Background: Dementia is a common diagnosis in older people. It is important to identify and record dementia on emergency call-outs, as it impacts on subsequent care decisions. Ambulance services are changing from paper to electronic patient records, but there are limited data on how frequently and in which sections of the electronic patient record dementia is being recorded.
Aims: To audit the proportion of ambulance electronic patient records where dementia is recorded for patients aged (i) 65 and above and (ii) 75 and above, and to describe the sections in the electronic patient record in which dementia is recorded, as there is currently no standardised button or field available.
Results: A total of 314,786 electronic patient records were included in the audit, over a one-year period. The proportion of attended calls with 'dementia' recorded in the electronic patient record in patients aged 65+ was 13.5%, increasing to 16.5% in patients aged 75+, which is similar to that recorded in previous literature. For patients aged 75+ conveyed to hospital, 15.2% had 'dementia' recorded in the electronic patient record, which may indicate under-recording. Recording of dementia between Clinical Commissioning Groups varied between 11.0% and 15.3%. Dementia was recorded in 16 different free-text fields, and 38.4% of records had dementia recorded in more than one field.
Conclusion: This audit demonstrates high variability in both the frequency of recording dementia and also the location in the electronic patient record. To ensure consistent recording and ease of retrieval to inform patient care and handover, we propose that the electronic patient record should be modified to reflect paramedics' needs, and those of the healthcare staff who receive and act on the report. Enhanced training for paramedics in the importance and method of recording dementia is required. Future data will enable accurate monitoring of trends in conveyance, and inform justifications for alternative services and novel referral pathways.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7706762 | PMC |
http://dx.doi.org/10.29045/14784726.2018.03.2.4.10 | DOI Listing |
JMIR Res Protoc
January 2025
Department of Women's and Children's Health, Participatory eHealth and Health Data Research Group, Uppsala University, Uppsala, Sweden.
Background: Digital health interventions have become increasingly popular in recent years, expanding the possibilities for treatment for various patient groups. In clinical research, while the design of the intervention receives close attention, challenges with research participant engagement and retention persist. This may be partially due to the use of digital health platforms, which may lack adequacy for participants.
View Article and Find Full Text PDFJ Neurosurg Spine
January 2025
2Department of Neurosurgery, University of Alabama at Birmingham, Alabama.
Objective: The aim of this study was to evaluate the association of neighborhood-level and individual-level measures of socioeconomic status with readmission, complication rates, and postoperative length of stay of patients with cervical spondylotic myelopathy (CSM) in the Deep South.
Methods: The authors identified all patients undergoing surgical intervention for the treatment of CSM from November 2010 to February 2022 using Current Procedural Terminology and ICD-9/ICD-10 codes. Patient demographic, socioeconomic, perioperative, and postoperative data for each patient were collected via review of the electronic medical record.
JCO Clin Cancer Inform
January 2025
Emory University School of Medicine, Atlanta, GA.
Purpose: Immune checkpoint inhibitors (ICIs) have demonstrated promise in the treatment of various cancers. Single-drug ICI therapy (immuno-oncology [IO] monotherapy) that targets PD-L1 is the standard of care in patients with advanced non-small cell lung cancer (NSCLC) with PD-L1 expression ≥50%. We sought to find out if a machine learning (ML) algorithm can perform better as a predictive biomarker than PD-L1 alone.
View Article and Find Full Text PDFAcad Med
December 2024
R.H. Kon is associate professor of medicine, Department of Medicine, University of Virginia School of Medicine, Charlottesville, Virginia; ORCID: https://orcid.org/0000-0002-3326-5203.
ProblemLongitudinal patient relationships can positively affect medical students' professional identity formation (PIF), understanding of illness, and socialization within medical practice, but a longitudinal integrated clerkship (LIC) model is not always feasible. The authors describe the novel Patient Student Partnership (PSP) program, which provides authentic roles for students in mentored longitudinal patient relationships while maintaining a traditional block clerkship model.ApproachThe PSP program at the University of Virginia School of Medicine pairs all matriculating medical students with a patient living with chronic illness to follow across multiple health care settings until graduation.
View Article and Find Full Text PDFOphthalmic Plast Reconstr Surg
January 2025
Department of Ophthalmology, Tufts University School of Medicine, Boston, Massachusetts, U.S.A.
Purpose: To employ a validated survey for evaluation of quality of life (QoL) outcomes and associated factors in a US cohort of adult patients with acquired anophthalmia wearing a prosthesis.
Methods: A retrospective cohort study was performed at a single, US academic institution of patients cared for between 2012 and 2021. The electronic medical record database was queried for adult patients with a history of evisceration or enucleation surgery and placement of an orbital implant.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!