Literature DB >> 35081150

Utilization of social media communities for caregiver information support in stroke recovery: An analysis of content and interactions.

Elton H Lobo1,2, Tara Johnson2,3, Anne Frølich2,4, Finn Kensing5, Lene J Rasmussen6,7, Sarah M Hosking3, Amy T Page8,9, Patricia M Livingston3, Sheikh Mohammed Shariful Islam10, John Grundy11, Mohamed Abdelrazek1.   

Abstract

BACKGROUND: Caregivers often use the internet to access information related to stroke care to improve preparedness, thereby reducing uncertainty and enhancing the quality of care.
METHOD: Social media communities used by caregivers of people affected by stroke were identified using popular keywords searched for using Google. Communities were filtered based on their ability to provide support to caregivers. Data from the included communities were extracted and analysed to determine the content and level of interaction.
RESULTS: There was a significant rise in the use of social media by caregivers of people affected by stroke. The most popular social media communities were charitable and governmental organizations with the highest user interaction-this was for topics related to stroke prevention, signs and symptoms, and caregiver self-care delivered through video-based resources.
CONCLUSION: Findings show the ability of social media to support stroke caregiver needs and practices that should be considered to increase their interaction and support.

Entities:  

Mesh:

Year:  2022        PMID: 35081150      PMCID: PMC8791510          DOI: 10.1371/journal.pone.0262919

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Stroke is the leading cause of dependency and disability worldwide [1], resulting in family caregivers providing substantial care to people with stroke [2]. Family caregivers, generally known as informal caregivers [3] are responsible for assisting with daily activities, including mobilization, toileting, bathing, transportation, and navigating the health care system [4]. Despite their key role in care, many caregivers feel unprepared [5], leading to psychological, social, physical, and financial strains [6]. Family (or informal) caregivers have varying needs for education and support during the stroke care trajectory [7]. Yet, to date, standard clinical practice guidelines have not considered programs to ensure caregiver education and support [8]. The most common form of information received by caregivers at the hospital included booklets and pamphlets, which caregivers have reported to be very basic or out of date [9]. Caregivers may attempt to source alternate information sources to improve preparedness to reduce uncertainty and enhance recovery [10]. In the past, caregivers have predominately used the internet (or online) sources to access information related to stroke care [11-The Journal of rural health: official journal of the American Rural Health Association and the National Rural Health Care Association. 2016 ">13]. The internet is changing how health information is accessed [14], thereby influencing individuals’ knowledge, attitudes, and beliefs towards a specific health behaviour [15]. As a result, the trend towards internet use for health information purposes has been significantly rising [16]. A cross-sectional study by Naqvi, Montiel [17] reported over 96.8% of caregivers having access to the internet to generally browse web pages (84.6%) and access their emails (89.4%). Today, in the era of Web 2.0, social media such as Facebook and Twitter has changed the landscape in health care information delivery [16, 18]. Social media can empower people to adopt a healthy lifestyle and help improve health management and decision-making processes [19]. Furthermore, social media creates an unprecedented opportunity to enhance the quality of care by mobilizing many social media users and enabling the users to generate a large amount of content [19]. The content generated is in the form of user health care knowledge, experiences, symptoms, health care products, doctors, and medicines in easily accessible formats, such as images, text, and videos [18]. Social media use has provided organizations and individuals with an openly accessible platform to engage actively and participate in healthcare [20]. However, very little is known about its potential benefit to caregiving and its ability to interact with the caregiver actively. This study presents three key aims. This study aims to: Investigate frequency of searches for stroke-related terms over time using Google Insights and Google Trends. Identify the information content available to caregivers on popular information-support-based social media platforms (i.e., Facebook and Twitter) to support their needs and activities. Understand the levels of interaction for the different social media posts identified through the likes, comments, and shares by content types (i.e., image, video, link, or text).

Method

Study design

Our study consisted of a mixed-method approach to answer identified research aims. The mixed methods approach is a type of research where a researcher or group of researchers combine elements of quantitative and qualitative methods (e.g. use of quantitative and qualitative viewpoints for data collection, analysis and inference techniques) to provide a broad understanding of the research problem [21]. For example, to investigate the frequency of stroke terms, a quantitative analysis was conducted to determine the online activity of people interested in stroke recovery and care using tools such as Google Trends and Google Insights. Google Trends and Google Insights provide a platform for individuals to investigate its users’ search behaviour throughout time based on a relative cumulative search volume score from 0–100, which is the ratio of single search term volume to all possible searches. A qualitative analysis was used to analyse the information content using a thematic synthesis approach. Finally, the levels of interaction were identified through a quantitative statistical analysis of likes, comments, and shares based on the different content types.

