BioMed Research International

BioMed Research International / 2015 / Article
Special Issue

Inflammatory Joint Diseases

View this Special Issue

Review Article | Open Access

Volume 2015 |Article ID 150658 | 10 pages |

Medication Adherence in Patients with Rheumatoid Arthritis: The Effect of Patient Education, Health Literacy, and Musculoskeletal Ultrasound

Academic Editor: Shigeru Kotake
Received24 Nov 2014
Revised08 Feb 2015
Accepted09 Feb 2015
Published28 Apr 2015


Background. Rheumatoid arthritis (RA) is a chronic systemic inflammatory disease affecting <1% of the population. Incompletely controlled RA results in fatigue, joint and soft tissue pain, progressive joint damage, reduced quality of life, and increased cardiovascular mortality. Despite an increasing range of disease modifying agents which halt disease progression, poor patient adherence with medication is a significant barrier to management. Objective. The goal of this review was to examine the effectiveness of measures to improve patient medication adherence. Methods. Studies addressing treatment adherence in patients with RA were identified by trawling PsycINFO, Medline, Cochrane, Pubmed, and ProQuest for studies published between January 2000 and October 2014. Articles were independently reviewed to identify relevant studies. Results. Current strategies were of limited efficacy in improving patient adherence with medications used to treat RA. Conclusion. Poor medication adherence is a complex issue. Low educational levels and limited health literacy are contributory factors. Psychological models may assist in explaining medication nonadherence. Increasing patient knowledge of their disease seems sensible. Existing educational interventions appear ineffective at improving medication adherence, probably due to an overemphasis on provision of biomedical information. A novel approach to patient education using musculoskeletal ultrasound is proposed.

1. Introduction

Rheumatoid arthritis (RA) is a chronic systemic autoimmune inflammatory disease with a prevalence of approximately 1% [1, 2]. Incompletely controlled RA results in severe progressive joint damage, functional disability, morbidity, and increased mortality [3]. Clarification of the molecular pathogenesis of RA has led to an increasing number of targeted therapies [4, 5]. Early intervention with disease-modifying antirheumatic drugs (DMARDs) and biological DMARDs (bDMARDs) improves long-term functional outcomes [69]. Depending upon the clinical situation, a realistic goal for every patient with RA is now low disease activity or disease remission [10].

Despite extensive evidence regarding drug efficacy and the risk of long-term harm from uncontrolled RA, medication adherence rates remain suboptimal, ranging from 30 to 80% [1113]. Improving medication adherence with currently available DMARDs and bDMARDs would improve treatment effectiveness and reduce healthcare costs [14, 15]. Medication nonadherence is a dynamic, multifaceted issue affected by (i) patient factors, (ii) disease features, and (iii) drug characteristics. Although more effective interventions for improving medication adherence are needed [16], medication nonadherence remains a poorly studied phenomenon [17].

Medication nonadherence can be classified as primary or secondary, both of which are influenced by different factors [18]. Primary nonadherence occurs when a patient fails to fill an initial prescription [19]. This is often influenced by socioeconomic factors, such as out-of-pocket medication costs [18, 20]. Secondary nonadherence occurs when a patient prematurely discontinues the medication [19]. This may be associated with factors such as lack of drug efficacy, slow disease response to treatment, and adverse drug reactions.

Both primary and secondary medication nonadherence may be affected by low levels of health literacy and patient education. These factors may compromise patient understanding of the adverse outcomes from poorly controlled RA. Patients with RA often lack sufficient understanding to make informed health-care decisions [21]. In contrast, those with greater appreciation of the risks and benefits of treatment were more likely to accept risk to achieve better outcomes [21]. Unfortunately, patient educational interventions usually have limited effectiveness at improving medication adherence [3, 12, 2224].

While many factors influence drug adherence, this review will focus on the effectiveness of existing educational and health literacy interventions targeting medication adherence in patients with RA. Psychological models of medication adherence and, within this context, current and past educational interventions will be explored. The effect of health literacy and the utility of musculoskeletal ultrasound (MSKUS) as an educational tool will also be discussed.

2. Methods

We performed a computerised systematic literature search of five databases (PsycINFO, Medline, Cochrane, Pubmed and Proquest) using a wide range of search terms to identify English language, peer reviewed papers dealing with medication adherence in patients with RA published between January 2000 and October 2014 (Table 1). A similar search strategy was employed to identify relevant publications dealing with the effect of patient education and health literacy on medication adherence in patients with RA (Table 2). Citation tracking was also used to identify additional papers. The most relevant articles for inclusion in this review were identified by SJ, RVDZ, and PKKW using strict inclusion and exclusion criteria (Table 3).

Search terms
Number of papers identified Number of full text peer reviewed papers able to be accessedReasons for exclusion (number)Number of papers identified for inclusion ref. number

PsycINFO via EBSCO host
Rheumatoid arthritis
235Juvenile population (1)
Review paper (1)
Not relevant (2)

ProQuest (general)
rheumatoid arthritis
30991891Already included (1)
Review papers (2)
Juvenile population (1)
Not relevant (1886)

ProQuest (general)
Rheumatoid arthritis
4391 2118 Already included (1)
Juvenile population (1)
Not relevant (2114)
[27, 28]

ProQuest (general)
Adherence or compliance
rheumatoid arthritis
Factors or  predictors
5486 Already included (3)
Not relevant (5481)
[29, 32]

rheumatoid arthritis
and  Medication persistence
4815 Already included (3)
Unrepresentative population (2)
Not relevant (9)

Rheumatoid arthritis
163 138 Review/meta-analysis (2)
Juvenile population (2)
Not relevant (133)

Adherence [or] compliance
rheumatoid arthritis
Factors or  predictors
17 9 Osteoporosis management (1)
Not relevant (7)

Search terms
ResultsReasons for exclusion Accepted citations ref. number

PsycINFO via OvidSP host
Rheuma* arthritis [or] Rheuma* disease [or] RA
Complian* [or] non?compli* [or] adherence [or] non?adherence [or] refusal [or] regime*
Medic* [or] pharmac*or drug or treatment or therapy or biologic or ?DMARD? or disease?modifying*
Patient education*or intervention or strategy or knowledge or health liter*  or understanding
20, juvenile/paediatric population
, review/qualitative/
, not relevant

EBM Reviews, All-Cochrane DSR, ACP Journal Club, DARE, and CCTR OvidSP host
Rheuma* arthritis [or] RA [or] rheama* disease
Complian* [or] non?compli*[or] adherence [or] non?adherence [or] refusal [or] regime
Medic*[or] pharmac* [or] drug or treatment or therapy or biologic or ?DMARD?
473, already included
, not relevant

MedLine via OvidSP host
Rheuma* arthritis [or] RA [or] rheama* disease
Complian*   [or] non?compli*   [or] adherence [or] non?adherence [or] refusal [or] regime
Medic* [or] pharmac*    or drug or treatment or therapy or biologic or ?DMARD?  
221, already included
, juvenile population
, review/qualitative/
, not relevant
, female-only sample
[28, 59]

The asterisk star is a wildcard search character. In this instance, it represents a string of characters, for example, the * matches zero or more characters, so rheum * will generate rheumatoid, rheumatology, rheumatic and so forth.

