24 research outputs found

    Projecting Family Support Needed to Assist Older Canadian Living in the Community, 2006-2031

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    Canadian policy makers are increasingly interested in planning for the inevitable increase in home care services that will be fuelled by population aging and community care policy. Our goal is to advance understanding of the patterns and predictors of disability and support among the population aged 65+ and use this information to project future health human resources. Using the 2002 General Social Survey, logistic regressions estimated the probability of an individual with specific characteristics of having a specific level of disability and those with a long term health problems using one of three types of support networks (formal, informal, or mixed). These parameters were applied at five-year intervals in Statistics Canada LifePaths microsimulation model to project future demand. When looking at the population needing assistance, results from the micro-simulations show an increase from 630,000 to over 1.3 millions between 2006-2031. Results also show an increase in the proportion of elderly having to rely exclusively on the formal network (40% in 2006 to 44% in 2031. By applying the median amount of assistance per week by age and sex (GSS 2002) to the projected population who will receive assistance, the number of hours per week received is projected to double from 2006 to 2031. This trend is most pronounced among the 85+ in that the amount of assistance is projected to almost triple from 2006-2031. Despite recognition of the steady increase in demand for home care, Canada has made little headway in developing consensus on policy directions. A discussion of the policy implications of these findings will highlight the need for greater recognition, better working conditions and career paths for front-line home support workers who provide the majority of care among paid home care providers. Yann Décarie is a Ph.D student in Demography at L’Institut National de la Recherche Scientifique (INRS) under the supervision of Alain Bélanger. Yann received a degree in Statistics from the Université de Sherbrooke and an undergraduate degree in Actuarial Science from the Université de Montréal. Since 2006, Yann has been working with Professor Jacques Légaré and Professor Janice Keefe as a research assistant on a project related to the projection of disabled people and home care needs. Yann’s research interests are on ageing, projection methods, microsimulation and population health

    Social factors influencing utilization of home care in community-dwelling older adults: a scoping review

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    Background: Older adults want to live at home as long as possible, even in the face of circumstances that limit their autonomy. Home care services reflect this emergent preference, allowing older adults to ‘age in place’ in familiar settings rather than receiving care for chronic health conditions or ageing needs in an institutionalized setting. Numerous social factors, generally studied in isolation, have been associated with home care utilization. Even so, social circumstances are complex and how these factors collectively influence home care use patterns remains unclear. Objectives: To provide a broad and comprehensive overview of the social factors influencing home care utilization; and to evaluate the influence of discrete social factors on patterns of home care utilization in community-dwelling older adults in high-income countries. Methods: A scoping review was conducted of six electronic databases for records published between 2010 and 2020; additional records were obtained from hand searching review articles, reference lists of included studies and documents from international organisations. A narrative synthesis was presented, complemented by vote counting per social factor, harvest plots and an evaluation of aggregated findings to determine consistency across studies. Results: A total of 2,365 records were identified, of which 66 met inclusion criteria. There were 35 discrete social factors grouped into four levels of influence using a socio-ecological model (individual, relationship, community and societal levels) and grouped according to outcome of interest (home care propensity and intensity). Across all studies, social factors consistently showing any association (positive, negative, or equivocal in pattern) with home care propensity were: age, ethnicity/race, self-assessed health, insurance, housing ownership, housing problems, marital status, household income, children, informal caregiving, social networks and urban/rural area. Age, education, personal finances, living arrangements and housing ownership were associated with home care intensity, also with variable patterns in utilization. Additional community and societal level factors were identified as relevant but lacking consistency across the literature; these included rurality, availability of community services, methods of financing home care systems, and cultural determinants. Conclusion: This is the first literature review bringing together a wide range of reported social factors that influence home care utilization. It confirms social factors do influence home care utilization in complex interactions, distinguishes level of influences at which these factors affect patterns of use and discusses policy implications for home care reform

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    Sustained effects of the INFORM cluster randomized trial: an observational post-intervention study

