Skip to main content
Rheumatology and Therapy logoLink to Rheumatology and Therapy
. 2021 Jun 5;8(3):1095–1111. doi: 10.1007/s40744-021-00325-9

Patient Preference for Treatment Mode of Biologics in Rheumatoid Arthritis: A 2020 Web-based Survey in Japan

Mitsumasa Kishimoto 1,, Fumiko Yamairi 2, Noriko Sato 2, Jun Kobayashi 3, Saori Yamauchi 4, Tomohisa Iwasaki 5
PMCID: PMC8178669  PMID: 34089509

Abstract

Introduction

Although the proportion of patients with rheumatoid arthritis (RA) using biologic disease-modifying antirheumatic drugs (bDMARDs) has increased steadily, the relationship between patient background and preference for bDMARDs has not been fully investigated.

Methods

We conducted a web-based questionnaire survey among patients aged ≥ 20 years with RA receiving bDMARDs. Participants were recruited through an internet research company in Japan. Study endpoints included factors affecting the preferred bDMARD treatment mode, namely, in-hospital intravenous infusion (infusion), in-hospital subcutaneous injection (in-hospital injection), or self-administered subcutaneous injection (self-injection), and discrepancies between the current and preferred treatment mode.

Results

Of the 400 patients surveyed for preferred treatment mode, 15.3% preferred infusion, 18.0% preferred in-hospital injection, and 66.8% preferred self-injection. A preference for infusion (odds ratio [OR] 2.218 and 6.165) and in-hospital injection (OR 4.735 and 6.026) versus self-injection was significantly associated with higher current frequency of hospital visits and anxiety or other hurdles related to self-injection. A flexible administration setting was significantly associated with a preference for self-injection versus infusion (OR 0.401) and versus in-hospital injection (OR 0.445). Further, age (< 40 vs. ≥ 60 years) was significantly associated with a preference for self-injection versus in-hospital injection (OR 0.120). Many patients reported no discrepancy between their current and preferred treatment mode (patients receiving infusion, 68.0%; in-hospital injection, 71.2%; and self-injection, 94.0%). However, > 90% of patients responded that they would change their current mode in the future following a recommendation by a medical professional, aging, or a change in RA symptoms.

Conclusions

This web-based survey showed that patient preference for bDMARD treatment mode was significantly associated with age, frequency of hospital visits, flexible administration setting, and anxiety or other hurdles to self-injection. Changes in patient background which affect the preferred treatment mode should be considered in decision-making for RA therapy with bDMARDs.

Trial registration

R000048089 (UMIN-CTR)

Supplementary Information

The online version contains supplementary material available at 10.1007/s40744-021-00325-9.

Keywords: bDMARD, Biologics, COVID-19, Patient preferences, Rheumatoid arthritis, Self-administered, Treatment mode, Web-based survey

Key Summary Points

Why carry out this study?
Increased use of biologic disease-modifying antirheumatic drugs (bDMARDs) and wider bDMARD options for the treatment of rheumatoid arthritis (RA) may allow physicians to select or switch bDMARDs to better fit patient needs and preferences.
Patient preferences for treatment mode of bDMARDs in RA have not been fully investigated.
Identifying patient preferences regarding the treatment mode of bDMARDs and the triggers influencing patient preference to change between bDMARD options will help tailor selection of the optimal treatment for each patient.
What was learned from the study?
Age, frequency of hospital visits, flexible administration setting, and anxiety or other hurdles related to self-administered subcutaneous (SC) injection affected the treatment mode choice.
Although many patients did not report a discrepancy between their current and preferred treatment mode, approximately 30% of patients currently receiving in-hospital intravenous infusion or in-hospital SC injection and 6.0% currently receiving self-administered SC injection reported a discrepancy between their current and preferred treatment mode.
More than 90% of patients expressed a willingness to change treatment mode if recommended to do so by a medical professional, or if it became necessary due to aging or changes in their RA symptoms.

Digital Features

This article is published with digital features, including a summary slide, to facilitate understanding of the article. To view digital features for this article go to https://doi.org/10.6084/m9.figshare.14618883.

Introduction

Rheumatoid arthritis (RA) is an inflammatory autoimmune disease characterized by chronic articular synovitis [1]. Disease-modifying antirheumatic drugs (DMARDs) are the mainstay of therapy, with the recommended treatment goal of sustained remission or low disease activity [2]. Several classes of DMARDs are available, including conventional synthetic DMARDs (e.g., methotrexate), biologic DMARDs (bDMARDs; i.e., tumor necrosis factor inhibitors [TNFis], interleukin-6 receptor inhibitors, and a T-cell costimulation modulator), and targeted synthetic DMARDs (e.g., Janus kinase inhibitors). An anti-RANKL antibody is also used to treat RA in Japan [3].

Treatment decisions should be taken in consideration of both patient- and therapy-related factors. These include disease activity, comorbidities, degree of joint structural damage, and safety issues [2]. Shared decision-making (SDM) should also include consideration of patient preferences and values regarding drug administration route, or in other words, the treatment mode [4].

