1. Introduction
Infertility is defined as the failure to establish a clinical pregnancy after 1 year of regular unprotected sexual intercourse or due to a fertility impairment of the individual or their partner [
1]. It is a common condition affecting approximately 15% of the global population, with its age-standardized prevalence rate on the rise [
2]. Infertility is a potential public health issue because it can cause disability, leads to relationship problems, and threaten community well-being [
3,
4]. Additionally, about 13.5% of Korean women of childbearing age suffer from infertility, with many experiencing mental health issues such as depression [
5].
The introduction of assisted reproductive technology (ART) has increased pregnancy success rate in patients with infertility, leading to a rise in global demand for ART [
6]. Since 2006, the Korean government has provided medical support for ART to address the country’s ultra-low birth rate [
7]. However, in vitro fertilization (IVF), a common ART procedure, has adverse effects, including ovarian hyperstimulation syndrome, multiple pregnancies, severe maternal morbidity, and increased preterm birth, cerebral palsy, and infant mortality [
1,
8,
9]. Addressing the unmet emotional and physical needs of patients during ART is crucial [
6,
10], and the high cost of IVF poses a societal burden [
11].
The demand for Korean medicine (KM) has been steadily increasing for treating infertility, either alone or as an adjuvant to ART. KM helps regulate hormones to promote reproductive health [
12,
13], and is used globally for subfertility treatment [
13,
14]. In Korea’s dualized medical system, KM is widely used for infertility treatment. Despite the lack of central government support [
15], local government projects supporting infertile couples with KM have shown high satisfaction, and increasing demand for central government support [
16,
17,
18].
However, previous surveys on satisfaction and demand were conducted among project participants familiar with KM, which may result in outcomes favorable to KM. Furthermore, since there were no surveys targeting the general population, there is lack of research on the reasons and decision factors for choosing KM among women with subfertility, as well as their satisfaction with it.
Therefore, this study aims to investigate the correlation between the experience and satisfaction of using KM and the intention to use KM in the future among women with poor pregnancy outcomes, to inform future policy development. We conducted a survey exclusively targeting women who have difficulty conceiving, focusing on obtaining relatively accurate information about the subfertile women population. The survey provides comprehensive information, including trends and utilization of subfertility treatments, factors influencing their use, satisfaction levels, and willingness to participate in a future government-supported KM subfertility treatment program.
2. Materials and Methods
2.1. Survey Design and Study Sample
The data for this study was collected through a survey on Korean women's perceptions of subfertility. The survey participants were women who had not become pregnant despite having regular sexual intercourse for a specified period (1 year for those under 35 years old and 6 months for those 35 years or older), and were registered with an online survey company. The survey was conducted over 6 days, from November 3 to November 8, 2021, with e-mails sent to 29,465 individuals. Of these, 4,922 accessed the e-mails, and 601 responded. Among the non-responders, 4,251 were ineligible, and 70 individuals discontinued their responses midway. Out of the 601 respondents, 550 were included in the final analysis, after excluding 51 responses that showed insufficient effort that were answered in straight lining (i.e., answering a series of questions in the same way, like marking all answers in a straight line down a column)[
19].
This study did not involve direct manipulation of humans for research purposes, did not target specific research subjects, and did not collect sensitive information. Consequently, it was approved for exemption from review by the Institutional Review Board (IRB) of Pusan National University Korean Medicine Hospital (PNUKHIRB 2021-10-016).
2.2. Development of the Survey Form
Based on the results of previous studies [
15], a draft questionnaire was developed, and evaluated for a facial validity by 10 women from the general population. Subsequently, two KM professors specializing in obstetrics and gynecology reviewed and revised the questionnaire. The survey method used was a self-reported online panel survey, consisting two main parts: the first part gathered information about the respondents, while the second part contained questions related to conventional medicine and KM treatment. The questions about respondent information included sex, age, experience in planning pregnancy and subfertility, marital status, pregnancy experience, educational level, height, weight, average monthly household income, occupation, and area of residence. The questions related to KM treatment covered experiences and satisfaction with KM treatment and willingness to participate in the central government's Korean Medicine Support Project for Subfertility. The conventional medicine treatments mentioned included ovulation induction (administration of clomiphene citrate), ART (in vitro fertilization or intrauterine insemination), and surgical treatment.
2.3. Statistical Analyses
For the descriptive analysis, the t-test and chi-square test (χ2-test) were used to understand the overall characteristics of the participants and to identify the factors affecting the utilization of KM treatment and its satisfaction. For a more detailed analysis adjusting for potential confounders, logistic regression analysis was performed to evaluate the factors influencing the intention to participate in the KM Subfertility Support Program. The data were analyzed using IBM SPSS Statistics 21 (IBM Corp., Armonk, NY, USA), and R version 4.2.1, with the significance level was set at 5%.
