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Reumatologia logoLink to Reumatologia
. 2023 Oct 6;61(5):331–338. doi: 10.5114/reum/171625

The perspective of Polish patients with rheumatoid arthritis – treatment expectations, patient-reported outcomes, and digital literacy (the SENSE study)

Marcin Stajszczyk 1,✉, Grażyna Świerkowska 2, Katarzyna Smolik 3, Izabela Domysławska 4, Karol Charkiewicz 5, Włodzimierz Samborski 6
PMCID: PMC10634413  PMID: 37970121

Abstract

Introduction

A widely accepted treat-to-target strategy for rheumatoid arthritis (RA) requires the patient’s perspective in making treatment decisions. However, data on treatment preferences and expectations of Polish patients with RA are scarce. The aim of the study was to determine the satisfaction with treatment and the nature of therapeutic preferences and expectations of Polish patients with moderate to severe RA.

Material and methods

Fifty-two adult Polish patients with moderately to highly active RA were asked to complete patient-reported outcomes and patient-provided information questionnaires. Additionally, patient sociodemographic and clinical data and information on patient current and planned treatment strategies were collected.

Results

The mean global assessment of patient satisfaction with treatment was 64.1 ±24.6, below the level of indicating satisfaction. Rheumatoid arthritis negatively impacted patients’ lives, resulting in a 37.8% impairment of work efficiency and 45% impairment of total activity. Primary treatment expectations for patients were lasting relief of RA symptoms, reduced pain and swelling in joints, increased flexibility of joints, and general improvement of arthritis. The most acceptable potential side effect was weight gain and the least acceptable were increases in the risk of cardiovascular disease, infection, and malignancies. The rapid onset of the drug effect (up to 1 week) was a preference of 48.1% of patients. Access to internet health resources was important for 44.2% of patients, but the median total eHealth literacy score in the study population was 24.0 (interquartile range: 20.5–28.0, range 8–37), which means low digital health literacy (DHL).

Conclusions

Understanding these treatment preferences and expectations of patients with RA is essential for clinical practitioners to facilitate shared treatment decision-making. Digital health literacy data suggest the need of further improvement.

Keywords: rheumatoid arthritis, patient preference, patient-reported outcome, eHealth literacy

Introduction

The treat-to-target (T2T) strategy is effective in reducing disease activity and joint damage in patients with rheumatoid arthritis (RA) and is currently a widely accepted guiding principle in treating RA [1, 2].

In treat-to-target, clinicians treat patients aggressively enough to achieve and maintain the defined goals of remission or at least minimal disease activity. However, success in treating inflammation has not always been accompanied by improved patient well-being, according to patient-reported outcomes (PROs) [3].

The reason could be the discordance between the needs of patients with RA and current therapy goals pursued by healthcare providers [4–7]. Therefore, we need to better understand patients’ unmet needs, preferences, and expectations, which are not adequately captured in current clinical practice [6–9]. Moreover, the current instruments for measuring disease activity and patient functioning endorsed by the American College of Rheumatology (ACR) and European Alliance of Associations for Rheumatology (EULAR) provide a limited mode of interpretation [10].

Identifying patient perceptions can improve the shared decision-making process, treatment adherence, and patient satisfaction with management decisions [2, 11]. It is of particular importance to empower patients who do not achieve treatment goals or experience disease symptoms such as pain and fatigue despite ongoing treatment. This plan covers a significant population because the RA remission rate under the T2T strategy is low in the real world [12].

To understand patient views, tools such as PROs and patient-provided information (PPI) questionnaires are implemented. Patient-reported outcomes denote the impact of disease and therapy on a patient’s life without any amendment or interpretation of the patient’s response [13, 14]. Patient-reported outcomes are incorporated into composite indices, such as the Disease Activity Score with 28-joint count (DAS28), Clinical Disease Activity Index, or Simplified Disease Activity Index in the form of the Patient’s Global Assessment of Disease Activity (PtGA).

However, PGA covering global health and overall disease activity does not reflect many aspects important from the patient’s perspective, such as different outcomes, endpoints, other attributes, and the trade-offs that patients are willing to consider [15]. Data collected using PROs and PPI are recognized as valid scientific evidence supporting the development and authorization of medicinal products [15–18].

