scholarly journals The role of motivation in the diffusion of innovations in Canada’s long-term care sector: a qualitative study

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Lauren MacEachern ◽  
Lisa Cranley ◽  
Janet Curran ◽  
Janice Keefe
Keyword(s):  
Diffusion Of Innovation ◽  
Long Term Care ◽  
Qualitative Interviews ◽  
Secondary Analysis ◽  
Opinion Leaders ◽  
Term Care ◽  
Advice Seeking ◽  
The Future ◽  
Implementation Of Innovations

Abstract Background Long-term care facilities offer shelter and care for Canadian seniors; however, there are great variances in the quality of care that is provided to older adults across facilities. One factor that could contribute to this variation in quality is the diffusion and implementation of advice and innovations within this sector. This study sought to understand the motivations of identified opinion leaders within the Canadian long-term care sector to disseminate advice within their social networks. Research questions addressed specific drivers of motivation and the potential outcomes of having motivated opinion leaders present within interpersonal advice-seeking networks with respect to diffusion and implementation of innovations in the Canadian long-term care sector. Methods This secondary analysis study analyzed semi-structured qualitative interviews with opinion leaders (n = 13) and advice seekers of opinion leaders (n = 13) from a national, social network study, Advice Seeking Networks in Long Term Care (Cranley et al. 2019; Dearing et al. 2017). Constant comparison analysis was used and supported by a theoretical framework developed from diffusion of innovation theory and the COM-B framework. Results The motivations of opinion leaders in the Canadian long-term care sector were represented across seven themes: obligations of the position, value of education, systemness, relationships, supportiveness, passion, and caring nature. Conclusions This research provides further evidence that opinion leaders in the long-term care sector are motivated individuals and that they are using this motivation as a driver to create change and improve care practices. As residents of the long-term care sector continue to increase in number and complexity, the presence of motivated opinion leaders represents a promising outlook for the future through achieving specific outcomes such as the diffusion and implementation of innovations, an increased sense of community within the network, and increased readiness for the future.

scholarly journals Attitudes Toward Sexual Behaviors in Long-Term Care: Development of an Assessment Tool

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 602-603
Author(s):  
Rachael Spalding ◽  
Emma Katz ◽  
Barry Edelstein
Keyword(s):  
Sexual Behaviors ◽  
Long Term Care ◽  
Assessment Tool ◽  
Qualitative Interviews ◽  
Family Members ◽  
Community Dwelling ◽  
Term Care ◽  
Care Development

Abstract Most older adults living in long-term care settings (LTCs) indicate that expressing their sexuality is important to them (Doll, 2013). Little is known about the general public’s attitudes towards sexual behaviors in LTCs. Attitudes of LTC residents’ family members are particularly important, as family members are most likely to visit residents and to care about their quality of life. Family members’ attitudes could in turn inform facility policies and management. We will present preliminary data from a series of qualitative interviews with community-dwelling adults regarding their attitudes. We will discuss how these data are being used to inform current work on a measure of attitudes toward sexual behavior in LTCs.

The Experience of Long Term Care in the Future

1989 ◽  
Vol 14 (1-2) ◽  
pp. 3-18 ◽  
Author(s):  
Carter Catlett Williams
Keyword(s):  
Long Term Care ◽  
Term Care ◽  
The Future

Six-month trajectories of self-reported depressive symptoms in long-term care

2015 ◽  
Vol 28 (1) ◽  
pp. 71-81 ◽  
Author(s):  
Jane McCusker ◽  
Martin G. Cole ◽  
Philippe Voyer ◽  
Johanne Monette ◽  
Nathalie Champoux ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Long Term Care ◽  
Secondary Analysis ◽  
Depression Scale ◽  
Depression Symptom ◽  
Term Care ◽  
Symptom Trajectory ◽  
Over Time

