Immunosuppressive therapy related adherence, beliefs and self-management in kidney transplant outpatients

Abstract

Purpose

Kidney transplant (KTx) recipients should strictly adhere to their lifelong complex therapeutic regimen, and any barriers to medication adherence can weaken correct patient behavior. This study aimed to determine the adherence to immunosuppressive therapy (IS) in KTx adult outpatients in the Czech Republic, and attempted to gain a greater insight into their attitudes toward IS and self-management tasks.

Materials and methods

Pharmacist-led structured interviews were conducted to assess self-reported adherence to IS using the Czech version of the Medication Adherence Report Scale, in the context of attitudes toward IS in terms of necessity and concern scale of the Beliefs about Medicines Questionnaire. A specific questionnaire was developed to target IS self-management tasks. Medication records were also reviewed for IS serum levels, reflecting direct adherence measurement. Descriptive statistics were used to calculate adherence and self-management variables, and were analyzed by univariate and multivariate correlations, including the decision-tree method.

Results

The interview was completed by 211 (male 123; mean age 55.0±12.4 years, mean time 6.6±5.9 years after KTx) of the total of 235 patients. Full adherence to IS was reported by 173 (82.0%) patients. Most of them had IS serum levels within the therapeutic range, however, cyclosporine was associated with the highest variability (P<0.001). Non-adherence and concerns increased over time after KTx (P<0.05). Despite the more common unintentional non-adherence (P<0.001), relatively high concerns signified the risk of not taking IS as prescribed. Concerns also correlated with the perception of impaired health status (P<0.01), as well as the occurrence of IS-related adverse effects (P<0.001). The patients’ awareness of their therapy was insufficient, and main gaps in self-management comprised inadequate sun protection, incorrect administration of IS, and unfamiliarity with the IS name, or their indications.

Conclusion

Although self-reported adherence to IS therapy was satisfactory, the comprehensive evaluation enabled the detection of greater concerns about IS, as well as underestimated self-management tasks that posttransplant interventions should target in the future.

Keywords:

• medication adherence
• self-management
• kidney transplantation
• immunosuppression
• beliefs about medicines

Introduction

Kidney transplantation (KTx) is the best treatment option for most patients with end-stage renal disease associated with longer survival and improved quality of life. However, lifelong immunosuppressive treatment (IS) is required to minimize the risk of graft rejection. Therefore, KTx recipients need to adhere to complex therapeutic regimens, including a combination of IS, along with other medications to prevent or treat comorbidities.¹

In general, medication adherence is the key to therapeutic success. According to the WHO, it can be defined as the extent to which a person’s behavior corresponds with the agreed recommendations from their health care professionals.² The term adherence goes beyond simply taking medication, because it reflects the broad-range of health-related behavior, including dietary habits, or lifestyle.³ Medication non-adherence, therefore, brings about both personal and economic costs associated with increased morbidity, hospitalization, and mortality.⁴ Non-adherence to posttransplant immunosuppression (IMNA) represents one of the leading preventable causes of graft rejection, which may eventually end in failure of graft functioning. Among non-adherent groups, the risk of graft rejection is increased by seven-fold.⁵ Despite its serious consequences, IMNA remains a common problem in KTx outpatients, with occurrence ranging between 22% and 68% depending on measurement modalities and sampling methods.¹

The established current approach suggests that medication adherence should not be considered as a dichotomous variable (adherent vs non-adherent),⁶ yet should be considered as a dynamic process influenced by a variety of factors, which may even change over time. The absence of a gold standard in measurement also limits objective comparison among different studies, however, the combination of subjective and objective methods is regarded as the most accurate.⁷ In this context, an important distinction should also be drawn between unintentional and intentional non-adherence. Unintentional non-adherence occurs when patients cannot take their medication as prescribed due to factors beyond their control (eg, forgetfulness, impaired ability to understand instructions, etc.). Intentional non-adherence occurs when patients decide not to take their medication, usually based either on personal beliefs, or due to negative attitudes toward the treatment. According to the Necessity-Concerns Framework, the patients’ motivation to adhere is influenced by their personal needs for medication (necessity beliefs), as well as by their concerns regarding potential adverse effects.⁸ This type of belief regarding the treatment has been shown to be an independent risk factor of non-adherence.⁹

