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FAS-PV/app.R
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FAS-PV/app.R
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# Präambel ####
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AKZENT_FARBE = "#8B2635"
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PFAD_DOWNLOAD_SKRIPT = "../API/get_data_fas_pv.R"
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PFAD_PSEUDONYM_SKRIPT = "../get_pseudo.R"
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FASPV_DISCLAIMER = paste0(
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"Diese Auswertung ist ein Hilfsmittel fuer klinisches Fachpersonal und ersetzt ",
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"keine klinische Diagnose. Es liegen keine publizierten klinischen Cutoffs fuer ",
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"die FAS-PV vor; der dargestellte Vergleichsbereich stammt aus einer kleinen ",
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"Validierungsstichprobe (Wu et al., 2016, N=61) und dient nur der groben ",
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"Einordnung. Die Interpretation obliegt der behandelnden Person."
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)
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FASPV_GAUGE_HINWEIS = paste0(
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"Es liegen keine publizierten klinischen Cutoffs fuer die FAS-PV vor. Der ",
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"markierte Bereich zeigt Mittelwert ± Standardabweichung einer kleinen ",
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"Validierungsstichprobe (N=61) zur groben Einordnung, keine diagnostische Schwelle."
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)
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# Referenzwerte Wu et al. (2016), N=61 - explizit KEINE Cutoffs.
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FASPV_REF_MEAN = 14.34
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FASPV_REF_SD = 12.87
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FASPV_REF_RANGE = c(0, 53)
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FASPV_SCORE_MAX = 76
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FASPV_REF_ALPHA = 0.88
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# Zuordnung Label-Text -> Stufe (0-4) fuer Teil II. Nie hartkodierte Rohwerte
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# verwenden - die formr-Kodierung (0- oder 1-basiert) ist fuer diese
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# Installation nicht verifiziert.
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FASPV_STUFEN_MAP = c(
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"nie" = 0L,
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"1 Tag" = 1L,
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"2-3 Tage" = 2L,
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"4-6 Tage" = 3L,
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"Jeden Tag" = 4L
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)
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# Verlauf gruen -> dunkelrot entspricht den 5 Antwortstufen 0-4 der FAS-PV.
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FASPV_BADGE_FARBEN = c(
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"0" = "#4CAF50",
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"1" = "#C0CA33",
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"2" = "#F48FB1",
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"3" = "#EF5350",
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"4" = "#4A0000"
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)
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FASPV_BADGE_TEXT_FARBEN = c(
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"0" = "white",
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"1" = "#333333",
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"2" = "#333333",
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"3" = "white",
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"4" = "white"
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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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# Entfernt formr-Markdown-Sternchen und Nummerierungsartefakte aus Label-Texten
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# (Fragetexte kommen ausschliesslich aus dem label-Attribut, nie hartkodiert im Code).
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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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txt = gsub("\\*", "", as.character(text[1]))
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txt = trimws(txt)
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# formr escaped den Punkt der Nummerierung oft als "14\." statt "14.",
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# damit Markdown daraus keine Aufzaehlung macht - Backslash optional mitfangen.
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txt = sub("^\\d+\\\\?[.)]\\s*", "", txt)
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txt = sub("^\\\\?\\.\\s*", "", txt)
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trimws(txt)
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}
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# Liefert den Label-Text (Original-Antworttext) fuer einen Rohwert, gelesen
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# aus dem labels-Attribut der ORIGINAL-Spalte (vor Subsetting).
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faspv_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(trimws(names(lbl_attr)[pos[1]]))
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}
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NA_character_
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}
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# Stufenableitung (0-4) fuer Teil II: Rohwert -> Label-Text (aus labels-Attribut
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# der Original-Spalte) -> Stufe (ueber FASPV_STUFEN_MAP per exaktem Textabgleich).
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# Niemals aus dem Rohwert selbst ableiten. Bei unbekanntem Label-Text wird eine
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# Warnung zurueckgegeben statt stillschweigend NA/0 zu setzen.
