. 2021 Feb 10;29(1):21–33. doi: 10.1111/ajr.12689

TABLE 5.

Multivariate regression for ‘At least one rural placement’ and ‘Cumulative days of rural placement’ for allied health students of both Universities, 2014‐2017

Variables Remaining in Final Models	Univariate Model			Multivariate Model ^c , ^d
Model 1. Binary logistic regression: ‘At least one rural placement’ (n = 600)	Odds ratio	Lower 95% CI	Upper 95% CI	Odds ratio	Lower 95% CI	Upper 95% CI
Location of home address at enrolment
Rural vs major cities ^a , ^b	4.88^*	2.62	9.10	4.57^*	2.36	8.87
Available placements over entire degree
Increase for each extra available or required placements	1.54^*	1.34	1.77	1.74^*	1.30	2.31

Model 2. Generalised linear regression ‘Cumulative days of rural placement’ (n = 600)	Rate ratio	Lower 95% CI	Upper 95% CI	Rate ratio	Lower 95% CI	Upper 95% CI
Location of home address at enrolment
Rural vs major cities ^a , ^b	1.40^*	1.23	1.58	1.25^*	1.12	1.40
University of attendance
University of Newcastle vs Monash University ^a	1.62^*	1.44	1.83	1.71^*	1.53	1.91
Placement experience weeks available over entire degree
‘More than 120 d’ vs ‘120 d or less’ ^a	1.60^*	1.43	1.79	1.72^*	1.55	1.91

^{^a}

Reference group.

^{^b}

ASGS‐RA 2016 Classifications: 1 = Major cities; 2‐5 = Rural.

^{^c}

Multivariate logistic regression model also adjusts for ‘Discipline’ (P < .001), ‘University’ (P = .183) and an interaction between ‘Discipline’ and ‘University’ (P = .003).

^{^d}

Zero‐inflated negative binomial regression. Results for negative binomial component of the model only. Location of ‘Home address at enrolment’ (P < .001), ‘Discipline’ (P < .001), ‘University of attendance’ (P = .010) and ‘Available placements over entire degree; (P = .001) remained significant in the final zero model.

P < .05.