Assessing Oral Medication Adherence and Identifying Predictors of Low Adherence in Chinese Inflammatory Bowel Disease Patients

Abstract

Background

Poor medication adherence in inflammatory bowel disease (IBD) had a negative impact on disease outcomes. In this study, we aimed to determine predictors of low adherence in the Chinese IBD populations and also aimed to compare a self-reported scale to a pharmacy refill index in assessing adherence of 5-ASA and azathioprine taken by Chinese IBD patients.

Patients and Methods

Adult patients with IBD who had been taking 5-ASA or azathioprine for at least 3 months were recruited from hospital outpatient clinics. The MPR was calculated from previous six-month pharmacy refill data and the self-reported Morisky Medication Adherence Scale (MMAS-8) was issued through QR code questionnaires. Intentional and unintentional adherence scores were calculated according to specific items. Non-adherence was defined as MMAS-8 scores <6 or MPR < 0.8.

Results

The response rate in the IBD patients was as high as 97%. 5-ASA non-adherence rate assessed by MPR was 30% and 37% by MMAS-8, and azathioprine non-adherence rate assessed was 33% by both MPR and MMAS-8. In a linear regression analysis, MPR value was significantly correlated with MMAS-8 score in 5-ASA group (r=0.4, p=0.003), and significantly correlated with unintentional adherence score (r=0.47, p<0.001). No significant correlation was observed between MPR value and MMAS-8 score in azathioprine group. Multivariate analysis demonstrated that age (OR: 1.08; 95% CI: 1.02–1.13; P=0.0015) and previous abdominal surgery (OR: 3.18; 95% CI: 2.09–4.27; P=0.04) were associated with high medication adherence. While patients who had small intestine lesion (OR: 0.09; 95% CI: 0.01–0.17; P=0.006) were associated with low adherence.

Conclusion

Predictors of low adherence were young age, lesions on small intestine, whereas previous abdominal surgery was a protective factor. This study also demonstrated that the MMAS-8 scale was a valid instrument for assessing 5-ASA adherence in IBD patients. Unintentional non-adherence was significantly related to the total non-adherence, which would allow to use the tool to seek ways for adherence improvement.

Keywords:

• inflammatory bowel disease
• medication adherence
• self-reported Morisky Medication Adherence Scale
• Medication possession ratio

Introduction

Inflammatory bowel diseases (IBD), including ulcerative colitis (UC) and Crohn’s disease (CD), with an incidence rate of 3.44 per 100 000 people in China, are chronic relapsing immune-mediated inflammatory conditions which require lifelong treatment.¹ At present, the main drugs applied in the treatment of IBD are 5-aminosalicylic acid (5-ASA), corticosteroids, immunoregulator (eg azathioprine) and biologics (e.g.infliximab).² For many chronic diseases including IBD, adherence to long-term therapies in patients are related to alleviate symptoms, prevent disease progress, decrease disease flares, increase quality of life and decrease societal and personal costs.^3–5 Previous study showed that non-adherence rates to oral 5-aminosalicylates and thiopurines for IBD are ranging from 7% to 72%, depending on the tools measured.⁶ And rates of non-adherence to biologic medications for IBD have been estimated from 17% to 45% depending on therapy with anti-tumor necrosis factor agents.⁷ Some studies have showed that being single, female, younger age, higher educational level as predictors for low medication adherence.⁸ Others demonstrated that good communication with the physician and understanding the disease as predictors for high adherence.⁹

Different tools such as patient questionnaire, patient diary, pharmacy refill data, interviews, physician perception, pill counters, drug levels and drug metabolites are used to identify and measure adherence.¹⁰ In general, objective assessments of adherence are lower than subjective measurements. Several questionnaires are validated for use in other chronic diseases such as hypertension and diabetes to measure medication adherence. Among them, the modified Morisky Medication Adherence Scale (MMAS-8), a self-administered questionnaire, an eight-item screening tool, has been validated to measure IBD therapy adherence and served as a useful tool in IBD.¹¹ However, MMAS can only be used under license and the cost is prohibitive for many health services. According to the scale, patients can be divided into low, medium and high adherers.¹¹ Besides, the continued use of a medication for the duration prescribed is termed as patient's persistence which is an objective measurement of adherence. Intentional and unintentional non-adherence are two specific dimensions of evaluation and understanding of patients’ medication-taking behavior. Medication possession ratio (MPR) is defined as the number of days of supply of drug obtained divided by the number of days in a study period. According to MPR, patients can be divided into non-adherence and adherence.

