| Literature DB >> 28655299 |
Maria Dolors Ruiz Morilla1,2,3, Mireia Sans4,5, Albert Casasa4,6, Nuria Giménez7,8.
Abstract
BACKGROUND: Technology has significantly changed the way health organizations operate. However, the role it plays in healthcare systems remains unclear. This aim of this study was to evaluate the opinion of physicians regarding e-health and determine what factors influence their opinion and describe the advantages, inconveniences and threats they may perceive by its use.Entities:
Keywords: Attitude to computers; Attitude to health; Attitudes; Delivery of healthcare; Diffusion of innovation; Health knowledge; Organizational innovation; Physician-patient relations; Surveys and questionnaires; Telemedicine
Mesh:
Year: 2017 PMID: 28655299 PMCID: PMC5488364 DOI: 10.1186/s12911-017-0489-2
Source DB: PubMed Journal: BMC Med Inform Decis Mak ISSN: 1472-6947 Impact factor: 2.796
Fig. 1Participation diagram
Socio-demographic data of the physicians included in the study
| Variable | Frequency (percentage) |
|---|---|
| N total | 760 (100%) |
| Age | |
| Under 40 | 285 (38%) |
| 41–50 | 163 (21%) |
| Over 50 | 312 (41%) |
| Sex | |
| Male | 355 (47%) |
| Female | 405 (53%) |
| Residence | |
| Barcelona area | 444 (58%) |
| Other | 316 (42%) |
| Specialty | |
| Primary | 348 (46%) |
| Hospital: | |
| Medical | 240(32%) |
| Surgical | 104 (14%) |
| Central support services | 68 (9%) |
| Sector | |
| Public | 425 (56%) |
| Private | 142 (19%) |
| Both | 188 (25%) |
| Place of work | |
| Primary health centre | 312 (41%) |
| Level 3 hospital | 169 (22%) |
| Level 1–2 hospital | 112 (15%) |
| Private practice | 112 (15%) |
| Healthcare centre | 25 (3%) |
| Other | 30 (4%) |
| Position | |
| Medical staff | 697 (92%) |
| Management | 61 (8%) |
Factors that influence the usefulness of TM
| Opportunities –benefits | Needs | Difficulties | ||||
|---|---|---|---|---|---|---|
| Item | Average score ± SD | Item | Average score ± SD | Item | Average score ± SD | |
| Has experience with TM | Has not experience with TM | |||||
| Frequency of in-person visits | 6.5 ± 2.0 | 6.2 ± 1.9 | Patients’ preference for in-person visits | 6.5 ± 2.1 | Safety and confidentiality of information | 5.7 ± 2.3 |
| Administrative work | 6.4 ± 2.1 | 6.3 ± 2.2 | Professionals’ preference for in-person visits | 6.4 ± 2.0 | Ease-of-use of electronic devices | 6.9 ± 1.9 |
| Therapeutic compliance* | 7.0 ± 1.8 | 6.5 ± 1.8 | Patients’ technological skills | 6.7 ± 1.9 | Record of profesionals’ performance | 6.8 ± 2.0 |
| Healthcare costs | 6.7 ± 1.7 | 6.5 ± 1.8 | Professionals’ technological skills | 6.9 ± 1.9 | Needfor training | 7.1 ± 1.9 |
| Quality of clinical practice* | 6.9 ± 1.9 | 6.4 ± 1.9 | Appropiate electronic device | 7.6 ± 2.0 | Technical difficulties in the use of TM | 6.3 ± 2.0 |
| Patient health* | 7. 0 ± 1.7 | 6.4 ± 1.6 | Project funding | 7.8 ± 2.0 | Time needed for electronic visits | 6.4 ± 2.1 |
| Professional workload | 6.1 ± 2.1 | 6.1 ± 2.1 | Time needed for each patient | 6.2 ± 2.0 | Presence of incentives for TM | 6.2 ± 2.3 |
| Sum of opportunities* | 6.6 ± 1.2 | 6.3 ± 1.3 | Sum of needs | 6.9 ± 1.2 | Sum of difficulties | 6.5 ± 1.2 |
Variables are scored on a scale of 1–10 (from least to greatest)