Selection criteriaInclusion criteriaExclusion criteria

American College of Rheumatology criteria for the diagnosis of RA
Under 18 years

Research designExperimental
Case studies
Retrospective cohort study

Measurement scales Validated questionnaires
Blood assays
Records/claims (pharmaceutical/insurance)
Event monitoring

RA-specific medication Disease modifying antirheumatic drugs (DMARDS)
Biological DMARDS
Slow acting antirheumatic drugs (SAARDS)
Analgesics only
Nonsteroidal anti-inflammatory drugs
Corticosteroids only

This review favours the term “adherence” over “compliance” as it reflects a shift in the clinician-patient relationship since the 1950s when the term “compliance” was commonly used [25]. “Compliance” may have authoritarian connotations as it refers to concordance of patient behaviour with medical advice [11, 26]. In contrast, “adherence” implies patient-clinician collaboration rather than obedience to didactic dissemination of medical advice.

3. Cognitive Models of Medication Adherence

Many factors affect medication adherence in patients with RA. In patients commencing the “anchor” DMARD methotrexate (MTX), adherence could be explained by a strong belief in the necessity of treatment, although it was not influenced by the severity of functional impairment [27]. Higher levels of medication adherence have been associated with participation in a patient education programme [28], following provision of more information about RA treatment [29], Caucasian ethnicity [30], and less disability [31]. Older age has been associated with both increased [27, 29, 32] and decreased [31, 33] medication adherence. Concomitant medication use has been associated with both higher [34] and lower [30] levels of medication adherence. Patients with stronger beliefs about the necessity of medication and who believed medications were generally not overused were more likely to be adherent to medication [34]. Rheumatoid disease activity had a variable relationship with medication adherence [31, 32]. Higher out-of-pocket costs [20], employment [27, 29], and cognitive impairment [29] were associated with reduced adherence rates.

As outlined above, the inability to consistently identify factors accurately predicting medication nonadherence in patients with RA has spurred development of cognitive models to better explain this complex phenomenon [11, 12]. One of the most widely used models is the Health Belief Model (HBM) which is a theoretical framework postulating that adherence decisions are based on implicit cost-benefit analyses, where the extent to which a patient views the necessity of medication is evaluated against concern about potential side effects [35]. The HBM was built on the premise that the likelihood of a person actively responding to a health threat depended on four key factors: (i) perceived illness threat (determined by disease severity and susceptibility), (ii) expectation of positive outcome (anticipated benefits of treatment), (iii) barriers associated with treatment (expected costs and drawbacks), and (iv) the extent to which they intend to adhere to treatment [36, 37].

The cost-benefit assessment offered by the HBM has been quantified as a necessity-concerns differential within the Beliefs about Medications Questionnaire (BMQ) [35, 38]. This user-friendly tool comprises two five-item scales evaluating patient beliefs about the necessity of medication relative to concern about adverse effects and predicts medication adherence more robustly than clinical or sociodemographic factors [35, 36]. When applied to a population with chronic illness such as asthma, renal or cardiac failure, and cancer, it was found that patients whose concern about medication outweighed their belief about the necessity of medication were less adherent to pharmacologic treatment [35]. This may have been an adaptive strategy to minimise potential harm from side effects or may have reflected how strongly patients believed medications were essential; that is, those believing them to be less necessary were more prone to forgetting to take them. Interestingly, many of the perceived “costs” arose from erroneous beliefs, for example, concerns regarding drug dependence [35].

Patients with RA often lacked the understanding required to make informed cost-benefit analyses leading to overestimation of medication risks [21, 39]. Medication risks were often thought to be high relative to surgery possibly because surgical risks were more tangible, making patients more likely to accept surgery even when this was associated with fewer benefits [21]. This highlights the need for effective educational interventions as patients well informed about the risks and benefits of medication performed more biomedically oriented cost-benefit analyses [39]. Those with a greater understanding of the risks and benefits of treatment were more inclined to accept risk in the pursuit of successful disease outcomes [21]. Unwillingness to accept risk compounded by poor understanding of the benefit of conventional biomedical treatment may explain the large number of patients using complementary or alternative medicines (CAMs) as these are often thought to have minimal risk [27, 40, 41]. While most CAMs are tested for safety, rigorous tests of efficacy are scarce [41, 42]. This highlights the importance of explaining the benefits and not just potential side effects of conventional treatment.

Clinicians should view patients as active decision-makers with a vested interest in their health who would be more adherent to medication if they believed the necessity of medication outweighed concerns about adverse effects [35]. Alas, due to medicolegal considerations clinicians often spend more time discussing the adverse effects of treatment rather than the benefits. This has probably been influenced by landmark cases such as the 1992 decision in Rogers v. Whitaker (1992) 175 CLR 479, which established in Australia the standard of care required when a doctor provides information to a patient about the risk of a proposed intervention [43]. The High Court of Australia affirmed that an ophthalmic surgeon should have warned his patient of the one in 14,000 chance of a rare complication (sympathetic ophthalmia) with its associated risk of blindness arising from a procedure. This was despite evidence tendered during the hearing that many of the defendant’s colleagues would not have told their patients about the risk of such a rare complication.

The BMQ has been used in a cross-sectional study to describe the tension experienced by RA patients when assessing the importance of medication versus their concern regarding side effects [36]. Most respondents of a postal survey () mailed to over 600 patients with RA agreed that their medication was necessary for health. However, almost half were concerned about potential adverse effects and this was associated with nonadherence [36]. The observed similarity in disease knowledge between adherent and nonadherent patients raises doubts about the effectiveness of educational interventions which merely increase knowledge [36].

