Application of Patient Sentiment Analysis to Evaluate Glaucoma Care

The inherent nature of social media content poses serious challenges to practical applications of sentiment analysis. We present VADER, a simple rule-based model for general sentiment analysis, and compare its effectiveness to eleven typical state-of-practice benchmarks including LIWC, ANEW, the General Inquirer, SentiWordNet, and machine learning oriented techniques relying on Naive Bayes, Maximum Entropy, and Support Vector Machine (SVM) algorithms. Using a combination of qualitative and quantitative methods, we first construct and empirically validate a gold-standard list of lexical features (along with their associated sentiment intensity measures) which are specifically attuned to sentiment in microblog-like contexts. We then combine these lexical features with consideration for five general rules that embody grammatical and syntactical conventions for expressing and emphasizing sentiment intensity. Interestingly, using our parsimonious rule-based model to assess the sentiment of tweets, we find that VADER outperforms individual human raters (F1 Classification Accuracy = 0.96 and 0.84, respectively), and generalizes more favorably across contexts than any of our benchmarks.

Background The purpose of this scoping review was to describe how three tenants of patient-centered care provision: communication, partnership, and health promotion are addressed in patient-centered care models/frameworks across the literature. Methods A scoping review of literature published in English since 1990 was conducted using Medline, CINAHL, and EMBASE. A key term search strategy was employed using “patient-centered care”, “client-centered care”, “framework” and “model” to identify relevant studies. Results Application of the search strategy resulted in a hit total of 101 articles. Nineteen articles met inclusion criteria, of which 12 were review articles; 5 were qualitative research papers; one was a randomized control trial; and one was a prospective study. From these articles, 25 different patient-centered care frameworks/models were identified. Conclusions The fact that all identified approaches to patient-centered care incorporated strategies to achieve effective communication, partnership, and health promotion indicates that clinicians can select a patient-centered approach from the literature that best suits their patient’s needs, and be confident that it will satisfy the three core elements of patient-centered care provision. While empirical literature on specific patient-centric frameworks and models was limited, much empiric evidence was sourced for the most consistently defined component of patient-centered care, communication.