scholarly journals Social Cognitive Theories and Electronic Health Design: Scoping Review (Preprint)

2018 ◽  
Author(s):  
Patricia Grace-Farfaglia
Keyword(s):  
Scoping Review ◽  
Social Cognitive ◽  
Digital Health ◽  
Health Intervention ◽  
Health Interventions ◽  
Design Features ◽  
Social Design ◽  
Web Based ◽  
Cognitive Theories ◽  
Social Cognitive Theories

BACKGROUND There are several social cognitive theories (SCTs) and models that support platform design in electronic health (eHealth) promotion trials. The rationale for this scoping review was to determine how social design features (informational aid, expressive support, gaming, and tailored content) are used to promote self-efficacy, engagement, knowledge, and behavior change. OBJECTIVE This study aimed to review a broad spectrum of digital health interventions in the literature seeking trials that use SCTs for the design of eHealth applications. METHODS The author conducted a systematic scoping review of 161 Web-based health interventions from published randomized clinical trials using 1 or more tools to address the social cognitive determinants in their website design from January 2006 to April 2016. An iterative approach was used in the selection of studies and data extraction. The studies were analyzed for quality and coded for type of social design features employed. RESULTS Expressive interaction tools were found in 48.6% (54/111) of studies categorized as a strong recommendation by the Joanna Briggs Institute criteria. Overall, less than half of the studies addressed participant social support and motivational needs (43.8%). The vast majority of studies (100%) relied on the use of the Web for delivery of informational aid and tailored content for the individual participant (75.9%). CONCLUSIONS This review fills a research gap by linking social theory to Web strategy to improve the impact and sustainability of eHealth interventions. A Digital Health Intervention Model was developed to provide a framework to enhance future Web-based health intervention design and execution.

Digital health interventions in prevention, relapse and therapy of mild and moderate depression – a scoping review (Preprint)

2020 ◽  
Author(s):  
Pinar Tokgöz ◽  
Robert Hrynyschyn ◽  
Jessica Hafner ◽  
Simone Schönfeld ◽  
Christoph Dockweiler
Keyword(s):  
Behavior Therapy ◽  
Cognitive Behavior Therapy ◽  
Scoping Review ◽  
Relapse Prevention ◽  
Digital Health ◽  
Health Interventions ◽  
Cognitive Behavior ◽  
Comprehensive Overview ◽  
Web Based ◽  
Treatment Of Depression

BACKGROUND Depression is a major cause for disability worldwide and digital health interventions are expected to be a more augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need of mapping the technological landscape, as well as its benefits and challenges for users. OBJECTIVE A scoping review was conducted to provide a comprehensive overview in the field of digital health interventions for the treatment of depression. The purpose of this scoping review was to give an overview of the used DHI for depression. The main goal of this review was then to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users. METHODS A scoping review was conducted to provide a comprehensive overview in the field of digital health interventions for the treatment of depression. PubMed, Psyndex, and Cochrane were searched by two independent researchers between May 2019 and April 2019 to identify relevant publications and were examined due to inclusion and exclusion criteria. For conducting the systematic review, ‘Rayyan’, a free web-tool, was used. RESULTS In total, 51 studies were included in the qualitative synthesis. After categorizing the field of application in prevention, early detection, therapy and relapse prevention, the search showed dominant numbers of studies in the field therapy (N= 42). There was only one prevention study, three studies for early detection and five studies for relapse prevention. Dominant measures of depression severity were the PHQ-9 or the BDI-II scale. The most dominant therapy approaches were cognitive behavior therapy, acceptance and commitment therapy and problem-solving therapy. Most of the studies revealed significant effects of digital health intervention when cognitive behavior therapy applied. cognitive behavior therapy as the most dominant form was often provided by web-based systems. Combined approaches consisting of web-based and smartphone-based approaches are constantly rising. CONCLUSIONS Digital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most applications can be beneficial to achieving a better care for depression patients, it can be hindering in determining which approaches in the depression care are suitable. Computerized CBT has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic.

scholarly journals Digital health interventions in prevention, relapse and therapy of mild and moderate depression: a scoping review (Preprint)

2020 ◽  
Author(s):  
Pinar Tokgöz ◽  
Robert Hrynyschyn ◽  
Jessica Hafner ◽  
Simone Schönfeld ◽  
Christoph Dockweiler
Keyword(s):  
Early Detection ◽  
Behavior Therapy ◽  
Cognitive Behavior Therapy ◽  
Scoping Review ◽  
Relapse Prevention ◽  
Digital Health ◽  
Health Interventions ◽  
Cognitive Behavior ◽  
Web Based ◽  
Treatment Of Depression

