- Research article
- Open Access
- Published:
Perceptions of first-degree relatives of patients with rheumatoid arthritis about lifestyle modifications and pharmacological interventions to reduce the risk of rheumatoid arthritis development: a qualitative interview study
BMC Rheumatology volume 2, Article number: 31 (2018)
Abstract
Background
There is increasing interest in the identification of people at risk of rheumatoid arthritis (RA) to monitor the emergence of early symptoms (and thus allow early therapy), offer lifestyle advice to reduce the impact of environmental risk factors and potentially offer preventive pharmacological treatment for those at high risk. Close biological relatives of people with RA are at an increased risk of developing RA and are therefore potential candidates for research studies, screening initiatives and preventive interventions. To ensure the success of approaches of this kind, a greater understanding of the perceptions of this group relating to preventive measures is needed.
Methods
Twenty-four first-degree relatives of patients with an existing diagnosis of RA from the UK, three from Germany and seven from Austria (age: 21–67 years) took part in semi-structured interviews exploring their perceptions of RA risk, preventive medicine and lifestyle changes to reduce RA risk. Interviews were audio-recorded, transcribed verbatim and analysed using thematic analysis.
Results
Many first-degree relatives indicated that they anticipated being happy to make lifestyle changes such as losing weight or changing their diet to modify their risk of developing RA. Participants further indicated that in order to make any lifestyle changes it would be useful to know their personal risk of developing RA. Others implied they would not contemplate making lifestyle changes, including stopping smoking, unless this would significantly reduce or eliminate their risk of developing RA. Many first-degree relatives had more negative perceptions about taking preventive medication to reduce their risk of RA, and listed concerns about potential side effects as one of the reasons for not wanting to take preventive medicines. Others would be more willing to consider drug interventions although some indicated that they would wish to wait until symptoms developed.
Conclusions
Information targeted at those considered to be at risk of RA should contain information about RA, the extent to which risk can be quantified at an individual level and how risk levels may differ depending on whether early symptoms are present. The benefits (and risks) of lifestyle changes and pharmacological interventions as potential preventive measures should be clearly described.
Background
Rheumatoid arthritis (RA) is a common chronic inflammatory disease with a prevalence of 1% [1]. The disease has a significant negative impact at both individual and societal levels [2]. Early diagnosis and treatment reduce the risk of future joint damage and disability [3,4,5,6,7,8] and increase the chance of drug-free remission [9]. As a result, there is now a drive to identify and treat people as early in the disease process as possible, potentially before the onset of joint swelling [10].
Genetic factors contribute significantly to a person’s risk of developing RA [11]. Having a family history, especially having one or more first-degree relatives with RA, increases the risk of developing RA by approximately 3–5 fold [12,13,14]. Modifiable environmental factors such as smoking [15], alcohol intake [16, 17], and diet [18,19,20] also influence the risk of developing RA [21]. Interactions between these risk factors are likely [22]. Gathering information about an individual’s genotype, environmental exposures, systemic and joint related immune abnormalities may thus allow clinicians to predict future RA development in those who are currently asymptomatic [22]. Among those people with a close relative with RA, current risk models using both environmental and genetic factors have been shown to be highly discriminative for both seropositive and seronegative RA [23].
Relatives of RA patients are a prime target population for both risk stratification and preventive interventions [24, 25]. First-degree relatives of RA patients are currently in the focus of prospective observational cohort studies [26,27,28] and interventional trials [21, 25]. However, difficulties recruiting first-degree relatives to such studies have been reported [29]. As recruitment of first-degree relatives is usually dependent on the cooperation of RA patients themselves, it is also important to understand patients’ perceptions of RA risk, risk modification and the communication about these issues with their relatives. Qualitative studies have already started to explore the views of RA patients in this context [30].
In order to develop effective recruitment strategies and potential future preventive strategies for first-degree relatives we also need to have a good understanding of the perceptions this group, and their willingness to engage with preventive approaches. We have recently reported data from interviews with first-degree relatives in three European countries looking at their perceptions of being at risk of RA and of predictive testing. Relatives reported having a range of concerns about both predictive testing and risk information related to RA, including the possibility that knowing ones risk might increase anxiety and reported concerns about the level of uncertainty associated with predictive testing. Those relatives who expressed positive views about predictive testing indicated that they would need support to understand risk information [22].
