AI Article Synopsis

  • Patients in emergency departments experience more stress than those in outpatient settings, particularly regarding Medically Unexplained Physical Symptoms (MUS).
  • A study involving 138 MUS patients found that 75% attributed their symptoms to psychosocial factors, correlating with higher perceived stress levels compared to those attributing their symptoms to organic causes.
  • The findings suggest healthcare professionals should consider both psychosocial factors and stress management when treating MUS patients to improve patient care.

Article Abstract

Background: Patients who come to the emergency department are different from those seen in outpatient clinics. The former suffer greater stress.

Aim: Establish an association between the attribution of the symptoms (psychosocial or organic) by the patient and the level of perceived stress in patients with Medically Unexplained Physical Symptoms (MUS) in an emergency department.

Methods: A correlational cross-sectional study was conducted in 138 patients with MUS in the emergency department of a 3rd level public hospital where the psychosocial or organic attribution of nonspecific symptom(s) by patients and the perceived stress were measured with validated scales. Bivariate analysis was performed with Chi square for categorical variables, and a Spearman correlation, p <0.05.

Results: 75% of patients with psychosocial attribution have higher stress compared to patients with organic symptom attribution (25%). In Spearman's correlation, a medium but statistically significant correlation was obtained.

Conclusions: The psychosocial attribution of the patient's complaint might coexist in MUS patients with higher level of perceived stress by the patients. Health professionals might need to address both psychosocial attributions and stress in MUS patients.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9731031PMC
http://dx.doi.org/10.4103/jfmpc.jfmpc_2254_21DOI Listing

Publication Analysis

Top Keywords

emergency department
12
patients medically
8
medically unexplained
8
psychosocial organic
8
perceived stress
8
mus emergency
8
patients
5
symptom attribution
4
attribution stress
4
stress level
4

Similar Publications

Assessing the Risk for Falls in Older Adults After Initiating Gabapentin Versus Duloxetine.

Ann Intern Med

January 2025

Center for Healthcare Delivery Sciences, Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts (R.J.D., N.K.C., N.H., J.C.L.).

Background: The evidence informing the harms of gabapentin use are at risk of bias from comparing users with nonusers.

Objective: To describe the risk for fall-related outcomes in older adults starting treatment with gabapentin versus duloxetine.

Design: New user, active comparator study using a target trial emulation framework.

View Article and Find Full Text PDF

Objective: Evaluate the accuracy and reliability of various generative artificial intelligence (AI) models (ChatGPT-3.5, ChatGPT-4.0, T5, Llama-2, Mistral-Large, and Claude-3 Opus) in predicting Emergency Severity Index (ESI) levels for pediatric emergency department patients and assess the impact of medically oriented fine-tuning.

View Article and Find Full Text PDF

Background: Cases of congenital disorders of glycosylation (CDGs) are rare, and the occurrence of hemorrhagic infarction is also rare. The etiology is unclear.

Observations: A 3-year-old Asian boy with CDG type 1A was hospitalized with pneumonia.

View Article and Find Full Text PDF

Background: The increasing use of social media to share lived and living experiences of substance use presents a unique opportunity to obtain information on side effects, use patterns, and opinions on novel psychoactive substances. However, due to the large volume of data, obtaining useful insights through natural language processing technologies such as large language models is challenging.

Objective: This paper aims to develop a retrieval-augmented generation (RAG) architecture for medical question answering pertaining to clinicians' queries on emerging issues associated with health-related topics, using user-generated medical information on social media.

View Article and Find Full Text PDF

Objectives: Randomized clinical trials informing clinical practice (e.g., like large, pragmatic, and late-phase trials) should ideally mostly use harmonized outcomes that are important to patients, family members, clinicians, and researchers.

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!