The proportion of patients with RA using bDMARDs has increased steadily, even after the availability of Janus kinase inhibitors [5]. Several administration route options for bDMARDs are also now available [6]. However, although several studies have clearly shown a preference for oral administration (e.g., targeted synthetic DMARDs) among patients with RA [710], no comprehensive investigation of patient preferences for treatment mode with bDMARDs has yet appeared. A 2008 study of patient preferences for three TNFis among bDMARD-naïve patients reported a preference toward in-hospital bDMARD use among elderly patients and a preference for self-administration among non-elderly patients [11]. Nolla et al. reported a preference in patients for self-administration among nine bDMARDs, but did not report factors related to preference [12]. We speculated that a better understanding of patient preferences for the treatment mode of bDMARDs, including those at the start of administration and those triggering a subsequent change in preference, would facilitate treatment selection and likely lead to improvements in patient satisfaction.

Here, we report the results of a web-based questionnaire survey conducted in patients with RA to investigate the relationship between patient characteristics and preferences for bDMARD treatment mode, namely in-hospital intravenous (IV) infusion, in-hospital subcutaneous (SC) injection, and self-administered SC injection.

Methods

Study Design and Patients

The study was conducted as a web-based questionnaire survey of patients with RA receiving bDMARDs in Japan. Participants were recruited from among registrants of an internet research company (Rakuten Research Inc., Tokyo, Japan) who consented to participate in the survey. Enrolled patients were aged ≥ 20 years, had a diagnosis of RA under either inpatient or outpatient management, attended regular hospital visits for RA management (at least once every 3 months), and were using bDMARDs for the treatment of RA. Patients were excluded if consent was withdrawn after agreeing to participate or if they were considered to be inappropriate as survey participants by the investigator.

The study was conducted in compliance with the Declaration of Helsinki of the World Medical Association (revised October 2013) and the Ethical Guidelines for Medical and Health Research Involving Human Subjects (partially revised 28 February 2017). Approval for the study was obtained from the Clinical Research Review Board of Takahashi Clinic on 20 October 2020. This study was registered in the UMIN clinical trial registry (registration number: R000048089).

Survey Administration

Following email notification and confirmation of consent, a questionnaire survey was administered via the survey website from 23 October to 2 November 2020. Responses were scrutinized for data entry discrepancies, including the exclusion of multiple survey responses by the same person.

Survey Items

Survey items included basic personal and demographic information, including sex, age, family composition, and employment status; disease characteristics, including disease duration; functional disability, as assessed by the Japanese version of the Stanford Health Assessment Questionnaire (J-HAQ); impact on work productivity, as assessed using a modified version of question 5 of the Work Productivity and Activity Impairment Questionnaire: General Health version 2.0 (WPAI-GH) [13, 14]; and the presence or absence of comorbidities. In particular, the presence of physical dysfunction was determined by a J-HAQ score of ≥ 0.5 and functional remission was determined by a score of < 0.5 [15]. To measure impact on work productivity, the term “work” was expanded to “work and household chores”; in this context, we used question 5 (impact on productivity during work or performing household chores) of the WPAI-GH and graded the answer using a Likert scale of 0–10 points, in which 0 indicated the lowest degree.

Additional survey items included information on the type of institution providing the patient’s outpatient care (hospital or clinic), time required for outpatient visits, current frequency of outpatient visits, and means of transportation to the institution; currently used bDMARD, duration of its use, and use of other non-biologic drugs for RA (with/without); decision-making for the currently used drug (whether decision-making took into account the patient’s preference); monthly cost of RA treatment; current treatment mode for bDMARD and preferred mode; and the patient’s thoughts on their RA treatment (using a 5-point scale) (see Electronic Supplementary Material [ESM] Table S1). For patients whose current bDMARD treatment mode was also their preferred mode, the reason they did not wish to change was also recorded. Patients whose current mode differed from their preferred modes were asked why they were unable to receive their preferred mode. All patients were asked whether they foresaw an opportunity for their treatment mode to be changed in the future. Additionally, we evaluated the effect of the 2019 novel coronavirus disease (COVID-19) on the frequency of hospital visits and changes in treatment mode.

The primary endpoint was factors affecting selection of the patient’s preferred bDMARD treatment mode. Secondary endpoints were the presence/absence of a difference between the patient’s current and preferred bDMARD treatment mode (and reasons for this), and the patient’s willingness to change the treatment mode in the future.

Statistical Analysis

The target sample size was calculated to allow interval estimation with constant accuracy (assuming a population size of approximately 130,000 bDMARD-treated RA patients and an expected response rate of 50%). A sample size of 384 was calculated to achieve an interval estimate width of ± 5%, and the target study sample size was set at 400 to ensure 384 cases.

Analyses included simple tabulation/cross-tabulation, comparison of patient background by preferred treatment mode, and multinomial logistic regression analysis to explore factors relevant to preferred treatment mode. Statistical tests were two-sided with a significance level of 5%. Two-sided confidence intervals (CIs) were determined with a confidence level of 95%.

