| Literature DB >> 27855773 |
Nisrine N Makarem1, Jumana Antoun2.
Abstract
BACKGROUND: Email communication between physicians and patients could improve access to and delivery of health care. Most of the literature studies about email communication between physicians and patients have been conducted in developing countries. Therefore, this study aims to analyze the practices, attitudes, and barriers of both physicians' and patients' use of email within the same health care setting of a developing country.Entities:
Keywords: email; family medicine; health care; internet; patient–physician communication
Mesh:
Year: 2016 PMID: 27855773 PMCID: PMC5114432 DOI: 10.3402/ljm.v11.32679
Source DB: PubMed Journal: Libyan J Med ISSN: 1819-6357 Impact factor: 1.657
Patients’ demographics by email use status
| Characteristic | All participants ( | Communicate with physicians ( | Do not communicate or do not have email ( | |
|---|---|---|---|---|
| Age (mean±SD) | 37.8 (14.6) | 37.8 (13.6) | 37.43 (14.5) | |
| Email user | 365 (75.9) | |||
| Sex | 0.511 | |||
| Female | 288 (58.2) | 56 (58.3) | 217 (58.8) | |
| Male | 207 (41.8) | 40 (41.7) | 152 (41.2) | |
| Educational level | 0.468 | |||
| Primary | 27 (5.7) | 7 (7.5) | 17 (14.8) | |
| Secondary | 103 (21.8) | 16 (17.2) | 79 (22.3) | |
| University | 253 (53.6) | 49 (52.7) | 192 (54.2) | |
| Postgraduate | 89 (18.9) | 21 (22.6) | 66 (18.6) | |
| Chronic illness | ||||
| Yes | 108 (23.5) | 23 (25.6) | 77 (22.3) | 0.573 |
| No | 351 (76.5) | 67 (74.4) | 269 (77.7) | |
| Frequency of annual visits | ||||
| 0–1 visit | 118 (28.2) | 27 (31.0) | 91 (27.4) | 0.703 |
| 2–4 visits | 192 (45.8) | 41 (47.1) | 151 (45.5) | |
| 5–6 visits | 68 (16.2) | 13 (14.9) | 55 (16.6) | |
| >6 visits | 41 (9.8) | 6 (6.9) | 35 (10.5) | |
| Internet access | ||||
| No access | 53 (11.7) | 5 (5.3) | 47 (13.7) | |
| 1 site | 150 (33.2) | 37 (38.9) | 112(32.7) | |
| 2 sites | 137 (30.3) | 23 (24.2) | 105 (30.6) | |
| 3 sites | 112 (24.8) | 30 (31.6) | 79 (23.0) | |
| Work | 257 (56.7) | 65 (68.4) | 182 (52.9) | |
| Home | 309 (68.4) | 66 (69.5) | 233 (67.9) | 0.805 |
| Phone | 194 (42.9) | 42 (44.2) | 144 (42.0) | 0.726 |
| <0.5 h | 64 (16.6) | 12 (13.8) | 52 (17.4) | 0.123 |
| 0.5–1 h | 76 (19.7) | 18 (20.7) | 58 (19.4) | |
| >1–2 h | 96 (24.9) | 15 (17.2) | 81 (27.1) | |
| >2 h | 150 (38.9) | 42 (48.3) | 108 (36.1) |
Numbers do not sum to 500 because of missing values.
Fisher’s exact test.
Pearson’s chi-square test.
Significants of P value <0.05.
