title: [Teamwork and team success in multi- and interdisciplinary teams in medical rehabilitation].
abstract: Multidisciplinary or interdisciplinary team models are often used to describe teams in medical rehabilitation. There is only little evidence whether these models are used in the daily routine of medical rehabilitation and to what extent the quality (team work) and effectiveness (team success) differ between the models. For the present study an interview guide was designed to assess the team models. In each of the six clinics phone interviews were conducted with one member of the management. Data on teamwork and team success were collected with a staff questionnaire. The questionnaires were distributed to all employees (n = 266; response rate n = 127, 48%) of the six teams. Two teams were classified as interdisciplinary teams and four teams as multidisciplinary. The comparison between the two models shows better results for the interdisciplinary team model. Several methodical restrictions (e. g. unconsidered moderator variables, representativeness of the sample) need to be considered. Systematic analyses of teamwork as presented are essential to identify the conditions of successful teamwork and also form the basis for implementation of team development measures in medical rehabilitation.
authors.affiliation: Abteilung für Rehabilitationspsychologie, Institut für Psychologie, Albert-Ludwigs-Universität Freiburg. mirjam.koerner@psychologie.uni-freiburg.de
authors.forename: M
authors.initials: M
authors.lastname: Körner
authors.forename: J
authors.initials: J
authors.lastname: Bengel
mesh_terms: D003625:Data Collection; D005858:Germany / Q000453:epidemiology; D017063:Outcome Assessment, Health Care / Q000379:methods*; D010348:Patient Care Team / Q000145:classification* / Q000458:organization & administration / Q000706:statistics & numerical data*; D010818:Practice Patterns, Physicians' / Q000458:organization & administration / Q000706:statistics & numerical data*; D012046:Rehabilitation / Q000458:organization & administration / Q000706:statistics & numerical data*