Integrating Care for Persons with Chronic Health and Social Needs

Wodchis, Walter P.; Williams, A. Paul; Mery, Gustavo

doi:10.1515/9781553394419-011

Cited by 2 publications

(2 citation statements)

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“…Figure 3 shows the recommended service delivery process for integrated care using ML decision-assisting algorithms based on previous studies on older adults. 2,3,11 First, an initial assessment of older adults with health and daily support needs is conducted using information technology devices that can efficiently collect, accumulate, and integrate data. The decision-assisting algorithm then checks the criteria and recommends services using preprocessed data.…”

Section: Discussionmentioning

confidence: 99%

“…2 To meet the needs of older adults with complex conditions, there has been a growing consensus regarding the development of integrated care that encompasses health and everyday activities. 3 delivery process, from assessment to delivery and termination of services, is manpower intensive, depending on the role of the care manager (or care coordinator or service manager) as one of the core elements of integrated care. 2 During the process of delivering integrated care services, if care managers spend more time on simple, repetitive tasks such as the initial assessment and eligibility criteria checks, less time will be available for coordination and face-to-face tasks.…”

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A Pilot Study of Machine Learning–Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults

Ryu

Lee

Jun

et al. 2022

CIN: Computers, Informatics, Nursing

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As life expectancy increases, there is a growing consensus on the development of integrated care encompassing the health and daily activities of older adults. In recent years, although the demand for machine learning applications in healthcare has increased, only a few studies have implemented machine learning–based systems in integrated care for older adults owing to the complex needs of older adults and the coarseness of the available data. Our study aims to explore the possibility of implementing machine learning decision-support algorithms in the integrated care of older community-dwelling adults. Our experiment uses secondary data based on the community-based integrated service model. Such data were collected from 511 older adults through 162 assessment items in which tailored services were selected from 18 available services. We implemented four machine learning models: decision tree, random forest, K-nearest neighbors, and multilayer perceptron. The area under the receiver operating characteristic curve results of the four models were decision tree = 0.89, K-nearest neighbors = 0.88, random forest = 0.93, and multilayer perceptron = 0.88. The results suggest that machine learning–based decision-assisting algorithms can improve the quality of tailored services for integrated care with intensive involvement of face-to-face tasks by reducing the simple, repetitive tasks of care managers.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

A Pilot Study of Machine Learning–Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults

Ryu

Lee

Jun

et al. 2022

CIN: Computers, Informatics, Nursing

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Integration of oral health into primary care: a scoping review protocol

et al. 2016

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IntroductionIntegrated care has been introduced as a means of improving health outcomes and access to care, and reducing the cost of healthcare. Despite its importance, the integration of oral health into primary care is still an emerging healthcare pathway. This scoping review protocol has been developed and funded by the Canadian Institutes of Health Research to provide an evidence-based synthesis on a primary oral healthcare approach and its effectiveness in improving oral health outcomes.Methods and analysisThe 6-stage framework developed by Levac et al underpins this scoping review. We will identify relevant existing theories, programmes and original research through a comprehensive and systematic search of electronic databases such as OVID (MEDLINE, EMBASE, Cochrane databases), NCBI (PubMed), EBSCOhost (CINAHL), ProQuest, Databases in Public Health, Databases of the National Institutes of Health (health management and health technology) and relevant organisational websites and other sources of grey literature. All types of studies from 1978 to May 2016 in the French and English languages will be included. Using the Rainbow conceptual model of integrative primary care, a qualitative descriptive approach and thematic analysis will be used to synthesise the literature. Implementing novel healthcare models necessitates identifying barriers, sharing knowledge and delivering information. The integration of oral healthcare into primary care is an approach that promotes breaking the boundaries separating oral healthcare professionals and primary care. It creates opportunities for the dental workforce to become more involved in community-based practice and to assume shared responsibility with healthcare professionals to address the unmet oral health needs of those experiencing vulnerability and marginalisation.Ethics and disseminationThe scoping study has received approval from the Université de Montréal's Institutional Review Board (#14–097-CERES-D). The findings will be disseminated through publications and presentations in provincial, national and international research symposiums and professional meetings.

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Integrating Care for Persons with Chronic Health and Social Needs

Cited by 2 publications

References 0 publications

A Pilot Study of Machine Learning–Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults

A Pilot Study of Machine Learning–Based Algorithms to Assist Integrated Care for Older Community-Dwelling Adults

Integration of oral health into primary care: a scoping review protocol

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