777 lines
27 KiB
R
777 lines
27 KiB
R
# Präambel ####
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AKZENT_FARBE = "#8B2635"
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PFAD_DOWNLOAD_SKRIPT = "../API/get_data_pg13r.R"
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PFAD_PSEUDONYM_SKRIPT = "../get_pseudo.R"
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PG13R_DISCLAIMER = paste0(
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"Dies ist eine algorithmische Einordnung auf Basis des Selbstauskunfts-Screenings, ",
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"kein automatisiertes klinisches Urteil und kein Ersatz fuer eine klinische ",
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"Einschaetzung im Einzelfall."
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)
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# Verlauf gruen -> dunkelrot entspricht den 5 Antwortstufen 0-4.
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PG13R_BADGE_FARBEN = c(
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"0" = "#4CAF50",
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"1" = "#F48FB1",
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"2" = "#EF5350",
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"3" = "#B71C1C",
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"4" = "#4A0000"
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)
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PG13R_BADGE_TEXT_FARBEN = c(
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"0" = "white",
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"1" = "#333333",
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"2" = "white",
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"3" = "white",
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"4" = "white"
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)
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PG13R_KAT_WORD_FARBEN = list(
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"1" = list(bg = "#F5F5F5", text = "#424242"),
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"2" = list(bg = "#E8F5E9", text = "#2E7D32"),
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"3" = list(bg = "#FFF3E0", text = "#E65100"),
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"4" = list(bg = "#FFF8E1", text = "#F57F17"),
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"5" = list(bg = "#FFEBEE", text = "#B71C1C")
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)
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library(shiny)
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library(dplyr)
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library(ggplot2)
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library(haven)
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library(officer)
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# Infrastruktur ####
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APP_VERZEICHNIS = normalizePath(getwd())
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absPath = function(pfad) {
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if (grepl("^([A-Za-z]:[/\\\\]|/)", pfad)) return(pfad)
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file.path(APP_VERZEICHNIS, pfad)
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}
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PFAD_DOWNLOAD_SKRIPT = normalizePath(absPath(PFAD_DOWNLOAD_SKRIPT), mustWork = FALSE)
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PFAD_PSEUDONYM_SKRIPT = normalizePath(absPath(PFAD_PSEUDONYM_SKRIPT), mustWork = FALSE)
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# Helper ####
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# labels-Attribut der ORIGINAL-Spalte (vor Subsetting) lesen, damit
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# die Zuordnung Wert -> Stufe immer aus den Daten selbst stammt.
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pg13r_get_level = function(original_col, wert) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert[1])) return(NA_integer_)
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lbl_attr = attr(original_col, "labels")
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if (!is.null(lbl_attr) && length(lbl_attr) > 0) {
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lbl_sortiert = sort(as.vector(lbl_attr))
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pos = which(lbl_sortiert == as.numeric(wert[1]))
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if (length(pos) > 0) return(as.integer(pos[1]) - 1L)
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}
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# Fallback bei fehlenden labels: 1-basierte Kodierung angenommen
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as.integer(as.numeric(wert[1])) - 1L
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}
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pg13r_get_anker = function(original_col, wert) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert[1])) return(NA_character_)
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lbl_attr = attr(original_col, "labels")
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if (!is.null(lbl_attr) && length(lbl_attr) > 0) {
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pos = which(as.vector(lbl_attr) == as.numeric(wert[1]))
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if (length(pos) > 0) return(names(lbl_attr)[pos[1]])
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}
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stufe = max(0L, min(4L, as.integer(as.numeric(wert[1])) - 1L))
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c("Ueberhaupt nicht", "Kaum", "Ein wenig", "Ziemlich", "Sehr")[stufe + 1L]
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}
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# Nie hartkodiert 1/2 - immer aus dem labels-Attribut der Original-Spalte.
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pg13r_get_label_text = function(original_col, wert) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert[1])) return(NA_character_)
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lbl_attr = attr(original_col, "labels")
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if (!is.null(lbl_attr) && length(lbl_attr) > 0) {
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pos = which(as.vector(lbl_attr) == as.numeric(wert[1]))
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if (length(pos) > 0) return(names(lbl_attr)[pos[1]])
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}
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NA_character_
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}
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# Entfernt formr-Nummerierungsartefakte am Anfang des Itemtexts
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# (z.B. "1. " oder "01) "), die manchmal im label-Attribut erscheinen.
