869 lines
32 KiB
R
869 lines
32 KiB
R
# Praeambel ####
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AKZENT_FARBE = "#8B2635"
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PFAD_DOWNLOAD_SKRIPT = "../API/get_data_iss20r.R"
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PFAD_PSEUDONYM_SKRIPT = "../get_pseudo.R"
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PFAD_NORMTABELLEN = "normtabellen"
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ISS20R_DISCLAIMER = paste0(
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"Diese Auswertung ist ein Hilfsmittel für klinisches Fachpersonal und ersetzt ",
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"keine klinische Diagnose. Die Interpretation obliegt der behandelnden Person."
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)
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ISS20R_HINWEIS_CUTOFF = paste0(
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"Die verwendeten Schwellenwerte (ab 50 Punkten 'internetsuchtgefährdet', ab 60 Punkten ",
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"'internetsüchtig') beruhen auf einer fachlich-inhaltlichen Festlegung der Testautoren ",
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"und nicht auf einer statistisch ermittelten Trennschärfe. Es handelt sich um eine ",
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"Orientierungsgrösse, keine empirisch scharf abgegrenzte diagnostische Grenze."
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)
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ISS20R_HINWEIS_NORMBASIS = paste0(
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"Die Normwerttabellen stammen aus der Konstruktionsstichprobe von 1999, die mit der ",
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"ursprünglichen Fassung von Item 4 (KV4) erhoben wurde. Die hier eingesetzte revidierte ",
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"Fassung dieses Items gilt nach Angaben der Testautoren wegen hoher Iteminterkorrelation ",
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"und kaum veränderter interner Konsistenz als weitgehend austauschbar. Die Normwerte ",
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"selbst wurden jedoch nicht empirisch neu an der revidierten Fassung berechnet."
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)
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# Farbverlauf gruen -> dunkelrot fuer die 4 Antwortstufen (1 = trifft nicht zu, 4 = trifft genau zu).
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ISS20R_BADGE_FARBEN = c(
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"1" = "#4CAF50",
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"2" = "#F48FB1",
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"3" = "#EF5350",
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"4" = "#B71C1C"
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)
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ISS20R_BADGE_TEXT_FARBEN = c(
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"1" = "white",
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"2" = "#333333",
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"3" = "white",
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"4" = "white"
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)
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ISS20R_KLASS_WORD_FARBEN = list(
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unauffaellig = list(bg = "#E8F5E9", text = "#2E7D32"),
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gefaehrdet = list(bg = "#FFF3E0", text = "#E65100"),
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suechtig = list(bg = "#FFEBEE", text = "#B71C1C")
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)
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library(shiny)
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library(dplyr)
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library(ggplot2)
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library(haven)
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library(officer)
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# Infrastruktur ####
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APP_VERZEICHNIS = normalizePath(getwd())
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absPath = function(pfad) {
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if (grepl("^([A-Za-z]:[/\\\\]|/)", pfad)) return(pfad)
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file.path(APP_VERZEICHNIS, pfad)
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}
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PFAD_DOWNLOAD_SKRIPT = normalizePath(absPath(PFAD_DOWNLOAD_SKRIPT), mustWork = FALSE)
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PFAD_PSEUDONYM_SKRIPT = normalizePath(absPath(PFAD_PSEUDONYM_SKRIPT), mustWork = FALSE)
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PFAD_NORMTABELLEN = normalizePath(absPath(PFAD_NORMTABELLEN), mustWork = FALSE)
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# Helper ####
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ISS20R_SUBSKALEN = data.frame(
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kurz = c("KV", "EE", "TT", "NA", "NS"),
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name = c(
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"Kontrollverlust",
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"Entzugserscheinungen",
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"Toleranzentwicklung",
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"Negative Konsequenzen Arbeit/Leistung",
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"Negative Konsequenzen soziale Beziehungen"
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),
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stringsAsFactors = FALSE
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)
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ISS20R_ITEMS = data.frame(
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nr = 1:20,
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var = c(
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"iss01_kv1", "iss02_kv2", "iss03_kv3", "iss04_kv4",
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"iss05_ee1", "iss06_ee2", "iss07_ee3", "iss08_ee4",
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"iss09_tt1", "iss10_tt2", "iss11_tt3", "iss12_tt4",
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"iss13_na1", "iss14_na2", "iss15_na3", "iss16_na4",
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"iss17_ns1", "iss18_ns2", "iss19_ns3", "iss20_ns4"
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),
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subskala = rep(c("KV", "EE", "TT", "NA", "NS"), each = 4),
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stringsAsFactors = FALSE
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)
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ISS20R_ANTWORTSTUFEN = c("trifft nicht zu", "trifft kaum zu", "trifft eher zu", "trifft genau zu")
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ALTERSGRUPPEN_LABEL = c(
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bis19 = "bis 19 Jahre",
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"20_29" = "20-29 Jahre",
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"30_39" = "30-39 Jahre",
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"40_49" = "40-49 Jahre",
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ab50 = "ab 50 Jahre"
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)
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ALTERSGRUPPEN_DATEI = c(
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bis19 = "alter_bis19.csv",
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"20_29" = "alter_20_29.csv",
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"30_39" = "alter_30_39.csv",
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"40_49" = "alter_40_49.csv",
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ab50 = "alter_ab50.csv"
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)
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# Altersgruppe wird ausschliesslich fuer die Auswahl der Normtabelle gebraucht,
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# keine eigene inhaltliche Bedeutung ueber die Testmanual-Vorgabe hinaus.
