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Trend Analysis of Medical Care Utilization among People with Autistic Spectrum Disorder Using National Health Insurance Data

자폐성장애인의 의료이용 경향분석 및 시사점 : 국민건강보험자료를 이용한 융복합적 접근

  • Yun, Jieun (Department of Pharmaceutical Engineering, Cheongju University) ;
  • Kim, Hyun Joo (Department of Nursing Science, Shinsung University)
  • 윤지은 (청주대학교 이공대학 제약공학과) ;
  • 김현주 (신성대학교 간호학과)
  • Received : 2018.09.28
  • Accepted : 2018.11.20
  • Published : 2018.11.28

Abstract

The purpose of this study was to estimate the current status and trends of healthcare utilization among people with ASD. Using National Health Insurance open database, from 2010 to 2017. We analyzed the treatment prevalence for people with ASD, the pattern of healthcare utilization, the difference in medical care utilization according to age, and the type and location of main medical institutions. The main results of the study are as follows: First, the medical utilization has been continuously increasing from 2010 to 2017. The total amount of medical utilization is increased by 50% in 2017 compared to 2010, and the treatment prevalence was estimated to be 79.1% in 2017 and medical uses for the next three years is also increasing. Second, the pattern of medical care utilization varied widely according to age, especially after 20 years of age. Third, the types of medical institutions that were mainly used were 45.6% in the medical clinic and 35.9% in Seoul. The results of this study can be used as a minimum reference point of evaluating the effectiveness of government policy on future autistic disorders. However, further studies are required to increase the prevalence of treatment for autistic patients and to find out the difference in medical use according to age.

자폐성장애는 의학적인 조기 진단과 치료가 중요하고, 성인기에도 정기적으로 의학적 상태를 점검하는 것이 필요하다. 이 연구는 자폐성장애인에 대한 융복합적 접근을 위해 국민건강보험자료를 이용하여 자폐성장애인의 의료이용 경향과 추이 분석 및 시사점을 도출을 목적으로 하였다. 보건의료빅데이터개방시스템을 이용하여 2010년부터 2017년까지 자폐성장애인의 치료유병률, 의료이용 양상, 연령 구간에 따른 의료이용의 차이, 주 이용 의료기관 유형 및 소재지를 분석하였다. 연구결과 첫째, 자폐성 장애인의 2017년의 의료이용량은 2010년에 비해 50%이상 증가하였고 치료유병률은 79.1%로 추정되었으며, 향후 3년간 의료이용을 예측한 결과 지속적으로 증가하는 것으로 나타났다. 둘째, 자폐성 장애인의 의료이용은 연령구간에 따른 편차가 컸으며 특히 20세 이후에 의료이용량이 급감하였다. 셋째, 주로 이용하는 의료기관 유형은 의원급(45.6%)이었으며 서울(35.9%) 소재 의료기관을 주로 이용하는 것으로 나타났다. 이번 연구결과는 향후 정부의 자폐성장애관련 정책의 실효성 평가에 최소 기준점으로 활용할 수 있을 것이다. 그러나 자폐성 장애인의 치료유병률 향상 방안 및 연령별 의료이용량 차이의 원인 등에 대해 추가적인 연구가 필요하다.

Keywords

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Fig. 1. Trends and predictions in Medical Utilization of Autism Spectrum Disorders (p<0.05)

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Fig. 2. Trend of Autism Spectrum Disorder by Gender and Age (2017)

Table 1. Operational definitions of autism spectrum disorder using ICD-10 code

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Table 2. Medical Utilization Change of Autism Spectrum Disorder

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Table 3. Medical utilization pattern of autistic spectrum disorders by gender, age group

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Table 4. Medical uses status of Autism Spectrum Disorder according to type of medical institution.

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Table 5. Autism Spectrum Disorder by Medical Institution Location

