Abstract
Objective: To explore the long-term drug treatment willingness and influencing factors of
endometriosis. Method: The information was collected from 200 endometriosis patients who were
admitted to the gynecology clinic and ward of Shaanxi Provincial People’s Hospital from June 2019 to
December 2020. Data was analyzed by univariate and multivariate logistic regression analysis. The
influence of age, education level, diagnosis method, pre-treatment pain score, cyst diameter, EMs disease
cognition and monthly treatment cost, pain relief satisfaction after treatment, drug toxicity tolerance and
drug use method on the willingness and duration of long-term drug treatment was investigated. Results:
The results of multivariate logistic regression analysis showed that diagnostic methods (OR = 0.304, 95%
CI 0.127 - 0.728), pre -treatment pain score (OR = 1.415, 95% CI 1.237 - 1.620) and EMs disease
cognition (OR = 1.058, 95% CI 1.030 - 1.087) were the main factors affecting the treatment willingness
of EMs patients, and the drug use method was a key factor affecting the treatment duration (P<0.05).
Conclusion
In the future, the adequate health education should be given to the EMs patients to promote
their cognitive level of disease and recognition of diagnostic methods. At the same time, patient s’
preferences for treatment measures should be combined to improve their long- term drug treatment
willingness.
Keywords
Endometriosis, long-term drug treatment, treatment willingness, influencing factor
1. Introduction
Endometriosis (EMs) is one of the comm on gynecological diseases, about 10% of women of
childbearing age worldwide are involved, and its incidence has been increasing in recent years [1-3].
Although EMs is a benign disease, it has tumor properties such as invasion, dissemination, metastasis
and recurrence, and also has malignant potential[4, 5]. At present, surgery is the main treatment for EMs,
but conservative surgery is usually difficult to cure. Therefore, drug therapy is an important adjuvant
therapy for EMs, and patients need long -term management after surgery. However, there is no mature
and standardized long -term management plan in this regard at home and abroad. In this study, the
cognition of EMs and its treatment and the willingness and needs for treatment were obtained by health
education and questionnaire. On this basis, the willingness and influencing factors of patients for long -
term drug treatment were explored, which can provide the basis for future clinical practice.
2. Object and Methods
2.1. Object
The EMs patients who were admitted to the gynecological clinic and ward of Shaanxi Provincial
People’s Hospital from June 2019 to December 2020 were selected as subjects. Patients who meet the
criteria were enrolled in this study: women in adolescence, childbearing age and perimenopause who
were suggested EMs cyst by B-ultrasound or MRI, with dysmenorrhea with painful nodules of posterior
vaginal vault, or with sexual intercourse pain or post -sexual intercourse pain with painful tubercle of
posterior vaginal dome, or EMs confirmed by laparoscopic exploration. The following patients were
excluded: those of pelvic lump suggested by B-ultrasound or MRI and EMs being excluded after repeated
reexamination, those of tumor malignancy suspected with the elevation of marker CA125 and HE4, those
who cannot cooperate with health education and questionnaires due to various reasons.
International Journal of Frontiers in Medicine
ISSN 2706-6819 V ol.4, Issue 9: 1-5, DOI: 10.25236/IJFM.2022.040901
Published by Francis Academic Press, UK
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2.2. Methods
A qualitative research was conducted to enlist EMs patients diagnosed by clinical diagnosis and
postoperative diagnosis. The patients were given health education, and the questionnaires before and
after the education and review after six months were collected. After that, the relationship between the
basic information (including age, educational level, diagnostic methods, pre -treatment pain score, cyst
diameter and EMs disease cognition), monthly treatment cost, satisfaction of pain relief after treatment,
tolerance of drug side effects, and drug use methods and patients’ treatment willingness and treatment
duration were analyzed. Then the status of each factor in the willingness and persistence of long- term
drug treatment of EMs patients was evaluated.
2.3. Satistical Method
The data were processed by SPSS 25.0 software. The factors affecting treatment willingness and
treatment duration were screened separately by univariate logistic regression, and the variables with P <
0.05 were included in the multiva riate logistic regression model. Then the main factors affecting
treatment willingness and treatment duration were analyzed by step method.
3. Results
3.1. General Data
A total of 200 EMs patients were investigated, and all of them completed the questionnaire. The data
of patients before long-term drug treatment were analyzed, including age, educational level, diagnostic
methods, pre-treatment pain score, cyst diameter and EMs disease cognition, as shown in Table 1.
