849 lines
33 KiB
R
849 lines
33 KiB
R
# Praembel ####
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PFAD_DOWNLOAD_SKRIPT = "../API/get_data_itq.R"
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PFAD_PSEUDONYM_SKRIPT = "../get_pseudo.R"
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AKZENT_FARBE = "#8B2635"
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ITQ_DISCLAIMER = paste0(
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"Diese Auswertung ist ein Hilfsmittel fuer klinisches Fachpersonal und ersetzt keine ",
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"klinische Diagnose. Der diagnostische Algorithmus folgt Cloitre et al. (2018) / deutsche ",
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"Version Lueger-Schuster, Knefel, Maercker. Die Interpretation obliegt der behandelnden Person."
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)
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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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# Infrastruktur ####
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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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# Helper ####
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# Extrahiert die Stufe 0-4 ausschliesslich aus dem fuehrenden Zeichen im
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# Label-Text (z.B. "0) Gar nicht" -> 0L). Nie aus dem rohen Zahlenwert,
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# da 1-Indizierung nicht verifiziert (TODO VERIFIZIEREN: ob raw==1 wirklich
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# Stufe 0 bedeutet, analog BDI-II-Erfahrung in dieser Installation).
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hole_stufe = function(spalte, wert) {
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lab = attr(spalte, "labels")
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if (is.null(lab) || is.na(wert)) return(NA_integer_)
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treffer = names(lab)[lab == wert]
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if (length(treffer) == 0) return(NA_integer_)
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treffer = gsub("\\*\\*", "", treffer[1])
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as.integer(gsub("^([0-9]+)\\).*", "\\1", treffer))
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}
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hole_fragetext = function(spalte) {
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lab = attr(spalte, "label")
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if (is.null(lab)) return(NA_character_)
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gsub("\\*\\*", "", lab)
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}
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hole_zeit_text = function(spalte, wert) {
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lab = attr(spalte, "labels")
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if (is.null(lab) || is.na(wert)) return(NA_character_)
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treffer = names(lab)[lab == wert]
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if (length(treffer) == 0) return(NA_character_)
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gsub("\\*\\*", "", treffer[1])
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}
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# Gibt farbige HTML-Badges fuer Stufen 0-4 zurueck.
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stufe_badge_html = function(stufe) {
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sk = if (!is.na(stufe) && stufe >= 0L && stufe <= 4L) as.character(stufe) else NA
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if (is.na(sk)) return(span(class = "stufe-badge stufe-badge-na", "?"))
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span(class = paste0("stufe-badge stufe-badge-", sk), sk)
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}
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# Prueft ob ein logischer Vektorwert (moeglicherweise NA) ein Kriterium erfuellt.
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kriterium_status = function(val) {
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if (is.na(val)) "unbekannt" else if (isTRUE(val)) "erfuellt" else "nicht erfuellt"
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}
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kriterium_farbe = function(val) {
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if (is.na(val)) "#888888" else if (isTRUE(val)) "#2E7D32" else "#9E9E9E"
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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; border-left: 6px solid;
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}
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.diagnose-box-keine { background: #F5F5F5; border-color: #9E9E9E; color: #424242; }
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.diagnose-box-ptbs { background: #FFF3E0; border-color: #E65100; color: #BF360C; }
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.diagnose-box-kptbs { background: #FFEBEE; border-color: #B71C1C; color: #7f0000; }
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.diagnose-box-unvoll { background: #EDE7F6; border-color: #7E57C2; color: #4527A0; }
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.diagnose-titel { font-weight: 700; font-size: 1.25rem; margin-bottom: 4px; }
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.diagnose-quelle { font-size: 0.82em; color: #888; font-style: italic; margin-top: 6px; }
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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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.kriterien-tabelle { width: 100%; border-collapse: collapse; margin-bottom: 8px; }
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.kriterien-tabelle th {
