| Literature DB >> 23977642 |
Vanessa Hiratsuka1, Rebecca Delafield, Helene Starks, Adrian Jacques Ambrose, Marjorie Mala Mau.
Abstract
BACKGROUND: Among indigenous populations in remote locations who are at increased risk for chronic diseases such as diabetes, telemedicine has the potential to improve access to health care services and thus may reduce adverse health outcomes. Yet few studies are available on how best to use telemedicine technology in reducing ethnic and racial health care disparities.Entities:
Keywords: Alaska; Indians, North America; chronic disease treatment; focus groups; patient perspective; provider perspective; technology use
Mesh:
Year: 2013 PMID: 23977642 PMCID: PMC3751232 DOI: 10.3402/ijch.v72i0.21401
Source DB: PubMed Journal: Int J Circumpolar Health ISSN: 1239-9736 Impact factor: 1.228
Participant characteristics
| Patient/caregiver characteristics | Categories | Alaska (n=5) | Hawai'i (n=12) | Total (n=17) |
|---|---|---|---|---|
| Sex | Female | 4 (80%) | 9 (75%) | 13 (76%) |
| Male | 1 (20%) | 3 (25%) | 4 (24%) | |
| Age category | 25–34 years | 0 (0%) | 1 (8%) | 1 (6%) |
| 35–44 years | 0 (0%) | 3 (25%) | 3 (18%) | |
| 45–54 years | 1 (20%) | 1 (8%) | 2 (12%) | |
| 55–64 years | 2 (40%) | 5 (42%) | 7 (41%) | |
| 65+ years | 2 (40%) | 2 (17%) | 4 (24%) | |
| Primary ethnicity/race | American Indian/Alaska Native | 5 (100%) | 0 (0%) | 5 (29%) |
| Native Hawaiian | 0 (0%) | 9 (75%) | 9 (53%) | |
| Caucasian | 0 (0%) | 2 (17%) | 2 (12%) | |
| Asian (Filipino) | 0 (0%) | 1 (8%) | 1 (6%) | |
| Education level | No high-school diploma | 0 (0%) | 1 (8%) | 1 (6%) |
| High-school diploma or GED | 0 (0%) | 3 (25%) | 3 (18%) | |
| Some college/college graduate | 5 (100%) | 8 (67%) | 13 (76%) | |
| Provider characteristics | Categories | Alaska (n=15) | Hawai'i (n=8) | Total (n=23) |
| Sex | Female | 7 (47%) | 3 (38%) | 10 (43%) |
| Male | 8 (53%) | 5 (63%) | 13 (57%) | |
| Age | 25–34 year category | 4 (27%) | 1 (13%) | 5 (22%) |
| 35–44 year category | 5 (33%) | 0 (0%) | 5 (22%) | |
| 45–54 year category | 4 (20%) | 1 (13%) | 5 (22%) | |
| 55–64 year category | 2 (13%) | 4 (50%) | 6 (26%) | |
| 65+ years category | 0 (0%) | 2 (25%) | 2 (9%) | |
| Primary ethnicity/race | Alaska Native/American Indian | 1 (7%) | 0 (0%) | 1 (4%) |
| Native Hawaiian | 0 (0%) | 2 (25%) | 2 (9%) | |
| Asian | 5 (33%) | 1 (13%) | 6 (26%) | |
| Caucasian | 8 (53%) | 5 (63%) | 13 (57%) | |
| Other | 1 (7%) | 0 (0%) | 1 (4%) | |
| Health profession | MD | 10 (67%) | 6 (75%) | 16 (70%) |
| RN or PA | 1 (7%) | 1 (13%) | 2 (9%) | |
| Other | 4 (27%) | 1 (13%) | 5 (22%) | |
| Practice location | Rural | 15 | 7 (88%) | 7 (88%) |
| Urban | 15 (100%) | 0 (0%) | 0 (0%) | |
| Unknown | – | 1 (12%) | 1 (12%) | |
| Experience using telemedicine technologies to provide medical care | Yes | 6 (40%) | 4 (50%) | 10 (43%) |
All providers serve both urban and rural locations.