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faspv_teil2_item = function(original_col, wert) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert[1])) {
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return(list(stufe = NA_integer_, anker = NA_character_, warnung = NULL))
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}
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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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return(list(
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stufe = NA_integer_, anker = NA_character_,
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warnung = "Keine labels im Spaltenattribut gefunden - Stufe nicht ableitbar."
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))
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}
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pos = which(as.vector(lbl_attr) == as.numeric(wert[1]))
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if (length(pos) == 0) {
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return(list(
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stufe = NA_integer_, anker = NA_character_,
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warnung = paste0("Rohwert '", wert[1], "' nicht im labels-Attribut gefunden.")
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))
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}
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anker = trimws(names(lbl_attr)[pos[1]])
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if (!anker %in% names(FASPV_STUFEN_MAP)) {
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return(list(
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stufe = NA_integer_, anker = anker,
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warnung = paste0(
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"Unerwarteter Label-Text '", anker, "' - Stufenzuordnung nicht sicher ",
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"(erwartet: ", paste(names(FASPV_STUFEN_MAP), collapse = ", "), ")."
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)
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))
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}
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list(stufe = as.integer(FASPV_STUFEN_MAP[[anker]]), anker = anker, warnung = NULL)
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}
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# ANNAHME: Kodierung des check-Typs in dieser formr-Installation ist nicht
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# verifiziert. Ein Wert gilt als "angekreuzt", wenn er nicht NA und nicht
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# 0/FALSE/"0" ist. Bei erstem echten Testlauf zu verifizieren.
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faspv_ist_angekreuzt = function(wert) {
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if (is.null(wert) || length(wert) == 0) return(FALSE)
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w = wert[1]
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if (is.na(w)) return(FALSE)
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if (is.logical(w)) return(isTRUE(w))
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if (is.character(w)) return(!(trimws(w) %in% c("", "0", "FALSE")))
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isTRUE(as.numeric(w) != 0)
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}
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make_gauge_faspv = function(score) {
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ref_lo = max(0, FASPV_REF_MEAN - FASPV_REF_SD)
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ref_hi = FASPV_REF_MEAN + FASPV_REF_SD
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ref_label = paste0(
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"Vergleichsstichprobe (Wu et al., 2016, N=61) - kein klinischer Cutoff ",
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"(M=", FASPV_REF_MEAN, ", SD=", FASPV_REF_SD, ")"
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)
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ggplot() +
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geom_rect(aes(xmin = 0, xmax = FASPV_SCORE_MAX, ymin = 0, ymax = 1),
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fill = "#F5F5F5", color = NA) +
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geom_rect(aes(xmin = ref_lo, xmax = ref_hi, ymin = 0, ymax = 1),
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fill = "#F5E6E8", color = NA) +
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geom_rect(aes(xmin = 0, xmax = FASPV_SCORE_MAX, ymin = 0, ymax = 1),
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fill = NA, color = "#9E9E9E", linewidth = 0.6) +
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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,
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label = paste0("Score: ", score, " / ", FASPV_SCORE_MAX)),
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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 = (ref_lo + ref_hi) / 2, y = -0.55,
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label = ref_label, color = "#6d1e29", size = 3, hjust = 0.5) +
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scale_x_continuous(limits = c(0, FASPV_SCORE_MAX),
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breaks = c(0, 19, 38, 57, FASPV_SCORE_MAX)) +
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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 = paste0("FAS-PV Gesamtscore (0-", FASPV_SCORE_MAX, ")"), 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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#download_word {
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background: #8B2635; 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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#download_word:hover { background: #6d1e29; color: white; }
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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: 240px; }