Predictive variables of patients who like to communicate with physicians through email
| Patients who like to communicate via email: | Patients who do not like to communicate via email: | Odds ratio (95% confidence interval) (relative to | |
|---|---|---|---|
| Number ( | Number ( | control group designated by | |
| All | 335 (71.0) | 134 (29.0) | |
|
| |||
| Sex | |||
| Female | 211 (63.0) | 65 (48.5) | |
| Male | 124 (37.0) | 69 (51.5) | 0.56 (0.30–1.10) |
|
| |||
| Age (years) | |||
| 18–25 | 94 (30.0) | 22 (18.5) | |
| 26–50 | 168 (53.7) | 62 (52.1) | 1.61 (0.78–3.36) |
| 51–65 | 51 (16.3) | 35 (29.4) | 2.40 (0.73–7.84) |
|
| |||
| Educational level | |||
| Primary | 15 (4.6) | 9 (7.4) | |
| Secondary | 51 (15.6) | 42 (34.7) | 1.50 (0.30–7.42) |
| University | 185 (56.6) | 58 (47.9) | 1.25 (0.30–5.38) |
| Postgraduate | 76 (23.2) | 12 (9.9) | 1.67 (0.34–8.13) |
|
| |||
| Chronic illness | |||
| No | 258 (79.5) | 82 (70.7) | |
| Yes | 66 (20.5) | 34 (29.3) | 1.06 (0.47–2.37) |
|
| 0.070 | ||
| Frequency of annual visits | |||
| 0–1 visit | 88 (28.9) | 28 (23.5) | |
| 2–4 visits | 152 (49.8) | 47 (39.5) | 1.15 (0.54–2.43) |
| 5–6 visits | 47 (15.4) | 19 (16.0) | 0.90 (0.34–2.39) |
| >6 visits | 18 (5.9) | 25 (21.0) | 0.43 (0.12–1.52) |
|
| |||
| Number of sites of internet access | |||
| No access | 20 (6.1) | 34 (30.1) | |
| 1 site | 105 (32.0) | 37 (32.7) | 0.82 (0.034–20.00) |
| 2 sites | 109 (33.2) | 26 (23.0) | 0.83 (0.03–20.82) |
| 3 sites | 94 (28.7) | 16 (14.2) | 1.02 (0.04–25.87) |
|
| |||
| Hours spent on Internet daily | |||
| Less than half an hour | 39 (12.7) | 24 (29.6) | |
| Half an hour–1 h | 61 (19.9) | 17 (21.0) | 2.85 (1.08–7.53) |
| >1–2 h | 77 (25.1) | 18 (22.2) | 2.86 (0.99–8.29) |
| >2 h | 130 (42.3) | 22 (27.2) | 3.42 (1.23–9.43) |
|
| |||
| Email use | |||
| No | |||
| Yes | 293 (88.8) | 63 (48.1) | 3.82 (1.43–10.21) |
|
|
Fischer’s exact test.
Significants of P value <0.05
stands for missing values.
Demographics of the family physicians (n=39)
| Characteristics | Number (%) |
|---|---|
| Sex | |
| Female | 20 (51.3) |
| Male | 19 (48.7) |
| Age (years) | |
| 25–35 | 23 (59.0) |
| 36–50 | 8 (20.5) |
| 51–65 | 8 (20.5) |
| Mean age (SD) | 37.0±11.0 |
| Daily email use | |
| <15 min | 8 (20.5) |
| >15–30 min | 16 (41.0) |
| >0.5–1 h | 9 (23.1) |
| >1 h | 6 (15.4) |
| Location of Internet access | |
| Home | 36 (92.3) |
| Work | 31 (79.5) |
| Phone | 16 (41.0) |
| 1 site | 8 (20.5) |
| 2 sites | 18 (46.2) |
| 3 sites | 13 (33.3) |
Physicians’ and patients’ attitudes toward usefulness of email communication among themselves and preferences for specific uses for the email communication
| Patients | Physicians | ||
|---|---|---|---|
| Finds email useful for communication | 358 (78.3) | 34 (87.2) | |
| Topic preference | |||
| Laboratory results | 219 (65.6) | 30 (88.2) | |
| For a medical question/advice | 234 (70.1) | 24 (70.6) | 0.608 |
| Follow up on a certain medical condition | 182 (54.5) | 22 (64.7) | 0.171 |
| Clarification of treatment plans | 144 (43.1) | 22 (64.7) | |
| Providing educational health material | 165 (49.4) | 18 (52.9) | 0.608 |
| Requesting prescription refills | 150 (44.9) | 10 (29.4) | |
| Urgent medical condition | 155 (46.4) | NA |
cPearson’s chi-square test.
Significants of P value <0.05.