Recent qualitative research has suggested that uptake of preventive medication by first-degree relatives might be related to perceived baseline risk and experience of the disease through their relative(s) [31]. Furthermore, preliminary data from a choice experiment with first-degree relatives suggest that acceptance of such medication would depend on its effectiveness and side effect profile [24]. In relation to lifestyle changes, one recent trial looked at the effect of disclosure of first-degree relatives’ RA risk personalised with genetics, biomarkers, and lifestyle factors on their health behaviour intentions and actual behaviour [21] and found that those at risk were motivated to and actually changed certain behaviours after such personalised information. However, there is currently no information available about first-degree relatives’ perceptions around these lifestyle changes and pharmacological interventions aimed at reducing the risk of RA development. This paper provides an exploration of previously unreported data collected during our earlier interview study [22] with first-degree relatives examining these issues in more detail.
Methods
Participants
Eligible participants were the first-degree relatives of people with an existing diagnosis of RA. Patients with RA were approached during their routine secondary care clinic appointments in Birmingham (United Kingdom), Erlangen (Germany) and Vienna (Austria) and asked to consider contacting a first-degree relative about participation in an interview study about risk and predictive testing for RA. Full procedural details are presented elsewhere [22]. We restricted the selection of relatives to offspring and siblings and excluded parents. In order to be eligible to take part, first-degree relatives had to be aged 18 years or over and not diagnosed with inflammatory arthritis at the time of the study.
Data collection and analysis
The semi-structured interviews were conducted either face to face at the recruiting hospital sites or by telephone and were guided by an interview schedule (Table 1). The schedule was informed by a literature review [32, 33] and in consultation with an international team of healthcare professionals, researchers and patient research partners participating in the EuroTEAM (Towards Early diagnosis and biomarker validation in Arthritis Management) project [34]. The interviewers in the UK were conducted by RS (female research fellow with a psychology background) and KK (female researcher and nurse specialist)). Interviews in Germany were conducted by AH (male senior clinical research fellow) and interviews in Austria were conducted by EM (female occupational therapist and researcher). All interviewers had previous experience of conducting interviews and RS, KK, and EM have extensive experience of qualitative methods. Interviewees received information about EuroTEAM in the participant information sheet (i.e. that it is a multi-country research project funded by the EU) and were told the name of the person interviewing them, as well as their role in the project. All interviews were audio recorded and transcribed by a professional transcription service. Interviews conducted in Germany and Austria were translated from German into English following transcription by bilingual native speakers and the translations were checked by the respective research teams. All transcripts were analysed centrally at the University of Birmingham, United Kingdom.
Data collection and analysis were carried out in parallel to allow for an assessment of when thematic saturation had been achieved. Transcripts were analysed thematically [35] using NVivo (software programme for qualitative data analysis; [36]). One researcher (RJS) coded all the transcripts and three patient research partners blind coded three transcripts. The coding framework was discussed with the patient research partners and coding categories that lacked concordance were absorbed into the coding framework. The initial codes were then grouped into the most noteworthy and frequently occurring categories by RJS, KK and GS.
Results
Thirty-four first-degree relatives of RA patients were interviewed; 24 from the UK, three from Germany and seven from Austria. Participants were aged between 21 and 67 years (M = 39, SD = 10.8), and 76% (n = 26) were female. All but two British participants were white. Table 2 gives the individual participant characteristics including age, gender, relation to relative with RA and current musculoskeletal symptoms.
Interviews lasted between 30 and 90 min. The results presented here represent a new analysis of the resulting transcribed data. Findings related to an analysis of perceptions of risk and predictive testing are presented elsewhere [22]. The core themes presented here focus on perceptions of first-degree relatives about the possibility of making lifestyle changes and taking preventive medicine to modify their risk of developing RA. An overview of the organising themes and subthemes can be found in Table 3. Quotations referred to in the text can be found in Tables 4 and 5.
Modifying risk through lifestyle intervention
Many participants expressed positive views about undertaking lifestyle changes to reduce their risk of developing RA in the future (Table 4, Quote 1 (T4Q1)) or to delay the start of the disease (T4Q2). The main lifestyle factors identified by participants included healthy eating, increasing levels of exercise and smoking cessation. Some participants indicated that they were already trying to live as healthily as possible (although not necessarily focused on preventing RA), but that they would be willing to make additional changes (T4Q3–4). Diet in particular was highlighted as a modifiable risk factor for development of RA and one which patients could take control of (T4Q5). Some participants felt that being overweight and ageing were risk factors for the development of RA (T4Q6).
