Background: Preventive home visits (PHVs) are considered a promising intervention to improve health and independent functioning of the elderly whilst reducing health care costs. This systematic review focuses on cost-effectiveness of PHVs, analyzing randomized controlled trials evaluating incremental cost-effectiveness ratios in fall prevention interventions.
Methods: Based on an online search (PubMed) and bibliographic findings in the eligible articles, five studies providing relevant information were reviewed.
Results: While three studies indicate cost-effectiveness, one delivered no statistically significant results, and one proved cost-effectiveness only for a subgroup of the study sample.
Conclusions: Cost-effectiveness of PHVs appears to depend on careful adaptation of particular measures, for certain settings in special environments for designated patients and disease patterns, on a case-by-case basis. Starting points for further research are the components of the economic evaluation, the setting, personnel and measures of the intervention, as well as the careful selection and analysis of the study sample and its subgroups. A uniform follow-up time, standardized cost measurement as well as the use of standardized denominators like quality adjusted life years (based on the EQ-5D questionnaire) could build a foundation for comparable results.
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http://dx.doi.org/10.1017/S1041610210002280 | DOI Listing |
Biochem Biophys Res Commun
January 2025
Cardiovascular Research Group, Department of Pharmacy, COMSATS University Islamabad, Abbottabad Campus, University Road, Tobe Camp, Abbottabad, 22060, KPK, Pakistan. Electronic address:
Gentisic acid (GA), a cytochrome P450 metabolite of the antiplatelet drug aspirin, exhibits smooth muscle relaxant, antiatherogenic, and antioxidant activities. It also has a protective role in hypertrophic heart failure, suggesting its role in the management of myocardial infarction (MI). This study aimed to explore the protective activity of GA in isoproterenol (ISO)-induced MI in Sprague-Dawley (SD) rats in-vivo, followed by mechanistic investigation ex-vivo.
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January 2025
Faculty of Science and Engineering, Saga University, Saga 840-8502, Japan.
Infrared array sensor-based fall detection and activity recognition systems have gained momentum as promising solutions for enhancing healthcare monitoring and safety in various environments. Unlike camera-based systems, which can be privacy-intrusive, IR array sensors offer a non-invasive, reliable approach for fall detection and activity recognition while preserving privacy. This work proposes a novel method to distinguish between normal motion and fall incidents by analyzing thermal patterns captured by infrared array sensors.
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January 2025
Physiological Controls Research Center, University Research and Innovation Center, Obuda University, 1034 Budapest, Hungary.
In light of the demographic shift towards an aging population, there is an increasing prevalence of dementia among the elderly. The negative impact on mental health is preventing individuals from taking proper care of themselves. For individuals requiring hospital care, those receiving home care, or as a precaution for a specific individual, it is advantageous to utilize monitoring equipment to track their biological parameters on an ongoing basis.
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January 2025
Advanced Institute of Convergence Technology, 145 Gwanggyo-ro, Yeongtong-gu, Suwon-si 16229, Gyeonggi-do, Republic of Korea.
According to South Korea's Ministry of Employment and Labor, approximately 25,000 construction workers suffered from various injuries between 2015 and 2019. Additionally, about 500 fatalities occur annually, and multiple studies are being conducted to prevent these accidents and quickly identify their occurrence to secure the golden time for the injured. Recently, AI-based video analysis systems for detecting safety accidents have been introduced.
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Research Department, Royal College of Surgeons in Ireland-Bahrain, Busaiteen 15503, Bahrain.
Type 2 diabetes mellitus (T2DM) is one of the most widespread chronic diseases globally, with its prevalence expected to rise significantly in the years ahead. Previous studies on risk stratification for T2DM identify certain biomarkers, including glycated hemoglobin (HbA1c), oral glucose tolerance testing (OGTT), fructosamine, and glycated albumin, as key indicators for predicting the onset and progression of T2DM. However, these traditional markers have been shown to lack sensitivity and specificity and their results are difficult to analyze due to non-standardized interpretation criteria, posing significant challenges to an accurate and definitive diagnosis.
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