Does the planned long-term care policy in Taiwan meet the needs of people with disabilities?

Yen, Chia Feng; Chiu, Tai-Yuan; Liou, Tsan Hon; Liao, Hua; Li, Yi Shing; Liang, Chung Chao; Teng, Sue Wen

doi:10.1016/j.healthpol.2014.01.009

Cited by 8 publications

(6 citation statements)

References 20 publications

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“…Our findings show that people with dementia and stroke received the highest scores in WHODAS 2.0 Domain 1 (understanding and communicating), whereas people with spinal cord injury, and hearing impairment, and visual impairment received the lowest scores. In individuals whose scores were high in the domain of understanding and communicating, social welfare such as day care center for individuals with dementia, long-term care for individuals with mental illness, care-consultation services, and support for caregivers must be provided to improve the quality of care available to the individuals [ 27 ].…”

Section: Discussionmentioning

confidence: 99%

Measuring Disability and Its Predicting Factors in a Large Database in Taiwan Using the World Health Organization Disability Assessment Schedule 2.0

Chou

Chang

Escorpizo

et al. 2014

IJERPH

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The definition of disability had been unclear until the International Classification of Functioning, Disability, and Health was promulgated in 2001 by the World Health Organization (WHO). Disability is a critical but relatively neglected public-health concern. We conducted this study to measure disabilities by using the WHO Disability Assessment Schedule 2.0 (WHODAS 2.0) and identify the factors that contribute to disabilities. We obtained and analyzed the data on people who applied to Taiwan’s disability registration system between September 2012 and August 2013. A total of 158,174 cases were selected for this study. Among the people included in this study, 53% were male, and the females were on average 3 years older than the males. More males than females were of a low socioeconomic status, but the rate of employment was higher among the males than among the females. Age, sex, place of residence, and types and severity of impairment were all determined to be factors that independently contributed to disability. This study has demonstrated that disability can be measured and compared using WHODAS 2.0. Increasing the public-health attention devoted to disability and identifying the factors associated with disability can promote independence and social participation in people with disabilities.

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Section: Discussionmentioning

confidence: 99%

Measuring Disability and Its Predicting Factors in a Large Database in Taiwan Using the World Health Organization Disability Assessment Schedule 2.0

Chou

Chang

Escorpizo

et al. 2014

IJERPH

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“…The World Health Organization Disability Assessment Schedule II (WHO-DAS II) was developed based on the concepts and theoretical models of the 2001 International Classi cation of Functioning, Disability and Health, regarding the general evaluation and measurement of health conditions, disabilities, and psychometric variables [44]. The WHO-DAS II provides a standardized cross-cultural method for measuring the health and disability status of adults (aged over 18 years) over a 30-day period and contains 32 items covering six domains: cognition, mobility, self-care, getting along with people, activities of daily life, and social participation [45].…”

Section: Activity and Participation (Who-das Ii)mentioning

confidence: 99%

A Self-Efficacy-Enhancing Intervention for Chinese Patients after Total Hip Arthroplasty: Study Protocol for A Randomized Controlled Trial with 6-Month Follow-Up

Deng¹,

Chen²,

Zhang³

et al. 2021

Preprint

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Background: Total hip arthroplasty (THA) is a common and effective surgical method for advanced hip arthritis. Rehabilitation exercises are important to improve joint function after THA and are usually conducted in a home-based program. Poor patient adherence limits improvements in pain and function, affecting quality of life. The increasing use of THA in the aging Chinese population underscores the need to develop strategies that maximize functional outcomes. The purpose of this pilot study is to develop and assess the feasibility of a self-efficacy-enhancing intervention (SEEI) to improve exercise adherence in patients undergoing THA. Methods: This single-blinded, parallel, randomized control trial will recruit 150 patients after THA and randomly assign them to an intervention or control group using computer-generated block randomization. The control group will receive usual care using evidence-based guidelines. The intervention group will receive the 6-month SEEI comprising personalized exercise guidance and self-efficacy education delivered using one face-to-face education session and four telephone consultations, supplemented by written materials. Participants are encouraged to build confidence in their own abilities, set rehabilitation goals, and self-monitor their physical exercise. Results: Assessments will be conducted at baseline, and 1, 3, and 6 months postsurgery. The outcome indicators are exercise adherence, physical function, anxiety and depression, self-efficacy of rehabilitation, joint function, and quality of life.Conclusions: This study will test a theory-based intervention program to improve self-efficacy in rehabilitation, which may significantly impact out-of-hospital rehabilitation. The results will provide evidence to inform the postoperative recovery of patients undergoing THA or similar procedures.Trial registration: Chinese Clinical Trials Registry (ChiCTR2000029422), registered 31 January 2020.

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“…With the rapid growth in the elderly population, the resulting long-term demands and family care responsibilities will become increasingly heavy. In order to construct a long-term care system that meets the needs of the elderly as well as the physically and mentally handicapped, the Executive Yuan of Taiwan passed the "10-year long-term care program 2.0" on 29 September 2016 [5]. Meanwhile, the Taiwan government strongly applied the use of various Internet of Things (IoT) applications in the "10-year long-term care program 2.0".…”

Section: Introductionmentioning

confidence: 99%

IoT-Based Image Recognition System for Smart Home-Delivered Meal Services

et al. 2017

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Population ageing is an important global issue. The Taiwanese government has used various Internet of Things (IoT) applications in the "10-year long-term care program 2.0". It is expected that the efficiency and effectiveness of long-term care services will be improved through IoT support. Home-delivered meal services for the elderly are important for home-based long-term care services. To ensure that the right meals are delivered to the right recipient at the right time, the runners need to take a picture of the meal recipient when the meal is delivered. This study uses the IoT-based image recognition system to design an integrated service to improve the management of image recognition. The core technology of this IoT-based image recognition system is statistical histogram-based k-means clustering for image segmentation. However, this method is time-consuming. Therefore, we proposed using the statistical histogram to obtain a probability density function of pixels of a figure and segmenting these with weighting for the same intensity. This aims to increase the computational performance and achieve the same results as k-means clustering. We combined histogram and k-means clustering in order to overcome the high computational cost for k-means clustering. The results indicate that the proposed method is significantly faster than k-means clustering by more than 10 times.

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Does the planned long-term care policy in Taiwan meet the needs of people with disabilities?

Cited by 8 publications

References 20 publications

Measuring Disability and Its Predicting Factors in a Large Database in Taiwan Using the World Health Organization Disability Assessment Schedule 2.0

Measuring Disability and Its Predicting Factors in a Large Database in Taiwan Using the World Health Organization Disability Assessment Schedule 2.0

A Self-Efficacy-Enhancing Intervention for Chinese Patients after Total Hip Arthroplasty: Study Protocol for A Randomized Controlled Trial with 6-Month Follow-Up

IoT-Based Image Recognition System for Smart Home-Delivered Meal Services

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