Participants felt it would be useful to know their personal risk of developing RA so they could modify their lifestyle as a preventive measure (T4Q7). Many participants indicated that they would need information about if and how certain factors such as exercise and diet might impact on the risk of developing RA before deciding what they would do (T4Q8–9).
Some participants expressed more negative views and indicated that they might not be prepared to make lifestyle changes as a preventive measure. Some were more concerned about the perceived negative consequences of making such changes and as a result of that might not want to engage with them (T4Q10). One person indicated that if the only information they have, is that they are at a heightened risk of RA they would not make a change to their diet (T4Q11).
Only a small proportion of the first-degree relatives were current smokers (five, one of whom smoked very rarely) and 2 were ex-smokers. Whereas one smoker described their willingness to give up smoking if a test result identified him as being a person at risk (T4Q12–13), another smoker indicated that a 50% baseline risk would not be enough to consider stopping (T4Q14). A third smoker indicated that they were only prepared to give up smoking if it was confirmed to them that this would definitely prevent them from developing RA (T4Q15). Participants who were not current smokers either identified or accepted that smoking is a risk factor for the development of RA and contemplated how smokers may react negatively to risk information (T4Q16). Another participant pointed out that it can be difficult to avoid passive smoking (T4Q17) and hence the exposure to this risk factor.
Willingness to take preventive medicines to modify risk
When discussing the possibility of taking preventive medicines if identified as being at high risk of developing RA, many participants highlighted that they would be worried about possible side effects of these medications (T5Q1). They indicated that they would need to think very carefully about the pros and cons of taking preventive medication before making a decision (T5Q2–3). Some participants further worried about the effect of the preventive medication on their existing medical conditions and the potential interaction with current medication (T5Q4–5). Other participants considered the long-term implications of taking medicines, and whether it would, for example, have an impact on family planning in the future (T5Q6). The immunosuppressive properties of disease modifying anti-rheumatic drugs were a particular concern for participants, especially those who had seen the side-effects of such medicines (e.g. an increased frequency of infections) experienced by their family members with RA (T5Q7).
For some participants, weighing up the side-effects of preventive treatment, which were often described as if they were highly likely or certain to occur, against the relative uncertainty of developing RA in the future, meant that they would most likely decline to have preventive medication unless it was shown to be highly effective (T5Q8). Many participants indicated that they would not be willing to take a preventive medication based on a “probability” provided by a predictive test and that they would need more “definitive” evidence (T5Q9). It was felt that this type of probability information (E.g. ‘You have a 50-50 chance to develop RA’) was too uncertain to inform a choice about medication. Participants reported that a preventive pharmacological therapy would be considered only if the medicine was highly effective in reducing their risk (T5Q10). There were further worries about potentially taking medication for the rest of their lives and the potential consequences of stopping medication (T5Q11). Participants suggested that if a test showed that there was a 50% risk that they would develop RA, this would not be enough for them to accept preventive medication, though they felt that this information might encourage them to monitor for the onset of potential symptoms of RA. Others suggested a relatively high predicted baseline risk might be high enough to convince them to accept preventive medication (e.g. one interviewee suggested this would be a 70–80% risk that they would develop RA; T5Q12).
In addition, several participants expressed negative opinions about taking medicines in general, in some cases as a result of past experiences with being prescribed medication that they perceived to be unnecessary,-and they anticipated that this attitude would stop them from taking medication to prevent the onset of RA (T5Q13–14). Others indicated that, based on the assumption of an equal level of risk reduction, they would rather prefer to make lifestyle changes as opposed to taking long term medication (T5Q15) in order to reduce their risk of developing RA.
There was also a group of participants who could understand why preventive medicine may be prescribed if they were found to be at risk of developing RA in the future and anticipated that they would be willing to accept such treatment (T5Q16). This was especially the case for those participants who had experienced the negative impact of the illness on their relatives (T5Q17).
Participants were supportive of the idea that predictive testing could be useful to alert those who are at high risk to be vigilant for the early symptoms of RA, so that treatment could be initiated as soon as symptoms appeared (T5Q18). Many participants suggested that they would prefer this strategy of early intervention during the symptomatic phase as opposed to taking a preventive medicine prior to the onset of symptoms (T5Q19).
Finally, for some participants the issue of engaging with a preventive intervention depended on an expectation that it would definitely be effective (T5Q20).
