Untersuchungsziel: Untersucht wurden Auswirkungen einer ambulanten orthopädischen Rehabilitation nach der Implantation einer Hüft- bzw. Knieendoprothese auf die individuelle Lebensqualität. Um zu erkennen, ob Zusammenhänge von individuellen Parametern wie Geschlecht, Alter, Bildungsstand und dem Rehabilitationsverlauf bzw. –ergebnis bestehen, wurden medizinisch-funktionelle und psychosoziale Daten erhoben, sowie ergänzende Variablen durch Schichtenindices und mittels eines strukturierten Interviews erfasst. Methode: Systematische Datenerhebung von medizinisch funktionellen (Gelenkbeweglichkeit, Muskelkraft) und psychosozialen (Aktivitäten des täglichen Lebens) Daten von n=60 Pat. mit Knie-TEP und n=61 Pat. mit Hüft-TEP zu vier Messzeitpunkten (Anfang Reha=t0, Ende Reha=t1, 6 Monate nach Reha= t2 und 24 Monate nach Reha= t3) und strukturiertes Interview zur Erfassung von soziodemographischen Merkmalen, Motivation und Behandlungszuversicht. Analysemethoden: Signifikanzanalyse und Berechnung der Effektstärke (Cohens d) der Veränderungen zwischen t0 – t1 für abhängige Stichproben (getrennt nach Indikation), Längsschnittdarstellung der funktionellen und psychosozialen Parameter mit deskriptivstatistischen Analysen getrennt nach Indikation und Geschlecht. Ergebnisse: Für beide Indikationen ergaben sich hohe Effekte für Verbesserungen der funktionellen Parameter und mittlere (teilhabebezogen) bzw. hohe (aktivitätsbezogen) Effekte bei den psychosozialen Parametern am Ende der Rehabilitation. Die teilstandardisierten Rehabilitationsmaßnahmen wirken sich indikations- und geschlechtsbezogen unterschiedlich aus. Unter Beachtung der psychophysischen Leistungsvoraussetzungen und sozialen Rahmenbedingungen ist die ambulante Rehabilitation gut geeignet für Patienten im höheren Lebensalter. / Study objective: Effects of an outpatient orthopedic rehabilitation after the implantation of a hip or knee replacement on the individual quality of life were studied. In order to analyze the existence of significant relationships between individual parameters such as gender, age, education and the rehabilitation outcome medical-functional and psychosocial data were collected, and additional layers of indices and variables by using a structured interview were applied. Method: Systematic data collection from medical functional (joint mobility, muscle strength) and psychosocial (activities of daily living) data of n = 60 patient with total knee replacement and n = 61 patient with total hip replacement to four time points (beginning of rehabilitation = t0, end rehab = t1, t2 = 6 months after rehabilitation and 24 months after discharge = t3) and structured interview for socio-demographic characteristics, motivation and confidence in treatment Analysis: Significance analysis and calculation of effect size (Cohen''s d) of the changes between t0 and t1 for dependent samples (separated by indication), longitudinal section view of the functional and psychosocial parameters with descriptive-statistical analyses apart from indication and sex Results: For both indications high effects of improvement in functional parameters, mean effects (participatory based) and high (activity-related) effects on the psycho-social parameters at the end of rehabilitation could be identified. The semi-standardized rehabilitation measures had shown differences by indication just like gender. In accordance with the psychophysical performance conditions and social environment outpatient rehabilitation is well suited for patients in advanced age.

Mit der vorliegenden Arbeit werden aktuelle Anwendungsbereiche der Lebensqualitätsforschung innerhalb der klinischen Medizin dargestellt. Besonderes Gewicht wurde dabei auf die Erläuterung der Grundlagen der Lebensqualitätsforschung und der derzeit verbreiteten Konzepte, die Diskussion aktueller und zukünftiger Messmethoden sowie die Darstellung einiger typischer Anwendungen gelegt. Der letzte Teil der Arbeit weist auf die bereits erkennbaren Grenzen und ethischen Konsequenzen dieser Forschungsrichtung hin. In der Habilitationsschrift werden verschiedene Originalarbeiten zusammengefasst, denen jeweils eine allgemeine Einführung zur leichteren thematische Einordnung vorangestellt ist. / This volume demonstrates the present scope of 'Quality of Life' research within a clinical context. Different chapters describe the foundations and the development of 'Quality of Life' research, presently used concepts, discussions about appropriate measurement models and some perspectives for an improvement of psychometric methods. Further, different applications and purposes to use 'Quality of Life' instruments in a clinical context are demonstrated. The last part discusses particular ethical consequences and other limitations of 'Quality of Life' research. All chapters combine introductory sections with published original works.

