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PCL5-SCL5/app.R
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PCL5-SCL5/app.R
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# Präambel ####
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AKZENT_FARBE = "#8B2635"
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PFAD_DOWNLOAD_SKRIPT = "../API/get_data_pcl5lec5.R"
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PFAD_PSEUDONYM_SKRIPT = "../get_pseudo.R"
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PCL5SCL5_DISCLAIMER = paste0(
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"Diese Auswertung ist ein Hilfsmittel fuer klinisches Fachpersonal und ersetzt ",
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"keine klinische Diagnose. Die Interpretation der Ergebnisse obliegt der ",
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"behandelnden Person."
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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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LEC5_ANTWORTEN = c(
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"1" = "mir persönlich zugestoßen",
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"2" = "Zeuge davon gewesen",
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"3" = "davon erfahren",
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"4" = "im Rahmen meines Berufs",
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"5" = "unsicher",
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"6" = "nicht zutreffend"
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)
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LEC5_ITEM_TEXTE = c(
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"Naturkatastrophe (z.B. Überschwemmung, Orkan, Tornado, Erdbeben)",
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"Feuer oder Explosion",
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"Verkehrsunfall (z.B. Autounfall, Schiffsunglück, Zugunglück, Flugzeugabsturz)",
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"Schwerer Unfall bei der Arbeit, zuhause oder während einer Freizeitaktivität",
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"Einem Schadstoff ausgesetzt sein (z.B. gefährliche Chemikalien, Strahlung)",
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"Gewalttätiger Angriff (z.B. überfallen, geschlagen, getreten oder zusammengeschlagen werden)",
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"Angriff mit einer Waffe (z.B. verletzt oder bedroht werden mit einer Schusswaffe, einem Messer oder einer Bombe)",
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"Sexueller Übergriff (Vergewaltigung, versuchte Vergewaltigung, zu irgendeiner Art von sexueller Handlung durch Gewalt oder Androhung von Gewalt gezwungen werden)",
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"Andere unerwünschte oder unangenehme sexuelle Erfahrung",
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"Kampfhandlungen oder Aufenthalt in einem Kriegsgebiet (beim Militär oder als Zivilist)",
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"Gefangenschaft (z.B. gekidnappt, entführt, als Geisel genommen werden, Kriegsgefangener)",
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"Lebensbedrohliche Erkrankung oder Verletzung",
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"Schweres menschliches Leid",
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"Plötzlicher gewalttätiger Tod (z.B. Mord, Suizid)",
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"Plötzlicher Unfalltod",
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"Schwere Verletzung, Schaden oder Tod, die/den Sie jemand anderem zugefügt haben",
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"Irgendein anderes sehr belastendes Ereignis oder Erlebnis"
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)
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PCL5_ITEM_TEXTE = c(
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"Wiederholte, beunruhigende und ungewollte Erinnerungen an das belastende Erlebnis?",
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"Wiederholte, beunruhigende Träume von dem belastenden Erlebnis?",
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"Sich plötzlich fühlen oder sich verhalten, als ob das belastende Erlebnis tatsächlich wieder stattfinden würde (als ob Sie tatsächlich wieder dort wären und es wiedererleben würden)?",
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"Sich emotional sehr belastet fühlen, wenn Sie etwas an das Erlebnis erinnert hat?",
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"Starke körperliche Reaktionen haben, wenn Sie etwas an das belastende Erlebnis erinnert hat (z.B. Herzklopfen, Schwierigkeiten beim Atmen, schwitzen)?",
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"Vermeidung von Erinnerungen, Gedanken oder Gefühlen in Bezug auf das belastende Erlebnis?",
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"Vermeidung äußerer Auslöser für Erinnerungen an das belastende Erlebnis (z.B. Personen, Plätze, Gespräche, Aktivitäten, Gegenstände oder Situationen)?",
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"Schwierigkeiten, sich an wichtige Teile des belastenden Erlebnisses zu erinnern?",
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"Starke negative Überzeugungen über sich selbst, andere Menschen oder die Welt haben (z.B. Gedanken haben wie: Ich bin schlecht, mit mir stimmt ernsthaft etwas nicht, man kann niemandem vertrauen, die Welt ist absolut gefährlich)?",
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"Sich selbst oder jemand anderem Vorwürfe machen in Bezug auf das belastende Erlebnis oder was danach passiert ist?",
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"Starke negative Gefühle haben, wie zum Beispiel Angst, Schrecken, Ärger, Schuld oder Scham?",
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"Verlust von Interesse an Aktivitäten, die Ihnen früher Spaß gemacht haben?",
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"Sich von anderen Menschen entfernt oder wie abgeschnitten fühlen?",
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"Schwierigkeiten, positive Gefühle zu erleben (z.B. keine Freude empfinden können oder keine liebevollen Gefühle haben können gegenüber Menschen, die Ihnen nahestehen)?",
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"Reizbares Verhalten, Wutausbrüche oder aggressives Verhalten?",
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"Zu viele Risiken eingehen oder Dinge tun, die Ihnen Schaden zufügen könnten?",
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"In erhöhter Alarmbereitschaft, wachsam oder auf der Hut sein?",
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"Sich nervös oder schreckhaft fühlen?",
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"Konzentrationsschwierigkeiten haben?",
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"Schwierigkeiten, ein- oder durchzuschlafen?"
