Back pain, ankylosing spondylitis and social media usage; a descriptive analysis of current activity

Health-related social media have seen an explosion in activity over the last few years [1, 2]. Patients are more engaged with their healthcare, and they want more detailed information [3]. This helps support the patient–clinician relationship, and optimises compliance. Self-management and exercise are invaluable elements of the management of musculoskeletal conditions and back pain (BP) of all aetiologies [4, 5], although compliance with this is much underestimated [6, 7].

Ankylosing Spondylitis (AS), a form of axial spondyloarthritis (SpA), has an estimated mean prevalence of 23.8 per 10,000 in Europe [8]. The peak age of onset is 20–30 years. Such a cohort, therefore, is very relevant for internet-based research as we know that the greatest internet use is amongst younger people [9].

The aim of this work was exploratory, to summarise trends regarding the type of individuals involved in online discussions about BP and AS, and examine the nature of the conversation at scale, including related discussions concerning exercise and medications.

A cross-sectional review of all worldwide online mentions of BP and AS was tracked on popular websites, blogs and boards initially from August to October 2016. A repeat search was undertaken over the same months of 2019 to assess how the picture had changed in 3 years. A taxonomy of relevant terms, such as ‘back pain’ and ‘ankylosing spondylitis’, was used in appropriate permutations to maximise identification (such as ‘backpain’). These were then used in collaboration with additional relevant terms [Appendix 1, Table 1]. The most influential sites, boards and individuals (termed ‘reach’, defined by the number of posts in the dataset, multiplied by the number of followers of the user or site) were reviewed to explore who may be driving online discussions. Mentions of healthcare professionals, medications and exercise were recorded. Finally, to understand the patients’ journey, qualitative coding was used to look at randomised posts for key terms associated with disease stage and symptom duration, as well as established cases of AS.

Data collection was conducted collaboratively between the clinical team and White Swan. White Swan, a registered charity arm of Black Swan, analyses large volumes of data for predictive purposes to improve the health of society, e.g. healthcare organisations and charities [10]. Socialnaut (a social listening app, part of Black Swan’s proprietary suits of applications, NEST) and qualitative coding were used by White Swan to identify themes and trends in the discussions. It has over 80 volunteers who carry out work on behalf of the charity and consequently no funding for the project was required. Black Swan provides all technology and intellectual property to White Swan for free and data were gathered via the existing technical integrations between Black Swan and data providers. This includes the full Twitter firehose and all data available from Socialgist (the world’s largest social media analytics firm). Ethical approval was not required as the information used was in the public domain and patients were not recruited for participation. Furthermore, no patients’ identifiable information was included. All keywords were in English, although the search itself was undertaken globally. Available demographic information and the time of day or week of posts were recorded (accounting for location, and relative to Greenwich Mean Time). Results were compiled by White Swan and fed back to the clinical team.

AS and BP patients are actively seeking information online through an array of sources with recurring topics of conversation. The conversation around AS is smaller than for BP, which is expected given that SpA represents < 5% of BP cases [11]. The AS discussion has grown substantially in 3 years, potentially through increased publicity of the disease in lay publications and the popular media and the work by patient bodies, such as NASS and Versus Arthritis. It must be appreciated though that a broader range of search terms were included in the taxonomy, albeit these made up a small additional proportion of the search. The high proportion of AS mentions by women is an unexpected result, given the 3.8:1 male to female ratio in European AS populations [5]. This very fact, however, may reduce the identification of AS in women and they may consequently be more likely to seek advice online. They could also be searching online on behalf of someone else, which could skew results. Female internet use has increased steadily over the previous two decades, with relatively similar rates of use now between genders [6, 12, 13], further making the trend seen in the AS group surprising. However, when specifically healthcare-related sites are analysed, women rate the usefulness of internet-derived health information more highly than men and also enjoy using the internet more for this purpose [14], perhaps offering an explanation. The high frequency of baby or pregnancy-focussed sites suggests that pregnancy-related BP is a common issue. The distribution of postings later in the day may coincide with increased symptoms, such as in mechanical BP. Alternatively, this could reflect a period of reprieve from symptoms, as in inflammatory BP, enabling patients to focus on spending time on the internet. The higher rate of mentions of ‘exercise’ vs ‘doctor’ for BP suggests patients understand the importance of this, particularly given the limited role of medications in mechanical BP. Given the importance of exercise in AS, one would have hoped to see more mentions, but as the options for effective medical treatment have increased in recent years, this is not unexpected. Biologic medications are newer treatments and, therefore, patients may be seeking to understand their use. Humira was reported by IMS Health in 2014 as the world’s best-selling drug (across indications) [15], so it is not surprising that this is the commonest biologic mentioned in 2016, whilst newer options, such as secukinumab have since become options for treatment. Sharing views on treatments is likely to offer security or validation of patients’ own experiences.

There are limitations in this type of study. The level of detail is limited; for example, it is difficult to ascertain the correct usage of medical terms online by the lay public. Using Socialnaut, we have tried to be as comprehensive and inclusive as this methodology allows, but there will be some boards or sites that may not have been included. Search terms were limited to English, which may bias data towards the US and the UK sites. It was not possible to control for the potential unequal global internet provision (Fig. 3) or healthcare systems informing patients’ experiences presented online. Understanding wider online healthcare discussions may also offer alternative explanations for some of the patterns seen here. For example, does the timing of posts for BP/AS reflect that is seen in other conditions, or is it due to the diurnal variability in symptoms alone? How does the size of the BP discussion compare to that of other musculoskeletal conditions? This was outside the scope of this work. There was also limited capture of demographic information, such as age, education or other confounders. However, the magnitude of data analysed would not be possible through more traditional study methods and shows trends that can support further work.

This is the first study to utilise big data analysis to describe trends of online discussions of BP and AS, and offers a rich data source relatively untouched for medical research purposes so far. The current online conversation about BP is huge, and that of AS is increasing. Through this analysis, patients appear well-informed, and particularly are seeking diagnoses, and more details on treatment options. Prompt recognition of inflammatory axial symptoms is pivotal in optimising outcomes, particularly given the diagnostic delay in AS, the longest for any rheumatological condition [16]. This sort of data could offer a novel way of flagging potential patients through their online interactions. Targeted patient information could improve patients’ understanding of their condition and highlight the importance of exercise. Regular ‘hot topic’ segments on BP could feature on commonly used sites to engage the public, and encourage presentation to healthcare professionals. The role of campaigners in these discussions emphasises on how potent the personal perspective is for patients. Collaborative work with other healthcare professionals seeing BP patients, such as chiropractors or online influencers, could improve education and facilitate an earlier medical referral. One must, however, be aware of data protection and patient confidentiality when such information is concerned, particularly as technology becomes an increasing part of day-to-day life.