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text-align: left; padding: 6px 10px; font-size: 0.88em;
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background: #f9f9f9; border-bottom: 2px solid #eee; color: #555;
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}
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.kriterien-tabelle td { padding: 6px 10px; border-bottom: 1px solid #f0f0f0; font-size: 0.9em; }
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.kriterium-erfuellt { color: #2E7D32; font-weight: 700; }
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.kriterium-nicht { color: #9E9E9E; font-weight: 400; }
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.kriterium-unbekannt { color: #888888; font-weight: 400; }
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.dim-wert-zeile {
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display: flex; align-items: center; gap: 12px;
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padding: 5px 0; border-bottom: 1px solid #f0f0f0; font-size: 0.92em;
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}
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.dim-wert-label { min-width: 160px; font-weight: 600; color: #444; }
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.dim-wert-zahl { font-size: 1.1rem; font-weight: 700; color: #8B2635; min-width: 28px; }
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.dim-wert-bar-wrap { flex: 1; background: #f0f0f0; border-radius: 4px; height: 10px; max-width: 200px; }
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.dim-wert-bar { background: #8B2635; border-radius: 4px; height: 10px; }
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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: 36px; 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-na { background: #BDBDBD; color: #333; }
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.stufe-badge-0 { background: #4CAF50; color: white; }
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.stufe-badge-1 { background: #C8E6C9; color: #333333; }
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.stufe-badge-2 { background: #FFCDD2; color: #B71C1C; }
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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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"
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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("ITQ - Internationales Trauma Questionnaire"),
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tags$p("Cloitre et al. 2018 | dt. Version Lueger-Schuster, Knefel, Maercker")
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),
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div(class = "container-fluid",
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div(class = "input-panel",
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div(style = "min-width: 360px; white-space: nowrap;",
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textInput("pseudonym",
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label = tagList(
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"Pseudonym",
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tags$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_itq_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_disclaimer = fp_text(font.size = 9, italic = TRUE, color = "#777777")
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# Diagnose-Farben fuer Word
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dx_farben = list(
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"KPTBS" = list(bg = "#FFEBEE", text = "#7f0000"),
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"PTBS" = list(bg = "#FFF3E0", text = "#BF360C"),
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"Keine Diagnose erfuellt" = list(bg = "#F5F5F5", text = "#424242"),
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"Unvollstaendig" = list(bg = "#EDE7F6", text = "#4527A0")
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)
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dx_key = erg$diagnose
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dx_col = if (!is.null(dx_farben[[dx_key]])) dx_farben[[dx_key]] else dx_farben[["Keine Diagnose erfuellt"]]
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fp_dx = fp_text(bold = TRUE, font.size = 14, color = dx_col$text, shading.color = dx_col$bg)
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# Badge-Farben (Hintergrund, Schrift) fuer Stufen 0-4
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badge_bg = c("0" = "#4CAF50", "1" = "#C8E6C9", "2" = "#FFCDD2", "3" = "#EF5350", "4" = "#4A0000")
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badge_text = c("0" = "white", "1" = "#333333", "2" = "#B71C1C", "3" = "white", "4" = "white")
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# Titel + Metadaten
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doc = body_add_fpar(doc, fpar(ftext("ITQ - Internationales Trauma Questionnaire", fp_titel)))
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doc = body_add_fpar(doc, fpar(
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ftext("Chiffre: ", fp_label), ftext(erg$chiffre, fp_normal),
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ftext(" Datum: ", fp_label), ftext(erg$ausfuelldatum, fp_normal)
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))
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doc = body_add_par(doc, "", style = "Normal")
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# Kontext
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doc = body_add_fpar(doc, fpar(ftext("Belastende Lebenserfahrung", fp_abschnitt)))
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doc = body_add_fpar(doc, fpar(
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ftext("Erfahrung: ", fp_label),
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ftext(if (is.na(erg$lebenserfahrung_text) || erg$lebenserfahrung_text == "")