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iss20r_altersgruppe = function(alter) {
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if (is.null(alter) || length(alter) == 0 || is.na(alter)) return(NA_character_)
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a = as.numeric(alter)
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if (is.na(a)) return(NA_character_)
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if (a <= 19) return("bis19")
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if (a <= 29) return("20_29")
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if (a <= 39) return("30_39")
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if (a <= 49) return("40_49")
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"ab50"
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}
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# Stufe (1-4) IMMER ueber das labels-Attribut der Original-Spalte ableiten,
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# nie ueber eine angenommene Zahl-Text-Zuordnung (Kodierung kann variieren).
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iss20r_item_stufe = function(original_col, wert) {
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if (is.null(wert) || length(wert) == 0) return(NA_integer_)
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w = wert[1]
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if (is.na(w)) return(NA_integer_)
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lbl_attr = attr(original_col, "labels")
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if (!is.null(lbl_attr) && length(lbl_attr) > 0) {
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lbl_sortiert = sort(as.vector(lbl_attr))
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pos = which(lbl_sortiert == as.numeric(w))
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if (length(pos) > 0) return(as.integer(pos[1]))
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}
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if (is.factor(w)) return(as.integer(w))
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txt = gsub("\\*\\*", "", trimws(as.character(w)))
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pos = which(tolower(ISS20R_ANTWORTSTUFEN) == tolower(txt))
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if (length(pos) > 0) return(as.integer(pos[1]))
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# Letzter Fallback: numerischer Rohwert direkt als Stufe (1-4), keine Verschiebung
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# (laut Testmanual entspricht Stufe 1 direkt Rohwert 1, keine 0-Indizierung).
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as.integer(round(as.numeric(w)))
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}
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iss20r_item_anker = function(original_col, wert) {
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if (is.null(wert) || length(wert) == 0) return(NA_character_)
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w = wert[1]
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if (is.na(w)) return(NA_character_)
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lbl_attr = attr(original_col, "labels")
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if (!is.null(lbl_attr) && length(lbl_attr) > 0) {
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pos = which(as.vector(lbl_attr) == as.numeric(w))
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if (length(pos) > 0) return(trimws(gsub("\\*\\*", "", names(lbl_attr)[pos[1]])))
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}
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if (is.factor(w)) return(trimws(gsub("\\*\\*", "", as.character(w))))
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if (is.character(w)) return(trimws(gsub("\\*\\*", "", w)))
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stufe = suppressWarnings(as.integer(round(as.numeric(w))))
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if (!is.na(stufe) && stufe >= 1L && stufe <= 4L) return(ISS20R_ANTWORTSTUFEN[stufe])
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NA_character_
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}
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iss20r_item_label = function(original_col) {
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lbl = attr(original_col, "label")
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if (is.null(lbl) || length(lbl) == 0 || is.na(lbl[1])) return(NA_character_)
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trimws(gsub("\\*\\*", "", as.character(lbl[1])))
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}
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# Geschlecht-Text NIE ueber hartkodierte Zahlenwerte, immer ueber das labels-Attribut.
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iss20r_geschlecht_text = function(original_col, wert) {
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if (is.null(wert) || length(wert) == 0 || is.na(wert[1])) return(NA_character_)
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lbl_attr = attr(original_col, "labels")
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if (!is.null(lbl_attr) && length(lbl_attr) > 0) {
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pos = which(as.vector(lbl_attr) == as.numeric(wert[1]))
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if (length(pos) > 0) return(names(lbl_attr)[pos[1]])
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}
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if (is.factor(wert[1])) return(as.character(wert[1]))
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as.character(wert[1])
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}
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iss20r_geschlecht_norm = function(text) {
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if (is.null(text) || length(text) == 0 || is.na(text)) return(NA_character_)
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if (grepl("^weiblich$", text, ignore.case = TRUE)) return("weiblich")
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# Deckt "maennlich" (ae-Transliteration), "männlich" und "mannlich" ab,
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# da die Schreibweise des Umlauts je nach Sheet-Export variieren kann.
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if (grepl("^m(a|ä|ae)nnlich$", text, ignore.case = TRUE)) return("maennlich")
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NA_character_
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}
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iss20r_klassifikation = function(summenscore) {
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# key bleibt ASCII, da er als CSS-Klassensuffix (klass-<key>) und als Lookup-Name in
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# ISS20R_KLASS_WORD_FARBEN verwendet wird; label ist der Anzeigetext mit Umlauten.
