| Literature DB >> 21447468 |
Nir Menachemi1, Charles T Prickett, Robert G Brooks.
Abstract
BACKGROUND: Improved communication from physician- patient emailing is an important element of patient centeredness. Physician-patient email use has been low; and previous data from Florida suggest that physicians who email with patients rarely implement best-practice guidelines designed to protect physicians and patients.Entities:
Mesh:
Year: 2011 PMID: 21447468 PMCID: PMC3221345 DOI: 10.2196/jmir.1578
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Demographic and practice characteristics of responding physicians
| 2008 Results | 2005 Results | |||
| Gender: male, n (%) | 1434 (70.4%) | 2479 (75.9%) | <.001 | |
| Mean (range) years in current community | 15.0 (<1-53) | 14.7 (<1-52) | .14 | |
| Mean (range) years since medical school graduation | 21.9 (<1-60) | 21.3 (<1-65) | .08 | |
| Family medicine | 575 (28.1%) | 756 (18.3%) | <.001 | |
| Internal medicine | 453 (22.2%) | 783 (18.9%) | ||
| Pediatrics | 306 (15.0%) | 602 (14.6%) | ||
| Obstetrics/gynecology | 205 (10.0%) | 454 (11.0%) | ||
| General surgery | 24 (1.2%) | 42 (1.0%) | ||
| Surgical specialty | 154 (7.5%) | 393 (9.5%) | ||
| Medical specialty | 184 (9.0%) | 709 (17.1%) | ||
| Other | 142 (6.9%) | 397 (9.6%) | ||
| Presence of Internet access | 1941 (95.5%) | 3824 (96.4%) | .07 | |
| High-speed access/wireless access | 1641 (90.2%) | 2857 (85.3%) | <.001 | |
| Dial-up connection only | 48 (2.6%) | 406 (12.1%) | <.001 | |
Physician’s self-reported email use with patients and other entities
| n (%) of Physicians | c2 | DFa | P-value | |||
| 2005 (n = 4148) | 2008 (n = 2001) | |||||
| Personally uses email with patients from office practice | 690 (16.6%) | 408 (20.4%) | 13.0 | 1 | <.001 | |
| .41 | ||||||
| Often | 120 (17.4%) | 59 (14.6%) | 1.8 | 2 | ||
| Occasionally | 255 (37.0%) | 161 (40.0%) | ||||
| Rarely | 314 (45.6%) | 183 (45.4%) | ||||
| Yes | 463 (13.4%) | 151 (10.1%) | 16.6 | 2 | <.001 | |
| No | 1823 (52.8%) | 869 (58.4%) | ||||
| Do not know yet | 1166 (33.8%) | 468 (31.5%) | ||||
| Uses email from office practice with entities other than patients | 2593 (63.0%) | 1272 (63.8%) | 0.30 | 1 | .59 | |
| Family member or caregiver of patients | 435 (16.8%) | 217 (17.2%) | 0.75 | 1 | .75 | |
| Other doctors | 1652 (63.8%) | 761 (60.2%) | 4.6 | 1 | .033 | |
| Business-related communications | 1298 (50.1%) | 664 (52.5%) | 1.9 | 1 | .17 | |
| Hospitals | 757 (29.2%) | 445 (35.3%) | 14.5 | 1 | <.001 | |
| Pharmaceutical companies | 531 (20.5%) | 304 (24.1%) | 6.4 | 1 | .012 | |
| Personal friends or family members | 1923 (74.2%) | 916 (72.5%) | 1.4 | 1 | .24 | |
| Other | 333 (12.9%) | 130 (10.4%) | 5.0 | 1 | .026 | |
a DF: degrees of freedom.