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"k. A." else erg$lebenserfahrung_text, fp_normal)
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))
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doc = body_add_fpar(doc, fpar(
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ftext("Zeitangabe: ", fp_label),
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ftext(if (is.na(erg$lebenserfahrung_zeit_text)) "k. A." else erg$lebenserfahrung_zeit_text, fp_normal)
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))
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doc = body_add_par(doc, "", style = "Normal")
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# Diagnose
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doc = body_add_fpar(doc, fpar(ftext("Diagnostisches Ergebnis", fp_abschnitt)))
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doc = body_add_fpar(doc, fpar(ftext(erg$diagnose, fp_dx)))
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doc = body_add_fpar(doc, fpar(
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ftext("Algorithmus nach Cloitre et al., 2018",
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fp_text(font.size = 9, italic = TRUE, color = "#888888"))
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))
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doc = body_add_par(doc, "", style = "Normal")
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# Kriterien PTBS
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doc = body_add_fpar(doc, fpar(ftext("PTBS-Kriterien", fp_abschnitt)))
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kriterien_ptbs = list(
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list(name = "Re-Erleben (Re_dx)", val = erg$re_dx, items = "P1, P2"),
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list(name = "Vermeidung (Av_dx)", val = erg$av_dx, items = "P3, P4"),
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list(name = "Bedrohungswahrn. (Th_dx)", val = erg$th_dx, items = "P5, P6"),
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list(name = "Funktionsbeeintracht. (PTBSFI)", val = erg$ptbsfi, items = "P7, P8, P9")
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)
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for (kr in kriterien_ptbs) {
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status_txt = if (is.na(kr$val)) "unbekannt" else if (isTRUE(kr$val)) "erfuellt" else "nicht erfuellt"
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status_col = if (is.na(kr$val)) "#888888" else if (isTRUE(kr$val)) "#2E7D32" else "#9E9E9E"
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doc = body_add_fpar(doc, fpar(
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ftext(paste0(kr$name, " (", kr$items, "): "), fp_normal),
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ftext(status_txt, fp_text(font.size = 11, bold = TRUE, color = status_col))
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))
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}
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doc = body_add_par(doc, "", style = "Normal")
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# Kriterien DSO
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doc = body_add_fpar(doc, fpar(ftext("DSO-Kriterien", fp_abschnitt)))
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kriterien_dso = list(
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list(name = "Affektdysreg. (AD_dx)", val = erg$ad_dx, items = "C1, C2"),
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list(name = "Neg. Selbstkonzept (NSC_dx)", val = erg$nsc_dx, items = "C3, C4"),
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list(name = "Beziehungsst. (DR_dx)", val = erg$dr_dx, items = "C5, C6"),
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list(name = "Funktionsbeeintracht. (DSOFI)", val = erg$dsofi, items = "C7, C8, C9")
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)
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for (kr in kriterien_dso) {
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status_txt = if (is.na(kr$val)) "unbekannt" else if (isTRUE(kr$val)) "erfuellt" else "nicht erfuellt"
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status_col = if (is.na(kr$val)) "#888888" else if (isTRUE(kr$val)) "#2E7D32" else "#9E9E9E"
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doc = body_add_fpar(doc, fpar(
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ftext(paste0(kr$name, " (", kr$items, "): "), fp_normal),
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ftext(status_txt, fp_text(font.size = 11, bold = TRUE, color = status_col))
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))
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}
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doc = body_add_par(doc, "", style = "Normal")
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# Dimensionale Werte
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doc = body_add_fpar(doc, fpar(ftext("Dimensionale Werte (Rohwerte)", fp_abschnitt)))
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dim_zeilen = list(
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list(label = "Re-Erleben (Re)", val = erg$re, max = 8),
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list(label = "Vermeidung (Av)", val = erg$av, max = 8),
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list(label = "Bedrohungswahrnehmung (Th)", val = erg$th, max = 8),
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list(label = "PTBS-Summenwert", val = erg$ptbs_wert, max = 24),
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list(label = "Affektdysregulation (AD)", val = erg$ad, max = 8),
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list(label = "Neg. Selbstkonzept (NSC)", val = erg$nsc, max = 8),
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list(label = "Beziehungsstorungen (DR)", val = erg$dr, max = 8),
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list(label = "DSO-Summenwert", val = erg$dso_wert, max = 24)