Discussion
Given the current impetus to identify early intervention points in the RA disease pathway, it is important to understand the perspectives of those at increased risk of developing RA about possible preventive interventions. The current study looked at one particular at risk group, first-degree relatives, and found that many anticipated being happy to make lifestyle changes such as losing weight, increasing exercise and changing diet to modify their risk of developing RA. However, there was less enthusiasm about a pharmacological approach, at either the pre-symptomatic or the symptomatic at risk stage [9, 24].
The interviewees’ reactions to the possibility of making lifestyle changes might be in part due to the social desirability of giving such a response and it is unclear how many would actually adopt these behaviours. One would expect that using well trained interviewers who, with one exception were non-Rheumatologists, went some way to avoiding such responses. Further, the results from the trial conducted by Sparks and colleagues [21] indicate that first-degree relatives were both motivated to modify their behaviour and reported making actual lifestyle changes (e.g. increasing their fish intake; quitting smoking) especially after receiving personalised information about their risk status and the impact of health behaviours on their risk status. This implies that first-degree relatives might indeed follow through on making lifestyle changes after receiving relevant (and personalised) information. Indeed, some interviewees in the current study indicated that they would appreciate further information about the impact of such behavioural changes on their risk of developing RA. Others said that they would require definitive confirmation that it would lead to a significant reduction in their risk of developing RA before contemplating making such changes. Interviewees were more reluctant to contemplate making changes in their lifestyle if they considered there to be negative effects of making such changes. Stopping smoking can be a difficult lifestyle change to make due to the addictive nature of tobacco [37]. In our sample, the perceived benefits of stopping smoking in relation to RA would make some participants more likely to consider smoking cessation if they were found to be at risk of developing RA. Others would need more certainty that this lifestyle change would eliminate their risk of developing RA altogether. These findings are in line with research in other at risk groups for chronic conditions such as diabetes or cardiovascular disease (CVD). In a study where individuals were given their actual risk score for CVD, some indicated that they had made or intended to make lifestyle changes such as diet change or stopping smoking, whereas others would not make those changes, for example, because they disbelieved the risk score or downplayed their risk, or because they actively resisted making such changes and for example ‘could not be bothered’ to stop smoking [38]. A person’s motivation to be healthy prior to being tested for a chronic condition, will impact on how they perceive their risk and their willingness to make behavioural changes once they receive their results [32]. Further research is needed to comprehensively assess predictors of responses to information about disease risk.
The finding that first-degree relatives were more hesitant about preventive medication is in agreement with how patients with RA in previous research felt that their family members might react if given the option of preventive medicine [30]. In line with findings from previous research in RA (e.g [27, 39]), potential side effects, long-term implications of taking the medication and possible interactions with existing conditions and medications were a major concern for many of our interviewees and they indicated that they would weigh up perceived benefits and potential harms before making a decision about therapy. Personal experiences of RA in family members influenced decision making about the value of preventive medication for several interviewees. On the one hand, those who had observed the side effects of medications such as Disease Modifying Anti-Rheumatic Drugs (DMARDs) experienced by their relatives indicated that they might be more reluctant to take the medication as a preventive measure. On the other hand, some interviewees, who had witnessed the negative effects of RA on their relative’s daily life, were keen to use preventive medicine to reduce the risk of developing musculoskeletal symptoms. Acceptance of preventive medication was further associated with the issue of certainty of future RA development. Many felt that uncertainty around future development of RA would discourage them from accepting medications, which they associated with negative side effects. Some interviewees indicated that they would only consider taking medication after the onset of symptoms, and the main value of predictive screening would be to identify the extent to which they should be on the alert for the start of RA symptoms – at which point they would consider therapy which is also in line with findings from a recent focus group study with first-degree relatives [39]. Interviewees in the current study were further not directly asked what they perceived their current risk of developing RA to be, but it is likely that different levels of perceived risk might have had an impact on their views on preventative measures. Future research should explore this relationship further.
Interviewees in this study were not provided with detailed information about the likely duration, frequency of method of administration of preventive treatments. Some of our interviewees appeared to assume that treatment to reduce their risk of RA would involve long-term medication and associated extended risk of side effects. This could account for negative viewpoints towards such treatment. However the trial that is currently evaluating preventive therapy (hydroxychloroquine) for this group (asymptomatic individuals) involves a 12 month course [25], which could be considered as relatively long term treatment.
A recent discrete choice experiment looking at first-degree relatives’ preferences related to pharmacological interventions, suggested that method of administration may be an important determinant of preventive treatment acceptability [40]. In contrast a related best worst scaling pilot study found that the efficacy and risks of treatment were more important than method of administration in decision making about preventive treatments [24]. Further quantitative evidence is needed to clarify the relative importance of treatment related and other attributes in the choices made by at risk individuals about preventive therapy for RA.
