Journal List > J Korean Med Sci > v.30(2) > 1094460

Son, Park, Song, Kang, Hong, Lee, Kim, Park, Lee, and Lee: Rapid Increase of Health Care Utilization and Cost due to Benign Prostatic Hyperplasia in Korean Men: Retrospective Population-based Analysis Using the Health Insurance Review and Assessment Service Data

Abstract

Using the Korean public health insurance database, we analyzed patients diagnosed as benign prostatic hyperplasia (BPH) from 2004 to 2008. Age and year-specific amount and seasonal variation of hospital visits (HV), duration of treatment (DT), the total and per capita amount of insurance payment (TAIP, PCIP) were evaluated. A total of 12,088,995 HV were studied. Total HV increased 1.7 times and DT almost doubled in 2008 compared to those in 2004. HV, DT, and TAIP showed linearly increasing patterns year by year. In a time series analysis, HV increased in winter and demonstrated seasonality in a 12-month cycle. In a Poisson regression analysis, the annual variations of HV, DT, TAIP, and PCIP were different by age groups. In patients older than 40 yr, HV significantly increased 1.10-1.16 times compared to that of the previous year. DT markedly increased in their 60s and 80s patients. The rate of increase in PCIP was steeper in patients 50 yr and older than in the others.Health care utilization due to BPH was rapidly increasing in Korea and it was remarkable in the elderly population. Seasonal variation of HV demonstrated that health care utilization increased in winter.

Graphical Abstract

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INTRODUCTION

Benign prostatic hyperplasia (BPH) is a highly prevalent disease affecting middle aged and elderly men (1). In the United States, BPH is the most common benign tumor in men and is the most typically the disorder that reduces the quality of life (QOL) in men, causing lower urinary tract symptoms (LUTS) (2). BPH could be accepted as one of the processes of aging, rather than a life threatening disease, however, and as Korea is rapidly becoming an aging society, the QOL becomes a major issue among Koreans. It seems certain that, before long, BPH will emerge as one of the main priorities of concern for health care service authorities, as well as the government.
According to the report in the United States, approximately 4.5 million visits were made to physicians' offices for a primary diagnosis of BPH, and almost 8 million visits were made with a primary or secondary diagnosis of BPH in the year 2000 (3). The direct cost of BPH treatment was estimated to be 1.1 billion USD, excluding outpatient pharmaceuticals and nutritional supplements or herbal medications. There have been some population surveys on the prevalence of BPH in Korea (4, 5, 6), but the scale of those studies was small, and the issue of cost for BPH treatment was not investigated. Therefore, in the present study, the authors aimed to estimate the amount of health care utilization due to BPH by surveying the records of patients who visited the designated medical institutions by the Health Insurance Review and Assessment service (HIRA) of Korea. The HIRA monitors and analyzes reimbursement records from the Korean National Health Insurance (NHI) and Medical Aid. Because almost the entire nation is required to join the NHI (approximately 96.6% of the population) and Medical Aid (approximately 3.4%), HIRA records cover all citizens (approximately 49 million people) in Korea. We also aimed to find any seasonal or regional variation in the cost of health care utilization due to BPH, as well as to examine economic burdens on the health insurance system and the pattern of practice in the management of BPH. Lastly, this nationwide, large-scale survey was conducted to offer the most reliable and objective epidemiological data in order to provide fundamental information for authorities formulating health care policy to improve the national health-related QOL.

