Patients diagnosed with urge urinary incontinence and overactive bladder OAB 56.1%; 40.7%, having severe incontinence symptoms 56.1%, showing objectively high treatment effi-cacy 25.3%, a
Trang 1Original article
Factors of adherence to treatment with trospium in employees
Kirill Vladimirovich Kosilova,b,*, Sergay Alexandrovich Loparevc,
a r t i c l e i n f o
Article history:
Received 2 June 2016
Received in revised form
25 September 2016
Accepted 1 January 2017
Available online xxx
Keywords:
adherence of treatment
employees
incontinence
lower urinary tract symptoms
trospium
a b s t r a c t Aim: To conduct a comprehensive study of adverse factors and decreasing patients’ adherence during treatment with trospium
Materials and methods: During 12 months, 977 patients receiving trospium were studied regarding de-mographic, socioeconomic, and medical parameters by studying employer’s records, extracts from in-come tax returns, questionnaires OABq-SF, MOS SF-36, ICIQ-SF, and questionnaires concerning demographic and social status, voiding diaries, and uroflowmetry
Results: In total, 54.4% and 35.5% of patients preserved adherence to treatment with trospium during 6 months and 12 months, respectively The average time of reaching a 30-day break in trospium admin-istration was 182 days Patients diagnosed with urge urinary incontinence and overactive bladder OAB (56.1%; 40.7%), having severe incontinence symptoms (56.1%), showing objectively high treatment effi-cacy (25.3%), and individuals subjectively satisfied with treatment outcome (57.5%) prevail among adherent patients, a significant minority is heavy coffee drinkers (14.5%)
Individuals who are healthcare and education employees having annual and monthly income signifi-cantly higher than the mean income of patients receiving trospium also prevail among adherent patients (25.0%; 32.5%) Adherent patients are significantly older (56.3) than patients less adherent to the treatment
Conclusion: This experiment allowed for thefirst time the determination of the complexity of hetero-geneous medical, socioeconomic, and demographic factors affecting patients’ adherence in treatment with trospium
Copyright© 2017, Taiwan Urological Association Published by Elsevier Taiwan LLC This is an open access
article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
1 Introduction
The prevalence rates of lower urinary tract symptoms (LUTS)
and, particularly, overactive bladder (OAB) symptoms remain
consistently high worldwide.1,2The prevalence ofОАВ is
signifi-cantly higher in the elderly and women.3 The mean incidence of
ОАВ symptoms “at least sometimes” for all races is 26e33% in men
and 27e46% in women.4 Furthermore, 8% of men and 20% of
women at the age of 18e70 years reported to have OAB symptoms
“frequently”.5,6
LUTS are often accompanied with depression, anxiety, decreased mental and physical activity, social isolation, and sexual health problems.7,8Apart from its negative effect on health-related quality
of life in many men and women, direct costs for LUTS treatment are very high; in 2009, they amounted to $ 22.3 billion only in the USA The presence of LUTS causes substantial losses for the employer and the employee and decreased work productivity, as observed in in-dividuals suffering from asthma or chronic arthritis.9e11
Efficacy and safety of the available range of antimuscarinic drugs (AM) is generally recognized at the moment.12Additionally, new advanced drugs appear having the mechanism of therapeutic effect associated with affecting b3-adrenoceptors Nevertheless, LUTS management continues to be a challenge currently One of the reasons include poor adherence of patients to treatment with AM drugs.13,14
* Corresponding author Ayax 10, F733, DVFU, Vladivostok, RUVVO, Russian
Federation.
Contents lists available atScienceDirect Urological Science
j o u r n a l h o m e p a g e :w w w u r o l - s c i c o m
http://dx.doi.org/10.1016/j.urols.2017.01.001
creativecommons.org/licenses/by-nc-nd/4.0/ ).