Data regarding IBD therapy adherence from China are missing. In this context, the primary outcome of interest was to identify predictors of low and high adherence in a cohort of Chinese IBD patients. Additional outcomes of interest included rates of adherence to 5-aminosalicylates and thiopurines, differences in adherence rates between self-administered scale and medication possession ratio (MPR) in our cohort. Finally, we aimed to compare the validity and reliability of MMAS-8 and MPR in measuring medication adherence in Chinese IBD patients.

Patients and Methods

Study Design

Consecutive patients were recruited in IBD outpatient clinic at the Second Affiliated Hospital, School of Medicine, Zhejiang University, China, between October 2018 and February 2019. Included patients had a diagnosis of IBD according to the usual clinical, endoscopic, radiologic, or pathology criteria. They were invited to complete an online questionnaire app in Chinese. Inclusion criteria included age more than 18 years, current use of self-administered medication to treat IBD and they had a minimum of 6 months’ supply refill data. Patients were excluded if they had difficulty in understanding the content. The questionnaires included social demographic data, disease parameters, personal habits and current therapy, as described below. Patients were also invited to fill in the modified Morisky Medication Adherence Scale (MMAS-8) (Table 1),^12–14 which was an 8-question survey with seven questions having a binary answer (yes/no) and a 5-point Likert response for the last item. Each item of MMAS-8 investigated a specific medication-taking behavior but not a determinant of adherence behavior. In MMAS table, items 1,4,5 and 8 were relevant with unintentional non-adherence behavior while items 2,3,6,7 were related to intentional non-adherence. Medication possession ratio (MPR) was calculated for each therapy, which was calculated as (sum of the days of medication supplied)/(the sum of the days in the total refill intervals). Through tracking refills over a 6-month period, patients’ refill activity was averaged and accounted for premature refills. Pharmacy refills were considered as a suitable gold standard to measure patient medical adherence.¹⁵ The study was approved by the Ethics Committee of the Second Affiliated Hospital, School of Medicine, Zhejiang University in China. Informed consent was verbally received from all patients who completed the questionnaire. The IRB approved the verbal informed consent process.

Table 1 Modified MMAS-8 for IBD Patients and Frequencies for MMAS-8 Scale

MMAS Questions	Scoring	5-ASA	Azathioprine
1. Do you sometimes forget to take your IBD medication?	1 No; 0 Yes	55%	44%
2. People sometimes miss taking their medications for reasons other than forgetting. Thinking over the past 2 weeks, was there a time when you did not take your medication?	1 No; 0 Yes	11%	27%
3. Have you ever cut back or stopped taking your medication without telling your doctor because you felt worse when you took it?	1 No; 0 Yes	5%	12%
4. When you travel or leave home, do you sometimes forget to bring along your IBD medication?	1 No; 0 Yes	33%	21%
5. Did you take your IBD medicine yesterday or at the last scheduled dose?	1 No; 0 Yes	16%	19%
6. When you feel like your IBD symptoms are under control, do you sometimes stop taking your medication?	1 No; 0 Yes	25%	13%
7. Taking medication regularly is a real inconvenience for some people. Do you ever feel hassled about sticking to your IBD treatment plan?	1 No; 0 Yes	9%	4%
8. How often do you have difficulty remembering to take all your IBD medications?
Never/rarely	1		43%
Once in a while	0.75		31%
Sometimes	0.5		24%
Usually	0.25		2%
All the time	0		0%

Notes: Use of the MMAS is protected by US copyright laws. Permission for use is required. Licensure agreement is available from Donald E. Morisky, ScD, ScM, MSPH, Professor, Department of Community Health Sciences, UCLA School of Public Health, 650 Charles E. Young Drive South, Los Angeles, California 90095, USA.

