| Literature DB >> 28410173 |
Thomas Kirkovits1, Timo Schinkoethe1,2, Caroline Drewes1, Caroline Gehring1, Ingo Bauerfeind3, Nadia Harbeck1, Rachel Wuerstlein1.
Abstract
BACKGROUND: Lack of adherence and compliance with drug regimens among breast cancer patients represent substantial problems in oral therapies, leading to significant impacts on mortality. Where other systems have failed, electronic health (eHealth) could be a possible solution to improve medication intake, along with the doctor-patient relationship. Initial results from studies concerning new interventions for therapy support are promising, but reports suggest that general acceptance of new treatment support tools is needed among patients and physicians alike.Entities:
Keywords: acceptance; breast cancer; eHealth; mobile health; patient adherence; patient compliance; physicians; telemedicine
Year: 2016 PMID: 28410173 PMCID: PMC5367844 DOI: 10.2196/cancer.5132
Source DB: PubMed Journal: JMIR Cancer ISSN: 2369-1999
Physicians’ sociodemographic characteristics.
| Participants’ characteristics | % | n/N | |
| Female | 57.5 | 69/120 | |
| Male | 40.8 | 49/120 | |
| Not available | 1.7 | 2/120 | |
| Median age in years (range) | 41 (25-68) | ||
| 20-29 | 16.8 | 19/113 | |
| 30-39 | 23.9 | 27/113 | |
| 40-49 | 30.1 | 34/113 | |
| 50-59 | 22.1 | 25/113 | |
| 60-69 | 7.1 | 8/113 | |
| Medical student | 2.5 | 3/120 | |
| Junior physician | 16.7 | 20/120 | |
| Board certified specialist | 26.7 | 32/120 | |
| Senior physician/head of department | 21.7 | 26/120 | |
| Chief physician | 17.5 | 21/120 | |
| Others | 6.7 | 8/120 | |
| Not available | 8.3 | 10/120 | |
| Oncology (gynecological specialist) | 46.7 | 56/120 | |
| General gynecology | 21.7 | 26/120 | |
| Hematology and oncology | 9.2 | 11/120 | |
| Radiation therapy | 7.5 | 9/120 | |
| Radiology | 1.7 | 2/120 | |
| General surgery | 0.0 | 0/120 | |
| Others | 9.2 | 11/120 | |
| Not available | 4.2 | 5/120 | |
| Ambulatory/private practice | 25.8 | 31/120 | |
| Medical care center | 0.8 | 1/120 | |
| General hospital | 5.0 | 6/120 | |
| Hospital with high grade of specialization | 1.7 | 2/120 | |
| Teaching hospital | 14.2 | 17/120 | |
| University hospital | 40.0 | 48/120 | |
| Others | 5.0 | 6/120 | |
| Not available | 7.5 | 9/120 | |
Actual usage of modern media by breast cancer specialists.
| Technology and media | % | n/N | |
| Any type of phone | 99.2 | 119/120 | |
| Landline phone | 89.9 | 107/119 | |
| Any mobile phone | 100.0 | 119/119 | |
| Mobile phone (no Internet) | 47.1 | 56/119 | |
| Apple iPhone | 53.8 | 64/119 | |
| Smartphone using Android | 13.4 | 16/119 | |
| Smartphone (others) | 5.9 | 7/119 | |
| Any type of computer | 99.2 | 119/120 | |
| Personal computer with Internet access | 60.5 | 72/119 | |
| Notebook with Internet access | 83.2 | 99/119 | |
| Apple iPAD | 26.9 | 32/119 | |
| Tablet using Android | 5.0 | 6/119 | |
| Tablet (others) | 0.0 | 0/119 | |
| Internet access | 89.7 | 105/117 | |
| Divided patient-network and Internet access | 10.3 | 12/117 | |
| No Internet access | 0.0 | 0/117 | |
| Physicians | 97.5 | 115/118 | |
| Nurses/physicians’ assistants | 74.6 | 88/118 | |
| Other coworkers | 66.1 | 78/118 | |
| Always with me | 78.0 | 92/118 | |
| Only en route | 16.1 | 19/118 | |
| Mostly at home | 0.8 | 1/118 | |
| Mostly out of use | 5.1 | 6/118 | |
| Business and private | 90.9 | 80/88 | |
| Private only | 9.1 | 8/88 | |
| Business only | 0.0 | 0/88 | |
Internet usage among breast cancer specialists.