For all questions, categorical variables were calculated as frequencies, and continuous variables as descriptive (mean, standard deviation [SD]) and/or converted to categorical variables and presented as a frequency where appropriate. Patients’ thoughts on their treatment were summarized using factor analysis and collected as latent variables (factors). Exploratory factor analysis was performed using maximum likelihood estimation with promax rotation, and the factor scores of each respondent were calculated for each factor. To explore questionnaire items and factors affecting the preferred treatment mode (stratified by preferred treatment mode), p values were calculated using the chi-square (χ2) test for categorical variables and analysis of variance in treatment mode for continuous variables. Multinomial logistic regression analysis was performed using age, sex, and J-HAQ scores, as well as questionnaire items and factor scores with p < 0.20 in the tests above as independent variables. Variables were selected by backward stepwise selection, with the significance level for input and elimination from the model set at 5%. Age, sex, and J-HAQ scores were excluded from variable selection and were included in the final model. Data were analyzed with IBM SPSS Statistics version 26 (IBM Corp., Armonk, NY, USA).

Results

Patient Characteristics

In total, 400 RA patients who met the inclusion criteria were included in the analysis. Of these 400 patients overall, 69.5% were female, the mean age was 55.7 years, and mean disease duration was 14.1 years (Table 1). The mean J-HAQ score was 0.7, and approximately 50% of patients had reached functional remission.

Table 1.

Patient characteristics

Characteristic Values (N = 400 patients)
Sex, n (%)
 Male 122 (30.5)
 Female 278 (69.5)
Age, years, mean ± SD 55.7 ± 12.7
Age group, years, n (%)
 20–29 9 (2.3)
 30–39 38 (9.5)
 40–49 81 (20.3)
 50–59 96 (24.0)
 60–69 120 (30.0)
 ≥ 70 56 (14.0)
Duration of RAa, years, mean ± SD 14.1 ± 9.8
J-HAQ score, mean ± SD 0.7 ± 0.8
J-HAQ score, n (%)
 < 0.5 201 (50.3)
 0.5 to < 1.0 79 (19.8)
 1.0 to < 1.5 45 (11.3)
 1.5 to < 2.0 37 (9.3)
 2.0 to < 2.5 24 (6.0)
 2.5–3.0 14 (3.5)
Current bDMARD mode, n (%)
 Infusion 75 (18.8)
 Subcutaneous (in-hospital) 59 (14.8)
 Subcutaneous (autologous) 258 (64.5)
 Subcutaneous (caregiver) 8 (2.0)
Duration of current bDMARD, n (%)
 < 1 year 37 (9.3)
 1 to < 2 years 51 (12.8)
 2 to < 3 years 45 (11.3)
 3 to < 5 years 66 (16.5)
 ≥ 5 years 201 (50.3)
Current bDMARDb, n (%)
 Adalimumab 46 (11.5)
 Certolizumab pegol 26 (6.5)
 Etanercept 62 (15.5)
 Golimumab 29 (7.3)
 Infliximab 22 (5.5)
 Etanercept BS 27 (6.8)
 Infliximab BS 5 (1.3)
 Sarilumab 13 (3.3)
 Tocilizumab 106 (26.5)
 Abatacept 59 (14.8)
 Denosumab 5 (1.3)
Concomitant medication, n (%)
 Yes 353 (88.3)
 No 47 (11.8)
Patient preference was shared with the physician in decision-making process for the current treatment drug
 No 242 (60.5)
 Yes 152 (38.0)
 Other 6 (1.5)

bDMARD Biologic disease-modifying antirheumatic drugs, J-HAQ Japanese version of the Stanford Health Assessment Questionnaire, RA rheumatoid arthritis, SD standard deviation

aDuration of RA was calculated as the current age minus the age at diagnosis

bDenosumab, an antiresorptive drug, is approved in Japan for the treatment of RA, and was therefore included in the study. Rituximab was not included as a bDMARD in the study because it is not indicated for the treatment of RA in Japan

Treatment Mode of bDMARDs

The proportions of patients currently receiving bDMARDs by treatment mode were 18.8% (75/400) for in-hospital IV infusion; 14.8% (59/400) for in-hospital SC injection; and 66.5% (266/400) for self-administered SC injection, including 2% (8/400) receiving caregiver-administered SC injection (Fig. 1a). The proportions of patients according to preferred treatment mode of bDMARD were 15.3% (61/400) for in-hospital IV infusion, 18.0% (72/400) for in-hospital SC injection, and 66.8% (267/400) for self-administered SC injection (Fig. 1b).

Fig. 1.

Fig. 1

Current (a) and preferred (b) treatment mode of bDMARDs presented as the percentage and number of patients (parentheses). bDMARD Biologic disease-modifying antirheumatic drug, IV intravenous, SC subcutaneous

Factors Affecting Preference for bDMARD Treatment Mode

Factor analysis of patient thoughts on treatment mode yielded the following factors: factor 1, anxiety or other hurdles related to self-administered SC injection; factor 2, burden of hospital visits; factor 3, reliable or convenient administration; and factor 4, a flexible administration setting (see ESM Table S1).

Univariate analysis to select candidate factors for multinomial logistic regression analysis identified the following factors with a p < 0.20: sex (p = 0.149); age (p = 0.061); duration of current bDMARD use (p = 0.153); current frequency of hospital visits (p < 0.001); work productivity (p = 0.063); involvement in parenting, caregiving, or assistance (p = 0.072); presence of family members who assist in hospital visits and injections (p = 0.009); anxiety or other hurdles related to self-administering the SC injection (p < 0.001); burden of hospital visits (p = 0.057); and flexible administration setting (p < 0.001) (Table 2).

Table 2.