Urological Science xxx (2017) 1e8
Trang 2In previous researches, we drew our attention to the patient's
poor adherence to AM drugs treatment,15e17 which is consistent
with the other authors' data.18
Poor adherence to physician’s prescriptions may be determined
by medical, social, economic, demographic, psychological, and other
factors.19,20We have established correlation between adherence to
prescriptions and efficacy of AMs, development of side effects, a
regimen and a method ofАМadministration, and pharmacology of
different drugs Sometimes the results of the studies differ signi
fi-cantly among different authors For example, in one of the studies, it
was found that adherence to treatment with fesoterodine is
signif-icantly higher than that with solifenacine and lolnerodinum.21In
other studies, conclusions were not so unambiguous.22,23
It was found that adherence to treatment with AM drugs is
significantly affected by the cost of the drug, a possibility to get
insurance treatment, and the number of days of disability leave.24
However, we failed to find studies in the available literature
regarding correlation between adherence to treatment with a
certainАМdrug and a wide range of medical, pharmacodynamic,
socioeconomic, and demographic factors that could affect the
pa-tient’s choice We were also unable to determine information
regarding comparison of significance of such factors in the making
of a patient’s behavioral decision
In our earlier works, we studied the effect of combination of
someАМdrugs, particularly trospium, of decreased and increased
dosage, on the activity ofОАВ symptoms Trospium chloride is a
quaternary ammonium compound, which does not affect the
cen-tral nervous system and causes no side effects, associated with
influence on the central nervous system.25We have suggested that
studying a wide range of factors, affecting adherence to treatment
with trospium, could help to identify the most significant of them
Probably, the understanding of significance level of different factors
and possibility to affect some of them would help to improve the
adherence and manageability of treatment process
Therefore, the purpose of this study was to study the signi
fi-cance of the factors affecting adherence to treatment with trospium
in the cohort of employees to increase the efficacy of management
of various LUTS forms
2 Methods
2.1 Background information about the experiment
The study design is presented inFigure 1 The study was
con-ducted at the premises of the Regional Diagnostics Center of the
City Polyclinic No 3 of Vladivostok from June 1, 2013 until February
5, 2015 It was a randomized, blinded prospective experiment
regarding the factors affecting patients’ adherence to treatment
with trospium According to the experiment protocol, among all the
patients aged 18e60 years who visited the above institutions
concerning LUTS, we selected patients admitted on the
odd-numbered days of the month and prescribed with a long-term (>
1 year) treatment with trospium only.25Selection of patients into
groups with various forms of LUTS was performed using stratified
randomization ensuring equal gender representation The selection
scheme is presented in Figure 2 Electronic patient records and
their test results were anonymized (they were assigned with
numbers) to blind the members of the study group performing
analysis of the results To calculate the sample size, we considered
the confidence level of 95% and a confidence interval of ±5%
2.2 Inclusion/exclusion criteria and factors studied
Patients with the following diagnoses were included in the
groups for participation in the experiment: overactive bladder, OAB
(ICD-9-CM: 596.51 converts directly to 2015 ICD-10-CM N32.81); urge incontinence, UUI (ICD-9-CM: 788.31 converts directly to 2015 ICD-10-CM N39.41); mixed incontinence, MI (ICD-9-CM: 788.33 converts directly to 2015 ICD-10-CM N39.46); and nocturia (ICD-9-CM: 788.43 converts directly to 2015 ICD-10-CM R35.1).26 The diagnosis was confirmed by the data from voiding diaries, ques-tionnaires OAB questionnaire short form (OABq-SF), and results of uroflowmetry.27
Furthermore, the criteria for inclusion in the group were employment for at least 6 months before the start of the experiment and availability of the policy of obligatory medical insurance The exclusion criteria were terminal cancer, administration of AMs within
6 months before the start of the experiment, and unemployment During the active phase of the experiment (12 months), all the patients were administered with trospium chloride as mono-therapy 15 mg twice a day after meal, as prescribed by the urologist Every day during the year, the patients completed voiding diaries In these diaries they noted data regarding the amount, volume, time, and specific characteristics of urination, urgency ep-isodes, incontinence, side effects, and time of trospium intake The diaries were also supplemented with a column wherein the patients included information about smoking and consumption of caffein-ated food and drinks as well as alcohol
Before the study, after the 6thmonth (1stcheckpoint) and in the end of the follow-up period (2ndcheckpoint), all patients under-went the following diagnostic procedures: (1) uroflowmetry, evaluation of urodynamics during the evacuation phase with calculation of urine volume (mL), average urineflow rate (Qaver, mL/ s), maximum urineflow rate (Qmax, mL/s), which provides objective evaluation of urination disorders; (2) completion of the question-naire OABq-SF to specify the form and severity of urination disor-ders; a score of> 8 was considered as urination disorder of the certain type; (3) completion of the questionnaire “The Medical Outcomes Study 36-Item Short-Form Health Survey” (MOS SF-36)