Another psychological model used to describe medication adherence is Leventhal and colleagues’ Self-Regulatory Model (SRM) [44, 45]. This is a hierarchically organised model of illness adaptation based on three primary constructs: illness representations, coping responses, and appraisal of coping responses [46, 47]. Illness representations or “lay beliefs” are defined as complex schemas from personal and familial experiences influencing how patients perceive and cope with chronic illness [48]. Cognitive and emotional illness representations form the crux of the SRM as these representations are integrated into patients’ preexisting lay belief schemas and help them understand symptoms while moderating coping responses [46] and thus medication adherence [44].

A qualitative study involving semistructured interviews of 30 women with RA found that a positive patient-healthcare practitioner relationship was an important factor in the decision making process [30]. Potential and perceived adverse effects were powerful factors associated with nonadherence or discontinuation of medication [30]. These findings highlighted the importance of clear, helpful patient-practitioner communication and the need for healthcare practitioners to balance patient concerns about adverse effects with the likely benefits of treatment adherence.

Exploring medication adherence through the conceptual frameworks offered by the HBM and SRM suggests some practical strategies to improve medication adherence. Clinicians should address patient concerns about adverse effects by highlighting the positive outcomes associated with treatment [44]. The lack of association between factual knowledge and medication adherence highlights the need for more effective educational interventions [39]. The SRM suggests clinicians need to consider existing lay belief schemas used by patients to evaluate and cope with medical advice [46].

4. Assessment of Adherence

Medication adherence has been assessed by Electronic Medication Event Monitoring (EMEM) [49], pharmacy records [20, 50], self-report measures (e.g., the Compliance-Questionnaire-Rheumatology (CQR)) [49, 51], and more objective but invasive measures such as serum drug assays [28, 49]. Although susceptible to recall and social desirability biases, self-report measures represent the most pragmatic method for assessing medication adherence [35, 44]. Self-report measures such as the CQR provide clinicians with valuable information regarding how closely patients follow medication advice and their beliefs regarding the necessity of treatment [28, 35, 49]. The CQR is a 19-item rheumatology-specific questionnaire assessing medication adherence which also identifies factors associated with poor adherence [49, 51]. This tool demonstrated strong predictive validity when tested against EMEM [49]. A study of 126 RA patients which used the CQR to measure adherence and the BMQ to assess medication beliefs at initiation of MTX therapy found adherence rates during the first year of treatment could be explained by medication beliefs such as the perceived necessity of MTX [27]. Interestingly, supplying the treating clinician with information regarding medication adherence patterns does not influence patients’ medication beliefs, nor does it engender any changes in adherence [52].

5. Educational Interventions and Medication Adherence

There is broad consensus regarding the importance of educational interventions for patients suffering from chronic illness such as RA [22]. A cross-sectional study of 33 RA patients with disease duration less than one year and 69 with disease duration greater than 10 years found both groups desired more information about their condition [53]. Educational interventions have usually entailed provision of information to patients about the disease and possible treatments [3] on the premise that increased knowledge leads to positive attitudes and behaviours which may be associated with small reductions in pain and disability [54, 55]. Many clinicians therefore regard education as important for equipping patients with the tools and coping strategies to manage disease flares [3, 56]. However, the effectiveness of educational interventions at improving medication adherence is questionable [3, 22, 23, 48], with potentially few short-term benefits [24].

A randomised controlled trial of 100 patients with RA found that patient education was associated with increased medication adherence [28]. Participants with active RA were randomised to an experimental group which received seven 30-minute one-on-one sessions with a rheumatology nurse aimed at increasing self-efficacy or a control group which received standard treatment. At the end of six months those in the experimental group were more adherent to medication [28]. However, others have found that patients with recent onset active RA had high levels of medication adherence regardless of participation in an educational programme which involved group meetings with an instructor who addressed erroneous patient beliefs and provided information about RA medication, the importance of physical activity, and joint conservation [23]. This suggested that educational interventions may not be needed in patients with recent onset active RA.

Although not specifically dealing with RA patients, a randomised controlled trial involving a pharmacist-delivered telephone service to patients at home led to increased medication adherence, fewer reports of medication side effects, and more positive medication beliefs [57]. This intervention appeared to shift the patient cost-benefit analysis to favour treatment benefits, thereby increasing the proportion of adherent patients [57].

A recent study tested the effect of a motivational interviewing (MI) programme on medication adherence in RA patients using a group-based format [58]. In this study, 123 participants were randomised to either the control or intervention group; the latter received two pharmacist-delivered MI sessions. These sessions aimed to resolve barriers to adherence with a practical, problem solving approach. The trial did not demonstrate any significant change to patient beliefs or medication adherence, possibly due to a “Hawthorne effect” or suboptimal integrity of the intervention [58].

In a pilot study, patients were randomly allocated to either group-based counselling or individual counselling [59]. Adherence, as measured by pill counts, was higher in patients who were counselled in a group-based format (90%) compared to those counselled individually (69%). However, probably due to lack of power, there was no statistically significant difference between treatment groups.

A systematic review found that educational interventions in patients with RA appeared to have a positive impact upon short-term outcomes but long-term improvements in health status were not clearly evident [22]. A Cochrane review of 31 randomised controlled trials found that patient education was associated with short-term benefits on disability, patient global assessment, and psychological status [60]. However, no long-term benefits were identified. Although clinical trials have demonstrated that educational interventions enhanced patient knowledge and understanding of their disease, there is conflicting evidence regarding their effects on medication adherence [3, 61]. This suggests that education alone is insufficient to increase medication adherence as medication beliefs appear to be influenced by more than information [3, 35].

Existing educational interventions may be limited by an overemphasis on improving patient knowledge [48]. This creates a power imbalance in the therapeutic interaction as the rheumatologist assumes the patient has no prior knowledge of their disease and should fulfil a passive role in the exchange and that provision of information is sufficient. Such assumptions give little credence to lay beliefs. While often exhibiting internal consistency, lay beliefs are seldom congruent with biomedical concepts but can strongly influence patient response to advice and treatment proposed by their rheumatologist [48].