Factors influencing preferred treatment mode (univariate analysis)

Survey item Category Overall patient population (N = 400) Preferred treatment mode
In-hospital IV infusion (n = 61) In-hospital SC injection (n = 72) Self-administered SC injection
(n = 267)
p value
Sex Male 122 (30.5) 22 (36.1) 27 (37.5) 73 (27.3) 0.149
Female 278 (69.5) 39 (63.9) 45 (62.5) 194 (72.7)
Age (years)  < 40 47 (11.8) 5 (8.2) 2 (2.8) 40 (15.0) 0.061
40–59 177 (44.3) 28 (45.9) 35 (48.6) 114 (42.7)
 ≥ 60 176 (44.0) 28 (45.9) 35 (48.6) 113 (42.3)
Duration of RA (years), mean ± SD 14.1 ± 9.8 14.6 ± 9.1 14.2 ± 11.3 14.0 ± 9.6 0.904
J-HAQ score  < 0.5 201 (50.3) 35 (57.4) 33 (45.8) 133 (49.8) 0.402
0.5–3 199 (49.8) 26 (42.6) 39 (54.2) 134 (50.2)
Duration of current bDMARD use (years)  < 2 88 (22.0) 8 (13.1) 13 (18.1) 67 (25.1) 0.153
2–5 111 (27.8) 15 (24.6) 23 (31.9) 73 (27.3)
 > 5 201 (50.3) 38 (62.3) 36 (50.0) 127 (47.6)
Concomitant medication Yes 353 (88.3) 52 (85.2) 65 (90.3) 236 (88.4) 0.663
No 47 (11.8) 9 (14.8) 7 (9.7) 31 (11.6)
RA therapy cost  < 10,000 yen 120 (30.0) 20 (32.8) 27 (37.5) 73 (27.3) 0.480
10,000 to < 30,000 yen 149 (37.3) 21 (34.4) 26 (36.1) 102 (38.2)
 ≥ 30,000 yen 131 (32.8) 20 (32.8) 19 (26.4) 92 (34.5)
Comorbidities Yes 227 (56.8) 32 (52.5) 43 (59.7) 152 (56.9) 0.698
No 173 (43.3) 29 (47.5) 29 (40.3) 115 (43.1)
Type of institution Hospital 286 (71.5) 45 (73.8) 50 (69.4) 191 (71.5) 0.859
Clinic 114 (28.5) 16 (26.2) 22 (30.6) 76 (28.5)
Frequency of visits Once every 1–4 weeks 175 (43.8) 35 (57.4) 53 (73.6) 87 (32.6)  < 0.001
Once every 2–3 months 225 (56.3) 26 (42.6) 19 (26.4) 180 (67.4)
Time required to visit the institution  < 30 min 232 (58.0) 34 (55.7) 46 (63.9) 152 (56.9) 0.391
30 to < 60 min 126 (31.5) 23 (37.7) 21 (29.2) 82 (30.7)
 ≥ 60 min 42 (10.5) 4 (6.6) 5 (6.9) 33 (12.4)
Method of transportation to the institution Voluntary outpatient visit 316 (79.0) 50 (82.0) 56 (77.8) 210 (78.7) 0.815
Driving by another person 84 (21.0) 11 (18.0) 16 (22.2) 57 (21.3)
Occupation Non-regular and self-employed 122 (30.5) 22 (36.1) 24 (33.3) 76 (28.5) 0.679
Full-time employees 95 (23.8) 16 (26.2) 16 (22.2) 63 (23.6)
Students and homemakers 103 (25.8) 14 (23.0) 15 (20.8) 74 (27.7)
Unemployed and other 80 (20.0) 9 (14.8) 17 (23.6) 54 (20.2)
Work productivity, mean ± SD 2.6 ± 2.9 1.9 ± 2.5 2.8 ± 3.0 2.7 ± 2.9 0.063
Cohabiting family Yes 75 (18.8) 10 (16.4) 13 (18.1) 52 (19.5) 0.845
No 325 (81.3) 51 (83.6) 59 (81.9) 215 (80.5)
Involvement in parenting, caregiving, or assistance Yes 75 (18.8) 5 (8.2) 15 (20.8) 55 (20.6) 0.072
No 325 (81.3) 56 (91.8) 57 (79.2) 212 (79.4)
Family members assist with hospital visits and injections Yes 68 (17.0) 18 (29.5) 14 (19.4) 36 (13.5) 0.009
No 332 (83.0) 43 (70.5) 58 (80.6) 231 (86.5)
Anxiety or other hurdles related to self-administering SC injection, mean ± SDa 0.00 ± 0.96 0.85 ± 0.76 0.84 ± 0.85  − 0.42 ± 0.72  < 0.001
Burden of hospital visits, mean ± SDa 0.00 ± 0.95  − 0.10 ± 0.87  − 0.20 ± 0.87 0.07 ± 0.98 0.057
Reliable or convenient administration, mean ± SDa 0.00 ± 0.87 0.08 ± 0.61 0.05 ± 0.78  − 0.03 ± 0.95 0.501
Flexible administration setting, mean ± SDa 0.00 ± 0.85  − 0.59 ± 0.84  − 0.55 ± 0.88 0.28 ± 0.68  < 0.001

Data shown in the table are n (%), unless otherwise indicated

IV Intravenous, SC subcutaneous

aFactors are detailed in ESM Table S1

In the multinomial logistic regression analysis for in-hospital IV infusion versus self-administered SC injection, current frequency of hospital visits (once every 1–4 weeks vs. once every 2 or 3 months; odds ratio [OR] 2.218, 95% CI 1.067–4.610), anxiety or other hurdles related to self-administered SC injection (OR 6.165, 95% CI 3.766–10.093), and flexible administration setting (OR 0.401, 95% CI 0.253–0.636) were significantly associated with a preference for treatment mode (Fig. 2).

