Introduction

Health problems that have occurred in the past can affect the current health status of an individual [1], suggesting that it may be beneficial to monitor health status from childhood to predict and prevent future health problems. Early management of health was linked in 2000, to spending cuts in health and medical care expenditure [2]. The health status of children is fundamental in the learning and development of a child, and is essential for the development of motor and sensory systems during childhood. A meta-analytical review of psychological adjustment to pediatric physical disorders was conducted in 1992 from a deficit/problem-centered perspective [3]. In this respect, a study in 2006 assessed the wellbeing of chronically ill children, their parents and their siblings according to the presence or absence of disease [4], or in comparison with the disease type or disease severity of the minors which reviewed in 1999 how individuals coped and adjusted to chronic disease [4,5].

A chronic disease is defined as a medically diagnosed disease with slow progression [6]. People with a chronic disease are less active than those without a chronic disease, have limited social participation, are more likely to experience depression, and report a poorer quality of life [7–10]. Newacheck and Halfon [11] reported in 1998 that 6.5% of American children had a chronic condition or disease, and of those children, 66% had no activity limitation, whilst 29% had mild activity limitation and 5% had severe activity limitation. According to a review in 2003 [12], the prevalence of childhood chronic condition or disease was reported to be 5.8% in the United States and 9.8% in Finland. Lenton et al [13] reported on the prevalence and morbidity of life-threatening conditions and suggested that the study of chronic disease in children and adolescents was necessary.

During infancy, the juvenile period and adolescence, a chronic conditions or diseases can affect the emotional wellbeing, lifestyle and quality of life of the child, and their families [14,15]. Physical problems such as pain and fatigue are major obstacles to the activities of daily living [15]. Although chronic conditions such as asthma, rhinitis, atopic dermatitis, obesity, hypertension, and diseases such as diabetes may not significantly affect daily life, the progress of the condition is difficult to predict, and is not easily treated. In other words, people with chronic illnesses have the additional burden of coping with the condition or disease management, which requires health care through specific exercise and diet, with long term medication [16].

Studies have shown that chronic illnesses, such as sleep disturbances, chronic fatigue and asthma, not only lead to the deterioration in physical abilities and performance levels, but also alter the appearance of the patient, which has been reported to increase stress in adolescents [17–19]. In another study, symptoms of depression in children and adolescents with Type 1 diabetes mellitus, were more severe than in healthy children and adolescents, and were associated with higher healthcare expenditures in their families [20].

It has been reported recently, that the fertility rate in Korea in 2015 was low [21]. As a result of the Korean government’s policy for prevent of low fertility, the Korean government has increased the rate of infants screening from 3% to 20%. This is an example that focuses on creating a socio-economic environment to share social responsibility for childbirth and parenting and to “get better and better”. Therefore, health care policies are associated with a strong social stability network for childbirth and child care in minors. The study of chronic conditions or diseases, and medical expenditure during the infant, juvenile and adolescent periods can have a significant impact on health care policy [21]. In particular, research into medical expenditure can reveal important information for policy enforcement [22], which can not only serve as a basis for preventing excessive medical expenditure, but can also help build an improved system for people who need health care services [23]. However, studies on differences in medical use and medical expenditure during infant, juvenile and adolescent periods, have been lacking.

Therefore, this study investigated differences in socioeconomic status, medical use, and medical expenditure for minors with a chronic condition or disease, and investigated whether this affects medical expenditure. In addition, differences in medical expenditure among infants, juveniles, and adolescents were examined to address differences in socioeconomic characteristics, medical use and expenditure, in individuals with a chronic condition or disease. Moreover, the chronic conditions or diseases of minors were assessed to determine whether this affected medical expenditure., Therefore, differences in socioeconomic characteristics, medical use and expenditure, and chronic conditions or diseases in infants, juveniles, and adolescents were analyzed.

