| Literature DB >> 32962725 |
Farimah HakemZadeh1, Elena Neiterman2, James Chowhan3, Jennifer Plenderleith4, Johanna Geraci5, Isik Zeytinoglu4, Derek Lobb6.
Abstract
BACKGROUND: Midwifery students' intention to stay in the profession can be influenced by how the interface of their work and personal life is affected by their clinical placement experience. The purpose of this study is to compare the intention to stay in the midwifery profession and its association with three work/personal life interface constructs among pre- and post-clinical placement midwifery students in Canada. The constructs investigated are work interference with personal life, personal life interference with work, and work/personal life enhancement.Entities:
Keywords: Intention to stay in the profession; Midwifery; Work/life balance; Work/life conflict; Work/life enhancement
Year: 2020 PMID: 32962725 PMCID: PMC7510103 DOI: 10.1186/s12960-020-00509-4
Source DB: PubMed Journal: Hum Resour Health ISSN: 1478-4491
List of active midwifery education programmes in Canada
| School | Degree | Language | Number of accepted students per year |
|---|---|---|---|
| Mount Royal University | Bachelor of Midwifery | English | 12 |
| University of British Columbia | Bachelor of Midwifery | English | 20 |
| Laurentian University | Bachelor of Health Sciences | English and French | 30 |
| McMaster University | Bachelor of Health Sciences | English | 30 |
| Ryerson University | Bachelor of Health Sciences | English | 30 |
| Université du Québec à Trois-Rivières | Bachelor of Science | French | 24 |
Correlations between variables and intention to stay
| Mean | St. Dev. | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1. Intention to stay | 4.54 | 0.61 | ||||||||||
| 2. Work interference with personal life | 3.77 | 0.87 | − 0.32*** | |||||||||
| 3. Personal life interference with work | 2.40 | 0.82 | − 0.14*** | 0.27*** | ||||||||
| 4. Work-personal life enhancement | 3.04 | 0.69 | 0.18*** | − 0.51*** | − 0.30*** | |||||||
| 5. Age (29 plus)a | 0.46 | 0.50 | − 0.12** | 0.24*** | 0.14*** | − 0.03 | ||||||
| 6. Prior education (undergrad or greater)a | 0.59 | 0.49 | − 0.13*** | − 0.09** | − 0.08* | 0.14*** | 0.18*** | |||||
| 7. Previous careera | 0.49 | 0.50 | − 0.04 | 0.23*** | 0.07 | 0.00 | 0.55*** | 0.14*** | ||||
| 8. Has childrena | 0.36 | 0.48 | − 0.07 | 0.19*** | 0.26*** | − 0.01 | 0.59*** | 0.05 | 0.44*** | |||
| 9. Married or living with a partner, or common-lawa | 0.53 | 0.50 | − 0.10** | 0.12*** | 0.03 | 0.06 | 0.42*** | 0.16*** | 0.34*** | 0.43*** | ||
| 10. Post-clinical placementa | 0.50 | 0.50 | − 0.21*** | 0.35*** | − 0.04 | − 0.15*** | 0.10** | 0.01 | 0.01 | 0.03 | 0.01 |
Cronbach’s alphas are presented in italic font. n = 456
*p < .10
**p < .05
***p < .01
aThese variables are binary variables, and as such, their means indicate the percentage of participants with a value equal to 1, where the reference categories of zero are presented in detail in Table 3. For the age variable, we coded 18 to 28 as 0 and 29+ as 1. For prior education, we assumed that having the choice of another career due to having a previous degree might have an impact on how intention to stay in the profession may vary between individuals. Therefore, a completed undergraduate or graduate degree was coded as 1 and all others were coded as 0
Demographic characteristics of participants and coding of binary variables
| Demographic characteristic | Full sample ( | Pre-clinical placement ( | Post-clinical placement |
|---|---|---|---|