Collectively these findings suggest that educational approaches will be needed to support preventive strategies, and should include information about the benefits and risks of lifestyle changes and pharmacological interventions as well as details about the nature of the intervention itself. This supportive information should be given in the context of personalised risk estimation with clear (and where possible quantitative) information about the potential for risk reduction associated with such interventions [41]. As predictive algorithms for RA continue to evolve and improve, the interplay between genetic and environmental factors could be highlighted and it is possible for interactive tools to give people personalised information about their risk of developing RA given their genetic make-up and current lifestyle, demonstrating how RA risk can be changed by making certain lifestyle changes. The recent trial of such a tool shows a positive impact on both intended and actual risk related behaviour change [21]. However, there remains a misalignment between public expectations of risk assessment (e.g. being able to predict with 100% certainty whether or not an individual will develop a disease) and the realistic possibilities of predictive models – which provide probabilistic risk estimates with varying confidence intervals [30]. Levels of confidence in estimates of risk or efficacy may impact on preferences for preventive treatments [30, 40, 42], therefore informational resources accompanying preventive interventions should therefore also manage expectations around the accuracy of risk information [42].
Our results further highlight the need to communicate risk information in a way that is sensitive to the personal/family context or life situation of each individual. One could also provide information that is specifically tailored for different groups with varying experiences of RA in order to provide a richer, more personalised reflection of their own experience. First-degree relatives are a distinct at risk group and their views are likely to be influenced by their personal experiences with RA. As such, their information needs are likely to be different from those of the general population and of other at risk groups, such as patients with clinically suspect arthralgia [43] or undifferentiated arthritis. In ongoing research we are exploring the perspectives of other at risk groups and the wider public, and predictors of perceptual variability within each of these groups.
A number of limitations need to be considered when interpreting the findings of the current research. Firstly, the proportion of men in the sample was relatively small. Although this does reflect the fact that fewer men than women develop RA [1], important viewpoints may have been missed in the current study and future research should aim to include a larger sample size of men. Similarly, although we interviewed relatives in three different European countries, the current sample is not ethnically diverse and as such does not comprehensively represent the population of each of the participating countries. The sample size and qualitative approach used here do not allow for comparative analysis between the three countries and assessment of cross-cultural differences are not possible on the basis of the current data. Future research should therefore specifically address these omissions in order for screening and intervention programmes to be tailored for as wide a target population as possible and to provide related information in a way that is gender or culturally appropriate. Further quantitative evidence is needed to explore psychosocial and cultural predictors of preference heterogeneity and the degree to which at risk individuals trade off positive and negative aspects of preventive interventions for RA.
Since access to first-degree relatives is usually indirectly through patients with existing RA, future research needs to extend and quantify findings of previous research [30] related to if and how RA patients are likely to communicate with their first-degree relatives about their increased risk of developing RA and risk reduction options. This information will help to facilitate the development of efficient preventive approaches and recruitment of participants to preventive studies. The current research discussed participants’ willingness to make (hypothetical) lifestyle changes. However, although there is consensus about some lifestyle factors which influence a person’s personal risk of developing RA (such as smoking), more research is needed to understand the degree of risk reduction, in the context of different genetic backgrounds, associated with risk related lifestyle changes [21]. Only when such data are available can those at risk make informed decisions about preventive intervention.
Conclusion
The current research gives an indication of first-degree relatives’ perceptions of lifestyle changes and preventive medication to reduce their risk of developing RA and the factors associated with acceptability of such preventive measures. It identifies factors which should be highlighted in informational materials aimed at first-degree relatives who are considering participating in related research studies or preventive approaches as well as highlighting factors which warrant further investigation.
Abbreviations
- CVD:
-
Cardiovascular Disease
- DMARDs:
-
Disease Modifying Anti-Rheumatic Drugs
- RA:
-
Rheumatoid Arthritis
References
- 1.
Gibofsky A. Overview of epidemiology, pathophysiology, and diagnosis of rheumatoid arthritis. Am J Manag Care. 2012;18(Suppl 13):295–302.
- 2.
Filipovic I, Walker D, Forster F, Curry AS. Quantifying the economic burden of productivity loss in rheumatoid arthritis. Rheumatology (Oxford). 2011;50:1083–90.
- 3.