When interviewed before and after a consultation with their rheumatologist, patients with RA were more accepting of and more adherent to suggested treatment if the advice provided during the consultation aligned with their lay beliefs [48]. Likewise, those who received information during the consultation incongruent with their lay beliefs were more likely to reject the management offered [48]. These findings can be interpreted through the conceptual framework of the SRM, which highlights the importance of existing patient lay belief schemas [46]. It is important to recognise that patient and clinician disease perceptions may diverge. Patient views are influenced by subjective information such as pain levels, whereas clinicians’ views are usually informed by biomedical factors such as swollen and tender joint counts [62]. In light of such findings, an interactive educational process emphasising the active role of both clinician and patient might enable a more harmonious interweaving of biomedical information into preexisting lay belief systems [48].

6. Health Literacy and Medication Adherence

Health literacy refers to the ability to acquire, comprehend, and pursue health information to guide health-related decisions [55, 63, 64]. Individuals with limited health literacy have poorer health outcomes due to poor self-management, limited health responsibility, and underutilisation of healthcare resources [55]. Up to 42% of patients with chronic musculoskeletal disease may have low health literacy [65] while up to one-third of patients incorrectly followed dosing instructions for common rheumatology drugs [66]. A cross-sectional study of 110 patients with RA found that poor health literacy was associated with functional impairment as measured by the Multidimensional Health Assessment Questionnaire (MDHAQ) [67]. Analysis of data from 6052 patients with RA enrolled in a prospective observational study found that health literacy was found to predict functional status more robustly than corticosteroid and biologic use, smoking history, and education [68]. This suggests that some of the observed benefit on medication adherence following educational interventions may be due to a positive effect on patient health literacy and raises the possibility that better outcomes could be achieved by improving health literacy rather than semantic disease knowledge [67].

The multidimensional causal model of Paasche-Orlow and Wolf has been used to explain the link between low health literacy and poor patient outcomes [69]. This model attributed poor patient outcomes from low health literacy to the challenges posed by (i) communicating with clinicians, (ii) accessing and consuming health services, and (iii) effective self-care. Effective self-care requires patients to possess the knowledge and capacity to understand and implement their medication regime [69]. Low health literacy impairs patient ability to comprehend medication labels and instructions and to recall medication names [64, 69]. Accordingly, educational interventions should aim to increase self-care and patient awareness of available healthcare resources and minimise the communication barrier between patients and clinicians.

A practical suggestion is that clinicians should use visual tools such as videos and pictorial aids to assist in meaningful delivery of key health messages [64]. The beneficial effect of visual images within the consultation is further enhanced when combined with meaningful written or verbal information and has been shown to enhance patient comprehension and, ultimately, medication adherence [70]. This further highlights the need for clinician-patient collaboration within the consultation and a multimodal approach for communicating patient information.

7. The Use of Musculoskeletal Ultrasonography as an Educational Tool

Increasing evidence suggests that health interventions are more effective when they contain visual elements and simple, comprehensible information in an accessible format [64, 7174]. Incorporation of pictures into medication instructions improved patient understanding, recollection, and adherence to medication regimes [70]. A double blind randomised controlled trial of 111 patients with early inflammatory arthritis found that provision of visual feedback for patients in the form of charts depicting disease activity significantly increased patient adherence to DMARDs [75]. This was associated with less disease activity at 12 months. These findings suggest that incorporating visual feedback into clinical practice may have a positive effect on treatment adherence and, ultimately, disease management.

Musculoskeletal ultrasound (MSKUS) is increasingly used to assist in diagnosis and monitoring of inflammatory arthritis and to guide joint injection and aspiration [7679]. The presence of power Doppler signal (Figure 1) in patients whose RA appeared to be in clinical remission was helpful in predicting disease flare and radiographic outcome [80]. Auto-feedback from US assessment of joints in patients with RA quickly improved joint palpation skills [81]. A 12-week MSKUS course was useful in undergraduate teaching of joint anatomy and pathology [82]. Despite these benefits, MSKUS is underutilised in clinical practice and is routinely performed by less than 50% of rheumatologists in Europe [76]. Few rheumatologists in Australia routinely use MSKUS.

Musculoskeletal ultrasound may prove a valuable educational tool in clinical practice [83]. The treating clinician is able to enhance patient understanding “real-time” through demonstration of joint structures, articular and periarticular damage, and synovial inflammation. In particular, the ability to navigate around the site of interest and to show motion information may improve patient understanding more than provision of static images [84, 85]. Careful use of the device highlighting critical features for patients using their own anatomy is important in providing visual learning cues. This type of disease visualisation, when combined with clinician-patient interaction at close quarters, may improve adaptation to the diagnosis, thereby increasing medication adherence and disease self-control. A recent study involving patients with active RA (DAS28 score > 2.6) found that showing RA patients “real-time” US images of their clinically inflamed joints resulted in a more favourable cost-benefit analysis as measured by the BMQ, that is, increased patient belief in the necessity of medication versus concern about taking medication [86]. However, this finding needs to be confirmed by larger, longer-term studies.

8. Summary

The effectiveness of commonly used educational interventions targeting poor medication adherence is questionable. Educational interventions have generally focused on provision of information [48]. While these increase patient knowledge of the disease, they have not been reliably associated with increased medication adherence or improvement in long-term health status [24, 61]. There is a tension experienced by RA patients when assessing the necessity of medication against concern regarding adverse effects [36]. The goal of education should be to provide understandable information to patients to allow them to make informed healthcare decisions.

Educational interventions should incorporate more clinician-patient interaction [27]. Clinicians should deemphasise biomedical information and give more consideration to patient lay beliefs regarding clinical management without compromising use of evidence-based treatments that halt disease progression. This should allow clinicians to allay patient concerns while highlighting treatment benefits [35, 44]. Integrating MSKUS into an evidence-based educational framework may be beneficial because of its clinical value and as an educative tool to increase patient understanding of their disease [83, 86].

Musculoskeletal US may foster increased patient-clinician interaction and disease visualization, factors which have been lacking in traditional educational frameworks. Patients will also benefit from increased appreciation of joint structures and greater understanding of the long-term implications of joint damage and inflammation. These measures may address some of the limitations of previous interventions and hopefully result in increased patient medication adherence and better disease control.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.