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if (isTRUE(summenscore > 59)) {
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return(list(key = "suechtig", label = "internetsüchtig", farbe = "#B71C1C"))
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}
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if (isTRUE(summenscore >= 50)) {
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return(list(key = "gefaehrdet", label = "internetsuchtgefährdet", farbe = "#E65100"))
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}
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list(key = "unauffaellig", label = "unauffällig", farbe = "#2E7D32")
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}
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# normtabellen: benannte Liste aller 6 geladenen Normtabellen (siehe Datenaufbereitung).
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iss20r_norm_lookup = function(normtabellen, summenscore, altersgruppe, geschlecht) {
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if (is.na(altersgruppe) || is.na(geschlecht) || !(geschlecht %in% c("weiblich", "maennlich"))) {
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tab = normtabellen[["gesamt"]]
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zeile = tab[tab$rohwert == summenscore, , drop = FALSE]
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return(list(
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pr = if (nrow(zeile) > 0) suppressWarnings(as.numeric(zeile$pr_total[1])) else NA_real_,
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t = if (nrow(zeile) > 0) suppressWarnings(as.numeric(zeile$t_total[1])) else NA_real_,
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gruppe_text = "Gesamtstichprobe ohne Alters-/Geschlechtsdifferenzierung",
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fallback = TRUE
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))
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}
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tab = normtabellen[[altersgruppe]]
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zeile = tab[tab$rohwert == summenscore, , drop = FALSE]
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pr_col = paste0("pr_", geschlecht)
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t_col = paste0("t_", geschlecht)
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geschlecht_anzeige = if (geschlecht == "weiblich") "weiblich" else "männlich"
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list(
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pr = if (nrow(zeile) > 0) suppressWarnings(as.numeric(zeile[[pr_col]][1])) else NA_real_,
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t = if (nrow(zeile) > 0) suppressWarnings(as.numeric(zeile[[t_col]][1])) else NA_real_,
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gruppe_text = paste0(ALTERSGRUPPEN_LABEL[[altersgruppe]], ", ", geschlecht_anzeige),
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fallback = FALSE
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)
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}
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make_gauge_iss20r = function(score) {
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ggplot() +
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geom_rect(aes(xmin = 20, xmax = 50, ymin = 0, ymax = 1), fill = "#E8F5E9", color = NA) +
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geom_rect(aes(xmin = 50, xmax = 60, ymin = 0, ymax = 1), fill = "#FFF3E0", color = NA) +
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geom_rect(aes(xmin = 60, xmax = 80, ymin = 0, ymax = 1), fill = "#FFEBEE", color = NA) +
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geom_rect(aes(xmin = 20, xmax = 80, ymin = 0, ymax = 1), fill = NA, color = "#9E9E9E", linewidth = 0.6) +
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geom_vline(xintercept = 50, color = "#E65100", linetype = "dashed", linewidth = 0.8) +
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geom_vline(xintercept = 60, color = "#B71C1C", linetype = "dashed", linewidth = 0.8) +
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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 = 35, y = 0.5, label = "unauffällig",
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color = "#2E7D32", size = 3.3, fontface = "italic") +
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annotate("text", x = 55, y = 0.5, label = "gefährdet",
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color = "#E65100", size = 3.3, fontface = "italic") +
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annotate("text", x = 70, y = 0.5, label = "süchtig",
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color = "#B71C1C", size = 3.3, fontface = "italic") +
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scale_x_continuous(limits = c(17, 83), breaks = c(20, 30, 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 = "ISS-20r Summenscore (20-80)", y = NULL)
