Objective: To assess the utility and challenges of using natural language processing (NLP) in electronic health records (EHRs) to ascertain health-related social needs (HRSNs) among older adults.
Study Setting And Design: We extracted HRSN information using the NLP system Clinical Text Analysis and Knowledge Extraction System (cTAKES), combined with Concept Unique Identifiers and Systematized Nomenclature for Medicine codes. We validated cTAKES performance, via manual chart review, on two HRSNs: food insecurity, which was included in the healthcare system's HRSN screening tool, and housing insecurity, which was not.
Purpose: Harmonizing variables for constructs measured differently across studies is essential for comparing, combining, and generalizing results. We developed and fielded a brief survey to harmonize Likert and continuous versions of measures for two constructs, self-rated health and self-rated memory, for use in studies of French older adults.
Methods: We recruited 300 participants from a French memory clinic in 2023 to answer both the Likert and continuous versions of self-rated health and self-rated memory questions.
Purpose: National Comprehensive Cancer Network Guidelines recommend initiating postoperative radiation therapy (PORT) within 6 weeks of surgery for patients with head and neck squamous cell carcinoma (HNSCC), but delays affect 50% of patients, disproportionately burden minoritized groups, and contribute to worse oncologic outcomes. This trial evaluates the efficacy of Navigation for Disparities and Untimely Radiation thErapy (NDURE), an enhanced navigation-based intervention, relative to usual care (UC) patient navigation for starting timely PORT.
Methods: Adults with locally advanced HNSCC planning to undergo surgery and PORT were randomly assigned 1:1 to standard multidisciplinary head and neck oncology care and either NDURE, a multilevel navigation-based intervention to enhance key processes of care and overcome barriers to timely PORT, or UC, which consisted of standard patient navigation.
Alzheimers Dement (N Y)
December 2024
Introduction: The professional caregiver workforce (nursing assistants and personal care aides) is critical to quality of care and quality of life in nursing home (NH) and assisted living (AL) settings. The work is highly stressful, so improving responses to stress in this workforce could contribute to satisfaction and retention. This research developed a coping measure appropriate for the diverse professional caregiver workforce.
View Article and Find Full Text PDFIntroduction: Professional caregivers (nursing assistants and personal care aides) in nursing homes (NH) and assisted living (AL) provide the majority of long-term residential care for persons with Alzheimer's disease and related dementias. Their work is stressful, but until recently, no measures were available to assess stress in this workforce. Using the new Long-Term Care Cope (LTC COPE) scale, this study evaluates the relationship of coping with staff demographic characteristics and outcomes; the findings can be used to develop and evaluate interventions to improve staff well-being.
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