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. 2019 Aug 1;28(2):82–90.

Table 2.

Factors associated with repeat visit within six months of index visit and factors associated with total number of repeat visits within the study period

Factors associated with repeat visit within 6 months of index visit Factors associated with the total number of repeat visits within the study period (February 2013 to December 2017)
Covariates Odds Ratioa [95% CI] p value Incidence Rate Ratiob [95% CI] p value
Age
 <10 years [reference] [reference]
 10–13 years 1.29 [0.95–1.75] 0.1 1.16 [1.0–1.33] 0.05
 14–17 years* 1.42 [1.07–1.89] 0.016 1.0 [0.87–1.15] 0.96
Female sex * 1.19 [1.03–1.38] 0.019 1.17 [1.09–1.26] <0.001
Risk assessment by psychiatry*** 1.63 [1.35–1.96] <0.001 1.11 [1.02–1.21] 0.017
Weekend presentation 0.9 [0.75–1.08] 0.253 0.98 [0.9–1.06] 0.587
Overnight presentation 0.84 [0.7–1.01] 0.063 1.03 [0.95–1.12] 0.465
Admission to hospital:
 None [reference] [reference]
 Mental health assessment unit 0.91 [0.74–1.12] 0.372 0.88 [0.78–0.99] 0.03
 Inpatient psychiatry *** 1.67 [1.3–2.14] <0.001 1.13 [1.01–1.26] 0.027
 Other inpatient unit 1.35 [0.98–1.86] 0.066 1.1 [0.94–1.29] 0.219
Anxiety diagnosisc* 0.76 [0.6–0.98] 0.035 0.98 [0.88–1.11] 0.798
Depression diagnosisc 1.15 [0.98–1.33] 0.081 0.99 [0.92–1.07] 0.844
Female sex*, Depression diagnosis* 1.3 [1.06–1.59] 0.011 1.3 [1.05–1.28] 0.003
Male sex*, Depression diagnosis 0.93 [0.73–1.19] 0.589 0.96 [0.85–1.09] 0.544
Study year d - - 0.92 [0.9–0.95] <0.001
***

p < 0.001,

**

p < 0.01,

*

p < 0.05

a

All participants are included in the logistic regression analysis (N = 4,976)

b

Participants with at least one repeat visit within the study period are included in this negative binomial regression analysis (n = .1,692)

c

All diagnosis variables were entered into the model individually, with covariates including age, sex, risk assessment by psychiatry, weekend presentation, overnight presentation, and location of admission to hospital. Results that do not approach statistical significance are not shown.

d

The negative binomial regression analysis was adjusted for study year and patient age to control for length of follow up.