to determine the general effect of health on the quality of life The questionnaire MOS SF-36 consists of eight items, each char-acterizing a certain aspect of quality of life: physical functioning (PF), role-physical (RР), bodily pain (ВP), general health (GH), vi-tality (VT), social functioning (SF), role-emotional (RE), and mental health (MH) The scale ranges from 0 to 100;28(4) completion of the questionnaire “International Consultation on Incontinence Questionnaire-Short Form” (ICIQ-SF), a specialized tool helping to determine the effect of urinary incontinence (UI) on the quality of life (maximum score is 21);29(5) completion of free-form ques-tionnaires, containing information about main descriptive de-mographic and social characteristics of patients; and (6) studying of employer’s records (an extract from the employment agreement), statement of income from the tax inspectorate
Medical factors under study included a form of urination dis-order, severity of UI symptoms, presence of side effects due to trospium administration, treatment efficacy, treatment satisfaction, experience of treatment with any other AMs, awareness of methods
of LUTS treatment, comorbid conditions (Charlson Comorbidity Index), administration of drugs concerning other diseases, bad habits, and sleepewake cycle disturbances.30 Additionally, we studied the characteristics of the urination disorder The degree of
UI was defined as severe when more than three episodes were observed during the day Defining caffeine abuse, we assumed that the highest daily dose of caffeine recommended by the manufac-turers does not exceed 300 mg.31Smoking of more thanfive ciga-rettes a day was defined as tobacco abuse, and the score > 8 on the AUDIT scale was defined as alcohol abuse.32,33
Socioeconomic factors under study included annual salary and average monthly salary; number of individuals with the level of income lower than the living minimum wage; number of sick leave
K.V Kosilov et al / Urological Science xxx (2017) 1e8 2
Trang 3days and their cost for the employer; number of sick leave days
and employer’s expenses for the sick leave certificate; number of
full- and part-time employees; monthly expenses for trospium
and other drugs, square of these expenses, percentage of these
expenses in overall patients’ expenses, and their square; and
employee turnover, a percentage of employees having changed the place of employment within 5 years before the experiment, and time of work at one place The level of salary and expenses pre-sented are adjusted for inflation to the price of the US dollar as of June 2012
499.3 534.8
598.5
659.7
705.6 748.6 855.3 959.1 1068.6 1193.5
450
550
650
750
850
950
1050
1150
1250
10 20 30 40 50 60 70 80 90
Proportion of day covered (%)
9.2
8.4
7.7 7.1
6.3 5.9
5.2 5.1 4.8 4.5
4
5
6
7
8
9
10
10 20 30 40 50 60 70 80 90
Proportion of day covered (%)
Figure 1 (A) Dependence between shares of days of trospium treatment and monthly payment (B) Share of trospium cost in employee’s salary Black unmarked line indicates the
98.3
94.2
86.1 81.5 78 76.9 73.4
64.7 60.7 57.2 56.1 56.1
98.1
82.3
71.5 63.1 60.6 59.1
56.1
40.7
93.1
67.5
60.7 47 38.5
19.6 16.2
12.8 9.4 7.7
96.5
65.2
53
42.6 30.4
26.1 22.6
16.5 11.3
13.9 8.7 4.3 0
10 20 30 40 50 60 70 80 90 100
months
Urge incontinence (n=173) Overactive bladder (n=572) Mixed incontinence (n=117) Nocturnal incontinence (n=115)
Trang 42.3 Evaluation of adherence and non-adherence
Patients’ adherence to treatment was calculated as the time
from the start of the experiment until the 30-day break in trospium
administration Adherence was calculated separately for each
po-tential affecting factor
The average level of patient’s adherence was defined as the
percentage of days during the year from the beginning of
sol-ifenacin administration during which he took the drug according to
the prescription All patients were divided into three cohorts to
compare the significance of factors affecting adherence: adherent
employees (adherence 80%), poorly adherent (< 80%, but 50%)
and non-adherent (< 50%)
2.4 Statistical analysis
Analysis of time of feature survival (adherence) by the
three-parameter Weibull distribution was performed using the model
of waiting for a 30-day break in trospium administration For the
employees included in the study cohort, we used the models of
preserving of adherence with double right type 1 censoring
Goodness offit of the Weibull distribution to data was evaluated
using the HollandereProschan test
Modeling of influence with a gamma distribution and a log link
function was used for the evaluation of medical, social, and
eco-nomic factors, including the diagnosis form, severity of symptoms
and side effects, objective and subjective treatment outcome,
presence of bad habits, comorbidity, experience of use ofАМdrugs,
age, and professional occupation These models were also used for
controlling monthly and annual salary, their square, the percentage
of expenses for trospium and other drugs, their square, number of
sick leave days and their cost, and its square as well
Significance of difference of parameters between groups was
also controlled by regression models In some cases, the calculation
of the Spearman rank correlation coefficient was used for the
determination of relationship between the processes of parameter
changes
For the employees with different adherence levels (higher and