  1. D. M. Lee and M. E. Weinblatt, “Rheumatoid arthritis,” The Lancet, vol. 358, no. 9285, pp. 903–911, 2001. View at: Publisher Site | Google Scholar
  2. D. L. Scott, F. Wolfe, and T. W. J. Huizinga, “Rheumatoid arthritis,” The Lancet, vol. 376, no. 9746, pp. 1094–1108, 2010. View at: Publisher Site | Google Scholar
  3. R. A. Elliott, “Poor adherence to medication in adults with rheumatoid arthritis: reasons and solutions,” Disease Management and Health Outcomes, vol. 16, no. 1, pp. 13–29, 2008. View at: Publisher Site | Google Scholar
  4. I. B. McInnes and G. Schett, “Cytokines in the pathogenesis of rheumatoid arthritis,” Nature Reviews Immunology, vol. 7, no. 6, pp. 429–442, 2007. View at: Publisher Site | Google Scholar
  5. K. S. Upchurch and J. Kay, “Evolution of treatment for rheumatoid arthritis,” Rheumatology, vol. 51, supplement 6, Article ID kes278, pp. vi28–vi36, 2012. View at: Publisher Site | Google Scholar
  6. C. Escalas, M. Dalichampt, B. Combe et al., “Effect of adherence to European treatment recommendations on early arthritis outcome: data from the ESPOIR cohort,” Annals of the Rheumatic Diseases, vol. 71, no. 11, pp. 1803–1808, 2012. View at: Publisher Site | Google Scholar
  7. B. Combe, R. Landewe, C. Lukas et al., “EULAR recommendations for the management of early arthritis: report of a task force of the European Standing Committee for International Clinical Studies Including Therapeutics (ESCISIT),” Annals of the Rheumatic Diseases, vol. 66, no. 1, pp. 34–45, 2007. View at: Publisher Site | Google Scholar
  8. Y. P. M. Goekoop-Ruiterman, J. K. de Vries-Bouwstra, C. F. Allaart et al., “Clinical and radiographic outcomes of four different treatment strategies in patients with early rheumatoid arthritis (the BeSt study): a randomized, controlled trial,” Arthritis & Rheumatism, vol. 52, no. 11, pp. 3381–3390, 2005. View at: Publisher Site | Google Scholar
  9. S. A. Saunders, H. A. Capell, A. Stirling et al., “Triple therapy in early active rheumatoid arthritis: a randomized, single-blind, controlled trial comparing step-up and parallel treatment strategies,” Arthritis and Rheumatism, vol. 58, no. 5, pp. 1310–1317, 2008. View at: Publisher Site | Google Scholar
  10. J. A. Singh, D. E. Furst, A. Bharat et al., “2012 update of the 2008 American College of Rheumatology recommendations for the use of disease-modifying antirheumatic drugs and biologic agents in the treatment of rheumatoid arthritis,” Arthritis Care & Research, vol. 64, no. 5, pp. 625–639, 2012. View at: Publisher Site | Google Scholar
  11. B. J. F. van den Bemt, H. E. Zwikker, and C. H. M. van den Ende, “Medication adherence in patients with rheumatoid arthritis: a critical appraisal of the existing literature,” Expert Review of Clinical Immunology, vol. 8, no. 4, pp. 337–351, 2012. View at: Publisher Site | Google Scholar
  12. B. J. F. van den Bemt and W. G. J. M. van Lankveld, “How can we improve adherence to therapy by patients with rheumatoid arthritis?” Nature Clinical Practice Rheumatology, vol. 3, no. 12, p. 681, 2007. View at: Publisher Site | Google Scholar
  13. B. J. F. van den Bemt, F. H. J. van den Hoogen, B. Benraad, Y. A. Hekster, P. L. C. M. van Riel, and W. van Lankveld, “Adherence rates and associations with nonadherence in patients with rheumatoid arthritis using disease modifying antirheumatic drugs,” Journal of Rheumatology, vol. 36, no. 10, pp. 2164–2170, 2009. View at: Publisher Site | Google Scholar
  14. K. P. Krueger, B. G. Felkey, and B. A. Berger, “Improving adherence and persistence: a review and assessment of interventions and description of steps toward a national adherence initiative,” Journal of the American Pharmacists Association, vol. 43, no. 6, pp. 668–679, 2003. View at: Publisher Site | Google Scholar
  15. E. Sabatâe and World Health Organization, Adherence to Long-Term Therapies: Evidence for Action, World Health Organization, Geneva, Switzerland, 2003.
  16. M. A. Blum, D. Koo, and J. A. Doshi, “Measurement and rates of persistence with and adherence to biologics for rheumatoid arthritis: a systematic review,” Clinical Therapeutics, vol. 33, no. 7, pp. 901–913, 2011. View at: Publisher Site | Google Scholar
  17. P. Butow and L. Sharpe, “The impact of communication on adherence in pain management,” Pain, vol. 154, Supplement 1, pp. S101–S107, 2013. View at: Publisher Site | Google Scholar
  18. B. Hovstadius and G. Petersson, “Non-adherence to drug therapy and drug acquisition costs in a national population—a patient-based register study,” BMC Health Services Research, vol. 11, no. 1, pp. 1–11, 2011. View at: Publisher Site | Google Scholar
  19. B. A. Fallis, I. A. Dhalla, J. Klemensberg, and C. M. Bell, “Primary medication non-adherence after discharge from a general internal medicine service,” PLoS ONE, vol. 8, no. 5, Article ID e61735, 2013. View at: Publisher Site | Google Scholar
  20. S. Curkendall, V. Patel, M. Gleeson, R. S. Campbell, M. Zagari, and R. Dubois, “Compliance with biologic therapies for rheumatoid arthritis: do patient out-of-pocket payments matter?” Arthritis Care and Research, vol. 59, no. 10, pp. 1519–1526, 2008. View at: Publisher Site | Google Scholar
  21. M. Ho, B. Lavery, and T. Pullar, “The risk of treatment. A study of rheumatoid arthritis patients' attitudes,” British Journal of Rheumatology, vol. 37, no. 4, pp. 459–460, 1998. View at: Publisher Site | Google Scholar
  22. K. Niedermann, J. Fransen, R. Knols, and D. Uebelhart, “Gap between short- and long-term effects of patient education in rheumatoid arthritis patients: a systematic review,” Arthritis Care & Research, vol. 51, no. 3, pp. 388–398, 2004. View at: Publisher Site | Google Scholar