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}
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# Datenaufbereitung ####
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iss20r_lade_normtabellen = function(ordner) {
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normtabellen = list()
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for (ag in names(ALTERSGRUPPEN_DATEI)) {
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normtabellen[[ag]] = read.csv(
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file.path(ordner, ALTERSGRUPPEN_DATEI[[ag]]),
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stringsAsFactors = FALSE
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)
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}
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normtabellen[["gesamt"]] = read.csv(
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file.path(ordner, "gesamt_ohne_altersdifferenzierung.csv"),
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stringsAsFactors = FALSE
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)
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normtabellen
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}
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ISS20R_NORMTABELLEN = iss20r_lade_normtabellen(PFAD_NORMTABELLEN)
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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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.hinweis-box {
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background: #F5F5F5; border-left: 5px solid #9E9E9E;
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padding: 12px 16px; border-radius: 4px; color: #555;
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margin-bottom: 12px; font-size: 0.88em; line-height: 1.55;
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}
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.hinweis-box p { margin: 4px 0; }
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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: 140px; }
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.score-zahl { font-size: 2.2rem; font-weight: 800; color: #8B2635; }
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.cutoff-info { font-size: 0.95em; margin-top: 4px; }
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.klass-unauffaellig { color: #2E7D32; font-weight: 700; }
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.klass-gefaehrdet { color: #E65100; font-weight: 700; }
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.klass-suechtig { color: #B71C1C; font-weight: 700; }
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.norm-info { font-size: 0.88em; color: #666; margin-top: 6px; }
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.subskala-zeile {
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display: flex; align-items: center; gap: 10px; padding: 6px 0;
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}
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.subskala-label { min-width: 300px; font-size: 0.92em; color: #333; font-weight: 600; }
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.subskala-balken {
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flex: 1; background: #F0F0F0; border-radius: 4px; height: 14px; overflow: hidden;
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}
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.subskala-fuellung { background: #8B2635; height: 100%; }
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.subskala-wert { min-width: 60px; text-align: right; font-size: 0.9em; color: #555; }
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.subskala-hinweis { font-size: 0.85em; color: #888; font-style: italic; margin-top: 8px; }
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.subskala-titel-item {
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color: #8B2635; font-weight: 700; margin-top: 16px; margin-bottom: 4px;
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font-size: 0.95em; border-bottom: 1px solid #eee; padding-bottom: 3px;
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}
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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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}
|
||
.item-nr { font-weight: 600; color: #8B2635; min-width: 26px; flex-shrink: 0; }
|
||
.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; flex-shrink: 0;
|
||
}
|
||
.stufe-badge-1 { background: #4CAF50; color: white; }
|
||
.stufe-badge-2 { background: #F48FB1; color: #333333; }
|
||
.stufe-badge-3 { background: #EF5350; color: white; }
|
||
.stufe-badge-4 { background: #B71C1C; color: white; }
|
||
"
|
||
|
||
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("ISS-20r – Internetsuchtskala (revidiert)"),
|
||
tags$p("20 Items, 5 Subskalen | Screening, kein diagnostisches Instrument")
|
||
),
|
||
|
||
div(class = "container-fluid",
|
||
|
||
div(class = "input-panel",
