| Literature DB >> 27121179 |
Do-Hwan Kim1, Hyun Bae Yoon1, Dong-Mi Yoo2,3, Sang-Min Lee4, Hee-Yeon Jung5, Seog Ju Kim6,7, Jwa-Seop Shin1, Seunghee Lee1, Jae-Joon Yim8.
Abstract
BACKGROUND: Email is widely used as a means of communication between faculty members and students in medical education because of its practical and educational advantages. However, because of the distinctive nature of medical education, students' inappropriate email etiquette may adversely affect their learning as well as faculty members' perception of them. Little data on medical students' competency in professional email writing is available; therefore, this study explored the strengths and weaknesses of medical students' email etiquette and factors that contribute to professional email writing.Entities:
Keywords: Email writing; communication; email etiquette; graduate-entry program
Mesh:
Year: 2016 PMID: 27121179 PMCID: PMC4848876 DOI: 10.1186/s12909-016-0628-y
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Data collected on students and their emails
| Categories | Specific parameters | Possible entries / Point | ||
|---|---|---|---|---|
| General information (Student) | Course (at the time mailed) | PM, M | ||
| Gender | Male/Female | |||
| Year of birth | 4-digit # (YYYY) | |||
| Admission type | UEP, GEP | |||
| General information (Email) | Email date | 8-digit # (YYYYMMDD) | ||
| Email initiated by a student | Yes / Noa) | |||
| Email account provider | SNU email (@snu.ac.kr) | |||
| Non-SNU email (other than @snu.ac.kr) | ||||
| Email evaluation criteria | Subject line (Q1, Q2) | Q1. Clarity and conciseness | Clear and concise description of the purpose | +2 |
| Irrelevant subject lineb) | +1 | |||
| No subject | 0 | |||
| Q2. Name of the subject | States the name of a curriculum subject | +1 (Checklist, add point) | ||
| Message body (Q3–Q8) | Q3. Salutation | Greetings and Dear Dr./Professor | +2 | |
| Greetings or Dear Dr./Professor | +1 | |||
| No salutation | 0 | |||
| Q4. Self-identification c), d) | Class level and SIN | +2 | ||
| Class level or SIN | +1 | |||
| None of the two | 0 | |||
| Q5. Readability | Having sufficient readability or comprehensibilitye), f) | +1 (Checklist, add point) | ||
| Q6. Use of honorifics | Using proper honorifics throughout the email d) | +1 (Checklist, add point) | ||
| Q7. Use of internet slang | Not using internet slang such as ungrammatical abbreviations or emoticonsd) | +1 (Checklist, add point) | ||
| Q8. Closing remarks | Including proper closing remarks | +1 (Checklist, add point) | ||
| Sign-off (Q9) | Name and complimentary closing | +2 | ||
| Name only | +1 | |||
| No signature or self-identification | 0 | |||
| Global impression of politeness (Q10) | 1 (very impolite) – 4 (very polite) | |||
a)“No” indicates that the email was sent in reply to the faculty members’ email; b) This includes the name of the sender, salutation, or greetings. c)These criteria can be skipped if an email is sent in reply to an email from a faculty; d)The subject line as well as the message body was subjected to evaluation; e)An email with “no message body” gets 0 points; f)Evaluate grammatical or spelling errors and whether paragraphs are separated properly
