Abstract

A health technology assessment (HTA) is commonly defined as a multidisciplinary approach used to evaluate medical, social, economic, and ethical issues related to the use of a health technology in a systematic, transparent, unbiased, robust manner. To help inform HTA recommendations, the surveillance of social media platforms can provide important insights to the clinical community and to decision makers on the effectiveness and safety of the use of health technologies on a patient. A scoping review of the published literature was performed to gain some insight on the accuracy and automation of sentiment analysis (SA) used to assess public opinion on the use of health technologies. A literature search of major databases was conducted. The main search concepts were SA, social media, and patient perspective. Among the 1,776 unique citations identified, 12 studies that described the use of SA methods to evaluate public opinion on or experiences with the use of health technologies as posted on social media platforms were included. The SA methods used were either lexicon- or machine learning-based. Two studies focused on medical devices, three examined HPV vaccination, and the remaining studies targeted drug therapies. Due to the limitations and inherent differences among SA tools, the outcomes of these applications should be considered exploratory. The results of our study can initiate discussions on how the automation of algorithms to interpret public opinion of health technologies should be further developed to optimize the use of data available on social media.

Highlights

  • A health technology assessment (HTA) is commonly defined as a multidisciplinary approach used to evaluate medical, social, economic, and ethical issues related to the use of a health technology in a systematic, transparent, unbiased, robust manner [1]

  • The Food and Drugs Act defines Real World Data (RWD) as the data relating to patient health status and/or the delivery of health care routinely collected from a variety of sources, and Real World Evidence (RWE) is the clinical evidence regarding the usage and potential benefits or risks of a medical product derived from analysis of RWD

  • Following the screening of titles and abstracts, 1,484 citations were excluded and 77 potentially relevant reports from the electronic search were retrieved for full-text review

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Summary

Introduction

A health technology assessment (HTA) is commonly defined as a multidisciplinary approach used to evaluate medical, social, economic, and ethical issues related to the use of a health technology in a systematic, transparent, unbiased, robust manner [1]. In HTA, efficacy refers to the benefit of using a health technology for a specific condition in a controlled setting that typically involve patients that meet a set criteria. The use of Real World Data (RWD) can be used to generate Real World Evidence (RWE) to assess the effectiveness of a health technology in a real-world setting. The Food and Drugs Act defines RWD as the data relating to patient health status and/or the delivery of health care routinely collected from a variety of sources (e.g., data collected from data registries, electronic health records, etc.), and RWE is the clinical evidence regarding the usage and potential benefits or risks of a medical product derived from analysis of RWD

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