scholarly journals Integrating Taxonomies Into Theory-Based Digital Health Interventions for Behavior Change: A Holistic Framework (Preprint)

2017 ◽  
Author(s):  
Yunlong Wang ◽  
Ahmed Fadhil ◽  
Jan-Philipp Lange ◽  
Harald Reiterer

UNSTRUCTURED Digital health interventions (DHIs) have been emerging in the last decade. Due to their interdisciplinary nature, DHIs are guided and influenced by theories (eg, behavioral theories, behavior change technologies, and persuasive technology) from different research communities. However, DHIs are always coded using various taxonomies and reported in insufficient perspectives. This inconsistency and incomprehensiveness will cause difficulty in conducting systematic reviews and sharing contributions among communities. Therefore, based on existing related work, we propose a holistic framework that embeds behavioral theories, behavior change technique taxonomy, and persuasive system design principles. Including four development steps, two toolboxes, and one workflow, our framework aims to guide DHI developers to design, evaluate, and report their work in a formative and comprehensive way.

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Anne M. Finucane ◽  
Hannah O’Donnell ◽  
Jean Lugton ◽  
Tilly Gibson-Watt ◽  
Connie Swenson ◽  
...  

AbstractDigital health interventions (DHIs) have the potential to improve the accessibility and effectiveness of palliative care but heterogeneity amongst existing systematic reviews presents a challenge for evidence synthesis. This meta-review applied a structured search of ten databases from 2006 to 2020, revealing 21 relevant systematic reviews, encompassing 332 publications. Interventions delivered via videoconferencing (17%), electronic healthcare records (16%) and phone (13%) were most frequently described in studies within reviews. DHIs were typically used in palliative care for education (20%), symptom management (15%), decision-making (13%), information provision or management (13%) and communication (9%). Across all reviews, mostly positive impacts were reported on education, information sharing, decision-making, communication and costs. Impacts on quality of life and physical and psychological symptoms were inconclusive. Applying AMSTAR 2 criteria, most reviews were judged as low quality as they lacked a protocol or did not consider risk of bias, so findings need to be interpreted with caution.


2020 ◽  
Vol 17 (3) ◽  
pp. 349-359
Author(s):  
Justin Kompf

Background: As a behavior change technique, implementation intentions are a cost-effective strategy to promote physical activity and exercise. This technique helps individuals plan when and where they will do a behavior. However, previous research on implementation intentions and physical activity has shown heterogeneous outcomes. Methods: The primary aim of this review was to systematically review the literature on the social cognitive variables that moderate the mediating effects of implementation intentions on physical activity and exercise. Following Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines, 22 papers yielded 24 studies. Of the 24 reviewed studies, 1 was cross-sectional, 12 were randomized control trials, 10 were longitudinal, and 1 was secondary data from a randomized control trial. Results: Habit strength, self-concordance, self-efficacy, perceived behavioral control, and intention were identified as moderating variables. Conditions for effectiveness for implementation intentions were observed. Implementation intentions are an effective behavior change technique for individuals who have preexisting intentions and strong self-efficacy. Conclusions: Implementation intentions may be a valuable behavior change technique for certain individuals. For self-efficacious individuals who desire to be physically active, implementation intentions can help translate intentions into behavior.


2021 ◽  
Author(s):  
Bonkana Maiga ◽  
Cheick O Bagayoko ◽  
Mohamed Ali Ag Ahmed ◽  
Abdrahamane Anne ◽  
Marie-Pierre Gagnon ◽  
...  

Abstract Background The use of digital health technologies to tackle diabetes has been particularly flourishing in recent years. Previous studies have shown to varying degrees that these technologies can have an impact on diabetes prevention and management. Objective The aim of this review is to summarize the best evidence regarding the effectiveness of digital health interventions to improve one or more diabetes indicators. Methods We included all types of interventions aimed at evaluating the effect of digital health on diabetes. We considered at all types of digital interventions (mobile health, teleconsultations, tele-expertise, electronic health records, decision support systems, e-learning, etc.). We included systematic reviews published in English or French over the last 29 years, from January 1991 to December 2019, that met the inclusion criteria. Two reviewers independently reviewed the titles and abstracts of the studies to assess their eligibility, and extracted relevant information according to a predetermined grid. Any disagreement was resolved by discussion and consensus between the two reviewers, or involved a third author as referee. Results In total in our review of journals, we included 10 reviews. The outcomes of interest were clinical indicators of diabetes that could be influenced by digital interventions. These outcomes had to be objectively measurable indicators related to diabetes surveillance and management that are generally accepted by diabetes experts. Six of the ten reviews showed moderate to large significant reductions in glycated hemoglobin (HBA1c) levels compared to controls. Most reviews reported overall positive results and found that digital health interventions improved health care utilization, behaviours, attitudes, knowledge and skills. Conclusion Based on a large corpus of scientific evidence on digital health interventions, this overview could help identify the most effective interventions to improve diabetes indicators.