Materials and Methods

1. Participants

This study included data from the Korea Health Panel that was collected in 2015. The Korea Health Panel is a government-approved statistical survey (No. 92012) used to collect data on healthcare utilization, medical expenditure, and health behavior. The Korea Health Panel uses 90% of population and housing census data collected in 2005 for a representation of Korea. There were 350 enumeration districts and 8,000 households surveyed. In the 2015 Korea Health Panel, the survey period was from March 9, 2015 to September 6, 2015. The research method used was computer-assisted personal interviewing. Approval for the current study was granted to extract data through the Korea Health Panel website (https://www.khp.re.kr:444/). The data extracted for analysis included 3,709 individuals under 20 years of age, from the total of 18,130 people who participated in the Korea Health Panel during 2015. Of these, 3,677 persons were selected excluding individuals with disabilities (Figure 1).

2. Variables

A total of 11 variables were used in this study. The socioeconomic characteristics were age, growth period (infant: 1 years to 5 years; juvenile: 6 years to 12 years; adolescents: 13 years to 19 years), gender, family income (decile), and whether the individual was a Medicaid recipient. The questions about chronic conditions or diseases were, “Do you have any of the following conditions or diseases (hypertension, diabetes, hyperlipemia, arthropathy, tuberculosis or other chronic conditions or diseases), or are you currently suffering from a chronic condition or disease?” (Where chronic suffering was more than 3 months). In this study, “yes” equated to 1 and “no” equated to 0. Medical use referred to emergency room care, hospitalization, and being a hospital outpatient for 1 year. Hospitalization included hospitalization without an overnight stay, admission to an intensive care unit, and hospitalization in an oriental medicine hospital or dental hospital; being a hospital outpatient included oriental medicine hospital or dental hospital. The medical expenditures were divided into 2 parts: the first included emergency, inpatient, outpatient medical expenses and emergency, hospitalization, and outpatient prescription drugs (Medical Expenditures 1), and the second included a combination of items included in medical expenditures 1 and emergency transportation expenses (ambulance), transportation expenses for inpatient and outpatient care, and care benefits (Medical Expenditures 2).

3. Statistical analysis

The data were analyzed using SPSS 22 (IBM Co., Armonk, NY, USA). The participants’ chronic condition or disease, socioeconomic characteristics, medical use, and medical expenditures were confirmed by frequency analysis. Differences according to the presence of a chronic condition or disease were analyzed using independent t test for ratio variables, Mann-Whitney u tests for ordinal variables, and Chi-square tests for nominal variables. To estimate the odds ratios between presence of a chronic condition or disease, bivariate random-effects logistic regression analyses were used. In order to perform the logistic regression analysis, independent variables were defined as a growth period (infants, juvenile and adolescents), Medicaid recipient, gender, emergency room use, hospitalization use, and hospital outpatient use, respectively. The regression model was performed using a multivariate analysis. In the stepwise multiple regression analysis, independent variables were age, gender, having a chronic condition or disease, Medicaid recipient, medication uptake, emergency room use, hospitalization use, and hospital outpatient use. A one-way ANOVA or Chi-square test was used to compare the presence of chronic conditions or diseases, gender, family income, medical use, and medical expenditures among infants, juvenile, and adolescents. The statistical significance was set at p < 0.05.

Results

Table 1 shows the chronic conditions or diseases, socioeconomic characteristics, medical use, and expenditure in minors. Among the 3,677 subjects analyzed, there were 1,015 (27.6%) minors with a chronic condition or disease. The mean age was 11.43 ± 5.31 years. There were 1,875 (51%) males and 1,802 (49%) females. The family income (decile) was 6.59 ± 2.30. There were 126 (3.4%) Medicaid recipients, 129 (3.5%) had medication, 381 (10.4%) used the emergency room, 263 (7.2%) had hospitalization, and 3,318 (90.2%) were outpatients. Medical Expenditures 1 amounted to 249,617.3 ± 577,282.6 won, and Medical Expenditures 2 totaled 253,623.9 ± 582,536.9 won.

Table 2 shows the comparison between socioeconomic characteristics, medical use, and expenditures according to the presence of a chronic condition or disease in minors. Minors with a chronic condition or disease were older (juveniles, and adolescents; p < 0.001), Medicaid recipients (p = 0.004), used outpatient hospital services (p < 0.001), and had a statistically significantly higher medical expenditure than minors without a chronic condition or disease (p < 0.001).