lower than 80%, lower than 50%) modeling of significance level for
the effect of different factors was performed separately
The differences were considered significant if p < 0.05; all p
values are two-sided
All statistical analyses were performed using SAS version 8.0.2
(SAS Institute Inc., Cary, NC)
2.5 Ethical principles
The principles of the Declaration of Helsinki were the priority in
development of the design and conducting of the experiment All
the patients of the experiment signed the informed consent prior to
the experiment The study design was approved by the local Ethics
Committee
3 Results
In total, the proportion of patients who were able to preserve
adherence to treatment were 70.6% during thefirst 3 months (1st
checkpoint), 54.4% during 6 months, and 35.5% at the end of the
experiment (2ndcheckpoint) The mean time of reaching a 30-day
break in trospium administration was 182 days
Table 1 provides some demographic, social, and economic
characteristics of patients in the experiment, with different levels of
adherence to treatment The mean age of the most adherent
pa-tients [56.3 (5.9)] proved to be higher than the age of the papa-tients
with moderate and low level of adherence to treatment with
trospium ( 0.05; 0.05) The percentage of healthcare or edu-cation employees was higher in the group with high treatment adherence (p 0.05; p 0.01) The percentage of retail employees was significantly lower in this group than in the group with mod-erate (p 0.05) and low (p 0.01) adherence levels Mean values of annual salary and monthly salary in the group with adherence level
of 80% were significantly higher than that in the group with moderate (p 0.05) and low (p 0.01) adherence levels The per-centage of monthly expenses for trospium in the group with high adherence was lower than that in the non-adherent group
Figure 1demonstrates increased patients’ adherence upon in-crease of their monthly salary and dein-crease of the percentage of expenses for trospium Analyzing the regression model of salary-adherence correlation, we found that the influence of annual salary and its square on patients’ adherence was direct and signif-icant (p 0.05; p 0.05) Evaluation of the effect of monthly salary share and the square of the percentage of expenses for trospium using the regression model allowed to establish that the possibility
of such effect is significant (p 0.05; p 0.05)
Regressions of the effect of age and professional occupation also showed acceptable confidence level (p 0.05; p 0.01) Regression models of other non-medical factors under study established sta-tistical homogeneity in the cohorts
At thefirst checkpoint, the score for RP, GH, SF, RE, and MN parameters was significantly lower in non-adherent patients than
in groups with high and moderate adherence level At the second checkpoint, the score for PF, RP, GN, SF, RE and MN parameters was significantly higher in the group of adherent patients than in other two groups
Table 2shows medical characteristics and health-related factors
in patients with different levels of adherence to treatment with trospium The percentage of adherent patients among patients diagnosed with UUI was significantly higher (56.1%) than patients with moderate (31.2%) and low (12.1%) adherence (p 0.01;
p 0.01, respectively) The percentage of patients with high and moderate adherence diagnosed with OAB (40.7% and 51.9%, respectively) was significantly higher (p 0.01; p 0.01) than that
of non-adherent patients with the same diagnosis (7.3%) The per-centage of adherent patients (56.1%) with severe incontinence (episode of UI 3/day) was significantly higher than that of pa-tients with moderate adherence level (31.2%; p 0.01) and non-adherent patients (12.2%; p 0.01) The percentage of patients with satisfactory efficacy of treatment among adherent patients was significantly higher than that of patients with moderate (p 0.05) and low (p 0.01) adherence level The number of adherent patients abusing caffeine was significantly lower than that of other groups (p 0.01; p 0.01) Values of the Charlson Comorbidity Index were statistically homogeneous in all groups Regression models of influence of the diagnosis, severity of symptoms, treatment efficacy, and treatment satisfaction were calculated for the groups of patients with poor, moderate, and high adherence Analyzing each adherence level, we compared the re-sults to each other It was found that the above factors have a
sig-nificant effect on the level of adherence to treatment with trospium among employees (p 0.01)
After analyzing the results of OABq-SF, we found that the values
of UUI of 1.1 (0.9) and night urination of 0.8 (0.7) in adherent pa-tients at the second checkpoint were significantly lower than those
in other groups of adherence (p 0.05; p 0.05) Mean scores for self-assessment of urination-related quality of life on the ICIQ-SF scale in patients with high adherence after the end of the experi-ment were significantly higher (lower scores) than in other groups (p 0.05; p 0.05) Analysis of the results of urodynamics evalu-ation with voiding diaries showed almost similar results According
to uroflowmetry data, in the group of adherent patients, bladder
K.V Kosilov et al / Urological Science xxx (2017) 1e8 4
Trang 5Table 1
< 50%
Adherence
50%, < 80% (n ¼ 430)
p
Field of activity:
Remark.
Table 2
< 50%
Adherence
50%, < 80% (n ¼ 430)
p
Bad habits:
AM¼ antimuscarinic agents; CP ¼ check point; EUI e episodes of urge incontinence; N ¼ number; OAB ¼ overactive bladder; SD ¼ standard deviation; UUI ¼ urge urinary
person.
checkpoint) of observation.
