Abstract

BackgroundThe language encompassing health conditions can also influence behaviors that affect health outcomes. Few published quantitative studies have been conducted that evaluate HIV-related terminology changes over time. To expand this research, this study included an analysis of a dataset of abstracts presented at the International AIDS Conference (IAC) from 1989 to 2014. These abstracts reflect the global response to HIV over 25 years. Two powerful methodologies were used to evaluate the dataset: text mining to convert the unstructured information into structured data for analysis and data visualization to represent the data visually to assess trends.ObjectiveThe purpose of this project was to evaluate the evolving use of HIV-related language in abstracts presented at the IAC from 1989 to 2014.MethodsOver 80,000 abstracts were obtained from the International AIDS Society and imported into a Microsoft SQL Server database for data processing and text mining analyses. A text mining module within the KNIME Analytics Platform, an open source software, was then used to mine the partially processed data to create a terminology corpus of key HIV terms. Subject matter experts grouped the terms into categories. Tableau, a data visualization software, was used to visualize the frequency metrics associated with the terms as line graphs and word clouds. The visualized dashboards were reviewed to discern changes in terminology use across IAC years.ResultsThe major findings identify trends in HIV-related terminology over 25 years. The term “AIDS epidemic” was dominantly used from 1989 to 1991 and then declined in use. In contrast, use of the term “HIV epidemic” increased through 2014. Beginning in the mid-1990s, the term “treatment experienced” appeared with increasing frequency in the abstracts. Use of terms identifying individuals as “carriers or victims” of HIV rarely appeared after 2008. Use of the terms “HIV positive” and “HIV infected” peaked in the early-1990s and then declined in use. The terms “men who have sex with men” and “MSM” were rarely used until 1994; subsequently, use of these terms increased through 2014. The term “sex worker” steadily increased in frequency throughout conference years, whereas the term “prostitute” decreased over time.ConclusionsThe results of this study highlight changes in HIV terminology use over 25 years, including the addition, disappearance, and changing use of terms that reflect advances in HIV research and medical practice and destigmatization of the disease. Coupled with findings from related quantitative research, HIV-related terminology recommendations based on results of this study are included. Adoption of these recommendations will further efforts to use less stigmatizing language and facilitate effective communication between health professionals and people affected by HIV.

Highlights

  • BackgroundSince the first AIDS cases were reported in the United States in June 1981 [1], the vocabulary of HIV has evolved with advances in HIV research and medical practice

  • Coupled with findings from related quantitative research, HIV-related terminology recommendations based on results http://publichealth.jmir.org/2018/2/e50/

  • Across the succession of International AIDS Conference (IAC) conferences, abstract authors increasingly distinguished between “HIV infection” and “AIDS” as indicated by the declining frequency trends lines for terms such as “AIDS epidemic,” “AIDS patient,” and “HIV/AIDS patient” and the increasing the trend lines for the terms “HIV epidemic,” and “people living with HIV.”

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Summary

Introduction

BackgroundSince the first AIDS cases were reported in the United States in June 1981 [1], the vocabulary of HIV has evolved with advances in HIV research and medical practice. Text mining and visualization provide a method to investigate this evolution of HIV terminology Using this combination strategy, the cultural and linguistic trajectory of HIV-related societal discourse can be characterized more precisely than possible with less structured approaches. The relationship between progress to understand and treat diseases and the surrounding conversation is bidirectional This mutual influence extends to all spheres of communication, including between patient and provider, and can influence behaviors and affect health outcomes. This study included an analysis of a dataset of abstracts presented at the International AIDS Conference (IAC) from 1989 to 2014. These abstracts reflect the global response to HIV over 25 years. Two powerful methodologies were used to evaluate the dataset: text mining to convert the unstructured information into structured data for analysis and data visualization to represent the data visually to assess trends

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