3. Results
3.1. Characteristics of Respondents According to Their Experience of KM Treatment
The results of the cross-analysis between the demographic factors and KM are presented in
Table 1. Of the 550 women who participated in the survey, 83.5% (n=459) had no experience with KM treatment, while 16.5% (n=91) had experience. Among those who had never received conventional treatment, 10.2% (n=32) had experience with KM treatment. Conversely, among those who had experience with conventional treatment, 24.9% (n=59) also had experience with KM treatment. There were significantly more individuals who had experienced with subfertility treatment in both conventional medicine (CM) and KM (P=0.00).
3.2. Characteristics of Respondents According to Satisfaction with KM Treatment
A subgroup analysis was conducted targeting only respondents who reported having experience with KM treatment to identify factors affecting satisfaction. The 91 participants were classified into a high satisfaction group (n=36, 39.6%) and a low satisfaction group (n=55, 60.4%) (
Table 2). The high satisfaction group was defined as those who were “satisfied with the KM treatment” when the response was “high (n=32)” or “very high (n=4).” The low satisfaction group was defined as those who were “insufficiently satisfied with the KM treatment” when the response was “normal (n=40),” “low (n=14),” or “very low (n=1).”
The proportion of women with high satisfaction was significantly higher among those who were pregnant but had no childbirth experience and those who had more than one childbirth experience compared to women who had no pregnancy experience (P=0.00).
Regarding the willingness to participate in the Korean Medicine Support Project for Subfertility, the intention to participate was significantly higher in the group with high satisfaction with KM treatment (P=0.01).
The concurrent use of other CM treatments and the diagnosis of subfertility had no significant effect on satisfaction with KM treatment.
3.3. Factors Affecting Intention to Participate in KM Subfertility Support Program
Table 3 shows the factors influencing the intention to participate in the KM Subfertility Support Program, based on logistic regression analysis of all survey participants. Through this analysis, it will be possible to identify population groups likely to accept the expansion of Subfertility Support Program to KM in the future. The result indicates that having a graduate school education (master's degree) significantly increases the willingness to participate in the KM Subfertility Support Program (Coef. ± S.E. = 1.09 ± 0.41, Odds ratio = 2.99, Z value = 2.63, P = 0.01). Conversely, women with more than one childbirth experience showed significant lower willingness to participate in the program compared to women with no pregnancy experience (Coef. ± S.E. = -0.78 ± 0.28, Odds ratio = 0.46, Z value = -2.80, P = 0.01).
4. Discussion
In this study, 15.6% of the 550 respondents had experience with subfertility therapies in KM. Among the respondents, 10.2% of women who had no experience with subfertility treatment in conventional medicine clinics visited KM clinics. Approximately 24.9% of subfertile female patients undergoing treatment in conventional medicine opted for co-treatment in KM clinics, a statistically significant difference (P=0.00).
This discrepancy might be because KM therapies could alleviate the undesirable symptoms that occur during conventional medical treatments. For instance, one study proposed that acupuncture is effective in controlling anxiety in subfertile women [
20]. Moreover, the results reflect the expectation of subfertile women that the co-administration of integrative medicine treatments might be more effective than a singular approach. Several studies support this expectation, suggesting that combination treatment with KM treatment could be an encouraging way to treat female subfertility [
21,
22,
23].
The proportion of women who reported being satisfied was significantly higher among those who had experienced pregnancy and childbirth compared to those who had never been pregnant (P=0.01). This could be interpreted as possibly due to achieving pregnancy through KM treatment. Women with various reproductive problems experience showing significant satisfaction with integrative medicine, which is eco-friendly and reduces side effects. KM can improve the mental health of infertile female patients undergoing treatment by encouraging normal sexual activities [
20]. KM is a holistic approach to managing overall health, including reproductive health [
11]. Therefore, many infertile women seek integrative medicine services. Traditionally, KM is widely used for infertile treatment in Korea, and many infertile couples recognize that KM is effective and safe for infertile treatment [
24,
25]. A nationally conducted survey in Korea showed that 58.3–63.3% of infertile females underwent several KM therapies before receiving ART [
26]. Since KM has been used for a long time, there is a perception that it is safe and effective, leading women to seek KM when they encounter pregnancy problems. This positive perception is thought to have influenced the high level of satisfaction among those who succeeded in pregnancy and childbirth through KM treatment.