Trang 6volume and maximum urineflow rate characterizing accumulative
and evacuation functions have changed significantly The
percent-age of patients with < 80% adherence, in which episodes of
nocturnal incontinence (NI) and MI were observed, was 21.8%,
while the percentage of patients with 80% adherence proved to
be 1.4% At the same time, 7.8% of poorly adherent patients and 9.9%
of patients highly adherent to the physician’s orders were found
among the patients with UUI
Figure 2demonstrates a change of the percentage of patients
adherent to treatment, depending on the LUTS form for the whole
follow-up period Patients with UI were the most adherent to
treatment (56.1%) No significant differences between the
per-centage of adherent patients with UI and OAB were found The
correlation coefficient for these curves was r ¼ 0.86 (p 0.01) The
correlation coefficient between the curves, representing the change
in the percentage of adherent patients with MI and NI was r¼ 0.93
(p 0.01) After the 2nd month of follow-up, the percentage of
patients with UI adherent to the treatment was significantly higher
than that of adherent patients with MI and NI (p 0.01) Significant
differences between the percentage of adherent patients with OAB
on the one hand and MI and NI on the other hand appeared after
the 5thmonth of the experiment
The level of adherence to treatment is significantly higher in
patients with UUI 3/day after the 3rd month of follow-up
(p 0.05) The percentage of patients with UUI 3 decreased
smoothly during the whole follow-up period, while the percentage
of patients with moderate symptoms decreased dramatically from
the 2ndto 4-5thmonths The curves, describing the change of the
percentage of adherent patients, demonstrate the level of direct
correlation r¼ 0.6 (p 0.05)
The number of patients (43%) who indicated medical factors
(more than 80% of them were side effects and lack of the result)
were the highest Economic factors were crucial for 33% of patients
(more than 80% of them was the high cost of trospium and high
cumulative cost of purchased drugs) The percentage of
psycho-logical factors was 15% (more than a half of them were negative
experience of treatment with AMs) Also, 9% of patients stated
so-cial factors as a reason for refusal or long-term break in treatment
Dry mouth was the main reason for refusal or long-term break
in treatment in 6.3% of patients (the highest percentage was in the
group of patients with poor treatment adherence, 29.1%) The
sig-nificant percentage (5.1%) of refusals associated with side effects
was due to rash, itching, and xeroderma (the highest percentage
was also in the group of non-adherent patients, 7.9%) The
per-centage of patients who refused treatment because of these
symptoms differed significantly in the groups with different
adherence levels (p 0.05)
4 Discussion
This experiment showed that parameters such as elderly age,
belonging to the groups of education, and healthcare or retail
employees are the factors affecting patients’ adherence in following
physician prescriptions Patients’ adherence directly depends on
the size of their monthly salary and its percentage that is spent for
buying trospium A high level of salary and the small percentage of
expenses for trospium significantly increase patients’ adherence
We found that at the second checkpoint, patients with high
adherence assessed efficacy of PF, RP, RE, SF, VT, MH, and GH
significantly higher too Self-assessment of quality of life related to
urination disorders in adherent patients at the end of the
experi-ment was also significantly higher than that in other groups
Studying medical factors influencing the adherence, we
estab-lished that among the most adherent patients having followed all
prescriptions, the percentage of patients diagnosed with UUI
(56.1%) and OAB (40.7%), severe incontinence (65.5%), and with treatment efficacy confirmed by special questionnaires and instrumental methods was significantly higher According to the study, patients with NI and MI show poorer adherence to physi-cian’s orders than those who have UUI observed This fact is in conflict with data on high efficacy of trospium in all forms of
UI.12,14,25 However, there is a very high percentage of patients having severe symptoms (more than 3 episodes/day) among pa-tients with UUI In turn, papa-tients with severe UI symptoms are the most adherent to drug administration Only 6.5% of individuals with NI and MI were found among the patients having severe UI symptoms, while others were diagnosed with UUI Thus, the ma-jority of patients with NI and MI had relatively a small number of incontinence episodes, which, in our opinion, could affect their behavior and did not contribute to high adherence to physician’s orders Urodynamic state of the lower urinary tract according to the data of uroflowmetry, voiding diaries, and OABq-SF changed the most significantly in majority of parameters (8 of 11) in the cohort
of patients who were most adherent to treatment It was found that the current treatment outcome affects patients’ adherence directly The percentage of patients adherent to treatment but not satisfied with its results was significantly lower after the 3rd month of follow-up than that of patients who were partially or completely satisfied with the results There were also fewer patients with caffeine abuse among adherent patients Dry mouth and itching became the reason for treatment refusal in 6.3% and 5.1% of pa-tients, respectively
