Stephen L Luther

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In rehabilitation nursing, the patient classification systems or acuity models and nurse-staffing ratios are not supported by empirical evidence. Moreover there are no studies published characterizing nursing hours per patient day, proportion of RN staff and impact of agency nurses in inpatient rehabilitation settings. The purpose of this prospective(More)
Unintentional injury due to falls is a serious and expensive health problem among the elderly. This is especially true in the Veterans Health Administration (VHA) ambulatory care setting, where nearly 40% of the male patients are 65 or older and at risk for falls. Health service researchers and clinicians can utilize VHA administrative data to identify and(More)
Statistical text mining was used to supplement efforts to develop a clinical vocabulary for post-traumatic stress disorder (PTSD) in the VA. A set of outpatient progress notes was collected for a cohort of 405 unique veterans with PTSD and a comparison group of 392 with other psychological conditions at one VA hospital. Two methods were employed: (1)(More)
OBJECTIVE To determine how well statistical text mining (STM) models can identify falls within clinical text associated with an ambulatory encounter. MATERIALS AND METHODS 2241 patients were selected with a fall-related ICD-9-CM E-code or matched injury diagnosis code while being treated as an outpatient at one of four sites within the Veterans Health(More)
This study focuses on investigating the computerized medical record, including textual progress notes, using data and text mining techniques to examine patient fall-related injuries (FRIs) in the Veterans Administration (VA) ambulatory care setting. FRIs are high cost, high volume adverse events in the VA that are difficult to identify from VA(More)
In 2007, suicide was the tenth leading cause of death in the U.S. Given the significance of this problem, suicide was the focus of the 2011 Informatics for Integrating Biology and the Bedside (i2b2) Natural Language Processing (NLP) shared task competition (track two). Specifically, the challenge concentrated on sentiment analysis, predicting the presence(More)
OBJECTIVE This prospective longitudinal study aims to determine the risk factors of wandering-related adverse consequences in community-dwelling persons with mild dementia. These adverse consequences include negative outcomes of wandering (falls, fractures, and injuries) and eloping behavior. METHODS We recruited 143 dyads of persons with mild dementia(More)
Objectives: Most elderly nursing home residents who need wheelchairs are not being assessed individually to ensure proper prescription for safe and effective mobility. This study evaluated the use of a new screening tool, the Resident Ergonomic Assessment Profile for Seating (REAPS). Methods: This descriptive study design examined the reliability and(More)