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.teil1-hinweis {
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font-size: 0.85em; color: #777; font-style: italic; margin-bottom: 12px;
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}
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.teil1-liste { margin: 4px 0 14px 0; padding-left: 20px; color: #333; font-size: 0.92em; }
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.teil1-leer { color: #999; font-style: italic; font-size: 0.92em; }
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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: #C0CA33; color: #333333; }
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.stufe-badge-2 { background: #F48FB1; color: #333333; }
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.stufe-badge-3 { background: #EF5350; 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; line-height: 1.5; }
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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("FAS-PV – Family Accommodation Scale (Patientenversion)"),
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tags$p("Wu, M. S. et al. 2016 | Erfassung von Familienakkommodation bei Zwangsstoerungen")
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),
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div(class = "container-fluid",
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div(class = "input-panel",
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div(style = "min-width: 360px; white-space: nowrap;",
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textInput("pseudonym",
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label = tagList(
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"Pseudonym",
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tags$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: 200px;",
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textInput("chiffre", label = "Patientenchiffre",
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placeholder = "z.B. P000123", width = "100%")
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),
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actionButton("btn_suchen", "Auswerten", class = "btn btn-primary btn-laden"),
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div(style = "margin-left: auto;",
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downloadButton("download_word", "Word-Export (.docx)")
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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_faspv_docx = function(erg) {
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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_score = fp_text(bold = TRUE, font.size = 14, color = AKZENT_FARBE)
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fp_disclaimer = fp_text(font.size = 9, italic = TRUE, color = "#777777")
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fp_hinweis = fp_text(font.size = 9, italic = TRUE, color = "#777777")
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doc = body_add_fpar(doc, fpar(ftext("FAS-PV – Auswertung", fp_titel)))
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doc = body_add_fpar(doc, fpar(
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ftext("Chiffre: ", fp_label), ftext(erg$chiffre, fp_normal),
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ftext(" Ausfülldatum: ", fp_label), ftext(erg$ausfuelldatum, fp_normal)
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))
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if (!is.na(erg$geschlecht_text) || !is.na(erg$beziehung_text)) {
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beziehung_anzeige = if (is.na(erg$beziehung_text)) "k. A." else {
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if (!is.null(erg$beziehung_andere) && nchar(erg$beziehung_andere) > 0)
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paste0(erg$beziehung_text, " (", erg$beziehung_andere, ")")
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else erg$beziehung_text
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}
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doc = body_add_fpar(doc, fpar(
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ftext("Geschlecht: ", fp_label),
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ftext(if (is.na(erg$geschlecht_text)) "k. A." else erg$geschlecht_text, fp_normal),
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ftext(" Beziehung: ", fp_label),
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ftext(beziehung_anzeige, fp_normal)
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))
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}
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if (!is.null(erg$warnung_mehrfach)) {
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doc = body_add_fpar(doc, fpar(
|
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ftext(erg$warnung_mehrfach, fp_text(font.size = 10, italic = TRUE, color = "#BF360C"))
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))
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}
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doc = body_add_par(doc, "", style = "Normal")
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doc = body_add_fpar(doc, fpar(ftext("Gesamtscore", fp_abschnitt)))
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doc = body_add_fpar(doc, fpar(
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ftext(paste0(erg$gesamtscore, " / ", FASPV_SCORE_MAX), fp_score)
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))
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doc = body_add_fpar(doc, fpar(ftext(paste0(
|
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"Vergleichsstichprobe (Wu et al., 2016, N=61): M=", FASPV_REF_MEAN,
|
||||
", SD=", FASPV_REF_SD, ", beobachteter Range ", FASPV_REF_RANGE[1], "-",
|
||||
FASPV_REF_RANGE[2], " (Cronbachs Alpha=", FASPV_REF_ALPHA, "). ",
|
||||
"Es liegen keine publizierten klinischen Cutoffs vor, dies dient nur der ",
|
||||
"groben Einordnung."