  23. H. L. M. Brus, M. A. F. J. Van De Laar, E. Taal, J. J. Rasker, and O. Wiegman, “Effects of patient education on compliance with basic treatment regimens and health in recent onset active rheumatoid arthritis,” Annals of the Rheumatic Diseases, vol. 57, no. 3, pp. 146–151, 1998. View at: Publisher Site | Google Scholar
  24. R. P. Riemsma, E. Taal, J. R. Kirwan, and J. J. Rasker, “Patient education programmes for adults with rheumatoid arthritis: benefits are small and short lived,” British Medical Journal, vol. 325, no. 7364, pp. 558–559, 2002. View at: Publisher Site | Google Scholar
  25. E. Salt and S. K. Frazier, “Adherence to disease-modifying antirheumatic drugs in patients with rheumatoid arthritis: a narrative review of the literature,” Orthopaedic Nursing, vol. 29, no. 4, pp. 260–275, 2010. View at: Publisher Site | Google Scholar
  26. G. J. Treharne, A. C. Lyons, E. D. Hale, K. M. J. Douglas, and G. D. Kitas, “‘Compliance’ is futile but is ‘concordance’ between rheumatology patients and health professionals attainable?” Rheumatology, vol. 45, no. 1, pp. 1–5, 2006. View at: Publisher Site | Google Scholar
  27. A. de Thurah, M. Nørgaard, I. Harder, and K. Stengaard-Pedersen, “Compliance with methotrexate treatment in patients with rheumatoid arthritis: influence of patients' beliefs about the medicine. A prospective cohort study,” Rheumatology International, vol. 30, no. 11, pp. 1441–1448, 2010. View at: Publisher Site | Google Scholar
  28. J. Hill, H. Bird, and S. Johnson, “Effect of patient education on adherence to drug treatment for rheumatoid arthritis: a randomised controlled trial,” Annals of the Rheumatic Diseases, vol. 60, no. 9, pp. 869–875, 2001. View at: Google Scholar
  29. R. Müller, R. Kallikorm, K. Põlluste, and M. Lember, “Compliance with treatment of rheumatoid arthritis,” Rheumatology International, vol. 32, no. 10, pp. 3131–3135, 2012. View at: Publisher Site | Google Scholar
  30. E. Salt and A. Peden, “The complexity of the treatment: the decision-making process among women with rheumatoid arthritis,” Qualitative Health Research, vol. 21, no. 2, pp. 214–222, 2011. View at: Publisher Site | Google Scholar
  31. V. Pascual-Ramos, I. Contreras-Yáñez, A. R. Villa, J. Cabiedes, and M. Rull-Gabayet, “Medication persistence over 2 years of follow-up in a cohort of early rheumatoid arthritis patients: associated factors and relationship with disease activity and with disability,” Arthritis Research and Therapy, vol. 11, no. 1, article R26, 2009. View at: Publisher Site | Google Scholar
  32. R. Tuncay, E. Eksioglu, B. Cakir, E. Gurcay, and A. Cakci, “Factors affecting drug treatment compliance in patients with rheumatoid arthritis,” Rheumatology International, vol. 27, no. 8, pp. 743–746, 2007. View at: Publisher Site | Google Scholar
  33. M. Wong and D. Mulherin, “The influence of medication beliefs and other psychosocial factors on early discontinuation of disease-modifying anti-rheumatic drugs,” Musculoskeletal Care, vol. 5, no. 3, pp. 148–159, 2007. View at: Publisher Site | Google Scholar
  34. G. J. Treharne, A. C. Lyons, and G. D. Kitas, “Medication adherence in rheumatoid arthritis: effects of psychosocial factors,” Psychology, Health and Medicine, vol. 9, no. 3, pp. 337–349, 2004. View at: Publisher Site | Google Scholar
  35. R. Horne and J. Weinman, “Patients' beliefs about prescribed medicines and their role in adherence to treatment in chronic physical illness,” Journal of Psychosomatic Research, vol. 47, no. 6, pp. 555–567, 1999. View at: Publisher Site | Google Scholar
  36. R. Neame and A. Hammond, “Beliefs about medications: a questionnaire survey of people with rheumatoid arthritis,” Rheumatology, vol. 44, no. 6, pp. 762–767, 2005. View at: Publisher Site | Google Scholar
  37. K. Lorig, Patient Education: A Practical Approach, Sage, Thousand Oaks, Calif, USA, 2001.
  38. R. Horne, J. Weinman, and M. Hankins, “The beliefs about medicines questionnaire: the development and evaluation of a new method for assessing the cognitive representation of medication,” Psychology & Health, vol. 14, no. 1, pp. 1–24, 1999. View at: Publisher Site | Google Scholar
  39. D. Berry, A. Bradlow, and E. Bersellini, “Perceptions of the risks and benefits of medicines in patients with rheumatoid arthritis and other painful musculoskeletal conditions,” Rheumatology, vol. 43, no. 7, pp. 901–905, 2004. View at: Publisher Site | Google Scholar
  40. M. C. Jong, L. van de Vijver, M. Busch, J. Fritsma, and R. Seldenrijk, “Integration of complementary and alternative medicine in primary care: what do patients want?” Patient Education and Counseling, vol. 89, no. 3, pp. 417–422, 2012. View at: Publisher Site | Google Scholar
  41. G. J. Macfarlane, A. El-Metwally, V. de Silva, E. Ernst, G. L. Dowds, and R. J. Moots, “Evidence for the efficacy of complementary and alternative medicines in the management of rheumatoid arthritis: a systematic review,” Rheumatology, vol. 50, no. 9, Article ID ker119, pp. 1672–1683, 2011. View at: Publisher Site | Google Scholar
  42. I. H. Kerridge and J. R. McPhee, “Ethical and legal issues at the interface of complementary and conventional medicine,” Medical Journal of Australia, vol. 181, no. 3, pp. 164–166, 2004. View at: Google Scholar
  43. J. McPhee, “Perceptions of risk—a legal perspective,” Australian Prescriber, vol. 25, no. 5, pp. 114–115, 2002. View at: Google Scholar
  44. L. B. Nicklas, M. Dunbar, and M. Wild, “Adherence to pharmacological treatment of non-malignant chronic pain: the role of illness perceptions and medication beliefs,” Psychology and Health, vol. 25, no. 5, pp. 601–615, 2010. View at: Publisher Site | Google Scholar
  45. H. Leventhal, M. Diefenbach, and E. A. Leventhal, “Illness cognition: using common sense to understand treatment adherence and affect cognition interactions,” Cognitive Therapy and Research, vol. 16, no. 2, pp. 143–163, 1992. View at: Publisher Site | Google Scholar