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clean_item_label = function(text) {
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if (is.null(text) || length(text) == 0 || is.na(text[1])) return(NA_character_)
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sub("^\\d+[.)\\s]\\s*", "", trimws(as.character(text[1])))
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}
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pg13r_diagnose = function(verlust_text, summenscore, monate_num, beeintr_text) {
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if (!is.na(verlust_text) && verlust_text == "Nein") {
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return(list(
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kategorie = 1L,
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titel = "Kein Verlust angegeben",
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hinweis = paste0(
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"Es wurde kein Trauerfall angegeben. Die Fragen des PG-13-R ",
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"waren fuer die aktuelle Situation vermutlich nicht relevant."
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),
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disclaimer = PG13R_DISCLAIMER
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))
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}
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if (isTRUE(summenscore < 30)) {
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return(list(
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kategorie = 2L,
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titel = "Score unter Schwelle",
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hinweis = paste0(
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"Summenscore (", summenscore, " / 50) liegt unter dem Cutoff von 30. ",
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"Kriterien fuer Prolonged Grief Disorder nicht erfuellt."
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),
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disclaimer = PG13R_DISCLAIMER
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))
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}
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monate_ok = !is.na(monate_num) && isTRUE(monate_num >= 12)
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if (!monate_ok) {
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monats_hinweis = if (is.na(monate_num)) {
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"Die Angabe der Monate seit dem Verlust fehlt oder war nicht auswertbar. "
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} else {
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paste0("Vergangene Zeit seit dem Verlust: ", monate_num,
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" Monate (Kriterium: mind. 12 Monate). ")
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}
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return(list(
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kategorie = 3L,
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titel = "Zeitkriterium nicht erfuellt",
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hinweis = paste0(
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"Deutlich belastet (Score ", summenscore, " >= 30), aber Diagnose ",
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"noch nicht stellbar: ", monats_hinweis,
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"Erneute Einschaetzung nach Ablauf von 12 Monaten seit dem Verlust empfohlen."
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),
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disclaimer = PG13R_DISCLAIMER
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))
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}
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if (!is.na(beeintr_text) && beeintr_text == "Nein") {
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return(list(
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kategorie = 4L,
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titel = "Keine relevante Beeintraechtigung angegeben",
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hinweis = paste0(
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"Score-Schwelle (", summenscore, " >= 30) und Zeitkriterium (>= 12 Monate) erfuellt, ",
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"jedoch wurde keine relevante Funktionsbeeintraechtigung angegeben. ",
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"Kriterien fuer die Diagnose damit nicht vollstaendig erfuellt."
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),
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disclaimer = PG13R_DISCLAIMER
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))
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}
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if (!is.na(beeintr_text) && beeintr_text == "Ja") {
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return(list(
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kategorie = 5L,
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titel = "Alle Kriterien erfuellt",
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hinweis = paste0(
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"Alle drei Kriterien erfuellt: Symptomschwere (Score ", summenscore, " >= 30), ",
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"Zeitkriterium (>= 12 Monate seit dem Verlust) und relevante ",
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"Funktionsbeeintraechtigung angegeben. ",
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"Dies entspricht den diagnostischen Kriterien fuer Prolonged Grief Disorder ",
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"nach diesem Screening-Algorithmus."
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),
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disclaimer = PG13R_DISCLAIMER
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))
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}
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# Beeintraechtigung ist NA: konservativ wie Kategorie 4 behandeln.
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list(
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kategorie = 4L,
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titel = "Beeintraechtigung nicht angegeben",
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hinweis = paste0(
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"Score-Schwelle (", summenscore, " >= 30) und Zeitkriterium (>= 12 Monate) erfuellt, ",
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"jedoch liegt keine Angabe zur Funktionsbeeintraechtigung vor. ",
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"Ohne Bestaetigung einer Beeintraechtigung gelten die vollstaendigen Kriterien ",
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"als nicht erfuellt."