| Age | |||
| 18–22 | 11.4 (8.5–14.3) | 14.5 (9.9–19.1) | 8.3 (4.7–11.9) |
| 23–28 | 42.5 (38–47.1) | 44.3 (37.8–50.8) | 40.8 (34.4–47.2) |
| 29–34 | 22.1 (18.3–26) | 21.5 (16.1–26.9) | 22.8 (17.3–28.3) |
| 35–44 | 19.3 (15.7–22.9) | 16.7 (11.8–21.5) | 21.9 (16.5–27.3) |
| 45+ | 4.6 (2.7–6.5) | 3.1 (0.8–5.3) | 6.1 (3–9.3) |
| Prior education | |||
| None | 6.1 (3.9–8.4) | 5.7 (2.7–8.7) | 6.6 (3.3–9.8) |
| Some undergraduate courses | 21.1 (17.3–24.8) | 22.4 (16.9–27.8) | 19.7 (14.5–24.9) |
| College | 13.4 (10.2–16.5) | 13.2 (8.7–17.6) | 13.6 (9.1–18.1) |
| Undergraduate degree | 46.9 (42.3–51.5) | 46.1 (39.5–52.6) | 47.8 (41.3–54.3) |
| Graduate education | 12.5 (9.5–15.5) | 12.7 (8.4–17.1) | 12.3 (8–16.6) |
| Previous career | |||
| No | 50.9 | ||
| Yes | 49.1 (44.5–53.7) | 48.7 (42.1–55.2) | 49.6 (43–56.1) |
| Has children | |||
| No | 64.0 | ||
| Yes | 36 (31.5–40.4) | 34.6 (28.4–40.9) | 37.3 (31–43.6) |
| Marital status | |||
| Married or living with a partner/common-law | 53.3 (48.7–57.9) | 52.6 (46.1–59.2) | 53.9 (47.4–60.5) |
| Single | 34.6 (30.3–39) | 35.1 (28.8–41.3) | 34.2 (28–40.4) |
| Divorced/separated/widowed | 4.2 (2.3–6) | 4.8 (2–7.6) | 3.5 (1.1–5.9) |
| Other | 7.9 (5.4–10.4) | 7.5 (4–10.9) | 8.3 (4.7–11.9) |
Standardized regression coefficient models (ordinary least squares technique)
| Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|
| Coef. | Std. Err. | Coef. | Std. Err. | Coef. | Std. Err. | |
| Dependent variable | ||||||
| Intention to stay | ||||||
| Independent variables | ||||||
| Work interference with personal life (WIPL) | − 0.27*** | 0.06 | − 0.06 | 0.08 | ||
| Personal life interference with work (PLIW) | − 0.08* | 0.05 | − 0.15** | 0.07 | ||
| Work/personal life enhancement (WPLE) | − 0.03 | 0.05 | 0.08 | 0.08 | ||
| WIPL × post-clinical placement | − 0.42*** | 0.11 | ||||
| PLIW × post-clinical placement | 0.13 | 0.10 | ||||
| WPLE × post-clinical placement | − 0.09 | 0.11 | ||||
| Control variables | ||||||
| Age (29 plus) | − 0.14 | 0.13 | − 0.07 | 0.12 | − 0.29 | 0.18 |
| Education (undergrad or greater) | − 0.23** | 0.95 | − 0.33*** | 0.09 | − 0.10 | 0.13 |
| Previous career | 0.08 | 0.11 | 0.16 | 0.11 | 0.14 | 0.15 |
| Has children | − 0.01 | 0.12 | 0.07 | 0.12 | 0.17 | 0.18 |
| Marital status (being married, living with a partner, or in a common law relationship) | − 0.12 | 0.10 | − 0.13 | 0.10 | − 0.04 | 0.14 |
| Post-clinical placement | − 0.40*** | 0.09 | − 0.21** | 0.09 | − 0.03 | 0.17 |
| Age × post-clinical placement | 0.50** | 0.25 | ||||
| Education × post-clinical placement | − 0.40** | 0.18 | ||||
| Previous career × post-clinical placement | − 0.08 | 0.22 | ||||
| Children × post-clinical placement | − 0.14 | 0.24 | ||||
| Marital status × post-clinical placement | − 0.17 | 0.20 | ||||
| Constant | 0.43*** | 0.10 | 0.30*** | 0.10 | 0.25** | 0.12 |
| 5.55*** | 8.97*** | 6.19 | ||||
| Adjusted | 0.06 | 0.14 | 0.16 | |||
n = 456
*p < .1
**p < .05
***p < .01
Fig. 1Margin analysis graphs
| Site | REB Protocol # | Renewal date |
| Laurentian | 6008466 (formerly 2016-06-05) | 30 May 2020 |
| McMaster University | 1737 | 19 Apr 2020 |
| Ryerson University | REB 2016-211 | 29 Jun 2020 |
| Mount Royal University | 2016-47 | 19 Apr 2020 |
| University of Manitoba | E2016:061 | 12 May 2020 |
| University British Columbia | H16-01380 | 01 Apr 2020 |
| L’Université du Québec à Trois-Rivières | CER-17-233-10.01 | 16 Feb 2020 |
| University of Waterloo | ORE #: 21613 | 17 Aug 2020 |
| York University | 2019-353 | 03 Oct 2020 |