The intention to participate in the Korean Medicine Support Project for Infertility was generally high regardless of satisfaction (62.6%), and the group with high satisfaction with KM treatment showed a significantly higher intention to participate in the program than the unsatisfied group (P=0.01).
Lastly, the results of a logistic regression analysis of factors affecting the willingness to participate in ‘KM Infertility Support Program’ for all women showed that women with a master's degree or higher and women with no pregnancy experience had significantly higher willingness to participate. Therefore, in the future, it can be expected that the participation of women with no experience of pregnancy or childbirth will be high. This also suggests that the expansion of infertility programs in the future may be highly acceptable to highly educated women, especially women who have no experience of pregnancy. It appears that women with a master's degree or higher are expected to be older compared to other groups (college graduates or below), which is believed to have influenced their intention to participate in the program. As age increases, fertility declines, making it a major factor in increasing infertility rates [
27]. However, it was found that there was almost no difference in the intention to participate in the program between the group aged 34 and younger and the group aged 35 and older (p=0.98), suggesting the need for additional research.
Based on the results of this study, additional research is needed to identify the relationship between pregnancy, childbirth, satisfaction with Korean Medicine (KM) treatment, and participation in the ‘KM Subfertility Support Program.’ As this study was a retrospective survey, the possibility of recall bias cannot be excluded. Additionally, since it relied entirely on self-reports, there is a limitation in the accuracy of the responses. It is possible that women who successfully conceived and gave birth through KM treatment reported high satisfaction due to their success. Conversely, those who never participated in the KM Support Project for Infertility might have responded without full awareness of the government's cost support or might have been influenced by word of mouth. Furthermore, the participants were not necessarily diagnosed with infertility but were those who reported difficulty in becoming pregnant. This led to a smaller number of participants undergoing infertility treatment compared to previous studies, indicating the need for further research to reflect the current status of KM. The study also highlighted the necessity of developing a more respondent-friendly questionnaire, as a detailed survey on satisfaction and the demand for various KM treatment interventions was not conducted. Future research should include an in-depth study on the current status of conventional and KM combination treatments, the effects of each KM intervention, side effects, satisfaction levels, and factors contributing to low satisfaction. Lastly, a limitation of this study is that the survey respondents do not represent the entire population, as the data were sourced from a private company's panel. However, this study is significant as it surveys the general public, not just patients visiting KM institutions. It provides a satisfaction survey that minimizes the possibility of bias and offers a quantitative assessment of treatment status.
5. Conclusions
In conclusion, this survey showed that patients with subfertility are more likely to receive KM as part of integrative medical treatment rather than KM as a standalone intervention. Our findings also suggest that experience of pregnancy and childbirth has a statistically significant effect on satisfaction with KM treatment compared to those without pregnancy experience. The results of this study support the recommendation to implement the ' KM Subfertility Support Program' when establishing policies to address low birth rates. Further studies are needed to determine the status of KM and western medicine co-treatment, satisfaction levels for each KM intervention, and factors contributing to low satisfaction and requirement.
Author Contributions
Conceptualization, M.P., S.-H.S., and J.-K.P.; methodology, M.P., S.-H.S., and J.-K.P.; software, M.P.; validation, M.P.; formal analysis, M.P.; investigation, M.P.; resources, J.-K.P.; data curation, M.P.; writing—original draft preparation, M.P., S.S., J.K., and S.-H.S.; writing—review and editing, D.-I,K., and J.-K.P.; visualization, M.P.; supervision, M.P. and J.-K.P.; project administration, M.P. and J.-K.P.; funding acquisition, M.P. and J.-K.P. All authors have read and agreed to the published version of the manuscript.
Funding
This study was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number: RS-2021-KH110950). Funding body did not participate in the design of the study, collection, analysis, and interpretation of data and in writing the manuscript.
Institutional Review Board Statement
Ethical review and approval were waived for this study, because this study did not include personal information (PNUKHIRB 2021-10-016).
Informed Consent Statement
Not applicable.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors on request.
Conflicts of Interest
The authors declare no conflict of interest.
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Table 1.
Table 1. Demographic and clinical characteristics of participants
Table 1.