|
||||
), fp_hinweis)))
|
||||
doc = body_add_par(doc, "", style = "Normal")
|
||||
|
||||
doc = body_add_fpar(doc, fpar(ftext(
|
||||
"Teil I – Berichtete Zwangssymptome (unverrechnet)", fp_abschnitt)))
|
||||
doc = body_add_fpar(doc, fpar(ftext(
|
||||
"Diese Angaben fliessen nicht in den Gesamtscore ein.",
|
||||
fp_text(font.size = 9, italic = TRUE, color = "#777777"))))
|
||||
doc = body_add_fpar(doc, fpar(ftext("Zwangsgedanken: ", fp_label)))
|
||||
zg_txt = if (nrow(erg$teil1_zg[erg$teil1_zg$angekreuzt, ]) == 0) "Keine Angabe" else
|
||||
paste(erg$teil1_zg$text[erg$teil1_zg$angekreuzt], collapse = "; ")
|
||||
doc = body_add_fpar(doc, fpar(ftext(zg_txt, fp_normal)))
|
||||
doc = body_add_fpar(doc, fpar(ftext("Zwangshandlungen: ", fp_label)))
|
||||
zh_txt = if (nrow(erg$teil1_zh[erg$teil1_zh$angekreuzt, ]) == 0) "Keine Angabe" else
|
||||
paste(erg$teil1_zh$text[erg$teil1_zh$angekreuzt], collapse = "; ")
|
||||
doc = body_add_fpar(doc, fpar(ftext(zh_txt, fp_normal)))
|
||||
doc = body_add_par(doc, "", style = "Normal")
|
||||
|
||||
doc = body_add_fpar(doc, fpar(ftext("Teil II – Einzelitems", fp_abschnitt)))
|
||||
for (i in seq_len(nrow(erg$items))) {
|
||||
it = erg$items[i, ]
|
||||
sk = if (!is.na(it$stufe) && it$stufe >= 0 && it$stufe <= 4) as.character(it$stufe) else "0"
|
||||
anker_txt = if (!is.na(it$anker)) it$anker else "k. A."
|
||||
fp_badge = fp_text(
|
||||
color = FASPV_BADGE_TEXT_FARBEN[[sk]], bold = TRUE,
|
||||
shading.color = FASPV_BADGE_FARBEN[[sk]], font.size = 10
|
||||
)
|
||||
doc = body_add_fpar(doc, fpar(
|
||||
ftext(paste0(it$nr, ". ", it$text, " "), fp_normal),
|
||||
ftext(paste0(" ", anker_txt, " "), fp_badge)
|
||||
))
|
||||
}
|
||||
|
||||
doc = body_add_par(doc, "", style = "Normal")
|
||||
doc = body_add_fpar(doc, fpar(ftext(FASPV_DISCLAIMER, fp_disclaimer)))
|
||||
|
||||
doc
|
||||
}
|
||||
|
||||
|
||||
# Server ####
|
||||
|
||||
server = function(input, output, session) {
|
||||
# --- pseudonym-support-injection v1 ---
|
||||
observe({
|
||||
query = parseQueryString(session$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$chiffre)))
|
||||
}
|
||||
})
|
||||
|
||||
# Skripte werden NICHT beim App-Start gesourct, nur beim Klick auf "Auswerten".
|
||||
ergebnis_r = eventReactive(input$btn_suchen, {
|
||||
|
||||
chiffre_roh = input$chiffre
|
||||
if (is.null(chiffre_roh) || (nchar(trimws(input$pseudonym)) == 0 && nchar(trimws(chiffre_roh)) == 0)) {
|
||||
return(list(typ = "leere_eingabe", meldung = "Bitte Chiffre eingeben."))
|
||||
}
|
||||
|
||||
chiffre = toupper(trimws(input$chiffre))
|
||||
if (!(nchar(trimws(input$pseudonym)) > 0 || grepl("^[A-Z][0-9]{6}$", chiffre))) {
|
||||
return(list(
|
||||
typ = "format_fehler", chiffre = chiffre,
|
||||
meldung = "Chiffre-Format ungültig (erwartet: Buchstabe + 6 Ziffern, z. B. P000123)."
