• Title/Summary/Keyword: charged retirement home

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The Factors Influencing the Utilization of Charged Retirement Home Services by Stage of Decision-Making (유료양로시설 이용의 의사결정 단계별 결정요인)

  • 이성학
    • Health Policy and Management
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    • v.9 no.1
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    • pp.110-138
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    • 1999
  • This study intended to understand the factors influencing the utilization of charged retirement home services for the elderly by stage of discision making. At the same time the purpose of the study is also to present the results of this study as data for the expectation of the demand. The subject of this study was non-utilizer (635 persons) and utilizer (62 persons) of charged retirement home services over the age of sixty. Non-utilizer was selected by random sampling in urban and rural area, and utilizer was investigated by census survey in the three charged retirement home. The research method was interview survey by questionaire. The questionaire was composed of 59 items, 25 variables, 5 components. The research model was to add Andersen's Prediction Model. The components were predisposing component, enabling component, need component, actualizing component, psychologic component. The results of this study were as follows. 1)In the stage of recognizing the residence problem, the recognizer were 76.7% (487 persons) of all the non-utilizer. The factors of influencing were property (B=-4.1E-05), solidarity with children (B=-.1070), house satisfaction (B=-.2517), need of charged retirement home (B=.2614). 2)In the stage of selecting an altenative as utilizing of charged retirement home services, the selecter were 41.1% (261 persons) of all the non-utilizer. The factors of influencing were perception of charged retirement home (B=.2790), need of charged retirement home (B=.2971). 3)In the stage of decion-making, the decider were 29.6% (188 persons) of all the non-utilizer. The factor of influencing was need of charged retirement home (B=.3570). 4)In the stage of the actualization, the factors of influencing were charge ability of utilization (B=.1025), significant others (B=.1868). The upper results were implemented by using the statistical methods of frequency, t-test, $$\chi$^{2}$-test, multiple logistic regression ( and P 〈 .05 ).