| Literature DB >> 30355554 |
Roberto Collado-Borrell1, Vicente Escudero-Vilaplana1, Antonio Calles1, Estela Garcia-Martin1, Belen Marzal-Alfaro1, Eva Gonzalez-Haba1, Ana Herranz-Alonso1, Maria Sanjurjo-Saez1.
Abstract
BACKGROUND: Information and communication technologies (ICTs) in oncology can revolutionize the medical care of cancer patients. ICTs can promote patients' empowerment and real-time disease monitoring. There is limited information about the impact of ICTs in cancer patients or their level of interest in using these tools for greater management of their condition.Entities:
Keywords: app; eHealth; information and communication technologies; oncology patient
Mesh:
Year: 2018 PMID: 30355554 PMCID: PMC6318148 DOI: 10.2196/11006
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Sociodemographic characteristics of patients (N=611).
| Demographic characteristics | Patients, n (%) | |
| Male | 233 (38.1) | |
| Female | 378 (61.9) | |
| <55 | 256 (41.9) | |
| 56-65 | 179 (29.3) | |
| >65 | 176 (28.8) | |
| Yes | 61 (10.0) | |
| No | 547 (89.5) | |
| No response | 3 (0.5) | |
| No | 576 (94.3) | |
| Yes | 35 (5.7) | |
| No education or incomplete primary education | 32 (5.2) | |
| Primary education | 110 (18.0) | |
| Secondary education | 220 (35.9) | |
| University education | 249 (40.7) | |
| No | 528 (86.4) | |
| Needs help once a day | 29 (4.7) | |
| Needs help several times a day | 39 (6.4) | |
| Totally dependent | 14 (2.3) | |
| No response | 1 (0.2) | |
| Bladder | 9 (1.5) | |
| Breast | 124 (20.3) | |
| Cervical | 8 (1.3) | |
| Colorectal | 113 (18.5) | |
| Esophageal | 13 (2.1) | |
| Head and neck | 16 (2.6) | |
| Hematological | 179 (29.2) | |
| Kidney | 16 (2.6) | |
| Lung | 60 (9.8) | |
| Ovarian | 31 (5.1) | |
| Pancreatic | 28 (4.6) | |
| Prostate | 12 (2.0) | |
| Sarcoma | 16 (2.6) | |
| Skin or melanoma | 8 (1.3) | |
| Stomach | 11 (1.8) | |
| Testicular | 6 (1.0) | |
| Very good | 48 (7.9) | |
| Good | 276 (45.2) | |
| Average | 226 (37.0) | |
| Poor | 50 (8.2) | |
| Very poor | 8 (1.3) | |
| No response | 3 (0.2) | |
Figure 1Frequency with which patients used different information and communication technologies to search for information on the internet.
Frequency of using new technologies to consult internet for oncohematological patients (N=611).
| Use of information and communication technologies | Patients, n (%) | |
| Mobile app | 413 (67.5) | |
| Smartphone | 404 (66.0) | |
| information and communication technologies | 179 (29.2) | |
| I have not heard any of these terms before | 142 (23.2) | |
| eHealth | 88 (14.4) | |
| Mobile health or mHealth | 66 (10.8) | |
| Wearable | 51 (8.3) | |
| Mobile phone | 445 (72.7) | |
| Desktop and/or laptop computer | 416 (68.0) | |
| Tablet | 274 (44.8) | |
| Television with internet (SmartTV) | 58 (9.5) | |
| Smartwatch | 15 (2.5) | |
| Others | 3 (0.5) | |
| I do not look for information on the internet | 84 (13.7) | |
| Yes | 532 (87.1) | |
| No | 60 (9.8) | |
| No response | 19 (3.1) | |
| Health professionals | 462 (75.5) | |
| Internet | 375 (61.3) | |
| People close to me (friends, relatives, and workmates) | 160 (26.1) | |
| Newspapers, magazines, and pamphlets | 151 (24.7) | |
| Mobile apps | 62 (10.1) | |
| Others | 23 (3.8) | |
| 436 (71.2) | ||
| I do not search for medical information on the internet | 129 (21.1) | |
| Medical societies | 124 (20.3) | |
| Patient associations | 123 (20.1) | |
| YouTube | 68 (11.1) | |
| 45 (7.4) | ||
| Blogs | 43 (7.0) | |
| Others | 21 (3.4) | |
| Other social networks | 11 (1.8) | |
| 10 (1.6) | ||
| Disease prevention, healthy lifestyles, and health care | 301 (49.2) | |
| To find information about the treatment prescribed by my doctor | 289 (47.2) | |
| To find symptoms and learn about potential diseases | 145 (23.7) | |
| To find information about medical centers or health professionals | 139 (22.7) | |
| To find information about alternative or complementary medicines (herbal products and acupuncture) | 107 (17.5) | |
| To get in contact with other people with health problems such as mine | 71 (11.6) | |
| Others | 69 (11.3) | |
| Usually | 269 (44.0) | |
| Sometimes | 148 (24.2) | |
| No response | 77 (12.6) | |
| Always | 66 (10.8) | |
| Never | 51 (8.3) | |
| Yes | 84 (13.7) | |
| No | 129 (21.1) | |
| Depends on the website | 336 (55.0) | |
| No response | 62 (10.1) | |
| No | 451 (73.8) | |
| Yes | 133 (21.8) | |
| No response | 27 (4.4) | |
| Yes | 143 (23.4) | |
| Only if I have still got doubts about something | 168 (27.5) | |
| No | 270 (44.2) | |
| No response | 30 (4.9) | |
Usage preferences for health apps (N=611).
| Usage preferences for health apps | n (%) | |
| No | 93 (15.2) | |
| Yes | 505 (82.7) | |
| No response | 13 (2.1) | |
| No | 478 (78.2) | |
| Yes | 124 (20.3) | |
| No response | 9 (1.5) | |
| Normal phone use (calls, messages, and photos or videos) | 591 (96.6) | |
| To access the internet | 347 (56.7) | |
| Schedule planner and alarms | 305 (49.8) | |
| To use apps | 262 (42.8) | |
| Social networks | 233 (38.1) | |
| Telephone | 470 (76.8) | |
| 270 (44.1) | ||
| Mobile apps | 250 (40.8) | |
| Videoconference | 116 (19.0) | |
| Website | 51 (8.3) | |
| Blogs | 20 (3.3) | |
| Social networks | 18 (2.9) | |
| Yes | 498 (81.5) | |
| No | 82 (13.4) | |
| No response | 31 (5.1) | |
| No | 242 (39.6) | |
| Probably | 199 (32.6) | |
| Yes | 102 (16.7) | |
| No response | 68 (11.1) | |
Figure 2Reasons why patients used a health app, and things they wish the app could help them with.