Patient education is an essential determinant of the patient’s contribution to treatment because failure to understand the treatment strategy halts practical cooperation between the physicians and shared therapeutic decision-makers [19].

Education via the Patient Support Program (PSP) may improve the patient’s knowledge about the disease and treatment and positively impact patient adherence to self-care [20, 21]. The usefulness of online health resources depends on the patient’s digital health literacy (DHL), which comprises the ability to find, understand, and use information from online resources to make health-related decisions [22].

The study aimed to examine the satisfaction with treatment and the nature of therapeutic preferences and expectations of Polish patients with moderate to severe RA. We also collected DHL data to gain insight into patients’ ability to use health information from internet resources.

Material and methods

Study population

This report contains an analysis of Polish patients taking part in an international research (SENSE) study, who met the 1987-revised ACR or the 2010 ACR/EULAR classification criteria for RA. Patients were recruited from September 14, 2018, to May 31, 2019, in five Polish medical centers. All patients were treated with disease-modifying anti-rheumatic drugs (DMARDs) at study entry and had suboptimal disease control according to the disease activity indicator DAS28.

During one routine visit, patients were asked to complete PRO and PPI questionnaires. Clinical data were collected from patient medical records. Additionally, patient sociodemographic data, information about their comorbidities, current and planned treatment strategies, and planned modalities of treatment modifications were collected.

Measures

Patient treatment satisfaction was assessed using the Treatment Satisfaction Questionnaire for Medication (TSQM v 1.4) [23]. This instrument contains 12 questions and provides a validated score for four subscales: effectiveness, side effects, convenience, and global satisfaction. A predefined cutoff of ≥ 80 (out of a possible 100) on the global satisfaction subscale was used to determine treatment satisfaction.

A Visual Analogue Scale (VAS) was used to self-assess patient adherence to treatment, with a value ≥ 80 as an indicator of adherence [24]. Self-assessment of the severity of morning stiffness and pain in the last 7 days preceding the study was performed using VAS scores ranging from 0 (no stiffness or pain) to 10 (the worst possible stiffness or pain) [24].

The impact of RA on patient quality of life was assessed using the following validated PROs: the Health Assessment Questionnaire-Disability Index (HAQ-DI) [25], Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) scale [26], 36-item Short Form Health Survey v 2.0 [27], Physical and Mental Component Summaries (PCS, MCS), and the Work Productivity and Activity Impairment (WPAI)-RA v 2.0 [28] questionnaire.

The eHealth Literacy Scale was used to measure a patient’s DHL. The final score is the sum of all items ranging from 8 to 40, with higher scores reflecting a higher level of eHealth literacy. An eHealth score of < 26 indicates low DHL [24, 29].

Information on patient treatment preferences, expectations, and needs for a PSP was collected using questionnaires developed by AbbVie as previously described after obtaining consent to use the questionnaire [24].

Statistical analysis

Descriptive statistics were used to describe treatment satisfaction, expectations, and patient preferences using the full analysis set (FAS), which included all patients who fulfilled all inclusion criteria. Patient data and all PROs were assessed by subgroups, which were stratified by treatment, disease activity, and presence of comorbidities. Detailed statistical methods are described for the SENSE study [24].

Ethical standards

The study was conducted following the Declaration of Helsinki. All patients provided written consent to participate in the study and authorization to use their health data. The Bioethics Committee at the Silesian Medical Chamber, 49a Grażynskiego St., Katowice was informed. As the study is non-interventional, additional consent from the Ethics Committee were not required.

The authors obtained consent from the sponsor of the international trial (SENSE) to distinguish and use data of Polish RA patients included in the overall study.

Results

Patient characteristics

The SENSE study involved 1,624 patients with RA. This report contains an analysis of 52 Polish patients aged ≥ 18 years. Patient socio-demographic and clinical characteristics and the detailed RA medication (DMARDs) are presented in Table I.

Table I.