Identifying relevant communities

The identification of relevant social media communities (or groups) in stroke recovery involved multiple steps. Initially, we identified the relevant search keywords used based on discussions with topic experts and electronic database searches. We tested the keywords on Google Insights and Google Trends to determine their relevance to individuals around the world in stroke recovery and care based on their searching behaviour. Finally, we performed individual searches on two popular social media platforms (i.e., Facebook and Twitter). A search of social media platforms (i.e., Facebook and Twitter) was conducted from December 2020 to January 2021 and was limited to those available in the English language. Moreover, the search included only communities made public by the administrator (or did not require permissions to be accessed by the user).

Community selection

Initially, the researchers used a custom-built web form to manually extract information from all social media communities, including community names, descriptions, links, number of followers (or likes), and several posts, and store the data in a MySQL database. The communities identified were then filtered based on the inclusion and exclusion criteria described in .

Analysis the findings

The analysis process involved a multi-stage data extraction and management process using a custom-built python scraper consisting of all the community page links and outputs findings to a MySQL database. The data was then extracted as a Microsoft Excel file and coded independently using QSR NVivo 12 by two researchers based on a three-stage thematic synthesis approach, involving: ‘line by line’ coding of text, development of descriptive themes, and generation of analytical themes [22]. All posts unrelated to the caregiver and/or posts that did not provide information support (e.g., advertisements, event photos, news articles, research studies, etc.) were excluded from the study. Additionally, descriptive characteristics data from the communities (such as community name, origin, published date, and basic information) and interaction data (such as likes and comments) were charted by one researcher to answer the specific research aims.

Collating and summarizing

Both qualitative and quantitative findings were collated and summarized to answer the research questions resulting in the descriptive numerical summary and thematic analysis. The predefined descriptive classification applied to the initial coding of the communities include; Community Demographics Year Published–to understand the growth in online communities over the past few decades. Community location–to understand the target population Community affiliation–to know if the content created is by people working in the stroke domain Community Purpose–to understand the purpose of the community through the community description Information Support–to understand the type of information provided to the caregiver in the post (i.e., disease, patient care management, self-care, etc.) and the method of delivery (i.e., text, image, video, or link) using a thematic analysis technique Community Interaction Post purpose–to understand the information type required by the user Likes, followers, reactions, and comments–to understand user interaction based on the post purpose

Results

Digital interest regarding stroke

Overall, 94 keywords were identified from discussions with topic experts and electronic database searches. Of these 94 keywords, 15 keywords were based on stroke disease and its definitions, 25 keywords were related to the signs & symptoms of stroke, 37 keywords included different medications used in stroke and 17 keywords focused on aspects related to recovery & care. Findings from the Google Trends and Google Insights searches demonstrated an apparent increase in the cumulative search volumes for the terms identified through discussions with topic experts and electronic database searches over the past ten years (). The rise in the cumulative search volume was 12.4 between January 2011 and December 2020 identified by: Where a is the average cumulative search volume for each topic (j) each year (i), k is the cumulative search volume acquired from Google Trends and Insights for all the keywords associated with the topic for year i, N is the total number of keywords in the topic (j) for year i, i is the year ranging from 1 to 10 and j is the topic ranging from 1 to 4. where Y is the average cumulative search volume for all topics (a) in year i ranging from 1 to 10 where A is the rise in the cumulative search volume between the Tenth (Y10) and First (Y1) Years (i.e. January 2011 and December 2020). Topics including ‘stroke definition’ and ‘stroke recovery’ were the most commonly searched during the ten years. Issues such as ‘signs & symptoms of stroke’, and stroke medication have had a significant rise in searches during the past four years.

Identification of relevant keywords

presents the ten most commonly searched terms identified by the online search (or usage) activity as extracted from Google Trends and Google Insights. The ten most frequently used keywords were selected based on their cumulative search volume over the past year.

Social media communities

The combined search strategies identified 352 social media communities using the keywords identified in , which were then screened for eligibility using the inclusion and exclusion criteria demonstrated in . Out of the 352 social media communities, 111 were excluded as they were not related to stroke patient caregivers, 23 were not accessible to the public, 17 were not associated with stroke, and 3 were not available in English. Overall, 198 social media communities were included in the study, as shown in .