Fig. 2.

Fig. 2

Factors affecting selection of preferred bDMARD treatment mode. CI Confidence interval, J-HAQ Japanese version of the Stanford Health Assessment Questionnaire

In the multinomial logistic regression analysis for in-hospital SC injection versus self-administered SC injection, current frequency of hospital visits (once every 1–4 weeks vs. once every 2–3 months, OR 4.735, 95% CI 2.271–9.872), age (for < 40 years vs. ≥ 60 years; OR 0.120, 95% CI 0.023–0.640), anxiety or other hurdles related to self-administered SC injection (OR 6.026, 95% CI 3.763–9.648), and flexible administration setting (OR 0.445, 95% CI 0.283–0.699) were significantly associated with a preference for treatment mode (Fig. 2).

Difference Between bDMARD Current and Preferred Treatment Mode

Among patients currently receiving bDMARDs by in-hospital IV infusion, in-hospital SC injection, and self-administered SC injection, 68.0, 71.2, and 94.0%, respectively, did not report a discrepancy between their current and preferred treatment mode of bDMARD (Fig. 3). The most common reason for not changing the current treatment mode (across all current bDMARD treatment modes) was lack of dissatisfaction with the current treatment mode (Fig. 4). The proportion of patients feeling anxious that the drug's effect was likely to be lost if the treatment mode was changed was greater among those currently receiving in-hospital IV infusion. The proportion who responded that the current treatment mode fit their current lifestyle was greater among those currently receiving self-administered SC injection.

Fig. 3.

Fig. 3

Percentages of preferred bDMARD treatment mode by current treatment mode. Number of patients is indicated in parentheses

Fig. 4.

Fig. 4

Reasons for not changing the current treatment mode of bDMARD. Patients could select multiple answers. RA Rheumatoid arthritis

The proportions of patients with a gap between their current and preferred treatment mode were 32.0% for in-hospital IV infusion, 28.8% for in-hospital SC injection, and 6.0% for self-administered SC injection (Fig. 3). The most common reasons for preferring but not receiving in-hospital IV infusion were “healthcare cost may increase upon switching” (4/10) and “RA status is good” (3/10) (Fig. 5). The major reasons for desiring but not receiving in-hospital SC injection were “physician does not recommend a treatment mode change” (14/30) and “RA status is good” (11/30) (Fig. 5). The major reasons given for desiring but not receiving self-administered SC injection were “patient is unsure of ability to self-administer the drug appropriately” (8/17) and “physician does not recommend a treatment mode change” (5/17) (Fig. 5).

Fig. 5.

Fig. 5

Reasons why patients did not receive their preferred treatment mode by treatment mode preference. Patients could select multiple answers

Willingness to Change bDMARD Treatment Mode in the Future

A total of 7.0% (28/400) responded that they did not wish to change treatment mode; that is, 93.0% (372/400) responded that they would change their treatment mode in the future for various reasons (Fig. 6). The most frequent reasons given for a change in current treatment mode were “switching recommended by a medical professional (e.g., physician or nurse)” and “change of RA symptoms (improved or worsened).” Patients whose current treatment mode was self-administered SC injection were more willing to change their treatment mode for the following reasons: “patient age increased,” “change of RA symptoms (improved or worsened),” and “new drug released”.

Fig. 6.

Fig. 6

Reasons for changing treatment mode of bDMARD in the future. Patients could select multiple answers

Effect of COVID-19 on the Frequency of Hospital Visits and Changes in Treatment Mode

Among all patients, 18.8% (75/400) reduced their frequency of patient visits to the hospital for RA management because of the spread of COVID-19 (see ESM Fig. S1a). Further, 2.0% (8/400) of patients indicated that they wished to change their treatment mode immediately, 12.3% (49/400) wanted to change it in the future, and 3.0% (12/400) had already changed their treatment mode for this reason (see ESM Fig. S1b). Further, 97.0% (388/400) of these patients with reduced frequency of visits indicated that they had not changed treatment mode because of COVID-19 (see ESM Fig. S1b). The proportion by treatment mode was 97.3% (73/75) for those with in-hospital IV infusion, 91.5% (54/59) for in-hospital SC injection, and 98.1% (261/266) for self-administered SC injection.

Discussion

In this web-based survey, we found that a higher current frequency of hospital visits and anxiety or other hurdles related to self-administered SC injection were significant patient background factors for a preference for in-hospital IV infusion and in-hospital SC injection, and younger age for a preference for in-hospital SC injection, over self-administered SC injection. Conversely, a flexible administration setting was a significant patient-related factor for a preference for self-administered SC injection. Many patients reported that they were already receiving their preferred treatment mode. However, more than 90% of patients responded that they would like to change their treatment mode of bDMARD in the future if recommended to do so by a medical professional, or due to aging or a change in RA symptoms. These findings suggest that changes in patient background which affect the preferred treatment mode should be considered in decision-making for RA therapy with bDMARDs.