|
||
div(style = "min-width: 360px; white-space: nowrap;",
|
||
textInput("pseudonym",
|
||
label = tagList(
|
||
"Pseudonym",
|
||
tags$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")
|
||
),
|
||
div(style = "min-width: 200px;",
|
||
textInput("chiffre", label = "Patientenchiffre",
|
||
placeholder = "z.B. P000123", width = "100%")
|
||
),
|
||
actionButton("btn_suchen", "Auswerten", class = "btn btn-primary btn-laden"),
|
||
div(style = "margin-left: auto;",
|
||
downloadButton("download_word", "Word-Export (.docx)")
|
||
)
|
||
),
|
||
|
||
uiOutput("fehler_ui"),
|
||
uiOutput("warnung_ui"),
|
||
uiOutput("ergebnis_ui")
|
||
)
|
||
)
|
||
|
||
|
||
# Word-Export ####
|
||
|
||
erstelle_iss20r_docx = function(erg) {
|
||
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 = "#777777")
|
||
fp_disclaimer = fp_text(font.size = 9, italic = TRUE, color = "#777777")
|
||
|
||
klass_farben = ISS20R_KLASS_WORD_FARBEN[[erg$klass$key]]
|
||
fp_klass = fp_text(bold = TRUE, font.size = 12,
|
||
color = klass_farben$text, shading.color = klass_farben$bg)
|
||
|
||
doc = body_add_fpar(doc, fpar(ftext("ISS-20r – Auswertung", fp_titel)))
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext("Chiffre: ", fp_label), ftext(erg$chiffre, fp_normal),
|
||
ftext(" Ausfülldatum: ", fp_label), ftext(erg$ausfuelldatum, fp_normal)
|
||
))
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext("Alter: ", fp_label),
|
||
ftext(if (is.na(erg$alter_num)) "k. A." else as.character(erg$alter_num), fp_normal),
|
||
ftext(" Geschlecht: ", fp_label),
|
||
ftext(if (is.na(erg$geschlecht_anzeige)) "k. A." else erg$geschlecht_anzeige, fp_normal)
|
||
))
|
||
if (!is.null(erg$info_mehrere)) {
|
||
doc = body_add_fpar(doc, fpar(ftext(erg$info_mehrere, fp_klein)))
|
||
}
|
||
doc = body_add_par(doc, "", style = "Normal")
|
||
|
||
doc = body_add_fpar(doc, fpar(ftext("Gesamtskala", fp_abschnitt)))
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext("Summenscore: ", fp_label),
|
||
ftext(paste0(erg$gesamtscore, " / 80"), fp_normal)
|
||
))
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext(paste0(toupper(substr(erg$klass$label, 1, 1)), substr(erg$klass$label, 2, nchar(erg$klass$label))),
|
||
fp_klass)
|
||
))
|
||
pr_txt = if (is.na(erg$norm$pr)) "k. A." else sprintf("%.1f", erg$norm$pr)
|
||
t_txt = if (is.na(erg$norm$t)) "k. A." else sprintf("%.1f", erg$norm$t)
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext(paste0("Prozentrang: ", pr_txt, " T-Wert: ", t_txt), fp_normal)
|
||
))
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext(paste0("Verwendete Norm-Untergruppe: ", erg$norm$gruppe_text), fp_klein)
|
||
))
|
||
doc = body_add_par(doc, "", style = "Normal")
|
||
|
||
doc = body_add_fpar(doc, fpar(ftext("Subskalen (Rohwerte, kein Normvergleich verfügbar)", fp_abschnitt)))
|
||
for (i in seq_len(nrow(ISS20R_SUBSKALEN))) {
|
||
kurz = ISS20R_SUBSKALEN$kurz[i]
|
||
name = ISS20R_SUBSKALEN$name[i]
|
||
wert = erg$subskalen_werte[[kurz]]
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext(paste0(kurz, " – ", name, ": "), fp_label),
|
||
ftext(paste0(wert, " / 16"), fp_normal)
|
||
))
|
||
}
|
||
doc = body_add_par(doc, "", style = "Normal")
|
||
|
||
doc = body_add_fpar(doc, fpar(ftext(ISS20R_HINWEIS_CUTOFF, fp_klein)))
|
||
doc = body_add_par(doc, "", style = "Normal")
|
||
doc = body_add_fpar(doc, fpar(ftext(ISS20R_HINWEIS_NORMBASIS, fp_klein)))
|
||
doc = body_add_par(doc, "", style = "Normal")
|
||
|
||
doc = body_add_fpar(doc, fpar(ftext("Einzelitems", fp_abschnitt)))
|
||
for (sk_i in seq_len(nrow(ISS20R_SUBSKALEN))) {
|
||
kurz = ISS20R_SUBSKALEN$kurz[sk_i]
|
||
name = ISS20R_SUBSKALEN$name[sk_i]
|
||
doc = body_add_fpar(doc, fpar(ftext(paste0(kurz, " – ", name), fp_label)))
|
||
|
||
vars = ISS20R_ITEMS$var[ISS20R_ITEMS$subskala == kurz]
|
||
nrs = ISS20R_ITEMS$nr[ISS20R_ITEMS$subskala == kurz]
|
||
for (j in seq_along(vars)) {
|
||
v = vars[j]
|
||
nr = nrs[j]
|
||
stufe = erg$item_stufen[[v]]
|
||
anker = erg$item_anker[[v]]
|
||
stufe_key = if (!is.na(stufe) && stufe >= 1L && stufe <= 4L) as.character(stufe) else "1"
|
||
anker_txt = if (!is.na(anker)) anker else ISS20R_ANTWORTSTUFEN[as.integer(stufe_key)]
|
||
item_txt = if (!is.na(erg$item_texte[[v]])) erg$item_texte[[v]] else paste0("Item ", nr)
|
||
|
||
fp_badge = fp_text(
|
||
color = ISS20R_BADGE_TEXT_FARBEN[[stufe_key]],
|
||
bold = TRUE,
|
||
shading.color = ISS20R_BADGE_FARBEN[[stufe_key]],
|
||
font.size = 10
|
||
)
|
||
doc = body_add_fpar(doc, fpar(
|
||
ftext(paste0(nr, ". ", item_txt, " "), fp_normal),
|
||
ftext(paste0(" ", anker_txt, " "), fp_badge)
|
||
))
|
||
}
|
||
}
|
||
|
||
doc = body_add_par(doc, "", style = "Normal")
|
||
doc = body_add_fpar(doc, fpar(ftext(ISS20R_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$btn_suchen, {
|
||
|
||
chiffre = toupper(trimws(input$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}$", chiffre))) {
|
||
return(list(error = paste0(
|
||
"Ungültige Chiffre. Erwartet: ein Grossbuchstabe + 6 Ziffern (z.B. P000123).")))