Descriptive characteristics

Out of the 198 social media communities, 141 (71.2%) were available on Facebook and 57 (28.8%) were available on Twitter. These communities were created by individuals (n = 64; 32.3%), charitable or non-profit organizations (n = 61; 30.8%), community centres (n = 24; 12.1%), educational organizations (n = 20; 10.1%), medical centres (n = 13; 9.1%), small and medium sized organizations (n = 8; 4.0%) and governmental organizations (n = 3; 1.5%) identified based on administrator affiliations and community descriptions as illustrated in . The most popular groups, identified by the number of followers, were charitable organizations and governmental organizations (). Across all social media platforms, Twitter was seen to have the highest average number of followers and posts (7093.6 followers and 4828.7 posts), followed by Facebook (4202.8 followers and 579.6 posts) as shown in . The earliest identified pages were published in 2009 on both Twitter (n = 10; 5.1%) and Facebook (n = 5; 2.5%). Since 2009, both social media platforms have witnessed a variation in the number of new stroke communities for caregivers ().

Community purpose

The analysis of the social media community description identified six prominent themes () detailed below: Support: Support-based social media communities were the most common community type (n = 81; 40.9%); these are intended to provide users with tools to support and share caregiving responsibilities. Moreover, these communities allowed users to join either virtual or local groups to promote emotional and psychological support. Awareness: Communities in this theme (n = 59; 29.8%) intend to make the caregiver more aware of the tools and resources available locally to support the patient during care. It also allowed the caregiver to understand the risk factors and signs of a stroke to prepare them during a secondary stroke event. Education: The education theme (n = 34; 17.2%) consisted of communities that share online books and resources intended to educate the caregiver on stroke-related topics, factors associated with its occurrence, secondary prevention techniques, management, support guidelines, medication resources, and similar issues. This was generally delivered in the form of text and video-based resources. Advertising: These communities (n = 14; 7.1%) generally focused on advertising recovery products to support caregivers during care and ongoing research conducted at local universities to develop better care practices to support caregivers and their patients. Motivation: Motivation (n = 8; 4.0%) oriented communities generally delivered this by caregivers and patients through personal stories and practices during recovery. Social media communities motivated their users through inspirational quotes and success stories. Fundraising: The fundraising communities (n = 2; 1.0%) were either delivered by charitable organizations to support caregivers and their patients or by individual caregivers struggling to support patients due to financial constraints. The fundraising in charitable organizations involved links to fundraising campaigns and campaign invites to events conducted locally.

Community role in information support

While community information extracted demonstrated a total of 356,960 posts, only 173,508 posts could be extracted using a python-based scraper tool. Of these 173,508 posts, the following posts were excluded: 6369 (related to motivating the individual), 16960 (focused on advertising local events, products, and research), 45726 (consisted of news articles regarding stroke), 25939 (included photos or videos of local community activities or events), 28089 (focused on creating awareness for the prevention of the disease), 4176 (looked to fundraise to support an individual or organization), 24672 (did not provide information support), and 14070 (did not offer general stroke information or focus on caregivers). The remaining 7507 posts provided the caregiver with information to support them during the care trajectory, and hence were further analysed and classified as summarized in .

Analysis of interaction

summarizes user interaction based on the topics identified in and content type (i.e., text, image, video, and link), identified through the average of likes, shares, and comments. The data presented showed that the individual’s interaction with the post varied based on the topic and the content type. For example, the target user group generally interacted with video-based content (i.e., Likes– 13.41, Comments– 8.79 and Shares– 8.53) followed by image (i.e., Likes– 12.35, Comments– 4.46 and Shares– 6.69), link (i.e., Likes– 6.99, Comments– 1.59 and Shares– 3.06) and text (i.e., Likes– 4.03, Comments– 1.68 and Shares– 2.58) based content as shown in . While the most interacted topics based on content type has been illustrated in identified through the data summarized on .

