The Korean Journal of Applied Statistics (응용통계연구)

The Korean Statistical Society (한국통계학회)
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A recommendation system for assisting devices in long-term care insurance

의사결정나무기법을 활용한 장기요양 복지용구 권고모형 개발

  • Han, Eun-Jeong (Health Insurance Policy Research Institute, National Health Insurance Services) ;
  • Park, Sanghee (Health Insurance Policy Research Institute, National Health Insurance Services) ;
  • Lee, JungSuk (Health Insurance Policy Research Institute, National Health Insurance Services) ;
  • Kim, Dong-Geon (Department of data & Information Science, Dongduk Women's University)
  • 한은정 (국민건강보험공단 건강보험정책연구원) ;
  • 박상희 (국민건강보험공단 건강보험정책연구원) ;
  • 이정석 (국민건강보험공단 건강보험정책연구원) ;
  • 김동건 (동덕여자대학교 정보통계학과)
  • Received : 2018.07.23
  • Accepted : 2018.10.18
  • Published : 2018.12.31
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Abstract

It is very important to support the elderly with disability ageing in place. Assisting devices can help them to live independently in their community; however, they have to be used appropriately to meet care needs. This study develops an assisting device recommendation system for the beneficiaries of long-term care insurance that include algorithms to decide the most appropriate type of assisting device for beneficiaries. We used long-term care (LTC) insurance data for grade assessment including 8,084 beneficiaries from July 2015 to June 2016. In addition, we collected standard care plans for assisting devices, that power-assessors made, considering their performance and ability that could subsequently be matched with grade assessment data. We used a decision-tree model in data-mining to develop the model. Finally, we developed 15 algorithms for recommending assisting devices. The findings might be useful in evidence-based care planning for assisting devices and can contribute to enhancing independence and safety in LTC.

노인의 신체기능에 부합하는 복지용구를 제공하는 것은 노인이 가능한 한 오랫동안 자신의 집과 지역사회에서 자립하여 생활할 수 있도록 돕기 위해 매우 중요하다. 본 연구는 수급자의 신체 및 인지 기능 상태를 고려하여 개개인에게 적합한 복지용구 품목을 권고할 수 있는 과학적인 복지용구 표준급여모형 알고리즘을 개발하고자 수행되었다. 모형개발에는 데이터마이닝기법인 의사결정나무를 활용하였다. 수급자 8,084명의 장기요양인정조사자료와 파워어세서가 작성한 표준급여계획, 수급자 특성 자료를 이용하여 데이터를 구축하였고, 15개 복지용구 품목별로 표준급여모형을 개발하였다. 본 연구는 노인장기요양보험의 복지용구 급여계획의 객관성 및 과학성을 확보하고 수급자의 자립생활과 안전을 향상시키는 데에 기여할 것으로 기대된다.

Keywords

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Figure 2.1. The standard model of assistive devices (detailed diagram).

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Figure 3.1. Mobile assistive devices algorithms.

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Figure 3.2. Sanitary assistive devices algorithms.

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Figure 3.3. Safety and preventive assistive devices algorithms.

Table 2.1. The dependent variable in the algorithms

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Table 2.2. The 88 items included in the algorithms

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Table 3.1. Recommendation status by item

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Table 3.2. Assessments of the algorithms

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Table 3.3. Distribution of specific assistive devices after applying the model

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