  46. E. D. Hale, G. J. Treharne, and G. D. Kitas, “The Common-Sense Model of self-regulation of health and illness: how can we use it to understand and respond to our patients' needs?” Rheumatology, vol. 46, no. 6, pp. 904–906, 2007. View at: Publisher Site | Google Scholar
  47. D. Nerenz and H. Leventhal, Self-Regulation Theory in Chronic Illness, Academic Press, New York, NY, USA, 1983.
  48. J. L. Donovan, D. R. Blake, and W. G. Fleming, “The patient is not a blank sheet: lay beliefs and their relevance to patient education,” Rheumatology, vol. 28, no. 1, pp. 58–61, 1989. View at: Publisher Site | Google Scholar
  49. E. de Klerk, D. van der Heijde, R. Landewé, H. van der Tempel, and S. van der Linden, “The compliance-questionnaire-rheumatology compared with electronic medication event monitoring: a validation study,” The Journal of Rheumatology, vol. 30, no. 11, pp. 2469–2475, 2003. View at: Google Scholar
  50. S. de Achaval and M. E. Suarez-Almazor, “Improving treatment adherence in patients with rheumatologic disease,” The Journal of Musculoskeletal Medicine, vol. 27, no. 10, pp. 388–394, 2010. View at: Google Scholar
  51. E. de Klerk, D. van der Heijde, H. van der Tempel, and S. van der Linden, “Development of a questionnaire to investigate patient compliance with antirheumatic drug therapy,” The Journal of Rheumatology, vol. 26, no. 12, pp. 2635–2641, 1999. View at: Google Scholar
  52. B. J. F. van den Bemt, A. A. den Broeder, F. H. J. van den Hoogen et al., “Making the rheumatologist aware of patients' non-adherence does not improve medication adherence in patients with rheumatoid arthritis,” Scandinavian Journal of Rheumatology, vol. 40, no. 3, pp. 192–196, 2011. View at: Publisher Site | Google Scholar
  53. J. H. Barlow, L. A. Cullen, and I. F. Rowe, “Comparison of knowledge and psychological well-being between patients with a short disease duration (1 year) and patients with more established rheumatoid arthritis (10 years duration),” Patient Education and Counseling, vol. 38, no. 3, pp. 195–203, 1999. View at: Publisher Site | 1%20year)%20and%20patients%20with%20more%20established%20rheumatoid%20arthritis%20(10%20years%20duration)&author=J. H. Barlow&author=L. A. Cullen&author=&author=I. F. Rowe&publication_year=1999" target="_blank">Google Scholar
  54. A. Warsi, M. P. laValley, P. S. Wang, J. Avorn, and D. H. Solomon, “Arthritis self-management education programs: a meta-analysis of the effect on pain and disability,” Arthritis and Rheumatism, vol. 48, no. 8, pp. 2207–2213, 2003. View at: Publisher Site | Google Scholar
  55. R. J. Adams, “Improving health outcomes with better patient understanding and education,” Risk Management and Healthcare Policy, vol. 3, pp. 61–72, 2010. View at: Publisher Site | Google Scholar
  56. P. C. Hirano, D. D. Laurent, and K. Lorig, “Arthritis patient education studies, 1987–1991: a review of the literature,” Patient Education and Counseling, vol. 24, no. 1, pp. 9–54, 1994. View at: Publisher Site | Google Scholar
  57. S. Clifford, N. Barber, R. Elliott, E. Hartley, and R. Horne, “Patient-centred advice is effective in improving adherence to medicines,” Pharmacy World and Science, vol. 28, no. 3, pp. 165–170, 2006. View at: Publisher Site | Google Scholar
  58. H. E. Zwikker, C. H. van den Ende, W. G. van Lankveld et al., “Effectiveness of a group-based intervention to change medication beliefs and improve medication adherence in patients with rheumatoid arthritis: a randomized controlled trial,” Patient Education and Counseling, vol. 94, no. 3, pp. 356–361, 2014. View at: Publisher Site | Google Scholar
  59. D. Homer, P. Nightingale, and P. Jobanputra, “Providing patients with information about disease-modifying anti-rheumatic drugs: individually or in groups? A pilot randomized controlled trial comparing adherence and satisfaction,” Musculoskeletal Care, vol. 7, no. 2, pp. 78–92, 2009. View at: Publisher Site | Google Scholar
  60. R. P. Riemsma, J. R. Kirwan, E. Taal, and J. J. Rasker, “Patient education for adults with rheumatoid arthritis,” The Cochrane Database of Systematic Reviews, no. 2, Article ID CD003688, 2003. View at: Google Scholar
  61. F. J. Keefe and Y. van Horn, “Cognitive-behavioral treatment of rheumatoid arthritis pain: maintaining treatment gains,” Arthritis Care & Research, vol. 6, no. 4, pp. 213–222, 1993. View at: Publisher Site | Google Scholar
  62. P. Studenic, H. Radner, J. S. Smolen, and D. Aletaha, “Discrepancies between patients and physicians in their perceptions of rheumatoid arthritis disease activity,” Arthritis & Rheumatism, vol. 64, no. 9, pp. 2814–2823, 2012. View at: Publisher Site | Google Scholar
  63. D. Nutbeam, “The evolving concept of health literacy,” Social Science and Medicine, vol. 67, no. 12, pp. 2072–2078, 2008. View at: Publisher Site | Google Scholar
  64. N. J. Roberts, R. Ghiassi, and M. R. Partridge, “Health literacy in COPD,” International Journal of Chronic Obstructive Pulmonary Disease, vol. 3, no. 4, pp. 499–507, 2008. View at: Google Scholar
  65. Y. K. Loke, I. Hinz, X. Wang, G. Rowlands, D. Scott, and C. Salter, “Impact of health literacy in patients with chronic musculoskeletal disease-systematic review,” PLoS ONE, vol. 7, no. 7, Article ID e40210, 2012. View at: Publisher Site | Google Scholar
  66. P. K. K. Wong, L. Christie, H. Johnston et al., “How well do patients understand written instructions? Health literacy assessment in rural and urban rheumatology outpatients,” Medicine, vol. 93, no. 25, article e129, 2014. View at: Publisher Site | Google Scholar
  67. J. M. Hirsh, D. J. Boyle, D. H. Collier et al., “Limited health literacy is a common finding in a public health hospital's rheumatology clinic and is predictive of disease severity,” Journal of Clinical Rheumatology, vol. 17, no. 5, pp. 236–241, 2011. View at: Publisher Site | Google Scholar
