Background: Pain is a subjective complaint that comprises a vast majority of emergency department (ED) visits. Owing to its subjectivity, pain reporting is prone to variations that could impact patient care. We aimed to determine the extent of differences in pain rating-scores between patients and their physicians in the ED and impact on patient satisfaction.

Methods: A prospective cross-sectional sample of eligible patients was recruited from two centers in Saudi Arabia. Pain scorings were performed using validated online questionnaires during patients' ED stay.

Results: Pain rating scores by physicians was lower than that by patients (6.3 ± 2.0 versus 7.0 ± 3.1, p = 0.004). Additionally, severe pain rating (8-10 rating) was given less frequently by physicians compared with that by patients (26.0% versus 48.1%, p = 0.004). Comparing the ratings by physicians with those by patients, underestimation was observed in 70.1%, overestimation in 16.9%, and matching rating in 13.0% cases. The most frequent analgesic medication administered was paracetamol (79.2%), followed by diclofenac (26.0%), morphine (10.4%), and ketorolac (9.1%). The medications were administered mainly intravenously (87.0%) and, to a lesser extent, intramuscularly (31.2%). Majority of patients (62.5%) reported not to have sufficient pain relief after treatment.

Conclusion: Most physicians tend to underestimate the level of pain perceived by their patients, which often leads to under-treatment and lower patient satisfaction. The present study revealed a significant difference in pain ratings between patients and physicians.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667246PMC
http://dx.doi.org/10.1016/j.heliyon.2022.e11462DOI Listing

Publication Analysis

Top Keywords

patients physicians
12
pain
10
patients
9
emergency department
8
impact patient
8
pain rating
8
physicians
7
differences acute
4
acute pain
4
pain perception
4

Similar Publications

Background: Nursing prescribing rights have been proposed in many countries, with physicians' attitudes playing an important role. This study aimed to investigate the attitudes of physicians toward nurse prescribing rights.

Methods: A cross-sectional study of 112 Chinese physicians was conducted from January to March 2024.

View Article and Find Full Text PDF

Background: During the COVID-19 pandemic, nursing home (NH) residents faced the highest risk of severe COVID-19 disease and mortality. Due to their frailty status, comorbidity burden can serve as a useful predictive indicator of vulnerability in this frail population. However, the prognostic value of these cumulative comorbidity scores like the Charlson comorbidity index (CCI) remained unclear in this population.

View Article and Find Full Text PDF

Background: In an efficient and effective healthcare delivery, good communication plays an essential role. The communicative health literacy (COMM-HL) of the patients is an important attribute, but the number of validated COMM-HL assessment tools is low, and they do not cover all aspects of COMM-HL. That's why a new scale has been developed within an international collaboration.

View Article and Find Full Text PDF

Background: Creatinine-based estimated glomerular filtration rate (eGFR) equations are widely used in clinical practice but exhibit inherent limitations. On the other side, measuring GFR is time consuming and not available in routine clinical practice. We developed and validated machine learning models to assess the trustworthiness (i.

View Article and Find Full Text PDF

Objective: There is limited knowledge about severe urinary tract infections associated with SGLT2i, despite this being the basis for the Food and Drug Administration (FDA) warning. We aim to provide real-world evidence to clarify this relationship further.

Data Source: A literature review was performed in PubMed and Embase for cohort studies published up to August 2024 using PICO-consistent terms.

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!