PMID- 29025693
OWN - NLM
STAT- MEDLINE
DCOM- 20180305
LR  - 20220330
IS  - 1438-8871 (Electronic)
IS  - 1439-4456 (Print)
IS  - 1438-8871 (Linking)
VI  - 19
IP  - 10
DP  - 2017 Oct 12
TI  - Characterizing Active Ingredients of eHealth Interventions Targeting Persons With 
      Poorly Controlled Type 2 Diabetes Mellitus Using the Behavior Change Techniques 
      Taxonomy: Scoping Review.
PG  - e348
LID - 10.2196/jmir.7135 [doi]
LID - e348
AB  - 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.
CI  - (c)Mihiretu M Kebede, Tatjana P Liedtke, Tobias Mollers, Claudia R Pischke. 
      Originally published in the Journal of Medical Internet Research 
      (http://www.jmir.org), 12.10.2017.
FAU - Kebede, Mihiretu M
AU  - Kebede MM
AUID- ORCID: 0000-0002-5599-2823
AD  - Prevention and Evaluation, Leibniz Institute for Prevention Research and 
      Epidemiology, Bremen, Germany.
AD  - Institute of Public Health, Department of Health Informatics, University of 
      Gondar, Gondar, Ethiopia.
AD  - Faculty of Health Sciences, Public Health, University of Bremen, Bremen, Germany.
FAU - Liedtke, Tatjana P
AU  - Liedtke TP
AUID- ORCID: 0000-0002-7249-5095
AD  - Department of Nursing and Health Sciences, Fulda University of Applied Sciences, 
      Fulda, Germany.
FAU - Mollers, Tobias
AU  - Mollers T
AUID- ORCID: 0000-0002-1833-2412
AD  - Leibniz Institute for Prevention Research and Epidemiology, Prevention and 
      Evaluation, Bremen, Germany.
FAU - Pischke, Claudia R
AU  - Pischke CR
AUID- ORCID: 0000-0002-2256-8903
AD  - Prevention and Evaluation, Leibniz Institute for Prevention Research and 
      Epidemiology, Bremen, Germany.
LA  - eng
PT  - Journal Article
PT  - Review
DEP - 20171012
PL  - Canada
TA  - J Med Internet Res
JT  - Journal of medical Internet research
JID - 100959882
SB  - IM
MH  - Behavior Therapy/*methods
MH  - Classification/*methods
MH  - Diabetes Mellitus, Type 2/*therapy
MH  - Health Behavior
MH  - Humans
MH  - Telemedicine/*methods
PMC - PMC5658649
OTO - NOTNLM
OT  - eHealth
OT  - mHealth
OT  - mobile health
OT  - telehealth
OT  - telemedicine
OT  - type 2 diabetes
COIS- Conflicts of Interest: None declared.
EDAT- 2017/10/14 06:00
MHDA- 2018/03/06 06:00
PMCR- 2017/10/12
CRDT- 2017/10/14 06:00
PHST- 2016/12/13 00:00 [received]
PHST- 2017/06/17 00:00 [accepted]
PHST- 2017/03/22 00:00 [revised]
PHST- 2017/10/14 06:00 [entrez]
PHST- 2017/10/14 06:00 [pubmed]
PHST- 2018/03/06 06:00 [medline]
PHST- 2017/10/12 00:00 [pmc-release]
AID - v19i10e348 [pii]
AID - 10.2196/jmir.7135 [doi]
PST - epublish
SO  - J Med Internet Res. 2017 Oct 12;19(10):e348. doi: 10.2196/jmir.7135.