Discussion

This study aims to highlight the information-seeking behaviour of people affected by stroke and the interaction of content created for caregivers on popular social media platforms (i.e., Facebook and Twitter). This study is significant for content creators of social media communities to identify appropriate topics to support stroke caregiving needs and promote caregiver interaction within the community, thereby ensuring caregiver education and preparedness when supporting the survivor. Findings from our Google Insights show an increase in search trends for stroke-related topics over the past ten years. The growth has been predominately for topics related to the signs and symptoms and medications, with stroke definition and recovery being the most popular searches over the past ten years. This concurs with Tan and Goonawardene [23], which suggests an increase in users seeking health information online to ensure education and preparedness for the disease, thereby allowing them to make better healthcare decisions during recovery. The increase in user access to internet resources for stroke was not limited to Google searches but also within popular social media platforms. The findings from the study show an increase in social media communities for caregivers post-2009 created by individuals with different affiliations. A majority of which are individuals and charitable organizations. However, the most accessed social media communities were found to be affiliated with governmental and charitable organizations. This could be due to the trust factor associated with information provided by federal agencies and community organizations, as highlighted in the study by Dutta-Bergman [24], suggesting that the information provided by these individuals is based on expert-based literature and credible sources. Nowadays, misinformation or lack of quality information is a growing problem [25]. Crocco, Villasis-Keever [26] in a systematic review highlighted the internet’s capacity to harm the health of the user to be equal to the good and useful information it provides in a relatively timely and inexpensive manner. For example, in one case the misinformation available on the internet contributed to emotional harm, while in another case lead to hepatorenal failure in an oncology patient who obtained misinformation regarding medication use over the internet [26]. To prevent healthcare issues and fears amongst the population, Cuan-Baltazar, Muñoz-Perez [25] suggests the need for governmental organizations to develop a strategy that teaches its residents to verify the quality of information they read. Moreover, Swire-Thompson and Lazer [27] describes the need for internet users to collaborate with physicians to ensure they are more actively involved in the decision-making processes, and they are aware of methods to separate health myths from facts that the internet provides. While social media communities do not exclusively focus on the caregiver, it was possible to identify the relevant communities and posts through their content, which were classified in this study based on their relevance. The classification involved two categories; (i) General, i.e., posts that enabled the caregiver to understand the disease, causes, types, diagnosis methods, risk factors, prevention, consequences, and treatment, and (ii) Caregiver, i.e., information to enable the caregiver to communicate with relevant stakeholders, understand the impact of caregiving, understand the roles and decision making practices, understand means to support and care for the patient and to ensure self-care. Overall, findings from these comments highlight a positive interaction in terms of likes, shares, and comments, especially for video-based content and topics related to prevention, self-care, signs and symptoms, caregiver impact, and patient support and care. Video-based education resources have numerous advantages to promote positive health decisions and lifestyle changes [28]. The benefits include: (i) cost-effectiveness, (ii) removal of inconsistencies and presentation of information in a standardized format, (iii) creation of content that allows individuals with low health literacy to comprehend health information, and (iv) access through numerous different platforms or interventions [29]. However, Ferguson [28] highlights the importance of presenting the content concisely to avoid overwhelming the target audience with information, with a specific focus on the video length to ensure attentiveness of the target audience during the duration of the video. While this study suggests caregivers in the stroke generally prefer video-based resources on social media communities, it is crucial to understand the influences of other media like text and images on health education. For instance, text-based resources allow individuals to access materials at their own pace and may be easier to access than video-based resources, particularly for individuals with low technical literacy [29]. On the other hand, images benefit individuals with low literacy skills [30] and have enhanced comprehension, satisfaction, and readability amongst the target audience [31]. Given that information type (i.e., video, image, and text) is a critical aspect for delivering information to specific individuals, it is also equally essential for one to consider individuals’ needs to maximize interaction. Despite the existing set of topics that researchers believe to be important to address specific health information needs, there are several differences in the actual individual’s needs [32]. For example, researchers are influenced by the disease type and researcher’s motivation [32], while in stroke caregiving, the caregiver’s needs differ based on the different stages of the survivors’ illness, the need to maintain care continuum, and to ensure self-care during recovery [7, 33]. The need to maintain a care continuum and ensure self-care was evident in this study, with maximum interaction identified in prevention, signs & symptoms, patient support & care, risk factors, caregiver impact, and self-care. However, greater emphasis would need to be considered to provide information at different stages of the survivors’ illness, which is currently not evident. In addition, it is important to understand the literacy and communication barriers that may impact the target audience and may limit their motivation to engage with the information, which can be restricted by co-designing information to limit these barriers [30]. One method that can be implemented when designing health information is Participatory Design (or PD) approach [34]. The PD approach has been drawn from several methods, theories, and evidence from multiple disciplines such as human factors, marketing, engineering, sociology, and health [35]. This approach aims to actively involve different stakeholders with the intention to understand their needs and barriers towards creating meaningful, actionable, and feasible knowledge [34, 36], thereby enhancing communication and enriching the health information designed [37]. Hence, making it an ideal methodology for co-designing information in stroke caregiving.