Feldman D, Bernatsky S, Beauchamp ME, Abrahamowicz M. Early consultation with a rheumatologist for RA: does it reduce subsequent use of orthopaedic surgery? Rheumatology (Oxford). 2013;52:452–9.
- 4.
Nell V, Machold KP, Eberl G, Stamm T, Uffmann M, Smolen JS. Benefit of very early referral and very early therapy with disease-modifying anti-rheumatic drugs in patients with early rheumatoid arthritis. Rheumatology. 2004;43:906–14.
- 5.
Raza K, Buckley CE, Salmon M, Buckley CD. Treating very early rheumatoid arthritis. Best Pract Res Clin Rheumatol. 2006;20:849–63.
- 6.
Raza K, Filer A. The therapeutic window of opportunity in rheumatoid arthritis: does it ever close? Ann Rheum Dis. 2015;74:793–4.
- 7.
Scott D, Hunter J, Deighton C, Scott D, Isenberg D. Treatment of rheumatoid arthritis is good medicine. BMJ. 2011;343:d6962.
- 8.
van der Linden M, le Cessie S, Raza K, van der Woude D, Knevel R, Huizinga T, et al. Long-term impact of delay in assessment of early arthritis patients. Arthritis Rheum. 2010;62:3537–46.
- 9.
Demoruelle MK, Deane KD. Treatment strategies in early rheumatoid arthritis and prevention of rheumatoid arthritis. Curr Rheumatol Rep. 2012;14:472–80.
- 10.
Karlson EW, van SD, van der Helm-van Mil AH. Strategies to predict rheumatoid arthritis development in at-risk populations. Rheumatology (Oxford). 2016;55:6–15.
- 11.
Yarwood A, Huizinga TW, Worthington J. The genetics of rheumatoid arthritis: risk and protection in different stages of the evolution of RA. Rheumatology (Oxford). 2016;55:199–209.
- 12.
Somers EC, Antonsen S, Pedersen L, Sorensen HT. Parental history of lupus and rheumatoid arthritis and risk in offspring in a nationwide cohort study: does sex matter? Ann Rheum Dis. 2013;72:525–9.
- 13.
Grant SF, Thorleifsson G, Frigge ML, Thorsteinsson J, Gunnlaugsdottir B, Geirsson AJ, et al. The inheritance of rheumatoid arthritis in Iceland. Arthritis Rheum. 2001;44:2247–54.
- 14.
Frisell T, Holmqvist M, Kallberg H, Klareskog L, Alfredsson L, Askling J. Familial risks and heritability of rheumatoid arthritis: role of rheumatoid factor/anti-citrullinated protein antibody status, number and type of affected relatives, sex, and age. Arthritis Rheum. 2013;65:2773–82.
- 15.
Sugiyama D, Nishimura K, Tamaki K, Tsuji G, Nakazawa T, Morinobu A, Kumagai S. Impact of smoking as a risk factor for developing rheumatoid arthritis: a meta-analysis of observational studies. Ann Rheum Dis. 2010;69:70–81.
- 16.
Lu B, Solomon DH, Costenbader KH, Karlson EW. Alcohol consumption and risk of incident rheumatoid arthritis in women: a prospective study. Arthritis Rheumatol. 2014;66:1998–2005.
- 17.
Kallberg H, Jacobsen S, Bengtsson C, Pedersen M, Padyukov L, Garred P, et al. Alcohol consumption is associated with decreased risk of rheumatoid arthritis: results from two Scandinavian case-control studies. Ann Rheum Dis. 2009;68:222–7.
- 18.
Pattison DJ, Silman AJ, Goodson NJ, Lunt M, Bunn D, Luben R, et al. Vitamin C and the risk of developing inflammatory polyarthritis: prospective nested case-control study. Ann Rheum Dis. 2004;63:843–7.
- 19.
Pattison DJ, Symmons DP, Lunt M, Welch A, Luben R, Bingham SA, et al. Dietary risk factors for the development of inflammatory polyarthritis: evidence for a role of high level of red meat consumption. Arthritis Rheum. 2004;50:3804–12.
- 20.
Rosell M, Wesley AM, Rydin K, Klareskog L, Alfredsson L. Dietary fish and fish oil and the risk of rheumatoid arthritis. Epidemiology. 2009;20:896–901.
- 21.
Sparks JA, Iversen MD, Yu Z, Triedman NA, Prado MG, Miller Kroouze R, et al. Disclosure of personalized rheumatoid arthritis risk using genetics, biomarkers, and lifestyle factors to motivate health behavior improvements: a randomized controlled trial. Arthritis Care Res. 2017. https://doi.org/10.1002/acr.23411 [Epub ahead of print].
