output$tab_1_number_prescribed <- renderHighchart({
req(patients_filter())
req(patients_filter() %>% nrow() > 1)
dta <- patients_filter() %>%
group_by(patient_id, ipdopd) %>%
summarise(uni = n_distinct(antiname), .groups = "drop") %>%
mutate(uni = case_when(
uni == 1 ~ "1 Antimicrobial Agent",
uni == 2 ~ "2 Antimicrobial Agents",
uni >= 3 ~ "3+ Antimicrobial Agents"
)) %>%
group_by(ipdopd) %>%
count(uni) %>%
ungroup() %>%
complete(ipdopd, uni, fill = list(n = 0)) %>%
mutate(total_patients_prescribed = sum(n)) %>%
mutate(pct = round(100*n / total_patients_prescribed, 1))
hchart(dta, type = "column", hcaes(x = uni, y = pct, group = ipdopd)) %>%
hc_colors(as.vector(colors_ipd_opd)[c("Inpatient" %in% dta$ipdopd, "Outpatient" %in% dta$ipdopd)]) %>%
hc_tooltip(headerFormat = "", pointFormat = "{point.pct}% <br>({point.n} of {point.total_patients_prescribed} patients)") %>%
hc_yAxis(title = list(text = "% of Patients")) %>%
hc_xAxis(title = "")
})
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