In this survey, the percentage of patients by current bDMARD treatment mode was 18.8% for in-hospital IV infusion, 14.8% for in-hospital SC injection, and 66.5% for self-administered SC injection. Compared with the USA, the proportion of patients using IV infusion was higher in this survey, but similar to that in the EU [9].

Among patient background factors, a higher current frequency of hospital visits and anxiety or other hurdles related to self-administered SC injection contributed to patients’ preferences for in-hospital IV infusion and in-hospital SC injection. Patients who do not experience any challenges in attending hospital appointments and/or have anxiety or other hurdles related to self-administered SC injection tend to prefer hospital-based administration of bDMARDs. Among patients currently receiving in-hospital IV infusion, 68.0% expressed anxiety or other hurdles related to self-administered SC injection, as did 72.9% of those currently receiving in-hospital SC injection (data not shown). These findings emphasize the importance of communication between patients and physicians about anxiety and other hurdles related to self-injection.

With regard to self-administered SC injection, the major patient background factor that affected patient preference for this mode was its flexible administration setting. A second factor associated with a greater preference for self-administered SC injection over in-hospital SC injection was younger age (< 40 years compared with ≥ 60 years). A 2008 study of patient preferences among three groups of TNFi-naïve patients receiving three TNFis found that, as in our present study, older patients were more likely to prefer in-hospital dosing, whereas non-elderly adults were more likely to prefer self-administration [11]. Our present findings also suggest that young adult patients and patients with time limitations due to employment, academic practice, or parenting/caregiving commitments would prefer self-administered SC injection, due to its minimization of hospital visit frequency and freedom to choose the time and place of administration.

Many patients did not report a discrepancy between their current and preferred treatment mode. Reasons included general satisfaction with the current treatment mode and the opinion that the current treatment mode fit their current lifestyle. The proportion of patients reporting that their current treatment mode fit their current lifestyle was higher in patients receiving self-administered SC injection. Moreover, patients currently receiving bDMARDs via in-hospital IV infusion reported anxiety over whether the drug's effect would be lost if the treatment mode were changed. In other words, patients receiving in-hospital IV infusion of a bDMARD tended to focus on the effectiveness of the medication, whereas those receiving self-administered SC injection were influenced by the relationship between their treatment mode and lifestyle.

In contrast, 32.0% of patients currently receiving in-hospital IV infusion, 28.8% receiving in-hospital SC injection, and 6.0% receiving self-administered SC injection reported a discrepancy between their current and preferred treatment mode. The primary reasons patients were unable to receive their preferred treatment mode were as follows: patients who preferred in-hospital IV infusion were concerned that the change would result in higher healthcare costs; patients who preferred in-hospital SC injection were concerned that their physician would not recommend a change in treatment mode; and those who preferred self-administered SC injection were anxious about being unable to administer the treatment appropriately, and were concerned that their physician would not recommend the treatment mode change. We suggest that better communication between physicians and patients on treatment mode selection might likely alleviate such concerns and increase the proportion of patients receiving bDMARDs via their preferred route of administration.

We also investigated the possibility of future bDMARD treatment mode changes. While many patients reported no discrepancy between their current and preferred mode, > 90% also reported that they might want to change their mode in the future following a recommendation to do so by a medical professional, or due to aging or a change in RA symptoms. More than one half of the respondents wanted to change their treatment mode if their RA symptoms changed. This rate was higher among those using self-administered SC injection than the other two modes. Accordingly, these patients may be willing to receive treatment at a hospital if their symptoms worsen. Regardless of the current treatment mode, more than one half of respondents in this study were willing to change their treatment mode if recommended to do so by a medical professional. This result is thought to reflect the very high dependency of most RA patients on their medical professional when deciding on treatment modes [16]. In addition, a higher percentage of patients who used self-administered SC injection than those who used other modes indicated that they would like to change their method of administration “when patient age increased.” This finding supports a previous finding that elderly people preferred their treatment to be administered by healthcare providers [11], and suggests that patients feel anxious about continuing self-administered SC injection as they age. It is therefore necessary to confirm whether patients who are self-administering their medication are willing to change this treatment mode as they age. Ensuring that changes in patient preference are not overlooked requires the implementation of SDM in daily practice as a suitable means for both physicians and patients to reach consensus and improve treatment satisfaction [17].

This survey was carried out between October and November of 2020. The spread of COVID-19 infection during that period may have affected the selection of and preference for treatment mode among patients with RA. When surveyed on this topic, 97% of patients responded that their treatment mode had not changed, and 85.8% did not wish to change their treatment mode at the time of the survey or in the future. This result suggests that this survey was hardly affected by COVID-19.

Limitations

This web-based survey has several limitations. First, the survey was limited to respondents who had internet access, raising concerns about bias in age groups given that elderly patients have lower internet usage than non-elderly patients [18]. However, mean patient age in this survey was similar to those reported in large observational studies in Japan [1921]. In addition, mean disease duration was also similar to those reported in the above studies [1921]. Second, we were unable to assess disease activity by physical examination or laboratory investigation, and therefore did not assess the Disease Activity Score 28 (DAS28). In addition, we did not include Routine Assessment of Patient Index Data 3 (RAPID3) items. Instead, we used the J-HAQ instrument, whose use in measuring functional status in RA patients is validated [15]. Third, approximately 25% of patients with spondyloarthritis were reported to have extended their dosing intervals or to have discontinued bDMARD therapy during the COVID-19 pandemic [22]; however, we did not evaluate dosing intervals in this study.