|
||
}
|
||
|
||
if (!file.exists(PFAD_DOWNLOAD_SKRIPT)) {
|
||
return(list(error = paste0(
|
||
"Download-Skript nicht gefunden:\n", PFAD_DOWNLOAD_SKRIPT)))
|
||
}
|
||
if (!file.exists(PFAD_PSEUDONYM_SKRIPT)) {
|
||
return(list(error = paste0(
|
||
"Pseudonym-Skript nicht gefunden:\n", PFAD_PSEUDONYM_SKRIPT)))
|
||
}
|
||
|
||
res_dl = tryCatch({
|
||
source(PFAD_DOWNLOAD_SKRIPT, local = FALSE)
|
||
list(ok = TRUE)
|
||
}, error = function(e) list(ok = FALSE, msg = e$message))
|
||
if (!res_dl$ok) return(list(error = paste0("Fehler im Download-Skript: ", res_dl$msg)))
|
||
|
||
db_ordner = local({
|
||
ordner = dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
|
||
gefunden = NULL
|
||
for (i in 1:5) {
|
||
if (file.exists(file.path(ordner, "pseudonyme.db"))) {
|
||
gefunden = ordner
|
||
break
|
||
}
|
||
elternteil = dirname(ordner)
|
||
if (elternteil == ordner) break
|
||
ordner = elternteil
|
||
}
|
||
gefunden
|
||
})
|
||
|
||
alter_wd = getwd()
|
||
wd_ziel = if (!is.null(db_ordner)) db_ordner else
|
||
dirname(normalizePath(PFAD_PSEUDONYM_SKRIPT, mustWork = FALSE))
|
||
setwd(wd_ziel)
|
||
on.exit(setwd(alter_wd), add = TRUE)
|
||
|
||
res_ps = tryCatch({
|
||
source(PFAD_PSEUDONYM_SKRIPT, local = FALSE)
|
||
if (nchar(trimws(input$pseudonym)) > 0) {
|
||
.pw_wert = trimws(input$pseudonym)
|
||
.pw_tab = get("pseudo", envir = .GlobalEnv)
|
||
.pw_treffer = .pw_tab[.pw_tab$pseudonym == .pw_wert, ]
|
||
if (nrow(.pw_treffer) > 0) chiffre = toupper(trimws(.pw_treffer$chiffre[1]))
|
||
}
|
||
list(ok = TRUE)
|
||
}, error = function(e) list(ok = FALSE, msg = e$message))
|
||
if (!res_ps$ok) return(list(error = paste0("Fehler im Pseudonym-Skript: ", res_ps$msg)))
|
||
|
||
if (!exists("daten_iss20r", envir = .GlobalEnv)) {
|
||
return(list(error = paste0(
|
||
"Objekt 'daten_iss20r' nach dem Sourcen nicht gefunden. Bitte Download-Skript prüfen.")))
|
||
}
|
||
if (!exists("pseudo", envir = .GlobalEnv)) {
|
||
return(list(error = paste0(
|
||
"Objekt 'pseudo' nach dem Sourcen nicht gefunden. Bitte Pseudonym-Skript prüfen.")))
|
||
}
|
||
|
||
daten = get("daten_iss20r", envir = .GlobalEnv)
|
||
pseudo_df = get("pseudo", envir = .GlobalEnv)
|
||
|
||
treffer_ps = pseudo_df[pseudo_df$chiffre == chiffre, ]
|
||
if (nrow(treffer_ps) == 0) {
|
||
return(list(error = paste0(
|
||
"Chiffre '", chiffre, "' wurde in der Pseudonym-Datenbank nicht gefunden.")))
|
||
}
|
||
alle_session_ids = unique(treffer_ps$pseudonym)
|
||
if (nchar(trimws(input$pseudonym)) > 0) alle_session_ids = trimws(input$pseudonym)
|
||
|
||
treffer_dat = daten[daten$session %in% alle_session_ids, ]
|
||
if (nrow(treffer_dat) == 0) {
|
||
return(list(error = paste0(
|
||
"Kein ISS-20r-Datensatz für Chiffre '", chiffre, "' gefunden. ",
|
||
"(", length(alle_session_ids), " Pseudonym(e) geprüft)")))
|
||
}
|
||
|
||
warnungen = character(0)
|
||
if (nrow(treffer_dat) > 1) {
|
||
n = nrow(treffer_dat)
|
||
treffer_dat = treffer_dat[order(treffer_dat$created, decreasing = TRUE), ]
|
||
datum_neu = tryCatch(
|
||
format(as.POSIXct(treffer_dat$created[1]), "%d.%m.%Y %H:%M"),
|
||
error = function(e) "unbekanntes Datum"
|
||
)
|
||
warnungen = c(warnungen, paste0(
|
||
"Mehrere Ausfüllungen gefunden (", n, " Einträge). ",
|
||
"Angezeigt wird die neueste vom ", datum_neu, "."
