To address this, we will include random effects in the model for clinic site, PCP, and HP.
Despite supportive evidence for the accuracy of the predictive model for clinic catchments presented both previously [ 28, 40] and here, and despite predicted high levels of clinic attendance outside of residency location, standardising estimates by age and clinic catchment did little to reduce differences between the two sources of prevalence estimates.
In addition, the multifactorial assessment and intervention model utilized in both countries closely follows previously recommended models for falls clinics.
We did not measure knowledge about pain among either nursing or medical staff nor seek input from pain specialist staff, although we suspect the latter to be minimal, indicating an access issue which we plan to explore in future studies of service models for pain clinics in RACF.
Hazard ratios (HRs) and 95% CIs from Cox proportional hazard models adjusting for clinic were compared between the two treatment groups using PROC PHREG.
Linear mixed longitudinal models controlling for clinic (the randomization stratification variable) were constructed using PROC MIXED to test the overall significance of treatment on these mean scores over time.
According to the estimation model for village clinics, sex and three age categories were significant.
We used MedModel [ 35], a discrete-event simulation software, to develop the simulation model for the clinic.
Both logistic regression and linear mixed-effects models were adjusted for clinic site, baseline depression severity (PHQ-9 score <15 vs. ≥15) and dysthymia, birth place, language, and years in the U.S. (<10 vs. ≥10).
When models were adjusted for clinic, photon field, beam energy, boost method, BMI, smoking status, alcohol consumption, and hormone therapy (Table 2), there was more than a twofold increase in hazard of toxicity among women with GSTP1 GG genotypes (adjusted hazard ratio 2.28, 95% confidence interval 1.04 4.99), in comparison with women with common AA genotypes.
