• H Baumeister, L Nowoczin, J Lin, H Seifferth, J Seufert, K Laubner, and D D Ebert.
• 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.
• Diabetes Res. Clin. Pract. 2014 Jul 1;105(1):30-9.

AimsTo (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.Methods141 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).ResultsThe 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.ConclusionDiabetes 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.Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

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