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Despite important advances in the linkage of residents' Medicare claims and Minimum Data Set (MDS) information, the data infrastructure for long-term care remains inadequate for public health surveillance and clinical research. It is widely known that the evidence base supporting treatment decisions for older nursing home residents is scant as residents are systematically excluded from clinical trials. Electronic health records (EHRs) hold the promise to improve this population's representation in clinical research, especially with the more timely and detailed clinical information available in EHRs that are lacking in claims and MDS. The COVID-19 pandemic shined a spotlight on the data gap in nursing homes. To address this need, the National Institute on Aging funded the Long-Term Care (LTC) Data Cooperative, a collaboration among providers and stakeholders in academia, government, and the private sector. The LTC Data Cooperative assembles residents' EHRs from major specialty vendors and facilitates linkage of these data with Medicare claims to create a comprehensive, longitudinal patient record. These data serve 4 key purposes: (1) health care operations and population health analytics; (2) public health surveillance; (3) observational, comparative effectiveness research; and (4) clinical research studies, including provider and patient recruitment into Phase 3 and Phase 4 randomized trials. Federally funded researchers wanting to conduct pragmatic trials can now enroll their partnering sites in this Cooperative to more easily access the clinical data needed to close the evidence gaps in LTC. Linkage to Medicare data facilitates tracking patients' long-term outcomes after being discharged back to the community. As of August 2022, nearly 1000 nursing homes have joined, feedback reports to facilities are being piloted, algorithms for identifying infections are being tested, and proposals for use of the data have been reviewed and approved. This emerging EHR system is a substantial innovation in the richness and timeliness of the data infrastructure of the nursing home population.
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http://dx.doi.org/10.1016/j.jamda.2022.09.006 | DOI Listing |
Nurs Crit Care
September 2025
School of Nursing and Midwifery, Monash University, Frankston, Victoria, Australia.
Background: Optimal oral care is essential in preventing non-ventilator hospital-associated pneumonia and enhancing patient comfort. However, nurses' clinical oral care practices for patients not on mechanical ventilation in the intensive care unit are both underreported and understudied.
Aim: To explore intensive care nurses' clinical oral care practices for patients not on mechanical ventilation in intensive care units.
J Adv Nurs
September 2025
Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
Aims: To assess self-reported practices and knowledge of nurses and prescribers (i.e., physicians and nurse practitioners) on intravenous fluid therapy, and to evaluate how this is documented through a clinical documentation review.
View Article and Find Full Text PDFNeurorehabil Neural Repair
September 2025
Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle upon Tyne, UK.
Background: Gait impairment in Parkinson's disease (PD) occurs early and pharmaceutical interventions do not fully restore this function. Visual cueing has been shown to improve gait and alleviate freezing of gait (FOG) in PD. Technological development of digital laser shoe visual cues now allows for visual cues to be used continuously when walking.
View Article and Find Full Text PDFJMIR Biomed Eng
August 2025
Cardiovascular Center and Divisions of Cardiology and Hospital Medicine, Department of Internal Medicine, National Taiwan University Hospital, No.7, Chung Shan S Rd, Taipei, 100225, Taiwan, 886 2-2312-3456.
Background: Photoplethysmography (PPG) signals captured by wearable devices can provide vascular age information and support pervasive and long-term monitoring of personal health condition.
Objective: In this study, we aimed to estimate brachial-ankle pulse wave velocity (baPWV) from wrist PPG and electrocardiography (ECG) from smartwatch.
Methods: A total of 914 wrist PPG and ECG sequences and 278 baPWV measurements were collected via the smartwatch from 80 men and 82 women with average age of 63.
Haematologica
September 2025
Division of Hematology, Jichi Medical University Saitama Medical Center, Saitama, Japan; Division of Hematology, Department of Medicine, Jichi Medical University, Shimotsuke.
Patient age might influence donor selection priorities in allogeneic hematopoietic stem cell transplantation (allo-HCT), due to the differences in donor age, organ function, and resistance to graft-versus-host disease between younger and older patients. We compared the transplant outcomes among human leukocyte antigen (HLA)-matched related donors (M-RDs, n=4,106), HLA 1-antigen-mismatched related donors (1MM-RDs, n=592), HLA 2-3-antigen-mismatched related donors (23MM-RDs, n=882), HLA-matched unrelated donors (M-UDs, n=3,927), HLA 1-locus-mismatched unrelated donors (1MM-UDs, n=2,474), and unrelated cord blood units (U-CBs, n=5,867) between patients aged.
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