Patient characteristics and medication for rheumatoid arthritis

Characteristic (N = 52)
Female [n (%)] 41 (78.8)
Age [years], mean (SD) 54.2 (13.4)
Time since RA [years], mean (SD) 10.5 (8.2)
Presence of structural damage of joints based on X-ray (based on X-ray data not older than 6 months) [n (%)]
 Present 24 (46.2)
 Absent 17 (32.7)
 Assessment NA 11 (21.2)
RF status (based on values not older than 3 months from enrolment) [n (%)]
 Positive 36 (69.2)
 Negative 4 (7.7)
 Assessment NA 12 (23.1)
Current CRP [mg/dl], median (IQR) 7.5 (2–14.9)
Current ESR [mm/h], median (IQR) 25 (18–38)
Comorbidities [n (%)]
 Total 26 (50)
 Cardiac disorder 21 (40.4)
Disease activity, mean (SD)
 TJC28 (0–28) 8.7 (3.5)
 SJC28 (0–28) 5.7 (3.1)
 PtGA (VAS, 0–10 cm) 5.6 (1.9)
 PhGA (VAS, 0–10 cm) 5.2 (2.0)
 DAS28–CRP 5.4 (0.9)
 DAS28–ESR 5.3 (0.9)
 CDAI (0–76) 25.1 (8.8)
 SDAI (0–86) 34.1 (13.6)
Number of currently taken DMARDs [%]
 1 51.9
 2 44.2
 3 3.8
csDMARD [n (%)] 50 (96.2)
bDMARD [n (%)] 21 (40.4)

bDMARD – biologic DMARD, CDAI – Clinical Disease Activity Index, CRP – C-reactive protein, csDMARD – conventional synthetic DMARD, DAS28–CRP – Disease Activity Score in 28 joints with C-reactive protein, DAS28–ESR – Disease Activity Score in 28 joints with erythrocyte sedimentation rate, DMARD – disease-modifying anti-rheumatic drug, IQR – interquartile range, NA – not applicable, PhGA – Physician Global Assessment, PtGA – Patient Global Assessment, RA – rheumatoid arthritis, RF – rheumatoid factor, SD – standard deviation, SDAI – Simple Disease Activity Index, SJC28 – swollen joint count in 28 joints, TJC28 – tender joint count in 28 joints, VAS – Visual Analogue Scale.

Patient rheumatoid arthritis treatment satisfaction

Patient global satisfaction with the treatment subscale score indicates general dissatisfaction (Table II). However, 25% of patients scored above 82.1 on a global satisfaction subscale, which indicates their satisfaction with treatment. Detailed results of TSQM are presented in Table II.

Table II.

Quality of life and work productivity indicators

Patient-reported outcome n Mean (SD)a
Patient global satisfaction with the treatment, median (IQR) 71.4 (50.0–82.1)
Worst joint pain (0–10) 52 5.6 (2.4)
Severity of morning stiffness (0–10) 52 4.8 (2.4)
Duration of morning stiffness, hours, median (range) 50 1.3 (0.1–6.5)
HAQ-DI score (0–3) 52 1.0 (0.8)
FACIT-F score (0–52) 52 28.1 (11.5)
SF-36 PCS (0–100) 52 37.0 (6.4)
SF-36 MCS (0–100) 52 43.8 (11.4)
WPAI-RA scores, %, median (range)
 Presenteeismb 16 30.0 (0.0–90.0)
 Absenteeismb 17 0.0 (0.0–100.0)
 Total work productivity impairment 16 37.8 (0.0–98.9)
 Total activity impairment score 52 45.0 (0.0–90.0)

FACIT-F – Functional Assessment of Chronic Illness Therapy-Fatigue, HAQ-DI – Health Assessment Questionnaire-Disability Index, IQR – interquartile range, MCS – Mental Component Summary, PCS – Physical Component Summary, SD – standard deviation, SF-36 – 36-item Short Form Health Survey, WPAI-RA – Work Productivity and Activity Impairment-Rheumatoid Arthritis,

a

Unless otherwise stated,

b

Employed patients only.

Impact of rheumatoid arthritis on patient quality of life

Rheumatoid arthritis negatively affects the physical health, mental well-being, and workability of patients (Table II). The median total work productivity impairment assessed in the employed patients (n = 16) was 37.8%. Additionally, the entire study group experienced a 45% impairment in total activity.

