| Literature DB >> 26133109 |
Jasmine K Zia1, Thai Le2, Sean Munson3, Margaret M Heitkemper4, George Demiris5.
Abstract
OBJECTIVES: The aims of this study were to understand patients' willingness to use different types of health-related smartphone apps and to explore their attitudes on the overall value, usability, feasibility, credibility, intrusiveness, and obtrusiveness of these apps.Entities:
Year: 2015 PMID: 26133109 PMCID: PMC4816251 DOI: 10.1038/ctg.2015.25
Source DB: PubMed Journal: Clin Transl Gastroenterol ISSN: 2155-384X Impact factor: 4.488
Baseline demographics and clinical characteristics
| Age, mean (s.d.) | 41 (13) | 121 |
| Sex, female ( | 73 (60%) | 122 |
| Race, Caucasian ( | 94 (78%) | 120 |
| Married/partnered | 65 (54%) | 121 |
| College educated or above | 67 (56%) | 120 |
| Smartphone ownership | 125 (93%) | 135 |
| Prior health-related app use | 85 (65%) | 135 |
Respondents could select more than one response regarding which gastrointestinal condition(s) they had or which symptom(s) they were experiencing.
Responses to 5-point Likert-scale statements categorized by intended themes
Figure 1Participants' willingness to pay and time commitment thresholds for daily and long-term use.
Summary comparison of questionnaire items across each demographic item and clinical characteristics
| ≤5 min | ≤15 min | ≤30 min | ≤60 min | >60 min | |||
| Maximum time entering app | <0.05 | ||||||
| White/Caucasian | 82 | 43 (52%) | 34 (41%) | 5 (6%) | 0 (0%) | 1 (1%) | |
| Non-White | 24 | 18 (78%) | 5 (22%) | 0 (0%) | 0 (0%) | 0 (0%) | |
| Not willing | ≥$0.99 | ≥$5 | ≥$20 | ≥$50 | |||
| Amount willing to pay | <0.01 | ||||||
| White/Caucasian | 115 | 35 (30%) | 28 (24%) | 37 (32%) | 9 (8%) | 6 (5%) | |
| Non-White | 26 | 16 (62%) | 3 (12%) | 7 (27%) | 0 (0%) | 0 (0%) | |
| Strongly disagree | Disagree | Neutral | Agree | Strongly agree | |||
| Willing to use an app to receive therapies | <0.05 | ||||||
| Single/never married | 42 | 5 (12%) | 9 (21%) | 16 (38%) | 5 (12%) | 7 (17%) | |
| Married/partnered | 78 | 6 (8%) | 5 (6%) | 20 (26%) | 28 (36%) | 19 (24%) | |
| Strongly disagree | Disagree | Neutral | Agree | Strongly agree | |||
| Willing to use an app to track lifestyle habits | <0.001 | ||||||
| Prior experience | 49 | 1 (2%) | 3 (6%) | 9 (18%) | 17 (35%) | 19 (39%) | |
| No experience | 83 | 16 (19%) | 12 (14%) | 18 (22%) | 15 (18%) | 22 (27%) | |
| Willing to use an app for medical information | <0.05 | ||||||
| Prior experience | 50 | 0 (0%) | 2 (4%) | 6 (12%) | 12 (24%) | 30 (60%) | |
| No experience | 84 | 10 (12%) | 3 (4%) | 14 (17%) | 17 (20%) | 40 (48%) | |
| Willing to use an app to monitor health | <0.01 | ||||||
| Prior experience | 50 | 1 (2%) | 6 (12%) | 8 (16%) | 16 (32%) | 19 (38%) | |
| No experience | 83 | 9 (11%) | 14 (17%) | 22 (27%) | 15 (18%) | 23 (28%) | |
| Willing to use an app to receive therapies | <0.05 | ||||||
| Prior experience | 50 | 2 (4%) | 4 (8%) | 15(30%) | 16 (32%) | 13 (26%) | |
| No experience | 84 | 13 (15%) | 11 (13%) | 25 (30%) | 20 (24%) | 15 (18%) | |
| Apps help me manage my medical problems | <0.01 | ||||||
| Prior experience | 47 | 1 (2%) | 0 (0%) | 16(34%) | 18 (38%) | 12 (26%) | |
| No experience | 81 | 7 (9%) | 15 (19%) | 23 (28%) | 24 (30%) | 12 (15%) | |
| Information collected from an app can help my doctor better manage my problems | <0.05 | ||||||
| Prior experience | 49 | 1 (2%) | 0 (0%) | 6 (12%) | 12 (24%) | 30 (60%) | |
| No experience | 80 | 10 (12%) | 3 (4%) | 14 (17%) | 17 (20%) | 40 (48%) | |
| Worry that app would be hard to learn how to use | <0.01 | ||||||
| Prior experience | 49 | 31 (63%) | 11 (22%) | 4 (8%) | 1 (2%) | 2 (4%) | |
| No experience | 80 | 34 (43%) | 17 (21%) | 11 (14%) | 9 (11%) | 9 (11%) | |
| 0–1 Month | ≥3 Months | ≥6 Months | ≥1 Year | Indefinite | |||
| Maximum time period using | <0.001 | ||||||
| Prior experience | 50 | 2 (4%) | 4 (8%) | 1 (2%) | 4 (8%) | 39 (78%) | |
| No experience | 77 | 15 (19%) | 12 (16%) | 4 (5%) | 8 (10%) | 38 (49%) | |
IBD, inflammatory bowel disease; IBS, irritable bowel syndrome.
Only conditions with statistically significant differences are shown.
Kruskal–Wallis or Mann–Whitney tests were conducted to identify relationship between socioeconomic demographic variables and questionnaire response. When appropriate, post-hoc one-sided pairwise Mann–Whitney tests were conducted with a Bonferroni correction.
Most common emerging themes from open-ended questions
| 31 (37%) | |
| 14 (17%) | |
| 14 (17%) | |
| 14 (17%) | |
| 8 (10%) | |
| 33 (39%) | |
| 16 (19%) | |
| 18 (21%) | |
Total number of respondents was 85 and 84, respectively, for the benefits and concerns of health-related apps.