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),
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disclaimer = PG13R_DISCLAIMER
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)
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}
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make_gauge_pg13r = function(score) {
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ggplot() +
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geom_rect(aes(xmin = 10, xmax = 30, ymin = 0, ymax = 1),
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fill = "#E8F5E9", color = NA) +
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geom_rect(aes(xmin = 30, xmax = 50, ymin = 0, ymax = 1),
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fill = "#FFEBEE", color = NA) +
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geom_rect(aes(xmin = 10, xmax = 50, ymin = 0, ymax = 1),
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fill = NA, color = "#9E9E9E", linewidth = 0.6) +
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geom_vline(xintercept = 30, color = "#E65100", linetype = "dashed", linewidth = 1) +
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geom_segment(aes(x = score, xend = score, y = -0.25, yend = 1.25),
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color = AKZENT_FARBE, linewidth = 2.5) +
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geom_label(aes(x = score, y = 1.6, label = paste0("Score: ", score)),
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fill = AKZENT_FARBE, color = "white", fontface = "bold",
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linewidth = 0, size = 4) +
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annotate("text", x = 30, y = -0.55, label = "Cutoff: 30",
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color = "#E65100", size = 3.2, hjust = 0.5) +
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annotate("text", x = 20, y = 0.5, label = "< 30",
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color = "#2E7D32", size = 3.5, fontface = "italic") +
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annotate("text", x = 40, y = 0.5, label = ">= 30",
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color = "#B71C1C", size = 3.5, fontface = "italic") +
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scale_x_continuous(limits = c(7, 53), breaks = c(10, 20, 30, 40, 50)) +
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scale_y_continuous(limits = c(-0.8, 2.0)) +
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theme_minimal(base_size = 12) +
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theme(
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axis.text.y = element_blank(),
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axis.ticks.y = element_blank(),
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panel.grid.major.y = element_blank(),
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panel.grid.minor = element_blank(),
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axis.title.y = element_blank(),
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plot.margin = margin(t = 5, r = 10, b = 5, l = 10)
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) +
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labs(x = "PG-13-R Summenscore (10-50)", y = NULL)
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}
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# UI ####
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app_css = "
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body { font-family: 'Segoe UI', Arial, sans-serif; background: #f5f5f5; }
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.app-header {
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background: #8B2635; color: white; padding: 18px 24px 14px;
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margin-bottom: 20px; border-radius: 0 0 6px 6px;
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}
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.app-header h2 { margin: 0; font-size: 1.5rem; font-weight: 600; }
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.app-header p { margin: 4px 0 0; opacity: 0.85; font-size: 0.9rem; }
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.input-panel {
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background: white; border-radius: 6px; padding: 16px 20px;
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margin-bottom: 16px; box-shadow: 0 1px 3px rgba(0,0,0,.12);
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display: flex; align-items: flex-end; gap: 12px; flex-wrap: wrap;
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}
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.input-panel .form-group { margin-bottom: 0; }
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.input-panel label { font-weight: 600; color: #333; }
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.btn-laden {
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background: #8B2635 !important; color: white !important;
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border: none !important; border-radius: 4px !important;
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padding: 8px 20px !important; font-weight: 600 !important; cursor: pointer;
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}
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.btn-laden:hover { background: #6d1e29 !important; }
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.alert-fehler {
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background: #FFEBEE; border-left: 5px solid #C62828;
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padding: 12px 16px; border-radius: 4px; color: #B71C1C;
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margin-bottom: 12px; font-weight: 500;
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}
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.alert-warnung {
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background: #FFF3E0; border-left: 5px solid #E65100;
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padding: 10px 16px; border-radius: 4px; color: #BF360C;
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margin-bottom: 12px; font-size: 0.93em; font-weight: 500;
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}
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.abschnitt-karte {
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background: white; border-radius: 6px; padding: 20px 24px;
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margin-bottom: 16px; box-shadow: 0 1px 3px rgba(0,0,0,.12);
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}
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.abschnitt-titel {
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color: #8B2635; font-size: 1.15rem; font-weight: 700;
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border-bottom: 2px solid #8B2635; padding-bottom: 8px; margin-bottom: 14px;