- 22.
Stack RJ, Stoffer M, Englbrecht M, Mosor E, Falahee M, Simons G, et al. Perceptions of risk and predictive testing held by the first-degree relatives of patients with rheumatoid arthritis in England, Austria and Germany: a qualitative study. BMJ Open. 2016;6:e010555. https://doi.org/10.1136/bmjopen-2015-010555.
- 23.
Sparks JA, Chen CY, Jiang X, et al. Improved performance of epidemiologic and genetic risk models for rheumatoid arthritis serologic phenotypes using family history. Ann Rheum Dis. 2015;74:1522–9.
- 24.
Finckh A, Escher M, Liang MH, Bansback N. Preventative treatments for rheumatoid arthritis: issues regarding patient preferences. Curr Rheumatol Rep. 2016;18:51.
- 25.
Strategy to Prevent the Onset of Clinically-Apparent Rheumatoid Arthritis (StopRA). 2018. https://clinicaltrials.gov/ct2/show/record/NCT02603146?view=record. Accessed 23 March 2018.
- 26.
Kolfenbach JR, Deane KD, Derber LA, O'Donnell C, Weisman MH, Buckner JH, et al. A prospective approach to investigating the natural history of pre-clinical rheumatoid arthritis (RA) using first-degree relatives of Probands with RA. Arthritis Rheum. 2009;61:1735–42.
- 27.
Arthritis-Checkup: Study of an early detection of the disease. 2017 http://www.arthritis-checkup.ch/index_gb.html. Accessed 23 March 2018.
- 28.
PREVeNT RA: a nationwide Register of First-Degree Relatives of Patients with Rheumatoid Arthritis to evaluate predictors of the development of RA. 2017. http://research.bmh.manchester.ac.uk/Musculoskeletal/research/CfE_ARCHIVE/preventra/. Accessed on 27 July 2017.
- 29.
Cornelis F, Finckh A. AB0225 recruitment difficulty for unaffected rheumatoid arthritis relatives due to misplaced guilt? Ann Rheum Dis. 2013;72:A855–6.
- 30.
Falahee M, Simons G, Buckley CD, Hansson M, Stack RJ, Raza K. Patients' perceptions of their Relatives' risk of developing rheumatoid arthritis and of the potential for risk communication, prediction, and modulation. Arthritis Care Res. 2017;69:1558–65.
- 31.
Novotny F, Haeny S, Hudelson P, Escher M, Finckh A. Primary prevention of rheumatoid arthritis: a qualitative study in a high-risk population. Joint Bone Spine. 2013;80:673–4.
- 32.
Bayliss K, Raza K, Simons G, Falahee M, Hansson M, Starling B, Stack RJ. Perceptions of predictive testing for those at risk of developing a chronic inflammatory disease: a meta-synthesis of qualitative studies. J Risk Res. 2018;21:167–89.
- 33.
Falahee M, Simons G, Raza K, Stack RJ. Healthcare professionals' perceptions of risk in the context of genetic testing for the prediction of chronic disease: a qualitative metasynthesis. J Risk Res. 2016;21:1–38.
- 34.
European Commision. Final Report Summary - EURO-TEAM (Towards Early diagnosis and biomarker validation in Arthritis Management). http://cordis.europa.eu/result/rcn/194541_en.html. Accessed 2 Aug 2017.
- 35.
Guest GS, MacQueen KM, Namey EE. Applied thematic analysis. Thousand oaks. California: Sage Publications; 2012.
- 36.
NVivo qualitative data analysis Software; QSR International Pty Ltd. Version 10, 2012.
- 37.
Roberts NJ, Kerr SM, Smith SMS. Behavioral interventions associated with smoking cessation in the treatment of tobacco use. Health Services Insights. 2013;6:79–85.
- 38.
Honey S, Hill K, Murray J, Craigs C, House A. Patients’ responses to the communication of vascular risk in primary care: a qualitative study. Prim Health Care Res Dev. 2015;16:61–70.
- 39.
Munro S, Spooner L, Milbers K, Hudson M, Koehn C, Harrison M. Perspectives of patients, first-degree relatives and rheumatologists on preventive treatments for rheumatoid arthritis: a qualitative analysis. BMC Rheumatol. 2018;2:18.
- 40.