PM premedical course, M medical course, UEP undergraduate-entry program, GEP graduate-entry program, SNU Seoul National University
Descriptive statistics for emails and their senders
| Total sample (100 %, | |||
|---|---|---|---|
| Emails | Receiver (Professor) | A | 71.4 % (150) |
| B | 11.0 % (23) | ||
| C | 10.0 % (21) | ||
| D | 7.6 % (16) | ||
| Year of sending | 2012 | 18.6 % (39) | |
| 2013 | 40.0 % (84) | ||
| 2014 | 36.2 % (76) | ||
| 2015 | 5.2 % (11) | ||
| Place in a thread | Initiator | 90.0 % (189) | |
| Reply | 10.0 % (21) | ||
| Email account provider | SNU mail (@snu.ac.kr) | 30.0 % (63) | |
| Non-SNU (other than @snu.ac.kr) | 70.0 % (147) | ||
| Students | Age | Mean 23.06 years | |
| (SD 2.42; 18.3–30.8) | |||
| Gender | Male | 47.1 % (99) | |
| Female | 30.0 % (63) | ||
| Not identifiable | 22.9 % (48) | ||
| Course (point of sending) | Premedical | 17.6 % (37) | |
| Medical | 82.4 % (173) | ||
| Admission type | UEP | 38.2 % a) (66) | |
| GEP | 34.1 % a) (59) | ||
| Not identifiable | 22.7 % a) (48) |
a)For admission type, each proportion was calculated by using the number of students who sent emails during their medical course (173) as a denominator
UEP undergraduate-entry program, GEP graduate-entry program, SNU Seoul National University
Email evaluation and intraclass correlation results
| Categories | Subject | Message body | Sign-off (Q9) | Global impression of politeness | Total Score | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| (Q1, Q2) | (Q3–Q8) | ||||||||||
| Clarity and conciseness | Subject name | Salutation | Self-identification | Readability | Honorifics | Internet slang | Closing remarks | ||||
| Maximum points | 2 | 1 | 2 | 2 | 1 | 1 | 1 | 1 | 2 | 4 | 100 |
| Average | 1.46 | 0.5 | 1.22 | 0.63 | 0.94 | 0.94 | 0.67 | 0.76 | 0.95 | 2.6 | 62.21 |
| SD | 0.48 | 0.48 | 0.91 | 0.5 | 0.18 | 0.18 | 0.45 | 0.4 | 0.97 | 0.8 | 17.55 |
| Intraclass correlation | 0.875 | 0.889 | 0.976 | 0.834 | 0.430 | 0.387 | 0.862 | 0.793 | 0.956 | 0.707 | 0.935 |
Correlations between global impression of politeness, total score, and each criteria
| Variable | Subject | Message body | Sign-off | Total Score | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| (Q1, Q2) | (Q3–Q8) | (Q9) | |||||||||
| Clarity and conciseness | Subject name | Salutation | Self-identification | Readability | Honorifics | Internet slang | Closing remarks | ||||
| Global impression of politeness | Correlation | −0.083 | −0.005 | 0.668 | 0.297 | 0.167 | 0.325 | 0.148 | 0.653 | 0.646 | 0.833 |
|
| 0.258 | 0.943 | <0.001 | <0.001 | 0.016 | <0.001 | 0.033 | <0.001 | <0.001 | <0.001 | |
| Total score | Correlation | 0.197 | 0.185 | 0.650 | 0.441 | 0.159 | 0.275 | 0.325 | 0.481 | 0.703 | n.a. |
|
| 0.007 | 0.013 | <0.001 | <0.001 | 0.022 | <0.001 | <0.001 | <0.001 | <0.001 | ||
a)Pearson correlation
n.a. not available
The influence of various factors on email etiquette (univariate analysis)
| Variable | Subject | Message body | Sign-off (Q9) | Global impression of politeness (Q10) | Total score | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| (Q1, Q2) | (Q3–Q8) | |||||||||||
