| Literature DB >> 30135050 |
Samantha L Connolly1,2, Christopher J Miller1,2, Christopher J Koenig3,4, Kara A Zamora3, Patricia B Wright5, Regina L Stanley6, Jeffrey M Pyne5,6.
Abstract
BACKGROUND: Mental health smartphone apps provide support, skills, and symptom tracking on demand and come at minimal to no additional cost to patients. Although the Department of Veterans Affairs has established itself as a national leader in the creation of mental health apps, veterans' attitudes regarding the use of these innovations are largely unknown, particularly among rural and aging populations who may benefit from increased access to care.Entities:
Keywords: PTSD; age; alcohol abuse; anxiety disorders; depression; mental health; mhealth; mobile phone; posttraumatic stress disorder; qualitative analysis; rurality; smartphone apps; veterans
Year: 2018 PMID: 30135050 PMCID: PMC6125614 DOI: 10.2196/10748
Source DB: PubMed Journal: JMIR Mhealth Uhealth ISSN: 2291-5222 Impact factor: 4.773
Sample demographics.
| Characteristics | Total sample (N=66) | Urban subset (n=38) | Rural subset (n=28) | |
| Age (years), mean (SD); range | 44.61 (13.39); 20-69 | 43.89 (12.46); 20-69 | 45.57 (14.74); 26-69 | |
| Rurality (rural), n (%) | 28 (42) | N/Aa | N/A | |
| Sex (female), n (%) | 17 (26) | 11 (29) | 6 (21) | |
| White | 47 (71) | 25 (66) | 22 (79) | |
| Black | 14 (21) | 10 (26) | 4 (14) | |
| Hispanic | 7 (11) | 6 (16) | 1 (4) | |
| Asian | 3 (5) | 3 (8) | 0 (0) | |
| Native American or Pacific Islander | 5 (8) | 4 (11) | 1 (4) | |
| Multiracial | 2 (3) | 2 (5) | 0 (0) | |
| Other | 2 (3) | 1 (3) | 1 (4) | |
| High school graduate or general equivalency diploma | 12 (18) | 7 (18) | 5 (18) | |
| Technical school | 1 (2) | 1 (3) | 0 (0) | |
| Some college | 28 (42) | 17 (45) | 11 (39) | |
| Bachelor’s degree | 15 (23) | 6 (16) | 9 (32) | |
| Master’s degree | 4 (6) | 4 (11) | 0 (0) | |
| Employed (full- or part-time) | 25 (38) | 15 (39) | 10 (36) | |
| Disabled | 18 (27) | 12 (32) | 6 (21) | |
| Retired | 6 (9) | 3 (8) | 3 (11) | |
| Unemployed | 3 (5) | 2 (5) | 1 (4) | |
| Student | 5 (8) | 1 (3) | 4 (14) | |
| Other | 3 (5) | 1 (3) | 2 (7) | |
| <10,000 | 9 (14) | 5 (13) | 4 (14) | |
| 10,000-25,000 | 18 (27) | 10 (26) | 8 (29) | |
| 25,001-50,000 | 15 (23) | 9 (24) | 6 (21) | |
| 50,001-75,000 | 14 (21) | 8 (21) | 6 (21) | |
| ≥75,001 | 3 (5) | 2 (5) | 1 (4) | |
aN/A: not applicable.
Primary themes: exemplar quotes and rurality and age differences.
| Theme and attitude | Exemplar quotes | Greater % of statementsa | |||
| Positive | Urban veterans: 68% (26/38) urban 36% (10/28) rural No age differences observed | ||||
| Negative | Rural veterans: 24% (9/38) urban 60% (17/28) rural No age differences observed | ||||
| Positive | Urban, younger veterans: 45% (17/38) urban 18% (5/28) rural 39% (16/41) young 24% (6/25) old | ||||
| Negative | Rural, older veterans: 13% (5/38) urban 39% (11/28) rural 15% (6/41) young 40% (10/25) old | ||||
| Positive | Urban veterans: 13% (5/38) urban 4% (1/28) rural No age differences observed | ||||
| Negative | Rural veterans: 11% (4/38) urban 29% (8/28) rural No age differences observed | ||||
| Facilitators | Greater % of veterans reporting mobile phone ownership were younger: 56% (23/41) young 32% (8/25) old No rurality differences observed | ||||
| Barriers | Greater % of veterans reporting not owning a mobile phone and having financial or connectivity barriers were rural and older: 16% (6/38) urban 32% (9/28) rural 12% (5/41) young 40% (10/25) old | ||||
aValues indicate the raw count and percentage of veterans per group (urban or rural, young or old) who made statements within a given theme. Findings are reported as a difference between groups if there is at least a ×1.5 difference between percentages.