Patients’ Characteristics

The social demographic profile included current age, sex, marital status (married, not married, divorced), education level (illiterate, primary school certificate, middle school certificate, high school/secondary vocational school diploma, three-year college diploma, bachelor’s certificate, master’s and doctorate’s certificate), level of income per month (under 650€, 650–1300€, 1300–2600€ and above 2600€) and smoking status (current smoker, ex-smoker, and nonsmoker). The clinical disease profile consisted of type of disease, age at onset, duration of disease, disease location, disease activity and abdominal surgery in the past. The current medications used for IBD included oral 5-aminosalicylic acid (5-ASA)compounds, 5-ASA enemas and suppositories, steroids, immunosuppressant, monoclonal antibody and enteral nutrition. In our study, the clinical disease activity was assessed by the validated patient-based Harvey-Bradshaw Index (HBI) items for patients with CD, and the Patient-based Simple Clinical Colitis Activity Index (P-SSCAI) for patients with UC.^16,17 And patient-based CD activity was indicated as active (HBI score>4) or as inactive (HBI score≤4).¹⁷ While patient-based UC activity was rated as active (SCCAI score ≥5) or as remission (SCCAI score <5).¹⁶

Adherence Measures

According to MMAS-8 score, patients were divided into three groups: low adherence was defined as a score of less than 6 points, medium adherence by 6–7 points, and high adherence by 8 points.¹⁸ Intentional and unintentional non-adherence scores were calculated according to specific items. When analyzing the data, score 6–8 points were combined into a single group labeled as “medium and high adherers”. Pharmacy refill scores were dichotomized and used to classify adherence as non-adherence (MPR < 80%) based on previously validated criteria.¹⁸

Statistical Analysis

Data analyses were performed using IBM SPSS software (version 25.0, Chicago, Illinois, USA). For quantitative variables, mean and standard deviation or inter-quartile range [IQR] was calculated, and comparison of differences between groups was compared using t-tests if normally distributed, or with the wilcoxon test if non-normally distributed. Categorical variables were expressed as frequency or percentages, and differences in frequencies between groups were calculated using χ2 test or Fisher’s exact test. In addition, univariate logistic regression analysis was used to determine characteristics associated with therapy adherence. And multivariate logistic regression was used to assess whether these individual variables were related to outcomes. Finally, Spearman correlation analysis was used to assess the association between MMAS-8 and MPR percentage. Statistically significant differences were reported as p < 0.05.

Results

Overall Profiles of Chinese IBD Patients

One hundred and ninety-four IBD patients filled the questionnaire. The response rate in the IBD patients was as high as 97%. Among them, there were 88 patients lacking six-month pharmacy refill data. Altogether, 106 consecutive patients were enrolled in the study for comparing with MMAS-8 and MPR data. Table 2 summarizes the main characteristics of our study population: 48 (45%) had ulcerative colitis, 58 (55%) had Crohn’s disease and 73 patients (69%) were men. The current mean age was 33 years and the mean duration of the disease was 4 years. In terms of medical therapy, 54 (51%) IBD patients were on oral 5-Aminosalicylic acid therapy, 26 (24%) on 5-ASA enemas and suppositories therapy, 54 (51%) were taking thiopurines therapy, 8 (8%) were taking infliximab therapy, 10 (9%) were taking steroids therapy, 11 (10%) were on thalidomide therapy and 27 (26%) were on enteral nutrition. Of these, 62 IBD patients were on mono-therapy (58%) and 44 (42%) were taking combination therapy with two or more drugs (Table 2).

Table 2 Patient Characteristics (n=106)