Table 1. Demographic and clinical characteristics of participants
|
|
KM txt=0 (n=459, 83.5%) |
KM txt=1 (n=91, 16.5%) |
Total (n=550) |
|
Age |
Under 34 |
98 (79.7%) |
25 (20.3%) |
123(22.4%) |
P=0.80 |
35 and more |
361(84.5%) |
66(15.5%) |
427(77.6%) |
Household income |
Under 4000 USD |
132 (81%) |
31 (19%) |
163(29.6%) |
P=0.90 |
Over 4000 USD |
327 (84.5%) |
60 (15.5%) |
387(70.4%) |
Education |
Under highschool |
77 (86.5%) |
12 (13.5%) |
89(16.2%) |
P=0.76 |
University (bachelor’s degree) |
343 (83.9%) |
66 (16.1%) |
409(74.4%) |
Graduate school (master’s degree) or higher |
39 (75%) |
13 (25%) |
52(9.5%) |
Region |
Rural area |
203 (83.2%) |
41 (16.8%) |
244(44.4%) |
P=0.96 |
Urban area |
116 (86.6%) |
18 (13.4%) |
134(24.4%) |
Capital |
140 (81.4%) |
32 (18.6%) |
172(31.3%) |
Job |
Manual |
32 (76.2%) |
10 (23.8%) |
42(7.6%) |
P=0.67 |
Non-manual |
224 (81.8%) |
50 (18.2%) |
274(49.8) |
Others |
203 (86.8%) |
31 (13.2%) |
234(42.5%) |
Obesity |
BMI<25 |
372 (82.3%) |
80 (17.7%) |
452(82.2%) |
P=0.65 |
BMI>=25 |
87 (88.8%) |
11 (11.2%) |
98(17.8%) |
Delivery history |
Never been pregnant |
91 (85.8%) |
15 (14.2%) |
106(19.3%) |
P=0.92 |
Pregnant but never gave birth |
47 (73.4%) |
17 (26.6%) |
64(11.6%) |
More than 1 childbirth experience |
321 (84.5%) |
59 (15.5%) |
380(69.1%) |
Infertility diagnosis |
No |
319 (85.5%) |
54 (14.5%) |
373(67.8%) |
P=0.46 |
Yes |
140 (79.1%) |
37 (20.9%) |
177(32.3%) |
ᅠ |
Cause of subfertility (n=177) |
|
|
|
P=0.99 |
Unexplained |
75 (81.5%) |
17 (18.5%) |
92(29.0%) |
Tubal or peritoneal factor |
19 (82.6%) |
4 (17.4%) |
23(7.3%) |
Ovulatory factor |
25 (71.4%) |
10 (28.6%) |
35(11.0%) |
Male factor |
14 (77.8%) |
4 (22.2%) |
18(5.7%) |
Others |
7 (77.8%) |
2 (22.2%) |
9(2.8%) |
CM txt |
No |
281 (89.8%) |
32 (10.2%) |
313 (56.9%) |
P=0.00** |
Yes |
178 (75.1%) |
59 (24.9%) |
237 (43.1%) |
Intention to participate in KM Support Project for Subfertility |
No |
216(86.4%) |
34(13.6%) |
250 (45.5%) |
P=0.11 |
Yes |
234(81.0%) |
57(19.0%) |
300 (54.5%) |
Table 2.
A cross-analysis between the demographics and satisfaction of KM treatment.
Table 2.
A cross-analysis between the demographics and satisfaction of KM treatment.
|
|
Unsatisfied (n=55, 60.4%) |
Satisfied (n=36, 39.6%) |
Total (n=91) |
|
Age |
Under 34 |
40 (60.6%) |
26 (39.4%) |
66(72.5%) |
P=1.00 |
35 and more |
15 (60.0%) |
10 (40.4%) |
25(27.5%) |
Household income |
Under 4000 USD |
20 (64.5%) |
11 (13%) |
31(34.1%) |
P=0.73 |
Over 4000 USD |
35 (58.3%) |
25 (41.7%) |
60(65.9%) |
Education |
Under high school |
6 (50.0%) |
6 (50.0%) |
12 (13.2%) |
P=0.62 |
University (bachelor’s degree) |
40 (60.6%) |
26 (39.4%) |
66 (72.5%) |
Graduate school (master’s degree) or higher |
9 (69.2%) |
4 (30.8%) |
13 (14.3%) |
Region |
Rural area |
23 (56.1%) |
18 (43.9%) |
41(45.1%) |
P=0.71 |
Urban area |
12 (66.7%) |
6 (33.3%) |
18(19.8%) |
Capital |
20 (62.5%) |
12 (37.5%) |
32(35.2%) |