According to patients’ self-assessment of reasons for refusal or long-term break in treatment, the principal factors were medical (including pharmacological) and economic ones More than 76% of patients stated these factors Social and psychological factors comprised about 24% of answers
Regression models allowed to determine the effect of some economic (annual and monthly salary, their square, and square of the percentage of expenses for trospium), sociological (age, pro-fessional occupation), and medical (treatment efficacy and satis-faction, side effects, the urination disorder form, severity of symptoms, and caffeine abuse) factors on patients’ adherence to treatment with trospium
Therefore, according to data obtained, the maximum probability
to preserve adherence to treatment with trospium during a year was observed in the elderly patients, who are education or healthcare employees, having a high salary and low percentage of expenses for trospium in the share of expenses, diagnosed with UUI
or OAB, with severe incontinence symptoms, with objectively high
efficacy of treatment administered and high self-assessment of its results, not experiencing side effects during treatment, and not abusing caffeine
These results are consistent, in general, with data of other au-thors, who refer to prevalent significance of medical factors in adherence to treatment with trospium Particularly, according to their data, the average period for the refusal of treatment with AM drugs is 159 days, and the percentage of“survival” of adherence to treatment during 2 years of follow-up is less than 8%.34According
to our data, the average period of reaching a 30-day break is 182 days, which is almost similar with that value but characterizes trospium particularly There are some data available in literature on unusually high level of adherence to treatment with trospium compared to other AM drugs.25
There is information available about treatment discontinuation due to unsatisfactory results and side effects in 89% of patients However, according to our data, only 14.5% of patients refused treatment with trospium or discontinued it because of intolerable side effects Many researches consider dry mouth, constipation, headache, and blurred vision as the most frequent adverse
K.V Kosilov et al / Urological Science xxx (2017) 1e8 6
Trang 7symptoms, resulting in the refusal of treatment withАМs.21
Ac-cording to our data, symptoms such as rash, itching, and xeroderma
(refusal of treatment in 5.1% of 13.2% patients), and dry mouth
(refusal of further treatment in 6.3% of 12.1% patients) were
re-ported most frequently throughout the sample Probably, the
un-common configuration of adverse effects is associated with the fact
that the trospium molecule does not penetrate through the
bloodebrain barrier and does not affect the central nervous system
compared with other AMs
Some neurourologic studies provide information that adherence
of elderly patients is greater than perseverance in cohorts of young
and middle-aged patients For example, adherence in the age group
of 18e39 years is 20.9% and that in the age group of 70 years and
older is more> 70% Our data support the conclusion that the mean
age of the most persevering patients is 56.3 years Probably, this can
be explained with greater motivation, financial capability, and
severity of symptoms in middle-aged patients On the contrary,
some investigators suggest that the adherence decreases due to
increased comorbidity in elderly individuals.14
There are some data in literature sources on influence of factors,
such as paying capacity, the mean cost ofАМdrugs, duration of
short-term disability leave, and absence at work due to sick leave,
on adherence in patients receiving anticholinergic drugs in the
cohort with adherence 80%.24In our study, we also found
cor-relation between monthly expenses for trospium and other drugs,
purchased for treatment of comorbid conditions, level of annual
and monthly salary, and patients’ adherence However, in contrast
with the above source, according to our data, parameters such as
disability cost, sick leave cost, sick leave days, constant work, full
working day, employee turnover, and tenure (years with
em-ployers) in cohorts with different adherence levels have no
signif-icant differences Probably, this inconsistency can be explained by
the use of different methodological approaches: in the above study,
they used the method of retrograde analysis and account of drug
administration based on prescriptions, while we preferred the
design of prospective randomized observation with another
stan-dard of parameter recording Increased adherence level is also
observed in case of free provision of AM drugs, which is indirectly
consistent with the data obtained in our experiment
In general, our data does not differ from the already known
results However, in our experiment, we have used a
comprehen-sive approach to study the issue trying to compare the significance
of heterogeneous factors affecting patients’ adherence We tried to
compare the significance of heterogeneous factors, such as medical,
economic, and social ones, using standardized procedures,
ques-tionnaires, and highly specialized methods, thereby making the
