ContextCaregivers make difficult end-of-life (EOL) decisions for patients, often adversely affecting their own psychological health. Understanding whether advance care planning (ACP) interventions benefit caregivers can enable healthcare systems to use these approaches to better support them.ObjectiveWe conducted a systematic review and meta-analysis to identify and quantify the impacts of ACP interventions on caregiver outcomes.MethodsWe searched MEDLINE, Embase and Cochrane databases for English-language randomised or cluster randomised controlled trials (RCTs) published until May 2021. Two reviewers independently assessed methodological quality using the Physiotherapy Evidence-Based Database Scale. We conducted a narrative synthesis for each outcome. Difference between arms with a p value of <0.05 was considered statistically significant.ResultsOf the 3487 titles reviewed, 35 RCTs met eligibility; 68.6% were rated high quality. Included RCTs were heterogeneous in intervention characteristics, setting and disease. Meta-analysis of 17 RCTs showed that ACP had large and significant improvement in congruence in EOL care preferences between caregivers and patients (standardised mean difference 0.73, 95% CI 0.42 to 1.05). The effect of ACP on this outcome, however, declined over time. We also found some evidence that ACP improved bereavement outcomes (three of four RCTs), satisfaction with care quality/communication (four of the six RCTs), reduced decisional conflict (two of the two RCTs) and burden (one RCT). No study showed that mental health of caregivers were adversely affected.ConclusionThe review provides most comprehensive evidence about the efficacy of ACP on caregiver outcomes. Findings suggest some evidence of benefit of ACP on caregiver outcomes.
Objectives To estimate the incremental per capita and aggregate direct and indirect costs of excess weight among older adults (aged 40–80) in Singapore. Design Secondary data analysis of an existing cross-sectional survey Setting Residential districts in South-West Singapore Participants 5848 older adults (aged 40–80) from Singapore’s three dominant ethnic groups Primary and secondary outcome measures We used regression models to estimate per capita medical expenditures and absenteeism costs attributable to overweight and obesity based on WHO’s body-mass index (BMI) classification. Per capita estimates were multiplied by prevalence to obtain aggregate costs. Results The sample included 2467 Chinese, 2128 Indians and 1253 Malays. Indians and Malays are three to four times more likely to be obese (BMI≥30 kg/m 2 ) than Chinese. Among Chinese, compared with those who are normal weight, individuals who are overweight missed one additional workday per year more (p<0.05). Individuals in the obese category had S$720 per year greater medical expenditures (p<0.05) but missed workdays were not statistically different from those in the normal weight category. Among Indians, differences were not significant between normal and overweight categories. Indians in the obese category incurred an additional S$310 per year (p<0.10) more than those of normal weight. For Malays, no significant differences by BMI category were identified. Aggregate burden is estimated at S$261M (million) (95% CI: 57M to 465M) with 68% from medical expenditures. Chinese, Malays and Indians make up 79%, 12% and 9% of the population, respectively, but account for 76%, 19% and 4% of the costs of excess weight respectively. Conclusion Excess weight imposes a substantial health and economic burden among older Singaporeans. Successful efforts to prevent and reduce obesity prevalence may generate both health and economic improvements.
With countries progressing towards high COVID-19 vaccination rates, strategies for border reopening are required. This study focuses on Thailand and Singapore, two countries that share significant tourism visitation, to illustrate a framework for optimizing COVID-19 testing and quarantine policies for bilateral travel with a focus on economic recovery. The timeframe is the month of October 2021, when Thailand and Singapore were preparing to reopen borders for bilateral travel. This study was conducted to provide evidence for the border reopening policy decisions. Incremental net benefit (INB) compared to the pre-opening period was quantified through a willingness-to-travel model, a micro-simulation COVID-19 transmission model and an economic model accounting for medical and non-medical costs/benefits. Multiple testing and quarantine policies were examined, and Pareto optimal (PO) policies and the most influential components were identified. The highest possible INB for Thailand is US $125.94 million, under a PO policy with no quarantine but with antigen rapid tests (ARTs) pre-departure and upon arrival to enter both countries. The highest possible INB for Singapore is US $29.78 million, under another PO policy with no quarantine on both sides, no testing to enter Thailand, and ARTs pre-departure and upon arrival to enter Singapore. Tourism receipts and costs/profits of testing and quarantine have greater economic impacts than that from COVID-19 transmission. Provided healthcare systems have sufficient capacity, great economic benefits can be gained for both countries by relaxing border control measures.
IntroductionSeveral treatment options are available for COVID-19 to date. However, the use of a combination of non-pharmaceutical interventions (NPIs) is necessary for jurisdictions to contain its spread. Although the implementation cost of NPIs may be low from the healthcare system perspective, it can be costly when considering the indirect costs from the societal perspective. COVID-19 vaccination campaigns have begun in several countries worldwide. Nonetheless, the quantity of vaccines available remain limited over the next 1 to 2 years. A tool for informing vaccine prioritisation that considers both cost and effectiveness will be highly useful. This study aims to identify the most cost-effective combination of COVID-19 response policies, using Singapore as an example.Methods and analysisAn age-stratified Susceptible-Exposed-Infectious-Recovered model will be used to generate the number of infections stratified by disease severity under different intervention scenarios. Polices of interest include test-trace-isolate, travel restriction, compulsory face mask and hygiene practices, social distancing, dexamethasone/remdesivir therapy and vaccination. The latest phase 3 trial results and the WHO Target Product Profiles for COVID-19 vaccines will be used to model vaccine characteristics. A cost (expected resource utilisation and productivity losses) and quality-adjusted life years (QALYs) will be attached to these outputs for a cost-utility analysis. The primary outcome measure will be the incremental cost-effectiveness ratio generated from the incremental cost of policy alternatives expressed as a ratio of the incremental benefits (QALYs gained). Efficacy of policy options will be gathered from literature review and from its observed impacts in Singapore. Cost data will be gathered from healthcare institutions, Ministry of Health and published data. Sensitivity analysis such as threshold analysis and scenario analysis will be conducted.Ethics and disseminationEthics approval was not required for this study. The study findings will be disseminated through peer-reviewed journals.
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