Background. Measurement of the degree of adherence is a key element for the evaluation of treatment efficacy and safety; thus, adherence plays an important role in clinical research and practice. The aim of this study was to investigate medication adherence in children with inflammatory bowel disease (IBD) utilizing a multimethod assessment approach. A further aim was to examine factors that can influence adherence within this population. Methods. Medication adherence in 47 children (age range 3 to 17 years) with IBD in three centers in Northern Ireland and Jordan was assessed via subjective (parent and child versions of the Medication Adherence Report Scale (MARS) specific questionnaire) and objective methods, that is, high-performance liquid chromatography (HPLC) determination of the 6-mercaptopurine (6-MP) and azathioprine (AZA) metabolites in packed red blood cell samples taken during a clinic visit. Beliefs about prescribed medicines were also assessed in parents/guardians using the Beliefs about Medicines Questionnaire (BMQ). Results. An overall nonadherence to AZA/6-MP therapy in children with IBD was found to be 36.17% (17 out of 47 patients were classified as nonadherent using at least one of the assessment methods). A total of 41 patients (91.1%) were classified as adherent to AZA or 6-MP using the blood sampling, while adherence rates using the MARS questionnaire completed by children and parents/guardians were 60.6% and 72.7%, respectively. The latter provides a more longitudinal measure of adherence. Child self-reported nonadherence rates were significantly higher than parent/guardian reported rates (). Binary logistic regression analysis identified age to be independently predictive of adherence, with adolescents (children aged ≥ 13 years old) more likely to be classified as nonadherent. Regarding the BMQ, when parental/guardian necessity beliefs outweighed concerns, that is, higher scores in the necessity-concern differential (NCD), adolescents were more likely to be classified as adherent. Conclusion. Results provide evidence for ongoing adherence challenges in the paediatric population with IBD. It is recommended that parents/guardians (particularly of older children) and older children themselves, should receive enhanced counselling and education about their prescribed medicines.
1. Introduction
Inflammatory bowel disease (IBD) describes a range of immune-mediated disorders resulting in chronic and intermittent gastrointestinal inflammation [1]. Symptoms of IBD include abdominal pain, recurrent diarrhea, weight loss, fever, lethargy, anorexia, and puberty delay in children [2]. Treatment of IBD includes a range of oral medications such as anti-inflammatories, immunomodulators, corticosteroids, and antibiotics [3]. Management of the disease may also involve the use of over-the-counter medications such as vitamins, iron and mineral supplements, dietary changes, infusions, or even surgery [3, 4]. Consequently, patients may have a complex medication regimen which can be overwhelming and give rise to concerns regarding adherence.
Adherence is defined as the degree to which patient medication taking behaviour corresponds with agreed healthcare providers' recommendations [5]. Adherence to treatment in IBD is a key element in the achievement of decreased disease activity, maintenance of periods of remission, and the achievement of adequate nutrition for the patient [5, 6]. Very few studies have examined adherence rates in children with IBD, and research in this area is largely restricted to the adult population [7]. Adherence in chronic paediatric diseases is a complicated matter as it can involve the whole family. In younger children, the parent or guardian is responsible for the administration of medications and ensuring that the disease is managed appropriately; however, as the child gets older, responsibility for taking medication transitions from parent to the older child. This latter transition has been shown to have a negative influence on adherence [8]. A systematic review reported a lack of medication adherence data in general in patients with IBD and indicated the need for further studies to investigate the impact of treatment adherence on clinical outcomes in these patients [9]. Despite the lack of a firm link between health outcomes and the level of adherence in children and adolescents with IBD, the adult literature suggests detrimental consequences as a result of nonadherence to the IBD regimen, with patients who are nonadherent being up to 5.5 times more likely to experience a relapse in symptoms [10]. Studies have suggested that many lifelong health management behaviours are established during adolescence and therefore understanding the factors that impact adolescents’ adherence to their IBD regimen could potentially be beneficial in improving lifelong IBD management [11].