As widely accepted, KTx is both stressful and a life-changing milestone. Patients must quickly adopt to an altogether different lifestyle, as well as to medicines with a certain diet to minimize the risks of long-term IS. While pursuing a complex therapeutic regimen, they must be strictly adherent as far as possible and persist with it during the whole posttransplant period. Hence, the purpose of our study was to evaluate the situation among KTx outpatients in the Czech Republic. We aimed to determine patients’ beliefs about their treatment and self-reported adherence to IS, as well as the overall posttransplant self-management behavior in relation to sociodemographic, clinical, and time variables. For us, these data will be useful for detecting patients with poor medication-taking behavior, while the multidimensional view of the study may further allow the development of targeted interventions whenever needed.

Materials and methods

Study cohort

The cross-sectional study was carried out in a 12-month period, from March 2016 to March 2017, at the Hemodialysis Center, University Hospital Hradec Králové, in the Czech Republic. Patients ≥18 years of age and at least 3 weeks after KTx were invited during their scheduled follow-up with the nephrologist. Patients had to sign the informed consent. The exclusion criteria were initial or antirejective IS, cognitive disorders, hospitalization, or disapproval to being enrolled. The study design was pre-approved by the Ethics Committee of the University Hospital Hradec Králové and conforms to the provisions of the Declaration of Helsinki.

Data collection and measurement

All data were obtained through a uniform pharmacist-led structured interview (BV), supplemented with a review of medical documentation. Each interview took 20–30 minutes. At the beginning, patients were acquainted with the study, and subsequently asked for the name of all the prescribed IS medications. Sociodemographic characteristics, including education, occupational status, hometown, and household income, were completed. Patients were also asked to rate their health status using the 5-point Likert scale. Self-reported medication adherence was measured by the Czech version of the Medication Adherence Report Scale (MARS-CZ), which was validated in an interview.¹⁰ The MARS-CZ can be employed in various diseases with similar dosing regimen, as the items are focused on the patients’ intentional or unintentional changes in prescribed dosages. The same benefits apply to the Beliefs about Medicines Questionnaire (Czech version BMQ-CZ), wherein the beliefs about IS were assessed using its specific subscale.¹¹ Cronbach alphas indicated good internal reliability (for MARS-CZ α=0.67, BMQ-CZ necessity α=0.75, and BMQ-CZ concern α=0.73). Both the MARS and the BMQ questionnaires were originally published by Horne et al.^12,13

The MARS-CZ consists of five statements related to non-adherent behavior, of which three items reflect intentional non-adherence (eg, decision to miss a dose), while two reveal unintentional non-adherence (eg, forgetting to take). Each item is scored on 5-point Likert scale, with one indicating “always” and five indicating “never”. The maximum of 25 points represents full adherence. The continuous score (0–25 points) was combined with dichotomous variables using the cut-point of 23 points to determine high (≥23 points) and low (<23 points) level of adherence. This cut-point was preferred in studies requiring the patients’ strict medication adherence, established in agreement with the Czech validation study.¹⁰ The BMQ-CZ consists of 11 statements concerning personal beliefs about the necessity of the medication, as well as their concerns regarding potential adverse effects. The respondents’ agreements with each statement were scored from strongly disagree (one point) to strongly agree (five points). The average score was calculated for each necessity and concern subscales.

The interviews were followed up by questions about the real use of IS, including self-management issues, as well as dietary and lifestyle habits. The questions were formulated based both on the reviewed literature and on the report received from the expert panel, which was composed of the responsible nephrologist, nurse and clinical pharmacist. A pilot study was conducted to test the readability of the questionnaire. From the area of self-management, patients’ self-monitoring of blood pressure, their approach to sun protection, preventive examination (eg, vaccination), food avoidance, salt restriction, as well as their smoking status were determined. Questions focusing on IS pharmacotherapy were divided into a general part and a section specific to each IS substance. The general part included daily drug preparation, drug use aids, use of over-the-counter, and dietary supplements. The specific section referred to the use of IS in relation to food and dosage regimen, liquids for swallowing the pill, satisfaction with the drug form, and the subjective feeling of any adverse effects.