analysis more objective During a year, we observed a large cohort
of patients receiving trospium; this allowed us to monitor, analyze,
and compare the significance of different factors in dynamics
Surely, the results we obtained are not conclusive; however, we
believe that they may be of certain interest for practicing urologists,
particularly, for the prediction of adherence to treatment with
trospium in cohorts with different social, economic, and medical
characteristics
5 Limitations
We have not studied all the factors that can affect patients’
adherence The factors preceding the beginning of the experiment,
such as duration of the disease, duration and efficacy of treatment
with other AM agents, use of non-medicinal methods of treatment,
duration of comorbid conditions, and their treatment efficacy,
remain beyond the scope of our study The severity of urodynamic
disorders was monitored using voiding diaries, OABq-SF
ques-tionnaire, and uroflowmetry, which imposed some limitations on
diagnostic accuracy Additional patients’ income, income of their families, and expenses apart from purchase of the drugs were not studied The analysis of adherence to treatment regarding other AM drugs, including prolonged-release agents, and other ways of LUTS treatment were not included in the scope of this study In our calculations, we did not consider the correlation between the cost
of trospium and other drugs, purchased by patients, the percentage
of these expenses in overall expenses of the patient and his family
We excluded patients aged < 18 years and > 60 years from the study The study of influence of some factors variability in case of changes in some other parameters was not included in the protocol
as well
All these issues still require further consideration and would probably become a subject for our further studies
6 Conclusion
This study has demonstrated that some medical, social, and economic factors affect the adherence to treatment with trospium
to some extent
There were 56.1% of patients diagnosed with UUI and 40.7% with OAB, 56.1% patients with severe symptoms of incontinence, 25.3% with high treatment efficacy confirmed instrumentally, 57.5% of patients satisfied with treatment outcome, and only 5.5% patients refused treatment due to side effects among patients in the group with adherence level 80% The percentage of patients in the group with high adherence to treatment differed significantly in these parameters from the groups with moderate and poor adherence The mean age of the patients in the adherent group was 56.3 years This group included 25.0% of education employees, 32.5% of healthcare employees (significantly higher than in other groups), and 7.8% of retail employees (significantly lower than in other groups) The monthly and annual salary was significantly higher and the percentage of expenses for trospium and other drugs was significantly lower of adherent patients than the patients in other groups Patients from the group with high adherence at the end of treatment assessed health-related quality of life significantly higher The distribution of reasons for the refusal of treatment based on subjective patients’ reports did not significantly differ from the percentage of refusals obtained using questionnaires and objective study methods
This study provides evidence of potential possibility to predict adherence during treatment with trospium and, probably, to manage the treatment efficacy
Conflicts of interest There are no conflicts of interest among the authors
References
1 Irwin D, Kopp Z, Agatep B, Milsom I, Abrams P Worldwide prevalence esti-mates of lower urinary tract symptoms, overactive bladder, urinary inconti-nence and bladder outlet obstruction BJU Int 2011;108:1132e8
2 Coyne K, Zyczynski T, Margolis MK, Elinoff V, Roberts RG Validation of an overactive bladder awareness tool for use in primary care settings Adv Ther 2005;22:381e94
3 Sexton CC, Coyne KS, Thompson C, Bavendam T, Chen CI, Markland A Preva-lence and effect on health-related quality of life of overactive bladder in older Americans: results from the epidemiology of lower urinary tract symptoms study J Am Geriatr Soc 2011;59:1465e70
4 Coyne KS, Margolis MK, Kopp ZS, Kaplan SA Racial differences in the preva-lence of overactive bladder in the United States from the epidemiology of LUTS (EpiLUTS) study Urol 2012;79:95e101
5 Coyne KS, Sexton CC, Bell JA, Thompson CL, Dmochowski R, Bavendam T, et al The prevalence of lower urinary tract symptoms (LUTS) and overactive bladder (OAB) by racial/ethnic group and age: results from OAB-POLL Neurourol Urodyn 2013;32:230e7
Trang 86 de Ridder D, Roumeguere T, Kaufman L Overactive bladder symptoms, stress
urinary incontinence and associated bother in women aged 40 and above; a
Belgian epidemiological survey Int J Clin Pract 2013;67:198e204
7 Alves AT, Jacomo RH, Gomide LB, Garcia PA, Bontempo AP, Karnikoskwi MG.
Relationship between anxiety and overactive bladder syndrome in older
women Rev Bras Ginecol Obstet 2014;36:310e4
8 Coyne KS, Sexton CC, Thompson C, Kopp ZS, Milsom I, Kaplan SA The impact of
OAB on sexual health in men and women: results from EpiLUTS J Sex Med
2011;8:1603e15
9 Coyne KS, Wein A, Nicholson S, Kvasz M, Chen CI, Milsom I Economic burden of
urgency urinary incontinence in the United States: a systematic review.
