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Baydoun A, Pereira IJ, Turner S, Siva S, Albert AA, Andrew Loblaw D, Simcock RA, Zaorsky NG, Katz MS. Development and dissemination of structured hashtags for radiation oncology: Two-Year trends. Clin Transl Radiat Oncol 2023; 39:100524. [PMID: 36935852 PMCID: PMC10014325 DOI: 10.1016/j.ctro.2022.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 09/22/2022] [Accepted: 09/25/2022] [Indexed: 11/06/2022] Open
Abstract
Purpose For radiation oncology, social media is a favored communication platform, but it uses non-structured hashtags, which limits communication. In this work, we created a set of structured hashtags with key opinion leaders in radiation oncology, and we report on their use after two years post-deployment. Materials/Methods Hashtags were created, voted on, and refined by crowdsourcing 38 international experts, including physicians, physicists, patients, and organizations from North America, Europe, and Australia. The finalized hashtag set was shared with the radiation oncology community in September 2019. The number of tweets for each hashtag was quantified via Symplur through December 2021. For the top five tweeted hashtags, we captured the number of yearly tweets in the pre-deployment and post-deployment periods from 09/01/2019 to 08/31/2021. Results The initial 2019 list contained 39 hashtags organized into nine categories. The top five hashtags by total number of tweets were: #Radonc, #PallOnc, #MedPhys, #SurvOnc, and #SuppOnc. Six hashtags had less than 10 total tweets and were eliminated. Post-deployment, there was an increase in the yearly tweets, with the following number of tweets by the second year post-deployment: #RadOnc (98,189 tweets), #MedPhys (15,858 tweets), and #SurvOnc (6,361 tweets). Two popular radiation oncology-related hashtags were added because of increased use: #DEIinRO (1,603 tweets by year 2) and #WomenWhoCurie (7,212 tweets by year 2). Over the two years, hashtags were used mostly by physicians (131,625 tweets, 34.8%). Conclusion We created and tracked structured social media hashtags in radiation oncology. These hashtags disseminate information among a diverse oncologic community. To maintain relevance, regular updates are needed.
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Affiliation(s)
- Atallah Baydoun
- Department of Radiation Oncology, University Hospitals of Cleveland, Cleveland, OH 44106, USA
| | | | - Sandra Turner
- Crown Princess Mary Cancer Centre, Westmead 2145, Australia
| | - Shankar Siva
- University of Melbourne, Melbourne 3010, Australia
| | | | - D. Andrew Loblaw
- Department of Radiation Oncology, Sunnybrook Odette Cancer Centre, University of Toronto, Toronto, ON M4N 3M5, Canada
| | - Richard A. Simcock
- Brighton and Sussex University Hospitals NHS Trust, Brighton BN2 1DH, UK
| | - Nicholas G. Zaorsky
- Department of Radiation Oncology, University Hospitals of Cleveland, Cleveland, OH 44106, USA
- School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
- Corresponding authors at: Department of Radiation Oncology, UH Cleveland Medical Center, Seidman Cancer Center, 11100 Euclid Avenue, Cleveland, OH 44106, USA (N.G. Zaorsky). Department of Radiation Oncology, The Cancer Center at Lowell General Hospital, 295 Varnum Avenue, Lowell, MA 01854, USA (M. Katz).
| | - Matthew S. Katz
- Radiation Oncology Associates, PA, Lowell, MA 01854, USA
- Corresponding authors at: Department of Radiation Oncology, UH Cleveland Medical Center, Seidman Cancer Center, 11100 Euclid Avenue, Cleveland, OH 44106, USA (N.G. Zaorsky). Department of Radiation Oncology, The Cancer Center at Lowell General Hospital, 295 Varnum Avenue, Lowell, MA 01854, USA (M. Katz).