Simultaneously, medication records were reviewed during each interview, especially to discuss the complete pharmacotherapy and also the serum concentrations of the main IS, including tacrolimus (TAC), cyclosporine (CYSP), sirolimus (SIR), and everolimus (EVE). Serum levels of these ISs were regularly monitored in the hospital. Based on hospital guidelines, the target range for TAC was 10–15 µg/L in newly transplanted, and 5–10 µg/L in patients at least 3 months after KTx. For CYSP, the limit was 80–120 nmol/L, whereas 4–9 µg/L for SIR and EVE. The cut-off values were adapted whenever the medical record indicated individual treatment. Before measurement, patients were instructed not to take their morning dose, but after the sampling instead. Targeting the IS serum concentration, the limits were assessed for all ISs ranging from 0 to 1. Negative values stood for sub-therapeutic concentrations that may indicate poor medication adherence. The risk of low concentrations associated with possible drug interactions, was also determined. Counting with long-term individual dose adjustments, it was not necessary to specify pharmacogenomics. In addition, further clinical characteristics were collected from the patients’ medical records, that is, diagnosis, family history of kidney disease, causes of renal failure, time interval after KTx, parameters indicating kidney functioning, as well as other data otherwise not covered by the interviews.

Statistical analysis

Data were analyzed using Wolfram, Mathematica, version 11.2. Methods of descriptive statistics were used for characteristics of the tested cohort by the mean of frequencies for nominal and mean, median ± SD for metric items. Due to the frequent ordinal nature of data derived mainly from questionnaires, the use of non-parametric tests was preferred. Correlations between pairs of numerical or ordinal variables were measured by Kendall’s tau (τ). The signs and magnitude of the differences in position were tested by the Wilcoxon signed-rank test for two levels of independent factors and the Kruskall–Wallis test for multiple levels of independent factors. The P-value of <0.05 was considered as statistically significant.

In addition to the statistical significance value, the corresponding effect size was calculated. However, selected coefficients were used for the effect size, and in the case of correlations, additional tests had to be performed: d for two groups and η2 for multiple group differences in position, Pearson r for correlation of two variables and w for difference in frequencies of individual values of nominal variables. Only medium or large effect sizes according to Cohen’s convention are mentioned in the results.¹⁴

The difference of IS dispersion was tested by the Conover squared ranks test. Lower level of between-subject variability was corresponded with the more successful control of obtained IS serum level. The frequency of variability, potentially leading to sub-therapeutic IS concentrations, was compared between the groups by chi-squared test.

The dependence of a numeric variable (IS serum level or the MARS-CZ) on more non-independent binary variables (recommendations in the area of self-management) was analyzed using Chi-square automatic interaction detection (CHAID) decision-tree method.

Results

Participants’ characteristics

During the study period, there were 412 KTx outpatients in posttransplant care at the Hemodialysis Center, of whom 235 patients were invited to participate. The interviews were conducted with 211 patients (89.9%), as 24 (10.1%) declined, due to lack of time or interest. The study cohort included 123 (58.3%) male patients. The mean age was 55.0±12.40 years. Approximately one-third of the patients were active workers, one-third were receiving disability pension, and the remaining one-third receiving retirement pension.

The mean time after KTx was 6.6±5.89 years with chronic glomerulonephritis as the most frequent cause of renal failure. Patients used on average 11 drugs per day. The most commonly prescribed IS regimen was a combination of TAC, mycophenolate, and prednisone (PRE). In total, 174 (82.5%) respondents could name their main IS, but only 74 (35.1%) patients named all their prescribed ISs. Complete sociodemographic, KTx, and treatment characteristics are shown in Table 1.

Table 1 Sociodemographic, clinical, and medicine characteristics (n=211)