MATERIALS AND METHODS

We evaluated data from the HIRA from a span of 5 yr (2004 to 2008). Data consisted of the patient's age, residence at diagnosis, treatment cost for BPH (medical and surgical), time to surgery from medication, emergency visits, etc. The HIRA is a non-profit governmental organization established to review medical fees and to evaluate the appropriateness of health care benefits that beneficiaries receive. The HIRA database contains reimbursement records from all medical facilities (~5-6 million inpatient-visits per year in about 1,100 hospitals and 25,000 private clinics) in Korea (7). The criteria to divide the residence at diagnosis into rural and urban depended on the locations of the clinics or hospitals which were visited by patients. In HIRA database, small and medium sized cities and farm villages are equivalent to the rural area, while large cities more than megalopolis correspond to the urban area (8).
We used all claims records of outpatient visits or hospital admissions of patients aged 20 yr or older, diagnosed with BPH (International Classification of Diseases [ICD]-10 diagnostic code: N40) as the primary diagnosis. We then assessed the seasonal and annualpatterns of hospital visits and duration of treatment due to BPH, as well as the changes in the amount of insurance payment for the diagnosis and treatment of BPH, during the research period. Hospital visit (HV) meant the number of days that the patients visited the hospital due to BPH and duration of treatment (DT) indicated the period of prescription if the patients received medications due to BPH. Total amount of insurance payment (TAIP) gave the information of the total cost of national insurance payment for BPH within one year, and per capitainsurance payment (PCIP) signified calculated values using this total amount of insurance payment and national population data (9, 10).
Age-specific number of HV and DT were presented, and differences over the years were analyzed with a Poisson analysis and the relative risk (RR) was estimated. RR was the calculated specific value which indicated the age-specific relative difference of HV, DT, and PCIP based on the value of 1. A time series analysis was performed to explore the seasonal and annual variation of the amount of HV, DT, TAIP, and PCIP. The Durbin-Watson test was used to evaluate self-correlations of error. To remove the self-correlations of error, a stepwise autoregressive process was performed using the Yule-Walker method. A Poisson regression analysis was done to estimate the RR of annual variation, age difference, number of HV, and DT for the PCIP. Age-specific PCIP was analyzed after age-standardization using data from the 2005 Census (9, 10), obtained from the Korean National Statistical Office. All hypotheses were evaluated in a 2-sided manner, and P value of <0.05 was considered significant.

Ethics statement

This study was exempted from review and evaluation by the institutional review board of the Boramae Medical Center, Seoul.

RESULTS

The total number of HV from 2004 to 2008 was 12,088,995. The number of visits increased with time and reached the almost 1.7 fold in 2008 compared to 2004 (Table 1). HV showed linearly increasing patterns from year to year (Fig. 1A). After a logarithmic transformation to remove an increasing tendency of the range of fluctuation, the linear pattern persisted. The total DT almost doubled from 3,463,520 days in 2004 to 6,598,787 days in 2008 (Table 1). DT demonstrated linearly increasing patterns from year to year (Fig. 1B). TAIP per year also showed a continuously growing pattern (Fig. 1C).
In the time series analysis using the stepwise autoregressive process, the amount of HVincreased every winter which demonstrated seasonality, repetition of a variation of patterns in a 12-month cycle (Fig. 2A, P=0.005). The DT (Fig 2B, P=0.058) and TAIP (Fig. 2C, P=0.544) also showed seasonality, but it was not statistically significant.
The annual variation of HV count was different across age groups (Fig. 3). Patients in the 20s showed a decrease in HV from year to year, those in the 30s showed an increase until 2006 and then a decrease, those in the 40s showed an increase throughout the study period. After a Poisson regression analysis, we found that HV were different depending on the age groups, years, and type of visit (inpatient or outpatient) (P<0.001). The interaction between age groups and years was significant (P<0.001), which meant that the variation of HV by year was significantly different depending on the age groups. Estimated RR is presented in Table 2. For patients in the 20s and 30s, HV significantly decreased 0.78 and 0.96 times, respectively, compared with that of the previous year. On the other hand, in patients in the 40s and above, HV significantly increased 1.10, 1.13, 1.17, and 1.16 times compared to the previous year. There was 11.45 times more outpatient HV than inpatient HV in the same age group and year.DT markedly increased in patients in the 60s and 80s (Fig. 3). The variation of DT by years was significantly different according to the age groups.
Per capita insurance payment (PCIP) increased with increasing age and with times (Table 3 and Fig. 3). The rate of increase was steeper in the age groups older than the 50s compared to the other age groups. In a significance test for the regression coefficient, we found that the PCIP were different depending on the age groups and years (P<0.001). The interaction between age groups and years was significant (P<0.001), which implied that the variation of PCIP by years was significantly different across the age groups. Estimated RR from the Poisson regression analysis is presented in the Table 3.
In patients in the 20s, PCIP significantly decreased 0.84 times compared with the previous year. On the other hand, in patients in the 30s or older, PCIP significantly increased 1.05, 1.20, 1.21, 1.21, and 1.20 times compared with the previous year. There was 2.93 times more outpatient PCIP than inpatient PCIP in the same age group and year. There was no regional difference between urban and rural areas in terms of HV count, DT, and TAIP due to BPH.

