| Literature DB >> 27780350 |
Wirachin Hoonpongsimanont1, Miriam Kulkarni2, Pedro Tomas-Domingo1, Craig Anderson1, Denise McCormack2, Khoa Tu3, Bharath Chakravarthy1, Shahram Lotfipour1.
Abstract
We evaluated the effectiveness of text messaging versus email, as a delivery method to enhance knowledge retention of emergency medicine (EM) content in EM residents. We performed a multi-centered, prospective, randomized study consisting of postgraduate year (PGY) 1 to PGY 3 & 4 residents in three United States EM residency programs in 2014. Fifty eight residents were randomized into one delivery group: text message or email. Participants completed a 40 question pre- and post-intervention exam. Primary outcomes were the means of pre- and post-intervention exam score differences. Data were analyzed using descriptive statistics, paired t-test, and multiple linear regressions. No significant difference was found between the primary outcomes of the two groups (P=0.51). PGY 2 status had a significant negative effect (P=0.01) on predicted exam score difference. Neither delivery method enhanced resident knowledge retention. Further research on implementation of mobile technology in residency education is required.Entities:
Keywords: Electronic mail; Emergency medicine; Internship and residency; Text messaging; United States
Mesh:
Year: 2016 PMID: 27780350 PMCID: PMC5121189 DOI: 10.3352/jeehp.2016.13.36
Source DB: PubMed Journal: J Educ Eval Health Prof ISSN: 1975-5937
Emergency medicine resident demographics
| Characteristic | Intervention group | Total no. (%) | |
|---|---|---|---|
| Text no.(%) | Email no. (%) | ||
| Overall | 28 (48.3) | 30 (51.7) | 58 (100.0) |
| Gender | |||
| Male | 17 (41.5) | 24 (58.5) | 41 (100.0) |
| Female | 11 (64.7) | 6 (35.3) | 17 (100.0) |
| Postgraduate year | |||
| 1 | 7 (43.7) | 9 (56.3) | 16 (100.0) |
| 2 | 7 (43.7) | 9 (56.3) | 16 (100.0) |
| 3 & 4 | 14 (53.8) | 12 (46.2) | 26 (100.0) |
Comparing means of pre- and post-intervention exam score difference between intervention groups (using paired t-test analysis)
| Characteristic | Intervention group | P-value | |
|---|---|---|---|
| Text mean (95% CI) | Email mean (95% CI) | ||
| Overall | -1.82 (-6.41 to 2.76) | -3.77 (-7.72 to 0.19) | 0.51 |
| Gender | |||
| Male | -3.44 (-9.84 to 2.95) | -3.15 (-7.33 to 1.04) | 0.93 |
| Female | 0.68 (-6.64 to 8.01) | -6.25 (-20.69 to 8.19) | 0.27 |
| Postgraduate year | |||
| 1 | -0.29 (-17.34 to 16.77) | -1.94 (-6.75 to 2.86) | 0.80 |
| 2 | -3.50 (-13.41 to 6.31) | -10.33 (-15.16 to -5.51) | 0.13 |
| 3 & 4 | -1.75 (-6.88 to 3.38) | -0.21 (-8.88 to 8.47) | 0.73 |
CI, confidence interval.
Multiple linear regression of exam score difference by gender and intervention group
| Variable | Coefficient | Standard error | 95% Confidence interval | P-value |
|---|---|---|---|---|
| Female | 1.1 | 3.33 | -5.58 to 7.77 | 0.74 |
| Text | 1.73 | 3.03 | -4.35 to 7.81 | 0.57 |
Predicted exam score difference=-3.99+(1.10×female)+(1.73×text).
Multiple linear regression of exam score difference by PGY and intervention group
| Variable | Coefficient | Standard error | 95% Confidence interval | P-value |
|---|---|---|---|---|
| PGY 1 | -1.94 | 3.04 | -8.04 to 4.17 | 0.53 |
| PGY 2 | -8.06 | 3.04 | -14.16 to -1.96 | 0.01 |
| PGY 3 & 4 | -1.92 | 2.68 | -7.29 to 3.45 | 0.48 |
| Text | 1.64 | 2.92 | -4.21 to 7.49 | 0.56 |
Predicted exam score difference=(-1.94×PGY 1)-(8.06×PGY 2)-(1.92×PGY 3 & 4)+(1.64×text).
PGY, postgraduate year.