Harrison M, Spooner L, Hudson M, Milbers K, Koehn CL, Finckh A, Bansback N. Preventing Rheumatoid Arthritis: North American Perspectives of Patients and First-Degree Relatives on the Risk of Developing the Disease and of Potential Preventative Interventions [abstract]. Arthritis Rheumatol. 2017;69(suppl 10). https://acrabstracts.org/abstract/preventing-rheumatoid-arthritis-north-american-perspectives-of-patients-and-first-degree-relatives-on-the-risk-of-developing-the-disease-and-of-potential-preventative-interventions/. Accessed 26 Sept 2018.
- 41.
EuroTEAM: Am I likely to develop rheumatoid arthritis: A guide for relatives of patients with rheumatoid arthritis. 2016. https://www.birmingham.ac.uk/Documents/college-mds/r2p2/Arthritis-booklet-relatives1.pdf. Accessed 23 Mar 2018.
- 42.
Hunter DJ. Uncertainty in the era of precision medicine. N Engl J Med. 2016;375(8):711–3.
- 43.
van Steenbergen HW, Aletaha D, Beaart-van de Voorde LJ, Brouwer E, Codreanu C, Combe B, Fonseca JE, Hetland ML, Humby F, Kvien TK, Niedermann K, Nuño L, Oliver S, Rantapää-Dahlqvist S, Raza K, van Schaardenburg D, Schett G, De Smet L, Szücs G, Vencovský J, Wiland P, de Wit M, Landewé RL, van der Helm-van Mil AH. EULAR definition of arthralgia suspicious for progression to rheumatoid arthritis. Ann Rheum Dis. 2017;76(3):491–6.
Acknowledgements
The authors would like to thank the EuroTEAM Patient Research Partners Panel for their involvement in this research. In particular, we would like to thank Codruta Zabalan, Di Skingle, Mircia Dobrin who have been instrumental in the coding of the current research.
Funding
This work was supported by the European Union within the FP7 HEALTH programme under the grant agreement FP7-HEALTH-F2–2012–305549 (Euro-TEAM) and by Riksbankens Jubileumsfond (The Swedish Foundation for Humanities and Social Sciences) under Grant M13–0260:1 ‘Mind the Risk’. K Raza is supported by the NIHR Biomedical Research Centre, Birmingham, UK.
Availability of data and materials
The datasets (interview transcripts) generated and analysed during the current study are not publicly available due the possibility of the individual’s privacy being compromised. They are however available from the authors upon reasonable request and taking into account the ethical constraints.
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GS: Contributed to study conception and design; analysed and interpreted data; drafted the manuscript and revised it. RJS: Contributed to study conception and design; collected, analysed and interpreted data; was involved in the drafting and revision of the manuscript as joint first author. MS: Contributed to study conception and design; collected data; was involved in the drafting and revision of the manuscript. ME: Contributed to study conception and design; collected data; was involved in the drafting and revision of the manuscript. EM: Contributed to study conception and design; collected data; was involved in the drafting and revision of the manuscript. KK: Contributed to study conception and design; collected, analysed and interpreted data; was involved in the drafting and revision of the manuscript. MH: Contributed to study conception and design; was involved in the drafting and revision of the manuscript. AH: Contributed to study conception and design; was involved in the drafting and revision of the manuscript. TS: Contributed to study conception and design; was involved in the drafting and revision of the manuscript. MF: Contributed to study conception and design; was involved in the drafting and revision of the manuscript. KR: Contributed to study conception and design; was involved in the drafting and revision of the manuscript. Final approval of the version of the article to be published was given by all authors.
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Ethical approval was obtained from the Humber Bridge National Research Ethics Committee (UK), from the Ethics Committee of the Medical University of Vienna (Austria) and from the Ethics Committee of the University of Erlangen-Nuremberg (Germany). All participants gave their written informed consent.
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We have received written informed consent from all our interviewees to publish the details, including the anonymised quotes from the interviews, contained within this manuscript.
Competing interests
Rebecca Jayne Stack is an editorial board member for this journal. All other authors declare they have no conflicts of interests.
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Simons, G., Stack, R.J., Stoffer-Marx, M. et al. Perceptions of first-degree relatives of patients with rheumatoid arthritis about lifestyle modifications and pharmacological interventions to reduce the risk of rheumatoid arthritis development: a qualitative interview study. BMC Rheumatol 2, 31 (2018). https://doi.org/10.1186/s41927-018-0038-3
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Keywords
- Rheumatoid arthritis
- Risk
- Qualitative
- Relatives
- Preventive medicine
- Lifestyle changes