Table 3 shows the estimation findings of the association between chronic conditions or diseases, socioeconomic characteristics, and medical use. Boys were more likely to suffer from a chronic condition or disease than girls (p = 0.036). Adolescents and juveniles were statistically significantly more likely to suffer from a chronic condition or disease than infants (p < 0.001). Medicaid recipients were more likely to have a chronic condition or disease than non-Medicaid recipients (p = 0.008). Minors who were hospital outpatients were more likely to have a chronic condition or disease compared with minors who were not hospital outpatients (p < 0.001).

Table 4 shows the factors affecting medical expenditures. The factors affecting medical expenditure were hospitalization (p < 0.001), being a hospital outpatient (p < 0.001), presence of a chronic condition or disease (p < 0.001), using the emergency room (p = 0.002), and gender (p = 0.017; R2 = 0.162, Durbin-Watson = 1.951).

Table 5 shows the comparison of chronic conditions or diseases, gender, family income, and medical expenditures between infants, children, and adolescents. Medical Expenditures 1 and 2 were statistically significantly higher for infants than juveniles and adolescents (p = 0.001). Infants also had a statistically significantly higher uptake of medication (p = 0.038), use of the emergency room (p < 0.001), hospitalization (p < 0.001), and being a hospital outpatient (p < 0.001) compared with juveniles and adolescents.

Discussion

In Korea, finding a solution for low fertility is a social issue, but it is not expected to increase the fertility rate in the future [21,24]. In minors, health care policies relate to the creation of a socioeconomic environment for prevent of low fertility. These policies can be the foundation for raising fertility rates. In this context, there is a need for further health research on the existing minors.

In the current study, minors with a chronic condition or disease tended to be older (juveniles and adolescents), were Medicaid recipients, and had more medical expenditure than the minors without a chronic condition or disease. In a medical expenditure panel survey conducted in the United States, juveniles with a chronic condition disease or disability, had a tendency to require more money to be allocated to hospitalization and more on medical expenses than juveniles without a chronic condition or disease [25]. An Australian working paper on poverty and disability in 2012 [26] emphasized the importance of enhancing the quality and accessibility of care for children with a condition, disease or disability, due to a high correlation with poverty. The results of previous studies and the findings of the present study were consistent [25,26] and suggest that access to health information and health-related services, for children with chronic conditions, diseases or disabilities should be supported, and health-related programs should be developed.

The presence of a chronic condition or disease was higher in boys than girls (OR = 1.172), and was more likely to occur in minors who were recipients of Medicaid compared with non-Medicaid recipients (OR = 1.652). Chronic conditions or diseases such as hypertension, diabetes, and hyperlipidemia occur predominantly in boys [27–29]. Studies have shown that the lower the level of economic and social status and education, the higher the incidence of chronic conditions or diseases [30,31].

The presence of a chronic condition or disease was a factor increasing medical expenditure in this study. This was a similar finding to a study on the use of healthcare for juveniles and adolescents (< 18 years) who require special health care due to a chronic condition, disease or developmental, behavioral, and emotional problems [32]. It has been reported in the US that health-related expenditures such as inpatient and outpatient care, non-prescription care, prescription drugs, and home health care services were 3 times more likely to be administered to juveniles and adolescents with chronic conditions or diseases than healthy juveniles and adolescents [32].

Infants had higher rates of medication uptake, emergency room use, hospitalization, and being a hospital outpatient than juveniles and adolescents. Juveniles and adolescents were more likely to have a chronic condition or disease than infants and this increased medical expenditure. However, infant medical expenditure may be linked to a different cause than a chronic condition or disease. That is, the rate of infant medical use was statistically significantly higher than juvenile and adolescents, even though their chronic disease rate was lower.

Children with chronic conditions or diseases have a high financial burden due to high health service use [33]. Improving individual health care for chronic illnesses has the potential benefit of reducing the financial burden of the nation [34]. Policymakers should recognize that there is a need to lower the national debt of medical expenditures, and the financial cost to parents of children with chronic conditions or diseases.