Sex, n (%)
Male	73	69%
Female	33	31%
Disease, n (%)
UC	48	45%
CD	58	55%
Age, median (range)	33	19–52
Age at diagnosis		29±8
Duration of disease (range)	4	3–7
Smoking, n (%)
Never smoked	85	80%
Currently smoking	9	9%
Ex-smoker	12	11%
Disease localization, n (%)
Colon	76	72%
Small intestine	39	37%
Both colon and small intestine	13	12%
Unknown	4	4%
Abdominal surgery in the past, n (%)
NO	72	68%
YES	34	32%
Marital status, n (%)
Married	68	64%
Non-Married	35	33%
Divorced	3	3%
Highest level of education completed, n (%)
Illiterate	0	0%
Primary school certificate	3	3%
Middle school certificate	9	9%
High school/Secondary vocational school	16	15%
Three-year college diploma	24	23%
Bachelor’s level	43	41%
Master’s and Doctorate’s level	11	10%
Self-reported monthly income, n (%)
Under 650€	26	25%
650–1300€	28	26%
1300–2600€	32	30%
Above 2600€	20	19%
Disease activity, n (%)
Active	25	24%
Inactive	81	76%
Medication, n (%)
Oral 5-aminosalicylic acid	54	51%
5-ASA enemas and suppositories	26	24%
Immunomodulator	54	51%
Infliximab	8	8%
Steroids	10	9%
Thalidomide	11	10%
Enteral nutrition	27	26%
IBD treatment
Monotherapy	62	58%
Combination	44	42%
Dosing schedule
Once-a -day	42	40%
Twice-a-day	24	23%
Three-times-a-day	27	25%
Four-times-a day	13	12%
MMAS-8 score, median (range)	6.8	5.4–7.8
Low adherer, n (%)	38	36%
Medium adherer, n (%)	47	44%
High adherer, n (%)	21	20%

Medication Adherence According to MMAS-8

According to the MMAS-8 survey, the median MMAS-8 score was 6.8 (IQR 5.4–7.8), 38 (36%) patients had a score <6 and were defined as low adherers, 47 (44%) scored >6 to 8 were defined as medium adherers, and 21 (20%) patients scored = 8 were defined as high adherers (Table 1). The clinical characteristics of these patients are shown in Table 3. There was no significant difference by smoking status, duration of disease, marital status, education level and monthly income for adherence. In addition, assessed by MMAS-8, 5-ASA non-adherence rate was 37%, azathioprine non-adherence rate was 33%. Among the MMAS-8 low adherent patients, 91% patients had non-persistent medication fill rates (MPR < 0.8), whereas 90% patients had persistent medication fill rates (MPR ≥ 0.8) among the MMAS-8 high adherent patients. The differences between these two groups were statistically significant (p = 0.001) (Table 3). In addition, multivariate logistic binary regression analysis identified that old age (OR: 1.08; 95% CI: 1.02–1.13; P=0.0015) was associated with high medication adherence and additional confirmed that age at diagnosis late (OR: 1.08; 95% CI: 1.01–1.14; P=0.02) was also associated with high adherence (Table 5).

Table 3 Predictive Factors for Adherence According to MMAS (Univariate Analysis)

	Low Adherence	High Adherence	P-value
Patients	38(36%)	68(64%)
Gender			0.609
Male	25(34%)	48(66%)
Female	13(39%)	20(61%)
Current age (years)	33(29–36)	34(29–39)	0.42
Age at diagnosis	28±7	29±8	0.62
Duration of disease (years)	4(3–6)	4(3–7)	0.53
Currently smoking, n (%)			0.869
NO	35(36%)	62(64%)
YES	3(33%)	6(67%)
Abdominal surgery in the past, n (%)			0.34
NO	28(39%)	44(61%)
YES	10(29%)	24(71%)
Disease localization, n (%)
Colon			0.366
NO	12(40%)	18(60%)
YES	26(34%)	50(66%)
Small intestine			0.145
NO	21(31%)	46(69%)
YES	17(44%)	22(56%)
Both colon and small intestine			0.408
NO	32(34%)	61(66%)
YES	6(46%)	7(54%)
Marital status, n (%)			0.561
Married	23(34%)	45(66%)
Non-Married	15(39%)	23(61%)
Highest level of education completed, n (%)			0.477
No	18(35%)	34(65%)
YES	20(37%)	34(63%)
Self-reported monthly income, n (%)			0.841
Under 5000 ¥/5000–10,000¥	20(37%)	34(63%)
10,000–20,000¥/above 20,000¥	18(35%)	34(65%)
Medication use at 3 mo of follow-up, n (%)
5-ASA use			0.818
NO	17(35%)	32(65%)
YES	21(37%)	36(63%)
Thiopurines			0.582
NO	20(38%)	32(62%)
YES	18(33%)	36(67%)
IBD treatment			0.751
Monotherapy	23(37%)	39(63%)
Combination	15(34%)	29(66%)
Daily dose IBD medication			0.394
One	13(31%)	29(69%)
More than one	25(39%)	39(61%)
MPR			0.0001
Low (<0.8)	31(91%)	3(9%)
High (≥0.8)	7(10%)	65(90%)