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}
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.meta-block { margin-bottom: 10px; color: #555; font-size: 0.95em; }
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.meta-block strong { color: #222; }
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.kontext-zeile {
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display: flex; gap: 8px; align-items: baseline;
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padding: 4px 0; color: #444; font-size: 0.93em;
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}
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.kontext-label { font-weight: 600; color: #333; min-width: 220px; }
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.diagnose-box {
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border-radius: 6px; padding: 14px 18px; margin: 12px 0;
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border-left: 5px solid;
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}
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.diagnose-titel { font-weight: 700; font-size: 1.05rem; margin-bottom: 6px; }
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.diagnose-hinweis { font-size: 0.93em; line-height: 1.55; }
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.diagnose-disclaimer {
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font-size: 0.82em; color: #777; font-style: italic;
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margin-top: 10px; border-top: 1px solid rgba(0,0,0,.1); padding-top: 8px;
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}
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.pg-kat-1 { background: #F5F5F5; border-color: #9E9E9E; color: #424242; }
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.pg-kat-2 { background: #E8F5E9; border-color: #A5D6A7; color: #2E7D32; }
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.pg-kat-3 { background: #FFF3E0; border-color: #FFCC80; color: #E65100; }
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.pg-kat-4 { background: #FFF8E1; border-color: #FFE082; color: #F57F17; }
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.pg-kat-5 { background: #FFEBEE; border-color: #EF9A9A; color: #B71C1C; }
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.item-zeile {
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display: flex; align-items: flex-start; gap: 10px;
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padding: 7px 0; border-bottom: 1px solid #F0F0F0;
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}
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.item-nr { font-weight: 600; color: #8B2635; min-width: 26px; flex-shrink: 0; }
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.item-text { flex: 1; color: #333; font-size: 0.92em; }
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.stufe-badge {
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border-radius: 4px; padding: 2px 9px; font-weight: 700;
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font-size: 0.82em; white-space: nowrap; display: inline-block; flex-shrink: 0;
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}
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.stufe-badge-0 { background: #4CAF50; color: white; }
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.stufe-badge-1 { background: #F48FB1; color: #333333; }
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.stufe-badge-2 { background: #EF5350; color: white; }
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.stufe-badge-3 { background: #B71C1C; color: white; }
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.stufe-badge-4 { background: #4A0000; color: white; }
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.score-zahl { font-size: 2.2rem; font-weight: 800; color: #8B2635; }
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.cutoff-info { font-size: 0.88em; color: #555; margin-top: 4px; }
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"
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app_css = gsub("#8B2635", AKZENT_FARBE, app_css, fixed = TRUE)
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ui = fluidPage(
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tags$head(
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tags$meta(charset = "UTF-8"),
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tags$style(HTML(app_css))
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),
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div(class = "app-header",
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tags$h2("PG-13-Revised – Prolonged Grief Disorder"),
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tags$p("Prigerson et al. 2021 | dt. Uebersetzung AG Psychotraumatologie KU Eichstaett")
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),
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div(class = "container-fluid",
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div(class = "input-panel",
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div(style = "min-width: 360px; white-space: nowrap;",
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textInput("pseudonym",
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label = tagList(
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"Pseudonym",
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tags$span(style = "font-weight: normal; font-style: italic; font-size: 0.78em; color: #888; margin-left: 4px; white-space: nowrap;",
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"optional, hat Vorrang vor Chiffre")
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),
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placeholder = "optional", width = "340px")
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),
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div(style = "min-width: 180px;",
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textInput("chiffre", label = "Patientenchiffre",
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placeholder = "z.B. P000123", width = "180px")
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),
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actionButton("btn_suchen", "Daten laden", class = "btn-laden"),
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div(style = "margin-left: auto;",
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downloadButton("download_word", "Word-Bericht herunterladen",
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style = paste0(
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"background:", AKZENT_FARBE, "; color:white; border:none;",
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" font-weight:600; padding:8px 20px; border-radius:4px;"
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)
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)
