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Is There an Association Between Spine Surgeon Academic Productivity and Patient Satisfaction Ratings?
Neurosurgery
December 2024
Department of Neurosurgery, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA.
Background And Objectives: Physician rating websites (PRWs) are increasingly used by patients to find health care providers. This study explores spine neurosurgeon PRW ratings and their relationship with academic productivity.
Methods: A retrospective study was conducted from November 2022 to May 2023 that included 1990 neurological surgeons listed in the American Association of Neurological Surgeons database with a subspecialty in spine.
Categorizing Extremely Positive Five-Star Online Reviews for Orthopedic Foot and Ankle Surgeons: A Retrospective Study.
Cureus
October 2024
Orthopedic Surgery, Duke University School of Medicine, Durham, USA.
Background Multiple studies have emphasized the increased use of physician rating websites by patients when searching for surgeons to perform elective procedures. This study aimed to analyze the comments associated with online five-star patient reviews for orthopedic foot and ankle surgeons. Methods A retrospective analysis of five-star online reviews and corresponding comments using Vitals.
View Article and Find Full Text PDFHow to detect fake online physician reviews: A deep learning approach.
Digit Health
August 2024
School of Information Management, Nanjing University, Nanjing, China.
Objective: The COVID-19 pandemic has spurred an increased interest in online healthcare and a surge in usage of online healthcare platforms, leading to a proliferation of user-generated online physician reviews. Yet, distinguishing between genuine and fake reviews poses a significant challenge. This study aims to address the challenges delineated above by developing a reliable and effective fake review detection model leveraging deep learning approaches based on a fake review dataset tailored to the context of Chinese online medical platforms.
View Article and Find Full Text PDFClassification of Patients' Judgments of Their Physicians in Web-Based Written Reviews Using Natural Language Processing: Algorithm Development and Validation.
J Med Internet Res
August 2024
Sanford School of Public Policy, Duke University, Durham, NC, United States.
Background: Patients increasingly rely on web-based physician reviews to choose a physician and share their experiences. However, the unstructured text of these written reviews presents a challenge for researchers seeking to make inferences about patients' judgments. Methods previously used to identify patient judgments within reviews, such as hand-coding and dictionary-based approaches, have posed limitations to sample size and classification accuracy.
View Article and Find Full Text PDFApplication of sentiment and word frequency analysis of physician review sites to evaluate refractive surgery care.
Adv Ophthalmol Pract Res
March 2024
Institute of Ophthalmology and Visual Science, Rutgers New Jersey Medical School, Newark, NJ, USA.
Background: Online physician reviews increase transparency in health care, helping patients make informed decisions about their provider. Language processing techniques can quantify this data and allow providers to better understand patients' experiences, perspectives, and priorities. The objective of this study was to assess patient satisfaction and understand the aspects of care that are valued by patients seeking refractive care using sentiment and word frequency analysis.
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