H Baumeister1, L Nowoczin2, J Lin3, H Seifferth2, J Seufert4, K Laubner4, D D Ebert5. 1. Department of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, University of Freiburg, Germany; Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Germany. Electronic address: baumeister@psychologie.uni-freiburg.de. 2. Department of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, University of Freiburg, Germany. 3. Department of Rehabilitation Psychology and Psychotherapy, Institute of Psychology, University of Freiburg, Germany; Medical Psychology and Medical Sociology, Faculty of Medicine, University of Freiburg, Germany. 4. Endocriniology and Diabetology, University Medical Center Freiburg, Germany. 5. Leuphana University, Innovation Incubator, Division Health Trainings Online, Lueneburg, Germany; Philipps University Marburg, Department of Psychology, Clinical Psychology and Psychotherapy, Marburg, Germany.
Abstract
AIMS: To (1) determine diabetes patients' acceptance of Internet-based interventions (IBIs) for depression, to (2) examine the effectiveness of an acceptance facilitating intervention (AFI) and to (3) explore subgroup specific effects. METHODS:141 diabetes patients from two inpatient rehabilitation units and one outpatient clinic in Germany were randomly allocated to an intervention (IG) and a no-intervention control group (CG). The IG received an AFI consisting of a personal information session before filling-out a questionnaire on patients' acceptance of IBIs, predictors of acceptance (performance expectancy, effort expectancy, social influence, facilitating conditions, and Internet anxiety) as well as sociodemographic, depression-related and diabetes-related variables. The CG filled out the questionnaire immediately. Patients' acceptance of IBIs was measured with a four-item scale (sum-score ranging from 4 to 20). RESULTS: The CG showed a low (50.7%) to medium (40.8%) acceptance with only 8.5% of all diabetes patients reporting a high acceptance of IBIs for depression. The AFI had no significant effect on acceptance (IG: M=10.55, SD=4.69, n=70; KG: M=9.65, SD=4.27, n=71; d=0.20 [95%-CI: -0.13;0.53]) and the predictors of acceptance. Yet, subgroup analyses yielded a trend for depressed, diabetes-related distressed, female and younger (<59) participants and for those who do not frequently use the Internet to profit from the AFI. CONCLUSION:Diabetes patients show a rather low acceptance toward IBIs for depression. Findings indicate that the AFI is likely to be effective in the subgroup of depressed, diabetes-related distressed, female or younger diabetes patients, but not in the whole target population. Hence, AFIs might need to be tailored to the specific needs of subpopulations.
RCT Entities:
AIMS: To (1) determine diabetespatients' acceptance of Internet-based interventions (IBIs) for depression, to (2) examine the effectiveness of an acceptance facilitating intervention (AFI) and to (3) explore subgroup specific effects. METHODS: 141 diabetespatients from two inpatient rehabilitation units and one outpatient clinic in Germany were randomly allocated to an intervention (IG) and a no-intervention control group (CG). The IG received an AFI consisting of a personal information session before filling-out a questionnaire on patients' acceptance of IBIs, predictors of acceptance (performance expectancy, effort expectancy, social influence, facilitating conditions, and Internet anxiety) as well as sociodemographic, depression-related and diabetes-related variables. The CG filled out the questionnaire immediately. Patients' acceptance of IBIs was measured with a four-item scale (sum-score ranging from 4 to 20). RESULTS: The CG showed a low (50.7%) to medium (40.8%) acceptance with only 8.5% of all diabetespatients reporting a high acceptance of IBIs for depression. The AFI had no significant effect on acceptance (IG: M=10.55, SD=4.69, n=70; KG: M=9.65, SD=4.27, n=71; d=0.20 [95%-CI: -0.13;0.53]) and the predictors of acceptance. Yet, subgroup analyses yielded a trend for depressed, diabetes-related distressed, female and younger (<59) participants and for those who do not frequently use the Internet to profit from the AFI. CONCLUSION:Diabetespatients show a rather low acceptance toward IBIs for depression. Findings indicate that the AFI is likely to be effective in the subgroup of depressed, diabetes-related distressed, female or younger diabetespatients, but not in the whole target population. Hence, AFIs might need to be tailored to the specific needs of subpopulations.
Authors: Jiaxi Lin; Sarah Paganini; Lasse Sander; Marianne Lüking; David Daniel Ebert; Monica Buhrman; Gerhard Andersson; Harald Baumeister Journal: Dtsch Arztebl Int Date: 2017-10-13 Impact factor: 5.594
Authors: Severin Hennemann; Michael Witthöft; Matthias Bethge; Katja Spanier; Manfred E Beutel; Rüdiger Zwerenz Journal: Int Arch Occup Environ Health Date: 2017-11-30 Impact factor: 3.015
Authors: Martien J P van Bussel; Gaby J Odekerken-Schröder; Carol Ou; Rachelle R Swart; Maria J G Jacobs Journal: BMC Health Serv Res Date: 2022-07-09 Impact factor: 2.908
Authors: David Daniel Ebert; Marvin Franke; Fanny Kählke; Ann-Marie Küchler; Ronny Bruffaerts; Philippe Mortier; Eirini Karyotaki; Jordi Alonso; Pim Cuijpers; Matthias Berking; Randy P Auerbach; Ronald C Kessler; Harald Baumeister Journal: Int J Methods Psychiatr Res Date: 2018-11-20 Impact factor: 4.035
Authors: Eileen Bendig; Natalie Bauereiß; David Daniel Ebert; Frank Snoek; Gerhard Andersson; Harald Baumeister Journal: Dtsch Arztebl Int Date: 2018-11-05 Impact factor: 5.594
Authors: Harald Baumeister; Natalie Bauereiss; Anna-Carlotta Zarski; Lina Braun; Claudia Buntrock; Christian Hoherz; Abdul Rahman Idrees; Robin Kraft; Pauline Meyer; Tran Bao Dat Nguyen; Rüdiger Pryss; Manfred Reichert; Theresa Sextl; Maria Steinhoff; Lena Stenzel; Lena Steubl; Yannik Terhorst; Ingrid Titzler; David Daniel Ebert Journal: Front Psychiatry Date: 2021-05-14 Impact factor: 4.157