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)
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),
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uiOutput("fehler_ui"),
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uiOutput("warnung_ui"),
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uiOutput("ergebnis_ui")
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)
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)
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# Word-Export ####
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erstelle_pg13r_docx = function(d) {
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doc = read_docx()
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fp_titel = fp_text(color = AKZENT_FARBE, bold = TRUE, font.size = 18)
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fp_abschnitt = fp_text(color = AKZENT_FARBE, bold = TRUE, font.size = 13)
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fp_label = fp_text(bold = TRUE, font.size = 11)
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fp_normal = fp_text(font.size = 11)
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fp_disclaimer = fp_text(font.size = 9, italic = TRUE, color = "#777777")
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kat_key = as.character(d$diagnose$kategorie)
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kat_farbe = PG13R_KAT_WORD_FARBEN[[kat_key]]
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fp_kat_titel = fp_text(bold = TRUE, font.size = 12,
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color = kat_farbe$text, shading.color = kat_farbe$bg)
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fp_kat_text = fp_text(font.size = 11,
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color = kat_farbe$text, shading.color = kat_farbe$bg)
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doc = body_add_fpar(doc, fpar(ftext("PG-13-Revised - Einzelauswertung", fp_titel)))
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doc = body_add_fpar(doc, fpar(
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ftext("Chiffre: ", fp_label),
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ftext(d$chiffre, fp_normal),
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ftext(" Datum: ", fp_label),
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ftext(d$datum_str, fp_normal)
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))
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if (!is.null(d$info_mehrere)) {
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doc = body_add_fpar(doc, fpar(
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ftext(d$info_mehrere,
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fp_text(font.size = 10, italic = TRUE, color = "#555555"))
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))
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}
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doc = body_add_par(doc, "", style = "Normal")
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fp_score = if (isTRUE(d$summenscore >= 30))
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fp_text(bold = TRUE, font.size = 12, color = "#C62828")
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else
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fp_text(bold = TRUE, font.size = 12, color = "#2E7D32")
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|
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doc = body_add_fpar(doc, fpar(ftext("Auswertung", fp_abschnitt)))
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext("Summenscore: ", fp_label),
|
||
ftext(paste0(d$summenscore, " / 50 (Cutoff: 30)"), fp_score)
|
||
))
|
||
doc = body_add_par(doc, "", style = "Normal")
|
||
|
||
doc = body_add_fpar(doc, fpar(ftext("Diagnostische Einordnung", fp_abschnitt)))
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext(paste0("Kategorie ", d$diagnose$kategorie, ": ", d$diagnose$titel),
|
||
fp_kat_titel)
|
||
))
|
||
doc = body_add_fpar(doc, fpar(ftext(d$diagnose$hinweis, fp_kat_text)))
|
||
doc = body_add_par(doc, "", style = "Normal")
|
||
|
||
doc = body_add_fpar(doc, fpar(ftext("Kontextangaben", fp_abschnitt)))
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext("Verlust erlebt: ", fp_label),
|
||
ftext(if (is.na(d$verlust_text)) "k. A." else d$verlust_text, fp_normal)
|
||
))
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext("Monate seit dem Verlust: ", fp_label),
|
||
ftext(if (d$monate_str == "k. A.") "k. A." else d$monate_str, fp_normal)
|
||
))
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext("Funktionsbeeintraechtigung: ", fp_label),
|
||
ftext(if (is.na(d$beeintr_text)) "k. A." else d$beeintr_text, fp_normal)
|
||
))
|
||
doc = body_add_par(doc, "", style = "Normal")
|
||
|
||
doc = body_add_fpar(doc, fpar(ftext("PG-13-R Einzelitems", fp_abschnitt)))
|
||
|
||
for (i in seq_len(10)) {
|
||
stufe = d$stufen[i]
|
||
anker = d$anker_texte[i]
|
||
stufe_key = if (!is.na(stufe) && stufe >= 0L && stufe <= 4L)
|
||
as.character(stufe) else "0"
|
||
anker_txt = if (!is.na(anker)) anker else
|
||
c("Ueberhaupt nicht", "Kaum", "Ein wenig", "Ziemlich", "Sehr")[as.integer(stufe_key) + 1L]
|
||
item_txt = if (!is.na(d$item_texte[i])) d$item_texte[i] else paste0("Item ", i)
|
||
|
||
fp_badge = fp_text(
|
||
color = PG13R_BADGE_TEXT_FARBEN[[stufe_key]],
|
||
bold = TRUE,
|
||
shading.color = PG13R_BADGE_FARBEN[[stufe_key]],
|
||
font.size = 10
|
||
)
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext(paste0(i, ". ", item_txt, " "), fp_normal),
|
||
ftext(paste0(" ", anker_txt, " "), fp_badge)
|
||
))
|
||
}
|
||
|
||
doc = body_add_par(doc, "", style = "Normal")
|
||
doc = body_add_fpar(doc, fpar(ftext(d$diagnose$disclaimer, fp_disclaimer)))
|
||
|
||
doc
|
||
}
|
||
|
||
|
||
# Server ####
|
||
|
||
server = function(input, output, session) {
|
||
# --- pseudonym-support-injection v1 ---
|
||
observe({
|
||
query = parseQueryString(session$clientData$url_search)
|
||
if (!is.null(query$pseudonym) && nchar(trimws(query$pseudonym)) > 0) {
|
||
updateTextInput(session, "pseudonym", value = trimws(query$pseudonym))
|
||
}
|
||
})
|
||
|
||
observe({
|
||
query = parseQueryString(session$clientData$url_search)
|
||
if (!is.null(query$chiffre) && nchar(trimws(query$chiffre)) > 0) {
|
||
updateTextInput(session, "chiffre", value = toupper(trimws(query$chiffre)))
|
||
}
|
||
})
|
||
|
||
# Skripte werden NICHT beim App-Start gesourct, nur beim Klick.
|
||
ergebnis_r = eventReactive(input$btn_suchen, {
|
||
|
||
chiffre = toupper(trimws(input$chiffre))
|
||
|
||
if ((nchar(trimws(input$pseudonym)) == 0 && nchar(chiffre) == 0))
|
||
return(list(error = "Bitte eine Patientenchiffre eingeben."))
|
||
|
||
if (!(nchar(trimws(input$pseudonym)) > 0 || grepl("^[A-Z][0-9]{6}$", chiffre)))
|
||
return(list(error = paste0(
|
||
"Ungueltige Chiffre. Erwartet: ein Grossbuchstabe + 6 Ziffern (z.B. P000123).")))