Study limitations

The study was focused on understanding the information-seeking behaviour, types of information available, and interaction of caregivers online through Google Insights and Content Analysis of popular social media platforms. During the analysis process, several limitations arose. First, the inability of the scraper tool developed to extract all the posts from the social media community due to the particular restrictions by the social media platforms that monitor programs accessing social media content and blocking its access. Further, several posts were excluded during the filtration process if they did not include the target audience, i.e., the caregiver. These limitations may have resulted in several excluded posts that may have supported the caregiver during their care process. Second, the user interaction analysis considered the likes, shares, and comments of all audiences within the community as it was impossible to segregate the users based on their role. If the posts were segregated based on the type of user, the outcomes might demonstrate a difference in caregiver information needs and their level of interaction on the popular social media platforms. Third, the search criterion was limited to only English, and we are unsure if the inclusion of non-English communities may impact the outcomes of the findings. Finally, the exclusion of communities that are not publicly accessible. We excluded these communities due to ethical considerations and privacy. As a result, we are unsure if the discussions within these communities would provide a comprehensive understanding of the health information needs of caregivers and their levels of interaction.

Conclusions

The study investigated the information-seeking behavior on Google and the content and user interaction on popular social media platforms. Findings suggest that there is a significant rise in online searches over the past ten years in stroke. The surge is indicated on both Google and social media communities. On analysis of comments designed explicitly for caregivers, topics related to the continuum of care and self-care were most engaging, especially in video-based formats. However, content creators need to understand the influences of information needs and delivery to maximize user interaction. This may be possible through co-design practices such as participatory design, which has in the past demonstrated efficient results in enhancing communication practices and enriching health information quality. Therefore, creating a deeper understanding of the caregiver and necessary information topics ensures they are prepared throughout the care process.

Keywords searched in Google Trends and Insights.

(XLSX) Click here for additional data file.

Included social media communities.

(XLSX) Click here for additional data file.

Included community posts and user interactions.

(XLSX) Click here for additional data file. 16 Aug 2021 PONE-D-21-21212 Utilization of Social Media Communities for Caregiver Information Support in Stroke Recovery: An Analysis of Content and Interactions PLOS ONE Dear Dr. Lobo, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. Please submit your revised manuscript by Sep 30 2021 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. 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Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The manuscript has been nicely constructed, addressing a very relevant social aspect in stroke care. One suggestion is to add to the discussion part, is the possibility of gathering misinformation from less trusted sources in the internet and it's possible I'll effects also. Reviewer #2: The article is interesting to read and has used a novel area of study. However, as we read the article, few queries arise in the mind and are put down below: • Please describe the web application tool which was developed to extract information from all social media. Whether there is any process to test the reliability of the tool? How to make sure that the tool has extracted the data as the researchers intended to do and whether it was consistent across social media platforms? • The authors have described the research approach as a mixed method approach. If you explain the research design adopted, it would be beneficial to the readers. • Any report on geographical location of the data could be identified? • Some of the keywords are pure medical terms and could have been searched by students of medicine, nursing or allied health professions. Is there a way to say it with certainty that the searches were made by caregivers? Common man may use terms like paralysis, weakness, not able to talk etc. for stroke. • “The average 139 rise in the cumulative search volume was 12.4 from January 2011 to December 2020” Please explain how this value is calculated and what is the unit of the value. Explain the numbers on the ‘X’ axis of figure 1. • Please explain how ‘Traumatic Brain Injury’ can be a keyword to identify stroke? • In the exclusion criteria it was mentioned that sites used for Promotion of Products and Services were excluded whereas in the analysis 14 sites are included whose purpose was advertising. • 64 (32.3%)sites were created by individuals. Whether this report could bring out the authenticity of the content on those sites? • The content of table 5 has to be rechecked. ‘what is stroke’ query in Facebook by the reviewer generated more than one videos and plenty of likes, shares and comments. Other areas also need to be checked. ********** 6. 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Thank you Submitted filename: Journal and Reviewers Comments.docx Click here for additional data file. 10 Jan 2022 Utilization of Social Media Communities for Caregiver Information Support in Stroke Recovery: An Analysis of Content and Interactions PONE-D-21-21212R1 Dear Dr. Lobo, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. 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Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Vishnu Renjith Academic Editor PLOS ONE
Table 1

Inclusion and exclusion criteria used to filter social media communities.

Inclusion CriteriaExclusion Criteria
• Considers Caregivers of Stroke described through its description or content• Provides Information regarding Stroke• Supports User Interaction on Posts• Does not include Caregivers of Stroke• Blocks Users from Replying to Posts
Table 2

Ten most commonly used keywords in stroke identified through Google Trends.

