A Study on Singapore’s Ageing Population in the Context of Eldercare Initiatives Using Machine Learning Algorithms

Rangaswamy, Easwaramoorthy; Periyasamy, Girija; Nawaz, Nishad

doi:10.3390/bdcc5040051

Cited by 9 publications

(5 citation statements)

References 26 publications

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“…From 2010 to 2015, the average annual proportion of individuals aged 65 and above in the study area was 10.4% but rose to an average of 13.4% from 2016 to 2019. From 2010 to 2015, those aged 75 years and above formed 2.1% of the study population, whereas from 2016 to 2019, this group of individuals formed 2.7% of the population 54. Furthermore, the incidence of AMI rose from 324.0 per 100 000 population in 2016 to 354.4 per 10 000 population in 2017, a substantial rise compared those in the years proximate to that 19.…”

Section: Discussionmentioning

confidence: 93%

“…From 2010 to 2015, those aged 75 years and above formed 2.1% of the study population, whereas from 2016 to 2019, this group of individuals formed 2.7% of the population. 54 Furthermore, the incidence of AMI rose from 324.0 per 100 000 population in 2016 to 354.4 per 10 000 population in 2017, a substantial rise compared those in the years proximate to that. 19 A new blood biomarker, high sensitivity troponin, was rolled out to hospitals for AMI detection from 2014.…”

Section: Discussionmentioning

confidence: 98%

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Association between the extension of smoke-free legislation and incident acute myocardial infarctions in Singapore from 2010 to 2019: an interrupted time-series analysis

Ho,

Jou

et al. 2023

BMJ Glob Health

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BackgroundWe examined the association between smoke-free laws implemented in the outdoors and the common areas of residential apartment blocks and reported acute myocardial infarctions (AMI) in Singapore.MethodsWe used an interrupted time-series design and seasonal autoregressive integrated moving average models to examine the effect of the smoke-free law extensions in 2013 (common areas of residential blocks, covered pedestrian linkways, overhead bridges and within 5 m of bus stops), 2016 (parks) and 2017 (educational institutions, buses and taxis) on the monthly incidence rate of AMIs per 1 000 000 population.ResultsWe included 133 868 AMI reports from January 2010 to December 2019. Post-2013, there was a decrease in the AMI incidence trend (β=−0.6 per month, 95%CI −1.0 to –0.29) and 2097 (95% CI 2094 to 2100) more AMIs may have occurred without the extension. There was a significant step-decline in male AMIs and a non-significant step-increase in female AMIs post-2013. Those 65 years and older experienced a greater decline to the postlegislation 2013 trend (β=−5.9, 95% CI −8.7 to –3.1) compared with those younger (β=−0.4, 95% CI −0.6 to –0.2), while an estimated 19 591 (15 711 to 23472) additional AMI cases in those 65 years and above may have occurred without the extension. We found a step-increase in monthly AMI incidence post-2016 (β=14.2, 95%CI 3.3 to 25.0).ConclusionThe 2013 smoke-free law extension to residential estates and other outdoor areas were associated with a decline in AMIs and those above the age of 65 years and men appeared to be major beneficiaries. Additional epidemiological evidence is required to support the expanded smoke-free legislation to parks, educational institutions, buses and taxis.

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Section: Discussionmentioning

confidence: 93%

Section: Discussionmentioning

confidence: 98%

Association between the extension of smoke-free legislation and incident acute myocardial infarctions in Singapore from 2010 to 2019: an interrupted time-series analysis

Ho,

Jou

et al. 2023

BMJ Glob Health

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“…The Singaporean government has taken diverse approaches to provide better care for older people. For instance, the government is on the verge of increasing the number of nursing home beds to 14,000, accounting for a 50% increase from the report in 2010 [ 9 ]. These measures were based on the expected increase in demand for beds as the aging population continues a rising trend [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Counseling on the Dignity of Older People: Protocol for a Mixed Methods Study