Characteristics
Gender, n (%)
Male (%)	123 (58.3)
Age (years)
Median (min, max)	57.0 (25–77)
Education, n (%)
Secondary school	22 (10.4)
High school	172 (81.5)
Post/undergraduate	17 (8.1)
Occupation, n (%)a
Active worker	65 (29.4)
Disability pension	76 (34.4)
Retirement pension	77 (34.8)
Hometown (inhabitants), n (%)
<10,000	143 (67.8)
Living alone, n (%)
Yes	43 (20.4)
Income per month (Czech crown), n (%)b
<30,000	140 (66.3)
Satisfaction with the income, n (%)
Yes	121 (57.3)
Time after KTx (months), n (%)
≤3	16 (7.6)
4–12	21 (10.0)
13–24	25 (11.8)
>24	149 (70.6)
Repeated transplants, n (%)
Yes	23 (10.9)
Type of donor, n (%)
Cadaveric	200 (94.8)
Living	11 (5.2)
Cause of renal failure, n (%)
Chronic glomerulonephritis	51 (24.2)
IgA nephropathy	32 (15.2)
Renal polycystosis	38 (18.0)
Family history of kidney disease, n (%)
Positive	55 (26.1)
Not available	22 (10.4)
Estimated glomerular filtration rate (mL/s), n (%)c
>1.5	4 (1.9)
1–1.5	45 (21.3)
0.5–1	130 (61.6)
<0.5	32 (15.2)
Medication, mean (SD)
Prescription	11.13±2.90
Over the counter	0.86±1.09
Immunosuppression, n (%)a
Tacrolimus	125 (59.2)
Cyclosporine	59 (28.0)
Sirolimus	30 (13.3)
Everolimus	2 (0.9)
Mycophenolate	169 (80.1)
Prednisone	201 (95.3)
Azathioprine	7 (3.3)
Knowledge of the IS name, n (%)a
Tacrolimus	105 (84.0)
Cyclosporine	47 (79.7)
Sirolimus/everolimus	24 (80.0)
Mycophenolate	117 (69.2)
Prednisone	77 (38.3)
Azathioprine	6 (85.7)
Perception of health condition, n (%)
Excellent	16 (7.6)
Very good	35 (16.6)
Good	113 (53.6)
Satisfying	41 (19.3)
Bad	6 (2.9)

Notes:

a Multiple answers possible;

b exchange rate on 12/04/2018: one euro =25.3 Czech crown;

c eGFR using CKD-EPI.

Abbreviations: IS, immunosuppression; KTx, kidney transplantation.

Self-reported adherence to immunosuppressives

Self-reported adherence to IS measured by the MARS-CZ was high (mean 24.7±0.95, median 25, min 16, and max 25). Unintentional IMNA was significantly more common than intentional IMNA (d=0.33, P<0.001). The score of the MARS-CZ depended on the specific main IS (η²=0.02, P=0.040). For instance, all patients using SIR were fully adherent. However, this correlation may be biased due to the ceiling effect, as most patients gained the maximum score at the MARS-CZ. Generally, less than perfect adherence (<25 points) was found in 38 (18.0%) cases and low adherence (<23 points) in 6 (2.8%) cases. Significant correlation was found between self-reported adherence and higher age at the time of KTx (τ=0.03, r=0.20, P<0.001), whereas the score of the MARS-CZ decreased with time after KTx (τ=−0.12, r=−0.13, P=0.026). Correlations between the MARS-CZ and relevant sociodemographic and clinical variables are summarized in Table 2.

Table 2 Kendall’s correlations of self-reported adherence, beliefs, and IS serum levels with relevant sociodemographic and clinical characteristics (n=211)

Characteristics	MARS-CZ	Relative IS serum level1	BMQ-CZ, necessity	BMQ-CZ, concern
Age (years)	0.179**	0.001	0.141**	−0.0003
Age at KTx (years)	0.208***	−0.009	0.189***	−0.057
Time after KTx (months)	−0.124*	0.020	−0.090	0.101*
MARS, total		0.017	0.165**	−0.118*
Relative IS serum level1	0.017		0.022	0.029
BMQ, necessity	0.165**	0.022		−0.059
BMQ, concern	−0.118*	0.029	−0.059
Estimated glomerular filtration rate (mL/s)2	0.070	0.073	0.024	0.031
Number of medication per day	0.073	0.020	0.133*	0.086
Educational status	0.014	−0.082	−0.248***	0.055
Perception of health status	0.098	0.031	−0.099	−0.166**

Notes:

1 Target range for tacrolimus was 10–5 µg/L in newly transplanted and 5–10 µg/L in others; 80–120 nmol/L for cyclosporine and 4–9 µg/L for sirolimus;

2 eGFR using CKD-EPI.

* P<0.05;

** P<0.01;

*** P<0.001.

Abbreviations: BMQ-CZ, Beliefs about Medicines Questionnaire – Czech version; IS, immunosuppression; KTx, kidney transplantation; MARS-CZ, Medication Adherence Report Scale – Czech version.