During the adolescent years adhering to IBD treatment has been reported to be particularly problematic [12]. Mackner and Crandall reported medication adherence rates of 38% and 48% in a paediatric IBD sample according to parent and adolescent reports, respectively [13], while others have reported adherence rates as low as 25–35% in adolescents [14, 15]. As management of medicines in children and adolescents involves both parents and the patients themselves, feedback on adherence is commonly collected from both parties as an indirect measure of adherence. Barriers to medication adherence in adolescents with IBD include drug side effects, negative medication beliefs [16], and cognitive and physical developmental factors [17]. Studies in adults with IBD [18] and other long-term conditions [19] have also shown that nonadherence is related to patient beliefs about the treatment, for example, how they judge their personal need for a particular medication(s) relative to their concerns about potential adverse effects.
Hommel et al. [20] showed that in children with IBD, the nonadherence rate for azathioprine (AZA)/6-mercaptopurine (6-MP) was 6% using subjective assessment and 46% using biological assays [20]. Since self-report is likely to overestimate adherence, it is therefore generally recommended that multimethod approaches are used to assess medication taking behaviour [21, 22].
AZA and 6-MP are immune-suppressants with short half-lives (3 and 1.5 hours, respectively) and therefore measuring their metabolites, that is, 6-thioguanine nucleotides (6-TGNs) and 6-methylmercaptopurine (6-mMP), is a more consistent direct method for adherence assessment and for therapeutic drug monitoring. Intracellular accumulation of AZA/6-MP metabolites occurs over a period of 2–3 weeks and therefore provides an indicator of long-term adherence [23]. While 6-TGN is considered the most active metabolite of the thiopurines [24], 6-mMP is considered responsible for side-effects of thiopurine therapy [25].
The primary aim of the present study was to assess medication adherence in children/adolescents with IBD utilizing a multimethod adherence assessment approach. A further aim was to investigate factors that may affect medication adherence within this patient group.
2. Methods
The study was approved by the research Committees in Royal Medical Services in Jordan (reference number: TF 3/1/EC/3719/) and the office of Research Ethics Committees Northern Ireland (ORECNI) (reference number: 11/NI/0100). Children with IBD, aged ≤17 years and who were receiving AZA/6-MP for at least one month were invited to participate in the study. Patients were excluded from the study if the parent/guardian or child refused participation in the study or if the child had developmental delay as judged by his/her physician. Recruitment of children was conducted in two medical centres in Northern Ireland (the Royal Belfast Hospital for Sick Children (RBHSC) and Altnagelvin Area Hospital (AAH)) and one centre in Jordan (Queen Rania Al Abdullah Hospital for Children-Royal Medical Services). In Northern Ireland, eligible parents and their children were invited to participate in the study by sending a letter ahead of the clinic visit while in Jordan they were approached at the same day of the clinic. Informed written parental consent to participate in the research was obtained by a research nurse for each child together with child assent in children ≥6 years old.
For each recruited patient, data on patient demographics, current medications and medical history were obtained from his/her medical files. An aliquot of whole venous blood (one sample per patient; 2 mL volume) was taken from a routine clinical blood sample withdrawn from the child during attendance at routine outpatient clinic. All blood samples obtained from patients were processed into plasma and packed RBC samples and stored at−80°C prior to analysis using a validated HPLC analytical method [26] modified as shown below.
2.1. Questionnaires Administered to Patients and Their Parents/Guardians
The following questionnaires were provided to patients and their parents/guardians recruited into the study for self-completion at the clinic, as follows:
2.1.1. Medication Adherence Report Scale (MARS; Child and Parent/Guardian Versions) Questionnaire
The original parent and child versions of the Medication Adherence Report Scale (MARS) specific questionnaire were utilized to assess adherence of patients aged ≥ 11 years recruited in NI [27] while validated Arabic translated versions [28] were utilized in Jordan. Both versions have been shown to have good reliability [27, 28]. The parent version has 6 questions while the child version has 5 questions. In each version, item scores were summed and scaled to result in scores ranging from 1 to 5. Higher scores indicate higher levels of self-reported adherence. In the present study, a conservative 90% cut-off point for adherence was used; that is, a participant was considered to be adherent if the MARS score was ≥ 4.5 out of 5 [28, 29].
