BACKGROUND: The taxonomy of treatment-goal themes of the Bern Inventory of Treatment Goals (BIT-T) has shown to be a comprehensive coding system for outpatient use. AIM: The current study examines the value of the BIT-T for treatment planning and outcome evaluation of psychiatric inpatients. METHOD: The 1991 treatment goals of 675 predominantly non-psychotic psychiatric inpatients were coded using the BIT-T. Ratings of goal-related changes by patients and length of stay were used as outcome criteria. RESULTS: The BIT-T showed to be reliable and exhaustive. Distributions of goal themes are partially associated with diagnoses. Goal-related improvements as well as length of hospital stay differed depending on the themes of patients' treatment goals. CONCLUSIONS: Coding of treatment-goal themes with the BIT-T provides researchers as well as practitioners with valuable information that goes beyond psychopathological diagnoses. This information can be used clinically for treatment planning as well as outcome evaluation.
BACKGROUND: The taxonomy of treatment-goal themes of the Bern Inventory of Treatment Goals (BIT-T) has shown to be a comprehensive coding system for outpatient use. AIM: The current study examines the value of the BIT-T for treatment planning and outcome evaluation of psychiatric inpatients. METHOD: The 1991 treatment goals of 675 predominantly non-psychotic psychiatric inpatients were coded using the BIT-T. Ratings of goal-related changes by patients and length of stay were used as outcome criteria. RESULTS: The BIT-T showed to be reliable and exhaustive. Distributions of goal themes are partially associated with diagnoses. Goal-related improvements as well as length of hospital stay differed depending on the themes of patients' treatment goals. CONCLUSIONS: Coding of treatment-goal themes with the BIT-T provides researchers as well as practitioners with valuable information that goes beyond psychopathological diagnoses. This information can be used clinically for treatment planning as well as outcome evaluation.
Authors: Alicia A Heapy; Laura Wandner; Mary A Driscoll; Kathryn LaChappelle; Rebecca Czlapinski; Brenda T Fenton; John D Piette; James E Aikens; Mary R Janevic; Robert D Kerns Journal: J Behav Med Date: 2017-09-21
Authors: Frank Petrak; Martin Hautzinger; Kristin Plack; Kai Kronfeld; Christian Ruckes; Stephan Herpertz; Matthias J Müller Journal: BMC Geriatr Date: 2010-05-04 Impact factor: 3.921
Authors: Jian Li; Natalie Riedel; Amira Barrech; Raphael M Herr; Birgit Aust; Kathrin Mörtl; Johannes Siegrist; Harald Gündel; Peter Angerer Journal: Biomed Res Int Date: 2017-10-18 Impact factor: 3.411