Factors influencing the use of traditional Korean herbal medicine - based on the 2020 Korean Medical Panel data

Article information

J Korean Med. 2024;45(3):1-13

Publication date (electronic) : 2024 September 1

doi : https://doi.org/10.13048/jkm.24033

Sohyun Park ¹

, Junho Kim ²^,

¹Department of Public Health Science, Graduate School, Korea University

²Talk-bareun Kyung Hee Korean Medicine Clinic

Correspondence to: Junho Kim, Talk-bareun Kyung Hee Korean Medicine Clinic, 254, Hwarang-ro, Seongbuk-gu, Seoul 02783, Korea, Tel: +82-2-963-0075, Fax: +82-2-963-0079, E-mail: talktalk_seongbuk@naver.com

Received 2024 May 8; Revised 2024 July 17; Accepted 2024 August 19.

Abstract

Objectives

The purpose of this study was to investigate the characteristics and usage patterns of traditional Korean herbal medicine users, as well as the factors related to traditional Korean herbal medicine usage, using data from the 2020 Korean Medical Panel.

Methods

Characteristics between traditional Korean herbal medicine users and non-users were compared using the chi-squared test. Additionally, binomial logistic regression analysis was employed to analyze the factors influencing traditional Korean herbal medicine usage. Andersen's healthcare utilization model was used to examine factors that potentially influenced the usage of traditional Korean herbal medicine.

Results

Analysis using Andersen's healthcare utilization model revealed significant differences in factors influencing traditional Korean herbal medicine usage. Predisposing factors such as age and region; enabling factors such as annual household income; and need factors such as the presence of chronic diseases and the number of chronic disease episodes were all significant.

Conclusions

Further research on the various factors influencing the use of traditional Korean herbal medicine could extend beyond short-term policy challenges to explore individual health issues and the direction of health care policy from a broader, macro perspective.

Keywords: Health Policy; Patient Acceptance of Health Care; Insurance; Medicine; Korean Traditional

Fig. 1

Flow chart of the study

Table 1

Characteristics based on the use of traditional Korean herbal medicine

Table 2

Medical Usage Among Korean Herbal Medicine Users

Table 3

Logistic Regression Analysis of Factors Influencing the Use of Traditional Korean Herbal Medicine

References

1. Ministry of Government legislation. Act on the Promotion of Korean Medicine and Pharmaceuticals 2012. [cited 2024 7 May]; Available from: https://www.law.go.kr/lsInfoP.do?lsId=009543&ancYnChk=0#0000.

2. Ministry of Health and Welfare & National Development Institute of Korean Medicine. Usage and Consumption of Korean Medicine Report 2018;

3. Kim J, Kim S, Kang J. Determinants of Intention to Take Korean Medicine: Focusing on the recognition of korean medicine treatment effects by disease. Journal of Digital Convergence 2022;20(1):327–334. doi: https://doi.org/10.14400/JDC.2022.20.1.327.

4. Kim J, Kim S, Kang J. A Study on the Determinants of Intention to Take Herbal Medicine among Individuals with Experience in Korean Medicine. Journal of Society of Preventive Korean Medicine 2024;28(1):59–67. doi: 10.25153/spkom.2024.28.1.005.

5. Lee K, Kwon C. Analysis of Factors Related to the Use of Korean Medicine Treatment in Patients with Mood Disorders: Based on 2019 Korea Health Panel Annual Data. J of Oriental Neuropsychiatry 2023;34(4):349–358. doi: https://doi.org/10.7231/jon.2023.34.4.349.

6. Song M, Choi C, Kim D. Analysis of Influencing Factors of Korean Medical Utilization among Persons with Unmet Healthcare Needs - Based on Korea Health Panel. Journal of Society of Preventive Korean Medicine 2023;27(1):17–27. doi: 10.25153/spkom.2023.27.1.002.

7. Jang H, Jung I, Park Y, Park S. Analysis of Choice factors of Korean Medicine and Pain Assessment - Using a Korean Longitudinal Study of Ageing(KLoSA). J Physiol & Pathol Korean Med 2018;32(6):411–417. http://dx.doi.org/10.15188/kjopp.2018.12.32.6.411.

8. Korea Institute for Health and Social Affairs. A Report on the Korea Health Panel Survey of 2021 (II) 2023;doi: 10.23060/KIHASA.A.2023.06.

9. Kim B, Kang S. Analysis of Medical Expenses Before the Death of the Aged using the Andersen Model. Journal of Social Science 2018;29(2):79–100. doi: 10.16881/jss.2018.04.29.2.79.

10. Korea Institute for Health and Social Affairs & National Health Insurance Service. 2020;Korea Health Panel Annual Data 2019

11. Park M, Kwon S. Socioeconomic Determinants of Korean Medicine Ambulatory Services: Comparing Panel Fixed Effect Model with Pooled Ordinary Least Square. Health Policy and Management 2014;24(1):47–55. doi: https://doi.org/10.4332/KJHPA.2014.24.1.47.

12. Lee H, Yoo W, Chung S. Determining Factors for the Use of Oriental Healthcare Services for Survey Subjects with Chronic Illnesses:2005 National Health and Nutrition Examination Survey. Oriental Preventive Medical Society 2011;15(3):115–125.

