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Kebede-et-al_2017_Characterizing active ingredients of eHealth interventions targeting persons with poorly controlled type 2 diabetes mellitus.pdf 926,59KB
WeightNameValue
1000 Titel
  • Characterizing Active Ingredients of eHealth Interventions Targeting Persons With Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques Taxonomy: Scoping Review
1000 Autor/in
  1. Liedtke, Tatjana P. |
  2. Möllers, Tobias |
  3. Pischke, Claudia R. |
  4. Kebede, Mihiretu |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-10-12
1000 Erschienen in
1000 Quellenangabe
  • 19(10): e348
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • http://dx.doi.org/10.2196/jmir.7135 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5658649/ |
1000 Ergänzendes Material
  • http://www.jmir.org/2017/10/e348/#References |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: The behavior change technique taxonomy v1 (BCTTv1; Michie and colleagues, 2013) is a comprehensive tool to characterize active ingredients of interventions and includes 93 labels that are hierarchically clustered into 16 hierarchical clusters. OBJECTIVE: The aim of this study was to identify the active ingredients in electronic health (eHealth) interventions targeting patients with poorly controlled type 2 diabetes mellitus (T2DM) and relevant outcomes. METHODS: We conducted a scoping review using the BCTTv1. Randomized controlled trials (RCTs), studies with or pre-post-test designs, and quasi-experimental studies examining efficacy and effectiveness of eHealth interventions for disease management or the promotion of relevant health behaviors were identified by searching PubMed, Web of Science, and PsycINFO. Reviewers independently screened titles and abstracts for eligibility using predetermined eligibility criteria. Data were extracted following a data extraction sheet. The BCTTv1 was used to characterize active ingredients of the interventions reported in the included studies. RESULTS: Of the 1404 unique records screened, 32 studies fulfilled the inclusion criteria and reported results on the efficacy and or or effectiveness of interventions. Of the included 32 studies, 18 (56%) were Web-based interventions delivered via personal digital assistant (PDA), tablet, computer, and/or mobile phones; 7 (22%) were telehealth interventions delivered via landline; 6 (19%) made use of text messaging (short service message, SMS); and 1 employed videoconferencing (3%). Of the 16 hierarchical clusters of the BCTTv1, 11 were identified in interventions included in this review. Of the 93 individual behavior change techniques (BCTs), 31 were identified as active ingredients of the interventions. The most common BCTs identified were instruction on how to perform behavior, adding objects to the environment, information about health consequences, self-monitoring of the outcomes and/or and prefers to be explicit to avoid ambiguity. Response: Checked and avoided of a certain behavior Author: Please note that the journal discourages the use of parenthesis to denote either and/or and prefers to be explicit to avoid ambiguity. Response: Checked and avoided “and/or” and prefers to be explicit to avoid ambiguity. Response: Checked and avoided, and feedback on outcomes of behavior. CONCLUSIONS: Our results suggest that the majority of BCTs employed in interventions targeting persons with T2DM revolve around the promotion of self-regulatory behavior to manage the disease or to assist patients in performing health behaviors necessary to prevent further complications of the disease. Detailed reporting of the BCTs included in interventions targeting this population may facilitate the replication and further investigation of such interventions.
1000 Sacherschließung
lokal Type 2 diabetes
lokal Telehealth
lokal Telemedicine
lokal Mobile health
lokal mHealth
lokal eHealth
1000 Fachgruppe
  1. Medizin |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/TGllZHRrZSwgVGF0amFuYSBQLg==|https://frl.publisso.de/adhoc/creator/TcO2bGxlcnMsIFRvYmlhcw==|https://frl.publisso.de/adhoc/creator/UGlzY2hrZSwgQ2xhdWRpYSBSLg==|http://orcid.org/0000-0002-5599-2823
1000 Label
1000 Dateien
1000 Objektart article
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1000 @id frl:6406396.rdf
1000 Erstellt am 2018-01-19T11:00:20.007+0100
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1000 Zuletzt bearbeitet 2020-01-31T02:53:19.758+0100
1000 Objekt bearb. Mon May 07 11:37:35 CEST 2018
1000 Vgl. frl:6406396
1000 Oai Id
  1. oai:frl.publisso.de:frl:6406396 |
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