BACKGROUND: Prolonged mechanical ventilation for acute medical conditions increases the risk of chronic critical illness (CCI). Close family members are confronted with the life-threatening condition of the CCI patients and are prone to develop posttraumatic stress disorder affecting their health-related quality of life (HRQL). Main aim of the present study was to investigate patient- and family-related risk factors for posttraumatic stress and decreased HRQL in family members of CCI patients. METHODS: In a cross-sectional design nested within a prospective longitudinal cohort study, posttraumatic stress symptoms and quality of life were assessed in family members of CCI patients (n = 83, aged between 18 and 72 years) up to 6 months after transfer from ICU at acute care hospital to post-acute rehabilitation. Patients admitted a large rehabilitation hospital for ventilator weaning. The Posttraumatic Stress Scale-10 and the Euro-Quality of life-5D-3L were applied in both patients and their family members via telephone interview. RESULTS: A significant proportion of CCI patients and their family members (14.5 and 15.7 %, respectively) showed clinically relevant scores of posttraumatic stress. Both CCI patients and family members reported poorer HRQL than a normative sample. Factors independently associated with posttraumatic stress in family members were the time following ICU discharge (β = .256, 95 % confidence interval .053-.470) and the patients\' diagnosis of PTSD (β = .264, 95 % confidence interval .045-.453). Perceived satisfaction with the relationship turned out to be a protective factor for posttraumatic stress in family members of CCI patients (β = -.231, 95 % confidence interval -.423 to -.015). Regarding HRQL in family members, patients\' acute posttraumatic stress at ICU (β = -.290, 95 % confidence interval -.360 to -.088) and their own posttraumatic stress 3 to 6 months post-transfer (β = -.622, 95 % confidence interval -.640 to -.358) turned out to be significant predictors. CONCLUSIONS: Posttraumatic stress and HRQL should be routinely assessed in family members of CCI patients at regular intervals starting early at ICU. Preventive family-centered interventions are needed to improve posttraumatic stress and HRQL in both patients and their family members.

BACKGROUND: Prolonged mechanical ventilation for acute medical conditions increases the risk of chronic critical illness (CCI). Close family members are confronted with the life-threatening condition of the CCI patients and are prone to develop posttraumatic stress disorder affecting their health-related quality of life (HRQL). Main aim of the present study was to investigate patient- and family-related risk factors for posttraumatic stress and decreased HRQL in family members of CCI patients. METHODS: In a cross-sectional design nested within a prospective longitudinal cohort study, posttraumatic stress symptoms and quality of life were assessed in family members of CCI patients (n = 83, aged between 18 and 72 years) up to 6 months after transfer from ICU at acute care hospital to post-acute rehabilitation. Patients admitted a large rehabilitation hospital for ventilator weaning. The Posttraumatic Stress Scale-10 and the Euro-Quality of life-5D-3L were applied in both patients and their family members via telephone interview. RESULTS: A significant proportion of CCI patients and their family members (14.5 and 15.7 %, respectively) showed clinically relevant scores of posttraumatic stress. Both CCI patients and family members reported poorer HRQL than a normative sample. Factors independently associated with posttraumatic stress in family members were the time following ICU discharge (β = .256, 95 % confidence interval .053-.470) and the patients\' diagnosis of PTSD (β = .264, 95 % confidence interval .045-.453). Perceived satisfaction with the relationship turned out to be a protective factor for posttraumatic stress in family members of CCI patients (β = -.231, 95 % confidence interval -.423 to -.015). Regarding HRQL in family members, patients\' acute posttraumatic stress at ICU (β = -.290, 95 % confidence interval -.360 to -.088) and their own posttraumatic stress 3 to 6 months post-transfer (β = -.622, 95 % confidence interval -.640 to -.358) turned out to be significant predictors. CONCLUSIONS: Posttraumatic stress and HRQL should be routinely assessed in family members of CCI patients at regular intervals starting early at ICU. Preventive family-centered interventions are needed to improve posttraumatic stress and HRQL in both patients and their family members.