Secondary research questions
REGRESSION, REGRESSIONS
To measure the alignment between GPs’ risk assessments and prescribing decisions — and to compare this across risk-response modes — immediate prescriptions were classified as either ‘consistent’ or ‘inconsistent’ with the GP’s risk assessment. As prescribing was not the only management option available to GPs, each case was also classified as ‘appropriately’ or ‘inappropriately’ managed, relative to the GP’s risk assessment. (For full details of these classification systems see protocol: To measure GPs’ alignment with STARWAVe — and compare this across risk-response modes — risk assessments, immediate prescriptions, and broader management decisions were each classified as either ‘consistent’ or ‘inconsistent’ with STARWAVe (full details in protocol: To assess the impact of parental concern, only STARWAVe-identified level 1 cases (with and without parental concern) were selected and three mixed-effects, random-intercept regression models were built. First, risk assessments were regressed on parental concern (0 = absent and 1 = present), separately for those who used a sliding scale (linear model) versus category selection (ordinal logistic model). Thereafter, all prescribing decisions (0 = no/delayed prescription and 1 = immediate prescription) were regressed on parental concern (binary logistic model). Parental concern vignettes were not included in any other analyses.Analyses were performed using Stata/MP (version 17.0). Mixed-effects regressions were conducted using the ‘mixed’ (linear), ‘melogit’ (binary), and ‘meologit’ (ordinal) commands.