Cumulative Search Volume
Stroke85.3
Stroke Care81.6
Stroke Recovery76.8
Apoplexy76.3
Cerebrovascular Accident75.6
Stroke Unit75.1
Traumatic Brain Injury74.5
Lacunar Infarct74.2
Stroke Medication73.6
Aphasia73.1
Table 3

Social media communities included in the review.

Facebook (n = 169)
• Association for the Rehabilitation of the Brain Injured• Stroke Recovery Foundation• United Stroke Alliance• American Stroke Association• Stroke Association• Stroke Foundation• National Aphasia Association• Aphasia Recovery Connection• American Stroke Foundation• Stroke Association NI• Stroke Association South West• Stroke Survivors Foundation• Aphasia Ireland• Stroke Association East of England• Aphasia Network• Aphasia Nova Scotia• Stroke Association London• Stroke Family Awareness• Bright Spot Pediatric Stroke• American Aphasia Society• FAST Stroke Awareness• World Stroke Day Kenya 2017• Stroke SA Inc• Supporting Aphasia Fellowship and Education Fellowship and Education• Brain Injury Recovery Foundation• Australian Aphasia Association• Stroke Foundation of NZ• Think Ahead Stroke• Stroke Fighters• Stroke Survivors Empowering Each Other (SSEEO)• Singapore National Stroke Association• BINA Stroke & Brain Injury Assistance• Stroke Rehabilitation & Healing, Inc.• Calgary Aphasia Centre• Stroke Support of Texas• Stroke Help Network• Aphasia NSW• The Scott Coopersmith Stroke Awareness Foundation• Brain injury & Stroke Foundation KENYA• Friends of Aphasia• Retreat & Refresh Stroke Camp• Adler Aphasia Center• Aphasia Center of California• Living with Aphasia• Talkback Association for Aphasia Inc• Stroke Information Support Group• Alberta Aphasia Camp• Aphasia Centre of Ottawa• Aphasia vzw• Stroke Rehabilitation Ireland• Stroke Caregivers• Stroke Ownership & Recovery• Midwest Stroke support group for survivors and caregivers• Stroke,tbi,and their,caregivers• The Other Stroke Talk for survivors, caregivers and anyone who wants to be• Support for Caregivers of Stroke Patients• Malaysian Stroke Rehabilitation• Stroke & Neuro Intervention• Aphasia SG• UCAN Stroke Rehabilitation in Merseyside and Cheshire• Stroke Support India• AphasiaAccess• Stroke Survivors• Certified Stroke Rehabilitation Specialist (CSRS)• Greenhills Stroke Rehabilitation Center Ghana• Stroke Rehabilitation• Montgomery County Stroke Survivor, Caregiver, and Aphasia Support Group• Stroke & Neuro Rehabilitation for Shropshire• Stroke Rehabilitation Centre• UNT Aphasia Support Group• Stroke Awareness• Minnesota Brain Injury Alliance/Minnesota Stroke Association• Suncoast Aphasia Support Group• Oceanside Stroke Recovery Society• Orillia Stroke Survivor and Caregiver Support Group• Delta Stroke Recovery Society• Pittsburgh Aphasia Community• StrokeEd• Aphasia Lab-USC• BRAIN Lab: Brain Research for Aphasia and Intensive Neurorehabilitation Lab• Aphasia CRE• STROKE-The Road to Recovery• World Stroke Campaign• Stroke Special Interest Group• University of Michigan Aphasia Program (UMAP)• Stroke Rehabilitation Research• Stroke and Cerebrovascular Accident Education• Triangle Aphasia Project, Unlimited• Aphasia Connections• Priority Research Centre for Stroke and Brain Injury• The Big Sky Aphasia Program• Purdue University Aphasia Group• Hazard & Surrounding Area Stroke Survivor & Caregiver Support Group• Spot Stroke• Kathi Naumann -Stroke Support & Survival Guide• The Aphasia Cafe by Dr. Dawn McGuire• Stroke Awareness• Raising Stroke Awareness• Stroke Awareness for Everyone• Stroke Prevention• Aphasia Awareness• Stroke therapy tricks for stroke survivors• Stroke Group• Canadian Aphasia Association• Aphasia Awareness• Stroke• Stroke Cure• Stroke Rehabilitation Awareness• Stroke Caregiver• Rehabilitation for Stroke• TBI Hope & Inspiration• The Brain Fairy—Living with Brain Injury• Aphasia Friendly Resources• Stronger After Stroke Blog• Stroke information• Stroke Support• Recovering from Brain Injury• Stroke Recovery Tips• Stroke Recovery: Stories from Patients, Doctors, Families and Caregivers• Stroke• GRASP—Geriatric Relearning After Stroke-Induced Paralysis• Caregiving for Stroke Survivors• Teamconnor fundraising and brain injury/stroke awarness• Stroke Survivor Caregivers• Surviving A Stroke• Stroke Survivors• Caregiving After Stroke• Stroke Awareness• Stroke Recovery KW• Stroke Warriors• Stroke Survivor• Stroke Rehabilitation• TBI & Stroke Victims• Stroke Recovery Solutions• Aphasia will not be silent / Stroke Survivor Coach• Stroke UK• TBI TED—Brain Injury and CTE Support• Group Stroke• Stroke Therapy• Stroke Rehab• NXT Senior & Caregiver Resources Inc.
Twitter (n = 29)
• American_Stroke• Stroke Association• Sign Against Stroke• heartandstroke• Aphasia Hope• Stroke Foundation• Croi- Heart & Stroke• American Heart News• Better Conversations• davida godett• Million Hearts• Tactus Therapy• ARC AphasiaRecovery• HeartFoundationSA• Northern Ireland Chest Heart & Stroke• Stroke Association Yorkshire• BAS• INS• Prasanna Tadi M.D TEDx Speaker, Stroke Doc, Blogge• Natl Aphasia Assoc• Heart&Stroke NB | Coeur+AVC NB• Aphasia Institute• LivingWithAphasia• Heart & Stroke Science• Treat The Stroke• Aphasia Nova Scotia• Stroke Connection• Connect• BIAAZ• CDC Division for Heart Disease & Stroke Prevention• The Aphasia Center• Stroke Survivors Foundation• Adler Aphasia Center• Stroke Foundation NZ• Caregiver’s Cargiver• StrokeRehab Plymouth• Stroke Recovery• Dyscover• East Lancs Stroke Assistance & Support• Heart & Stroke NL• fermanagh Stroke Support Group—SOSS• Reclaiming Ourselves• StrokeSupport• Stroke Recovery Association MB• Stroke Support Group• act F.A.S.T• Stroke Rehab• City Access—Resources for Aphasia• Stroke Recovery Association NSW• StrokeSmart Magazine• IschemicStroke• BIA-MA• Stroke Caregivers• Signs Of Stroke• Stroke Support• BIAF• BrainLine.org
Table 4

