ArticleHealthcare (Basel, Switzerland)2019
Factors Influencing Long-Term Care Service Needs among the Elderly Based on the Latest Anderson Model: A Case Study from the Middle and Upper Reaches of the Yangtze River.
Article in Healthcare (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Observational
- Factors influencing senior care and living preferences among older adults in Jiangsu, China: a cross-sectional survey study.BMC health services research · 2024Article
- Family care and predictors of the disabled elderly in China: A cross-sectional study based on the Anderson model.PloS one · 2024Article
- Predictors of long-term care use - informal home care recipients versus private and public facilities residents in Poland.BMC geriatrics · 2023Article
- Determinants of province-based health service utilization according to Andersen' s Behavioral Model: a population-based spatial panel modeling study.BMC public health · 2023Article
- Article
- Factors influencing the satisfaction of community senior care services in China: an analysis based on an extended Anderson model.Frontiers in public health · 2023Article
- Article
- A systematic review to identify the use of stated preference research in the field of older adult care.European journal of ageing · 2022Review
- Community-Dwelling Older Adults' Intended Use of Different Types of Long-Term Care in China and Its Associated Factors Based on the Andersen Behavioral Model.International journal of environmental research and public health · 2022Article
- Implementation and Acceptance of Information and Communication Technology Incorporated into Long-Term Care.Healthcare (Basel, Switzerland) · 2022Article
- Seeking medical services among rural empty-nest elderly in China: a qualitative study.BMC geriatrics · 2022Article
- Impact of Economic Accessibility on Realized Utilization of Home-Based Healthcare Services for the Older Adults in China.Healthcare (Basel, Switzerland) · 2021Article
- Influencing Factors of Undermet Care Needs of the Chinese Disabled Oldest Old People When Their Children Are Both Caregivers and Older People: A Cross-Sectional Study.Healthcare (Basel, Switzerland) · 2020Article
- Factors Associated with Healthy Ageing, Healthy Status and Community Nursing Needs among the Rural Elderly in an Empty Nest Family: Results from the China Health and Retirement Longitudinal Study.Healthcare (Basel, Switzerland) · 2020Article
- Does COVID-2019 have an Impact on the Purchase Intention of Commercial Long-Term Care Insurance among the Elderly in China?Healthcare (Basel, Switzerland) · 2020Article
- Comparison of the Measurement of Long-Term Care Costs between China and Other Countries: A Systematic Review of the Last Decade.Healthcare (Basel, Switzerland) · 2020Review
- Effect Evaluation of the Long-Term Care Insurance (LTCI) System on the Health Care of the Elderly: A Review.Journal of multidisciplinary healthcare · 2020Review
- Health Insurance and Long-Term Care Services for the Disabled Elderly in China: Based on CHARLS Data.Risk management and healthcare policy · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The rapid growth of population aging makes providing adequate long-term care (LTC) services for the elderly a serious social dilemma in China. Thus, it is necessary to carry out a theoretical discussion on the LTC service needs of the elderly and find out their influencing factors. With four regions of the middle and upper reaches of the Yangtze River as the sample case, this study aims to explore the factors that affect LTC service needs of the elderly in the frame of the latest Anderson Model, which added psychosocial factors to predisposing characteristics, enabling factors, and need factors in the old version. Some interesting results have been found, for example, self-image evaluation is composed of several factors such as general physical health, attitude towards life, or psychosocial states. Finally, sub-analyses-namely, by age, by gender, and by educational level-were carried out since the choice of different long-term care service patterns is related to different age/gender/education groups.
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