Patient digital literacy

The median total eHealth literacy score in the study population was 24.0 (interquartile range [IQR]: 20.5–28.0, range 8–37), which implies low DHL (Table III). Patient ability to access health resources on the internet and views on the usefulness of the internet in making health decisions are documented in Table III.

Table III.

Patient digital literacy

Total eHealth Literacy score, median (IQR) 24.0 (20.5–28.0)
n %
Importance to be able to access health resources on the internet question score
 Not important at all 3 5.8
 Not important 10 19.2
 Unsure 16 30.8
 Important 21 40.4
 Very important 2 3.8
Usefulness of internet in helping patients make decisions about their own health question score
 Not useful at all 5 9.6
 Not useful 7 13.5
 Unsure 23 44.2
 Useful 15 28.8
 Very useful 2 3.8

IQR – interquartile range.

Patient treatment preferences

A significant percentage of patients preferred subcutaneous (46.2%) and oral (40.4%) over intravenous (13.5%) drug administration (Table IV).

Table IV.

Patient treatment preferences

Variable n %
Preferred route of administration
 Parenteral: intravenous 7 13.5
 Parenteral: subcutaneous 24 46.2
 Oral 21 40.4
Preferred frequency for parenteral administration
 Biweekly 14 26.9
 Monthly 30 57.7
 3-monthly 3 5.8
 6-monthly 5 9.6
Preferred frequency for oral administration
 Twice daily 3 5.8
 Once daily 31 59.6
 Once weekly 18 34.6
Preferred time until the effect of onset
 Up to 1 week 25 48.1
 Up to 2 weeks 16 30.8
 Up to 1 month 8 15.4
 Up to 3 months 3 5.8
Preference of drug combinations used for RA patient
 Drug combination is not preferred 6 11.5
 Treatment with daily combination is acceptable 20 38.5
 Treatment with combination of another drug once weekly is acceptable 26 50.0
Most acceptable potential side effect of RA medication
 Higher risks of infections 0 0.0
 Allergic reaction 4 7.7
 Deterioration of laboratory values 4 7.7
 Increased risk of malignancies 1 1.9
 Weight gain 22 42.3
 Hair thinning or loss 4 7.7
 Skin symptoms 7 13.5
 Effect on fertility 10 19.2
 Higher risk of cardiovascular disease 0 0.0

RA – rheumatoid arthritis.

Regarding the frequency of dosing, most patients preferred monthly dosing for parenteral administration (57.7%) and once-daily dosing for oral administration (59.6%). The preferred time to the onset of drug effect was up to 1 week (48.1% of patients). Nearly half of the patients considered that treatment requiring a combination with another drug was acceptable once weekly. The most acceptable potential side effect was weight gain (42.3% of patients).

Patient need of support program

The most important aspect of a PSP for patients was access to educational materials about RA, RA treatment, and the PSP in general (Table V).

Table V.

Patient need of Patient Support Program

Requirement Mean SD Min Median Max
Educational materials about RA 4.9 1.8 1.0 5.0 7.0
Educational materials about RA therapy 4.8 2.0 1.0 5.0 7.0
PSP in general 4.3 1.9 1.0 4.0 7.0
Educational materials about handling RA 3.3 2.1 1.0 4.0 7.0
Information about handling RA 3.1 2.0 1.0 3.5 7.0
A call center/hotline 2.9 1.9 1.0 3.5 7.0
An information issue regarding PSP 2.9 2.1 1.0 2.0 7.0
An informative website for PSP 2.8 2.1 1.0 1.5 7.0
Mental or emotional support 2.7 2.2 1.0 1.0 7.0
E-mail assistance during PSP 2.6 2.0 1.0 1.0 7.0
A social media communication channel related to PSP 2.5 1.8 1.0 1.0 6.0
Nursing service 2.3 1.6 1.0 1.5 6.0
A smartphone application related to PSP 2.3 1.9 1.0 1.0 7.0
Digital lifestyle intervention 2.2 1.6 1.0 1.0 6.0
Medication administration reminders 2.1 1.8 1.0 1.0 7.0
Personalized care guidance 2.1 1.7 1.0 1.0 6.0
Doctor appointment reminders 2.0 1.9 1.0 1.0 7.0

Max – maximum, Min – minimum, PSP – Patient Support Program, RA – rheumatoid arthritis, SD – standard deviation.