Table 4 Predictive Factors for Adherence According to MPR (Univariate Analysis)

	Non-Adherence	Adherence	P value
Patients	34(32%)	72(68%)
Gender			0.489
Male	24(33%)	49(67%)
Female	10(30%)	23(70%)
Current age (years)	34(29–37)	33(29–39)	0.596
Age at diagnosis	28±7	29±8	0.64
Duration of disease (years)	4(2–6)	4(3–7)	0.92
Currently Smoking, n (%)			0.598
NO	31(32%)	66(68%)
YES	3(33%)	6(67%)
Abdominal surgery in the past, n (%)			0.268
NO	25(35%)	47(65%)
YES	9(26%)	25(74%)
Disease localization, n (%)
Colon			0.192
NO	12(40%)	18(60%)
YES	22(29%)	54(71%)
Small intestine			0.016
NO	16(24%)	51(76%)
YES	18(46%)	21(54%)
Both colon and small intestine			0.197
NO	28(30%)	65(70%)
YES	6(46%)	7(54%)
Marital status, n (%)			0.443
Married	21(30%)	47(70%)
Non-Married	13(34%)	25(66%)
Highest level of education completed, n (%)			0.182
No	14(27%)	38(73%)
YES	20(37%)	34(63%)
Self-reported monthly income, n (%)			0.366
Under 5000 ¥/5000–10,000¥	16(30%)	38(70%)
10,000–20,000¥/above 20,000¥	18(35%)	34(65%)
Medication use, n (%)
5-ASA use			0.371
NO	17(35%)	31(65%)
YES	17(30%)	40(70%)
Thiopurines			0.47
NO	16(31%)	36(69%)
YES	18(33%)	36(67%)
IBD treatment			0.4
Monotherapy	21(34%)	41(66%)
Combination	13(30%)	31(70%)
Daily dose IBD medication			0.507
One	13(31%)	29(69%)
More than one	21(33%)	43(67%)
MMAS score			0.0001
Low (<6)	31(82%)	7(18%)
High (6–8)	3(4%)	65(96%)

Table 5 Multivariate Analysis in IBD Patients

	Multivariate Analysis
	Odds Ratio (95% CI)	P-value
Current age	1.08 [1.02–1.13]	0.0015
Age at onset	1.08 [1.01–1.14]	0.02
Previous abdominal surgery	3.18 [2.09–4.27]	0.04
Small intestine lesion	0.09 [0.01–0.17]	0.006

Medication Adherence According to MPR

When assessing non-adherence by MPR score <0.8, 34 (32%)patients were classified as non-adherers. The clinical profiles of these patients are shown in Table 4. There was also no significant difference by smoking status, duration of disease, marital status, education and monthly income for non-adherence. In terms of drug therapy, 5-ASA non-adherence rate assessed by MPR was 30%, while azathioprine non-adherence rate was 33% (Table 4). Among the MPR non-adherent patients, 82% of patients were low adherence according to MMAS-8. Furthermore, 96% of patients were high adherence depended on MMAS-8 in the MPR adherent patients. The differences between these two groups were statistically significant (p = 0.001) (Table 4).

Univariate analysis showed that patients who have small intestine lesion were associated with MPR non-adherence (P=0.016) (Table 4). Multivariate logistic binary regression analysis identified that previous abdominal surgery (OR: 3.18; 95% CI: 2.09–4.27; P=0.04) was associated with high medication adherence and additional confirmed that patients who had small intestine lesion (OR: 0.09; 95% CI: 0.01–0.17; P=0.006) was associated with low adherence (Table 5).

Besides, in a linear regression analysis, the values of MPR percentage were significantly correlated with MMAS-8 scores in 5-ASA group (r=0.4, p=0.003) (Figure 1), and also significantly correlated with unintentional adherence score (r=0.47, p<0.001) (Figure 2). However, no significant correlation was observed between MPR value and MMAS-8 score in azathioprine group (data not shown).