|
||||
))
|
||||
}
|
||||
|
||||
if (!file.exists(PFAD_DOWNLOAD_SKRIPT)) {
|
||||
return(list(typ = "pfad_fehler",
|
||||
meldung = paste0("Download-Skript nicht gefunden unter:\n", PFAD_DOWNLOAD_SKRIPT)))
|
||||
}
|
||||
if (!file.exists(PFAD_PSEUDONYM_SKRIPT)) {
|
||||
return(list(typ = "pfad_fehler",
|
||||
meldung = paste0("Pseudonym-Skript nicht gefunden unter:\n", PFAD_PSEUDONYM_SKRIPT)))
|
||||
}
|
||||
|
||||
ok_download = tryCatch({
|
||||
source(PFAD_DOWNLOAD_SKRIPT, local = FALSE)
|
||||
list(ok = TRUE)
|
||||
}, error = function(e) list(ok = FALSE, msg = e$message))
|
||||
if (!ok_download$ok) {
|
||||
return(list(typ = "skript_fehler",
|
||||
meldung = paste0("Fehler im Download-Skript: ", ok_download$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))
|
||||
on.exit(setwd(alter_wd), add = TRUE)
|
||||
setwd(wd_ziel)
|
||||
|
||||
ok_pseudo = 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$message))
|
||||
if (!ok_pseudo$ok) {
|
||||
return(list(typ = "skript_fehler",
|
||||
meldung = paste0("Fehler im Pseudonym-Skript: ", ok_pseudo$msg)))
|
||||
}
|
||||
|
||||
if (!exists("daten_faspv", envir = .GlobalEnv)) {
|
||||
return(list(typ = "objekt_fehler",
|
||||
meldung = "Objekt 'daten_faspv' wurde nach dem Sourcen des Download-Skripts nicht gefunden."))
|
||||
}
|
||||
if (!exists("pseudo", envir = .GlobalEnv)) {
|
||||
return(list(typ = "objekt_fehler",
|
||||
meldung = "Objekt 'pseudo' wurde nach dem Sourcen des Pseudonym-Skripts nicht gefunden."))
|
||||
}
|
||||
|
||||
daten = get("daten_faspv", envir = .GlobalEnv)
|
||||
pseudo_df = get("pseudo", envir = .GlobalEnv)
|
||||
|
||||
treffer_pseudo = pseudo_df[pseudo_df$chiffre == chiffre, ]
|
||||
if (nrow(treffer_pseudo) == 0) {
|
||||
return(list(typ = "chiffre_unbekannt",
|
||||
meldung = "Keine Zuordnung für diese Chiffre gefunden."))
|
||||
}
|
||||
|
||||
alle_pseudonyme = unique(treffer_pseudo$pseudonym)
|
||||
if (nchar(trimws(input$pseudonym)) > 0) alle_pseudonyme = trimws(input$pseudonym)
|
||||
treffer_daten = daten[daten$session %in% alle_pseudonyme, ]
|
||||
if (nrow(treffer_daten) == 0) {
|
||||
return(list(typ = "kein_datensatz",
|
||||
meldung = "Für dieses Pseudonym liegen keine FAS-PV-Daten vor."))
|
||||
}
|
||||
|
||||
n_treffer = nrow(treffer_daten)
|
||||
if (n_treffer > 1) {
|
||||
treffer_daten = treffer_daten[order(treffer_daten$created, decreasing = TRUE), ]
|
||||
}
|
||||
zeile = treffer_daten[1, , drop = FALSE]
|
||||
|
||||
# ANNAHME: 'created' ist das (Erst-)Ausfuelldatum; Format bei echten Daten
|
||||
# verifizieren (siehe str(daten_faspv$created)), Fallback bei Parsing-Fehler.
|
||||
ausfuelldatum = tryCatch(
|
||||
format(as.POSIXct(zeile[["created"]][1]), "%d.%m.%Y"),
|
||||
error = function(e) format(Sys.Date(), "%d.%m.%Y")
|
||||
)
|
||||
|
||||
warnung_mehrfach = NULL
|
||||
if (n_treffer > 1) {
|
||||
warnung_mehrfach = paste0(
|
||||
"Mehrere Ausfüllungen gefunden, es wird die neueste vom ",
|
||||
ausfuelldatum, " angezeigt."