The least important aspects for patients were the need to remind them about medical appointments and medication administration, support by a personal trainer, and digital lifestyle intervention.

Discussion

The results of our study indicate that moderately to highly active RA exerts a significant impact on patients’ lives. Study patients had high healthcare utilization reflected by frequent visits to professionals or hospitalization due to RA. They experienced significant work productivity impairment, and a high percentage of them (40.4%) retired early because of RA.

In addition, patient treatment satisfaction was low, which is consistent with the observations from numerous country-level and global studies which also show that patient treatment satisfaction is low, despite the widely accepted recommendations for implementing the T2T strategy, especially in poorly controlled RA [30, 31].

Patient treatment satisfaction has been found to be positively associated with biologic/targeted synthetic DMARD (b/tsDMARD) application and improved RA activity or physical function [31, 32].

In our study, only 40.4% of patients were treated with bDMARDs. Our patients did not receive tsDMARDs due to the lack of this treatment universal access within the study timeframe in Poland. It is worth mentioning that other factors not considered in this study, such as depression, could also have an impact on patient treatment satisfaction [33].

In line with the T2T approach, treatment plans should be adjusted if the treatment goals (i.e., remission or low disease activity) remain unachieved. Our study found that although patients had moderate or high disease activity, 51.9% of them were treated with DMARD monotherapy, mainly with conventional synthetic DMARDs (csDMARDs; 48.1%).

In addition, only 48.1% of patients were scheduled to switch to another DMARD (72% to bDMARD and 28% to csDMARD). These observations indicate a delay in making treatment modifications. A recent study found that sub-optimal treatment decisions may be common despite moderate to severe RA activity [34].

The lack of treatment intensification may be related to various factors, including the individual preferences of the patient or physician (e.g., comorbidities, clinical inertia), as well as the national healthcare organization and economic regulations [35, 36].

Our analyses have shown that patient treatment preferences were subcutaneous and oral over intravenous drug administration, monthly administration in the case of the parenteral route, or a daily single oral administration. The percentage of patients with RA who preferred oral administration of the drug was lower (40.4%) than those in other national (56.4%) [14], (64%) [36] or international (60.7%) [24] studies.

However, this result should be considered in the context of the lack of opportunity to benefit from the effects of oral Janus kinase inhibitors, which could have impacted the therapeutic preferences of study patients.

It was reported that concerns about adverse effects may influence patient treatment decisions [37]. Therefore, we asked our patients about the most and least acceptable side effects of RA therapy. We found that the most accepted side effect for patients was weight gain, and the least accepted side effects were increases in the risk of cardiovascular disease, infection, and malignancies. Our patient preference profile for RA treatment-related adverse events is consistent with previously published observations [37].

The patients wish to access educational materials on RA, RA treatment, and the patient support program, but without the need of a personal coach or digital lifestyle interventions – contradictory to the notion of digitization advancement in rheumatology [38].

A significant proportion of patients were unsure of the usefulness and importance of online health resources or were undecided in evaluating the aspects of their DHL (> 70% of patients showed low DHL), which is consistent with a previous report that showed that many patients with RA have insufficient skills to use internet health resources effectively [22].

The presence of elderly patients in our study might have influenced the level of digital literacy calculated for the entire cohort, as a negative correlation between DHL and the age of the respondents [39].

Study limitations

The limitations of our study should be acknowledged. Patient-reported outcome questionnaires may be prone to assessment bias. The patient-provided information evaluation did not assess the degree of patient preferences. Additionally, because we selected patients on the basis of their willingness to participate in the study, this study group may have had a more cooperative approach in contact with the physician compared to the general population of patients with RA.

However, although the study cohort was small, this investigation was part of an extensive international project (SENSE study), which involved 1,624 patients.

Conclusions

We provided data on preferences, expectations, and treatment satisfaction, along with broad socio-demographic and clinical characteristics of Polish patients with moderate or severe RA.

The results of this research were consistent with the study of a larger group of patients enrolled in the international SENSE trial, which included patients from different geographic conditions.

The results of this study should be of particular importance in clinical practice because they may influence treatment decisions and help adjust therapy in patients with sub-optimal control of RA. Consequently, it may improve the working life of patients and limit the utilization of healthcare resources. The study also provided unique DHL data of Polish patients with RA and advocated a necessary improvement.

