Background: Patient centred care has a correlation to effectiveness of patient engagement, patient care, and perceived quality of care. Even in the emergency room, awareness of diagnosis and treatment plan is a critical component in every doctor-patient interface as it enhances patient-centred care. This study aims to assess awareness of diagnosis and treatment plan among patients in the accident and emergency department.
Methodology: This is a cross-sectional study conducted at the accident and emergency department of the University of Port Harcourt Teaching Hospital.
Result: One hundred and ninety-seven respondents were recruited into this study comprising of 51.3% males and 48.8% females. Most 86.8% of the respondents were aware of their diagnosis, of which 91.8% knew the accurate diagnosis. Majority 84.8% of the respondents were aware of the treatment, while 68.8% of the respondents were aware of the names of the medications, most of the respondents 59.4% had no knowledge of the side effects of the medications. The majority, 61.4% were involved in the management decision. No significant relationship existed between the socio-demographic characteristics and knowledge of diagnosis and treatment plan.
Conclusion: The chaotic and overcrowded nature of the accident and emergency department should not hamper the delivery of patient centred care. Although, findings obtained from this study reveal that majority of the respondents are aware of their diagnosis and treatment plan, a portion of respondents do not understand their plan of care; this indicates the need for further studies to identify interventions that would ensure that gaps in the physician -patient communication are filled as this optimizes patients' satisfaction of care received, gives better sense of control of their total situation and better quality of life.
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http://dx.doi.org/10.60787/nmj-v65i3-416 | DOI Listing |
Lung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFActa Pharm
December 2024
Department of Clinical Pharmacy, University Hospital Dubrava, 10000 Zagreb Croatia.
Cardiovascular diseases (CVDs) are the leading cause of mortality and morbidity globally. It is estimated that 17.9 million people died from CVDs in 2019, which represents 32 % of all deaths worldwide.
View Article and Find Full Text PDFEur Heart J Cardiovasc Imaging
January 2025
Department of Perioperative Cardiology and Cardiovascular Imaging, Centro Cardiologico Monzino IRCCS, Milan, Italy.
Aim: Computed tomography (CT)-derived extracellular volume fraction (ECV) is a non-invasive method to quantify myocardial fibrosis. Evaluating CT-ECV during aortic valve replacement (AVR) planning CT in severe aortic stenosis (AS) may aid prognostic stratification. This meta-analysis evaluated the prognostic significance of CT-ECV in severe AS necessitating AVR.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
School of Nursing, Anhui Medical University, Hefei, China.
Background: Body image issues are prevalent among individuals diagnosed with cancer, leading to detrimental effects on their physical and psychological recovery. eHealth has emerged as a promising approach for enhancing the body image of patients with cancer.
Objective: The purpose of this study was to evaluate the effectiveness of eHealth interventions on body image and other health outcomes (quality of life, physical symptoms, and emotional distress) among patients with cancer.
Noise Health
January 2025
Department of Geriatric Health Internal Medicine, Qingdao Municipal Hospital, Qingdao 266000, China.
Objective: Evaluate the effect of white noise intervention on sleep quality and immunological indicators of patients with breast cancer undergoing neoadjuvant chemotherapy (NAC).
Methods: From January 2020 to December 2022, 104 newly diagnosed female patients (the number of people who met the inclusion criteria) with breast cancer who were confirmed to be preoperative NAC by puncture pathology were selected for a randomised single-blind trial. The patients were randomly divided into an observation group and a control group, with 52 cases in each group.
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