-energy X-ray absorptiometry [DXA]) and serum 25-hydroxy vitamin D (25-OH D) measurements performed, and calcium/vitamin D or bisphosphonates prescribed. The proportion of men with a 10-year hip fracture risk ≥3% with age alone as a risk was 48% and 88% in men aged 75-79 and ≥80 years, respectively. Compared with Older Women, fewer Older Men underwent DXA (12% vs 63%, respectively) and 25-OH D measurements (18% vs 39%), and fewer received calcium/vitamin D (20% vs 63%) and bisphosphonate (5% vs 44%) prescriptions. In Older Men with Higher Risk category, the proportion of men with 10-year hip fracture risk ≥3% ranged from 69% to 95%. Despite a higher risk and expectation that this group would have greater case detection and screening, few Older Men with Higher risk underwent DXA screening (27%-36%) and 25-OH D measurements (23%-28%), and received fewer calcium/vitamin D (40%-50%) and bisphosphonate (13%-24%) prescriptions. Considering the known morbidity and mortality, our findings underscore the need for improved evaluation and management of osteoporosis in older men at high risk for fracture.