| Literature DB >> 27095507 |
Veronica Ramirez1, Emily Johnson, Cesar Gonzalez, Vanessa Ramirez, Barbara Rubino, Gina Rossetti.
Abstract
BACKGROUND: There is significant potential for mobile health technology to improve health outcomes for patients with chronic diseases. However, there is a need for further development of mobile health technology that would help to improve the health of lower-income communities.Entities:
Keywords: Mobile health applications; mobile health technology; telemedicine
Year: 2016 PMID: 27095507 PMCID: PMC4858592 DOI: 10.2196/mhealth.4928
Source DB: PubMed Journal: JMIR Mhealth Uhealth ISSN: 2291-5222 Impact factor: 4.773
Participant demographics (n=244).
| Variable |
| n (%) |
|
| 18-24 | 20 (8.2) |
|
| 25-34 | 29 (11.9) |
|
| 35-44 | 48(19.7) |
|
| 45-54 | 75 (30.7) |
|
| 55-64 | 62 (25.4) |
|
| 65-74 | 9 (3.7) |
|
| 75+ | 1 (0.4) |
|
| Female | 139 (58.6) |
|
| Male | 98 (41.4) |
|
| Mixed Race, Other Race | 3 (1.2) |
|
| Asian or Pacific Islander | 20 (8.2) |
|
| Black or African American | 19 (7.8) |
|
| Hispanic or Latino | 184 (75.4) |
|
| White/Caucasian | 16 (6.6) |
|
| Prefer not to answer | 2 (0.8) |
|
| Spanish | 135 (55.3) |
|
| English | 96 (39.3) |
|
| Mandarin/Cantonese | 2 (0.8) |
|
| Tagalog | 6 (2.5) |
|
| Other | 5 (2.1) |
|
| English | 77 (51) |
|
| Spanish | 65 (43) |
|
| Other | 10 (6) |
|
| < 20,000 | 172 (79.3) |
|
| 20,000-40,000 | 33 (15.2) |
|
| 40,000-60,000 | 5 (2.3) |
|
| 60,000-80,000 | 4 (1.8) |
|
| 80,000-100,000 | 1 (0.5) |
|
| > 100,000 | 2 (0.9) |
|
| No schooling | 3 (1.7) |
|
| Elementary or Middle School | 33 (18.5) |
|
| Some High School | 29 (16.3) |
|
| High School Diploma | 37 (20.8) |
|
| Some College | 36 (20.2) |
|
| College Degree | 29 (16.3) |
|
| Masters/Professional | 11 (6.2) |
Mobile phone/Internet usage
| Item |
| n (%) |
|
| Yes | 223 (91.4) |
|
| Yes, with Internet capability | 169 (75.8) |
|
| Yes, without Internet capability | 55 (24.7) |
|
| No | 21 (8.6) |
|
| 125 (51.2) | |
|
| 31 (12.7) | |
|
| Google Plus | 26 (10.7) |
|
| 44 (18.0) | |
|
| Myspace | 2 (0.8) |
|
| Other | 2 (0.8) |
|
| Less than a few times a month | 34 (21.3) |
|
| A few times a month | 15 (9.4) |
|
| A few times a week | 20 (12.5) |
|
| About once a day | 44 (29.4) |
|
| More than once a day | 47 (27.5) |
|
| Spanish | 107 (49.3) |
|
| English | 110 (50.7) |
|
| Yes | 160 (67.2) |
|
| No | 71 (29.8) |
|
| Not sure | 7 (2.9) |
|
|
|
|
|
| Yes | 130 (57.3) |
|
| Yes, and use health-related apps | 41 (31.5) |
|
| No | 97 (42.7) |
|
| 45 (33) | |
|
| WebMD | 15 (11) |
|
| YouTube | 7 (5) |
|
| Yahoo/Bing/Other Search Engine | 3 (2) |
|
| Mayo Clinic/PubMed/NIH | 2 (1) |
|
| Other | 7 (5) |
Interest in health apps/social media.
| Item |
| n (%) |
|
| Yes | 207 (85.9) |
|
| No | 34 (14.1) |
|
| Every day | 88 (39.8) |
|
| Every week | 83 (37.6) |
|
| Every month | 30 (13.6) |
|
| Every 2-3 months | 6 (2.7) |
|
| Not at all | 14 (6.3) |
|
| Sugar log for diabetes | 84 (34.4) |
|
| Nutrition information | 134 (54.9) |
|
| Calorie counter | 81 (33.2) |
|
| Exercise log/tips | 107 (43.9) |
|
| Mental wellness | 62 (25.4) |
|
| General information about diseases | 130 (53.3) |
|
| Other | 23 (9.4) |
|
| Yes | 168 (70.3) |
|
| No | 71 (29.7) |
Multivariate models to predict health app and social media use among participants with mobile phones.
| Model Outcome |
| OR | 95% CI |
|
| Phone language (Spanish vs English) | 0.15 | (0.03-0.68) |
|
| Hispanic, yes or no | 0.86 | (0.30-2.43) |
|
| Age under 55 | 1.37 | (0.43-4.34) |
|
| Income under $20,000 | 1.26 | (0.41-3.90) |
|
| Sex | 0.46 | (0.17-1.17) |
|
| High school degree or above | 0.81 | (0.19-3.37) |
|
| Phone language (Spanish vs English) | 0.37 | (0.14-0.94) |
|
| Hispanic, yes or no | 0.50 | (0.17-1.49) |
|
| Age under 55 | 2.43 | (1.05-5.66) |
|
| Income under $20,000 | 0.95 | (0.38-2.38) |
|
| Sex | 0.55 | (0.26-1.14) |
|
| High school degree or above | 1.23 | (0.50-3.01) |