2.1.2. Beliefs About Medicines Questionnaire (BMQ) Specific
Beliefs about prescribed medicines were assessed in parents using the Beliefs about Medicines Questionnaire (BMQ) [30]. BMQ scores can be categorized into two subscales, that is, necessities and concerns. Views expressed about the necessity of the medication for maintaining or improving health describe the ‘necessity beliefs’ whereas beliefs about the potential adverse effects of taking medication are incorporated into the ‘concerns’ subscale [30]. The original English version of the BMQ was utilized for patients recruited in NI, while the validated Arabic version was utilized for patients recruited in Jordan [28].
There are 11 statements in the questionnaire each being coded as either a necessity (n = 5) or a concern (n = 6) and participants indicate their degree of agreement with each individual statement on a 5-point Likert scale, ranging from strongly disagree to strongly agree. The total necessity and concern scores are calculated separately before being compared to see if the participant’s overall view of their medications is that of necessity or concern. The scores of each necessity and concern scale were scaled to give scores ranging from 1 to 5. Higher scores indicate stronger beliefs in the perceptions represented by the scale. The balance of concerns relative to necessity is known as the necessity-concern differential (NCD). When the NCD is positive, necessity beliefs outweigh concerns and conversely when negative, concerns outweigh necessity beliefs [31].
2.1.3. Measurement of AZA/6-MP Metabolite Concentrations in Packed Red Blood Cell Samples
A sensitive, selective, and high-performance liquid chromatography (HPLC) method that was developed and validated in our lab previously [26] was utilized for determination of 6-MP metabolites after being modified as follows. The sample preparation step involved addition of 150 μl of water and 100 μl dithiothreitol (75 mg/mL) to the 100 μl of packed RBCs. The sample was vortexed for 1 minute after which 50 μl of perchloric acid (700 mL/L) was added and vortex-mixed for a further 30 seconds. After centrifugation at 13,000 × for 15 minutes, the clear supernatant layer was removed and heated for 45 min at 100°C using a heating block. An aliquot of 700 μL of water was added and then vortex-mixed for 10 seconds before being transferred to (MCX) SPE cartridges (1 ml/30 g; Waters®). The final eluent was then dried for 20 minutes under a stream of nitrogen at 37°C and reconstituted in 100 μL 0.05 M NaOH with vortex mixing for 1 minute. Samples were then subjected to HPLC with UV detection (322 nm and at 342 nm) using an Atlantis® (T3) dC18 column [150 mm × 4.6 mm; particle size, 3 μm; Waters] protected with a guard cartridge of similar chemistry (20 mm × 4.6 mm; particle size, 3 μm; Waters). The mobile phase solutions were degassed and filtered prior to use. Mobile phase A: 97% (0.02 M) phosphate buffer pH 2.25. Mobile phase B: acetonitrile. The mobile phase flow was a gradient (1 mL/minute) from 97% to 80% mobile phase A over 14 minutes followed by 11 minutes reequilibration with 97% mobile phase A. The assay limits of quantification for 6-mMPNs and 6-TGNs were 3.75 and 0.5 μM, respectively. Concentration ranges covered by the assay validation (ICH guidelines) were 3.75–300 μM for 6-mMPNs and 0.5–20 μM for 6-TGNs.
Analysis of blood samples was conducted at Queen’s University Belfast for patients recruited in NI and at the Pharmaceutical Research Center, Jordan University of Science and Technology for blood samples obtained from patients in Jordan.
2.1.4. Triangulation of Adherence Assessment Data
Adherence to thiopurines was assessed using a combination of subjective (MARS) and objective (metabolite concentrations). Adherence classification of individual patients was as follows:(a)If score was <4.5 using the parent/guardian MARS questionnaire, then the patient was deemed nonadherent.(b)If score was <4.5 using the child MARS questionnaire, then the patient was deemed nonadherent.(c)Levels of AZA/6-MP metabolites in packed RBCs were subjected to cluster analysis [29, 32]. The pattern of 6-mMP and 6-TGN metabolite concentrations in the IBD patients was investigated and patients were grouped according to their metabolite levels. The 20th percentile was used as a cut-off point. Patients who had both 6-TG and 6-mMP concentrations below the threshold (20th percentile) were classified as nonadherent [29].
Through triangulation of results from the different subjective and objective approaches, a patient was deemed as nonadherent if any of the assessment methods identified the patient as nonadherent.