| Usage | % | n/N | |
| Internet usage in general | 99.2 | 119/120 | |
| Daily | 84.9 | 101/119 | |
| >Once per week | 15.1 | 18/119 | |
| <Once per week | 0 | 0/119 | |
| At home only | 0.9 | 1/115 | |
| At work only | 2.6 | 3/115 | |
| Both | 96.5 | 111/115 | |
| 98.3 | 118/120 | ||
| Reading news/articles online | 66.7 | 80/120 | |
| Wikis/online encyclopedia | 60.0 | 72/120 | |
| Gain health information | 41.7 | 50/120 | |
| Social networks (private) | 35.8 | 43/120 | |
| Making calls via the Internet | 31.7 | 38/120 | |
| Educational online courses | 22.5 | 27/120 | |
| Social networks (business) | 17.5 | 21/120 | |
| PubMed | 87.5 | 105/120 | |
| Online guideline search | 84.2 | 101/120 | |
| 79.2 | 95/120 | ||
| Adjuvant! | 57.5 | 69/120 | |
| Wikipedia | 52.5 | 63/120 | |
| Rote Liste (collection of all medications available) | 48.3 | 58/120 | |
| Yes | 98.3 | 118/120 | |
| No | 1.7 | 2/120 | |
| Yes | 38.1 | 45/118 | |
| No | 61.9 | 73/118 | |
Physicians’ opinions regarding future use of eHealth tools.
| Description | Total (N) | Agreement, % (n) | Neutral, % (n) | Denial, % (n) | ||
| Grade 1 | Grade 2 | Grade 3 | Grade 4 | Grade 5 | ||
| Support for patients via Internet | 119 | 28.6 (34) | 37.8 (45) | 22.7 (27) | 0.8 (1) | 10.1 (12) |
| Support for patients via smartphone | 117 | 24.8 (29) | 26.5 (31) | 25.6 (30) | 9.4 (11) | 13.7 (16) |
| Registration of side effects via electronic devices | 118 | 31.4 (37) | 39.8 (47) | 12.7 (15) | 7.6 (9) | 8.5 (10) |
| Getting information about side effects via email | 118 | 17.8 (21) | 25.4 (30) | 28.8 (34) | 7.5 (9) | 20.0 (24) |
| Getting information about side effects via Internet | 112 | 9.8 (11) | 25.9 (29) | 31.3 (35) | 8.0 (9) | 25.0 (28) |
| Getting information about side effects via phone | 114 | 6.1 (7) | 7.9 (9) | 18.4 (21) | 19.3 (22) | 48.2 (55) |
| Getting information about side effects via fax | 114 | 2.6 (3) | 5.3 (6) | 22.8 (26) | 14.9 (17) | 54.4 (62) |
Acceptance of documentation of side effects via new media.
| Delivery method of registered side effects | Acceptance of side effect documentation, % (n/N) | Disapproval of side effect documentation, % (n/N) |
| Via email | 53.0 (44/83) | 36.8 (7/19) |
| Via Internet | 46.8 (36/77) | 21.1 (4/19) |
| Via phone | 12.7 (10/79) | 15.8 (3/19) |
| Via fax | 10.0 (8/80) | 26.3 (5/19) |
Subgroup-specific results for supporting patients via eHealth tools.
| Characteristics | Acceptance of support via Internet, % (n/N) | Acceptance of support via smartphone, % (n/N) | Acceptance of side effect | |
| Female | 85.5 (47/55) | 65.5 (36/55) | 80.0 (48/60) | |
| Male | 86.5 (32/37) | 77.1 (27/35) | 84.1 (37/44) | |
| 20-29 | 88.2 (15/17) | 73.3 (11/15) | 88.2 (15/17) | |
| 30-39 | 95.7 (22/23) | 90.5 (19/21) | 88.0 (22/25) | |
| 40-49 | 85.7 (24/28) | 66.7 (18/27) | 81.3 (26/32) | |
| 50-59 | 81.3 (13/16) | 65.0 (13/20) | 68.4 (13/19) | |
| 60-69 | 66.7 (4/6) | 33.3 (1/3) | 71.4 (5/7) | |
| Practice | 78.3 (18/23) | 68.2 (15/22) | 76.0 (19/25) | |
| Hospital | 89.5 (17/19) | 63.2 (12/19) | 86.4 (19/22) | |
| University hospital | 87.2 (34/39) | 73.7 (28/38) | 82.2 (37/45) | |
| Less than 1000 | 0.0 (0/0) | 0.0 (0/0) | 0.0 (0/0) | |
| 1000-9999 | 100.0 (2/2) | 100.0 (2/2) | 100.0 (3/3) | |
| 10,000-49,999 | 75.0 (12/16) | 40.0 (6/15) | 64.3 (9/14) | |
| 50,000-99,999 | 83.3 (5/6) | 83.3 (5/6) | 100.0 (7/7) | |
| More than 100,000 | 88.4 (61/69) | 75.8 (50/66) | 82.5 (66/80) | |
| Medical student | 100.0 (3/3) | 66.7 (2/3) | 66.7 (2/3) | |
| Resident physician | 100.0 (18/18) | 88.2 (15/17) | 94.7 (18/19) | |
| Medical specialist | 90.9 (20/22) | 72.7 (16/22) | 82.1 (23/28) | |
| Senior physician | 80.0 (16/20) | 59.1 (13/22) | 82.6 (19/23) | |
| Chief physician | 86.7 (13/15) | 71.4 (10/14) | 76.5 (13/17) | |
| Others | 42.9 (3/7) | 40.0 (2/5) | 60.0 (3/5) | |