Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/32587
Title: Tailored Implementation for Chronic Diseases (TICD): a protocol for process evaluation in cluster randomized controlled trials in five European countries
Authors: Krause, Jane
Jäger, C.
Freund, T.
Steinhäuser, J.
Aakhus, E.
Flottorp, S.
Godycki-Cwirko, M.
van Lieshout, J.
Szecsenyi, J.
Wensing, M.
First Published: 21-Mar-2014
Publisher: BioMed Central
Citation: Trials, 2014, 15 : 87
Abstract: Background: In the ‘Tailored Implementation for Chronic Diseases (TICD)’ project, five tailored implementation programs to improve healthcare delivery in different chronic conditions have been developed. These programs will be evaluated in distinct cluster-randomized controlled trials. This protocol describes the process evaluation across these trials, which aims to identify determinants of change in chronic illness care, to examine the validity of the tailoring methods that were applied, and to analyze the association of implementation activities and the effectiveness of the program. Methods: A multilevel approach was used to develop five tailored implementation interventions. In order to guide the process evaluation in five distinct trials, the study protocols for the cluster randomized trials and the related process evaluations were developed simultaneously and iteratively. Results: The process evaluation comprises three main components: a structured survey with health professionals in the trials, semi-structured interviews with a purposeful sample of this study population, and standardized documentation of organizational practice characteristics. Norway will only conduct the qualitative part of the analysis because the survey and documentation of practice characteristics are considered to be not feasible. The evaluation is guided by ‘logic models’ of the implementation programs: frameworks that specify the linkages between the strategies used, the determinants addressed by tailoring, and the anticipated outcomes. Standardization of measures across trials is sought to facilitate analysis of aggregated data from the trials. Conclusions: This process evaluation will need to find a balance between standardization of methods across trials and the tailoring of measures to the specificities of each trial.
DOI Link: 10.1186/1745-6215-15-87
ISSN: 1745-6215
Links: http://www.trialsjournal.com/content/15/1/87
http://hdl.handle.net/2381/32587
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2014 Jäger et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
Appears in Collections:Published Articles, Dept. of Health Sciences

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