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)
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PCL5_STUFEN_TEXT = c(
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"0" = "überhaupt nicht",
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"1" = "ein wenig",
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"2" = "ziemlich",
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"3" = "stark",
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"4" = "sehr stark"
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)
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PCL5_BADGE_FARBEN = c(
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"0" = "#4CAF50",
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"1" = "#F48FB1",
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"2" = "#EF5350",
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"3" = "#B71C1C",
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"4" = "#4A0000"
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)
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PCL5_BADGE_TEXT_FARBEN = c(
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"0" = "white",
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"1" = "#333333",
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"2" = "white",
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"3" = "white",
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"4" = "white"
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)
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CLUSTER_B = 1:5
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CLUSTER_C = 6:7
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CLUSTER_D = 8:14
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CLUSTER_E = 15:20
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TEIL2_FRAGEN_TEXT = list(
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teil2_a_text = "Beschreibung des sonstigen belastenden Ereignisses (Item 17)",
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teil2_q1 = "Beschreibung des schlimmsten Ereignisses",
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teil2_q2 = "Wie lange ist das Ereignis her?",
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teil2_q3 = "Wie haben Sie das Ereignis erlebt?",
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teil2_q3_sonstiges = "Sonstiges – Erläuterung",
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teil2_q4 = "War jemand in Lebensgefahr?",
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teil2_q5 = "Wurde jemand schwer verletzt oder getötet?",
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teil2_q6 = "Beinhaltete das Ereignis sexuelle Gewalt?",
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teil2_q7 = "Art des Todesfalls (sofern relevant)",
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teil2_q8 = "Wie oft ist das Ereignis vorgekommen?",
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teil2_q8_anzahl = "Anzahl der Vorkommnisse"
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)
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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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# Beobachtetes Format der mc_multiple-Werte: "1, 2, 3" (Komma + Leerzeichen).
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# Tatsaechlich vorgefundener Fall (Fall A vs. Fall B) empirisch zu bestimmen --
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# nach erstem echten Datenlauf bitte Kommentar aktualisieren.
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parse_lec5_value = function(original_col, zeile_val) {
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# is.na() zuerst, DANN as.character() -- vermeidet vctrs-Typfehler bei haven_labelled
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if (is.na(zeile_val)) return(character(0))
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raw_str = as.character(zeile_val)
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if (trimws(raw_str) == "" || raw_str == "NA") return(character(0))
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teile = trimws(strsplit(raw_str, "[,;]+")[[1]])
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nums = suppressWarnings(as.integer(teile))
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nums = nums[!is.na(nums)]
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if (length(nums) == 0) return(character(0))
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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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# as.vector() entfernt die haven_labelled-Klasse, damit vctrs == nicht
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# mit Typkonflikt abbricht; Vergleich als character (mc_multiple-Labels
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# koennen character-kodiert sein).
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lbl_plain = as.vector(lbl_attr)
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names(lbl_plain) = names(lbl_attr)
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sapply(nums, function(n) {
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nm = names(lbl_plain)[as.character(lbl_plain) == as.character(n)]
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if (length(nm) > 0) nm[1] else as.character(n)
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})
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} else {
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sapply(nums, function(n) {
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k = as.character(n)
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if (k %in% names(LEC5_ANTWORTEN)) LEC5_ANTWORTEN[[k]] else as.character(n)
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})
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}
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}
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# labels-Attribut aus der Originalspalte lesen (vor Subsetting), da es nach
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# Subsetting auf einzelne Zeile verloren gehen kann.
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pcl5_get_level = function(original_col, zeile_val) {
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if (is.na(zeile_val)) return(NA_integer_)
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lbl_attr = attr(original_col, "labels")
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if (!is.null(lbl_attr) && length(lbl_attr) > 0) {
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# as.vector() entfernt haven_labelled-Klasse vor Vergleich
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lbl_plain = as.vector(lbl_attr)
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names(lbl_plain) = names(lbl_attr)
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lbl_sorted = sort(lbl_plain)
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pos = which(lbl_sorted == as.numeric(zeile_val))
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if (length(pos) > 0) return(as.integer(pos[1]) - 1L)
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}
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NA_integer_
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}
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# NULL und length-0-Vektoren (entstehen wenn Spalte im Datensatz fehlt)
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# werden zu NA_character_ -- verhindert logical(0) in is.na()-Aufrufen.
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safe_char = function(x) {
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if (is.null(x) || length(x) == 0) return(NA_character_)