ABSTRACTBackground:Depression is a common problem in long-term care (LTC) settings. We sought to characterize depression symptom trajectories over six months among older residents, and to identify resident characteristics at baseline that predict symptom trajectory.Methods:This study was a secondary analysis of data from a six-month prospective, observational, and multi-site study. Severity of depressive symptoms was assessed with the 15-item Geriatric Depression Scale (GDS) at baseline and with up to six monthly follow-up assessments. Participants were 130 residents with a Mini-Mental State Examination score of 15 or more at baseline and of at least two of the six monthly follow-up assessments. Individual resident GDS trajectories were grouped using hierarchical clustering. The baseline predictors of a more severe trajectory were identified using the Proportional Odds Model.Results:Three clusters of depression symptom trajectory were found that described “lower,” “intermediate,” and “higher” levels of depressive symptoms over time (mean GDS scores for three clusters at baseline were 2.2, 4.9, and 9.0 respectively). The GDS scores in all groups were generally stable over time. Baseline predictors of a more severe trajectory were as follows: Initial GDS score of 7 or more, female sex, LTC residence for less than 12 months, and corrected visual impairment.Conclusions:The six-month course of depressive symptoms in LTC is generally stable. Most residents who experience a more severe symptom trajectory can be identified at baseline.

scholarly journals MaineHealth: Development, Implementation, and Success in Telehealth for Home Care

2018 ◽  
Vol 2 (5) ◽  
Author(s):  
Robert Abel
Keyword(s):  
Palliative Care ◽  
Home Care ◽  
Long Term Care ◽  
Opinion Leaders ◽  
Term Care ◽  
National Conference ◽  
Chief Nursing Officer ◽  
Care At Home ◽  
Medicine Today

No abstract available. Editor’s note: On March 16th and 17th, 2017, Telehealth and Medicine Today convened a national conference of opinion leaders to discuss and debate “Technologies and Tactics Transforming Long-term Care.” What follows is the lecture by Robert Abel who is the Chief Nursing Officer and Director of Palliative Care for MaineHealth Care at Home, a member of the MaineHealth system.

Long-Term Care for the Future

2017 ◽  
pp. 103-110
Author(s):  
Peter J. Whitehouse
Keyword(s):  
Long Term Care ◽  
Term Care ◽  
The Future

scholarly journals Projection of Long-Term Care Costs in China, 2020–2050: Based on the Bayesian Quantile Regression Method

2019 ◽  
Vol 11 (13) ◽  
pp. 3530 ◽  
Author(s):  
Xiaocang Xu ◽  
Linhong Chen
Keyword(s):  
Quantile Regression ◽  
Long Term Care ◽  
Financial Burden ◽  
Severe Disabilities ◽  
Term Care ◽  
Bayesian Quantile Regression ◽  
The Future ◽  
The Government ◽  
Quantile Regression Method

The aging population in China highlights the significance of elderly long-term care (LTC) services. The number of people aged 65 and above increased from 96 million in 2003 to 150 million in 2016, some of whom were disabled due to chronic diseases or the natural effects of aging on bodily functions. Therefore, the measurement of future LTC costs is of crucial value. Following the basic framework but using different empirical methods from those presented in previous literature, this paper attempts to use the Bayesian quantile regression (BQR) method, which has many advantages over traditional linear regression. Another innovation consists of setting and measuring the high, middle, and low levels of LTC cost prediction for each disability state among the elderly in 2020–2050. Our projections suggest that by 2020, LTC costs will increase to median values of 39.46, 8.98, and 20.25 billion dollars for mild, moderate, and severe disabilities, respectively; these numbers will reach 141.7, 32.28, and 72.78 billion dollars by 2050. The median level of daily life care for mild, moderate, and severe disabilities will increase to 26.23, 6.36, and 27 billion dollars. Our results showed that future LTC cost increases will be enormous, and therefore, the establishment of a reasonable individual-social-government payment mechanism is necessary for the LTC system. The future design of an LTCI system must take into account a variety of factors, including the future elderly population, different care conditions, the financial burden of the government, etc., in order to maintain the sustainable development of the LTC system.

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