Figure 1Number and percentage of selected email guideline items being adhered to by physicians in Florida in 2005 and 2008
Physician’s self-reported adherence to recommended guideline items when emailing patients
| n (%) of Physicians | c2 | DFa | |||
| Nationally recommended policies | 2005 | 2008 | |||
| Print email communication and place inpatients’ charts | 331 (48.0) | 159 (39.0) | 8.4 | 1 | .004 |
| Inform patients about privacy issues with respect to email | 250 (36.3) | 119 (29.2) | 5.7 | 1 | .02 |
| When email messages become too lengthy, notify patients to come in to discuss or call them | 148 (21.5) | 64 (15.7) | 5.5 | 1 | .02 |
| Establish a turnaround time for messages | 111 (16.1) | 53 (13.0) | 1.9 | 1 | .16 |
| Request patients put their names or identification numbers in the body of the message | 111 (16.1) | 59 (14.5) | 0.5 | 1 | .75 |
| Send a new message to inform patient of completion of request | 11 (16.1) | 45 (11.0) | 5.4 | 1 | .02 |
| Establish types of transactions | 11 (16.0) | 64 (15.7) | 0.0 | 1 | .91 |
| Explain to patients that their message should be concise | 70 (10.2) | 31 (7.6) | 2.0 | 1 | .16 |
| Remind patients when they do not adhere to guidelines | 55 (8.0) | 30 (7.4) | 0.1 | 1 | .71 |
| Develop archival and retrieval mechanisms | 57 (8.3) | 32 (7.9) | 0.2 | 1 | .74 |
| Instruct patients to put category of transactions in subject line of message | 48 (7.0) | 21 (5.1) | 1.4 | 1 | .23 |
| Configure automatic reply to acknowledge receipt of patients’ messages | 42 (6.1) | 20 (4.9) | 0.7 | 1 | .41 |
| Request patients to use autoreply features to acknowledge clinician’s message | 28 (4.1) | 15 (3.7) | 0.1 | 1 | .47 |
a DF: degrees of freedom.
Predictors of email use with patients among physicians in Florida (n = 1766)
| Physicians who used email | Unadjusted odds ratio | Adjusted odds ratioa | ||
| Male | 274 (19.7%) | 1.00 | 1.00 | |
| Female | 130 (21.9%) | 1.14 (0.90-1.44) | 1.48 (1.12-1.95) | |
| Less than 40 years old | 78 (22.3%) | 1.00 | 1.00 | |
| 41-50 years | 133 (22.1%) | 0.99 (0.72-1.36) | 1.21 (0.85-1.71) | |
| 51-60 years | 131 (21.1%) | 0.93 (0.68-1.28) | 1.35 (0.94-1.94) | |
| 61 years or older | 62 (15.2%) | 0.63 (0.43-0.90) | 1.16 (0.76-1.79) | |
| Solo practice | 122 (18.0%) | 1.00 | 1.00 | |
| 2-9 physicians | 199 (19.9%) | 1.13 (0.88-1.46) | 0.93 (0.71-1.23) | |
| 10-49 physicians | 51 (29.7%) | 1.66 (1.14-2.41) | 0.98 (0.61-1.56) | |
| 50 or more physicians | 29 (35.8%) | 2.54 (1.55-4.16) | 1.29 (0.68-2.43) | |
| Primary care | 243(18.6%) | 1.00 | 1.00 | |
| Other | 162 (23.7%) | 1.36 (1.08-1.70) | 1.43 (1.12-1.84) | |
| Single specialty | 240 (17.5%) | 1.00 | 1.00 | |
| Multispecialty | 133 (28.7%) | 1.89 (1.48-2.41) | 1.76 (1.30-2.37) | |
| Very sophisticated | 74 (35.4%) | 1.00 | 1.00 | |
| Sophisticated | 172 (25.0%) | 0.61 (0.44-0.85) | 0.55 (0.38-0.79) | |
| Neutral | 137 (17.9%) | 0.40 (0.28-0.56) | 0.38 (0.26-0.55) | |
| Unsophisticated | 23 (8.4%) | 0.17 (0.10-0.28) | 0.14 (0.08-0.26) | |
| Very unsophisticated | 2 (4.9%) | 0.94 (0.22-0.40) | 0.10 (0.02-0.43) | |
a Adjusted odds ratios control for all variables in the table.