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v = suppressWarnings(as.character(x[1]))
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if (length(v) == 0 || is.na(v)) return(NA_character_)
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v
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}
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get_mc_label = function(original_col, zeile_val) {
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if (is.null(zeile_val) || length(zeile_val) == 0) return(NA_character_)
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if (is.na(zeile_val[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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lbl_plain = as.vector(lbl_attr)
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names(lbl_plain) = names(lbl_attr)
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nm = names(lbl_plain)[as.character(lbl_plain) == as.character(zeile_val)]
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if (length(nm) > 0) return(nm[1])
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}
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as.character(zeile_val)
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}
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dsm5_check = function(levels) {
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b_count = sum(levels[CLUSTER_B] >= 2, na.rm = TRUE)
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c_count = sum(levels[CLUSTER_C] >= 2, na.rm = TRUE)
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d_count = sum(levels[CLUSTER_D] >= 2, na.rm = TRUE)
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e_count = sum(levels[CLUSTER_E] >= 2, na.rm = TRUE)
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list(
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b_count = b_count, b_ok = b_count >= 1,
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c_count = c_count, c_ok = c_count >= 1,
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d_count = d_count, d_ok = d_count >= 2,
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e_count = e_count, e_ok = e_count >= 2,
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gesamt = (b_count >= 1) && (c_count >= 1) && (d_count >= 2) && (e_count >= 2)
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)
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}
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make_gauge_plot = function(score) {
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ggplot() +
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geom_rect(aes(xmin = 0, xmax = 33, ymin = 0, ymax = 1),
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fill = "#E8F5E9", color = NA) +
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geom_rect(aes(xmin = 33, xmax = 80, ymin = 0, ymax = 1),
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fill = "#FFEBEE", color = NA) +
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geom_rect(aes(xmin = 0, xmax = 80, ymin = 0, ymax = 1),
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fill = NA, color = "#9E9E9E", linewidth = 0.6) +
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geom_vline(xintercept = 33, color = "#E65100", linetype = "dashed", linewidth = 1) +
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geom_segment(aes(x = score, xend = score, y = -0.25, yend = 1.25),
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color = AKZENT_FARBE, linewidth = 2.5) +
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geom_label(aes(x = score, y = 1.6, label = paste0("Score: ", score)),
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fill = AKZENT_FARBE, color = "white", fontface = "bold",
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linewidth = 0, size = 4) +
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annotate("text", x = 33, y = -0.55, label = "Cutoff: 33",
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color = "#E65100", size = 3.2, hjust = 0.5) +
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annotate("text", x = 16, y = 0.5, label = "< 33",
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color = "#2E7D32", size = 3.5, fontface = "italic") +
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annotate("text", x = 57, y = 0.5, label = "≥ 33",
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color = "#B71C1C", size = 3.5, fontface = "italic") +
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scale_x_continuous(limits = c(0, 83),
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breaks = c(0, 10, 20, 33, 40, 50, 60, 70, 80)) +
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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 = "PCL-5 Summenscore (0–80)", 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 label { font-weight: 600; color: #333; }
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.input-panel .form-group { margin-bottom: 0; }
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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;
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cursor: pointer; white-space: nowrap;
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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: #FFF8E1; border-left: 5px solid #F9A825;
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padding: 12px 16px; border-radius: 4px; color: #6D4C41;
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margin-bottom: 12px;
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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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.lec5-item {
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padding: 8px 10px; margin-bottom: 6px;
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background: #FAFAFA; border-left: 3px solid #8B2635; border-radius: 2px;
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}
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.lec5-item-nr { font-weight: 700; color: #8B2635; margin-right: 4px; }
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.lec5-item-qualitaet { color: #555; font-style: italic; margin-top: 3px; font-size: 0.9em; }
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.teil2-zeile { margin-bottom: 10px; }
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.teil2-label { font-weight: 600; color: #444; font-size: 0.88em;
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text-transform: uppercase; letter-spacing: 0.03em; }
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.teil2-wert { color: #222; margin-top: 2px; }
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.cluster-box {
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display: inline-block; padding: 10px 14px; border-radius: 6px;
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margin: 4px; text-align: center; min-width: 130px;
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vertical-align: top;
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}
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.cluster-ok { background: #E8F5E9; border: 1px solid #A5D6A7; }
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.cluster-nok { background: #FFEBEE; border: 1px solid #EF9A9A; }
|
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.cluster-name { font-weight: 700; font-size: 1em; color: #333; }
|
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.cluster-score { font-size: 0.95em; color: #555; margin: 2px 0; }
|
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.cluster-kriterium { font-size: 0.85em; font-weight: 600; }
|
||||
.cluster-kriterium-ok { color: #2E7D32; }
|
