Challenges and Opportunities for Occupational Therapy in Big Data Research

다국어 초록 (Multilingual Abstract)

The advance of information technology with governmental support allows researchers to utilize big data to conductrigorous rehabilitation-related studies in both the United States and Korea. While big data research has beenactively conducted in the United States, few Korean rehabilitation scientists currently conduct big data research. Inthis paper, we discuss the existing rehabilitation-related big data in Korea and introduce the current big dataresearch trends in the United States. In addition, we provide potential research areas by discussing the previousbig data studies in the United States, including 1) functional outcomes, 2) geographical variation, 3) linkage of apopulation-based cohort to hospital data, 4) cross-national comparison, and 5) scale development. We also discussvarious statistical methods required in big data research and compare how these methods differ compared to thetraditional research methods in rehabilitation research. Lastly, we discuss the importance of workforce developmentin rehabilitation-related big data research. We hope this paper will provide occupational therapy scientists andclinicians with practical and useful information about big data research and accelerate big data rehabilitationresearch communities in Korea.

참고문헌 (Reference)

1 차유진, "보건의료 빅데이터를 이용한 전문재활치료 건강보험수가 현황 분석: ICF 모델을 중심으로" 대한작업치료학회 25 (25): 1-17, 2017

2 조승현, "공공데이터를 이용한 치매안심센터 작업치료 비용편익분석" 대한작업치료학회 26 (26): 99-112, 2018

3 부가청, "고령화연구패널조사의 국제비교연구 활용 가능성" 한국조사연구학회 7 (7): 97-122, 2006

4 조승현, "건강보험급여 기반의 작업치료 진료행위 현황에 관한 연구 : 2011~2015년" 대한작업치료학회 24 (24): 135-147, 2016

5 Bret T. Howrey, "Trajectories of Functional Change After Inpatient Rehabilitation for Traumatic Brain Injury" Elsevier BV 98 (98): 1606-1613, 2017

6 Kaiser Family Foundation, "Total number of Medicare beneficiaries"

7 Denny, J. C., "The “All of Us” Research Program" Massachusetts Medical Society 381 (381): 668-676, 2019

8 Cieza, A., "The English are healthier than the Americans: Really?" 44 (44): 229-238, 2015

9 Korean Statistical Information Service, "Statistical database"

10 Linacre, J. M., "Sample size and item calibration stability" 7 (7): 328-, 1994

11 "Rehabilitation Research Career Development Program, Training areas"

12 Timothy A. Reistetter, "Regional Variation in Stroke Rehabilitation Outcomes" Elsevier BV 95 (95): 29-38, 2014

13 Kline, R. B., "Principles and practice of structural equation modeling" Guilford publications

14 Yong-Fang Kuo, "Potentially Preventable Hospitalizations in Medicare Patients With Diabetes" Ovid Technologies (Wolters Kluwer Health) 53 (53): 776-783, 2015

15 Bianca K. Frogner, "Physical Therapy as the First Point of Care to Treat Low Back Pain: An Instrumental Variables Approach to Estimate Impact on Opioid Prescription, Health Care Utilization, and Costs" Wiley 53 (53): 4629-4646, 2018

16 I. Hong, "Physical Activity and the Risk of Depression in Community-Dwelling Korean Adults With a History of Stroke" Oxford University Press (OUP) 2016

17 Harvey Goldstein, "Partitioning variation in multilevel models" Informa UK Limited 1 (1): 223-231, 2002

18 Rosenbaum, P. R., "Observational studies" Springer 2002

19 Centers for Disease Control Prevention, "National health and nutrition examination survey"

20 National Institutes of Health, "NIH strategic plan for data science"

21 Centers for Medicare and Medicaid Services, "Medicare program; Hospital inpatient prospective payment systems for acute care hospitals and the long-term care hospital prospective payment system and fiscal year 2014 rates; Quality reporting requirements for specific providers; Hospital conditions of participation; Payment policies related to patient status. Final rules" 78 (78): 50495-51040, 2013

22 Ottenbacher, K., "Long-term health outcomes in Mexican American older adults" University of Texas Medical Branch: National Institutes of Health (NIH)

23 Reistetter, T., "Instrumental variable analysis for stroke rehabilitation outcomes comparing inpatient rehabilitation and skilled nursing facilities" 2019

24 "Improving Medicare Post-Acute Transformation Act of 2014"

25 World Health Organization, "Health system financing"

26 Centers for Medicare and Medicaid Services, "Health information technology for economic and clinical health act-electronic health record incentive program; Final rule. 2010"

27 Organization for Economic Co-operation and Development, "Health at a glance 2015:OECD indicators" OECD Publishing 2015

28 Shih, R. A., "Harmonization of cross-national studies of aging to the health and retirement study:Cognition"

29 Timothy A. Reistetter, "Geographic and Facility Variation in Inpatient Stroke Rehabilitation: Multilevel Analysis of Functional Status" Elsevier BV 96 (96): 1248-1254, 2015

30 Addie Middleton, "Facility and Geographic Variation in Rates of Successful Community Discharge After Inpatient Rehabilitation Among Medicare Fee-for-Service Beneficiaries" American Medical Association (AMA) 1 (1): e184332-, 2018

31 Gillon, R., "Ethics needs principles-four can encompass the rest-and respect for autonomy should be"first among equals"" 29 (29): 307-312, 2003

32 James E. Graham, "Effects of Acute-Postacute Continuity on Community Discharge and 30-Day Rehospitalization Following Inpatient Rehabilitation" Wiley 52 (52): 1631-1646, 2017

33 Kweon, S. H., "Data resource profile : The Korea National Health and Nutrition Examination Survey(KNHANES)" 43 (43): 69-77, 2014

34 Minicuci, N., "Data resource profile : Cross-national and cross-study sociodemographic and health-related harmonized domains from SAGE plus ELSA, HRS and SHARE(SAGE+, Wave 1)" 45 (45): 1403-1403, 2016

35 Ickpyo Hong, "Cross-national health comparisons using the Rasch model: findings from the 2012 US Health and Retirement Study and the 2012 Mexican Health and Aging Study" Springer Science and Business Media LLC 27 (27): 2431-2441, 2018

36 Hong, I., "Comparing disability levels for community-dwelling adults in the United States and the Republic of Korea using the Rasch model" 19 (19): 114-128, 2018

37 Kim, Y. J, "Cohort profile: The Korean Genome and Epidemiology Study (KoGES) consortium" 46 (46): e20-e20, 2017

38 Alan R. Weil, "Big Data In Health: A New Era For Research And Patient Care" Health Affairs (Project Hope) 33 (33): 1110-1110, 2014

39 Wright, B. D., "Best test design" Mesa Press 1979

40 Rosenbaum, P. R., "Assessing sensitivity to an unobserved binary covariate in an observational study with binary outcome" 212-218, 1983

41 "American Recovery and Reinvestment Act, Public law"

42 Henry, J., "Adoption of electronic health record systems among US non-federal acute care hospitals: 2008-2015" 35 : 1-9, 2016