What do patients with rheumatoid arthritis know about their own biomedical data related to cardiovascular disease risks?

Eur J Rheumatol

Department of Rheumatology, Hillingdon NHS Foundation Trust, Uxbridge, UK.

Published: October 2021

Objective: Rheumatoid arthritis (RA) is a chronic condition characterized by articular and non-articular features. Patients with RA have an increased risk of developing cardiovascular disease. This study aimed to ascertain what patients with RA know about their numbers (biomedical data, including blood pressure, cholesterol, disease activity score-28 joints [DAS28], and body mass index [BMI]) and to understand the barriers to patients knowing these health indicators and how their knowledge can be improved.

Methods: A total of 50 consecutive patients from a clinic were approached to complete an anonymous survey in a nurse-led clinic. The questionnaire included 10 questions that assessed the demographic data, knowledge of biomedical data, importance of these data, and how their awareness could be increased.

Results: A total of 40 patients responded to the questionnaire; the estimated mean age was 58.1±13.4 (mean±standard deviation) years. Most respondents were females (87%). The highest disease category duration was 2-5 years (40% patients). Moreover, 30% of respondents were aware of the "know your numbers" concept; 90% did not know their BMI, and 75% did not know about their DAS28 score. Furthermore, 40% reported that they were not informed about their biomedical data; 95% of patients revealed that they would like to know their numbers; 27.5% suggested that a regularly updated and explained written record would be appropriate, and 35% proposed that a multidisciplinary input would be useful in regularly informing them of the numbers.

Conclusion: This study has shown that although patients are not very familiar with all of their biomedical data, they are interested in knowing them. Knowing their biomedical data may encourage them to be more concerned about their health and even lead to improved RA self-management and health outcomes.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10176237PMC
http://dx.doi.org/10.5152/eurjrheum.2021.20021DOI Listing

Publication Analysis

Top Keywords

biomedical data
24
patients
9
rheumatoid arthritis
8
data
8
cardiovascular disease
8
biomedical
6
patients rheumatoid
4
arthritis biomedical
4
data cardiovascular
4
disease
4

Similar Publications

Usefulness of Myelin Quantification Using Synthetic Magnetic Resonance Imaging for Predicting Outcomes in Patients With Acute Ischemic Stroke.

Stroke

January 2025

Department of Clinical Neuroscience and Therapeutics, Graduate School of Biomedical and Health Sciences, Hiroshima University, Japan (M.T., T.N., S.A., H.M.).

Background: Synthetic magnetic resonance imaging (MRI) is an innovative MRI technology that enables the acquisition of multiple quantitative values, including T1 and T2 values, proton density, and myelin volume, in a single scan. Although the usefulness of myelin measurement with synthetic MRI has been reported for assessing several diseases, investigations in patients with stroke have not been reported. We aimed to explore the utility of myelin quantification using synthetic MRI in predicting outcomes in patients with acute ischemic stroke.

View Article and Find Full Text PDF

Research typically promotes two types of outcomes (inventions and discoveries), which induce a virtuous cycle: something suspected or desired (not previously demonstrated) may become known or feasible once a new tool or procedure is invented and, later, the use of this invention may discover new knowledge. Research also promotes the opposite sequence-from new knowledge to new inventions. This bidirectional process is observed in geo-referenced epidemiology-a field that relates to but may also differ from spatial epidemiology.

View Article and Find Full Text PDF

Unlabelled: Many breast cancer survivors experience cancer-related fatigue (CRF), and several interventions to treat CRF are available. One way to tailor intervention advice is based on patient preferences. In this study, we explore preference heterogeneity regarding between-attribute and within-attribute preferences.

View Article and Find Full Text PDF

Global Perspectives on Returning Genetic Research Results in Parkinson Disease.

Neurol Genet

December 2024

From the Division of Neurology (A.H.T., S.-Y.L.), Department of Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; Programa de Pós-Graduação em Ciências Médicas da Universidade Federal do Rio Grande do Sul (P.S.-A.), Clínica Santa María, Santiago, Chile; Departamento de Farmacologia (A.F.S.S.), Universidade Federal do Rio Grande do Sul; Serviço de Neurologia (A.F.S.S.), Hospital de Clínicas de Porto Alegre, Brazil; Institute of Neurogenetics (H.M., M.L.D., C.K.), University of Lübeck, Germany; Department of Biomedical Science (A.A.-A.), Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia; The Michael J. Fox Foundation for Parkinson's Research (J.S., B.F.), New York; Department of Medical and Molecular Genetics (C.E.W.), Indiana University, Indianapolis; Department of Neuroscience and Brain Health (M.L.D.), Metropolitan Medical Center, Manila, Philippines; Centre for Preventive Neurology (S.D., M.T.P., A.J.N.), Wolfson Institute of Population Health, Queen Mary University of London, United Kingdom; Unidad de Trastornos del Movimiento (M.T.P.), Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla, Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Spain; Laboratory of Neurogenetics (M.B.M.), National Institute on Aging, National Institutes of Health, Bethesda, MD; Department of Clinical and Movement Neurosciences (M.B.M., H.R.M.), UCL Queen Square Institute of Neurology, University College London, United Kingdom; Department of Neurology (R.N.A.), Columbia University Irving Medical Center, New York; Movement Disorders Division (R.N.A.), Neurological Institute, Tel Aviv Sourasky Medical Center and Tel Aviv School of Medicine, Tel Aviv University, Israel; Molecular Medicine Laboratory and Neurology Department (K.R.K.), Concord Clinical School, Concord Repatriation General Hospital, The University of Sydney; Translational Neurogenomics Group (K.R.K.), Genomic and Inherited Disease Program, Garvan Institute of Medical Research; and St Vincent's Healthcare Campus (K.R.K.), Faculty of Medicine, UNSW Sydney, Darlinghurst, New South Wales, Australia.

Background And Objectives: In the era of precision medicine, genetic test results have become increasingly relevant in the care of patients with Parkinson disease (PD). While large research consortia are performing widespread research genetic testing to accelerate discoveries, debate continues about whether, and to what extent, the results should be returned to patients. Ethically, it is imperative to keep participants informed, especially when findings are potentially actionable.

View Article and Find Full Text PDF

Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach.

Risk Manag Healthc Policy

January 2025

Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, New Taipei City, 235603, Taiwan.

Purpose: As HF progresses into advanced HF, patients experience a poor quality of life, distressing symptoms, intensive care use, social distress, and eventual hospital death. We aimed to investigate the relationship between morality and potential prognostic factors among in-patient and emergency patients with HF.

Patients And Methods: A case series study: Data are collected from in-hospital and emergency care patients from 2014 to 2021, including their international classification of disease at admission, and laboratory data such as blood count, liver and renal functions, lipid profile, and other biochemistry from the hospital's electrical medical records.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!