In this study, we performed a validation analysis of a crosswalk that converts Functional Independence Measure (FIM) scores to Minimum Data Set (MDS) scores and vice versa in order to achieve score compatibility. Data from 2,130 patients were obtained from the Department of Veteran Affairs' Austin Automation Center. The conversion algorithm was tested at the (1) individual patient level, (2) cl...

OBJECTIVE to evaluate the accuracy of nursing home (NH) staff in documenting two Minimum Data Set (MDS) items that are used to identify residents at risk for undernutrition, low oral intake and food complaints, using standardized observation and interview assessment protocols implemented by research staff. DESIGN AND METHODS MDS information related to low oral intake (item K4c: <75% of most m...

OBJECTIVE To examine the total and domain-specific prevalence of verbally and physically abusive, socially inappropriate, and care-resistive behaviors according to the Minimum Data Set (MDS) compared with research instruments in nursing home residents with severe dementia. DESIGN, SETTING, AND METHODS As part of a longitudinal observational study, MDS behavioral symptoms data were compared wi...

The Minimum Data Set (MDS) is a uniform instrument used in nursing homes to assess residents. In January 2008, the Centers for Medicare and Medicaid Services published a draft of a new MDS-version 3.0. This article traces the instrument's development and the design decisions that shaped it, discusses the MDS's manifest functions-data collection intended to drive quality improvement and the unin...

OBJECTIVES Hospitalizations expose nursing home (NH) residents to disruptions in care, iatrogenic events and related morbidity, and result in excess health care costs. Research has shown that a substantial proportion of these hospitalizations may be avoidable and that reducing such hospitalizations could save Medicare dollars that could be re-invested in improving the quality of care in US NHs....

OBJECTIVES Compare profiles of African Americans with multiple sclerosis (MS) to White residents with MS one year after admission to a nursing facility. METHODS We used all admission assessments recorded in the national Minimum Data Set (MDS) from 1999 to 2001 as well as all MDS annual assessments recorded from 2000 to 2002. We matched admission assessments with first annual assessment for 36...

Numerous successful scientific results have emerged from projects using shared biobanked samples and data. In order to facilitate the discovery of underutilized biobank samples, it would be helpful if a global biobank register containing descriptive information about the samples existed. But first, for shared data to be comparable, it needs to be harmonized. In compliance with the aim of BBMRI ...

The purpose of the current study was to explore how Minimum Data Set (MDS) coordinators perceive their role and the assessment process. Eleven MDS coordinators from 10 geographically dispersed nursing homes (NHs) were interviewed between May and September 2013. Four broad themes emerged from content analysis: (a) information gathering, (b) interdisciplinary coordination, (c) role challenges, an...

This study presents a novel quadratic programming based approach to glottal inverse filtering. The proposed method aims to jointly model the effect of the vocal tract and lip radiation with a single filter whose coefficients are optimized using the quadratic programming framework. This allows the proposed method to directly estimate the glottal flow of speech, which mitigates the problem of non...

OBJECTIVE Nursing Minimum Data Sets can be used to compare nursing care across clinical populations, settings, geographical areas, and time. NMDS can support nursing research, nursing management, and nursing politics. However, in contrast to other countries, Austria does not have a unified NMDS. The objective of this study is to identify possible data elements for an Austrian NMDS. METHODS A ...