|
||
|
||
if (!file.exists(PFAD_DOWNLOAD_SKRIPT))
|
||
return(list(error = paste0(
|
||
"Download-Skript nicht gefunden:\n", PFAD_DOWNLOAD_SKRIPT)))
|
||
if (!file.exists(PFAD_PSEUDONYM_SKRIPT))
|
||
return(list(error = paste0(
|
||
"Pseudonym-Skript nicht gefunden:\n", PFAD_PSEUDONYM_SKRIPT)))
|
||
|
||
res_dl = tryCatch(
|
||
{ source(PFAD_DOWNLOAD_SKRIPT, local = FALSE); list(ok = TRUE) },
|
||
error = function(e) list(ok = FALSE, msg = e$message)
|
||
)
|
||
if (!res_dl$ok)
|
||
return(list(error = paste0("Fehler im Download-Skript: ", res_dl$msg)))
|
||
|
||
db_ordner = local({
|
||
ordner = dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
|
||
gefunden = NULL
|
||
for (i in 1:5) {
|
||
if (file.exists(file.path(ordner, "pseudonyme.db"))) {
|
||
gefunden = ordner
|
||
break
|
||
}
|
||
elternteil = dirname(ordner)
|
||
if (elternteil == ordner) break
|
||
ordner = elternteil
|
||
}
|
||
gefunden
|
||
})
|
||
|
||
alter_wd = getwd()
|
||
wd_ziel = if (!is.null(db_ordner)) db_ordner else
|
||
dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
|
||
setwd(wd_ziel)
|
||
on.exit(setwd(alter_wd), add = TRUE)
|
||
|
||
res_ps = tryCatch(
|
||
{ source(PFAD_PSEUDONYM_SKRIPT, local = FALSE)
|
||
if (nchar(trimws(input$pseudonym)) > 0) {
|
||
.pw_wert = trimws(input$pseudonym)
|
||
.pw_tab = get("pseudo", envir = .GlobalEnv)
|
||
.pw_treffer = .pw_tab[.pw_tab$pseudonym == .pw_wert, ]
|
||
if (nrow(.pw_treffer) > 0) chiffre = toupper(trimws(.pw_treffer$chiffre[1]))
|
||
}; list(ok = TRUE) },
|
||
error = function(e) list(ok = FALSE, msg = e$message)
|
||
)
|
||
if (!res_ps$ok)
|
||
return(list(error = paste0("Fehler im Pseudonym-Skript: ", res_ps$msg)))
|
||
|
||
if (!exists("daten_pg13r", envir = .GlobalEnv))
|
||
return(list(error = paste0(
|
||
"Objekt 'daten_pg13r' nach dem Sourcen nicht gefunden. ",
|
||
"Bitte Download-Skript pruefen.")))
|
||
if (!exists("pseudo", envir = .GlobalEnv))
|
||
return(list(error = paste0(
|
||
"Objekt 'pseudo' nach dem Sourcen nicht gefunden. ",
|
||
"Bitte Pseudonym-Skript pruefen.")))
|
||
|
||
daten = get("daten_pg13r", envir = .GlobalEnv)
|
||
pseudo_df = get("pseudo", envir = .GlobalEnv)
|
||
|
||
# Eine Chiffre kann mehrere Pseudonyme haben (eines pro Instrument/Run).
|
||
treffer_ps = pseudo_df[pseudo_df$chiffre == chiffre, ]
|
||
if (nrow(treffer_ps) == 0)
|
||
return(list(error = paste0(
|
||
"Chiffre '", chiffre, "' wurde in der Pseudonym-Datenbank nicht gefunden.")))
|
||
|
||
alle_session_ids = unique(treffer_ps$pseudonym)
|
||
if (nchar(trimws(input$pseudonym)) > 0) alle_session_ids = trimws(input$pseudonym)
|
||
|
||
treffer_dat = daten[daten$session %in% alle_session_ids, ]
|
||
if (nrow(treffer_dat) == 0)
|
||
return(list(error = paste0(
|
||
"Kein PG-13-Revised-Datensatz fuer Chiffre '", chiffre, "' gefunden. ",
|
||
"(", length(alle_session_ids), " Pseudonym(e) geprueft)")))
|
||
|
||
info_mehrere = NULL
|
||
if (nrow(treffer_dat) > 1) {
|
||
n = nrow(treffer_dat)
|
||
treffer_dat = treffer_dat[order(treffer_dat$created, decreasing = TRUE), ]
|
||
datum_neu = tryCatch(
|
||
format(as.POSIXct(treffer_dat$created[1]), "%d.%m.%Y %H:%M"),
|
||
error = function(e) "unbekanntes Datum"
|
||
)
|
||
info_mehrere = paste0(
|
||
"Mehrere Ausfuellungen gefunden (", n, " Eintraege). ",
|
||
"Angezeigt wird die neueste vom ", datum_neu, "."