*p < 0.05 difference between having or not having previous experience in TM project using the T-student test
Multivariate model. Factors that influence the usefulness of telemedicine, adjusted for age. R2 = 0.41%
| Variable | B(CI 95%) |
|
|---|---|---|
| -Experience with telemedicine | 0.53(0.32–0.76) | <0.001 |
Use of the Internet according to the devices available
| PC ( | Smartphone ( | Tablet ( | |
|---|---|---|---|
| Private Internet use | |||
| Email ( | 754 (99%) | 706 (99%) | 364 (99%) |
| Personal webpage ( | 91 (12%) | 88 (12%) | 58 (16%) |
| Personal blog ( | 57 (8%) | 56 (8%) | 41 (11%) |
| Use of non-medical apps ( | 685 (91%) | 663 (94%) | 343 (94%) |
| Use of medical apps ( | 452 (60%) | 424 (60%) | 216 (60%) |
| Social networksa ( | 465 (61%) | 450 (64%) | 267 (73%) |
| - Facebooka ( | 424 (60%) | 412 (58%) | 242 (66%) |
| - Twittera ( | 220 (29%) | 215 (30%) | 139 (38%) |
| - Linkedina ( | 189 (25%) | 184 (26%) | 119 (33%) |
| - Instagrama ( | 115 (15%) | 115 (16%) | 75 (21%) |
| Internet use in the workplace | |||
| Internet use in the workplace ( | 741 (98%) | 694 (98%) | 357 (98%) |
| Communication with professionals ( | 694 (92%) | 650 (92%) | 336 (92%) |
| Communication with patients ( | 346 (46%) | 331 (47%) | 184 (51%) |
| Recommendation of healthcare websites ( | 383 (51%) | 363 (51%) | 194 (53%) |
| Recommendation of medical apps ( | 99 (13%) | 97 (14%) | 51 (14%) |
| Patients consult healthcare websites ( | 329 (44%) | 313 (44%) | 158 (43%) |
a p < 0.05 differences between users that use the Internet with a PC or smartphone versus a tablet using the Chi-squared test
Importance of the Internet according to profesional uses of it
| Perception of the importance of the Internet in the workplace | Yes | No | |
|---|---|---|---|
| Use of the Internet in the workplacea | 8.2 ± 1.7 ( | 5.5 ± 2.9 ( | |
| Use of the Internet to communicate with other professionalsa | 8.3 ± 1.7 ( | 7.1 ± 2.4 ( | |
| Use of the Internet to communicate with patientsa | 8.5 ± 1.6 ( | 7.9 ± 1.9 ( | |
| Recommendation of health webpages to patientsa | 8.4 ± 1.6 ( | 8.0 ± 1.9 ( | |
| Recommendation of medical apps to patients | 8.4 ± 1.6 ( | 8.1 ± 1.8 ( | |
| Patients’ questions on health information they have found online | 8.2 ± 1.8 ( | 8.1 ± 1.7 ( | |
| Experience with telemedicinea | 8.4 ± 1.6 ( | 8.1 ± 1.8 ( | |
| Importance of the Internet in the workplace | Total | ||
Variables are scored on a scale of 1–10 (from least to greatest)
a p < 0.05 differences between physicians using the Internet in different situations and physicians not using it using the T-Student Test
Internet use in the workplace according to sector
| Internet use in the workplace | |||
|---|---|---|---|
| Public ( | Private ( | Both ( | |
| Internet use in the workplace ( | 417 (98%) | 138 (97%) | 183 (97%) |
| Communication with professionalsa ( | 398 (94%) | 123 (87%) | 169 (90%) |
| Communication with patientsa ( | 186 (44%) | 78 (55%) | 79 (42%) |
| Recommendation of health websitesa ( | 235 (55%) | 65 (46%) | 82 (44%) |
| Recommendation of medical apps ( | 50 (12%) | 22 (16%) | 27 (14%) |
| Patients consult health websites ( | 195 (46%) | 54 (38%) | 81 (43%) |
ªp < 0.05 difference between professionals working in public and private health according to the Chi-square test