2017 ◽  
Vol 24 (4) ◽  
pp. 867-879 ◽  
Author(s):  
Adrienne O’Neil ◽  
Fiona Cocker ◽  
Patricia Rarau ◽  
Shaira Baptista ◽  
Mandy Cassimatis ◽  
...  

Abstract Objectives. We conducted a meta-review to determine the reporting quality of user-centered digital interventions for the prevention and management of cardiometabolic conditions. Materials and Methods. Using predetermined inclusion criteria, systematic reviews published between 2010 and 2015 were identified from 3 databases. To assess whether current evidence is sufficient to inform wider uptake and implementation of digital health programs, we assessed the quality of reporting of research findings using (1) endorsement of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, (2) a quality assessment framework (eg, Cochrane risk of bias assessment tool), and (3) 8 parameters of the Consolidated Standards of Reporting Trials of Electronic and Mobile HEalth Applications and onLine TeleHealth (CONSORT-eHEALTH) guidelines (developed in 2010). Results. Of the 33 systematic reviews covering social media, Web-based programs, mobile health programs, and composite modalities, 6 reported using the recommended PRISMA guidelines. Seven did not report using a quality assessment framework. Applying the CONSORT-EHEALTH guidelines, reporting was of mild to moderate strength. Discussion. To our knowledge, this is the first meta-review to provide a comprehensive analysis of the quality of reporting of research findings for a range of digital health interventions. Our findings suggest that the evidence base and quality of reporting in this rapidly developing field needs significant improvement in order to inform wider implementation and uptake. Conclusion. The inconsistent quality of reporting of digital health interventions for cardiometabolic outcomes may be a critical impediment to real-world implementation.


2019 ◽  
Vol 8 (1) ◽  
pp. e8055 ◽  
Author(s):  
Yunlong Wang ◽  
Ahmed Fadhil ◽  
Jan-Philipp Lange ◽  
Harald Reiterer

10.2196/15617 ◽  
2020 ◽  
Vol 22 (6) ◽  
pp. e15617 ◽  
Author(s):  
Stephanie Hewitt ◽  
Ruth Sephton ◽  
Gillian Yeowell

Background Musculoskeletal conditions are the second greatest contributor to disability worldwide and have significant individual, societal, and economic implications. Due to the growing burden of musculoskeletal disability, an integrated and strategic response is urgently required. Digital health interventions provide high-reach, low-cost, readily accessible, and scalable interventions for large patient populations that address time and resource constraints. Objective This review aimed to investigate if digital health interventions are effective in reducing pain and functional disability in patients with musculoskeletal conditions. Methods A systematic review was undertaken to address the research objective. The review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. The review protocol was registered with the International Prospective Register of Systematic Reviews before commencement of the study. The following databases were searched: Medical Literature Analysis and Retrieval System Online (MEDLINE), Excerpta Medica database (EMBASE), Cumulative Index to Nursing and Allied Health Literature, and Scopus from January 1, 2000, to November 15, 2019, using search terms and database specific−medical subject headings terms in various combinations appropriate to the research objective. Results A total of 19 English language studies were eligible for inclusion. Of the 19 studies that assessed musculoskeletal pain, 9 reported statistically significant reductions following digital intervention. In all, 16 studies investigated functional disability; 10 studies showed a statistically significant improvement. Significant improvements were also found in a range of additional outcomes. Due to the heterogeneity of the results, a meta-analysis was not feasible. Conclusions This review has demonstrated that digital health interventions have some clinical benefits in the management of musculoskeletal conditions for pain and functional disability. Digital health interventions have the potential to contribute positively toward reducing the multifaceted burden of musculoskeletal conditions to the individual, economy, and society. Trial Registration PROSPERO CRD42018093343; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=93343


Sign in / Sign up

Export Citation Format

Share Document