|
||
)
|
||
treffer_dat = treffer_dat[1, , drop = FALSE]
|
||
}
|
||
|
||
zeile = treffer_dat[1, , drop = FALSE]
|
||
datum_str = tryCatch(
|
||
format(as.POSIXct(zeile[["created"]][1]), "%d.%m.%Y"),
|
||
error = function(e) format(Sys.Date(), "%d.%m.%Y")
|
||
)
|
||
|
||
verlust_text = pg13r_get_label_text(daten[["verlust_erlebt"]],
|
||
zeile[["verlust_erlebt"]])
|
||
beeintr_text = pg13r_get_label_text(daten[["beeintraechtigung"]],
|
||
zeile[["beeintraechtigung"]])
|
||
|
||
monate_raw = zeile[["monate_seit_verlust"]][1]
|
||
monate_str = if (is.null(monate_raw) || is.na(monate_raw) ||
|
||
trimws(as.character(monate_raw)) == "")
|
||
"k. A." else as.character(monate_raw)
|
||
monate_num = suppressWarnings(as.numeric(monate_raw))
|
||
|
||
item_texte = sapply(seq_len(10), function(i) {
|
||
var = paste0("item", sprintf("%02d", i))
|
||
clean_item_label(attr(daten[[var]], "label"))
|
||
})
|
||
stufen = sapply(seq_len(10), function(i) {
|
||
var = paste0("item", sprintf("%02d", i))
|
||
pg13r_get_level(daten[[var]], zeile[[var]])
|
||
})
|
||
anker_texte = sapply(seq_len(10), function(i) {
|
||
var = paste0("item", sprintf("%02d", i))
|
||
pg13r_get_anker(daten[[var]], zeile[[var]])
|
||
})
|
||
|
||
# Summenscore = Summe der ROHEN Werte 1-5 (Range 10-50), nicht Stufen 0-4.
|
||
# Entspricht der Originalformel im JS-Scoring-Tool (sum += parseInt(field.value)).
|
||
raw_werte = sapply(seq_len(10), function(i) {
|
||
as.numeric(zeile[[paste0("item", sprintf("%02d", i))]][1])
|
||
})
|
||
summenscore = sum(raw_werte, na.rm = TRUE)
|
||
|
||
diagnose = pg13r_diagnose(verlust_text, summenscore, monate_num, beeintr_text)
|
||
|
||
list(
|
||
chiffre = chiffre,
|
||
datum_str = datum_str,
|
||
info_mehrere = info_mehrere,
|
||
verlust_text = verlust_text,
|
||
monate_str = monate_str,
|
||
monate_num = monate_num,
|
||
beeintr_text = beeintr_text,
|
||
summenscore = summenscore,
|
||
stufen = stufen,
|
||
anker_texte = anker_texte,
|
||
item_texte = item_texte,
|
||
diagnose = diagnose,
|
||
error = NULL
|
||
)
|
||
})
|
||
|
||
output$fehler_ui = renderUI({
|
||
req(input$btn_suchen)
|
||
d = ergebnis_r()
|
||
if (!is.null(d$error)) div(class = "alert-fehler", d$error)
|
||
})
|
||
|
||
output$warnung_ui = renderUI({
|
||
req(input$btn_suchen)
|
||
d = ergebnis_r()
|
||
if (!is.null(d$error) || is.null(d$info_mehrere)) return(NULL)
|
||
div(class = "alert-warnung", d$info_mehrere)
|
||
})
|
||
|
||
output$ergebnis_ui = renderUI({
|
||
req(input$btn_suchen)
|
||
d = ergebnis_r()
|
||
if (!is.null(d$error)) return(NULL)
|
||
|
||
diag = d$diagnose
|
||
kat_key = as.character(diag$kategorie)
|
||
|
||
items_ui = lapply(seq_len(10), function(i) {
|
||
stufe = d$stufen[i]
|
||
anker = d$anker_texte[i]
|
||
sk = if (!is.na(stufe) && stufe >= 0L && stufe <= 4L)
|
||
as.character(stufe) else "0"
|
||
anker_txt = if (!is.na(anker)) anker else
|
||
c("Ueberhaupt nicht", "Kaum", "Ein wenig", "Ziemlich", "Sehr")[as.integer(sk) + 1L]
|
||
item_txt = if (!is.na(d$item_texte[i])) d$item_texte[i] else paste0("Item ", i)
|
||
|
||
div(class = "item-zeile",
|
||
div(class = "item-nr", paste0(i, ".")),
|
||
div(class = "item-text", item_txt),
|
||
span(class = paste0("stufe-badge stufe-badge-", sk), anker_txt)
|
||
)
|
||