Topics identified and their frequency of occurrence on the two social media platforms.

Information TopicsFrequencyPercentage (%)
GENERAL460966.90
 What is Stroke?891.29
 Signs and Symptoms75310.93
 Types of Stroke1121.63
 Causes of Stroke540.78
 Diagnosis200.29
 Risk Factors101114.68
  Demographics1221.77
  Heart and Vascular Health71410.36
  Mental Health460.67
  Women’s Health300.44
  Lifestyle3124.53
  Medication660.96
  Other Medical Conditions1812.63
   Diabetes1752.54
   Head Injury60.09
 Prevention131019.02
  Managing Lifestyle123617.94
  Managing Mental Health1001.45
  Managing Medical Risks350.51
  Managing Sleep300.44
 Consequences75811.00
  Cognitive6138.90
  Emotional1031.50
  Physical1031.50
  Sleep80.12
  Relationships20.03
  Quality of Life20.03
  Living and Independence50.07
 Treatment123417.91
  Treatment Practices1031.50
  Importance of Early Treatment831.20
  Rehabilitation82011.90
   Guidelines4546.59
   Importance280.41
   Cost40.06
   At-Home Rehabilitation3635.27
  Treatment of Risk Factors3054.43
   Monitoring1361.97
   Surgery130.19
   Medications2042.96
CAREGIVER228033.10
  Impact1842.67
  Communication Practices1171.70
   Health Professional120.17
   Patient1051.52
 Roles and Decision Making210.30
 Patient Support & Care119517.35
  Care Guidelines107715.63
  Supporting Activities of Daily Living1231.79
  Finance & Legal Support721.05
  Care Planning1622.35
 Self-care86412.54
  Need811.18
  Strategies86412.54
   Take a Break520.75
   Engage in Other Activities1051.52
   Manage Quality-of-Life1311.90
   Manage Health & Well-being6779.83
   Manage Emotions460.67
   Manage Relationships480.70
   Sharing Care Responsibilities550.80
Table 5

Analysis of user interaction based on the averages of likes, shares and comments for different content types.