This study has a number of limitations. The family level of income for the individuals in this current study was 6.59 (decile) indicating a high economic status. In other words, the income level of the participants in the study was high. The author recognizes that this is the result of this subjects. In addition, this was a study using cross-sectional data, and therefore clear proof of causality could not be established. In future research, it is necessary to study children considering sociocultural factors such as low-income families, multicultural families, and single-parent families.

Article information

Conflicts of Interest

The author has no conflicts of interest to declare.

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Figure 1

The process of data selection for this study.

Table 1

Chronic condition or disease, sociodemographic characteristics, medical use and expenditures for minors.

		Total (n = 3,677)	Infant (n = 654)	Juvenile (n = 1,256)	Adolescents (n = 1,767)
Chronic condition or disease	Yes	1,015 (27.6)	88 (13.5)	404 (32.2)	523 (29.6)
	No	2,662 (72.4)	566 (86.5)	852 (67.8)	1,244 (70.4)
Age (y)		11.43 ± 5.31	3.10 ± 1.41	9.17 ± 1.96	16.12 ± 1.96
Gender	Male	1,875 (51.0)	339 (51.8)	629 (50.1)	907 (51.3)
	Female	1,802 (49.0)	315 (48.2)	627 (49.9)	860 (48.7)
Family income (decile)		6.59 ± 2.30	6.46 ± 2.08	6.62 ± 2.25	6.61 ± 2.41
Presence of MR	Yes	126 (3.4)	12 (1.8)	39 (3.1)	75 (4.2)
	No	3,548 (96.6)	642 (98.2)	1,217 (96.9)	1,692 (95.8)
Medication uptake	Yes	129 (3.5)	33 (5.0)	35 (2.8)	61 (3.5)
	No	3,548 (96.5)	621 (95.0)	1,221 (97.2)	1,706 (96.5)
Emergency room use	Yes	381 (10.4)	135 (20.6)	138 (11.0)	108 (6.1)
	No	3,296 (89.6)	519 (79.4)	1,118 (89.0)	1,659 (93.9)
Hospitalization	Yes	263 (7.2)	97 (14.8)	84 (6.7)	82 (4.6)
	No	3,414 (92.8)	557 (85.2)	1,172 (93.3)	1,685 (95.4)
Hospital outpatient	Yes	3,318 (90.2)	651 (99.5)	1,215 (96.7)	1,452 (82.2)
	No	359 (9.8)	3 (0.5)	41 (3.3)	315 (17.8)
Medical expenditure 1 (won)		249,617.3 ± 577,282.6	321,644.3 ± 453,879.9	244,556.0 ± 550,266.8	226,556.5 ± 632,345.0
Medical expenditure 2 (won)		253,623.9 ± 582,536.9	331,450.2 ± 474,230.3	247,372.4 ± 551,704.3	229,262.8 ± 635,643.4

Data are presents as mean ± SD or n (%).

MR = medicaid recipient.

Table 2

Comparison between sociodemographic characteristics, medical use and expenditures according to presence of chronic condition or disease in minors.

		Without CD (n = 2,662)	With CD (n = 1,015)	p
Age (y)†		11.11 ± 5.56	12.27 ± 4.46	< 0.001***
Gender§	Male	1,331 (50.0)	544 (53.6)	0.051
	Female	1,331 (50.0)	471 (46.4)
Family income (decile)‡		6.56 ± 2.29	6.65 ± 2.33	0.087
Presence of MR§	Yes	77 (2.9)	49 (4.8)	0.004**
	No	2,585 (97.1)	966 (95.2)
Medication uptake§	Yes	93 (3.5)	36 (3.5)	0.938
	No	2,569 (96.5)	979 (96.5)
Emergency room use§	Yes	267 (10.0)	114 (11.2)	0.285
	No	2,395 (90.0)	901 (88.8)
Hospitalization§	Yes	190 (7.1)	72 (7.1)	0.269
	No	2,472 (92.9)	942 (92.8)
Hospital outpatient§	Yes	2,366 (88.9)	952 (93.8)	< 0.001***
	No	296 (11.1)	63 (6.2)
Medical Expenditure 1 (won)†		227,690.3 ± 507,263.2	307,124.5 ± 726,839.6	< 0.001***
Medical Expenditure 2 (won)†		230,907.2 ± 510,186.1	313,202.5 ± 736,375.4	< 0.001***

Data are presents as mean ± SD or n (%).

