Exploring the Determinants of Patient Experiences Using the Digital Topic Modeling Approach

TL;DR

This paper uses digital topic modeling to analyze patient feedback and identify key factors that influence patient experiences in healthcare.

Contribution

The study introduces a novel digital topic modeling approach to systematically identify determinants of patient experiences from textual feedback.

Findings

Analysis of 4689 patient feedbacks revealed five key determinants of patient experience: treatment, service, environment, economic factors, and process.

Cluster analysis identified 10 main themes, including two positive and eight negative response clusters.

The findings suggest healthcare providers should adopt a holistic approach to improve patient satisfaction.

Abstract

Background: As the healthcare landscape progressively adopts a patient-centered paradigm, the imperative to enhance patient experience has become more pronounced. Efforts to improve patient experience have yielded modest results, partly due to limited understanding of the key factors influencing patient expectations.

Objective: To explore the determinants of patient experiences through analyzing patient feedbacks, assisting healthcare institutions in prioritizing service improvements.

Methods: A digital topic modeling approach was employed. Data were derived from a secondary analysis of the National Patient Experience Base, incorporating patient feedback from 226 hospitals. Initially, the feedback text data underwent a cleansing process, and the sentiment intensity within the text was quantified using the SnowNLP algorithm, and XGBoost classifier was utilized to categorize sentiments as positive or negative. Subsequently, the feedbacks were subjected to topic clustering using the BERT model and X-means clustering algorithm. Third, TextRank was applied to extract significant keywords from each cluster, and these keywords were analyzed to identify the determinants that impact patient experience.

Results: A total of 4689 patients' feedbacks were collected, comprising 2918 outpatients and 1771 inpatients from 165 tertiary and 61 secondary hospitals across 24 provinces. Through cluster analysis, 10 main clusters emerged (two of which were positive response and eight were negative response). By qualitatively synthesizing, patient experiences were distilled into five determinants: treatment, service, environment, economic, and process.

Conclusions: The findings underscore the importance of a holistic approach to patient experience enhancement, where healthcare providers must address not only the clinical aspects of care but also the service delivery, environmental conditions, economic considerations, and procedural efficiency. By identifying and prioritizing the improvement of these determinants, healthcare organizations can tailor their services to better meet patient expectations and enhance overall satisfaction.

Figures