Follow-up of an intervention program for caregivers of a relative with dementia living in a long-term care setting: Are there any persistent and delayed effects?

2005 ◽  
Vol 9 (5) ◽  
pp. 461-469 ◽  
Author(s):  
Francine Ducharme ◽  
Louise Lévesque ◽  
Francine Giroux ◽  
Lise Lachance
Keyword(s):  
Intervention Program ◽  
Care Setting ◽  
Long Term Care ◽  
Term Care ◽  
Delayed Effects

scholarly journals Impact of Frailty on Medical and Long-Term Care Expenditures for the Elderly Age 75 or Over in Japan

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 176-176
Author(s):  
Hiroto Yoshida ◽  
Yuriko Kihara
Keyword(s):  
Long Term Care ◽  
The Elderly ◽  
Elderly Age ◽  
Term Care ◽  
Intentional Weight Loss ◽  
Long Term Care Insurance ◽  
And Gender ◽  
The Impact

Abstract This study examined the impact of frailty on medical and long-term care expenditures in an older Japanese population. The subjects were those aged 75 years and over who responded to the survey (March 2018) in Bibai, Hokkaido, Japan (n=1,203) and have never received certification of long-term care insurance at the survey. We followed up 867 individuals (72.1%) until the end of December 2018 (10 month-period). We defined frailty as a state in performing 4 items and over of 15 items which were composed of un-intentional weight loss, history of falls, etc. Among 867 subjects, 233 subjects (26.9%) were judged to be frailty group, and 634 subjects (73.1%) non-frailty group. We compared period to the new certification of long-term care insurance (LTCI), accumulated medical and long-term care expenditures adjusted for age and gender between the two groups during the follow-up period. Cox proportional hazard models were used to examine the association between baseline frailty and the new certification of LTCI. The relative hazard ratio (HR) was higher in frailty group than non-frailty group (HR=3.51, 95% CI：1.30-9.45, P=.013). The adjusted mean accumulated medical and long-term care expenditures per capita during the follow-up were significantly (P=.002) larger for those in the frailty group (629,699 yen), while those in the non-frailty group were 450,995 yen. We confirmed strong economic impact of frailty in the elderly aged 75 or over in Japan.

Commentary: The Broader Context of Long-Term Care Ethics

2016 ◽  
Vol 25 (3) ◽  
pp. 554-556
Author(s):  
Jason Lesandrini ◽  
Carol O’Connell
Keyword(s):  
Care Setting ◽  
Long Term Care ◽  
Ethical Issues ◽  
Term Care ◽  
Ethical Concerns ◽  
Healthcare Settings ◽  
Care Facilities ◽  
Ethics Program ◽  
Made In

Ethical issues in long-term care settings, although having received attention in the literature, have not in our opinion received the appropriate level they require. Thus, we applaud the Cambridge Quarterly for publishing this case. We can attest to the significance of ethical issues arising in long-term care facilities, as Mr. Hope’s case is all too familiar to those practicing in these settings. What is unique about this case is that an actual ethics consult was made in a long-term care setting. We have seen very little in the published literature on the use of ethics structures in long-term care populations. Our experience is that these healthcare settings are ripe for ethical concerns and that providers, patients, families, and staff need/desire ethics resources to actively and preventively address ethical concerns. The popular press has begun to recognize the ethical issues involved in long-term care settings and the need for ethics structures. Recently, in California a nurse refused to initiate CPR for an elderly patient in a senior residence. In that case, the nurse was quoted as saying that the facility had a policy that nurses were not to start CPR for elderly patients.1 Although this case is not exactly the same as that of Mr. Hope, it highlights the need for developing robust ethics program infrastructures in long-term care settings that work toward addressing ethical issues through policy, education, and active consultation.

“They don't just disappear”: Acknowledging death in the long-term care setting— ADDENDUM

2012 ◽  
Vol 10 (4) ◽  
pp. 313-313
Author(s):  
Janine Maitland ◽  
Kevin Brazil ◽  
Bill James-Abra
Keyword(s):  
Care Setting ◽  
Long Term Care ◽  
Term Care

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.

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