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#TrendingNow: Instagram Versus Twitter Activity Among Radiation Oncology Patients and Professionals. Pract Radiat Oncol 2021; 11:e506-e514. [PMID: 34233217 DOI: 10.1016/j.prro.2021.06.008] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/10/2021] [Accepted: 06/27/2021] [Indexed: 11/23/2022]
Abstract
PURPOSE We aimed to evaluate recent Instagram and Twitter posts to identify the primary disseminators of information related to radiation therapy on social media (health care professionals vs patients), to characterize their influencer status, and to characterize the content of this information. METHODS AND MATERIALS Using 2 commercial hashtag analytics platforms, 1000 of the most recent eligible posts from each platform were evaluated for content, tone, and engagement, as well as user (poster) characteristics. Inclusion criteria were as follows: unique posts, written in English, relevant to human cancer treatment, and containing 1 of 11 predetermined hashtags (#radiation, #radiotherapy, #radiationtherapy, #radiationoncology, #radonc, #radiationtherapist #radiationtreatment, #medphys, #cyberknife, #radiosurgery, #protontherapy). RESULTS Users of radiation oncology content on Instagram were primarily patients/caregivers (47%), specifically adult patients (94%) with breast cancer (53%). Patient/caregiver content was focused on patient experience (79%), with approximately half specific to radiation therapy (51%), and most patient/caregiver posts demonstrated a positive tone (86%). In contrast, Twitter content was dominated by health care professionals (53%), specifically within radiation oncology (90% of unique users). Health care professional content was focused on colleague education/research dissemination (53%), with a high proportion of posts specific to radiation therapy (95%). CONCLUSIONS Given the disproportionate number of patients versus radiation oncology professionals active on Instagram versus Twitter, and the lack of radiation therapy-specific content on Instagram, there may be an opportunity to improve patient outreach and education by promoting the presence of radiation oncologists on Instagram.
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Fernández C, Ruiz V, Couñago F. COVID-19 and information and communication technology in radiation oncology: A new paradigm. World J Clin Oncol 2020; 11:968-975. [PMID: 33437658 PMCID: PMC7769716 DOI: 10.5306/wjco.v11.i12.968] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 10/09/2020] [Accepted: 10/30/2020] [Indexed: 02/06/2023] Open
Abstract
Due to coronavirus disease 2019 pandemic caused by severe acute respiratory syndrome coronavirus 2, there has been a major reallocation of resources that has impacted the treatment of many diseases, including cancer. The growing use of information and communication technologies (ICT), together with a new approach to work aimed at ensuring the safety of health care professionals and patients alike, has allowed us to maintain the quality of care while ensuring biosecurity. The application of ICT to health care (eHealth) aims to significantly improve the quality, access to, and effectiveness of medical care. In fact, the expanded use of ICT has been recognized as a key, cost-effective priority for health care by the World Health Organisation. The medical speciality of radiation oncology is closely linked to technology and as a consequence of coronavirus disease 2019, ICT has been widely employed by radiation oncologists worldwide, providing new opportunities for interaction among professionals, including telemedicine and e-learning, while also minimizing treatment interruptions. Future research should concentrate on this emerging paradigm, which offers new opportunities, including faster and more diverse exchange of scientific knowledge, organizational improvements, and more efficient workflows. Moreover, these efficiencies will allow professionals to dedicate more time to patient care, with a better work-life balance. In the present editorial, we discuss the opportunities provided by these digital tools, as well as barriers to their implementation, and a vision of the future.
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Affiliation(s)
- Castalia Fernández
- Department of Radiation Oncology, GenesisCare Madrid, Madrid 28043, Spain
| | - Virginia Ruiz
- Department of Radiation Oncology, Hospital Universitario de Burgos, Burgos 09006, Spain
| | - Felipe Couñago
- Department of Radiation Oncology, Hospital Universitario Quirónsalud Madrid, Madrid 28028, Spain
- Department of Radiation Oncology, Hospital La Luz, Madrid 28028, Spain
- Department of Radiation Oncology, Universidad Europea de Madrid, Madrid 28028, Spain
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