Conclusions

Selection of treatment mode in patients receiving bDMARDs for RA is affected by the frequency of current hospital visits, as well as age, flexible administration setting, and anxiety or other hurdles regarding self-injection. Of note, while many patients reported already receiving a favorable treatment mode, > 90% wanted to change to a different mode in the future if recommended to do so by health professionals, or if required by aging or a change in RA symptoms. During long-term RA treatment with bDMARDs, patient preferences for treatment mode following a change in their background should always be confirmed through physician–patient communication. SDM is effective for determining the patients’ preferred treatment mode of bDMARD, and is expected to become standard practice.

Supplementary Information

Below is the link to the electronic supplementary material.

Acknowledgements

Funding

Sponsorship for this study and article processing charges were jointly provided by Mitsubishi Tanabe Pharma Corporation (Osaka, Japan) and Janssen Pharmaceutical K.K. (Tokyo, Japan).

Authorship

All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published.

Authors’ Contributions

Mitsumasa Kishimoto and Fumiko Yamairi made substantial contributions to the study conception, study design, study protocol, data interpretation, and writing or critical review of the manuscript for important intellectual content. Noriko Sato, Jun Kobayashi, and Saori Yamauchi made substantial contributions to the study conception, study design, data interpretation, and critical review of the manuscript for important intellectual content. Tomohisa Iwasaki made substantial contributions to the study design, study protocol, analysis, or data interpretation, and critical review of the manuscript for important intellectual content. All authors had full access to the study data and have read and approved the final manuscript.

Medical Writing and Other Assistance

The authors thank all respondents for completing the questionnaire, and QLife Inc., who assisted with the administration of the questionnaire, data aggregation, and statistical analysis. The authors would like to thank Yutaka Ishii and Seiji Yokoyama (Immunology, Infectious Diseases & Vaccine Department, Medical Affairs Division, Janssen Pharmaceutical K.K.) for their contribution to the data interpretation and discussion. Medical writing assistance in the preparation of this article was provided by Dr Matthew Glasgow of Edanz Pharma. Final editing of the submitted manuscript was provided by Guy Harris of DMC Corp. Support for this assistance was funded by Mitsubishi Tanabe Pharma Corporation (Osaka, Japan) and Janssen Pharmaceutical K.K. (Tokyo, Japan).

Disclosures

Mitsumasa Kishimoto has received advisory board fee and lecture fees from AbbVie, Amgen, Astellas Pharma, Bristol-Myers Squibb, Celgene, Eli Lilly Japan, Gilead Sciences, Janssen Pharmaceuticals, Kyowa Kirin, Mitsubishi Tanabe Pharma Corporation, Novartis Pharma, Ono Pharmaceutical, Pfizer Japan, and UCB Japan; and lecture fees from Asahi Kasei Medical, AYUMI Pharmaceutical, Boehringer Ingelheim, Celltrion Healthcare Co., Ltd., Chugai Pharmaceutical, Daiichi Sankyo, Eisai, and Teijin Pharma. Fumiko Yamairi, Noriko Sato, Jun Kobayashi, Saori Yamauchi, and Tomohisa Iwasaki are employees of Mitsubishi Tanabe Pharma Corporation.

Compliance with Ethical Guidelines

The study was conducted in compliance with the Declaration of Helsinki of the World Medical Association (revised October 2013) and the Ethical Guidelines for Medical and Health Research Involving Human Subjects (partially revised on 28 February 2017). Approval of this study was obtained from the Clinical Research Review Board of Takahashi Clinic on 20 October 2020. This study was registered in the UMIN clinical trial registry (registration number: R000048089).

Data Availability

The data underlying this article are available from Mitsubishi Tanabe Pharma Corporation (rpp_mtpc@cc.mt-pharma.co.jp) or the corresponding author upon reasonable request.