|
||
))
|
||
treffer_dat = treffer_dat[1, , drop = FALSE]
|
||
}
|
||
|
||
zeile = treffer_dat[1, , drop = FALSE]
|
||
|
||
ausfuelldatum = tryCatch(
|
||
format(as.POSIXct(zeile[["created"]][1]), "%d.%m.%Y"),
|
||
error = function(e) format(Sys.Date(), "%d.%m.%Y")
|
||
)
|
||
|
||
alter_num = suppressWarnings(as.numeric(zeile[["alter"]][1]))
|
||
altersgruppe = iss20r_altersgruppe(alter_num)
|
||
|
||
geschlecht_anzeige = iss20r_geschlecht_text(daten[["geschlecht"]], zeile[["geschlecht"]])
|
||
geschlecht_norm = iss20r_geschlecht_norm(geschlecht_anzeige)
|
||
|
||
item_stufen = setNames(
|
||
sapply(ISS20R_ITEMS$var, function(v) iss20r_item_stufe(daten[[v]], zeile[[v]])),
|
||
ISS20R_ITEMS$var
|
||
)
|
||
item_anker = setNames(
|
||
sapply(ISS20R_ITEMS$var, function(v) iss20r_item_anker(daten[[v]], zeile[[v]])),
|
||
ISS20R_ITEMS$var
|
||
)
|
||
item_texte = setNames(
|
||
sapply(ISS20R_ITEMS$var, function(v) iss20r_item_label(daten[[v]])),
|
||
ISS20R_ITEMS$var
|
||
)
|
||
|
||
gesamtscore = sum(item_stufen, na.rm = TRUE)
|
||
|
||
subskalen_werte = setNames(
|
||
sapply(ISS20R_SUBSKALEN$kurz, function(sk) {
|
||
vars = ISS20R_ITEMS$var[ISS20R_ITEMS$subskala == sk]
|
||
sum(item_stufen[vars], na.rm = TRUE)
|
||
}),
|
||
ISS20R_SUBSKALEN$kurz
|
||
)
|
||
|
||
klass = iss20r_klassifikation(gesamtscore)
|
||
norm = iss20r_norm_lookup(ISS20R_NORMTABELLEN, gesamtscore, altersgruppe, geschlecht_norm)
|
||
|
||
if (isTRUE(norm$fallback)) {
|
||
warnungen = c(warnungen, paste0(
|
||
"Alter und/oder Geschlecht konnten nicht eindeutig zugeordnet werden. ",
|
||
"Es wurde die Gesamtstichprobe ohne Alters-/Geschlechtsdifferenzierung als Norm verwendet."
|
||
))
|
||
}
|
||
|
||
list(
|
||
chiffre = chiffre,
|
||
ausfuelldatum = ausfuelldatum,
|
||
info_mehrere = if (length(warnungen) > 0) warnungen[1] else NULL,
|
||
warnungen = warnungen,
|
||
alter_num = alter_num,
|
||
geschlecht_anzeige = geschlecht_anzeige,
|
||
item_stufen = item_stufen,
|
||
item_anker = item_anker,
|
||
item_texte = item_texte,
|
||
gesamtscore = gesamtscore,
|
||
subskalen_werte = subskalen_werte,
|
||
klass = klass,
|
||
norm = norm,
|
||
error = NULL
|
||
)
|
||
})
|
||
|
||
output$fehler_ui = renderUI({
|
||
req(input$btn_suchen)
|
||
d = ergebnis_r()
|
||
if (!is.null(d$error)) div(class = "alert-fehler", d$error)
|
||
})
|
||
|
||
output$warnung_ui = renderUI({
|
||
req(input$btn_suchen)
|
||
d = ergebnis_r()
|
||
if (!is.null(d$error) || length(d$warnungen) == 0) return(NULL)
|
||
tagList(lapply(d$warnungen, function(w) div(class = "alert-warnung", w)))
|
||
})
|
||
|
||
output$ergebnis_ui = renderUI({
|
||
req(input$btn_suchen)
|
||
d = ergebnis_r()
|
||
if (!is.null(d$error)) return(NULL)
|
||
|
||
klass_css = paste0("klass-", d$klass$key)
|
||
pr_txt = if (is.na(d$norm$pr)) "k. A." else sprintf("%.1f", d$norm$pr)
|
||
t_txt = if (is.na(d$norm$t)) "k. A." else sprintf("%.1f", d$norm$t)
|
||
|
||
subskalen_ui = lapply(seq_len(nrow(ISS20R_SUBSKALEN)), function(i) {
|
||
kurz = ISS20R_SUBSKALEN$kurz[i]
|
||
name = ISS20R_SUBSKALEN$name[i]
|
||
wert = d$subskalen_werte[[kurz]]
|
||
pct = max(0, min(100, (wert - 4) / (16 - 4) * 100))
|
||
div(class = "subskala-zeile",
|
||
div(class = "subskala-label", paste0(kurz, " – ", name)),
|
||
div(class = "subskala-balken",
|
||
div(class = "subskala-fuellung", style = paste0("width:", pct, "%;"))
|
||
),
|
||
div(class = "subskala-wert", paste0(wert, " / 16"))
|
||
)
|
||
})
|
||
|
||
items_ui = lapply(seq_len(nrow(ISS20R_SUBSKALEN)), function(sk_i) {
|
||
kurz = ISS20R_SUBSKALEN$kurz[sk_i]
|
||
name = ISS20R_SUBSKALEN$name[sk_i]
|
||
vars = ISS20R_ITEMS$var[ISS20R_ITEMS$subskala == kurz]
|
||
nrs = ISS20R_ITEMS$nr[ISS20R_ITEMS$subskala == kurz]