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)
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for (dz in dim_zeilen) {
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val_txt = if (is.na(dz$val)) "k. A." else paste0(dz$val, " / ", dz$max)
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doc = body_add_fpar(doc, fpar(
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ftext(paste0(dz$label, ": "), fp_label),
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ftext(val_txt, fp_normal)
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))
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}
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doc = body_add_par(doc, "", style = "Normal")
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# Itemliste PTBS
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doc = body_add_fpar(doc, fpar(ftext("PTBS-Items (P1-P9)", fp_abschnitt)))
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for (i in seq_along(erg$p_stufen)) {
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stufe = erg$p_stufen[i]
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sk = if (!is.na(stufe) && stufe >= 0L && stufe <= 4L) as.character(stufe) else NA
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item_txt = if (!is.na(erg$p_texte[i])) erg$p_texte[i] else paste0("P", i)
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badge_txt = if (is.na(sk)) "?" else sk
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fp_badge = fp_text(
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bold = TRUE, font.size = 10,
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color = if (is.na(sk)) "#333" else badge_text[[sk]],
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shading.color = if (is.na(sk)) "#BDBDBD" else badge_bg[[sk]]
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)
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doc = body_add_fpar(doc, fpar(
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ftext(paste0("P", i, ". ", item_txt, " "), fp_normal),
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ftext(paste0(" ", badge_txt, " "), fp_badge)
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))
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}
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doc = body_add_par(doc, "", style = "Normal")
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# Itemliste DSO
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doc = body_add_fpar(doc, fpar(ftext("DSO-Items (C1-C9)", fp_abschnitt)))
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for (i in seq_along(erg$c_stufen)) {
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stufe = erg$c_stufen[i]
|
|
sk = if (!is.na(stufe) && stufe >= 0L && stufe <= 4L) as.character(stufe) else NA
|
|
item_txt = if (!is.na(erg$c_texte[i])) erg$c_texte[i] else paste0("C", i)
|
|
badge_txt = if (is.na(sk)) "?" else sk
|
|
fp_badge = fp_text(
|
|
bold = TRUE, font.size = 10,
|
|
color = if (is.na(sk)) "#333" else badge_text[[sk]],
|
|
shading.color = if (is.na(sk)) "#BDBDBD" else badge_bg[[sk]]
|
|
)
|
|
doc = body_add_fpar(doc, fpar(
|
|
ftext(paste0("C", i, ". ", item_txt, " "), fp_normal),
|
|
ftext(paste0(" ", badge_txt, " "), fp_badge)
|
|
))
|
|
}
|
|
|
|
doc = body_add_par(doc, "", style = "Normal")
|
|
doc = body_add_fpar(doc, fpar(ftext(ITQ_DISCLAIMER, fp_disclaimer)))
|
|
|
|
doc
|
|
}
|
|
|
|
|
|
# Server ####
|
|
|
|
server = function(input, output, session) {
|
|
# --- pseudonym-support-injection v1 ---
|
|
observe({
|
|
query = parseQueryString(session$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$chiffre)))
|
|
}
|
|
})
|
|
|
|
ergebnis_r = eventReactive(input$btn_suchen, {
|
|
|
|
# 1. Chiffre einlesen und validieren
|
|
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 '", chiffre,
|
|
"'. Erwartet: ein Grossbuchstabe + 6 Ziffern (z.B. P000123).")))
|
|
|
|
# 2. Skriptpfade pruefen
|
|
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)))
|
|
|
|
# 3. Download-Skript sourcen
|
|
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$msg)))
|
|
|
|
# 4. pseudonyme.db suchen (bis 5 Ebenen nach oben)
|
|
db_ordner = local({
|
|
ordner = dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
|
|
gefunden = NULL
|
|
for (i in 1:5) {
|
|
if (file.exists(file.path(ordner, "pseudonyme.db"))) { gefunden = ordner; break }
|
|
elternteil = dirname(ordner)
|
|
if (elternteil == ordner) break
|
|
ordner = elternteil
|
|
}
|
|
gefunden
|
|
})
|
|
|
|
# 5. setwd + Pseudonym-Skript sourcen
|
|
alter_wd = getwd()
|
|
on.exit(setwd(alter_wd), add = TRUE)
|
|
wd_ziel = if (!is.null(db_ordner)) db_ordner else
|
|
dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
|
|
setwd(wd_ziel)
|
|
|
|
res_ps = tryCatch(
|
|
{ source(PFAD_PSEUDONYM_SKRIPT, local = FALSE)
|
|
if (nchar(trimws(input$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)))
|
|
|
|
# 6. Existenzpruefung
|
|
if (!exists("daten_itq", envir = .GlobalEnv))
|
|
return(list(error = paste0(
|
|
"Objekt 'daten_itq' 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_itq", envir = .GlobalEnv)
|
|
pseudo_df = get("pseudo", envir = .GlobalEnv)
|
|
|
|
# 7. Chiffre-Lookup in pseudo
|
|
treffer_ps = pseudo_df[toupper(trimws(pseudo_df$chiffre)) == chiffre, ]
|
|
if (nrow(treffer_ps) == 0)
|
|
return(list(error = paste0(
|
|
"Chiffre '", chiffre, "' wurde in der Pseudonym-Datenbank nicht gefunden.")))
|
|
|
|
warnung_mehrfach_pseudo = nrow(treffer_ps) > 1
|
|
zeile_ps = treffer_ps[1, , drop = FALSE]
|
|
pseudonym = zeile_ps$pseudonym[1]
|
|
if (nchar(trimws(input$pseudonym)) > 0) pseudonym = trimws(input$pseudonym)
|
|
|
|
# Daten-Lookup
|
|
# TODO VERIFIZIEREN: Spaltenname 'session' aus frueheren Apps dieser Installation
|
|
# uebernommen, noch nicht am echten ITQ-Export geprueft.
|
|
treffer_dat = daten[daten$session == pseudonym, ]
|
|
if (nrow(treffer_dat) == 0)
|
|
return(list(error = paste0(
|
|
"Kein ITQ-Datensatz fuer Chiffre '", chiffre, "' gefunden.")))