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.cluster-kriterium-nok { color: #C62828; }
|
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.dsm5-ergebnis {
|
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text-align: center; padding: 14px; border-radius: 6px;
|
||||
margin: 10px 0; font-size: 1.1rem; font-weight: 700;
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}
|
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.dsm5-erfuellt { background: #FFEBEE; color: #B71C1C; border: 2px solid #EF9A9A; }
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||||
.dsm5-nichterfuellt { background: #E8F5E9; color: #2E7D32; border: 2px solid #A5D6A7; }
|
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.dsm5-disclaimer {
|
||||
font-size: 0.82em; color: #777; font-style: italic;
|
||||
margin-top: 8px; border-top: 1px solid #eee; padding-top: 8px;
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||||
}
|
||||
.item-zeile {
|
||||
display: flex; align-items: flex-start; gap: 10px;
|
||||
padding: 7px 0; border-bottom: 1px solid #F0F0F0;
|
||||
}
|
||||
.item-nr { font-weight: 600; color: #8B2635; min-width: 28px; }
|
||||
.item-text { flex: 1; color: #333; font-size: 0.92em; }
|
||||
.stufe-badge {
|
||||
border-radius: 4px; padding: 2px 9px; font-weight: 700;
|
||||
font-size: 0.82em; white-space: nowrap; display: inline-block;
|
||||
}
|
||||
.stufe-badge-0 { background: #4CAF50; color: white; }
|
||||
.stufe-badge-1 { background: #F48FB1; color: #333; }
|
||||
.stufe-badge-2 { background: #EF5350; color: white; }
|
||||
.stufe-badge-3 { background: #B71C1C; color: white; }
|
||||
.stufe-badge-4 { background: #4A0000; color: white; }
|
||||
.score-zahl { font-size: 2rem; font-weight: 800; color: #8B2635; }
|
||||
.cutoff-info { font-size: 0.88em; color: #555; margin-top: 4px; }
|
||||
.keine-ereignisse { color: #777; font-style: italic; }
|
||||
"
|
||||
|
||||
app_css = gsub("#8B2635", AKZENT_FARBE, app_css, fixed = TRUE)
|
||||
|
||||
ui = fluidPage(
|
||||
tags$head(
|
||||
tags$meta(charset = "UTF-8"),
|
||||
tags$style(HTML(app_css))
|
||||
),
|
||||
|
||||
div(class = "app-header",
|
||||
tags$h2("PCL-5 / LEC-5 — Einzelauswertung"),
|
||||
tags$p("Fragebogen: PCL-5 mit LEC-5 und erweitertem Kriterium A (Deutsche Fassung)")
|
||||
),
|
||||
|
||||
div(class = "container-fluid",
|
||||
|
||||
div(class = "input-panel",
|
||||
div(
|
||||
tags$label("Patientenchiffre", `for` = "chiffre"),
|
||||
tags$br(),
|
||||
textInput("pseudonym",
|
||||
label = tagList(
|
||||
"Pseudonym",
|
||||
tags$span(style = "font-weight: normal; font-style: italic; font-size: 0.78em; color: #888; margin-left: 4px; white-space: nowrap;",
|
||||
"optional, hat Vorrang vor Chiffre")
|
||||
),
|
||||
placeholder = "optional", width = "340px"),
|
||||
textInput("chiffre", label = NULL, placeholder = "z.B. P000123",
|
||||
width = "180px")
|
||||
),
|
||||
div(style = "padding-bottom: 1px;",
|
||||
actionButton("btn_laden", "Daten laden", class = "btn-laden")
|
||||
),
|
||||
div(style = "padding-bottom: 1px; margin-left: auto;",
|
||||
downloadButton("download_docx", "Word-Bericht herunterladen",
|
||||
style = paste0("background:", AKZENT_FARBE, "; color:white; border:none;",
|
||||
" font-weight:600; padding:8px 20px; border-radius:4px;")
|
||||
)
|
||||
)
|
||||
),
|
||||
|
||||
uiOutput("fehler_ui"),
|
||||
uiOutput("warnung_ui"),
|
||||
uiOutput("lec5_ui"),
|
||||
uiOutput("teil2_ui"),
|
||||
uiOutput("pcl5_ui")
|
||||
)
|
||||
)
|
||||
|
||||
|
||||
# Word-Export ####
|
||||
|
||||
erstelle_pcl5scl5_docx = function(d) {
|
||||
doc = read_docx()
|
||||
|
||||
fp_titel = fp_text(color = AKZENT_FARBE, bold = TRUE, font.size = 18)
|
||||
fp_abschnitt = fp_text(color = AKZENT_FARBE, bold = TRUE, font.size = 13)
|
||||
fp_label = fp_text(bold = TRUE, font.size = 11)
|
||||
fp_normal = fp_text(font.size = 11)
|
||||
fp_klein = fp_text(font.size = 9, italic = TRUE, color = "#666666")
|
||||
fp_score_gut = fp_text(bold = TRUE, font.size = 12, color = "#2E7D32")
|
||||
fp_score_krit = fp_text(bold = TRUE, font.size = 12, color = "#C62828")
|
||||
|
||||
doc = body_add_fpar(doc,
|
||||
fpar(ftext("PCL-5 / LEC-5 — Einzelauswertung", fp_titel)))
|
||||
doc = body_add_fpar(doc,
|
||||
fpar(ftext(paste0("Chiffre: ", d$chiffre,
|
||||
" | Ausfuelldatum: ", format(d$datum, "%d.%m.%Y")), fp_normal)))
|
||||
doc = body_add_par(doc, "", style = "Normal")
|
||||
|
||||
doc = body_add_fpar(doc,
|
||||
fpar(ftext("LEC-5: Belastende Lebensereignisse", fp_abschnitt)))
|
||||
relevante = Filter(function(x) x$hat_relevant, d$lec5)
|
||||
if (length(relevante) == 0) {
|
||||
doc = body_add_fpar(doc,
|
||||
fpar(ftext("Keine belastenden Ereignisse angegeben.", fp_normal)))
|
||||
} else {
|
||||
for (item in relevante) {
|
||||
doc = body_add_fpar(doc, fpar(
|
||||
ftext(paste0("Item ", item$nr, " – "), fp_label),
|
||||
ftext(item$text, fp_normal),
|
||||
ftext(paste0(": ", paste(item$antworten, collapse = ", ")), fp_normal)
|
||||
))
|
||||
}
|
||||
}
|
||||
doc = body_add_par(doc, "", style = "Normal")
|
||||
|
||||
doc = body_add_fpar(doc,
|
||||
fpar(ftext("Angaben zum schlimmsten Ereignis", fp_abschnitt)))
|
||||
teil2_felder = list(
|
||||
list(label = "Sonstiges Ereignis (Freitext)", val = d$teil2$a_text),
|
||||
list(label = "Beschreibung", val = d$teil2$q1),
|
||||
list(label = "Wie lange her?", val = d$teil2$q2),
|
||||
list(label = "Wie erlebt?", val = d$teil2$q3),
|
||||
list(label = "Sonstiges (Erlaeuterung)", val = d$teil2$q3_sonstiges),
|
||||
list(label = "Lebensgefahr?", val = d$teil2$q4),
|
||||
list(label = "Verletzt/getoetet?", val = d$teil2$q5),
|
||||
list(label = "Sexuelle Gewalt?", val = d$teil2$q6),
|
||||
list(label = "Art des Todesfalls", val = d$teil2$q7),
|
||||
list(label = "Wie oft?", val = d$teil2$q8),
|
||||
list(label = "Anzahl", val = d$teil2$q8_anzahl)
|
||||
)
|
||||
for (f in teil2_felder) {
|
||||
v = if (is.null(f$val) || length(f$val) == 0) NA_character_ else f$val[1]
|
||||
if (!is.na(v) && nchar(trimws(v)) > 0 && v != "NA") {
|
||||
doc = body_add_fpar(doc, fpar(
|
||||
ftext(paste0(f$label, ": "), fp_label),
|
||||
ftext(v, fp_normal)
|
||||
))
|
||||
}
|
||||
}
|
||||
doc = body_add_par(doc, "", style = "Normal")
|
||||
|
||||
doc = body_add_fpar(doc,
|
||||
fpar(ftext("PCL-5: Auswertung", fp_abschnitt)))
|
||||
score = d$pcl5$summenscore
|
||||
fp_s = if (isTRUE(score >= 33)) fp_score_krit else fp_score_gut
|
||||
doc = body_add_fpar(doc, fpar(
|
||||
ftext("Summenscore: ", fp_label),
|
||||
ftext(paste0(score, " / 80"), fp_s)
|
||||
))
|
||||
cluster_nms = c(
|
||||
b = "Cluster B (Intrusion, Items 1-5)",
|
||||
c = "Cluster C (Vermeidung, Items 6-7)",
|
||||
d = "Cluster D (Kognition/Stimmung, Items 8-14)",
|
||||
e = "Cluster E (Arousal, Items 15-20)"
|
||||
)
|
||||
for (k in c("b", "c", "d", "e")) {
|
||||
cs = d$pcl5$cluster[[k]]
|
||||
doc = body_add_fpar(doc, fpar(
|
||||
ftext(paste0(cluster_nms[k], ": "), fp_label),
|
||||
ftext(paste0(cs$score, " / ", cs$max), fp_normal)
|
||||
))
|
||||
}
|
||||
doc = body_add_par(doc, "", style = "Normal")
|
||||
|
||||
dsm = d$pcl5$dsm5
|
||||
gesamt_ok = isTRUE(dsm$gesamt)
|
||||
fp_dsm = if (gesamt_ok) fp_score_krit else fp_score_gut
|
||||
dsm_txt = if (gesamt_ok)
|
||||
"Erfuellt (Kriterien B, C, D, E alle erfuellt)"
|
||||
else
|
||||
"Nicht erfuellt"
|
||||
doc = body_add_fpar(doc, fpar(
|
||||
ftext("Vorlaeufige DSM-5-Kriterienregel: ", fp_label),
|
||||
ftext(dsm_txt, fp_dsm)
|
||||
))
|
||||
doc = body_add_fpar(doc,
|
||||
fpar(ftext(paste0(
|
||||
"Hinweis: Dies stellt kein automatisiertes klinisches Urteil dar. ",
|
||||
"Auswertungslogik gemaess 'Anwendung und Auswertung PCL-5', ",
|
||||
"nicht gegen zweite Quelle verifiziert."