Job |
Manual |
5 (50.0%) |
5 (50.0%) |
10(11.0%) |
P=0.77 |
Non-manual |
31 (62.0%) |
19 (38.0%) |
50(54.9%) |
Others |
19 (61.3%) |
12 (38.7%) |
31(34.1%) |
Obesity |
BMI<25 |
49 (61.3%) |
31 (38.8%) |
80(87.9%) |
P=0.75 |
BMI>=25 |
6 (54.5%) |
5 (45.5%) |
11(12.1%) |
Delivery history |
Never been pregnant |
15 (100%) |
0 (0%) |
15(16.5%) |
P=0.00** |
Pregnant but never gave birth |
10 (58.8%) |
7 (41.2%) |
17(18.7%) |
More than 1 childbirth experience |
30 (50.8%) |
29 (49.2%) |
59(64.8%) |
Infertility diagnosisᅠ |
No |
32 (59.3%) |
22 (40.7%) |
54(59.3%) |
P=0.95 |
Yes |
23 (62.2%) |
14 (37.8%) |
37(40.7%) |
ᅠ |
Cause of subfertility (n=37) |
|
|
|
P=0.94 |
Unexplained |
10 (58.8%) |
7 (41.2%) |
17(45.9%) |
Tubal or peritoneal factor |
3 (75.0%) |
1 (25.0%) |
4(10.8%) |
Ovulatory factor |
7 (70.0%) |
3 (30.0%) |
10(27.0%) |
Male factor |
2 (50.0%) |
2 (50.0%) |
4(10.8%) |
Others |
1 (50.0%) |
1 (50.0%) |
2(5.4%) |
CM txtᅠ |
No |
17 (53.1%) |
15 (46.9%) |
32(35.7%) |
P=0.41 |
Yes |
38 (64.4%) |
21 (35.6%) |
59(64.8%) |
Intention to participate in KM Support Project for Subfertility |
No |
27 (79.4%) |
7 (20.6%) |
34(37.4%) |
P=0.01* |
Yes |
28 (49.1%) |
29 (50.9%) |
57(62.6%) |
Table 3.
Factors Affecting Intention to Participate in KM Subfertility Support Program.
Table 3.
Factors Affecting Intention to Participate in KM Subfertility Support Program.
|
|
Coef. ± S.E. |
Odds ratio |
Z value |
Pr(>|z|) |
Age |
(ref. over 35) |
|
|
|
|
Under 34 |
0.62±0.26 |
1.87 |
2.37 |
P=0.98 |
Household income |
(ref. under 4000 USD) |
|
|
|
|
Over 4000 USD |
-0.04±0.21 |
0.96 |
-0.20 |
P=0.84 |
Education |
(ref. highschool) |
|
|
|
|
University (bachelor’s degree) |
0.15±0.25 |
1.17 |
0.61 |
P=0.54 |
Graduate school (master’s degree) or higher |
1.09±0.41 |
2.99 |
2.63 |
P=0.01* |
Region |
(ref. Rural area) |
|
|
|
|
Urban area |
0.28±0.23 |
1.32 |
1.20 |
P=0.23 |
Capital |
-0.05±0.22 |
0.95 |
-0.26 |
P=0.79 |
Job |
(ref. Manual) |
|
|
|
|
Non-manual |
0.48±0.36 |
1.61 |
1.39 |
P=0.16 |
Others |
0.14±0.24 |
1.15 |
0.42 |
P=0.68 |
Obesity |
(ref. BMI<24) |
|
|
|
ᅠ |
BMI>=25 |
0.16±0.24 |
1.17 |
0.69 |
P=0.49 |
Delivery history |
(ref. Never been pregnant) |
|
|
|
|
Pregnant but never gave birth |
-0.41±0.36 |
0.67 |
-1.11 |
P=0.27 |
More than 1 childbirth experience |
-0.78±0.28 |
0.46 |
-2.80 |
P=0.01* |
Infertility diagnosis |
(ref. No) |
|
|
|
|
Yes |
Unexplained |
-0.00±0.28 |
1.00 |
0.06 |
P=0.95 |
Tubal or peritoneal factor |
-0.38±0.48 |
0.69 |
-0.77 |
P=0.44 |
Ovulatory factor |
0.10±0.41 |
1.10 |
0.30 |
P=0.77 |
Male factor |
0.19±0.53 |
1.20 |
0.40 |
P=0.69 |
Others |
-0.08±0.72 |
0.92 |
-0.10 |
P=0.91 |
CM txt |
(ref. No) |
|
|
|
|
Yes |
-0.15±0.46 |
0.86 |
0.58 |
P=0.56 |
KM txt |
(ref. No) |
|
|
|
|
Yes |
0.17±0.32 |
1.18 |
1.18 |
P=0.24 |
Intercepts |
|
-0.03±0.49 |
0.97 |
-0.02 |
P=0.98 |
AIC = 746.64 |
|
|
|
|
|
|
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