DISCUSSION

There is not a single developed country in which the importance of care due to BPH is not growing. The main contributors of the rising prevalence of BPH in Korea are suspected to be the elevated standard of living, westernized diet with increased consumption of animal fat, and aging population (11). Although the fact that the prevalence of BPH increases with age is widely accepted and presumed to apply to the Korean society, the rate of increase in this study is noteworthy and greater than expected. In the US, the total rate of BPH procedures increased significantly after 2002 and was driven by a marked increase of new minimally invasive surgical technologies (MIST) (12, 13). Our data also shows a remarkable elevation in medical costs over a relatively short period of time, which is suspected to be due to not only a sharp upsurge of disease prevalence but also an increase in physicians' interests, along with the expanded release of new BPH drugs and the increase in patients' treatment-seeking behaviors (13).
In this study, we demonstrated that the demand for BPH treatment nearly doubled throughout the 5 yr of study period. The DT was 3462273 days in 2004 and increased by 1.9-fold, to 6598787 days, in 2008. The HV was 1827996 days in 2004 and increased by 1.7-fold, to 3057111 days, in 2008. This rapid growth happened irrespective of regional differences such as whether the area is urban or rural, and regardless of practice patterns by urologists or non-urologists, whether inpatient or outpatient.
Our results showed the significant increase of BPH patients in the elderly. That was the reason why potentially BPH patients in the elderly were more diagnosed and treated after recent large-scale public advertisements and medical education about BPH. In other words, in the past, elderly patients suffering from voiding problem due to BPH did not know the cause of the problem and the solving methods. But these days, awareness of BPH was wide spread and people could easily access the medical knowledge, elderly BPH patients had more chance to receive the proper medical care (14).
By analyzing the hospital visits, we found that the frequency of hospital visits started to increase in the autumn and peaked in December in a similar pattern every year from 2004 to 2008. From February to April, when the temperature was warmer, the number of hospital visits was fewer. The difference between the number of hospital visits in the colder season and the warmer season reached 1.2 fold. In Korea, the annual mean temperature ranges from 10 to 16 degrees Celsius except in the high mountain areas and islands. The warmest month is August, whereas January is the coldest one. The monthly mean temperature ranges from 23 to 27 in August and from -6 to +7 degrees Celsius in January (15). A majority of urologists have experienced the seasonal variation and rising tendency of BPH incidence in the winter, and such a phenomenon has been confirmed with solid evidence based on a large population data (16, 17). It is presumed that our body is too slow to adapt to the sudden change in temperature in the winter (18, 19). In addition, alcohol consumption rapidly increases at the end of the year in Korea, deteriorating LUTS in BPH patients and occasionally leading to the most serious complication of BPH: acute urinary retention (AUR) (20). Higher rates of cold medicine intake could be another explanation for worsening BPH symptoms in the winter. Alpha-adrenergic agonists, which are a common component of over-the-counter cold medicines, may precipitate urinary retention by enhancing bladder outlet resistance (21, 22). Hormonal variation could be another answer for this matter. Testosterone is considered to play a permissive role in BPH (23). The reports are inconsistent and controversy persists on the seasonal variation of testosterone, but in the largest cross-sectional study, that analyzed archival data from 4,462 US veterans aged 32-44 yr, there was a report of a seasonal peak of total testosterone in December (24).
The amount of HVincreased every winter which demonstrated statically significant seasonality, but the DT and TAIP were not showed significant pattern.The reasons were suggested that HV was directly influenced and changed by seasonality, but DT and TAIP were not. For example, even though a patient visited hospital due to aggravating voiding symptoms in winter, the diagnostic procedures or medications were not changed because of season of winter, rather influenced by physician or medical costs.
Until recently, studies on the health care costs of BPH were reported mostly in Western societies (25, 26). In the pharmacy and medical claims data obtained from 61 US healthcare plans, 77,040 patients aged over 45 yr were examined, and the overall average annual cost of diagnosis and management for BPH was 31.4 million USD. Based on US Census estimates (July 2003), the direct cost estimate was approximately 3 billion USD for the year after BPH diagnosis. Through this study, we figured out that Korean TAIP in 2008 was 66 million USD (1 USD=1,103.36 Korean Won [KRW] in 2008) which were relatively small expenditure of BPH costs compared to the United States. However, it is not possible to describe briefly the gap between the two countries, because the medical system of Korea and the United States was totally different. To explain the discrepancy of medical costs between Korea and other countries would be an interesting subject in future research.
The present study has several limitations that require consideration because of the methodological modality using the insurance claim data, as was the case for several studies reported in similar manner (4, 5, 26, 27). Not all patients with BPH have access to hospitals. The insurance claims records might have underestimated the entire BPH population if many patients with BPH were not diagnosed or treated in health care institutions. Misclassifications of disease or coding errors for diagnosis could have occurred. Additionally, only a single claim with a BPH diagnosis was used to identify patients with the condition, so the incidence of this condition might be overestimated in the database because a single patient may have visited clinics several times a year. This study reflects data only for the 5 yr from 2004 to 2005, which is a relatively short period of time. In addition, we did not have detailed clinical information for each patient, including symptom severity, duration, prostate size, and other medical or surgical history. Using the HIRA data, we did not demonstrated cost of each treatment modalities. However, as was shown in the US (12), MIST has gained enormous attention from the urologists and the number of MIST performed is also increasing in Korea. Additional researches are warranted.
Despite these limitations, however, this study has important implications. This is the first nation-wide, population-based study demonstrating not only seasonal and age-specific variation in the incidence of BPH, but also the amount of the economic costs for BPH patients in Korea. Therefore, our large-scale data could provide the most reliable information about the incidence of BPH and its cost for researchers and authorities formulating health care policy. Health care utilization due to BPH is rapidly increasing in Korea and is more remarkable in the elderly population. Seasonal variations in HV demonstrated that there was an increase in the winter. Our study is the largest scale population study, as well as the most objective clinical data in Korea, so it could provide fundamental epidemiological information on BPH.

