Identification of Clinical Risk Factors Affecting Patient-Physician Communication. Academic Article uri icon

Overview

abstract

  • INTRODUCTION: Patient satisfaction is an important indicator of quality in health care and is linked to clinical outcomes, patient retention, and professional satisfaction. Patients admitted to the hospital from the emergency department may not understand their diagnosis, reason for admission or plan of care, which can adversely impact their hospital experience. We aim to identify risk factors that contribute to poor patient-physician communication and to assess the effects of raising awareness of these issues to hospital providers. METHODS: From November 2020 to April 2021, patients admitted to the surgical floor were surveyed within 24 h of admission. Relevant data were extracted through retrospective chart review. Residents and attendings were debriefed regarding the improving communication. Surveys answered before and after the brief intervention were compared. RESULTS: One hundred thirty one patients who were admitted to the surgical floor were surveyed. Nineteen did not know their diagnoses (14.5%), 29 could not explain their diagnoses (22.1%), and 28 did not know their treatment plans (21.4%). A total of 38 (29.0%) patients answered "no" to at least one question. Trauma patients (P = 0.034), patients with pain score >4 at time of admission (P = 0.038), age >65 y (P = 0.047), and patients with >3 comorbidities were more likely to answer "no" to at least one of the questions. Postintervention, a 10% reduction in number of patients answering "no" was observed. CONCLUSIONS: Trauma patients, patients with poor pain control, the elderly, and those with multiple comorbidities are more likely to experience poor patient-physician communication. Raising awareness of the importance of this matter resulted in an improvement in communication.

publication date

  • November 1, 2022

Research

keywords

  • Communication
  • Physicians

Identity

Scopus Document Identifier

  • 85140960732

Digital Object Identifier (DOI)

  • 10.1016/j.jss.2022.09.032

PubMed ID

  • 36332303

Additional Document Info

volume

  • 282