Background: The specific dimensions of learners that have been impacted by educational programs related to social determinants of health (SDoH) remain unknown. This study aims to elucidate how learners are affected by postgraduate education (a single 90-min educational session) regarding tool-guided clinical assessment of patients' social backgrounds.

Methods: A pretest-posttest design was utilized in which residents (postgraduate year (PGY) 1 or 2) and fellows in family medicine (PGY over 3) were recruited. Likert-type questions were developed based on previous qualitative findings. Participants answered these questions before, immediately after, and 1.5 months after the educational session on tool-guided clinical SDoH assessment. Paired-sample -tests were used, and effect size was measured using Cohen's .

Results: A total of 114 residents and fellows participated. After the session, participants expressed more interest in knowing their patients' social backgrounds when considering how to address their patients and were more open to embracing a pre-established assessment framework. Participants also considered clinical skills related to SDoH as learnable and improved their attitude toward patients. They reported that they did not perform specific interventions related to SDoH within 1.5 months after the session. Unlike previous qualitative findings, their concern about the implementation of SDoH-related practices did not increase significantly.

Conclusion: An educational session on tool-guided SDoH assessment may have a positive impact on learners' attitudes related to addressing patients' social backgrounds without fostering concerns.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10927908PMC
http://dx.doi.org/10.1002/jgf2.674DOI Listing

Publication Analysis

Top Keywords

tool-guided clinical
12
educational session
12
session tool-guided
12
patients' social
12
clinical assessment
8
social determinants
8
determinants health
8
previous qualitative
8
qualitative findings
8
sdoh assessment
8

Similar Publications

Objectives: We aimed to evaluate the effectiveness and safety of clinical decision support tool (CDST)-guided initial selective intensive induction therapy (IIT) for patients with Crohn's disease (CD) who were treated with ustekinumab (UST) and to identify those most likely to benefit from IIT.

Methods: Patients with active CD were included in this multicenter retrospective study and were categorized as low-, intermediate-, and high-probability responders according to the UST-CDST. IIT was defined as intensive induction by two or three initial doses of weight-based intravenous UST administration.

View Article and Find Full Text PDF

Guided by in silico analysis tools and biotransformation technology, new derivatives of natural compounds with heightened bioactivities can be explored and synthesized efficiently. In this study, in silico data mining and molecular docking analysis predicted that glucosides of skullcapflavone II (SKII) were new flavonoid compounds and had higher binding potential to oncogenic proteins than SKII. These benefits guided us to perform glycosylation of SKII by utilizing four glycoside hydrolases and five glycosyltransferases (GTs).

View Article and Find Full Text PDF

Endometrial cancer in the elderly: Characteristics, prognostic and risk factors, and treatment options.

Crit Rev Oncol Hematol

December 2024

Department of Urology and Gynecology, Istituto Nazionale Tumori IRCCS Fondazione G. Pascale, Naples 80138, Italy. Electronic address:

Endometrial cancer incidence and related mortality are on the rise due to aging demographics. This population often presents with unfavorable features, such as myometrial invasion, non-endometrioid histology, high-grade tumors, worse prognosis, etc. The role of age as an independent prognostic factor is still debated, and screening tools addressing frailty emerge as pivotal in guiding treatment decisions; however, they are still underutilized.

View Article and Find Full Text PDF

Implementation of a Cardiovascular Implantable Electronic Device Heart Failure Prediction Tool-Guided Management Pathway.

Am J Cardiol

December 2024

Section of Cardiology, Department of Medicine, San Francisco Veterans Affairs Health Care System, San Francisco, California; University of California San Francisco School of Medicine, San Francisco, California. Electronic address:

Article Synopsis
  • Researchers aimed to integrate a predictive algorithm using data from cardiovascular implantable electronic devices (CIEDs) to assess the risk of heart failure hospitalization (HFH) within 30 days in patients.
  • They monitored 358 patients over a 90-day period, identifying that 20% were at high risk based on remote CIED transmissions, with clinicians following up and assessing symptoms.
  • The findings showed that clinicians successfully contacted nearly all high-risk patients, with over two-thirds receiving medical interventions, indicating promise for enhancing heart failure management; however, further randomized trials are necessary to evaluate the effectiveness of these interventions.
View Article and Find Full Text PDF

Background: Modern radiotherapy exemplified by intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT), has transformed esophageal cancer treatment. Facing challenges in treating thoracic esophageal cancer near vital organs, this study introduces a regression model-based decision support tool for the optimal selection of radiotherapy techniques.

Methods: We enrolled 106 patients diagnosed with locally advanced thoracic esophageal cancer in this study and designed individualized IMRT and VMAT radiotherapy plans for each patient.

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!