Hung¹,

Azman²,

Singh³

2023

JMIR Res Protoc

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Background Psychological counseling is perceived as a treatment that could significantly improve older individuals’ psychological and behavioral functioning. There is a dearth of information on the impact of psychological counseling on preserving dignity and facilitating good aging among older people in Singapore. Objective The objectives of this study are as follows: (1) to assess advance care planning among older people and their perception of life and health, end of life, and end-of-life care; (2) to explore older people’s accessibility and receptiveness toward counseling; (3) elucidate older people’s perspectives on counseling and its impact on emotional management and decision-making; (4) to assess older people’s competencies in emotional management; and (5) to propose an intervention model for enhancing older people’s well-being and dignity through psychological counseling in Singapore. Methods A mixed method study design involving quantitative and qualitative methods will be used. Older individuals receiving some form of preventive, primary, or long-term care in the community through voluntary welfare organizations from the senior activity centers located in eastern Singapore participated in the qualitative phase. Six older individuals from each senior activity center have been enrolled for the interview phase to explore 6 components: the Advanced Care Planning (ACP) booklet, Trait Meta Mood Scale (TMMS), accessibility and receptiveness toward counseling, and emotional management and decision-making. The ACP, an instrument designed to assess advanced care planning among older individuals, and the TMMS, an instrument developed to measure meta-mood experience and emotional management, were used in the quantitative phase among 100 participants. The data will be analyzed thematically using NVivo version 12, whereas descriptive statistics and a 2-tailed, 1-sample t test will be conducted in SPSS (version 25; IBM Corp) for empirical data analyses. Results The qualitative phase, which involves a semistructured interview, has been completed among 20 older individuals aged 66-86 years. Thematic analysis of the data is still ongoing. Meanwhile, the quantitative phase commenced on March 22, 2022, with 100 participants providing signed informed consent to participate in the study. The study is expected to be completed by March 2023. Conclusions The mixed methods study will document the current awareness of ACP, accessibility and receptiveness toward counseling, and the potential use of psychological counseling in enhancing well-being and dignity among older people in Singapore. The research findings will benefit policy makers in their decision-making when attempting to mitigate the potential barriers to seeking counseling assistance among older people. International Registered Report Identifier (IRRID) DERR1-10.2196/45557

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“…Finally, it can help enterprises increase the value, mission, and career life of insurance practitioners, and create a win-win-win situation for clients, companies, and individuals. Examples of past studies on data mining and long-term care insurance include the following review: research on government pension initiatives and their possible impact on an aging population [3], association between family loss and cognitive impairment [4], innovative insurance services in cloud computing [5], discussing customer churn for life insurance policies [6], and more. Although substantial studies have been performed on long-term care insurance, those further exploring long-term care insurance businesses through the behavior of customers purchasing insurance products are still critically lacking.…”

Section: Introductionmentioning

confidence: 99%

“…The data and rules have been summarized by modeling the prediction accuracy and producing the decision tree graph. The research objectives can be summarized as follows: (1) to establish a classification prediction model, and find the most suitable classification model through data mining technology; (2) to find the best classifier through empirical study; (3) to find the rules and important key factors influencing the willingness to buy the long-term care insurance through the Decision Tree graph.…”

Section: Introductionmentioning

confidence: 99%

Application of Advanced Hybrid Models to Identify the Sustainable Financial Management Clients of Long-Term Care Insurance Policy

et al. 2022

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The rapid growth of the aging population and the rate of disabled people with physical and mental disorders is increasing the demand for long-term care. The decline in family care could lead to social and economic collapse. In order to reduce the burden of long-term care, long-term care insurance has become one of the most competitive products in the life insurance industry. In the previous literature review, few scholars engaged in the research on this topic with data mining technology, which was motivated to trigger the formation of this study and hoped to increase the different aspects of academic research. The purpose of this study is to develop the long-term insurance business from the original list of insurance clients, to predict whether the sustainable financial management clients will buy the long-term care insurance policies, and to establish a feasible prediction model to assist life insurance companies. This study aims to establish the classified prediction models of Models I~X, to dismantle the data with the percentage split and 10-fold cross validation, plus the application of two kinds of technology as feature selection and data discretization, for the data mining of twenty-three kinds of algorithms in seven different categories (Bayes, Function, Lazy, Meta, Misc, Rule, and Decision Tree) through the data collected from the insurance company database, and to select 20 conditional attributes and 1 decisional attribute (whether to buy the long-term insurance policy or not). The decision attribute is binary classification method for empirical data analysis. The empirical results show that: (1) the marital status, total number of policies purchased, and total amount of policies (including long-term care insurance) are found to be the three important factors affecting the decision attribute; (2) the most stable models are the advanced hybrid Models V and X; and (3) the best classifier is Decision Tree J48 algorithm for the study data used.

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A Study on Singapore’s Ageing Population in the Context of Eldercare Initiatives Using Machine Learning Algorithms

Cited by 9 publications

References 26 publications

Association between the extension of smoke-free legislation and incident acute myocardial infarctions in Singapore from 2010 to 2019: an interrupted time-series analysis

Association between the extension of smoke-free legislation and incident acute myocardial infarctions in Singapore from 2010 to 2019: an interrupted time-series analysis

The Impact of Counseling on the Dignity of Older People: Protocol for a Mixed Methods Study

Application of Advanced Hybrid Models to Identify the Sustainable Financial Management Clients of Long-Term Care Insurance Policy

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