| Literature DB >> 23624105 |
Matthew Price1, Deborah Williamson, Romina McCandless, Martina Mueller, Mathew Gregoski, Brenda Brunner-Jackson, Eveline Treiber, Lydia Davidson, Frank Treiber.
Abstract
BACKGROUND: Mobile phone-based interventions present a means of providing high quality health care to hard-to-reach underserved populations. Migrant farm workers (MFWs) are among the most underserved populations in the United States due to a high prevalence of chronic diseases yet limited access to health care. However, it is unknown if MFWs have access to mobile phone devices used in mobile health (mHealth) interventions, or if they are willing to use such technologies.Entities:
Keywords: health care disparities; hypertension; mobile phone; rural health
Mesh:
Year: 2013 PMID: 23624105 PMCID: PMC3650933 DOI: 10.2196/jmir.2500
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Responses to self-report survey assessing attitudes toward mHealth technology in migrant farm workers (N=80).
| Questions assessing attitudes | Proportion of responses, n (%) | |
|
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| |
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| Yes | 10 (13) |
|
| No | 70 (87) |
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|
| |
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| Definitely would not use it | 4 (5) |
| Not likely to use | 3 (4) | |
| Neither likely nor unlikely | 8 (10) | |
| Likely would use | 37 (46) | |
| Definitely would use it | 28 (35) | |
|
|
| |
|
| Definitely would not use it | 2 (3) |
| Not likely to use | 3 (4) | |
| Neither likely nor unlikely | 4 (6) | |
| Likely would use | 34 (41) | |
| Definitely would use it | 37 (46) | |
|
|
| |
|
| Definitely would not use it | 2 (3) |
| Not likely to use | 0 (0) | |
| Neither likely nor unlikely | 3 (4) | |
| Likely would use | 34 (43) | |
| Definitely would use it | 41 (51) | |
|
|
| |
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| No it cannot | 2 (3) |
|
| Yes, but have many doubts | 2 (3) |
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| Not sure | 8 (10) |
|
| Yes but have some doubts | 10 (13) |
|
| Yes without a doubt | 58 (71) |
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|
| |
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| No trust | 2 (3) |
| Many doubts | 5 (7) | |
| Neither trust nor distrust | 10 (13) | |
| Few doubts | 16 (20) | |
| Complete trust | 45 (56) | |
Predictors of attitudes toward mHealth technologies among migrant farm workers.
| Variable | Willingness to use mHealth | Willingness to use mHealth with initial tutorial on the app | Willingness to use mHealth with continued technical support | Belief that mHealth can improve communication with provider | Concerns about confidentiality | |||||
|
| β |
| β |
| β |
| β |
| β |
|
| Age | –0.02 | .87 | 0.14 | .29 | 0.05 | .67 | –0.27 | .05 | 0.05 | .70 |
| Male gender | 0.06 | .62 | 0.11 | .37 | –0.02 | .89 | –0.01 | .99 | 0.34 | .006 |
| Diagnosis of EH | <0.01 | .99 | 0.06 | .62 | –0.03 | .79 | –0.12 | .37 | –0.03 | .82 |
| Own cell phone | 0.24 | .09 | 0.15 | .29 | 0.22 | .08 | 0.22 | .12 | 0.13 | .33 |
| Own smartphone | –0.17 | .26 | –0.25 | .10 | –0.12 | .41 | –0.13 | .42 | –0.03 | .84 |
| Sends text messages | 0.21 | .13 | 0.32 | .06 | 0.148 | .23 | –0.15 | .28 | –0.14 | .28 |