Figure 1 Correlation between MMAS-8 score and pharmacy refill behavior for 5-ASA.

Figure 2 Correlation between MMAS-8 unintentional score and pharmacy refill behavior for 5-ASA.

Discussion

Long-term adherence was generally considered as a problem in patients with chronic diseases that needed medication and lifestyle modifications. Adherence refers to the extent of taking medications as prescribed.¹⁰ Non-adherence in IBD can lead to disease flare, increased hospitalization rate, poor prognosis and other undesirable consequences. However, few studies have been done to observe the problem of Chinese IBD patients’ medication adherence. In our study, we used MMAS-8 scale and MPR to assess patients’ medication adherence, and found that almost one third of Chinese IBD patients were low adherent by both MMAS and MPR, which was similar to the proportion of adherence in other countries (35% to 72%).^8,10,18,19 Although different countries had varying health systems, social demographics, access to medication, cost issues, they all had an influence on medication adherence. And low adherence of IBD patients was universal. Therefore, IBD patients’ medication adherence was an issue that needed global attention. Approaches such as individualized treatment, self-management programs ande-mail reminders played a significant role in improving patients’ medication adherence.^11,20

In our study, 5-ASA non-adherence rate was 37% assessed by MMAS-8 tool and 30% assessed by MPR, azathioprine non-adherence rate was 33% both by MMAS-8 tool and MPR, which were similar to those reported in previous studies with the rates of non-adherence from 7% to 72%, and mostly between 30% and 45%.^6,10 Previous studies had showed that being single, active smoking, higher educational level, professional occupation, upper socioeconomic status, and 5-ASA use predicted of low adherence while being self-employed was a protective factor in IBD patients.^5,8,21 Our study found no correlation between marital status, socioeconomic status, education level, tobacco use and medication adherence. One possible explanation was the existence of cultural differences between China and other countries. In our study, the prescription of different IBD medications at the same time did not seem to affect adherence, and no associations were noticed regarding gender, type of disease, duration of disease, or disease activity. Young age had been identified as a significant predictor of low adherence in the previous research,^22,23 and was also found to be relevant in our study which showed old age had high adherence. This could be explained by the fact that IBD primarily influenced younger persons who had a busy social life. In addition, younger patients were more rebellious. Furthermore, they had a more recent diagnosis and were less experienced with relapses and surgeries. Therefore, we suggested that special attention should be paid to adherence condition when dealing with younger patients. As WeChat was the main way for patients to obtain relevant information in China, young patients were encouraged to acquire the required disease knowledge on official accounts such as CCCF.²⁴ Clinicians should also give more attention to young patients and follow-up more frequently. And motivating them to help and communicate with each other was another way of improving adherence for young patients. In addition, IBD nurses were also an important factor in monitoring/improving adherence. They could enable patients to learn more about their disease, thus encouraging the patient’s independence in managing their disease through guided self-management ability and increasing confidence, and directly improving adherence and benefitting their overall quality of life.²⁵ In our study, we also found that patients who endured surgeries had high adherence, which was understandable. In addition, we also showed that patients who had small intestine lesions had lower adherence. One possible explanation was that lesions on small intestine were not as obvious as lesions on large intestine. Thus, patients had no symptoms or mild symptoms at early stage with small intestine. Hence, clinicians should pay more attention to the patients with small-bowel CD and take aggressive intervention during therapy. Besides, clinicians could clearly inform these patients the characteristics and prognosis of small-bowel Crohn’s disease as well as the discordance between symptoms and objective measures of disease activity. Patients who were in clinical remission could have active evidence such as unhealed ulcers in bowels and elevated C-reactive protein level, while other patients with normal endoscopic finding and fecal cal-protectin level could still have persistent clinical symptoms.^26,27 Currently, the treat-to-target recommendations include endpoints of clinical (defined as resolution of abdominal pain) and endoscopic remission (defined as resolution of ulceration).^26,28