|
|
|
|
warnung_mehrfach_ausgefuellt = nrow(treffer_dat) > 1
|
|
if (nrow(treffer_dat) > 1) {
|
|
treffer_dat = treffer_dat[order(treffer_dat$created, decreasing = TRUE), ]
|
|
treffer_dat = treffer_dat[1, , drop = FALSE]
|
|
}
|
|
|
|
zeile = treffer_dat[1, , drop = FALSE]
|
|
|
|
# Ausfuelldatum parsen
|
|
# TODO VERIFIZIEREN: Typ von 'created' kann POSIXct oder character sein.
|
|
ausfuelldatum = tryCatch(
|
|
format(as.Date(as.POSIXct(zeile[["created"]][1])), "%d.%m.%Y"),
|
|
error = function(e) tryCatch(
|
|
format(as.Date(zeile[["created"]][1]), "%d.%m.%Y"),
|
|
error = function(e2) format(Sys.Date(), "%d.%m.%Y")
|
|
)
|
|
)
|
|
|
|
# Kontext
|
|
lebenserfahrung_text = tryCatch(as.character(zeile[["lebenserfahrung_text"]][1]),
|
|
error = function(e) NA_character_)
|
|
lebenserfahrung_zeit_text = hole_zeit_text(
|
|
daten[["lebenserfahrung_zeit"]],
|
|
zeile[["lebenserfahrung_zeit"]][1]
|
|
)
|
|
|
|
# Stufen und Fragetexte P1-P9 (immer aus Original-Spaltenobjekt lesen)
|
|
p_stufen = sapply(paste0("p", 1:9), function(v)
|
|
hole_stufe(daten[[v]], zeile[[v]][1]))
|
|
p_texte = sapply(paste0("p", 1:9), function(v)
|
|
hole_fragetext(daten[[v]]))
|
|
|
|
# Stufen und Fragetexte C1-C9
|
|
c_stufen = sapply(paste0("c", 1:9), function(v)
|
|
hole_stufe(daten[[v]], zeile[[v]][1]))
|
|
c_texte = sapply(paste0("c", 1:9), function(v)
|
|
hole_fragetext(daten[[v]]))
|
|
|
|
# Diagnostik-Algorithmus (ITQ Manual, Seite 4, Cloitre et al. 2018).
|
|
# NA-Werte propagieren zu NA, nicht stillschweigend FALSE.
|
|
re_dx = (p_stufen[1] >= 2) | (p_stufen[2] >= 2)
|
|
av_dx = (p_stufen[3] >= 2) | (p_stufen[4] >= 2)
|
|
th_dx = (p_stufen[5] >= 2) | (p_stufen[6] >= 2)
|
|
ptbsfi = (p_stufen[7] >= 2) | (p_stufen[8] >= 2) | (p_stufen[9] >= 2)
|
|
|
|
ad_dx = (c_stufen[1] >= 2) | (c_stufen[2] >= 2)
|
|
nsc_dx = (c_stufen[3] >= 2) | (c_stufen[4] >= 2)
|
|
dr_dx = (c_stufen[5] >= 2) | (c_stufen[6] >= 2)
|
|
dsofi = (c_stufen[7] >= 2) | (c_stufen[8] >= 2) | (c_stufen[9] >= 2)
|
|
|
|
ptbs_kriterien = re_dx & av_dx & th_dx & ptbsfi
|
|
dso_kriterien = ad_dx & nsc_dx & dr_dx & dsofi
|
|
|
|
# Unvollstaendigkeit: Kriterium kann nicht bewertet werden
|
|
irgendein_na = anyNA(c(re_dx, av_dx, th_dx, ptbsfi, ad_dx, nsc_dx, dr_dx, dsofi))
|
|
|
|
diagnose = if (is.na(ptbs_kriterien) || is.na(dso_kriterien)) {
|
|
# Partial: wenn eindeutig positiv oder negativ, trotzdem verwenden
|
|
ptbs_pos = isTRUE(ptbs_kriterien)
|
|
dso_pos = isTRUE(dso_kriterien)
|
|
ptbs_nein = isFALSE(ptbs_kriterien)
|
|
if (ptbs_pos && dso_pos) "KPTBS"
|
|
else if (ptbs_pos) "Unvollstaendig"
|
|
else if (ptbs_nein) "Keine Diagnose erfuellt"
|
|
else "Unvollstaendig"
|
|
} else {
|
|
if (isTRUE(ptbs_kriterien) && isTRUE(dso_kriterien)) "KPTBS"
|
|
else if (isTRUE(ptbs_kriterien)) "PTBS"
|
|
else "Keine Diagnose erfuellt"
