Merging current healthcare trends: innovative perspective in aging care

Solinís, Miguel Ángel Gandarillas; Goswami, Nandu

doi:10.2147/cia.s177286

Cited by 31 publications

(23 citation statements)

References 43 publications

(87 reference statements)

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“…After assessing the condition of the elderly and with the support of information systems and the use of new tools, health services appropriate to the patient's needs are provided. This model delivers a wide range of diagnostic, treatment, palliative, social, and health promotion services, and its focus is mainly on home care ( 33 ).…”

Section: Resultsmentioning

confidence: 99%

Health service delivery models for elderly people: A systematic review

Kalantari

Mehrolhassani

Shati

et al. 2021

mjiri

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Background: Current Health care delivery systems are not effective for the elderly. Countries with high elderly populations are expected to design special models to serve their elderly population. The aim of this study is to investigate the models of health care delivery to the elderly in different countries. Methods: The present study is a systematic review based on PRISMA standard guidelines. The search for related studies was conducted in electronic databases (Cochran Library, Scopus, PubMed, Embase, Web of Science) and the Google Scholar search engine without time limits until May 2019. Keywords were extracted based on MeSH strategies. At first, 16243 articles were found. After the screening phase (elimination of duplicated articles, title screening, abstract screening, and full-text screening) 19 articles remained. Two articles deleted after text appraisal using the CASP checklist. In the next stage, after reviewing the gray literature and reviewing the references of remaining articles, three new articles were added (Included studies = 20). Results: Twenty articles (models) corresponding to the study objectives were finally extracted. These models are limited to nine countries and most have local scopes. These models mainly use a case manager, an intra- or inter-disciplinary team, and an elderly assessment tool in their structure. In addition to the use of an information system, these models provide a wide range of services to the elderly. Conclusion: Most of the models mentioned are local models. Smaller models to become applicable at the national level, they need to be reviewed and evaluated by policymakers and experts. Given the inefficiency of current systems in providing services to the elderly, it is recommended that countries use an integrated model of health care provision for the elderly.

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Section: Resultsmentioning

confidence: 99%

Health service delivery models for elderly people: A systematic review

Kalantari

Mehrolhassani

Shati

et al. 2021

mjiri

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“…HF costs are immense, meaning affordability is a problem across various healthcare systems and countries in Europe and around the world [17, 18]. The main driver being an increase in chronic disease and multimorbidity due to an ageing population [19].…”

Section: Necessity For a Paradigm Shift In The Care Of Hfmentioning

confidence: 99%

Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care

et al. 2019

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Heart failure (HF) is one of the most complex chronic disorders with high prevalence, mainly due to the ageing population and better treatment of underlying diseases. Prevalence will continue to rise and is estimated to reach 3% of the population in Western countries by 2025. It is the most important cause of hospitalisation in subjects aged 65 years or more, resulting in high costs and major social impact. The current “one-size-fits-all” approach in the treatment of HF does not result in best outcome for all patients. These facts are an imminent threat to good quality management of patients with HF. An unorthodox approach from a new vision on care is required. We propose a novel predictive, preventive and personalised medicine approach where patients are truly leading their management, supported by an easily accessible online application that takes advantage of artificial intelligence. This strategy paper describes the needs in HF care, the needed paradigm shift and the elements that are required to achieve this shift. Through the inspiring collaboration of clinical and high-tech partners from North-West Europe combining state of the art HF care, artificial intelligence, serious gaming and patient coaching, a virtual doctor is being created. The results are expected to advance and personalise self-care, where standard care tasks are performed by the patients themselves, in principle without involvement of healthcare professionals, the latter being able to focus on complex conditions. This new vision on care will significantly reduce costs per patient while improving outcomes to enable long-term sustainability of top-level HF care.

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“…At present, there are many hurdles confronting health care providers and decision makers, such as the sizable aging patient population, the rising prevalence of chronic diseases, the ever-growing health care spending, and the shortage of clinicians [ 1 , 2 ]. To emphasize, the Association of American Medical Colleges anticipates that the United States could face a shortage of 122,000 physicians by 2032 as the need for physicians outpaces supply [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study

Sadek¹,

Heng²,

Seet³

et al. 2020

J Med Internet Res

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Background At present, there is an increased demand for accurate and personalized patient monitoring because of the various challenges facing health care systems. For instance, rising costs and lack of physicians are two serious problems affecting the patient’s care. Nonintrusive monitoring of vital signs is a potential solution to close current gaps in patient monitoring. As an example, bed-embedded ballistocardiogram (BCG) sensors can help physicians identify cardiac arrhythmia and obstructive sleep apnea (OSA) nonintrusively without interfering with the patient’s everyday activities. Detecting OSA using BCG sensors is gaining popularity among researchers because of its simple installation and accessibility, that is, their nonwearable nature. In the field of nonintrusive vital sign monitoring, a microbend fiber optic sensor (MFOS), among other sensors, has proven to be suitable. Nevertheless, few studies have examined apnea detection. Objective This study aims to assess the capabilities of an MFOS for nonintrusive vital signs and sleep apnea detection during an in-lab sleep study. Data were collected from patients with sleep apnea in the sleep laboratory at Khoo Teck Puat Hospital. Methods In total, 10 participants underwent full polysomnography (PSG), and the MFOS was placed under the patient’s mattress for BCG data collection. The apneic event detection algorithm was evaluated against the manually scored events obtained from the PSG study on a minute-by-minute basis. Furthermore, normalized mean absolute error (NMAE), normalized root mean square error (NRMSE), and mean absolute percentage error (MAPE) were employed to evaluate the sensor capabilities for vital sign detection, comprising heart rate (HR) and respiratory rate (RR). Vital signs were evaluated based on a 30-second time window, with an overlap of 15 seconds. In this study, electrocardiogram and thoracic effort signals were used as references to estimate the performance of the proposed vital sign detection algorithms. Results For the 10 patients recruited for the study, the proposed system achieved reasonable results compared with PSG for sleep apnea detection, such as an accuracy of 49.96% (SD 6.39), a sensitivity of 57.07% (SD 12.63), and a specificity of 45.26% (SD 9.51). In addition, the system achieved close results for HR and RR estimation, such as an NMAE of 5.42% (SD 0.57), an NRMSE of 6.54% (SD 0.56), and an MAPE of 5.41% (SD 0.58) for HR, whereas an NMAE of 11.42% (SD 2.62), an NRMSE of 13.85% (SD 2.78), and an MAPE of 11.60% (SD 2.84) for RR. Conclusions Overall, the recommended system produced reasonably good results for apneic event detection, considering the fact that we are using a single-channel BCG sensor. Conversely, satisfactory results were obtained for vital sign detection when compared with the PSG outcomes. These results provide preliminary support for the potential use of the MFOS for sleep apnea detection.

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Merging current healthcare trends: innovative perspective in aging care

Cited by 31 publications

References 43 publications

Health service delivery models for elderly people: A systematic review

Health service delivery models for elderly people: A systematic review

Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care

A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study

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