|
||||
), fp_klein)))
|
||||
doc = body_add_par(doc, "", style = "Normal")
|
||||
|
||||
doc = body_add_fpar(doc,
|
||||
fpar(ftext("PCL-5 Einzelitems", fp_abschnitt)))
|
||||
for (i in 1:20) {
|
||||
lvl = d$pcl5$levels[i]
|
||||
lvl_key = if (!is.na(lvl) && lvl >= 0 && lvl <= 4) as.character(lvl) else "0"
|
||||
fp_badge = fp_text(
|
||||
color = PCL5_BADGE_TEXT_FARBEN[[lvl_key]],
|
||||
bold = TRUE,
|
||||
shading.color = PCL5_BADGE_FARBEN[[lvl_key]],
|
||||
font.size = 10
|
||||
)
|
||||
doc = body_add_fpar(doc, fpar(
|
||||
ftext(paste0(i, ". ", PCL5_ITEM_TEXTE[i], " "), fp_normal),
|
||||
ftext(paste0(" ", PCL5_STUFEN_TEXT[[lvl_key]], " "), fp_badge)
|
||||
))
|
||||
}
|
||||
|
||||
doc = body_add_par(doc, "", style = "Normal")
|
||||
doc = body_add_fpar(doc, fpar(ftext(PCL5SCL5_DISCLAIMER, fp_klein)))
|
||||
|
||||
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)))
|
||||
}
|
||||
})
|
||||
|
||||
patientendaten = eventReactive(input$btn_laden, {
|
||||
|
||||
chiffre = toupper(trimws(input$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}$", chiffre)))
|
||||
return(list(error = "Ungueltige Chiffre. Erwartet: ein Grossbuchstabe gefolgt von 6 Ziffern, z.B. P000123."))
|
||||
|
||||
if (!file.exists(PFAD_DOWNLOAD_SKRIPT))
|
||||
return(list(error = paste0("Download-Skript nicht gefunden:\n", PFAD_DOWNLOAD_SKRIPT)))
|
||||
if (!file.exists(PFAD_PSEUDONYM_SKRIPT))
|
||||
return(list(error = paste0("Pseudonym-Skript nicht gefunden:\n", PFAD_PSEUDONYM_SKRIPT)))
|
||||
|
||||
res_dl = tryCatch({
|
||||
source(PFAD_DOWNLOAD_SKRIPT, local = FALSE)
|
||||
list(ok = TRUE)
|
||||
}, error = function(e) list(ok = FALSE, msg = e$message))
|
||||
if (!res_dl$ok)
|
||||
return(list(error = paste0("Fehler im Download-Skript: ", res_dl$msg)))
|
||||
|
||||
basis_dir = normalizePath(dirname(PFAD_PSEUDONYM_SKRIPT))
|
||||
db_dir = NULL
|
||||
current = basis_dir
|
||||
for (i in 0:5) {
|
||||
if (file.exists(file.path(current, "pseudonyme.db"))) {
|
||||
db_dir = current
|
||||
break
|
||||
}
|
||||
parent = dirname(current)
|
||||
if (parent == current) break
|
||||
current = parent
|
||||
}
|
||||
|
||||
wd_ziel = if (!is.null(db_dir)) db_dir else basis_dir
|
||||
old_wd = getwd()
|
||||
on.exit(setwd(old_wd), add = TRUE)
|
||||
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$msg)))
|
||||
|
||||
if (!exists("daten_pcl5lec5", envir = .GlobalEnv))
|
||||
return(list(error = "Objekt 'daten_pcl5lec5' nach dem Sourcen nicht gefunden."))
|
||||
if (!exists("pseudo", envir = .GlobalEnv))
|
||||
return(list(error = "Objekt 'pseudo' nach dem Sourcen nicht gefunden."))
|
||||
|
||||
daten = get("daten_pcl5lec5", envir = .GlobalEnv)
|
||||
pseudo_df = get("pseudo", envir = .GlobalEnv)
|
||||
|
||||
treffer_ps = pseudo_df[pseudo_df$chiffre == chiffre, ]
|
||||
if (nrow(treffer_ps) == 0)
|
||||
return(list(error = paste0("Chiffre '", chiffre, "' nicht in der Pseudonym-Datenbank gefunden.")))
