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Preference and influencing factors for institute-based care of the elderly in Zhejiang Province |
LENG Zhi-wei, GUO Qing, LIU Li-yun, WU Mei-zhen, CHEN Mei-ling
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College of Humanities, Management, Zhejiang Chinese Medical University, Hangzhou, Zhejiang311402, China |
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Abstract Objective To learn the preference and determinants for institute-based care of the elderly in Zhejiang Province. Methods By multi-stage sampling and convenient sampling methods,three communities and three villages from Hangzhou,Jinhua and Yongkang as investigation spots,respondents who aged 60 years or above and lived for one year or more were selected for a questionnaire survey to learn their preference for institute-based care. Logistic regression analysis was used to explore the influencing factors for preference of institute-based care among the elderly. Results A total of 390 valid questionnaires were collected,accounting for 91.76%. Among them,there were 219 men and 171 women, accounting for 56.15% and 43.85; 155 old people chose institute-based care,accounting for 39.74%. The results of multivariate logistic regression analysis illustrated that the elderly who had three children or more had less preference for institute-based care(OR=0.072,95%CI:0.007-0.742);the elderly who lived with spouse(OR=0.395,95%CI:0.188-0.833),with children(OR=0.323,95%CI:0.132-0.791),with spouse and children(OR=0.305,95%CI:0.139-0.673),compared with the elderly who lived alone,had less preference for institute-based care;the elderly who lived in rural areas,compard with the elderly who lived in urban areas had less preference for institute-based care(OR=0.404,95%CI:0.224-0.730);the elderly without chronic diseases had less preference for institute-based care(OR=0.485,95%CI:0.292-0.805). Conclusion Having three or more children,living with spouse,living with children,living with spouse and children,living in rural areas and living without chronic diseases are determinants for choosing institute-based care among the elderly.
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Received: 12 February 2019
Revised: 09 March 2019
Published: 03 June 2019
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