1 |
Abdo, et al. (2018) [15] |
Lebanon |
Upper-middleincome |
Prospective |
Cost of illness (COI) |
Incidence-based |
Healthcare system |
203 stroke patients |
Direct medical cost |
2 |
Camacho, et al. (2018) [16] |
Colombia |
Upper-middleincome |
Retrospective |
Health expenditure |
Prevalence-based |
Third-party payer |
Data are provided by ACEMI, an association of Colombian private health insurance companies |
Direct medical cost |
3 |
Cha, Yu–Jin (2018) [17] |
South Korea |
High income |
Retrospective |
Cost of illness (COI) |
Prevalence-based |
Participant (patients) and families |
Insurance claims data generated during 2015 in Korea (N = 515,848) |
Direct medical cost, direct cost, indirect cost. |
4 |
Ganapathy (2015) [18] |
United States |
High income |
Cross-sectional |
Health expenditure |
Prevalence-based |
Society |
Internet survey data were collected from 153 caregivers of stroke patients |
Indirect cost (productivity lost) |
5 |
İçağasıoğlu, et al. (2017) [19] |
Turkey |
Upper-Middleincome |
Retrospective |
Cost of Illness (COI) |
Prevalence-based |
Healthcare system |
84 stroke patients |
Direct and Indirect cost |
6 |
Jennum, et al. (2015) [20] |
Denmark |
High income |
Cross-sectional |
Cost of illness (COI) |
Prevalence-based |
Society |
Records from the Danish National Patient Registry of 93,047 ischemic, 26,012 hemorrhagic, and 128,824 stroke patients were unspecified and compared with 364,433, 103,741, and 500,490 matched controls, respectively. |
Direct medical cost |
7 |
Joo, et al. (2017) [21] |
United States |
High income |
Retrospective |
Health expenditure |
Prevalence-based |
Society |
Using the 2010 Health and Pension Study, data on un-institutionalized adults aged ≥ 65 years (n = 10,129) in 2015–2017 |
Indirect medical cost |
8 |
Lekander, et al. (2017) [22] |
Sweden |
High income |
Prospective |
Health expenditure |
Incidence-based |
Society |
47,807 patients were diagnosed with stroke during 2007–2010, allowing for two years of follow-up |
Total cost |
9 |
Maredza and Chola (2016) [23] |
South Africa |
Upper-middleincome |
Prospective |
Cost of illness (COI) |
Prevalence-based |
Healthcare system |
A population of around 90,000 people living in the Agincourt sub-district of Mpumalanga province, northeast South Africa, covered by a demographic and health surveillance system (health and demographic surveillance system, HDSS) |
Direct cost |
10 |
Persson, et al. (2017) [24] |
Sweden |
High income |
Prospective |
Health expenditure |
Prevalence-based |
Participant (patients) and families |
53 couples provided informal support, and 168 couples did not provide informal support |
Indirect medical cost |
11 |
Van Eeden, et al. (2015) [25] |
The Netherlands |
High income |
Retrospective |
Cost of illness (COI) |
Prevalence-based |
Society |
395 stroke patients |
Total cost |
12 |
Vieira, et al. (2019) [26] |
Brazil |
Upper-middleincome |
Prospective |
Cost of illness (COI) |
Prevalence-based |
Healthcare system |
173 stroke patients |
Direct medical cost |
13 |
Zhang, et al. (2019) [27] |
China |
Upper-middleincome |
Retrospective |
Cost of illness (COI) |
Prevalence-based |
Healthcare system |
A total of 114,872 were hospitalized for five types of stroke |
Direct medical cost |