Furthermore, we observed that the MMAS-8 correlated significantly with MPR in 5-ASA group with a correlation coefficient of 0.4, but no significant correlation was observed between MPR value and MMAS-8 score in azathioprine group. Therefore, in our study, MMAS-8 seemed to be a useful screening tool to predict IBD patients who took 5-ASA medication adherence behavior. Moreover, we also found that the values of MPR percentage were significantly correlated with MMAS-8 unintentional adherence score with a correlation coefficient of 0.47 (p<0.001) in 5-ASA group, but no significant correlation was observed between MPR value and MMAS-8 unintentional adherence score in azathioprine group. This may be partly due to “stockpiling behavior” in azathioprine group. Most of the patients prefer to stocking up excessive medicines in case of lacking thus influenced the validity of MPR. Hence, in our study, MMAS-8 seemed to be a useful tool to assess patients’ reasons for non-adherence and differentiate between intentional and unintentional non-adherence in 5-ASA group. This observation was consistent with another research that investigated the correlation between the MMAS-8 tool and MPR among 150 IBD patients receiving different therapies, including 5-ASA, steroids, immunomodulators, and anti-TNF agents.¹⁵ The MMAS-8 correlated significantly with MPR in immunomodulators group with a correlation coefficient of 0.26, but not in 5-ASA group and anti-TNF group.¹⁵ However, other studies that excluded anti-TNF group found a significant association between the MMAS-8 tool and MPR.²⁹ These differences may be explained by the fact that the MMAS-8 tool was originally developed in patients on daily medication.

The strengths of our study include a diverse population with variable social demographic profile, disease activity and medication history. In addition, we combined MMAS-8 tool and pharmacy refill data for measuring adherence in order to improve accuracy. Furthermore, as far as we know, our study firstly reported on adherence to IBD maintenance medication in Chinese patients. The limitations of our study need to be addressed as well. First, the sample size was small. And the survey was conducted with patients who attended a tertiary referral practice, which might not represent patients in the community. Second, the Hawthorne effect, which means that patients might improve their medication-taking behavior in response to their awareness of being observed, could not be completely excluded.³⁰ Third, previous researches observed that adherent patients had a higher belief of necessity for therapy and fewer doubts about the efficacy of IBD medication.^31,32 The influence of patients’ beliefs on medication adherence was not taken into account in our study.

In summary, we had identified factors that might influence on adherence in Chinese IBD patients. We found that predictors of low adherence were young age, lesions on small intestine, whereas previous abdominal surgery was a protective factor. Therefore, clinicians should pay more attention and closely follow-up younger patients and small-bowel Crohn’s disease patients to improve their adherence. In addition, the MMAS-8 had shown to be a convenient tool to measure adherence in chronic disease patients, which was simple, practical and patient-friendly questionnaire that could be done through the internet or mobile. The use of pharmacy refills seemed to be a gold standard; however, it is complicated and time consuming if the patient got refills from multiple sources. In our study, we also had demonstrated that the MMAS-8 tool correlated well with MPR, which could identify low adherers in Chinese IBD patients consistent with previous work, but it appeared to be limited for specific drug classes like 5-ASA. More work should be done to legitimize this tool in everyday clinical practice.

Highlights

● Poor medication adherence in inflammatory bowel disease (IBD) had a negative impact on disease outcomes.

● Predictors of low adherence were young age, lesions on small intestine, whereas previous abdominal surgery was a protective factor.

● MMAS-8 scale was a valid instrument for assessing 5-ASA adherence in IBD patients.

Abbreviations

IBD, inflammatory bowel disease; CD, Crohn’s disease 16; UC, ulcerative colitis; MMAS, Morisky Medication Adherence Scale; MPR, Medication Possession Ratio; 5-ASA, 5-aminosalicylic acid; CCCF, The China Crohn’s & Colitis Foundation 17; HBI, Harvey- Bradshaw Index; P-SSCAI, Patient-based Simple Clinical Colitis Activity Index.

Disclosure

The authors declare no conflicts of interest in this work.

Additional information

Funding

This work was supported by research grants from Zhejiang Provincial National Science Foundation of China (grant number LY20H160031) and Intestinal Barrier Research Foundation of Lijieshou (grant number LJS-201703) to CPZ. This work was also supported by Ferring company, Shanghai, China.