|
||||
|
||||
warnungen = character(0)
|
||||
|
||||
alle_session_ids = unique(treffer_ps$pseudonym)
|
||||
if (nchar(trimws(input$pseudonym)) > 0) alle_session_ids = trimws(input$pseudonym)
|
||||
|
||||
treffer_dat = daten[daten$session %in% alle_session_ids, ]
|
||||
if (nrow(treffer_dat) == 0)
|
||||
return(list(error = paste0(
|
||||
"Keine Daten fuer Chiffre '", chiffre, "' in daten_pcl5lec5 gefunden. (",
|
||||
length(alle_session_ids), " Pseudonym(e) geprueft)"
|
||||
)))
|
||||
|
||||
if (nrow(treffer_dat) > 1) {
|
||||
treffer_dat = treffer_dat[order(treffer_dat$created, decreasing = TRUE), ]
|
||||
warnungen = c(warnungen, paste0(
|
||||
"Mehrere Durchlaeufe fuer diese Chiffre gefunden. ",
|
||||
"Der neueste vom ", format(treffer_dat$created[1], "%d.%m.%Y %H:%M"),
|
||||
" wird angezeigt."
|
||||
))
|
||||
treffer_dat = treffer_dat[1, , drop = FALSE]
|
||||
}
|
||||
|
||||
zeile = treffer_dat[1, , drop = FALSE]
|
||||
|
||||
lec5_liste = lapply(1:17, function(i) {
|
||||
var = paste0("lec5_", sprintf("%02d", i))
|
||||
col = daten[[var]]
|
||||
val = zeile[[var]]
|
||||
antworten = parse_lec5_value(col, val)
|
||||
raw_str = if (!is.na(val)) as.character(val) else ""
|
||||
teile = suppressWarnings(as.integer(trimws(strsplit(raw_str, "[,;]+")[[1]])))
|
||||
teile = teile[!is.na(teile)]
|
||||
# Relevant = mindestens eine Option ist nicht "nicht zutreffend" (Ziffer 6)
|
||||
hat_relevant = length(teile) > 0 && !all(teile == 6)
|
||||
list(
|
||||
nr = i,
|
||||
text = LEC5_ITEM_TEXTE[i],
|
||||
antworten = antworten,
|
||||
hat_relevant = hat_relevant
|
||||
)
|
||||
})
|
||||
|
||||
teil2 = list(
|
||||
a_text = safe_char(zeile[["teil2_a_text"]]),
|
||||
q1 = safe_char(zeile[["teil2_q1"]]),
|
||||
q2 = safe_char(zeile[["teil2_q2"]]),
|
||||
q3 = get_mc_label(daten[["teil2_q3"]], zeile[["teil2_q3"]]),
|
||||
q3_sonstiges = safe_char(zeile[["teil2_q3_sonstiges"]]),
|
||||
q4 = get_mc_label(daten[["teil2_q4"]], zeile[["teil2_q4"]]),
|
||||
q5 = get_mc_label(daten[["teil2_q5"]], zeile[["teil2_q5"]]),
|
||||
q6 = get_mc_label(daten[["teil2_q6"]], zeile[["teil2_q6"]]),
|
||||
q7 = get_mc_label(daten[["teil2_q7"]], zeile[["teil2_q7"]]),
|
||||
q8 = get_mc_label(daten[["teil2_q8"]], zeile[["teil2_q8"]]),
|
||||
q8_anzahl = safe_char(zeile[["teil2_q8_anzahl"]]),
|
||||
q3_raw = zeile[["teil2_q3"]],
|
||||
q8_raw = zeile[["teil2_q8"]]
|
||||
)
|
||||
|
||||
pcl5_levels = sapply(1:20, function(i) {
|
||||
var = paste0("pcl5_", sprintf("%02d", i))
|
||||
pcl5_get_level(daten[[var]], zeile[[var]])
|
||||
})
|
||||
|
||||
summenscore = sum(pcl5_levels, na.rm = TRUE)
|
||||
cluster_b_sum = sum(pcl5_levels[CLUSTER_B], na.rm = TRUE)
|
||||
cluster_c_sum = sum(pcl5_levels[CLUSTER_C], na.rm = TRUE)
|
||||
cluster_d_sum = sum(pcl5_levels[CLUSTER_D], na.rm = TRUE)
|
||||
cluster_e_sum = sum(pcl5_levels[CLUSTER_E], na.rm = TRUE)
|
||||
|
||||
dsm5 = dsm5_check(pcl5_levels)
|
||||
|
||||
pcl5 = list(
|
||||
levels = pcl5_levels,
|
||||
summenscore = summenscore,
|
||||
cluster = list(
|
||||
b = list(score = cluster_b_sum, max = 20),
|
||||
c = list(score = cluster_c_sum, max = 8),
|
||||
d = list(score = cluster_d_sum, max = 28),
|
||||
e = list(score = cluster_e_sum, max = 24)
|
||||
),
|
||||
dsm5 = dsm5
|
||||
)
|
||||
|
||||
list(
|
||||
chiffre = chiffre,
|
||||
datum = as.Date(zeile[["created"]]),
|
||||
warnungen = warnungen,
|
||||
lec5 = lec5_liste,
|
||||
teil2 = teil2,
|
||||
pcl5 = pcl5,
|
||||
error = NULL
|
||||
)
|
||||
})
|
||||
|
||||
output$fehler_ui = renderUI({
|
||||
req(input$btn_laden)
|
||||
d = patientendaten()
|
||||
if (!is.null(d$error))
|
||||
div(class = "alert-fehler", icon("exclamation-triangle"), " ", d$error)
|
||||
})
|
||||
|
||||
output$warnung_ui = renderUI({
|
||||
req(input$btn_laden)
|
||||
d = patientendaten()
|
||||
if (!is.null(d$error) || length(d$warnungen) == 0) return(NULL)
|
||||
tagList(lapply(d$warnungen, function(w)
|
||||
div(class = "alert-warnung", icon("exclamation-circle"), " ", w)
|
||||
))
|
||||
})
|
||||
|
||||
output$lec5_ui = renderUI({
|
||||
req(input$btn_laden)
|
||||
d = patientendaten()
|
||||
if (!is.null(d$error)) return(NULL)
|
||||
|
||||
relevante = Filter(function(x) x$hat_relevant, d$lec5)
|
||||
|
||||
inhalt = if (length(relevante) == 0) {
|
||||
tags$p(class = "keine-ereignisse",
|
||||
"Keine belastenden Ereignisse angegeben (alle Items als 'nicht zutreffend' beantwortet).")