Acknowledgments

AbbVie and the authors thank all study investigators for their contributions and the patients who participated in the study. Medical writing assistance was provided by Ewa Marczuk of Medical Proper Writing Agency and was funded by AbbVie.

Type of conflict of interest:

Marcin Stajszczyk received consultation and/or speaking fees from Abbvie, Astra Zeneca, Boeringer Ingelheim, Celgene, Eli Lilly, Janssen, Merc Sharp & Dohme, Novartis, Pfizer, Sandoz, Swedish Orphan Biovitrum, UCB.

Grażyna Świerkowska received speaking fees from Roche.

Katarzyna Smolik received speaking fees from Roche.

Izabela Domysławska declares no conflict of interests.

Karol Charkiewicz is an employee of AbbVie and may own stock or options in AbbVie.

Włodzimierz Samborski received consultation and/or speaking fees from Abbvie, Astra Zeneca, Boeringer Ingelheim, Eli Lilly, Janssen, Merk Sharp & Dohme, Novartis, Pfizer, Sandoz, Swedish Orphan Biovitrum, UCB.

Funding

The study was funded by AbbVie.

All authors including representative of medical department of AbbVie participated in the study design, research, analysis, data collection, interpretation of data, review and according with all authors gave final approval for the publication.

References

  • 1.Singh JA, Saag KG, Bridges SL, et al. 2015. American College of Rheumatology guideline for the treatment of rheumatoid arthritis. Arthritis Rheumatol 2016; 68: 1–26, DOI: 10.1002/art.39480. [DOI] [PubMed] [Google Scholar]
  • 2.Smolen JS, Landewé R, Bijlsma J, et al. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2016 update. Ann Rheum Dis 2017; 76: 960–977, DOI: 10.1136/annrheumdis-2016-210715. [DOI] [PubMed] [Google Scholar]
  • 3.Nieuwenhuis WP, de Wit MPT, Boonen A, van der Helm-van Mil AHM. Changes in the clinical presentation of patients with rheumatoid arthritis from the early 1990s to the year 2010: earlier identification but more severe patient reported outcomes. Ann Rheum Dis 2016; 75: 2054–2056, DOI: 10.1136/annrheumdis-2016-209949. [DOI] [PubMed] [Google Scholar]
  • 4.Khan NA, Spencer HJ, Abda E, et al. Determinants of discordance in patients’ and physicians’ rating of rheumatoid arthritis disease activity. Arthritis Care Res (Hoboken) 2012; 64: 206–214, DOI: 10.1002/acr.20685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wen H, Schumacher RH, Li X, et al. Comparison of expectations of physicians and patients with rheumatoid arthritis for rheumatology clinic visits: a pilot, multicenter, international study. Int J Rheum Dis 2012; 15: 380–389, DOI: 10.1111/j.1756-185X.2012.01752.x. [DOI] [PubMed] [Google Scholar]
  • 6.Taylor PC, Moore A, Vasilescu R, et al. A structured literature review of the burden of illness and unmet needs in patients with rheumatoid arthritis: a current perspective. Rheumatol Int 2016; 36: 685–695, DOI: 10.1007/s00296-015-3415-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Van Tuyl LH, Sadlonova M, Hewlett S, et al. The patient perspective on absence of disease activity in rheumatoid arthritis: a survey to identify key domains of patient-perceived remission. Ann Rheum Dis 2017; 76: 855–861, DOI: 10.1136/annrheumdis-2016-209835. [DOI] [PubMed] [Google Scholar]
  • 8.Gossec L, Dougados M, Dixon W. Patient-reported outcomes as end points in clinical trials in rheumatoid arthritis. RMD Open 2015; 1: e000019, DOI: 10.1136/rmdopen-2014-000019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Rendas-Baum R, Bayliss M, Kosinski M, et al. Measuring the effect of therapy in rheumatoid arthritis clinical trials from the patient’s perspective. Curr Med Res Opin 2014; 30: 1391–1403, DOI: 10.1185/03007995.2014.896328. [DOI] [PubMed] [Google Scholar]