Figures and Tables

Fig. 1

The linearly increasing pattern of BPH health utilizationfrom year to year. (A) Hospital visits (days) per month, (B) Duration of treatment (days) per month, and (C) Total amount of insurance payment (Korean won [KRW]) per month.

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Fig. 2

The seasonality of BPH health utilization in the time series analysis. Quarterly amount of: (A) Hospital visits per month. (B) Duration of treatment per month. (C) Total amount of insurance payment per month show seasonality. The unit of Y axis indicates percent ratio of quarter amount of hospital visits, duration of treatment and total amount of insurance payment for each year, respectively.

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Fig. 3

The annual variation of BPH health utilization across age groups. (A) Hospital visits (days) per year by age groups. (B) Duration of treatment (days) per year by age groups. (C) Per capita amount of insurance payment (Korean won) per year by age group.

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Table 1

Hospital visits and duration of treatment by age groups and by years

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Age (yr) Hospital visit by year (No.)
2004 2005 2006 2007 2008 Subtotal
Inpatient Outpatient Inpatient Outpatient Inpatient Outpatient Inpatient Outpatient Inpatient Outpatient
20s 72 1,960 43 1,662 26 1,767 52 856 36 684 7,158
30s 924 19,474 1,099 20,207 1,299 20,311 1,247 17,225 760 16,837 99,383
40s 5,649 110,862 7,502 118,759 7,366 141,098 6,336 150,749 7,037 160,455 715,813
50s 21,263 341,120 24,517 382,598 29,495 464,709 29,654 504,770 26,379 553,075 2,377,580
60s 56,007 639,286 68,017 701,119 74,345 818,942 76,642 921,221 78,455 1,043,364 4,477,398
70s 44,946 444,778 52,426 510,746 68,036 616,242 82,399 716,297 83,302 833,513 3,452,685
>80s 15,582 124,806 16,101 142,189 23,133 166,459 28,483 189,011 32,525 220,689 958,978
Subtotal 144,443 1,682,286 169,705 1,877,280 203,700 2,229,528 224,813 2,500,129 2,288,494 2,828,617
Total 1,826,729 2,046,985 2,433,228 2,724,942 3,057,111 12,088,995
Age (yr) Duration of treatment by year (days)
2004 2005 2006 2007 2008 Subtotal
Inpatient Outpatient Inpatient Outpatient Inpatient Outpatient Inpatient Outpatient Inpatient Outpatient
20s 111 2,414 123 1,925 86 1,855 86 927 57 844 8,428
30s 1,426 24,316 1,574 24,736 1,871 24,090 2,013 20,486 1,695 20,564 122,771
40s 7,761 136,217 10,142 143,254 10,533 175,727 9,925 189,279 11,550 206,786 901,174
50s 32,435 713,919 36,367 829,935 45,680 956,906 45,912 990,598 46,198 1,017,950 4,715,900
60s 92,490 1,017,676 105,926 1,256,252 119,984 1,624,750 126,144 2,047,781 134,570 2,597,312 9,122,976
70s 75,740 1,148,624 85,228 1,286,461 109,966 1,488,953 128,577 1,636,818 136,303 1,907,998 8,004,668
>80s 26,885 183,415 26,936 220,867 35,950 278,786 41,908 343,601 47,988 428,972 1,675,308
Subtotal 236,848 3,226,672 266,296 3,763,430 324,070 4,551,067 354,565 5,229,490 378,361 6,220,426
Total 3,463,520 4,029,726 4,875,137 5,584,055 6,598,787 24,551,225
Table 2