| Clarity and conciseness | Subject name | Salutation | Self-identification | Readability | Honorifics | Internet slang | Closing remarks | |||||
| Age at sending ( | Correlationa) | 0.061 | 0.043 | 0.034 | −0.063 | 0.202* | −0.080 | −0.050 | 0.158 | 0.321 | 0.228 | 0.206 |
|
| 0.469 | 0.626 | 0.664 | 0.449 | 0.010 | 0.316 | 0.531 | 0.045 | <0.001 | 0.003 | 0.009 | |
| Gender ( | Male (87)b) | 1.51 ± 0.48 | 0.53 ± 0.48 | 1.1 ± 0.95 | 0.71 ± 0.5 | 0.95 ± 0.17 | 0.96 ± 0.13 | 0.8 ± 0.38 | 0.71 ± 0.42 | 0.85 ± 0.98 | 2.57 ± 0.84 | 62.59 ± 17.2 |
| Female (53)b) | 1.54 ± 0.49 | 0.52 ± 0.48 | 1.38 ± 0.85 | 0.59 ± 0.52 | 0.94 ± 0.19 | 0.91 ± 0.23 | 0.54 ± 0.48 | 0.78 ± 0.37 | 0.97 ± 0.96 | 2.6 ± 0.78 | 63.21 ± 18.51 | |
|
| 0.742 | 0.936 | 0.057 | 0.158 | 0.891 | 0.099 | 0.001 | 0.330 | 0.438 | 0.775 | 0.829 | |
| Current course ( | Premedical (37)b) | 1.61 ± 0.45 | 0.45 ± 0.49 | 1.19 ± 0.97 | 0.82 ± 0.49 | 0.87 ± 0.26 | 0.97 ± 0.12 | 0.7 ± 0.43 | 0.63 ± 0.43 | 0.41 ± 0.79 | 2.31 ± 0.77 | 57.16 ± 20.35 |
| Medical (173)b) | 1.43 ± 0.48 | 0.51 ± 0.48 | 1.23 ± 0.9 | 0.59 ± 0.5 | 0.96 ± 0.16 | 0.93 ± 0.19 | 0.67 ± 0.45 | 0.78 ± 0.39 | 1.06 ± 0.97 | 2.66 ± 0.8 | 63.3 ± 16.76 | |
|
| 0.062 | 0.563 | 0.818 | 0.023 | 0.051 | 0.118 | 0.670 | 0.036 | <0.001 | 0.013 | 0.053 | |
| Admission type ( | UEP (66)b) | 1.47 ± 0.49 | 0.52 ± 0.49 | 1.04 ± 0.94 | 0.59 ± 0.5 | 0.95 ± 0.15 | 0.9 ± 0.23 | 0.77 ± 0.4 | 0.69 ± 0.44 | 0.78 ± 0.94 | 2.37 ± 0.78 | 59.61 ± 15.3 |
| GEP (59)b) | 1.53 ± 0.48 | 0.59 ± 0.46 | 1.42 ± 0.84 | 0.67 ± 0.51 | 0.98 ± 0.12 | 0.97 ± 0.11 | 0.61 ± 0.47 | 0.86 ± 0.3 | 1.34 ± 0.93 | 2.99 ± 0.71 | 69.99 ± 16.2 | |
|
| 0.563 | 0.452 | 0.016 | 0.404 | 0.366 | 0.026 | 0.048 | 0.009 | 0.001 | <0.001 | <0.001 | |
a)Pearson correlation; b)Mean ± SD c)independent sample t-test
UEP undergraduate-entry program, GEP graduate-entry program
Influence of various characteristics of emails and senders on email etiquette (multiple regression)
| Variable | Unstandardized coefficient | Standardized coefficient |
|
| ||
|---|---|---|---|---|---|---|
| B | Standard error | β | ||||
| Global impression of politeness | (Constant) | 3.042 | 0.907 | 3.352 | 0.001 | |
| Current class (Medical) | 0.160 | 0.203 | 0.083 | 0.789 | 0.431 | |
| Initiator | 0.090 | 0.182 | 0.037 | 0.493 | 0.623 | |
| Email provider (SNU email) | 0.033 | 0.140 | 0.019 | 0.237 | 0.813 | |
| Gender (Female) | −0.072 | 0.126 | −0.043 | −0.571 | 0.569 | |
| Graduate-entry program | 0.723 | 0.176 | 0.430 | 4.112 | <0.001 | |
| Age at sending the email | −0.036 | 0.044 | −0.108 | −0.824 | 0.411 | |
| Total score | (Constant) | 66.961 | 20.353 | 3.290 | 0.001 | |
| Current class (Medical) | 3.494 | 4.549 | 0.083 | 0.768 | 0.444 | |
| Initiator | 2.313 | 4.091 | 0.044 | 0.565 | 0.573 | |
| Email provider (SNU email) | 0.117 | 3.130 | 0.003 | 0.038 | 0.970 | |
| Gender (Female) | −1.229 | 2.821 | −0.034 | −0.436 | 0.664 | |
| Graduate-entry program | 11.983 | 3.941 | 0.327 | 3.040 | 0.003 | |
| Age at sending the email | −0.500 | 0.988 | −0.069 | −0.506 | 0.613 | |