|
||||
)
|
||||
}
|
||||
|
||||
geschlecht_text = faspv_get_label_text(daten[["fas_geschlecht"]], zeile[["fas_geschlecht"]])
|
||||
beziehung_text = faspv_get_label_text(daten[["fas_beziehung"]], zeile[["fas_beziehung"]])
|
||||
beziehung_andere = NULL
|
||||
if (!is.na(beziehung_text) && tolower(beziehung_text) == "andere/r") {
|
||||
roh = zeile[["fas_beziehung_andere_text"]][1]
|
||||
if (!is.null(roh) && !is.na(roh) && nchar(trimws(as.character(roh))) > 0) {
|
||||
beziehung_andere = trimws(as.character(roh))
|
||||
}
|
||||
}
|
||||
|
||||
# Teil I: unverrechnete Symptom-Checkliste, nur Kontextanzeige.
|
||||
zg_vars = paste0("fas_t1_zg_", sprintf("%02d", 1:8))
|
||||
zh_vars = paste0("fas_t1_zh_", sprintf("%02d", 1:7))
|
||||
|
||||
teil1_zg = data.frame(
|
||||
var = zg_vars,
|
||||
text = sapply(zg_vars, function(v) clean_item_label(attr(daten[[v]], "label"))),
|
||||
angekreuzt = sapply(zg_vars, function(v) faspv_ist_angekreuzt(zeile[[v]])),
|
||||
stringsAsFactors = FALSE
|
||||
)
|
||||
teil1_zh = data.frame(
|
||||
var = zh_vars,
|
||||
text = sapply(zh_vars, function(v) clean_item_label(attr(daten[[v]], "label"))),
|
||||
angekreuzt = sapply(zh_vars, function(v) faspv_ist_angekreuzt(zeile[[v]])),
|
||||
stringsAsFactors = FALSE
|
||||
)
|
||||
|
||||
# Teil II: 19 Items, Stufen 0-4 aus dem labels-Attribut abgeleitet, Summe = Gesamtscore.
|
||||
ii_vars = paste0("fas_ii_", sprintf("%02d", 1:19))
|
||||
items = data.frame(nr = 1:19, var = ii_vars, stringsAsFactors = FALSE)
|
||||
items$text = sapply(ii_vars, function(v) clean_item_label(attr(daten[[v]], "label")))
|
||||
items$stufe = NA_integer_
|
||||
items$anker = NA_character_
|
||||
label_warnungen = character(0)
|
||||
for (i in seq_len(nrow(items))) {
|
||||
v = items$var[i]
|
||||
erg_item = faspv_teil2_item(daten[[v]], zeile[[v]])
|
||||
items$stufe[i] = erg_item$stufe
|
||||
items$anker[i] = erg_item$anker
|
||||
if (!is.null(erg_item$warnung)) {
|
||||
label_warnungen = c(label_warnungen, paste0(v, ": ", erg_item$warnung))
|
||||
}
|
||||
}
|
||||
label_warnungen = unique(label_warnungen)