Table 1: Basic information of research objects
Item (n=200)
age (year, x ±s) 34.15 ± 7.646
educational level (number, %)
primary school 12 (6)
junior high school 25 (12.5)
high school 45 (22.5)
undergraduate ( including college ) 76 (38)
master 27 (13.5)
doctor 15 (7.5)
diagnostic method (number, %)
pathological diagnosis 50 (25)
clinical diagnosis 150 (75)
pre-treatment pain score (score, x ± s) 5.03 ± 2.703
cyst diameter (score, x ± s) 43.45 ± 7.204
EMs disease cognition (score, x ± s) 31.62 ± 14.477
3.2. Logistics Regression Analysis of Factors affecting Patients’ Treatment Willingness
Table 2: Analysis of factors influencing treatment willingness
Factors Univariate logistic regression analysis multivariate logistic regression analysis
OR (95% CI) P value OR (95% CI) P value
age 1.019 (1.011-1.028) 0.000 0.980 (0.942-1.020) 0.332
education level 1.231 (1.111-1.363) 0.000 0.915 (0.694-1.205) 0.527
diagnosis method 1.632 (1.173-2.260) 0.004 0.304 (0.127-0.728) 0.008
pre-treatment pain score 1.209 (1.138-1.284) 0.000 1.415 (1.237-1.620) 0.000
cyst diameter 1.016 (1.009-1.022) 0.000 0.981 (0.945-1.018) 0.306
EMs disease cognition 1.027 (1.018-1.037) 0.000 1.058 (1.030-1.087) 0.000
monthly treatment cost (RMB) 0.000 0.902
≤300(ref) 1.000 1.000
300-500 2.000 (1.290-3.100) 0.002 1.051 (0.448-2.466) 0.908
500-1000 2.263 (1.319-3.883) 0.003 1.229 (0.474-3.188) 0.672
International Journal of Frontiers in Medicine
ISSN 2706-6819 V ol.4, Issue 9: 1-5, DOI: 10.25236/IJFM.2022.040901
Published by Francis Academic Press, UK
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Univariate logistic regression analysis was performed on all the seven related factors, such as age,
education level, diagnosis method, pre -treatment pain score, cyst diameter, EMs disease cognition and
monthly treatment cost, which may affect the treatment willingn ess of the investigated objects. The
Results
showed that the seven factors included in the statistics were all related to the treatment willingness
of EMs patients. Furthermore, multivariate logistic regression analysis was performed on the seven
factors, and the results showed that diagnostic methods (OR = 0.304, 95% CI 0.127 - 0.728), pre -
treatment pain score (OR = 1.415, 95% CI 1.237 - 1.620) and EMs disease cognition (OR = 1.058, 95%
CI 1.030 - 1.087) were the main factors affecting the treatment willingness of EMs patients, as shown in
Table 2.
3.3. Logistics Regression Analysis of Factors affecting Patient Treatment Duration
According to the treatment duration, the subjects were divided into persistent long -term drug
treatment group (≥ 3 months) and non- long-term treatment group (0 -3 months, including the patients
who refused drug treatment). With this as the dependent variabl e, univariate logistic regression and
multivariate logistic regression were performed on the 10 factors of age, education level, diagnosis
method, pre-treatment pain score, cyst diameter, EMs disease cognition, monthly treatment cost, pain
relief satisfaction after treatment, drug toxicity tolerance and drug use method. The results showed that
the drug use method was a key factor affecting the treatment duration (P<0.05), while the other 9 factors
had no statistically significant effect on the treatment duration, as shown in Table 3.