Relative risk (RR) estimated by Poisson regression analysis

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Age groups RR Lower 95% CI Upper 95% CI
Hospital visits 20s 0.78 0.769 0.796
30s 0.96 0.954 0.963
40s 1.10 1.095 1.100
50s 1.13 1.124 1.129
60s 1.13 1.127 1.132
70s 1.17 1.170 1.176
> 80s 1.16 1.159 1.165
Outpatient 11.45 11.423 11.473
Duration of treatment 20s 0.77 0.758 0.782
30s 0.96 0.898 1.020
40s 1.11 1.046 1.188
50s 1.09 1.022 1.161
60s 1.26 1.178 1.337
70s 1.14 1.067 1.211
> 80s 1.26 1.180 1.340
Outpatient 14.74 14.713 14.759
Per capita insurance payment 20s 0.84 0.837 0.838
30s 1.05 1.046 1.047
40s 1.20 1.204 1.205
50s 1.21 1.207 1.208
60s 1.21 1.209 1.209
70s 1.21 1.207 1.207
> 80s 1.20 1.204 1.205
Outpatient 2.93 2.932 2.932
Table 3

Per capita insurance payment by age groups and years (Korean Won [KRW])

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Age groups 2004 2005 2006 2007 2008
20s 8 7 8 5 3
30s 86 91 103 97 104
40s 498 557 790 913 1,012
50s 2,632 3,062 4,426 4,950 5,514
60s 8,086 9,059 12,695 14,861 16,636
70s 13,482 15,181 21,101 24,490 27,710
> 80s 15,263 16,964 23,089 26,757 31,134

Average exchange rate in 2008 was 1 USD=1,103.36 KRW.

Notes

This study was granted by fund from the Korean Prostate Society 2010.

The authors have no relevant financial relationships to disclose or conflicts of interest to report.

Conceived and designed the experiments: Son H, Lee KS. Performed the experiments: Son H, Lee KS, Park J, Song SS. Analyzed the data: Son H, Song SS. Contributed reagents/materials/analysis tools: Kang JY, Hong SK, Lee HM. Wrote the first draft of the manuscript: Son H, Song SS, Lee KS. Wrote the paper: Son H, Song SS, Park J. ICMJE criteria for authorship read and met: Kim SH, Park BJ, Lee HL. Agree with manuscript results and conclusions: Son H, Lee KS. Enrolled patients: Son H, Kang JY, Hong SK, Lee HM, Kim SH, Lee HL, Lee KS.

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TOOLS
ORCID iDs

Hwancheol Son
https://orcid.org/http://orcid.org/0000-0001-5033-0153

Juhyun Park
https://orcid.org/http://orcid.org/0000-0002-5549-9756

Sang Hoon Song
https://orcid.org/http://orcid.org/0000-0003-4888-483X

Jung Yoon Kang
https://orcid.org/http://orcid.org/0000-0003-4200-1020

Sung Kyu Hong
https://orcid.org/http://orcid.org/0000-0002-8344-6774

Hyun Moo Lee
https://orcid.org/http://orcid.org/0000-0003-3969-4540

Sun-Hee Kim
https://orcid.org/http://orcid.org/0000-0002-7120-8250

Byung-Joo Park
https://orcid.org/http://orcid.org/0000-0003-4630-4942

Hyung-Lae Lee
https://orcid.org/http://orcid.org/0000-0002-4338-7423

Kyung Seop Lee
https://orcid.org/http://orcid.org/0000-0002-0554-4272

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