|
|
# Manual-Hinweis: nur DSO erfuellt ohne PTBS -> keine Diagnose (s.o.)
|
|
}
|
|
|
|
# Dimensionale Werte (Rohwerte 0-8 je Subskala, 0-24 Gesamt)
|
|
re = if (anyNA(p_stufen[1:2])) NA_integer_ else sum(p_stufen[1:2])
|
|
av = if (anyNA(p_stufen[3:4])) NA_integer_ else sum(p_stufen[3:4])
|
|
th = if (anyNA(p_stufen[5:6])) NA_integer_ else sum(p_stufen[5:6])
|
|
ptbs_wert = if (anyNA(c(re, av, th))) NA_integer_ else re + av + th
|
|
|
|
ad = if (anyNA(c_stufen[1:2])) NA_integer_ else sum(c_stufen[1:2])
|
|
nsc = if (anyNA(c_stufen[3:4])) NA_integer_ else sum(c_stufen[3:4])
|
|
dr = if (anyNA(c_stufen[5:6])) NA_integer_ else sum(c_stufen[5:6])
|
|
dso_wert = if (anyNA(c(ad, nsc, dr))) NA_integer_ else ad + nsc + dr
|
|
|
|
list(
|
|
error = NULL,
|
|
chiffre = chiffre,
|
|
ausfuelldatum = ausfuelldatum,
|
|
lebenserfahrung_text = lebenserfahrung_text,
|
|
lebenserfahrung_zeit_text = lebenserfahrung_zeit_text,
|
|
warnung_mehrfach_pseudo = warnung_mehrfach_pseudo,
|
|
warnung_mehrfach_ausgefuellt = warnung_mehrfach_ausgefuellt,
|
|
p_stufen = p_stufen,
|
|
p_texte = p_texte,
|
|
c_stufen = c_stufen,
|
|
c_texte = c_texte,
|
|
re_dx = re_dx,
|
|
av_dx = av_dx,
|
|
th_dx = th_dx,
|
|
ptbsfi = ptbsfi,
|
|
ad_dx = ad_dx,
|
|
nsc_dx = nsc_dx,
|
|
dr_dx = dr_dx,
|
|
dsofi = dsofi,
|
|
ptbs_kriterien = ptbs_kriterien,
|
|
dso_kriterien = dso_kriterien,
|
|
diagnose = diagnose,
|
|
re = re,
|
|
av = av,
|
|
th = th,
|
|
ptbs_wert = ptbs_wert,
|
|
ad = ad,
|
|
nsc = nsc,
|
|
dr = dr,
|
|
dso_wert = dso_wert
|
|
)
|
|
})
|
|
|
|
output$fehler_ui = renderUI({
|
|
req(input$btn_suchen)
|
|
d = ergebnis_r()
|
|
if (!is.null(d$error)) div(class = "alert-fehler", d$error) else NULL
|
|
})
|
|
|
|
output$warnung_ui = renderUI({
|
|
req(input$btn_suchen)
|
|
d = ergebnis_r()
|
|
if (!is.null(d$error)) return(NULL)
|
|
warnungen = list()
|
|
if (isTRUE(d$warnung_mehrfach_pseudo))
|
|
warnungen = c(warnungen, list(div(class = "alert-warnung",
|
|
tags$strong("Datenintegritaet: "),
|
|
"Diese Chiffre ist in der Pseudonym-Datenbank mehrfach eingetragen. ",
|
|
"Es wird der erste Treffer verwendet. Bitte Datenbank pruefen."
|
|
)))
|
|
if (isTRUE(d$warnung_mehrfach_ausgefuellt))
|
|
warnungen = c(warnungen, list(div(class = "alert-warnung",
|
|
tags$strong("Mehrfach ausgefuellt: "),
|
|
"Fuer diese Person liegen mehrere ITQ-Ausfuellungen vor. ",
|
|
"Angezeigt wird die neueste."