2.2. Data Analysis
Descriptive statistics were used to describe the sample; the continuous variables were described using mean and standard deviation (SD); categorical variables were described using frequency and percentages. Group differences (adherent versus nonadherent) were explored using the Mann Whitney U test for continuous variables. Categorical variables were analyzed using Chi-squared analysis. If the expected frequency fell below 5, Fisher’s exact test was employed. The Kappa (κ) coefficient was used to assess the magnitude of agreement between each of the methods of adherence assessment. Univariate analysis was used to explore the relationship between adherent and nonadherent patient groups and patient age, gender, disease duration, and beliefs about medicine. Binary logistic regression was then utilized to determine independent predictors of adherence to thiopurine therapy.
All analyses were carried out using SPSS® software version 22. The significance level was set at 0.05.
3. Results
3.1. Patient and Disease Characteristics
Forty-seven eligible patients (N. Ireland, n = 31; Jordan, n = 16) agreed to take part in this cross-sectional study. Response rates are of course a challenge with all clinical trials since only those patients/parents who provide appropriate consent can join the research. In the present research, eleven patients declined to take part in the research in Northern Ireland out of total 48 patients (31 patients from RBHSC and 17 patients from AAH). The main reasons for refusal by parents/guardians were no interest in research (8 patients), time limitation (1 patient), or travel plans already in place (1 patient), while one child refused to participate due to the anticipated pain associated with the finger prick for the DBS sampling. Six patients were not approached for various reasons, for example, transfer to another clinic (5 patients) or patient stopped taking the drug (1 patient). Response rate in NI was 64.6%.
On the other hand, 23 patients were eligible for recruitment into the study in Jordan: 16 patients agreed to participate while 7 patients refused to participate due to lack of interest in the research. The response rate in Jordan was 69.6%.
Thirty children (63.8%) were diagnosed with Crohn’s disease, 14 (29.8%) were diagnosed with ulcerative colitis, and 3 patients (6.4%) had indeterminate colitis. The demographics and disease characteristics of the study sample are described in Table 1.
Parameters
IBD patients in Jordan
(N = 16)
IBD patients in NI
(N = 31)
Child age (years), median (range)
11 (3–15)
13.5 (3.9–17.4)
Child gender, n (%)
Male
7 (43.8)
20 (64.5)
Female
9 (56.3)
11 (35.5)
Disease duration (years), median (range)
Disease severity#, n (%)
2 (0.5–8)
2.5 (0.4–7.2)
Inactive
14 (87.5)
25 (80.6)
Mild/moderate
2 (12.5)
6 (19.4)
Severe
0 (0.0)
0 (0.0)
Number of medications, median (range)
4 (2–6)
3 (1–6)
Type of IBD, n (%)
Crohn’s disease
10 (62.5)
20 (64.5)
Ulcerative colitis
6 (37.5)
8 (25.8)
Indeterminate colitis
0 (0)
3 (9.7)
IBD medication type, n (%)
Azathioprine
16 (100.0)
20 (64.5)
6-mercaptopurine
0 (0.0)
11 (35.5)
Thiopurine dose mg/kg, median (range)
Azathioprine
2.0 (1.0–2.8)
2.1 (0.9–2.7)
6-mercaptopurine
—
0.9 (0.7–1.1)
Metabolite concentrations
6-TGNs (μM), median (IQR)
4.55 (3.54–6.04)
4.85† (4.31–7.08)
6-mMPNs (μM), median (IQR)
10.18 (4.64–16.68)
13.23†† (8.09–18.34)
NI: Northern Ireland. IQR: interquartile range. #The overall disease severity of each participating child was assessed by their physician, using the Paediatric Crohn’s Disease Activity Index for those with Crohn’s disease and using the Paediatric Ulcerative Colitis Activity Index for those with ulcerative colitis/indeterminate colitis. 6-TGN levels equivalent to 327.6 pmol/8 10⁸ erythrocytes. 6-MPN levels equivalent to 746.5 pmol/8 10⁸ erythrocytes. †6-TGN levels equivalent to 349.2 pmol/8 10⁸ erythrocytes. ††6-MPN levels equivalent to 970.2 pmol/8 10⁸ erythrocytes.