  • 10.Nikiphorou E, Radner H, Chatzidionysiou K, et al. Patient global assessment in measuring disease activity in rheumatoid arthritis: a review of the literature. Arthritis Res Ther 2016; 18: 251, DOI: 10.1186/s13075-016-1151-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Barton JL, Trupin L, Tonner C, et al. English language proficiency, health literacy, and trust in physician are associated with shared decision making in rheumatoid arthritis. J Rheumatol 2014; 41: 1290–1297, DOI: 10.3899/jrheum.131350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Yu C, Jin S, Wang Y, et al. Remission rate and predictors of remission in patients with rheumatoid arthritis under treat-to-target strategy in real-world studies: a systematic review and meta-analysis. Clin Rheumatol 2019; 38: 727–738, DOI: 10.1007/s10067-018-4340-7. [DOI] [PubMed] [Google Scholar]
  • 13.Fautrel B, Alten R, Kirkham B, et al. Call for action: how to improve use of patient-reported outcomes to guide clinical decision making in rheumatoid arthritis. Rheumatol Int 2018; 38: 935–947, DOI: 10.1007/s00296-018-4005-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Louder AM, Singh A, Saverno K, et al. Patient preferences regarding rheumatoid arthritis therapies: a conjoint analysis. Am Health Drug Benefits 2016; 9: 84–93. [PMC free article] [PubMed] [Google Scholar]
  • 15.Food and Drug Administration (2016) Guidance for Industry, Food and Drug Administration Staff, and Other Stakeholders. Patient Preference Information – Voluntary Submission, Review in Premarket Approval Applications, Humanitarian Device Exemption Applications, and De Novo Requests, and Inclusion in Decision Summaries and Device Labeling. Available at: https://www.fda.gov/media/92593/download [Access 03.02.2021].
  • 16.European Medicines Agency (2015) Draft guideline on clinical investigation of medicinal products other than NSAIDs for treatment of rheumatoid arthritis. Available at: http://www.ema.europa.eu/docs/en_GB/document_library/Scientific_guideline/2015/06/WC500187583.pdf [Access 03.02.2021].
  • 17.Food and Drug Administration (2009) Guidance for industry. Patient-reported outcome measures: use in medical product development to support labelling claims. Available at: http://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM193282.pdf [Access 03.02.2021]. [DOI] [PMC free article] [PubMed]
  • 18.European Medicines Agency (2013) The patient’s voice in the evaluation of medicines. Stakeholders and Communication Division. Report No: 607864. Available at: https://www.ema.europa.eu/en/documents/report/report-workshop-patients-voice-evaluation-medicines_en.pdf [Access 04.02.2021].
  • 19.Kaneko Y, Koike T, Oda H, et al. Obstacles to the implementation of the treat-to-target strategy for rheumatoid arthritis in clinical practice in Japan. Mod Rheumatol 2015; 25: 43–49, DOI: 10.3109/14397595.2014.926607. [DOI] [PubMed] [Google Scholar]
  • 20.Marengo MF, Suarez-Almazor ME. Improving treatment adherence in patients with rheumatoid arthritis: what are the options? Int J Clin Rheumatol 2015; 10: 345–356, DOI: 10.2217/ijr.15.39. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Van den Bosch F, Ostor AJK, Wassenberg S, et al. Impact of participation in the adalimumab (humira) patient support program on rheumatoid arthritis treatment course: results from the PASSION study. Rheumatol Ther 2017; 4: 85–96, DOI: 10.1007/s40744-017-0061-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.van der Vaart R, Drossaert CHC, de Heus M, et al. Measuring actual eHealth literacy among patients with rheumatic diseases: a qualitative analysis of problems encountered using Health 1.0 and Health 2.0 applications. J Med Internet Res 2013; 15: e27, DOI: 10.2196/jmir.2428. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Radawski C, Genovese MC, Hauber B, et al. Patient perceptions of unmet medical need in rheumatoid arthritis: a cross-sectional survey in the USA. Rheumatol Ther 2019; 6: 461–471, DOI: 10.1007/s40744-019-00168-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Taylor PC, Ancuta, C, Nagy O, et al. Treatment satisfaction, patient preferences, and the impact of suboptimal disease control in a large international rheumatoid arthritis cohort: SENSE study. Patient Prefer Adherence 2021; 15: 359–373, DOI: 10.2147/PPA.S289692. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Fries JF, Spitz P, Kraines RG, Holman HR. Measurement of patient outcome in arthritis. Arthritis Rheum 1980; 23: 137–145, DOI: 10.1002/art.1780230202. [DOI] [PubMed] [Google Scholar]