|
||||
|
||||
# Anzeigereihenfolge nach Stufenwert absteigend (staerkste Belastung zuerst),
|
||||
# unbeantwortete Items (Stufe NA) ans Ende; die Original-Itemnummer (nr) bleibt
|
||||
# am Item erhalten, nur die Reihenfolge in der Liste aendert sich.
|
||||
items = items[order(-items$stufe, items$nr, na.last = TRUE), ]
|
||||
|
||||
gesamtscore = sum(items$stufe, na.rm = TRUE)
|
||||
|
||||
list(
|
||||
typ = "ok",
|
||||
chiffre = chiffre,
|
||||
ausfuelldatum = ausfuelldatum,
|
||||
warnung_mehrfach = warnung_mehrfach,
|
||||
label_warnungen = if (length(label_warnungen) > 0) label_warnungen else NULL,
|
||||
geschlecht_text = geschlecht_text,
|
||||
beziehung_text = beziehung_text,
|
||||
beziehung_andere = beziehung_andere,
|
||||
teil1_zg = teil1_zg,
|
||||
teil1_zh = teil1_zh,
|
||||
items = items,
|
||||
gesamtscore = gesamtscore
|
||||
)
|
||||
})
|
||||
|
||||
output$fehler_ui = renderUI({
|
||||
req(input$btn_suchen)
|
||||
d = ergebnis_r()
|
||||
if (d$typ != "ok") div(class = "alert-fehler", d$meldung) else NULL
|
||||
})
|
||||
|
||||
output$warnung_ui = renderUI({
|
||||
req(input$btn_suchen)
|
||||
d = ergebnis_r()
|
||||
if (d$typ != "ok") return(NULL)
|
||||
meldungen = c(d$warnung_mehrfach, d$label_warnungen)
|
||||
if (length(meldungen) == 0) return(NULL)
|
||||
tagList(lapply(meldungen, function(m) div(class = "alert-warnung", m)))
|
||||
})
|
||||
|
||||
output$ergebnis_ui = renderUI({
|
||||
req(input$btn_suchen)
|
||||
d = ergebnis_r()
|
||||
if (d$typ != "ok") return(NULL)
|
||||
|
||||
beziehung_anzeige = if (is.na(d$beziehung_text)) "k. A." else {
|
||||
if (!is.null(d$beziehung_andere) && nchar(d$beziehung_andere) > 0)
|
||||
paste0(d$beziehung_text, " (", d$beziehung_andere, ")")
|
||||
else d$beziehung_text
|
||||
}
|
||||
|
||||
zg_angekreuzt = d$teil1_zg[d$teil1_zg$angekreuzt, ]
|
||||
zh_angekreuzt = d$teil1_zh[d$teil1_zh$angekreuzt, ]
|
||||
|
||||
items_ui = lapply(seq_len(nrow(d$items)), function(i) {
|
||||
it = d$items[i, ]
|
||||
sk = if (!is.na(it$stufe) && it$stufe >= 0 && it$stufe <= 4) as.character(it$stufe) else "0"
|
||||
anker_txt = if (!is.na(it$anker)) it$anker else "k. A."
