Patients' productivity losses and informal care costs related to ischemic stroke: a French population‐based study

Author(s):  
M. Barral ◽  
H. Rabier ◽  
A. Termoz ◽  
H. Serrier ◽  
C. Colin ◽  
...  
2003 ◽  
Vol 19 (4) ◽  
pp. 656-663 ◽  
Author(s):  
Agneta Andersson ◽  
John Carstensen ◽  
Lars-Åke Levin ◽  
Bengt Göran Emtinger

Objectives: Several studies have sought to analyze the cost-effectiveness of advanced home care and home rehabilitation. However, the costs of informal care are rarely included in economic appraisals of home care. This study estimates the cost of informal care for patients treated in advanced home care and analyses some patient characteristics that influence informal care costs.Methods: During one week in October 1995, data were collected on all 451 patients in advanced home care in the Swedish county of Östergötland. Costs were calculated by using two models: one including leisure time, and one excluding leisure time. Multiple regression analysis was used to analyze factors associated with costs of informal care.Results: Seventy percent of the patients in the study had informal care around the clock during the week investigated. The patients had, on average, five formal care visits per week, each of which lasted for almost half an hour. Thus, the cost of informal care constituted a considerable part of the cost of advanced home care. When the cost of leisure time was included, the cost of informal care was estimated at SEK 5,880 per week per patient, or twice as high as total formal caregiver costs. When leisure time was excluded, the cost of informal care was estimated at SEK 3,410 per week per patient, which is still 1.2 times higher than formal caregiver costs (estimated at SEK 2,810 per week per patient). Informal care costs were higher among patients who were men, who were younger, who had their own housing, and who were diagnosed with cancer.Conclusions: Studies of advanced home care that exclude the cost of informal care substantially underestimate the costs to society, regardless of whether or not the leisure time of the caregiver is included in the calculations.


2015 ◽  
Vol 73 (8) ◽  
pp. 648-654 ◽  
Author(s):  
Marcos C. Lange ◽  
Norberto L. Cabral ◽  
Carla H. C. Moro ◽  
Alexandre L. Longo ◽  
Anderson R. Gonçalves ◽  
...  

Aims To measure the incidence and mortality rates of ischemic stroke (IS) subtypes in Joinville, Brazil. Methods All first-ever IS patients that occurred in Joinville from January 2005 to December 2006 were identified. The IS subtypes were classified by the TOAST criteria, and the patients were followed-up for one year after IS onset. Results The age-adjusted incidence per 100,000 inhabitants was 26 (17-39) for large-artery atherosclerosis (LAA), 17 (11-27) for cardioembolic (CE), 29 (20-41) for small vessel occlusion (SVO), 2 (0.6-7) for stroke of other determined etiology (OTH) and 30 (20-43) for stroke of undetermined etiology (UND). The 1-year mortality rate per 100,000 inhabitants was 5 (2-11) for LAA, 6 (3-13) for CE, 1 (0.1-6) for SVO, 0.2 (0-0.9) for OTH and 9 (4-17) for UND. Conclusion In the population of Joinville, the incidences of IS subtypes were similar to those found in other populations. These findings highlight the importance of better detection and control of atherosclerotic risk factors.


Neurology ◽  
2004 ◽  
Vol 62 (1) ◽  
pp. 77-81 ◽  
Author(s):  
C. Marini ◽  
M. Baldassarre ◽  
T. Russo ◽  
F. De Santis ◽  
S. Sacco ◽  
...  

2017 ◽  
Vol 81 (8) ◽  
pp. 1158-1164 ◽  
Author(s):  
Si-Hyuck Kang ◽  
Eue-Keun Choi ◽  
Kyung-Do Han ◽  
So-Ryoung Lee ◽  
Woo-Hyun Lim ◽  
...  

Medicine ◽  
2015 ◽  
Vol 94 (33) ◽  
pp. e1106 ◽  
Author(s):  
S. Danielle MacNeil ◽  
Kuan Liu ◽  
Amit X. Garg ◽  
Samantha Tam ◽  
David Palma ◽  
...  

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Danial Qureshi ◽  
Sarina Isenberg ◽  
Peter Tanuseputro ◽  
Rahim Moineddin ◽  
Kieran Quinn ◽  
...  

Abstract Background A minority of individuals use a large portion of health system resources, incurring considerable costs, especially in acute-care hospitals where a significant proportion of deaths occur. We sought to describe and contrast the characteristics, acute-care use and cost in the last year of life among high users and non-high users who died in hospitals across Canada. Methods We conducted a population-based retrospective-cohort study of Canadian adults aged ≥18 who died in hospitals across Canada between fiscal years 2011/12–2014/15. High users were defined as patients within the top 10% of highest cumulative acute-care costs in each fiscal year. Patients were categorized as: persistent high users (high-cost in death year and year prior), non-persistent high users (high-cost in death year only) and non-high users (never high-cost). Discharge abstracts were used to measure characteristics and acute-care use, including number of hospitalizations, admissions to intensive-care-unit (ICU), and alternate-level-of-care (ALC). Results We identified 191,310 decedents, among which 6% were persistent high users, 41% were non-persistent high users, and 46% were non-high users. A larger proportion of high users were male, younger, and had multimorbidity than non-high users. In the last year of life, persistent high users had multiple hospitalizations more often than other groups. Twenty-eight percent of persistent high users had ≥2 ICU admissions, compared to 8% of non-persistent high users and only 1% of non-high users. Eleven percent of persistent high users had ≥2 ALC admissions, compared to only 2% of non-persistent high users and < 1% of non-high users. High users received an in-hospital intervention more often than non-high users (36% vs. 19%). Despite representing only 47% of the cohort, persistent and non-persistent high users accounted for 83% of acute-care costs. Conclusions High users – persistent and non-persistent – are medically complex and use a disproportionate amount of acute-care resources at the end of life. A greater understanding of the characteristics and circumstances that lead to persistently high use of inpatient services may help inform strategies to prevent hospitalizations and off-set current healthcare costs while improving patient outcomes.


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