ContentTypeLikesSharesComments
General Text4.121.832.07
Image13.364.356.5
Video14.739.449.03
Link7.391.733.49
 What is Stroke?Text0.3310.33
Image12.623.7310.87
Video100.67
Link90.412.54
 Signs and SymptomsText17.873.12.57
Image13.293.611.61
Video19.42713.02
Link9.773.968.11
 Types of StrokeText7.7516.5
Image8.040.964.81
Video2.7101.71
Link10.571.254.35
 Causes of StrokeText0.670.670.67
Image633.8
Video807.67
Link14.321.847.38
 DiagnosisText200
Image600.5
Video0.500
Link11.670.675.67
 Risk FactorsText7.62.823.2
Image25.615.286.66
Video6.497.186.28
Link4.542.253.67
 PreventionText8.453.213.69
Image18.214.135.92
Video21.518.0712.1
Link3.541.862.56
 ConsequencesText1.531.691.59
Image9.582.634.15
Video20.929.646.44
Link16.571.124.28
 TreatmentText2.171.21.29
Image11.396.397.72
Video10.812.826.38
Link5.460.761.99
Caregiver Text2.731.962.3
Image15.683.955.38
Video1981.18
Link5.941.52.43
 ImpactText2.6700.67
Image6.193.33.11
Video14.2511.1313.75
Link15.12.154.1
 Communication PracticesText21.831.67
Image4.943.064.44
Video11.47.64.4
Link4.670.721.4
 Roles and Decision MakingText000
Image000
Video000
Link30.352.25
 Patient Support & CareText2.341.491.97
Image26.254.437.01
Video21.198.239.54
Link4.1812.04
 Self-careText4.052.93.45
Image4.23.423.58
Video17.067.1216.82
Link6.862.142.93
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Review 1.  Videos to influence: a systematic review of effectiveness of video-based education in modifying health behaviors.

Authors:  William Tuong; Elizabeth R Larsen; April W Armstrong
Journal:  J Behav Med       Date:  2012-11-28

Review 2.  Consumer health information seeking in social media: a literature review.

Authors:  Yuehua Zhao; Jin Zhang
Journal:  Health Info Libr J       Date:  2017-10-17

Review 3.  Public Health and Online Misinformation: Challenges and Recommendations.

Authors:  Briony Swire-Thompson; David Lazer
Journal:  Annu Rev Public Health       Date:  2019-12-24       Impact factor: 21.981

4.  Improving Stroke Caregiver Readiness for Transition From Inpatient Rehabilitation to Home.

Authors:  Barbara J Lutz; Mary Ellen Young; Kerry Rae Creasy; Crystal Martz; Lydia Eisenbrandt; Jarrett N Brunny; Christa Cook
Journal:  Gerontologist       Date:  2017-10-01

5.  The impact of interactions with providers on stroke caregivers' needs.

Authors:  Kerry Rae Creasy; Barbara J Lutz; Mary Ellen Young; Ariel Ford; Crystal Martz
Journal:  Rehabil Nurs       Date:  2013 Mar-Apr       Impact factor: 1.625

Review 6.  New Horizons for Stroke Medicine: Understanding the Value of Social Media.

Authors:  Jose Maria Cabrera-Maqueda; Jatinder S Minhas
Journal:  Stroke       Date:  2018-01-04       Impact factor: 7.914

7.  Needs of family caregivers of stroke patients: a longitudinal study of caregivers' perspectives.

Authors:  Pei-Chun Tsai; Ping-Keung Yip; John Jen Tai; Meei-Fang Lou
Journal:  Patient Prefer Adherence       Date:  2015-03-18       Impact factor: 2.711

Review 8.  Internet Health Information Seeking and the Patient-Physician Relationship: A Systematic Review.

Authors:  Sharon Swee-Lin Tan; Nadee Goonawardene
Journal:  J Med Internet Res       Date:  2017-01-19       Impact factor: 5.428

9.  Misinformation of COVID-19 on the Internet: Infodemiology Study.

Authors:  Jose Yunam Cuan-Baltazar; Maria José Muñoz-Perez; Carolina Robledo-Vega; Maria Fernanda Pérez-Zepeda; Elena Soto-Vega
Journal:  JMIR Public Health Surveill       Date:  2020-04-09

10.  Methods for the thematic synthesis of qualitative research in systematic reviews.

Authors:  James Thomas; Angela Harden
Journal:  BMC Med Res Methodol       Date:  2008-07-10       Impact factor: 4.615

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