Current Status of Long-term Care in Taiwan: Transition of Long-term Care Plan From 1.0 to 2.0

Yang, Chi‐Rei; Hsueh, Jui Yuan; Wei, Cheng

doi:10.15171/ijhpm.2019.115

Cited by 16 publications

(18 citation statements)

References 4 publications

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“…According to the World Bank, LTC financing can be classified into four systems: social insurance models (applied in Netherlands, Germany, Japan, and the Republic of Korea), the universal model (applied in Denmark, Finland and Sweden), means-tested systems (applied in the United Kingdom and the United States), and hybrid systems and approaches (applied in France) [4]. LTC financing in Taiwan is similar to the universal model (taxbased universal public LTC coverage), although a national LTC insurance system can also be built once the development of the service system is complete [5].…”

Section: Introductionmentioning

confidence: 99%

“…Providing care to the rising number of people with dementia remains a public health challenge for health systems worldwide. To tackle these issues, the Taiwanese government has devised a series of LTC-related policies, including the LTC 10-year plan version 1 (LTC 1.0) launched in 2007, and the reformed LTC plan version 2.0, launched in 2016 [6]. LTC 2.0 expanded the community-based and institutional residential dementia care resources already stated by the LTC 1.0 to include dementia patients over 50 years of age as a service target.…”

Section: Introductionmentioning

confidence: 99%

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Patterns of home- and community‐based services in older adults with dementia: an analysis of the long‐term care system in Taiwan

Wang

Jhang

et al. 2021

BMC Geriatr

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Background Understanding the specific characteristics of the patients with dementia is essential in developing services required to meet their needs. The purpose of this study was to investigate the patterns of use of home- and community-based services (HCBS) by patients with dementia and the factors influencing the utilisation of these services. Methods We analysed a dataset of patients with dementia receiving long-term care at a medical centre. All participating patients were required to complete a structured interview form every 6 months to assess their need for service utilisation. Between 2015 and 2018, a total of 822 patients fulfilled the criteria for dementia, and 737 people had assessment records, of whom 244 had used social services. Robust Poisson regression analyses were performed to estimate HCBS usage and the factors influencing service utilisation. Results The overall service utilisation rate was 33 %. Most patients used only one service, and assistive devices were used as the main service. Regarding the factors influencing service use, dementia concomitant with dependency increased the use of HCBS. These results suggest that patients with mild dependency might prefer to use community support services, whereas those with moderate to severe dependency being more likely to utilise in-home care services. Conclusions This study provides empirical evidence regarding the use of long-term care resources by patients with dementia in the community. Providing customised HCBS, rather than a non-specialised service assumed to be suitable for every patient, is essential for ensuring good patient care. In addition, attention needs to be paid to patients with care needs who do not use HCBS.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Patterns of home- and community‐based services in older adults with dementia: an analysis of the long‐term care system in Taiwan

Wang

Jhang

et al. 2021

BMC Geriatr

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“…At present, a single-dimension scale is widely used in disability grading research (4). The main reason is that the single-dimension scale is becoming more and more perfect and has high reliability (24)(25)(26)(27)(28). As for the main grading research methods, the micro-simulation prediction method is more and more applied due to its higher prediction accuracy.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China

Liu

2021

Front. Public Health

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Through assignment method, the total score of disability in multiple dimensions is obtained, and it is divided into five functional states—severe disability, partial disability, moderate disability, mild disability, and health—according to the score, and the probability of death is constructed. Using the Chinese Longitudinal Healthy Longevity Survey (CLHLS) database tracking survey data, by constructing a multistate transition probability matrix, the empirical calculation of the multistate disability transfer probability, with the help of the sixth national census data, we estimated maintenance time of each state, life expectancy, etc. The results show that the 3 year transfer probability of the initial healthy elderly is the highest, and the mortality rate is also the lowest. It can be found that the disability state transition probability measurement based on the data is more accurate than the model estimation; the disability scale and life expectancy estimated based on the multistate transition probability matrix are more reliable.

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“…In order to effectively provide long-term care to the elderly in the community, the Taiwan government proposed a 10-year long-term care project, namely Long-term Care Project 1.0 (LTCP 1.0), in 2007. The goal of the project was to establish a comprehensive community-based care system for (i) providing appropriate services to the elderly, (ii) improving the independence of the elderly, (iii) enhancing the quality of life, and (iv) maintaining autonomy and dignity [3]. Difference in gender, level of urbanization, culture, economy and health are also considered in this system.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Clinical Decision Support System for Assessing the Needs of a Long-Term Care Plan

Siu¹,

Tang²,

Choy³

et al. 2021

Recent Advances in Digital System Diagnosis and Management of Healthcare

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With the global aging population, providing effective long-term care has been promoted and emphasized for reducing the hospitalizations of the elderly and the care burden to hospitals and governments. Under the scheme of Long-term Care Project 2.0 (LTCP 2.0), initiated in Taiwan, two types of long-term care services, i.e., institutional care and home care, are provided for the elderly with chronic diseases and disabilities, according to their personality, living environment and health situation. Due to the increasing emphasis on the quality of life in recent years, the elderly expect long-term care service providers (LCSP) to provide the best quality of care (QoC). Such healthcare must be safe, effective, timely, efficiently, diversified and up-to-date. Instead of supporting basic activities in daily living, LCSPs have changed their goals to formulate elderly-centered care plans in an accurate, time-efficient and cost-effective manner. In order to ensure the quality of the care services, an intelligent clinical decision support system (ICDSS) is proposed for care managers to improve their efficiency and effectiveness in assessing the long-term care needs of the elderly. In the ICDSS, artificial intelligence (AI) techniques are adopted to distinguish and formulate personalized long-term care plans by retrieving relevant knowledge from past similar records.

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Current Status of Long-term Care in Taiwan: Transition of Long-term Care Plan From 1.0 to 2.0

Cited by 16 publications

References 4 publications

Patterns of home- and community‐based services in older adults with dementia: an analysis of the long‐term care system in Taiwan

Patterns of home- and community‐based services in older adults with dementia: an analysis of the long‐term care system in Taiwan

Research on Disability Grading Based on ICF Functional Framework: Empirical Evidence From Zhejiang Province, China

An Intelligent Clinical Decision Support System for Assessing the Needs of a Long-Term Care Plan

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