|
|
)))
|
|
if (length(warnungen) == 0) return(NULL)
|
|
tagList(warnungen)
|
|
})
|
|
|
|
output$ergebnis_ui = renderUI({
|
|
req(input$btn_suchen)
|
|
d = ergebnis_r()
|
|
if (!is.null(d$error)) return(NULL)
|
|
|
|
# Diagnose-Box-CSS-Klasse
|
|
dx_klasse = switch(d$diagnose,
|
|
"KPTBS" = "diagnose-box-kptbs",
|
|
"PTBS" = "diagnose-box-ptbs",
|
|
"Keine Diagnose erfuellt" = "diagnose-box-keine",
|
|
"diagnose-box-unvoll"
|
|
)
|
|
|
|
# Kriterien-Tabelle bauen (shared helper)
|
|
kr_zeile = function(name, items, val) {
|
|
status = kriterium_status(val)
|
|
klasse = switch(status,
|
|
"erfuellt" = "kriterium-erfuellt",
|
|
"nicht erfuellt" = "kriterium-nicht",
|
|
"kriterium-unbekannt"
|
|
)
|
|
tags$tr(
|
|
tags$td(name),
|
|
tags$td(items),
|
|
tags$td(class = klasse, status)
|
|
)
|
|
}
|
|
|
|
kriterien_ptbs_tbl = tags$table(class = "kriterien-tabelle",
|
|
tags$thead(tags$tr(
|
|
tags$th("Kriterium"), tags$th("Items"), tags$th("Status")
|
|
)),
|
|
tags$tbody(
|
|
kr_zeile("Re-Erleben (Re_dx)", "P1, P2", d$re_dx),
|
|
kr_zeile("Vermeidung (Av_dx)", "P3, P4", d$av_dx),
|
|
kr_zeile("Bedrohungswahrn. (Th_dx)", "P5, P6", d$th_dx),
|
|
kr_zeile("Funkt.-beeintr. (PTBSFI)", "P7, P8, P9", d$ptbsfi)
|
|
)
|
|
)
|
|
|
|
kriterien_dso_tbl = tags$table(class = "kriterien-tabelle",
|
|
tags$thead(tags$tr(
|
|
tags$th("Kriterium"), tags$th("Items"), tags$th("Status")
|
|
)),
|
|
tags$tbody(
|
|
kr_zeile("Affektdysreg. (AD_dx)", "C1, C2", d$ad_dx),
|
|
kr_zeile("Neg. Selbstkonz. (NSC_dx)", "C3, C4", d$nsc_dx),
|
|
kr_zeile("Beziehungsst. (DR_dx)", "C5, C6", d$dr_dx),
|
|
kr_zeile("Funkt.-beeintr. (DSOFI)", "C7, C8, C9", d$dsofi)
|
|
)
|
|
)
|
|
|
|
# Dimensionale Werte
|
|
dim_balken = function(label, val, max_val) {
|
|
pct = if (!is.na(val)) paste0(round(val / max_val * 100), "%") else "0%"
|
|
val_txt = if (is.na(val)) "k. A." else as.character(val)
|
|
div(class = "dim-wert-zeile",
|
|
div(class = "dim-wert-label", label),
|
|
div(class = "dim-wert-zahl", val_txt),
|
|
div(class = "dim-wert-bar-wrap",
|
|
div(class = "dim-wert-bar", style = paste0("width:", pct, ";"))
|
|
),
|
|
div(style = "font-size:0.8em; color:#999;", paste0("/ ", max_val))
|
|
)
|
|
}
|
|
|
|
dim_ui = tagList(
|
|
dim_balken("Re-Erleben (Re)", d$re, 8),
|
|
dim_balken("Vermeidung (Av)", d$av, 8),
|
|
dim_balken("Bedrohungswahrn. (Th)", d$th, 8),
|
|
tags$div(style = "border-top: 2px solid #eee; margin: 4px 0;"),
|
|
div(class = "dim-wert-zeile",
|
|
div(class = "dim-wert-label", tags$strong("PTBS-Summenwert")),
|
|
div(class = "dim-wert-zahl", style = "font-size:1.3rem;",
|
|
if (is.na(d$ptbs_wert)) "k. A." else d$ptbs_wert),
|
|
div(style = "font-size:0.8em; color:#999;", "/ 24")
|
|
),
|
|
tags$div(style = "border-top: 2px solid #eee; margin: 6px 0 2px;"),
|
|
dim_balken("Affektdysreg. (AD)", d$ad, 8),
|
|
dim_balken("Neg. Selbstkonz. (NSC)", d$nsc, 8),
|
|
dim_balken("Beziehungsst. (DR)", d$dr, 8),
|
|
tags$div(style = "border-top: 2px solid #eee; margin: 4px 0;"),
|
|
div(class = "dim-wert-zeile",
|
|
div(class = "dim-wert-label", tags$strong("DSO-Summenwert")),
|
|
div(class = "dim-wert-zahl", style = "font-size:1.3rem;",
|
|
if (is.na(d$dso_wert)) "k. A." else d$dso_wert),
|
|
div(style = "font-size:0.8em; color:#999;", "/ 24")
|
|
)
|
|
)
|
|
|
|
# Itemlisten
|
|
items_ui_ptbs = lapply(seq_along(d$p_stufen), function(i) {
|
|
div(class = "item-zeile",
|
|
div(class = "item-nr", paste0("P", i, ".")),
|
|
div(class = "item-text",
|
|
if (!is.na(d$p_texte[i])) d$p_texte[i] else paste0("P", i)),
|
|
stufe_badge_html(d$p_stufen[i])
|
|
)
|
|
})
|
|
|
|
items_ui_c = lapply(seq_along(d$c_stufen), function(i) {
|
|
div(class = "item-zeile",
|
|
div(class = "item-nr", paste0("C", i, ".")),
|
|
div(class = "item-text",
|
|
if (!is.na(d$c_texte[i])) d$c_texte[i] else paste0("C", i)),
|
|
stufe_badge_html(d$c_stufen[i])
|
|
)
|
|
})
|
|
|
|
tagList(
|
|
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# 1. Kontext-Block
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div(class = "abschnitt-karte",
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div(class = "abschnitt-titel", "Belastende Lebenserfahrung"),
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div(class = "kontext-zeile",
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div(class = "kontext-label", "Erfahrung:"),
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div(if (is.na(d$lebenserfahrung_text) || d$lebenserfahrung_text == "")
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tags$em("k. A.") else d$lebenserfahrung_text)
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),
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div(class = "kontext-zeile",
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div(class = "kontext-label", "Zeitangabe:"),
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div(if (is.na(d$lebenserfahrung_zeit_text))
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tags$em("k. A.") else d$lebenserfahrung_zeit_text)
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)
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),
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# 2. Diagnose-Block
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div(class = "abschnitt-karte",
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div(class = "abschnitt-titel", "Diagnostisches Ergebnis"),
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div(class = paste0("diagnose-box ", dx_klasse),
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div(class = "diagnose-titel", d$diagnose),
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div(class = "diagnose-quelle", "Algorithmus nach Cloitre et al., 2018"),
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div(class = "diagnose-disclaimer", ITQ_DISCLAIMER)
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)
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),
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# 3. Kriterien-Tabellen
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div(class = "abschnitt-karte",
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div(class = "abschnitt-titel", "PTBS-Kriterien"),
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kriterien_ptbs_tbl,