|
||||
} else {
|
||||
tagList(lapply(relevante, function(item) {
|
||||
div(class = "lec5-item",
|
||||
div(
|
||||
tags$span(class = "lec5-item-nr", paste0("Item ", item$nr)),
|
||||
tags$span(item$text)
|
||||
),
|
||||
div(class = "lec5-item-qualitaet",
|
||||
paste(item$antworten, collapse = " • "))
|
||||
)
|
||||
}))
|
||||
}
|
||||
|
||||
div(class = "abschnitt-karte",
|
||||
div(class = "abschnitt-titel", "LEC-5: Belastende Lebensereignisse"),
|
||||
inhalt
|
||||
)
|
||||
})
|
||||
|
||||
output$teil2_ui = renderUI({
|
||||
req(input$btn_laden)
|
||||
d = patientendaten()
|
||||
if (!is.null(d$error)) return(NULL)
|
||||
t2 = d$teil2
|
||||
|
||||
zeile_ui = function(label, wert) {
|
||||
if (is.null(wert) || length(wert) == 0) return(NULL)
|
||||
w = wert[1]
|
||||
if (is.na(w) || w == "" || w == "NA") return(NULL)
|
||||
div(class = "teil2-zeile",
|
||||
div(class = "teil2-label", label),
|
||||
div(class = "teil2-wert", w)
|
||||
)
|
||||
}
|
||||
|
||||
q3_roh = suppressWarnings(as.numeric(t2$q3_raw))
|
||||
q8_roh = suppressWarnings(as.numeric(t2$q8_raw))
|
||||
|
||||
div(class = "abschnitt-karte",
|
||||
div(class = "abschnitt-titel", "Angaben zum schlimmsten Ereignis"),
|
||||
zeile_ui("Sonstiges Ereignis (Item 17 – Freitext)", t2$a_text),
|
||||
zeile_ui("Beschreibung des schlimmsten Ereignisses", t2$q1),
|
||||
zeile_ui("Wie lange ist das Ereignis her?", t2$q2),
|
||||
zeile_ui("Wie erlebt?", t2$q3),
|
||||
if (!is.na(q3_roh) && q3_roh == 5)
|
||||
zeile_ui("Sonstiges – Erläuterung", t2$q3_sonstiges),
|
||||
zeile_ui("War jemand in Lebensgefahr?", t2$q4),
|
||||
zeile_ui("Wurde jemand schwer verletzt oder getötet?", t2$q5),
|
||||
zeile_ui("Sexuelle Gewalt?", t2$q6),
|
||||
zeile_ui("Art des Todesfalls (sofern relevant)", t2$q7),
|
||||
zeile_ui("Wie oft vorgekommen?", t2$q8),
|
||||
if (!is.na(q8_roh) && q8_roh == 2)
|
||||
zeile_ui("Anzahl der Vorkommnisse", t2$q8_anzahl)
|
||||
)
|
||||
})
|
||||
|
||||
output$pcl5_ui = renderUI({
|
||||
req(input$btn_laden)
|
||||
d = patientendaten()
|
||||
if (!is.null(d$error)) return(NULL)
|
||||
p = d$pcl5
|
||||
|
||||
score = p$summenscore
|
||||
cutoff_ok = isTRUE(score >= 33)
|
||||
|
||||
cluster_info = list(
|
||||
list(name1 = "Cluster B", name2 = "(Intrusion)", key = "b", min_ok = 1),
|
||||
list(name1 = "Cluster C", name2 = "(Vermeidung)", key = "c", min_ok = 1),
|
||||
list(name1 = "Cluster D", name2 = "(Kognition)", key = "d", min_ok = 2),
|
||||
list(name1 = "Cluster E", name2 = "(Arousal)", key = "e", min_ok = 2)
|
||||
)
|
||||
|
||||
dsm5 = p$dsm5
|
||||
cluster_boxes = lapply(cluster_info, function(cl) {
|
||||
dat = p$cluster[[cl$key]]
|
||||
cnt = dsm5[[paste0(cl$key, "_count")]]
|
||||
ok_flg = dsm5[[paste0(cl$key, "_ok")]]
|
||||
div(class = paste0("cluster-box ", if (ok_flg) "cluster-ok" else "cluster-nok"),
|
||||
div(class = "cluster-name",
|
||||
tags$strong(cl$name1), tags$br(), cl$name2),
|
||||
div(class = "cluster-score",
|
||||
paste0(dat$score, " / ", dat$max, " Pkt")),
|
||||
div(class = paste0("cluster-kriterium ",
|
||||
if (ok_flg) "cluster-kriterium-ok" else "cluster-kriterium-nok"),
|
||||
paste0(cnt, " von mind. ", cl$min_ok,
|
||||
if (ok_flg) " ✓" else " ✗"))
|
||||
)
|
||||
})
|
||||
|
||||
dsm5_gesamt_ok = isTRUE(dsm5$gesamt)
|
||||
dsm5_klasse = if (dsm5_gesamt_ok) "dsm5-erfuellt" else "dsm5-nichterfuellt"
|
||||
dsm5_text = if (dsm5_gesamt_ok)
|
||||
"Voraussetzungen der DSM-5-Kriterienregel erfüllt"
|
||||
else
|
||||
"Voraussetzungen der DSM-5-Kriterienregel nicht erfüllt"
|
||||
|
||||
pcl5_items_ui = lapply(1:20, function(i) {
|
||||
lvl = p$levels[i]
|
||||
lvl_key = if (!is.na(lvl) && lvl >= 0 && lvl <= 4) as.character(lvl) else NA
|
||||
stufen_txt = if (!is.na(lvl_key)) PCL5_STUFEN_TEXT[[lvl_key]] else "NA"