  • 26.Cella D, Yount S, Sorensen M, et al. Validation of the Functional Assessment of Chronic Illness Therapy Fatigue Scale relative to other instrumentation in patients with rheumatoid arthritis. J Rheumatol 2005; 32: 811–819. [PubMed] [Google Scholar]
  • 27.Ware JE, Jr, Sherbourne CD. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 1992; 30: 473–483. [PubMed] [Google Scholar]
  • 28.Zhang W, Bansback N, Boonen A, et al. Validity of the work productivity and activity impairment questionnaire-general health version in patients with rheumatoid arthritis. Arthritis Res Ther 2010; 12: R177, DOI: 10.1186/ar3141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Norman CD, Skinner HA. eHEALS: The eHealth Literacy Scale. J Med Internet Res 2006; 8: e27, DOI: 10.2196/jmir.8.4.e27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Taylor PC, Alten R, Gomez-Reino JJ, et al. Clinical characteristics and patient-reported outcomes in patients with inadequately controlled rheumatoid arthritis despite ongoing treatment. RMD Open 2018; 4: e000615, DOI: 10.1136/rmdopen-2017-000615. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Smolen JS, Gladman D, McNeil HP, et al. Predicting adherence to therapy in rheumatoid arthritis, psoriatic arthritis or ankylosing spondylitis: a large cross-sectional study. RMD Open 2019; 5: e000585, DOI: 10.1136/rmdopen-2017-000585. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Pappas DA, Gerber RA, Litman HJ, et al. Delayed treatment acceleration in patients with rheumatoid arthritis who have inadequate response to initial tumor necrosis factor inhibitors: Data from the Corrona Registry. Am Health Drug Benefits 2018; 11: 148–158. [PMC free article] [PubMed] [Google Scholar]
  • 33.Mahlich J, Schaede U, Sruamsiri R. Shared decision-making and patient satisfaction in Japanese rheumatoid arthritis patients: a new “Preference Fit” framework for treatment assessment. Rheumatol Ther 2019; 6: 269–283, DOI: 10.1007/s40744-019-0156-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Harrold LR, Reed GW, John A, et al. Cluster-randomized trial of a behavioral intervention to incorporate a treat-to-target approach to care of US patients with rheumatoid arthritis. Arthritis Care Res (Hoboken) 2018; 70: 379–387, DOI: 10.1002/acr.23294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Hifinger M, Hiligsmann M, Ramiro S, et al. Patients’ preferences and economic considerations play an important role in treatment decisions: a discrete choice experiment among rheumatologists. Rheumatology (Oxford) 2017; 56: 68–76, DOI: 10.1093/rheumatology/kew328. [DOI] [PubMed] [Google Scholar]
  • 36.Fayad F, Ziade NR, Merheb G, et al. Patient preferences for rheumatoid arthritis treatments: results from the national cross-sectional LERACS study. Patient Prefer Adherence 2018; 31: 1619–1625, DOI: 10.2147/PPA.S168738. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Fraenkel L, Bogardus S, Concato J, Felson D. Unwillingness of rheumatoid arthritis patients to risk adverse effects. Rheumatology (Oxford) 2002; 41: 253–261, DOI: 10.1093/rheumatology/41.3.253. [DOI] [PubMed] [Google Scholar]
  • 38.Dixon WG, Michaud K. Using technology to support clinical care and research in rheumatoid arthritis. Curr Opin Rheumatol 2018; 30: 276–281, DOI: 10.1097/BOR.0000000000000485. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.van der Vaart R, Drossaert CHC. Development of the digital health literacy instrument: measuring a broad spectrum of Health 1.0 and Health 2.0 skills. J Med Internet Res 2017; 19: e27, DOI: 10.2196/jmir.6709. [DOI] [PMC free article] [PubMed] [Google Scholar]

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