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tags$p(style = "margin-top:10px;",
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tags$strong("Gesamt: "),
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tags$span(
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style = paste0("color:", kriterium_farbe(d$ptbs_kriterien), "; font-weight:700;"),
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paste0("PTBS-Kriterien ", kriterium_status(d$ptbs_kriterien))
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)
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)
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),
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div(class = "abschnitt-karte",
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div(class = "abschnitt-titel", "DSO-Kriterien"),
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kriterien_dso_tbl,
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tags$p(style = "margin-top:10px;",
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tags$strong("Gesamt: "),
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tags$span(
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style = paste0("color:", kriterium_farbe(d$dso_kriterien), "; font-weight:700;"),
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paste0("DSO-Kriterien ", kriterium_status(d$dso_kriterien))
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)
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),
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tags$p(style = "font-size:0.82em; color:#888; font-style:italic;",
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"Hinweis: Alleinige Erfuellung der DSO-Kriterien ohne PTBS ergibt keine Diagnose (Manual Cloitre et al., 2018).")
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),
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# 4. Dimensionale Werte
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div(class = "abschnitt-karte",
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div(class = "abschnitt-titel", "Dimensionale Werte (Rohwerte, keine Normierung)"),
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dim_ui
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),
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# 5. Itemliste
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div(class = "abschnitt-karte",
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div(class = "abschnitt-titel", "PTBS-Items (P1-P9)"),
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div(items_ui_ptbs)
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),
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div(class = "abschnitt-karte",
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div(class = "abschnitt-titel", "DSO-Items (C1-C9)"),
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div(items_ui_c)
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)
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)
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})
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output$download_word = downloadHandler(
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filename = function() {
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d = tryCatch(ergebnis_r(), error = function(e) NULL)
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chiffre_esc = if (is.list(d) && is.null(d$error) && nchar(d$chiffre) > 0)
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d$chiffre else "export"
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ausfuelldatum_fn = if (is.list(d) && is.null(d$error))
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tryCatch(
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format(as.Date(d$ausfuelldatum, "%d.%m.%Y"), "%Y%m%d"),
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error = function(e) format(Sys.Date(), "%Y%m%d")
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)
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else
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format(Sys.Date(), "%Y%m%d")
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paste0("ITQ_", chiffre_esc, "_", ausfuelldatum_fn, ".docx")
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},
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content = function(file) {
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d = tryCatch(ergebnis_r(), error = function(e) NULL)
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daten_ok = is.list(d) && is.null(d$error)
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if (!daten_ok) {
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doc = read_docx()
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doc = body_add_par(doc,
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"Kein Datensatz geladen. Bitte zuerst Chiffre eingeben und 'Auswerten' klicken.",
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style = "Normal")
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print(doc, target = file)
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return()
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}
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doc = tryCatch(
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erstelle_itq_docx(d),
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error = function(e) {
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err_doc = read_docx()
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body_add_par(err_doc,
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paste0("Fehler beim Erstellen des Word-Dokuments: ", e$message),
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style = "Normal")
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}
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)
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print(doc, target = file)
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}
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)
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}
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# Start ####
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shinyApp(ui, server)
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