|
||
|
||
zeilen = lapply(seq_along(vars), function(j) {
|
||
v = vars[j]
|
||
nr = nrs[j]
|
||
stufe = d$item_stufen[[v]]
|
||
anker = d$item_anker[[v]]
|
||
sk_key = if (!is.na(stufe) && stufe >= 1L && stufe <= 4L) as.character(stufe) else "1"
|
||
anker_txt = if (!is.na(anker)) anker else ISS20R_ANTWORTSTUFEN[as.integer(sk_key)]
|
||
item_txt = if (!is.na(d$item_texte[[v]])) d$item_texte[[v]] else paste0("Item ", nr)
|
||
|
||
div(class = "item-zeile",
|
||
div(class = "item-nr", paste0(nr, ".")),
|
||
div(class = "item-text", item_txt),
|
||
span(class = paste0("stufe-badge stufe-badge-", sk_key), anker_txt)
|
||
)
|
||
})
|
||
|
||
tagList(
|
||
div(class = "subskala-titel-item", paste0(kurz, " – ", name)),
|
||
zeilen
|
||
)
|
||
})
|
||
|
||
div(class = "abschnitt-karte",
|
||
div(class = "abschnitt-titel", "ISS-20r"),
|
||
|
||
div(class = "meta-block",
|
||
tags$strong("Chiffre: "), d$chiffre,
|
||
tags$span(" | ", style = "color:#ccc;"),
|
||
tags$strong("Ausfülldatum: "), d$ausfuelldatum,
|
||
tags$span(" | ", style = "color:#ccc;"),
|
||
tags$strong("Alter: "), if (is.na(d$alter_num)) "k. A." else d$alter_num,
|
||
tags$span(" | ", style = "color:#ccc;"),
|
||
tags$strong("Geschlecht: "), if (is.na(d$geschlecht_anzeige)) "k. A." else d$geschlecht_anzeige
|
||
),
|
||
|
||
tags$hr(),
|
||
|
||
fluidRow(
|
||
column(3,
|
||
div(
|
||
div(class = "score-zahl", d$gesamtscore),
|
||
div("Summenscore (20-80)", style = "color:#555;"),
|
||
div(class = "cutoff-info",
|
||
span(class = klass_css, tools::toTitleCase(d$klass$label))
|
||
),
|
||
div(class = "norm-info",
|
||
paste0("Prozentrang: ", pr_txt, " T-Wert: ", t_txt)
|
||
),
|
||
div(class = "norm-info", d$norm$gruppe_text)
|
||
)
|
||
),
|
||
column(9, plotOutput("gauge_plot", height = "160px"))
|
||
),
|
||
|
||
tags$hr(),
|
||
|
||
tags$h5("Subskalen"),
|
||
div(subskalen_ui),
|
||
div(class = "subskala-hinweis", "Rohwert je Subskala (4-16), kein Normvergleich verfügbar."),
|
||
|
||
tags$hr(),
|
||
|
||
div(class = "hinweis-box",
|
||
tags$p(ISS20R_HINWEIS_CUTOFF),
|
||
tags$p(ISS20R_HINWEIS_NORMBASIS)
|
||
),
|
||
|
||
tags$hr(),
|
||
|
||
tags$h5("Einzelitems"),
|
||
div(items_ui)
|
||
)
|
||
})
|
||
|
||
output$gauge_plot = renderPlot({
|
||
req(input$btn_suchen)
|
||
d = ergebnis_r()
|
||
req(is.null(d$error))
|
||
make_gauge_iss20r(d$gesamtscore)
|
||
}, bg = "transparent")
|
||
|
||
output$download_word = downloadHandler(
|
||
filename = function() {
|
||
d = tryCatch(ergebnis_r(), error = function(e) NULL)
|
||
chiffre_esc = if (is.list(d) && is.null(d$error) && nchar(d$chiffre) > 0)
|
||
d$chiffre else "export"
|
||
ausfuelldatum_fn = if (is.list(d) && is.null(d$error) && !is.null(d$ausfuelldatum))
|
||
tryCatch(
|
||
format(as.Date(d$ausfuelldatum, "%d.%m.%Y"), "%Y%m%d"),
|
||
error = function(e) format(Sys.Date(), "%Y%m%d")
|
||
)
|
||
else
|
||
format(Sys.Date(), "%Y%m%d")
|
||
paste0("ISS20R_", chiffre_esc, "_", ausfuelldatum_fn, ".docx")
|
||
},
|
||
content = function(file) {
|
||
d = tryCatch(ergebnis_r(), error = function(e) NULL)
|
||
daten_ok = is.list(d) && is.null(d$error)
|
||
if (!daten_ok) {
|
||
doc = read_docx()
|
||
doc = body_add_par(doc,
|
||
"Kein Datensatz geladen. Bitte zuerst Chiffre eingeben und 'Auswerten' klicken.",
|
||
style = "Normal")
|
||
print(doc, target = file)
|
||
return()
|
||
}
|
||
doc = tryCatch(
|
||
erstelle_iss20r_docx(d),
|
||
error = function(e) {
|
||
err_doc = read_docx()
|
||
body_add_par(err_doc,
|
||
paste0("Fehler beim Erstellen des Word-Dokuments: ", e$message),
|
||
style = "Normal")
|
||
}
|
||
)
|
||
print(doc, target = file)
|
||
}
|
||
)
|
||
}
|
||
|
||
|
||
# Start ####
|
||
|
||
shinyApp(ui, server)
|