| Literature DB >> 30869638 |
Goldy C George1, Eucharia C Iwuanyanwu1, Adrianna S Buford1, Sarina A Piha-Paul1, Vivek Subbiah1, Siqing Fu1, Daniel D Karp1, Shubham Pant1, Christina O Hinojosa1, Kenneth R Hess2, Charles S Cleeland3, Elmer V Bernstam4, Funda Meric-Bernstam1, David S Hong1.
Abstract
BACKGROUND: The role of cancer-related internet use on the patient-physician relationship has not been adequately explored among patients who are cancer-related internet users (CIUs) in early-phase clinical trial clinics.Entities:
Keywords: cancer; clinical trial; doctor; early-phase clinical trial; internet; patient; patient-physician relationship; physician; symptoms
Mesh:
Year: 2019 PMID: 30869638 PMCID: PMC6437608 DOI: 10.2196/10348
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Characteristics of cancer-related internet users in an early drug development clinic (N=179).
| Characteristics | Internet users, n (%) | |
| Millennials or Generation X/Y | 49 (24) | |
| Baby Boomers | 89 (47) | |
| Greatest or Silent | 41 (29) | |
| Male | 85 (48) | |
| Female | 94 (53) | |
| Nonminority | 152 (85) | |
| Minority | 27 (15) | |
| Lung | 22 (12) | |
| Colorectal | 20 (11) | |
| Melanoma | 19 (11) | |
| Head and neck | 16 (9) | |
| Ovarian | 16 (9) | |
| Breast | 15 (8) | |
| Sarcoma | 10 (6) | |
| Prostate | 9 (5) | |
| Endometrial | 9 (5) | |
| Pancreatic | 6 (3) | |
| Othersa | 37 (21) | |
aIncluded thyroid (n=6), lymphoma (n=3), hepatocellular (n=3), cervical (n=3), kidney (n=2), brain (n=2), and other tumor types (n=18).
Decision making related to cancer treating hospital and early-phase clinical trial enrollment among cancer-related internet users in an early drug development clinic.
| Questionnaire item | Overall (N=179), n (%) | Millennials or Generation X/Y (n=49), n (%) | Baby Boomers (n=89), n (%) | Greatest or Silent (n=41), n (%) | |
| Reputation of cancer care organization/hospital | 112/174 (64) | 35/48 (73) | 47/85 (55) | 30/41 (73) | |
| Physician recommendation | 111/174 (64) | 30/48 (63) | 57/85 (67) | 24/41 (59) | |
| Family or friend recommendation | 42/174 (24) | 12/48 (25) | 19/85 (22) | 11/41 (27) | |
| No, not at all | 99/171 (58) | 21/48 (44) | 53/83 (64) | 25/40 (63) | |
| Yes, absolutely | 45/171 (26) | 14/48 (29) | 22/83 (27) | 9/40 (23) | |
| Yes, somewhat | 27/171 (16) | 13/48 (27) | 8/83 (10) | 6/40 (15) | |
| No, not at all | 134/165 (81) | 38/47 (81) | 63/81 (78) | 33/37 (89) | |
| Yes, somewhat | 15/165 (9) | 4/47 (9) | 8/81 (10) | 1/37 (3) | |
| Yes, absolutely | 16/165 (10) | 5/47 (11) | 10/81 (12) | 3/37 (8) | |
| No, not at all | 129/160 (81) | 35/45 (78) | 62/79 (79) | 32/36 (89) | |
| Yes, somewhat | 14/160 (9) | 4/45 (9) | 9/79 (11) | 2/36 (6) | |
| Yes, absolutely | 17/160 (11) | 6/45 (13) | 8/79 (10) | 2/36 (6) | |
| Referring physician recommendation | 149/168 (89) | 44/47 (94) | 71/83 (86) | 34/38 (90) | |
| Assigned by the treating hospital | 15/168 (9) | 1/47 (2) | 10/83 (12) | 4/38 (11) | |
| Family or friend recommendation | 6/168 (4) | 3/47 (6) | 1/83 (1) | 2/38 (5) | |
| Internet | 4/164 (2) | 1/47 (2) | 4/83 (5) | 1/38 (3) | |
Impact of the internet on the patient-physician relationship among cancer-related internet users in an early drug development clinic.
| Characteristics | Overall (N=179), n (%) | Millennials or Generation X/Y (n=49), n (%) | Baby Boomers (n=89), n (%) | Greatest or Silent (n=41), n (%) | |
| Yes | 87/167 (52) | 26/46 (56) | 49/82 (60) | 12/39 (31) | |
| No | 80/167 (48) | 20/46 (44) | 33/82 (40) | 27/39 (69) | |
| I ask my doctor | 111/156 (71) | 33/46 (72) | 52/73 (71) | 26/37 (70) | |
| I ask the PA, APN, or other members of the clinical team | 64/156 (41) | 14/46 (30) | 36/73 (49) | 14/37 (38) | |
| If I see it in multiple places I believe it is true | 34/156 (22) | 14/46 (30) | 13/73 (18) | 7/37 (19) | |
| I don’t verify that things I read online are true | 14/156 (9) | 3/46 (7) | 6/73 (8) | 5/37 (14) | |
| Other (source credibility, I check other sources for data and evidence, I visit only reliable sites, sometimes I just take a chance) | 8/156 (5) | 2/46 (4) | 6/73 (8) | 0/37 (0) | |
| Yes | 158/163 (97) | 43/44 (98) | 79/82 (96) | 36/37 (97) | |
| No | 5/163 (3) | 1/44 (2) | 3/82 (4) | 1/37 (3) | |
| Your physician has had extensive training and will make the best decisions for you | 121/150 (81) | 37/42 (88) | 58/73 (80) | 26/35 (74) | |
| You have a good relationship with your physician | 84/150 (56) | 22/42 (52) | 44/73 (60) | 18/35 (51) | |
| Your physician can explain information better | 67/150 (45) | 15/42 (36) | 36/73 (49) | 16/35 (46) | |
| More comprehensive | 1/3 (33) | 0/1 (0) | 0/1 (0) | 1/1 (100) | |
| More up-to-date | 1/3 (33) | 0/1 (0) | 0/1 (0) | 1/1 (100) | |
| No | 105/144 (73) | 30/40 (75) | 48/69 (70) | 27/35 (77) | |
| Sometimes yes, sometimes no | 35/144 (24) | 9/40 (23) | 18/69 (26) | 8/35 (23) | |
| Yes | 4/144 (3) | 1/40 (3) | 3/69 (4) | 0/35 (0) | |
| No | 142/165 (86) | 41/47 (87) | 66/81 (82) | 35/37 (95) | |
| Yes | 23/165 (14) | 6/47 (13) | 15/81(19) | 2/37 (5) | |
Figure 1Box plots showing the distribution of trust in referring physicians, early-phase clinical trial physicians, and Web-based cancer-related information for cancer-related internet users (CIUs) in an early drug development clinic. Purple boxes indicate trust in referring physician, green boxes indicate trust in Phase I clinical trial physician, and orange boxes indicate trust in Web-based cancer-related information. In the overall sample of CIUs and within each generation, CIUs reported significantly higher trust in their referring or Phase I physician than trust in Web-based cancer-related information.