J Manag Care Pharm 2014;20:130e40
10 Coyne KS, Sexton CC, Thompson CL, Clemens JQ, Chen CI, Bavendam T, et al.
Impact of overactive bladder on work productivity Urol 2012;80:97e103
11 Wu EQ, Birnbaum H, Marynchenko M, Mareva M, Williamson T, Mallett D.
Employees with overactive bladder: work loss burden J Occup Environ Med
2005;47:439e46
12 Andersson KE Antimuscarinics for treatment of overactive bladder Lancet
Neurology 2004:46e53
13 Andersson KE New developments in the management of overactive bladder:
focus on mirabegron and onabotulinumtoxinA Ther Clin Risk Manag 2013;9:
161e70
14 Mauseth SA, Skurtveit S, Spigse TO Adherence, persistence and switch rates for
anticholinergic drugs used for overactive bladder in women: data from the
Norwegian Prescription Database Acta Obstet Gyn Scand 2013;92:1208e15
15 Kosilov K, Loparev S, Ivanovskaya M, Kosilova L Effectiveness of combined
high-dosed trospium and solifenacin depending on severity of OAB symptoms
in elderly men and women under cyclic therapy Cent European J Urol 2014;67:
43e8
16 Kosilov K, Loparev S, Ivanovskaya M, Kosilova L Randomized controlled trial of
cyclic and continuous therapy with trospium and solifenacin combination for
severe overactive bladder in elderly patients with regard to patient
compli-ance Ther Adv in Urol 2014;6:215e23
17 Kosilov KV, Loparev SA, Ivanovskaya MA, Kosilova LV Comparative
effective-ness of combined high-dosed Trospium and Solifenacin for severe OAB
symptoms in age-related aspect Int J Urol Nurs 2015;9:108e13
18 Veenboer PW, Bosch JL Long-term adherence to antimuscarinic therapy in
everyday practice: a systematic review J Urol 2014;191:1003e8
19 Basra RK, Wagg A, Chapple C, Cardozo L, Castro-Diaz D, Pons ME, et al A review
of adherence to drug therapy in patients with overactive bladder BJU Int
2008;102:774e9
20 Benner JS, Nichol MB, Rovner ES, Jumadilova Z, Alvir J, Hussein M, et al Patient-reported reasons for discontinuing overactive bladder medication BJU Int 2009;105:1276e82
21 Oefelein MG Safety and tolerability profiles of anticholinergic agents used for the treatment of overactive bladder Drug Saf 2011;34:733e54
22 Yeaw J, Benner JS, Walt JG, Sian S, Smith DB Comparing adherence and persistence across 6 chronic medication classes J Manag Care Pharm 2009;15: 728e40
23 Brostrøm S, Hallas J Persistence of antimuscarinic drug use Eur J Clin Parmacol 2009;65:309e14
24 Kleinman NL, Odell K, Chen CI, Atkinson A, Zou KH Persistence and adher-ence with urinary antispasmodic medications among employees and the impact of adherence on costs and absenteeism J Manag Care Pharm 2014;20: 1047e56
25 Biastre K, Burnakis T Trospium chloride treatment of overactive bladder Ann Pharmacother 2009;43:283e95
26 Thüroff JW, Abrams P, Andersson KE, Artibani W, Chapple CR, Drake MJ, et al EAU guidelines on urinary incontinence Eur Urol 2011;59:387e400
27 Coyne K, Thompson C, Lai J, Sexton C An overactive bladder symptom and health-related quality of life short-form: validation of the OAB-q SF Neurourol Urodyn 2015;34:255e63
28 Yang M, Wang H, Wang J, Ruan M Impact of invasive bladder cancer and orthotopic urinary diversion on general health-related quality of life: an SF-36 survey Mol Clin Oncol 2013;1:758e62
29 Seckiner I, Yesilli C, Mungan NA, Aykanat A, Akduman B Correlations between the ICIQ-SF score and urodynamic findings Neurourol Urodyn 2007;26:492e4
30 Jin J, Sklar GE, Oh VM, Li SC Factors affecting therapeutic compliance: a review from the patient's perspective Ther Clin Risk Manag 2008;4:269e86
31 Cano-Marquina A, Tarín JJ, Cano A The impact of coffee on health The Eur Menop Journ 2013;75:7e21
32 Raupach T, Brown J, Herbec A, Brose L, West R A systematic review of studies assessing the association between adherence to smoking cessation medication and treatment success Addiction 2014;109:35e43
33 Saunders JB, Aasland OG, Babor TF, de la Fuente JR, Grant M Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO Collaborative Project on Early Detection of Persons with Harmful Alcohol Consumption-II Addiction 1993;88:791e804
34 Chancellor MB, Migliaccio-Walle K, Bramley TJ, Chaudhari SL, Corbell C, Globe D Long-term patterns of use and treatment failure with anticholinergic agents for overactive bladder Clin Ther 2013;35:1744e51
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