Perceptions and beliefs about immunosuppressives

The mean necessity and concern score of the BMQ-CZ were 4.7±0.5 and 2.3±1.0, respectively. Only small deviations among necessity responses presumed the presence of a ceiling effect. Patients agreed the most with the statement that medicines protect their health status from turning worse (96.2% agreed or strongly agreed), and that without the medicines, they would be very ill (94.8%). As previously with the MARS-CZ, the necessity of the treatment significantly correlated with higher age at the time of KTx (τ=0.19, r=0.20, P<0.001), whereas concerns increased significantly with time after KTx (τ=0.10, r=0.15, P=0.035) (Table 2). Patients expressed their concerns most frequently about the adverse effects of long-term IS therapy (46.5%). The manifestation of adverse effects caused by IS was admitted by 102 (48.3%) respondents, but only 70 discussed it with their nephrologists. Furthermore, one-third of the patients (32.7%) were worried that they had to take IS at all. The concern scale correlated with the occurrence of adverse effects (d=0.57, P<0.001, medium effect size), as well with a worsening perception of their health status (τ=−0.17, r=−0.22, P=0.002). As presented in Table 1, most respondents considered their health condition as “good”, whereas 6 (2.9%) patients perceived it as “bad”. This perception altered with increasing age (τ=−0.25, r=−0.30, P<0.001, medium).

Actual use of IS and self-management

The majority of respondents used IS after meals. TAC on an empty stomach was taken by 43 (34.4%) respondents. The IS dosage form was scored as satisfactory for the patients; nevertheless, the pill size was mentioned as a problem for 29 patients (mycophenolate 10; TAC 9; CYSP 7; and PRE 3). Another 10 respondents complained about the bitter taste of PRE, while one respondent was not satisfied with the smell of the CYSP capsule. Better adherence scores correlated with greater willingness to use sun protection (P=0.004, CHAID). However, the awareness of sun protection, as well as regular use of sunblock cream were rather low. Compared with data on the general population, a smaller number of patients were active smokers. Respondents with stronger beliefs about the need of IS were also more aware of the potential drug–food interaction with CYP450 inhibitors, for example, the need of avoiding grapefruit, pomelo, and pomegranate consumption (τ=0.13, r=0.15, P=0.037). Multivariate correlations did not detect other statistically relevant associations. Complete self-management tasks are summarized in Table 3.

Table 3 Self-management tasks (n=211)

Drug preparation and use
Taking pill with relation to food, n (%)
Tacrolimus on an empty stomach	43 (34.4)
Prednisone after breakfast	160 (79.6)
Liquid for swallowing the pill, n (%)
Only water or fruit tea	138 (65.4)
Green or black tea, milk, coffee, etc	73 (34.6)
Daily drug preparation, n (%)
Himself/herself	192 (91.0)
Family member	20 (9.5)
Nurse	1 (0.5)
Use of drug aids, n (%)
Pillbox	114 (54.0)
Medication list	119 (56.4)
None	63 (29.9)
Dietary habits, n (%)
Food avoidance1	92 (43.6)
Grapefruit, pomelo, and pomegranate consumption	68 (32.2)
Salt restriction	147 (69.7)
Lifestyle habits
Sun protection, n (%)
Sunblock cream	55 (26.1)
Proper clothes (eg, hat)	73 (34.6)
Avoiding sunshine (at noon)	110 (52.4)
Avoiding solarium	211 (100.0)
Nothing	58 (27.5)
Smoking, n (%)
Current smoker	24 (11.4)
Ex-smoker	58 (27.5)
Never smoked	129 (61.1)
Monitoring of blood pressure, n (%)
Regularly	114 (54.0)
When needed	44 (20.9)
By a practitioner	12 (5.7)
Week before medical appointment	2 (0.9)
None	39 (18.5)
Monitoring of body weight, n (%)	159 (79.1)
Preventive examination, n (%)2
Influenza vaccine	42 (19.9)
Pneumococcal vaccine	5 (2.4)
Bone densitometry	49 (23.2)

Notes:

1 Individual restriction of any kind of nourishment;

2 Individual awareness of selected preventive examination.

IS serum levels

The comparison of IS serum levels among the main IS (EVE excluded due to low number of recipients) is presented in Figure 1. Most patients presented IS serum levels within the therapeutic range (0–1) with median 0.40, 0.30, and 0.34 of CYSP, SIR, and TAC, respectively. IS differed in the IQR, where CYSP was associated with the highest statistical variability in the serum level (P<0.001, Conover test). Furthermore, the use of CYSP was at the greatest risk of reaching the serum level below the lower limit of the therapeutic range (w=0.59, P=0.035, large). No correlation was found with the MARS-CZ and the BMQ-CZ (Table 2), however, low serum levels of CYSP, SIR, and TAC were found in 14 (23.7%), 1 (3.8%), and 14 (11.2%) patients, respectively. Only a limited number of patients received SIR, but the results showed relatively high number of cases with serum levels beyond the upper limit of the therapeutic range. Due to this insight, TAC seemed to be the preferred IS, ensuring the most stable immunosuppression.

Figure 1 Serum levels of main immunosuppressives.

Abbreviations: CYSP, cyclosporine; SIR, sirolimus; TAC, tacrolimus.

Discussion

Adherence to IS was observed as satisfactory, however, with deteriorating tendencies over time after KTx. Furthermore, younger age at the time of KTx was closely related to decreased adherence and beliefs. Although unintentional IMNA was more common, relatively high concerns about long-term IS therapy signified the risk of intentional IMNA.

Current research has shown the need of strict adherence to IS during the whole posttransplant period. In KTx outpatients, IMNA is considered as the cause of about half of all rejection episodes, as well as 15% of graft loss.¹⁵ The actual situation in the Czech Republic remains unknown. A Slovakian study on 252 KTx patients reported 37 (14.7%) cases of IMNA, when the indications of non-adherence were the caregivers or family members suspicion, long-term variability of IS serum levels, as well as avoidance of follow-up visits. In this study, the leading causes of IMNA were forgetting to take IS and the fear of undesirable effects of IS. All non-adherent patients showed positivity for minimum one donor-specific antibody, whereas the graft function was worse in all patients with IMNA.¹⁶

The standardized questionnaires used in our study allowed the identification of patients with increased risk of IMNA.¹⁷ Due to their simplicity and low financial burden, an affordable method was provided offering comparable results across different health conditions. On the other hand, there is always certain risk posed by the respondents’ overvaluation, either due to fears of disappointing their health care providers, or simply because of different perceptions toward medication-related behavior. The so-called social desirability bias might also have occurred in our study, especially in cases when the questionnaires were delivered in face-to-face interviews. Furthermore, data from different types of questionnaires may not be easily comparable with each other. We found two cross-sectional studies using the MARS questionnaire to estimate adherence to IS in patients after KTx, with slightly different results. In these studies, about half of the respondents were fully adherent, while <10% had <23 points.^18,19 In our study, full adherence was reported by >80% of all respondents, and only 2.8% of them had <23 points. Similar results were found in another study from the Czech Republic, in which the MARS-CZ was used to determine self-reported adherence to statins.¹⁰ Similar findings to ours were also observed with other scales (eg, the Basel Assessment of Adherence with Immunosuppressive Medication Scales), even if a less strict scoring method was used.^20,21 On the other hand, the results of the Immunosuppressant Therapy Adherence Scale varied from 60%²² to >90%²³ of fully adherent respondents. Consistent with our study, the effect sizes of most significant results were small, or were not reported at all. This may be another explanation for high heterogeneity in results among studies.

In cases when standardized questionnaires were combined with patient interviews, the accuracy of evaluating IMNA remained low, yet increased the possibility of identification of multiple risk factors of IMNA for each respondent. This is beneficial, as the etiology of IMNA is multifactorial. Younger age and pre-transplant medication non-adherence were considered as major risk factors.^22,24 Similarly, younger patients showed decreased adherence in our study. This may be caused by their busy lifestyles or higher concerns about adverse effects of long-term immunosuppression (eg, cardiovascular disease and cancer).^25,26 Non-adherence also increased with time after KTx. The same results were found in a study by De Geest et al²⁷ and Massey et al,²⁰ where IMNA increased significantly between 6 weeks and 6 months after KTx from 17% to 27%. This can be explained as some recipients might have experienced burn-out syndrome, whereas others gained greater confidence in the viability of the kidney, or felt better.²⁶

