The Digital Impact of Neurosurgery Awareness Month: Retrospective Infodemiology Study

JMIR Form Res. 2023 May 8:7:e44754. doi: 10.2196/44754.

Abstract

Background: Neurosurgery Awareness Month (August) was initiated by the American Association of Neurological Surgeons with the aim of bringing neurological conditions to the forefront and educating the public about these conditions. Digital media is an important tool for disseminating information and connecting with influencers, general public, and other stakeholders. Hence, it is crucial to understand the impact of awareness campaigns such as Neurosurgery Awareness Month to optimize resource allocation, quantify the efficiency and reach of these initiatives, and identify areas for improvement.

Objective: The purpose of our study was to examine the digital impact of Neurosurgery Awareness Month globally and identify areas for further improvement.

Methods: We used 4 social media (Twitter) assessment tools (Sprout Social, SocioViz, Sentiment Viz, and Symplur) and Google Trends to extract data using various search queries. Using regression analysis, trends were studied in the total number of tweets posted in August between 2014 and 2022. Two search queries were used in this analysis: one specifically targeting tweets related to Neurosurgery Awareness Month and the other isolating all neurosurgery-related posts. Total impressions and top influencers for #neurosurgery were calculated using Symplur's machine learning algorithm. To study the context of the tweets, we used SocioViz to isolate the top 100 popular hashtags, keywords, and collaborations between influencers. Network analysis was performed to illustrate the interactions and connections within the digital media environment using ForceAtlas2 model. Sentiment analysis was done to study the underlying emotion of the tweets. Google Trends was used to study the global search interest by studying relative search volume data.

Results: A total of 10,007 users were identified as tweeting about neurosurgery during Neurosurgery Awareness Month using the "#neurosurgery" hashtag. These tweets generated over 29.14 million impressions globally. Of the top 10 most influential users, 5 were faculty neurosurgeons at US university hospitals. Other influential users included notable organizations and journals in the field of neurosurgery. The network analysis of the top 100 influencers showed a collaboration rate of 81%. However, only 1.6% of the total neurosurgery tweets were advocating about neurosurgery awareness during Neurosurgery Awareness Month, and only 13 tweets were posted by verified users using the #neurosurgeryawarenessmonth hashtag. The sentiment analysis revealed that the majority of the tweets about Neurosurgery Awareness Month were pleasant with subdued emotion.

Conclusions: The global digital impact of Neurosurgery Awareness Month is nascent, and support from other international organizations and neurosurgical influencers is needed to yield a significant digital reach. Increasing collaboration and involvement from underrepresented communities may help to increase the global reach. By better understanding the digital impact of Neurosurgery Awareness Month, future health care awareness campaigns can be optimized to increase global awareness of neurosurgery and the challenges facing the field.

Keywords: #Neurosurgery; #NeurosurgeryAwarenessMonth; Google Trends; Neurosurgery Awareness Month; Sentiment Viz; Twitter; awareness; brain; campaign; circumplex model; cognition; cognitive; digital media; health care; health care awareness event; infodemiology; machine learning algorithm; network analysis; neural; neuro; neurological; neuroscience; neurosurgery; node; public opinion; scatterplot; sentiment; sentiment analysis; social media; tweet.