^*p < 0.05,

^**p < 0.01.

^***p < 0.001. Result were analyzed by independent t test^† or Mann-Whitney u test^‡ or Chi-square test^§.

MR = medicaid recipient.

Table 3

Estimation findings of the association between chronic condition or disease and sociodemographic characteristics, and medical use (N = 3,677).

		Whether older with and without chronic disease	p
		Adjusted OR (95% CI)
Gender	Male	1.172 (1.001–1.359)	0.036*
	Female (ref)	1
Age period	Adolescents	3.128 (2.461–4.107)	< 0.001***
	Juveniles	3.179 (2.428–4.029)	< 0.001***
	Infants (ref)	1
Presence of MR	Yes	1.652 (1.137–2.400)	0.008**
	No (ref)	1
Medication uptake	Yes	1.088 (0.729–1.625)	0.680
	No (ref)	1
Emergency room use	Yes	1.256 (0.985–1.603)	0.066
	No (ref)	1
Hospitalization	Yes	1.043 (0.772–1.409)	0.784
	No (ref)	1
Hospital outpatient	Yes	2.231 (1.669–2.983)	< 0.001***
	No (ref)	1

^*p < 0.05,

^**p < 0.01.

^***p < 0.001. Result were analyzed by logistic regression analysis (multivariate analysis).

CI = confidence interval; MR = medicaid recipient; OR = odds ratio.

Table 4

Factors affecting medical expenditure (N = 3,677).

	Medical expenditures
	β	t	p	F
(Constant)				141.591
Hospitalization	0.359	22.830	< 0.001***
Hospital outpatient	0.098	6.449	< 0.001***
Chronic condition or disease	0.054	3.573	< 0.001***
Emergency room use	0.050	3.167	0.002**
Gender	−0.036	−2.390	0.017*
R2		0.162

^*p < 0.05,

^**p < 0.01.

^***p < 0.001. Result were analyzed by stepwise multiple regression analysis.

Table 5

Comparison of chronic condition or disease, gender, family income, medical use and expenditure between infants, children and adolescents.

		Infants (n = 654)	Juveniles (n = 1,256)	Adolescents (n = 1,767)	F or X2	p
Chronic condsition or disease	Yes	88 (13.5)	404 (32.2)	523 (29.6)	82.103	< 0.001***
	No	566 (86.5)	852 (67.8)	1,244 (70.4)
Gender	Male	339 (51.8)	629 (50.1)	907 (51.3)	0.685	0.710
	Female	315 (48.2)	627 (49.9)	860 (48.7)
Family income (decile)		6.46 ± 2.08	6.62 ± 2.25	6.61 ± 2.41	1.241	0.289
Medication uptake	Yes	33 (5.0)	35 (2.8)	61 (3.5)	6.516	0.038*
	No	621 (95.0)	1,221 (97.2)	1,706 (96.5)
Emergency room use	Yes	135 (20.6)	138 (11.0)	108 (6.1)	109.305	< 0.001***
	No	519 (79.4)	1,118 (89.0)	1,659 (93.9)
Hospitalization	Yes	97 (14.8)	84 (6.7)	82 (4.6)	75.271	< 0.001***
	No	557 (85.2)	1,172 (93.3)	1,685 (95.4)
Hospital outpatient	Yes	651 (99.5)	1,215 (96.7)	1,452 (82.2)	254.888	< 0.001***
	No	3 (0.5)	41 (3.3)	315 (17.8)
Medical expenditure 1 (won)		321,644.3 ± 453,879.9	244,556.0† ± 550,266.8	226,556.5† ± 632,345.0	6.569	0.001**
Medical expenditure 2 (won)		331,450.2 ± 474,230.3	247,372.4† ± 551,704.3	229,262.8† ± 635,643.4	7.480	0.001**

Data are presents as mean ± SD or n (%).

^*p < 0.05,

^**p < 0.01.

^***p < 0.001. Result were analyzed by One-way ANOVA or Chi-square test.

^†p < 0.05, significant difference compared with infant, post-hoc test (Scheffe).

Figure & Data

References

Citations

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