References

  • 1.Aletaha D, Smolen JS. Diagnosis and management of rheumatoid arthritis: a review. JAMA. 2018;320:1360–1372. doi: 10.1001/jama.2018.13103. [DOI] [PubMed] [Google Scholar]
  • 2.Smolen JS, Landewé RBM, Bijlsma JWJ, et al. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs: 2019 update. Ann Rheum Dis. 2020;79:685–699. doi: 10.1136/annrheumdis-2019-216655. [DOI] [PubMed] [Google Scholar]
  • 3.Japan College of Rheumatology. Guidance of denosumab use for rheumatoid arthritis. 2nd Edition 2020 (in Japanese). 2018. https://www.ryumachi-jp.com/publish/guide/guideline_denosumab/. Accessed 31 Mar 2021.
  • 4.Singh JA, Saag KG, Bridges SL, Jr, et al. 2015 American College of Rheumatology guideline for the treatment of rheumatoid arthritis. Arthritis Care Res (Hoboken) 2016;68:1–25. doi: 10.1002/acr.22783. [DOI] [PubMed] [Google Scholar]
  • 5.Yamanaka H, Tanaka E, Nakajima A, et al. A large observational cohort study of rheumatoid arthritis, IORRA: providing context for today’s treatment options. Mod Rheumatol. 2020;30:1–6. doi: 10.1080/14397595.2019.1660028. [DOI] [PubMed] [Google Scholar]
  • 6.Tada K, Yamaji K, Tamura N. New therapy in rheumatoid arthritis—biological DMARDs and JAK inhibitors. Juntendo Med J. 2020;66:34–37. doi: 10.14789/jmj.2020.66.JMJ19-R06. [DOI] [Google Scholar]
  • 7.Alten R, Krüger K, Rellecke J, et al. Examining patient preferences in the treatment of rheumatoid arthritis using a discrete-choice approach. Patient Prefer Adher. 2016;10:2217–2228. doi: 10.2147/PPA.S117774. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Emadi SA, Hammoudeh M, Mounir M, Mueller RB, Wells AF, Sarakbi HA. An assessment of the current treatment landscape for rheumatology patients in Qatar: recognising unmet needs and moving towards solutions. J Int Med Res. 2017;45:733–743. doi: 10.1177/0300060516686872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Taylor PC, Betteridge N, Brown TM, et al. Treatment mode preferences in rheumatoid arthritis: moving toward shared decision-making. Patient Prefer Adher. 2020;14:119–131. doi: 10.2147/PPA.S220714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Edel Y, Sagy I, Pokroy-Shapira E, et al. A cross-sectional survey on the preference of patients with rheumatoid arthritis for route of administration of disease-modifying anti-rheumatic drugs: oral target-specific versus parenteral biologic. Isr Med Assoc J. 2020;22:154–159. [PubMed] [Google Scholar]
  • 11.Chilton F, Collett RA. Treatment choices, preferences and decision-making by patients with rheumatoid arthritis. Musculoskeletal Care. 2008;6:1–14. doi: 10.1002/msc.110. [DOI] [PubMed] [Google Scholar]
  • 12.Nolla JM, Rodríguez M, Martin-Mola E, et al. Patients’ and rheumatologists’ preferences for the attributes of biological agents used in the treatment of rheumatic diseases in Spain. Patient Prefer Adher. 2016;10:1101–1113. doi: 10.2147/PPA.S106311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Reilly MC, Zbrozek AS, Dukes EM. The validity and reproducibility of a work productivity and activity impairment instrument. Pharmacoeconomics. 1993;4:353–365. doi: 10.2165/00019053-199304050-00006. [DOI] [PubMed] [Google Scholar]
  • 14.Reilly Associates. Work Productivity and Activity Impairment Questionnaire: General Health V2.0 (WPAI:GH). (in Japanese). http://www.reillyassociates.net/wpai-gh_v2.0-japanese__japan_--debriefed.doc. Accessed 31 Mar 2021.
  • 15.Matsuda Y, Singh G, Yamanaka H, et al. Validation of a Japanese version of the Stanford Health Assessment Questionnaire in 3,763 patients with rheumatoid arthritis. Arthritis Rheum. 2003;49:784–788. doi: 10.1002/art.11465. [DOI] [PubMed] [Google Scholar]
  • 16.de Toro J, González CM, Cea-Calvo L, et al. Patients’ perceptions on shared decision making during prescription of subcutaneous biological drug treatments for inflammatory arthritis: The RHEU-LIFE survey. Musculoskeletal Care. 2020;18:568–574. doi: 10.1002/msc.1499. [DOI] [PubMed] [Google Scholar]
  • 17.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]
  • 18.Ministry of Internal Affairs and Communications. Internet use in Japan. (in Japanese). https://www.soumu.go.jp/johotsusintokei/whitepaper/ja/r02/html/nd252120.html. Accessed 31 Mar 2021.
  • 19.Mori H, Sawada T, Nishiyama S, et al. Influence of seasonal changes on disease activity and distribution of affected joints in rheumatoid arthritis. BMC Musculoskelet Disord. 2019;20:30. doi: 10.1186/s12891-019-2418-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Nakayama M, Furuya T, Inoue E, et al. Factors associated with osteoporosis medication use in Japanese patients with rheumatoid arthritis: results from the Institute of Rheumatology Rheumatoid Arthritis cohort study. Osteoporos Sarcopenia. 2020;6:82–87. doi: 10.1016/j.afos.2020.04.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Nakajima A, Sakai R, Inoue E, Harigai M. Prevalence of patients with rheumatoid arthritis and age-stratified trends in clinical characteristics and treatment, based on the National Database of Health Insurance Claims and Specific Health Checkups of Japan. Int J Rheum Dis. 2020;23:1676–1684. doi: 10.1111/1756-185X.13974. [DOI] [PubMed] [Google Scholar]
  • 22.Rosenbaum JT, Hamilton H, Choi D, Weisman MH, Reveille JD, Winthrop KL. Biologics, spondylitis and COVID-19. Ann Rheum Dis. 2020;79:1663–1665. doi: 10.1136/annrheumdis-2020-217941. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The data underlying this article are available from Mitsubishi Tanabe Pharma Corporation (rpp_mtpc@cc.mt-pharma.co.jp) or the corresponding author upon reasonable request.


Articles from Rheumatology and Therapy are provided here courtesy of Springer

RESOURCES