Table 3: Analysis of factors influencing treatment duration
Factors Univariate logistic regression analysis multivariate logistic regression analysis
OR (95% CI) P value OR (95% CI) P value
age 0.988 (0.980-0.996) 0.004 1.038 (0.999-1.078) 0.058
education level 0.839 (0.759-0.927) 0.001 0.894 (0.703-1.135) 0.357
diagnosis method 0.630 (0.454-0.876) 0.006 1.006 (0.508-1.994) 0.986
pre-treatment pain score 0.933 (0.888-0.981) 0.007 1.024 (0.915-1.146) 0.679
cyst diameter 0.989 (0.982-0.995) 0.001 0.976 (0.944-1.010) 0.164
EMs disease cognition 0.990 (0.982-0.998) 0.016 1.011 (0.990-1.302) 0.304
monthly treatment cost (RMB) 0.042 0.218
≤300(ref) 1.000 1.000
300-500 0.920 (0.522-1.621) 0.773 1.739 (0.782-3.871) 0.175
500-1000 0.579 (0.377-0.889) 0.012 0.904 (0.438-1.865) 0.785
pain relief satisfaction after
treatment 0.660 (0.484-0.901) 0.009 1.609 (0.722-3.584) 0.245
drug toxicity tolerance 0.557 (0.358-0.805) 0.002 0.663 (0.355-1.239) 0.198
drug use method 0.002 0.049
long-term oral(ref) 1.000 1.000
intermittent oral 0.410 (0.229-0.734) 0.003 0.209 (0.070-0.626) 0.005
subcutaneous injection 0.651 (0.405-1.048) 0.077 0.320 (0.110-0.928) 0.036
intrauterine placement 0.606 (0.348-1.056) 0.077 0.325 (0.111-0.953) 0.041
4. Discussion
EMs is a chronic disease that can cause painful symptoms (such as dysmenorrhea, chronic pelvic pain)
and infertility, and some patients even have a series of mental symptoms (such as depression and anxiety),
which seriously affect the life quality of patients [6-8]. In recent years, drug maintenance in the EMs
treatment to control pain and prevent recurrence has been respected, and an expert consensus has been
reached [9, 10]. Meanwhile, guidelines for the diagnosis and treatment of EMs have been issued in China
[10]. At Present, the long -term management principle of EMs is clinical problem -oriented, patient-
centered, age-stage treatment and comprehensive treatment [11]. Therefore, understanding the willingness
and influencing factors of long -term drug treatment for EMs is conducive to the implementation of
targeted interventions and obtaining satisfactory treatment effects.
In this study, a total of 200 EMs patients were investigated. Through the logistic regression analysis
of seven related factors that may affect the treatment willingness of the investigated objects, it was found
that the diagnostic method is a crucial factor affecting the willingness of patients to receive long -term
drug treatment. The possible reason is that the diagnostic method directly det ermines the patient’s
judgment on the accuracy of disease diagnosis, and the higher the patient’s inner recognition of the
disease state is, the easier it is to accept treatment. Meanwhile, the stronger the ability to overcome
International Journal of Frontiers in Medicine
ISSN 2706-6819 V ol.4, Issue 9: 1-5, DOI: 10.25236/IJFM.2022.040901
Published by Francis Academic Press, UK
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various difficulties encountered in disease treatment, the more able to adhere to long-term drug treatment.
The pre-treatment pain score is another major factor affecting the treatment willingness, the possible
reason is that the pain score is closely related to the direct feelings o f patients. And the higher the pre -
treatment pain score, the more intense the physical and mental distress caused by the disease, which
drives the patients to actively seek treatment and change passive treatment to active treatment. In addition,
EMs disease cognition is another major factor that affecting patients’ treatment willingness. This is
because the full understanding of EMs disease can enable the patients to predict in advance the serious
consequences that caused by non -standard and not timely trea tment, so as to understand the treatment
advice given by the doctor in charge. Then the patients can actively respond to the treatment plan and
consciously form a united front with doctors to fight against the disease.
Furthermore, through the statistical analysis of the data of the two groups of patients who adhere to
the long-term drug treatment group (≥ 3 months) and the non-long-term treatment group (0-3 months), it
is found that the drug use method is the key factor affecting the treatment duration, and the difference is
statistically significant ( P < 0.05). Among them, long- term oral is the most acceptable treatment for
patients, which is easier to adhere to for a long time, while the other three methods of intermittent oral,
subcutaneous injection and intrauterine placement are shorter than long -term oral. The reason may be
that long-term oral therapy is accurate, with mild side effects and easy to form a daily regular medication
habit, and it is easy to adhere to. The common drugs for intermittent oral therapy, such as pain relievers
and traditional Chinese medicines, have relatively poor efficacy. And they are often used after patients
with symptoms, which may easily give patients the impression of poor efficacy, and the treatment is
easily interrupted. The subcutaneous injection drugs are mainly GnRH -a drugs
[12], which often have
obvious menopause symptoms and osteoporosis, and obvious discomfort are caused. Intrauterine
placement of drugs (Miren a) often causes persistent spotting, which affects life and causes anxiety in
patients.
Usually, the pain relief satisfaction after treatment and monthly treatment cost are also important
factors that affect whether patients can receive long -term treatment, but this conclusion is not reflected
in the study. The possible reason is that the pain relief was roughly divided into two groups of satisfactory
and unsatisfactory in the study, which affects the research precision to some extent. Moreover, regarding
the monthly treatment cost, patients pay more attention to the treatment effect.
Authors’ contributions
Jialan Chen contributed to the data collection and manuscript writing. Qinfeng Liu contributed to the
data collection and data analysis. Fan Wang contributed to the data collection. Xin Shen helped perform
the data analysis. All authors have read and approved the manuscript.
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