13. Sung D, Choi S, Park M, Sung S. A Study on the Characteristics of the Awareness and Satisfication Level of Musculoskeletal Patients and Non-Musculoskeletal Patients that Use Korean Medical Institutions. Journal of Society of Preventive Korean Medicine 2020;24(3):27–38. doi: 10.25153/spkom.2020.24.3.003.

14. Lim J, Lee K. Influencing factors of using Korean Medicine services – focusing on the 2017 Korean Medicine Utilization Survey. J Korean Med 2021;42(1):12–25. doi: https://doi.org/10.13048/jkm.21002.

15. Park J. Factors Affecting the Utilization of Korean Medicine in Last 1 Year : Analysis of the National Survey on Korean Medicine Utilization, 2020. Journal of Society of Preventive Korean Medicine 2023;27(2):49–59. doi: 10.25153/spkom.2023.27.2.004.

16. Nam H. Study on the Factors of Korean Middle-Aged and Older Groups’ Use of Traditional Korean Medicine Outpatient Care : Using the 2010–2014 National Health and Nutrition Survey Data. Masters diss Yonsei University; 2019.

17. Moon K. The Analysis of Trends and Determinants of Korean Medical Service Utilization in Outpatients. Ph.D. diss Kyung Hee University; 2017.

18. Kim S, Park J. The Utilization of Western and Oriental Medical Services by Outpatients with Musculoskeletal System Disorders and Its Related Factors. The Korean Journal of Health Service Management 2012;6(1):27–38. doi: 10.12811/kshsm.2012.6.1.027.

19. Kim D, Kim H, Lim B. Determinants analysis of uninsured herbal medicine utilization in the Korean Medicine outpatient service. Journal of Society of Preventive Korean Medicine 2018;22(1):1–14. doi: 10.25153/spkom.2018.22.1.001.

20. Song T. An Anderson Model Approach to the Mediation Effect of Stress-Vulnerability Factors on the Use of Outpatient Care by the Elderly. Health and Social Welfare Review 2013;33(1):547–576. doi : http://dx.doi.org/10.15709/hswr.2013.33.1.547.

Article information Continued

Fig. 1

Flow chart of the study

Table 1

Characteristics based on the use of traditional Korean herbal medicine

	Non-users	users	p-value
N(%)	1,999 (79.20)	525 (20.80)

Age			0.000^*
<20	76 (3.80)	62 (11.81)
20–40	226 (11.31)	76 (14.48)
40–60	572 (28.61)	122(23.24)
60–80	995 (49.77)	232 (44.19)
>=80	130 (6.50)	33 (6.29)

Sex			0.242
Male	698 (34.92)	169 (32.19)
Female	1,301 (65.08)	356 (67.81)

Region			0.001^*
Seoul/Gyeonggi/Incheon	540 (27.01)	165 (31.43)
Gangwon	66 (3.30)	13 (2.48)
Daejeon/Chungcheong/Sejong	350 (17.51)	102 (19.43)
Gwangju/Jeolla/Jeju	474 (23.71)	81 (15.43)
Busan/Daegu/Ulsan/Gyeongsang	569 (28.46)	164 (31.24)

Annual Income (10,000 won)
Mean income	4752.02 ± 3965.29	5599.55 ± 5061.2	0.0004^*

Education level			0.082
Elementary school or below	563 (28.16)	172 (32.76)
Middle or high school	879 (43.97)	207 (39.43)
College above	557 (27.86)	146 (27.81)

Health insurance type			0.428
Employee or local	1,932 (96.65)	511 (97.33)
Medical aid or others	67 (3.35)	14 (2.67)

Disability			0.344
Yes	162 (8.10)	36 (6.86)
No	1,837 (91.90)	489 (93.14)

Chronic disease			0.015^*
Yes	1,182 (59.13)	280 (53.33)
No	743 (37.17)	225 (42.86)

Subjective Health Status			0.551
Very satisfied/Satisfied	541 (29.35)	121 (27.19)
Neutral	875 (47.48)	212 (47.64)
Dissatisfied/ Very dissatisfied	427 (23.17)	101 (25.17)

Usual Source of Care			0.069
Yes	1,060 (53.03)	277 (52.76)
No	783 (39.17)	168 (32.00)

Private Health Insurance			0.851
Yes	1,409 (70.49)	339 (64.57)
No	414 (20.71)	102 (19.43)
Unknown	20 (1.00)	4 (0.76)

Number of Private Health Insurance			0.655
1	553 (27.66)	149 (28.38)
2	388 (19.41)	114 (21.71)
3	264 (13.21)	69 (13.14)
4	138 ( 6.90)	37 (7.05)
5 or more	656 (32.82)	156 (29.71)

Actual expense health insurance			0.033^*
Yes	1,016 (65.89)	295 (71.43)
No	526 (34.11)	118 (28.57)