|
||||
badge_cls = if (!is.na(lvl_key)) paste0("stufe-badge stufe-badge-", lvl_key) else "stufe-badge"
|
||||
cluster_lbl = if (i %in% CLUSTER_B) "B" else if (i %in% CLUSTER_C) "C" else
|
||||
if (i %in% CLUSTER_D) "D" else "E"
|
||||
div(class = "item-zeile",
|
||||
div(class = "item-nr", paste0(i, ".")),
|
||||
div(class = "item-text",
|
||||
tags$small(paste0("[", cluster_lbl, "] "), style = "color:#999;"),
|
||||
PCL5_ITEM_TEXTE[i]),
|
||||
div(span(class = badge_cls, stufen_txt))
|
||||
)
|
||||
})
|
||||
|
||||
div(class = "abschnitt-karte",
|
||||
div(class = "abschnitt-titel", "PCL-5: Auswertung"),
|
||||
|
||||
fluidRow(
|
||||
column(3,
|
||||
div(
|
||||
div(class = "score-zahl", score),
|
||||
div("Summenscore (0–80)"),
|
||||
div(class = "cutoff-info",
|
||||
if (cutoff_ok)
|
||||
tags$span(style = "color:#B71C1C; font-weight:600;",
|
||||
"≥ 33: Weitere Abklärung empfohlen")
|
||||
else
|
||||
tags$span(style = "color:#2E7D32; font-weight:600;",
|
||||
"< 33: Unterhalb Cutoff")
|
||||
),
|
||||
div(class = "cutoff-info", style = "margin-top:8px;",
|
||||
"Hinweis: Der Cutoff von 33 ist eine Orientierungsgröße. ",
|
||||
"Er kann je nach Kontext (Screening vs. Diagnose, Risikopopulation) ",
|
||||
"nach oben oder unten verschoben werden."
|
||||
)
|
||||
)
|
||||
),
|
||||
column(9,
|
||||
plotOutput("gauge_plot", height = "160px")
|
||||
)
|
||||
),
|
||||
|
||||
tags$hr(),
|
||||
|
||||
div(style = "margin-bottom: 14px;",
|
||||
tags$h5("Cluster-Subscores und DSM-5-Kriterienregel"),
|
||||
div(style = "margin-bottom: 10px;", tagList(cluster_boxes)),
|
||||
div(class = paste0("dsm5-ergebnis ", dsm5_klasse), dsm5_text),
|
||||
div(class = "dsm5-disclaimer",
|
||||
"Hinweis: Diese Auswertung stellt kein automatisiertes klinisches Urteil dar. ",
|
||||
"Die Ergebnisse dienen als Orientierung für die klinische Einschätzung ",
|
||||
"und ersetzen keine fachkundige diagnostische Beurteilung. ",
|
||||
tags$em("(Auswertungslogik gemäß 'Anwendung und Auswertung PCL-5', ",
|
||||
"nicht gegen zweite Quelle verifiziert.)")
|
||||
)
|
||||
),
|
||||
|
||||
tags$hr(),
|
||||
|
||||
div(
|
||||
tags$h5("PCL-5 Einzelitems"),
|
||||
pcl5_items_ui
|
||||
)
|
||||
)
|
||||
})
|
||||
|
||||
output$gauge_plot = renderPlot({
|
||||
req(input$btn_laden)
|
||||
d = patientendaten()
|
||||
req(is.null(d$error))
|
||||
make_gauge_plot(d$pcl5$summenscore)
|
||||
}, bg = "transparent")
|
||||
|
||||
output$download_docx = downloadHandler(
|
||||
filename = function() {
|
||||
d = tryCatch(patientendaten(), error = function(e) NULL)
|
||||
chiffre = if (is.list(d) && is.null(d$error) &&
|
||||
!is.null(d$chiffre) && nchar(d$chiffre) > 0)
|
||||
d$chiffre else "export"
|
||||
datum_fn = if (is.list(d) && is.null(d$error) && !is.null(d$datum))
|
||||
format(d$datum, "%Y%m%d") else format(Sys.Date(), "%Y%m%d")
|
||||
paste0("PCL5LEC5_", chiffre, "_", datum_fn, ".docx")
|
||||
},
|
||||
content = function(file) {
|
||||
d = tryCatch(patientendaten(), error = function(e) NULL)
|
||||
daten_ok = is.list(d) && is.null(d$error)
|
||||
if (!daten_ok) {
|
||||
doc = read_docx()
|
||||
doc = body_add_par(doc,
|
||||
"Kein Datensatz geladen. Bitte zuerst Chiffre eingeben und 'Daten laden' klicken.",
|
||||
style = "Normal")
|
||||
print(doc, target = file)
|
||||
return()
|
||||
}
|
||||
doc = tryCatch(
|
||||
erstelle_pcl5scl5_docx(d),
|
||||
error = function(e) {
|
||||
err_doc = read_docx()
|
||||
body_add_par(err_doc,
|
||||
paste0("Fehler beim Erstellen des Dokuments: ", e$message),
|
||||
style = "Normal")
|
||||
}
|
||||
)
|
||||
print(doc, target = file)
|
||||
}
|
||||
)
|
||||
}
|
||||
|
||||
|
||||
# Start ####
|
||||
|
||||
shinyApp(ui, server)
|
||||
Loading…
Add table
Add a link
Reference in a new issue