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    Abstract Background Numerous studies have examined the efficacy and effectiveness of health services interventions. However, much less research is available on the sustainability of study outcomes. The purpose of this study was to assess the lasting benefits of INFORM (Improving Nursing Home Care Through Feedback On perfoRMance data) and associated factors 2.5 years after removal of study supports. INFORM was a complex, theory-based, three-arm, parallel cluster-randomized trial. In 2015–2016, we successfully implemented two theory-based feedback strategies (compared to a simple feedback approach) to increase nursing home (NH) care aides’ involvement in formal communications about resident care. Methods Sustainability analyses included 51 Western Canadian NHs that had been randomly allocated to a simple and two assisted feedback interventions in INFORM. We measured care aide involvement in formal interactions (e.g., resident rounds, family conferences) and other study outcomes at baseline (T1, 09/2014-05/2015), post-intervention (T2, 01/2017-12/2017), and long-term follow-up (T3, 06/2019–03/2020). Using repeated measures, hierarchical mixed models, adjusted for care aide, care unit, and facility variables, we assess sustainability and associated factors: organizational context (leadership, culture, evaluation) and fidelity of the original INFORM intervention. Results We analyzed data from 18 NHs (46 units, 529 care aides) in simple feedback, 19 NHs (60 units, 731 care aides) in basic assisted feedback, and 14 homes (41 units, 537 care aides) in enhanced assisted feedback. T2 (post-intervention) scores remained stable at T3 in the two enhanced feedback arms, indicating sustainability. In the simple feedback group, where scores were had remained lower than in the enhanced groups during the intervention, T3 scores rose to the level of the two enhanced feedback groups. Better culture (β = 0.099, 95% confidence interval [CI] 0.005; 0.192), evaluation (β = 0.273, 95% CI 0.196; 0.351), and fidelity enactment (β = 0.290, 95% CI 0.196; 0.384) increased care aide involvement in formal interactions at T3. Conclusions Theory-informed feedback provides long-lasting improvement in care aides’ involvement in formal communications about resident care. Greater intervention intensity neither implies greater effectiveness nor sustainability. Modifiable context elements and fidelity enactment during the intervention period may facilitate sustained improvement, warranting further study—as does possible post-intervention spread of our intervention to simple feedback homes

    Understanding professional advice networks in long-term care: an outside-inside view of best practice pathways for diffusion

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    Background: Interpersonal relationships among professionals drive both the adoption and rejection of consequential innovations. Through relationships, decision-makers learn which colleagues are choosing to adopt innovations, and why. The purpose of our study was to understand how and why long-term care (LTC) leaders in a pan-Canadian interpersonal network provide and seek advice about care improvement innovations, for the eventual dissemination and implementation of these innovations. Methods: We used a mixed methods approach. An online survey was sent to senior leaders in 958 LTC facilities in 11 Canadian provinces and territories. Participants were asked to name up to three individuals whose advice they most value when considering care improvement and practice innovations. Sociometric analysis revealed the structure of provincial-level advice networks and how those networks were linked. Using sociometric indicators, we purposively selected 39 key network actors to interview to explore the nature of advice relationships. Data were analyzed thematically. Results: In this paper, we report our qualitative findings. We identified four themes from the data. One theme related to characteristics of particular network roles: opinion leaders, advice seekers, and boundary spanners. Opinion leaders and boundary spanners have long tenures in LTC, a broad knowledge of the network, and share an interest in advancing the sector. Advice seekers were similarly committed to LTC; they initially seek and then, over time, exchange advice with opinion leaders and become an important source of information for them. A second theme related to characterizing advice seeking relationships as formal, peer-to-peer, mentoring, or reciprocal. The third and fourth themes described motivations for providing and seeking advice, and the nature of advice given and sought. Advice seekers initially sought information to resolve clinical care problems; however, over time, the nature of advice sought expanded to include operational and strategic queries. Opinion leaders sought to expand their networks and to solicit information from their more established advice seekers that might benefit the network and advance LTC. Conclusions: New knowledge about the distinct roles that different network actors play vis-a-vis one another offers healthcare professionals, researchers, and decision- and policy-makers insights that are useful when formulating best practice dissemination strategies.Health and Social Development, Faculty of (Okanagan)Non UBCReviewedFacult
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