A high number of non-adherent KTx outpatients reported unintentional IMNA. Forgetfulness was reported as the most common reason.²⁸ Generally, respondents considered IS very important for their health, but this attitude was observed to decrease over time. The result corresponded with data of all similar studies conducted on KTx patients^18,19,29 as well as all studies conducted on chronically ill patients in the Czech Republic.^10,30 However, few studies questioned this particular association between beliefs and adherence.³¹ In a study by Massey et al, patients after KTx reported a high level of perceived necessity and relatively few concerns about their IS, but IMNA still increased significantly over a period of 18 months.²⁰ Higher concerns about IS therapy were related to the worsening perception of their health condition, as well as the occurrence of adverse effects. These concerns increased with time after KTx. Greater deficiencies were found in self-management, for example, the absence of any sun protection, as well as incorrect administration of TAC and PRE, were the most serious ones.

The data obtained from self-report correlated with the type of IS, although not with IS serum concentrations. Higher rates of sub-therapeutic level and higher statistical variability were related to CYSP therapy. Even if non-adherence cannot be determined by single measurement of IS serum concentration, the IMNA might be a major factor contributing to high IS serum level variability. Therefore, suspected IMNA still must be considered, even if the ceiling effect of the MARS-CZ was noticed. Moreover, the questionnaire referred to all prescribed ISs, whereas serum levels were measured only for the main IS. In a comparison, no association between self-reported adherence to IS and IS serum concentrations was found in the study by Griva et al, however, lower rates of IMNA based on IS serum levels than on self-reports were observed.¹⁹ Serum concentrations reflect only medication taken prior to visit, while the self-reported questionnaire estimates adherence patterns over a longer period and more generally. Concerning the variability of CYSP serum levels, the explanation could be the need for two daily doses as CYSP has a shorter biological half-life, or higher age among CYSP users due to the longer registration period on the market.

In our study, the patients’ knowledge of their own IS therapy was often insufficient, which included not only being unfamiliar with the type of ISs and indications, but also incorrect drug administration in relation to food or daily schedule. Concerning self-management, inadequate sun protection unnecessarily increased the risk of skin cancer. Providing the additional interventions, such as educational materials and repeated motivational interviewing, could be effective in reducing these risk factors in KTx outpatients.^32,33 In cases of unintentional non-adherence, patients may profit from establishing a daily medication routine, and also by simplifying the daily drug regimen with the use of pillboxes, reminders, or other technology-based devices. On the other hand, motivational interviewing may be helpful in patients intentionally refusing the suggested therapeutic plan.³¹ Essentially, each health care provider, according to their competencies, may further promote individually the patients’ adherence to the therapy and self-management.

The limitation of our study was the unicentric cross-sectional design with all the limits of engaged adherence measuring, as aforementioned, and with the impossibility to cover outcome surveillance, for example, the onset of rejection episode, or progression of graft dysfunction. Similarly, our study did not reflect on the clinic-dependent posttransplant education either.

Conclusion

In conclusion, patients after KTx may be non-adherent to the therapy. Among all respondents, the medication adherence and beliefs related to the necessity of IS therapy were often satisfactory, however, worsened over the time passed after KTx. Few patients admitted forgetting, but relatively high concerns about long-term IS use signified the risk of intentional IMNA. Despite the intensive posttransplant care and frequent medical appointments, the patients’ attitudes toward the treatment, their knowledge of IS, as well as adherence to self-management issues seemed to be underestimated. Self-reported questionnaires enabled detecting persons at higher risk of IMNA, yet also help the identification of individual barriers. This could be employed in the development of targeted interventions for patients with IMNA, as well as to propose some general enhancements in posttransplant care. Our results may also motivate health care professionals in implementation of new approaches.

Author contributions

All five authors of this manuscript 1) made substantial contributions to conception and design, acquisition of data, or analysis and interpretation of data; 2) drafted the article or revised it critically for important intellectual content; 3) gave final approval for the version to be published; and 4) were in agreement to be held accountable for all aspects of the work, including ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

Acknowledgments

This study was supported by Charles University (Project SVV 260 417, PROGRES Q40-14, and PROGRES Q42). We thank the University Hospital Hradec Králové for providing the clinical data for this research and the nurses (particularly Zuzana Sircekova) at the Hemodialysis Center for their contribution in addressing patients to participate in the study.

Disclosure

The authors report no conflicts of interest in this work.