|
||||
div(class = "item-zeile",
|
||||
div(class = "item-nr", paste0(it$nr, ".")),
|
||||
div(class = "item-text", it$text),
|
||||
span(class = paste0("stufe-badge stufe-badge-", sk), anker_txt)
|
||||
)
|
||||
})
|
||||
|
||||
div(class = "abschnitt-karte",
|
||||
div(class = "abschnitt-titel", "FAS-PV Auswertung"),
|
||||
|
||||
div(class = "meta-block",
|
||||
tags$strong("Chiffre: "), d$chiffre,
|
||||
tags$span(" | ", style = "color:#ccc;"),
|
||||
tags$strong("Ausfülldatum: "), d$ausfuelldatum
|
||||
),
|
||||
div(class = "kontext-zeile",
|
||||
div(class = "kontext-label", "Geschlecht (Angehörige/r):"),
|
||||
div(if (is.na(d$geschlecht_text)) "k. A." else d$geschlecht_text)
|
||||
),
|
||||
div(class = "kontext-zeile",
|
||||
div(class = "kontext-label", "Beziehung zur Patientin/zum Patienten:"),
|
||||
div(beziehung_anzeige)
|
||||
),
|
||||
|
||||
tags$hr(),
|
||||
|
||||
tags$h5("Gesamtscore (Teil II)"),
|
||||
fluidRow(
|
||||
column(3,
|
||||
div(
|
||||
div(class = "score-zahl", d$gesamtscore),
|
||||
div(paste0("Gesamtscore (0-", FASPV_SCORE_MAX, ")"), style = "color:#555;")
|
||||
)
|
||||
),
|
||||
column(9, plotOutput("gauge_plot", height = "160px"))
|
||||
),
|
||||
div(class = "cutoff-info", FASPV_GAUGE_HINWEIS),
|
||||
|
||||
tags$hr(),
|
||||
|
||||
div(class = "abschnitt-titel", "Berichtete Zwangssymptome (Teil I, unverrechnet)"),
|
||||
div(class = "teil1-hinweis", "Diese Angaben fliessen nicht in den Gesamtscore ein."),
|
||||
fluidRow(
|
||||
column(6,
|
||||
tags$h5("Zwangsgedanken"),
|
||||
if (nrow(zg_angekreuzt) == 0)
|
||||
div(class = "teil1-leer", "Keine Angabe")
|
||||
else
|
||||
tags$ul(class = "teil1-liste", lapply(zg_angekreuzt$text, tags$li))
|
||||
),
|
||||
column(6,
|
||||
tags$h5("Zwangshandlungen"),
|
||||
if (nrow(zh_angekreuzt) == 0)
|
||||
div(class = "teil1-leer", "Keine Angabe")
|
||||
else
|
||||
tags$ul(class = "teil1-liste", lapply(zh_angekreuzt$text, tags$li))
|
||||
)
|
||||
),
|
||||
|
||||
tags$hr(),
|
||||
|
||||
tags$h5("Teil II – Einzelitems"),
|
||||
div(items_ui)
|
||||
)
|
||||
})
|
||||
|
||||
output$gauge_plot = renderPlot({
|
||||
req(input$btn_suchen)
|
||||
d = ergebnis_r()
|
||||
req(identical(d$typ, "ok"))
|
||||
make_gauge_faspv(d$gesamtscore)
|
||||
}, bg = "transparent")
|
||||
|
||||
output$download_word = downloadHandler(
|
||||
filename = function() {
|
||||
erg = tryCatch(ergebnis_r(), error = function(e) NULL)
|
||||
ok = is.list(erg) && identical(erg$typ, "ok")
|
||||
chiffre_esc = if (ok) erg$chiffre else "export"
|
||||
ausfuelldatum_fn = if (ok && !is.null(erg$ausfuelldatum)) {
|
||||
tryCatch(
|
||||
format(as.Date(erg$ausfuelldatum, "%d.%m.%Y"), "%Y%m%d"),
|
||||
error = function(e) format(Sys.Date(), "%Y%m%d")
|
||||
)
|
||||
} else {
|
||||
format(Sys.Date(), "%Y%m%d")
|
||||
}
|
||||
paste0("FASPV_", chiffre_esc, "_", ausfuelldatum_fn, ".docx")
|
||||
},
|
||||
content = function(file) {
|
||||
erg = tryCatch(ergebnis_r(), error = function(e) NULL)
|
||||
daten_ok = is.list(erg) && identical(erg$typ, "ok")
|
||||
if (!daten_ok) {
|
||||
doc = read_docx()
|
||||
doc = body_add_par(doc,
|
||||
"Kein Datensatz geladen. Bitte zuerst Chiffre eingeben und 'Auswerten' klicken.",
|
||||
style = "Normal")
|
||||
print(doc, target = file)
|
||||
return()
|
||||
}
|
||||
doc = tryCatch(
|
||||
erstelle_faspv_docx(erg),
|
||||
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)
|
||||
Loading…
Add table
Add a link
Reference in a new issue