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References

  1. H. G. Yeo. (2017. 9. 7). "Please let me build a school" Gangseo-gu residents who insult parents of children with disabilities kneeling down, News of JoongAng Ilbo.(Online). https://news.joins.com/article/21915919
  2. Y. S. Jung. (2017. 9. 7). Parents kneeling for permission to establish a school for disabled students "Do not show!" An inhabitant, News of SBS https://news.sbs.co.kr/news/endPage.do?news_id=N1004 384095
  3. Ministry of Health and Welfare (2018), Announcement of comprehensive plans for lifelong care for people with developmental disabilities, http://www.mohw.go.kr/react/al/sal0301vw.jsp?PAR_M ENU_ID=04&MENU_ID=0403&CONT_SEQ=346056&page=1
  4. Centers for Disease Control and Prevention, (2018). Autism spectrum disorder (ASD): data & statistics, http://www.cdc.gov/ncbddd/autism/data.html.
  5. Autism Speaks. (2018), What Is Autism?, https://www.autismspeaks.org/what-autism.
  6. A. J. Baxter, T. S. Brugha, H. E. Erskine, R. W. Scheurer, T. Vos & J. G. Scott, (2015). The epidemiology and global burden of autism spectrum disorders. Psychological medicine, 45(3), 601-613. DOI: 10.1017/S003329171400172X
  7. R. Perou et al. (2013). Mental health surveillance among children-United States, 2005-2011. MMWR Surveill Summ, 62(2), 1-35.
  8. J. H. Yun & H. S. Yoon. (2018). Research Trends and Considerations in The Clinical Use of Robots for Children with Autism Spectrum Disorders. Journal of the Korea Convergence Society, 9(3), 153-163. https://doi.org/10.15207/JKCS.2018.9.3.153
  9. E. Y. Cho, H. M. Kim, D. H. Song & K. A. Cheon. (2017). The Analysis of K-WISC-IV Profiles in Children with High-Functioning Autism Spectrum Disorder. Journal of the Korea Convergence Society, 8(7), 341-348. https://doi.org/10.15207/JKCS.2017.8.7.341
  10. M. Fakhoury. (2015). Autistic spectrum disorders: A review of clinical features, theories and diagnosis. International Journal of Developmental Neuroscience, 43, 70-77. DOI: 10.1016/j.ijdevneu.2015.04.003
  11. D. L. Leslie et al. (2017). Medicaid waivers targeting children with autism spectrum disorder reduce the need for parents to stop working.. Health Affairs, 36(2), 282-288. DOI: 10.1377/hlthaff.2016.1136
  12. B. Barrett et al. (2015). Comparing service use and costs among adolescents with autism spectrum disorders, special needs and typical development. Autism, 19(5), 562-569. DOI: 10.1177/1362361314536626
  13. J. S. Karst & A. V. Van Hecke. (2012). Parent and family impact of autism spectrum disorders: A review and proposed model for intervention evaluation. Clinical child and family psychology review, 15(3), 247-277. DOI: 10.1007/s10567-012-0119-6
  14. A. Ghanizadeh, M. J. Alishahi & H. Ashkani. (2009). Helping families for caring children with autistic spectrum disorders. Archives of Iranian Medicine. 12(5), 478-82.
  15. A. V. Buescher, Z. Cidav, M. Knapp & D. S. Mandell. (2014). Costs of autism spectrum disorders in the United Kingdom and the United States. JAMA pediatrics, 168(8), 721-728. DOI: 10.1001/jamapediatrics.2014.210
  16. F. Yaylaci & S. Mira. (2017). A comparison of DSM-IV-TR and DSM-5 diagnostic classifications in the clinical diagnosis of autistic spectrum disorder. Journal of autism and developmental disorders, 47(1), 101-109. DOI: 10.1007/s10803-016-2937-8
  17. World Health Organization: International Statistical Classification of Diseases and Related Health Problems, 10th Revision. (1992). Geneva: World Health Organization.
  18. Health Insurance & Assesment service. (2018). Healthcare Bigdata Hub, http://opendata.hira.or.kr/home.do
  19. A. Vanasse, J. Courteau, M. J. Fleury, J. P. Gregoire, A. Lesage & J. Moisan. (2012). Treatment prevalence and incidence of schizophrenia in Quebec using a population health services perspective: different algorithms, different estimates. Social psychiatry and psychiatric epidemiology, 47(4), 533-543. DOI: 10.1007/s00127-011-0371-y
  20. J. Guan & G. Li. (2017). Injury mortality in individuals with autism. American journal of public health, 107(5), 791-793. DOI: 10.2105/AJPH.2017.303696
  21. Y. S. Kim et al. (2011). Prevalence of autism spectrum disorders in a total population sample. American Journal of Psychiatry, 168(9), 904-912. DOI: 10.1176/appi.ajp.2011.10101532
  22. P. C. Pantelis & D. P. Kennedy. (2016). Estimation of the prevalence of autism spectrum disorder in South Korea, revisited. Autism, 20(5), 517-527. DOI: 10.1177/1362361315592378
  23. M. Elsabbagh et al. (2012). Global prevalence of autism and other pervasive developmental disorders. Autism research, 5(3), 160-179. DOI: 10.1002/aur.239
  24. A. J. Baxter, T. S. Brugha, H. E. Erskine, R. W. Scheurer, T. Vos & J. G. Scott. (2015). The epidemiology and global burden of autism spectrum disorders. Psychological medicine, 45(3), 601-613. DOI: 10.1017/S003329171400172X
  25. Y. Kim et al. (2013). A New Disability-related Health Care Needs Assessment Tool for Persons With Brain Disorders. Journal of Preventive Medicine and Public Health, 46(5), 282-290. DOI: 10.3961/jpmph.2013.46.5.282
  26. M. S. Kim, N. G, Lim, H. J. Kim, C. Kim & J. Y. Lee. (2017). Pediatric Deaths Attributed to Complex Chronic Conditions over 10 Years in Korea: Evidence for the Need to Provide Pediatric Palliative Care. Journal of Korean medical science, 33(1). DOI: 10.3346/jkms.2018.33.e1