})
|
||
|
||
div(class = "abschnitt-karte",
|
||
div(class = "abschnitt-titel", "PG-13-Revised"),
|
||
|
||
div(class = "meta-block",
|
||
tags$strong("Chiffre: "), d$chiffre,
|
||
tags$span(" | ", style = "color:#ccc;"),
|
||
tags$strong("Ausfuelldatum: "), d$datum_str
|
||
),
|
||
|
||
tags$hr(),
|
||
|
||
fluidRow(
|
||
column(3,
|
||
div(
|
||
div(class = "score-zahl", d$summenscore),
|
||
div("Summenscore (10-50)", style = "color:#555;"),
|
||
div(class = "cutoff-info",
|
||
if (isTRUE(d$summenscore >= 30))
|
||
tags$span(style = "color:#B71C1C; font-weight:600;",
|
||
paste0(d$summenscore, " >= 30: Schwelle erreicht"))
|
||
else
|
||
tags$span(style = "color:#2E7D32; font-weight:600;",
|
||
paste0(d$summenscore, " < 30: Unterhalb Cutoff"))
|
||
)
|
||
)
|
||
),
|
||
column(9, plotOutput("gauge_plot", height = "160px"))
|
||
),
|
||
|
||
tags$hr(),
|
||
|
||
tags$h5("Diagnostische Einordnung"),
|
||
div(class = paste0("diagnose-box pg-kat-", kat_key),
|
||
div(class = "diagnose-titel",
|
||
paste0("Kategorie ", diag$kategorie, ": ", diag$titel)),
|
||
div(class = "diagnose-hinweis", diag$hinweis),
|
||
div(class = "diagnose-disclaimer", diag$disclaimer)
|
||
),
|
||
|
||
tags$hr(),
|
||
|
||
tags$h5("Kontextangaben"),
|
||
div(class = "kontext-zeile",
|
||
div(class = "kontext-label", "Verlust erlebt:"),
|
||
div(if (is.na(d$verlust_text)) "k. A." else d$verlust_text)
|
||
),
|
||
div(class = "kontext-zeile",
|
||
div(class = "kontext-label", "Monate seit dem Verlust:"),
|
||
div(d$monate_str)
|
||
),
|
||
div(class = "kontext-zeile",
|
||
div(class = "kontext-label", "Funktionsbeeintraechtigung:"),
|
||
div(if (is.na(d$beeintr_text)) "k. A." else d$beeintr_text)
|
||
),
|
||
|
||
tags$hr(),
|
||
|
||
tags$h5("PG-13-R Einzelitems"),
|
||
div(items_ui)
|
||
)
|
||
})
|
||
|
||
output$gauge_plot = renderPlot({
|
||
req(input$btn_suchen)
|
||
d = ergebnis_r()
|
||
req(is.null(d$error))
|
||
make_gauge_pg13r(d$summenscore)
|
||
}, bg = "transparent")
|
||
|
||
output$download_word = downloadHandler(
|
||
filename = function() {
|
||
d = tryCatch(ergebnis_r(), error = function(e) NULL)
|
||
chiffre = if (is.list(d) && is.null(d$error) && nchar(d$chiffre) > 0)
|
||
d$chiffre else "export"
|
||
datum = if (is.list(d) && is.null(d$error) && !is.null(d$datum_str))
|
||
tryCatch(
|
||
format(as.Date(d$datum_str, "%d.%m.%Y"), "%Y%m%d"),
|
||
error = function(e) format(Sys.Date(), "%Y%m%d")
|
||
)
|
||
else
|
||
format(Sys.Date(), "%Y%m%d")
|
||
paste0("PG13R_", chiffre, "_", datum, ".docx")
|
||
},
|
||
content = function(file) {
|
||
d = tryCatch(ergebnis_r(), error = function(e) NULL)
|
||
daten_ok = is.list(d) && is.null(d$error)
|
||
if (!daten_ok) {
|
||
doc = read_docx()
|
||
doc = body_add_par(doc,
|
||
"Kein Datensatz geladen. Bitte zuerst Chiffre eingeben und 'Daten laden' klicken.",
|
||
style = "Normal")
|
||
print(doc, target = file)
|
||
return()
|
||
}
|
||
doc = tryCatch(
|
||
erstelle_pg13r_docx(d),
|
||
error = function(e) {
|
||
err_doc = read_docx()
|
||
body_add_par(err_doc,
|
||
paste0("Fehler beim Erstellen des Word-Dokuments: ", e$message),
|
||
style = "Normal")
|
||
}
|
||
)
|
||
print(doc, target = file)
|
||
}
|
||
)
|
||
}
|
||
|
||
|
||
# Start ####
|
||
|
||
shinyApp(ui, server)
|