Statistically significant with p<0.05

Table 2

Medical Usage Among Korean Herbal Medicine Users

	N (%)
Reason of treatment
Diagnosis and treatment of pain or discomfort	378 (72.00)
Preventive care	111 (21.14)
Rehabilitation and palliative care	0 (0)
Accident or poisoning	12 (2.29)
Treatment and management of Skin/Beauty/Obesity	16 (3.05)
Treatment and management for the growth and development of children and adolescents	7 (1.33)
Others	1 (0.19)

Diagnosed diseases
Stroke (brain hemorrhage, cerebral infarction) or hemiplegia	3 (0.57)
Paraplegia of the lower body and limbs	2 (0.38)
Dementia	0 (0)
Parkinson's disease	0 (0)
Neurological disease (U23)	1 (0.19)
Facial nerve disorder	5 (0.95)
Vertebral disc disorder (cervical, lumbar, etc.)	21 (4.00)
Back pain	8 (1.52)
Shoulder joint disease (frozen shoulder, rotator cuff, etc.)	18 (3.43)
Arthritis (rheumatoid arthritis, osteoarthritis (degenerative arthritis)	45 (8.57)
Other joint disorders (pelvis, elbow, spine, etc.)	126 (24.00)
Others	150 (28.57)
Missing data	146 (27.81)

Usage of other treatment
Acupunture	328 (62.48)
Moxibustion	31 (5.90)
Cupping treatment	30 (5.71)
Expensive herbal medicine (공진단, 경옥고)	5 (0.95)
Common herbal medicine (granules, pills, ointments, etc.)	25 (4.76)
Pharmacopuncture	52 (9.90)
Chuna therapy	12 (2.29)
Manual therapy	4 (0.76)
Physical therapy (other than chuna and manual therapy)	278 (52.95)

Unmet Health Care Needs
Yes	69 (15.51)
No	371 (83.37)
Not needed	5 (1.12)

Table 3

Logistic Regression Analysis of Factors Influencing the Use of Traditional Korean Herbal Medicine

Independent variables			Model 1		Model 2		Model 3

			Odds Ratio	95% CI	Odds Ratio	95% CI	Odds Ratio	95% CI
Predisposing factors	Age (ref: 60–80)	<20	3.57^** (0.000)	2.44~5.22	3.12^** (0.000)	2.00~4.88	3.66^** (0.00)	2.15~6.23
		20–40	1.48^* (0.044)	1.01~2.16	1.57^* (0.038)	1.02~2.40	1.91^** (0.009)	1.18~3.10
		40–60	0.96 (0.759)	0.72~1.27	1.00 (0.982)	0.72~1.39	1.06 (0.74)	0.75~1.51
		80=<	1.10 (0.681)	0.72~1.65	1.32 (0.53)	0.55~3.17	1.46 (0.40)	0.61~3.52

	Sex (ref: Male)	Female	1.23 (0.059)	0.99~1.53	1.17 (0.22)	0.91~1.49	1.17 (0.23)	0.91~1.51

	Education level (ref: college above)	Elementary school or below	1.07 (0.70)	0.75~1.53	1.53 (0.052)	1.00~2.34	1.56 (0.052)	1.00~2.43
	Education level (ref: college above)	Middle or high school	0.94 (0.66)	0.70~1.25	1.07 (0.67)	0.78~1.47	1.08 (0.64)	0.78~1.51

	Region (ref: Gwangju/Jeolla/Jeju)	Gangwon	1.20 (0.58)	0.63~2.30	1.10 (0.80)	0.51~2.40	1.14 (0.74)	0.52~2.49
		Daejeon/Chungcheong/Sejong	1.66^** (0.002)	1.20~2.31	1.90^** (0.001)	1.30~2.78	1.91^** (0.001)	1.30~2.83
		Seoul/Gyeonggi/Incheon	1.71^** (0.000)	1.27~2.30	1.80^** (0.001)	1.28~2.53	1.78^** (0.001)	1.26~2.52
		Busan/Daegu/Ulsan/Gyeongsang	1.72^** (0.001)	1.28~2.31	1.70^** (0.003)	1.20~2.39	1.67^** (0.004)	1.17~2.37

Enabling factors	Total income				1.22^* (0.024)	1.03~1.45	1.22^* (0.03)	1.02~1.46

	Health insurance type (ref: medical aid or others)	Employee or local			0.75 (0.515)	0.32~1.78	0.76 (0.55)	0.32~1.85

	Actual expense health insurance(ref: Yes)	No			0.88 (0.365)	0.68~1.15	0.90 (0.472)	0.69~1.19

Need factors	Chronic disease (ref: Yes)	No					1.66^* (0.046)	1.01~2.73

	Number of Chronic disease(ref: 0)	1					1.85^** (0.006)	1.20~2.85
		2					2.53^** (0.003)	1.36~4.72
		3⁺					1.95^* (0.037)	1.04~3.67
	Disability (ref:Yes)	No					1.27 (0.41)	0.72~2.22

	Log Likelihood	−1253.4629			−963.26935		−920.02875

	Hosmer Lemeshow	0.6668			0.7153		0.9981

	Mean VIF		1.56		1.51		1.94

p<0.05;

^**

p<0.01.

CI: confidence interval. VIF: Variation inflation factor.