Journal of Digital Convergence (디지털융복합연구)

The Society of Digital Policy and Management (한국디지털정책학회)
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Predictors of Social Service Utilization of Elderly Using the Anderson model

Anderson 모형을 이용한 노인의 사회서비스 이용 예측요인

  • Received : 2014.05.18
  • Accepted : 2014.08.20
  • Published : 2014.08.28
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Abstract

Traditionally, Anderson model is recognized as suitable for analysis of predictive factors for the use of medical and social services. Therefore, the present study was aimed to investigate the predictors of the elderly's use of the social service based on previous studies by configuring Anderson model's predisposing factors(gender, age, education level, place of residence, marital status), enabling factors(economic status, health literacy, use of welfare center or not), and need factors(whether held chronic disease, IADL and depression). To this aim, SPSS 18.0 was used for the subject of 329 elderly living in Chungbuk region. The main findings of this study are as follows. The most influential factor on the social service use of the elderly turned out to be whether to use the welfare centers and health literacy of enabling factors. Next, the depressed levels showed the most significant impact among the need factors, and gender was the most influential among the predisposing factors. Based on the results of these studies, some measures were suggested to activate the elderly's use of social services.

전통적으로 Anderson 모형은 의료 및 사회서비스 이용에 대한 예측요인을 분석하는데 적합하다는 평가를 받는다. 따라서 본 연구는 선행연구를 토대로 Anderson 모형의 선행요인(성별, 연령, 교육수준, 거주 지역, 결혼상태), 가능요인(경제상태, 건강정보 이해능력, 복지관 이용 여부), 욕구요인(만성질환 보유 여부, 도구적 일상생활수행능력, 우울) 등을 구성하여 노인들의 사회서비스 이용 예측요인을 탐색하였다. 본 연구를 위해 SPSS 18.0을 이용하였으며, 충북 지역에 거주하는 329명의 노인들을 대상으로 하였다. 본 연구의 주요 결과는 다음과 같다. 노인들의 사회서비스 이용에 가장 큰 영향을 미치는 요인은 가능요인의 건강정보 이해능력과 복지관 이용 여부로 나타났다. 그 다음으로는 욕구요인 중에서 우울 수준이 큰 영향을 미치는 것으로 나타났으며, 선행요인 중에서는 성별이 큰 영향을 미치는 것으로 나타났다. 이러한 연구결과에 기초하여 노인들의 사회서비스 이용을 활성화하기 위한 몇 가지 방안을 제시하였다.

Keywords

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