  68. L. Caplan, F. Wolfe, K. Michaud, I. Quinzanos, and J. M. Hirsh, “Strong association of health literacy with functional status among rheumatoid arthritis patients: a cross-sectional study,” Arthritis Care & Research, vol. 66, no. 4, pp. 508–514, 2014. View at: Publisher Site | Google Scholar
  69. M. K. Paasche-Orlow and M. S. Wolf, “The causal pathways linking health literacy to health outcomes,” The American Journal of Health Behavior, vol. 31, supplement 1, pp. S19–S26, 2007. View at: Publisher Site | Google Scholar
  70. M. G. Katz, S. Kripalani, and B. D. Weiss, “Use of pictorial aids in medication instructions: a review of the literature,” American Journal of Health-System Pharmacy, vol. 63, no. 23, pp. 2391–2397, 2006. View at: Publisher Site | Google Scholar
  71. M. H. Eckman, R. Wise, A. C. Leonard et al., “Impact of health literacy on outcomes and effectiveness of an educational intervention in patients with chronic diseases,” Patient Education and Counseling, vol. 87, no. 2, pp. 143–151, 2012. View at: Publisher Site | Google Scholar
  72. S. Kripalani, R. Robertson, M. H. Love-Ghaffari et al., “Development of an illustrated medication schedule as a low-literacy patient education tool,” Patient Education and Counseling, vol. 66, no. 3, pp. 368–377, 2007. View at: Publisher Site | Google Scholar
  73. D. H. Frøisland, E. Årsand, and F. Skårderud, “Improving diabetes care for young people with type 1 diabetes through visual learning on mobile phones: mixed-methods study,” Journal of Medical Internet Research, vol. 14, no. 4, article e111, 2012. View at: Publisher Site | Google Scholar
  74. A. V. Mohan, M. B. Riley, D. R. Boyington, and S. Kripalani, “Illustrated medication instructions as a strategy to improve medication management among Latinos: a qualitative analysis,” Journal of Health Psychology, vol. 18, no. 2, pp. 187–197, 2013. View at: Publisher Site | Google Scholar
  75. Y. El Miedany, M. El Gaafary, and D. Palmer, “Assessment of the utility of visual feedback in the treatment of early rheumatoid arthritis patients: a pilot study,” Rheumatology International, vol. 32, no. 10, pp. 3061–3068, 2012. View at: Publisher Site | Google Scholar
  76. E. Naredo, M. A. D'Agostino, P. G. Conaghan et al., “Current state of musculoskeletal ultrasound training and implementation in Europe: results of a survey of experts and scientific societies,” Rheumatology, vol. 49, no. 12, pp. 2438–2443, 2010. View at: Publisher Site | Google Scholar
  77. A. Iagnocco, E. Filippucci, C. Perella et al., “Clinical and ultrasonographic monitoring of response to adalimumab treatment in rheumatoid arthritis,” The Journal of Rheumatology, vol. 35, no. 1, pp. 35–40, 2008. View at: Google Scholar
  78. A. K. Brown, “Using ultrasonography to facilitate best practice in diagnosis and management of RA,” Nature Reviews Rheumatology, vol. 5, no. 12, pp. 698–706, 2009. View at: Publisher Site | Google Scholar
  79. P. P. Cheung, A. Maxime Dougados, and L. Gossec, “Reliability of ultrasonography to detect synovitis in rheumatoid arthritis: a systematic literature review of 35 studies (1,415 patients),” Arthritis Care & Research, vol. 62, no. 3, pp. 323–334, 2010. View at: Publisher Site | Google Scholar
  80. E. Naredo, P. Collado, A. Cruz et al., “Longitudinal power Doppler ultrasonographic assessment of joint inflammatory activity in early rheumatoid arthritis: predictive value in disease activity and radiologic progression,” Arthritis Care and Research, vol. 57, no. 1, pp. 116–124, 2007. View at: Publisher Site | Google Scholar
  81. M. Ogasawara, G. Murayama, Y. Yamada et al., “Autofeedback from ultrasound images provides rapid improvement in palpation skills for identifying joint swelling in rheumatoid arthritis,” The Journal of Rheumatology, vol. 39, no. 6, pp. 1207–1214, 2012. View at: Publisher Site | Google Scholar
  82. S. A. Wright and A. L. Bell, “Enhancement of undergraduate rheumatology teaching through the use of musculoskeletal ultrasound,” Rheumatology, vol. 47, no. 10, pp. 1564–1566, 2008. View at: Publisher Site | Google Scholar
  83. F. Joshua, “Ultrasound applications for the practicing rheumatologist,” Best Practice and Research: Clinical Rheumatology, vol. 26, no. 6, pp. 853–867, 2012. View at: Publisher Site | Google Scholar
  84. A. L. Yuille and H. H. Bülthoff, “Action as an innate bias for visual learning,” Proceedings of the National Academy of Sciences of the United States of America, vol. 109, no. 44, pp. 17736–17737, 2012. View at: Publisher Site | Google Scholar
  85. A. de Angeli, L. Coventry, G. Johnson, and K. Renaud, “Is a picture really worth a thousand words? Exploring the feasibility of graphical authentication systems,” International Journal of Human Computer Studies, vol. 63, no. 1-2, pp. 128–152, 2005. View at: Publisher Site | Google Scholar
  86. S. K. Joplin, R. van der Zwan, H. Bagga, F. Joshua, and P. K. K. Wong, “Pilot study assessing the novel use of musculoskeletal ultrasound in patients with rheumatoid arthritis to improve patient attitudes and adherence to medication,” International Journal of Rheumatic Diseases, 2014. View at: Publisher Site | Google Scholar
  87. P. Quinlan, K. O. Price, S. K. Magid, S. Lyman, L. A. Mandl, and P. W. Stone, “The relationship among health literacy, health knowledge, and adherence to treatment in patients with rheumatoid arthritis,” HSS Journal, vol. 9, no. 1, pp. 42–49, 2013. View at: Publisher Site | Google Scholar

Copyright © 2015 Samantha Joplin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

6930 Views | 1485 Downloads | 33 Citations
 PDF  Download Citation  Citation
 Download other formatsMore
 Order printed copiesOrder