Introduction: Many nursing home residents have cognitive impairment that affects their decision making. In order to identify potential markers of impaired decision making, we investigated the association between a range of nursing home resident characteristics and impaired decision making in a population-based sample.
Methods: Participants were 13,013 residents in the 2004 National Nursing Home Survey. We used logistic regression to determine the association between resident characteristics (ie, gender, age, race, mood, recent pain, falls, fractures, or hospitalizations, length of stay, number of activities of daily living (ADL) requiring help, and diagnoses of dementia, anxiety disorders, and depression) and impaired (vs independent) decision making.
Results: After controlling for depression and anxiety diagnoses, as well as gender, age, race, and recent hospitalization or pain, characteristics associated with impaired decision making included depressed, sad, or anxious mood ["mild" odds ratio (OR) = 1.39, 95% confidence interval (CI) = 1.23-1.58; "severe" OR = 2.69, 95% CI = 2.27-3.20); diagnosed dementia or living on a dementia hall (OR = 5.07, 95% CI = 4.52-5.67); number of ADL requiring assistance (with 5 ADL, OR = 10.69, 95% CI = 6.82-16.75); length of nursing home stay [101-365 days (OR = 1.60, 95% CI = 1.36-1.89); 366 days-2 years (OR = 1.60, 95% CI = 1.34-1.90); >2 years (OR = 2.25, 95% CI = 1.92-2.63)]; and history of falls or fractures in the last 6 months (OR = 1.19, 95% CI = 1.07-1.32)]. Residents reporting pain in the last week were less likely to have impaired decision making (OR = 0.58, 95% CI = 0.52-0.66).
Conclusions: We found several independent markers of impaired decision making in nursing home residents, including depressed, sad, or anxious mood (independent of depression or anxiety diagnosis); dementia; and greater need for ADL assistance. Some of these factors, in particular mood, are modifiable and addressing them may help improve decision making. These markers should be explored further to help identify residents with impaired decision making.
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http://dx.doi.org/10.1016/j.jamda.2015.01.080 | DOI Listing |
Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Objective: Evaluate inpatient audiometry on clinical decision-making. Assess stakeholder perspectives on the practice of inpatient audiometry and financial impact.
Study Design: This is a mixed methods study utilizing retrospective chart review, a focus group, and financial analyses.
Genes Chromosomes Cancer
January 2025
Laboratory of Cancer Genetics and Tumor Biology, Translational Medicine Research Unit, Medical Research Center Oulu and Biocenter Oulu, University of Oulu, Oulu, Finland.
Myelodysplastic neoplasia with complex karyotype (CK-MDS) poses significant clinical challenges and is associated with poor survival. Detection of structural variants (SVs) is crucial for diagnosis, prognostication, and treatment decision-making in MDS. However, the current standard-of-care (SOC) cytogenetic testing, relying on karyotyping, often yields ambiguous results in cases with CK.
View Article and Find Full Text PDFBMC Anesthesiol
January 2025
Kaiser Permanente Division of Research, 2000 Broadway, Oakland, CA, 94612, USA.
Background: Clinical determination of patients at high risk of poor surgical outcomes is complex and may be supported by clinical tools to summarize the patient's own personalized electronic health record (EHR) history and vitals data through predictive risk models. Since prior models were not readily available for EHR-integration, our objective was to develop and validate a risk stratification tool, named the Assessment of Geriatric Emergency Surgery (AGES) score, predicting risk of 30-day major postoperative complications in geriatric patients under consideration for urgent and emergency surgery using pre-surgical existing electronic health record (EHR) data.
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Bihar Rural Livelihoods Promotion Society (BRLPS) "JEEVIKA", Patna Bihar, India.
Background: Rural populations in Bihar, India, face significant healthcare access challenges due to geographical, infrastructural, and financial barriers. The Swasthya Mitra program, initiated by the Bihar Rural Livelihood Promotion Society in collaboration with local and international partners, aims to mitigate these challenges by employing trained community members to navigate patients through the healthcare system.
Methods: This qualitative study employed in-depth interview and thematic analysis to evaluate the Swasthya Mitra program in the Bhagalpur and Jamui districts in Bihar, India.
Sci Rep
January 2025
Department of Pathology, Microbiology, and Immunology, School of Veterinary Medicine, University of California, Davis, CA, 95616, USA.
This study utilizes an integrated Geographic Information System (GIS)-based Multi-Criteria Decision-Making (MCDM) approach to perform Solar Power Plant Site Selection (SPPSS) in Kermanshah Province, Iran. It introduces a novel group weighting method, the Dempster-based Best-Worst Method (DBWM), which combines weights vectors derived from experts' opinions. The study also conducts a comprehensive sensitivity analysis comparing four GIS-based models for SPPSS.
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