BACKGROUND Depression is a major cause for disability worldwide and digital health interventions are expected to be a more augmentative and effective treatment. According to the fast-growing field of information and communication technologies and its dissemination, there is a need of mapping the technological landscape, as well as its benefits for users. OBJECTIVE The purpose of this scoping review was to give an overview of the used DHI for depression. The main goal of this review was then to provide a comprehensive review of the system landscape and its technological state and functions, as well as its evidence and benefits for users. METHODS A scoping review was conducted to provide a comprehensive overview in the field of digital health interventions for the treatment of depression. PubMed, Psyndex and the Cochrane Library were searched by two independent researchers in October 2020 to identify relevant publications of the last ten years and were examined due to inclusion and exclusion criteria. For conducting the systematic review, ‘Rayyan’, a free web-tool, was used. RESULTS In total, 65 studies were included in the qualitative synthesis. After categorizing the field of application in prevention, early detection, therapy and relapse prevention, the search showed dominant numbers of studies in the field of therapy (N= 52). There was only one study for prevention, five studies for early detection and seven studies for relapse prevention. The most dominant therapy approaches were cognitive behavior therapy, acceptance and commitment therapy and problem-solving therapy. Most of the studies revealed significant effects of digital health interventions when cognitive behavior therapy applied. Cognitive behavior therapy as the most dominant form was often provided by web-based systems. Combined approaches consisting of web-based and smartphone-based approaches are constantly rising. CONCLUSIONS Digital health interventions for treating depression are quite comprehensive. There are different interventions focusing on different fields of care. While most interventions can be beneficial to achieve a better depression treatment, it can be hindering in determining which approaches are suitable. Cognitive behavior therapy that has been realized with digital health interventions has shown good effects in the treatment of depression, but treatment for depression still stays very individualistic.

Navigating through digital health outcome evaluation methodologies: an algorithm based on a scoping review and emerging methodologies. (Preprint)

2019 ◽  
Author(s):  
Caroline Perrin ◽  
Mirana Randriambelonoro ◽  
Antoine Geissbuhler
Keyword(s):  
Health Outcome ◽  
Health Outcomes ◽  
Scoping Review ◽  
Digital Health ◽  
Database Search ◽  
Outcome Evaluation ◽  
Health Interventions ◽  
Cochrane Central Register ◽  
Design Features ◽  
The Impact

BACKGROUND Digital health interventions are recognized for their potential and are increasingly implemented globally. The evidence base is growing, but currently there are still relatively few studies evaluating improvements of digital health interventions in health outcomes OBJECTIVE The objectives of this article were to understand, analyze and map how researchers approach digital health outcome evaluations in different settings through a scoping review and to develop an algorithm, based on these results, to provide a pedagogical overview of methods for evaluating health outcomes of digital health interventions. METHODS For the scoping review PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials (CENTRAL) were scanned using a predefined search strategy to identify articles measuring the impact of digital health interventions on health outcomes. The algorithm was developed based on analysis and insights from the scoping review. RESULTS The database search retrieved 3584 citations of which 208 were included. These articles were reviewed in detail and were classified into different categories: level of income (of the country where the study was conducted), system categories, disease addressed by the intervention, and evaluation method. The gap analysis identified additional emerging approaches that were included in the algorithm. CONCLUSIONS Through analysis of the literature, we were able to demonstrate that digital health outcome studies rely on traditional clinical evaluation designs, even though these interventions are often more complex and depended on the context, culture, and the individual than classical interventions like insulin on its receptor. In addition to the methodologies extracted from studies through the database search we identified study methodologies through desk research, whose design features address some of the shortcomings of traditional clinical methodologies, when applying them to digital health interventions. We integrated all identified methodologies into an algorithm that provides a high-level overview, enables the user to navigate through these methodologies based on the design features and investigator’s priorities, and to facilitate the identification of one or more potential appropriate methodologies.

Recovery in the Clubhouse Environment: Applying Ecological and Social Cognitive Theories

2013 ◽  
Vol 7 (2) ◽  
pp. 151-165 ◽  
Author(s):  
Francesca Pernice-Duca ◽  
Barry Markman ◽  
Heather Chateauvert
Keyword(s):  
Social Cognitive ◽  
Cognitive Theories ◽  
Social Cognitive Theories

Situativity: a family of social cognitive theories for understanding clinical reasoning and diagnostic error

Diagnosis ◽  
2020 ◽  
Vol 7 (3) ◽  
pp. 169-176 ◽  
Author(s):  
Jerusalem Merkebu ◽  
Michael Battistone ◽  
Kevin McMains ◽  
Kathrine McOwen ◽  
Catherine Witkop ◽  
...  
Keyword(s):  
Clinical Reasoning ◽  
Distributed Cognition ◽  
Social Cognitive ◽  
Diagnostic Error ◽  
Dynamic Interactions ◽  
Clinical Encounters ◽  
Cognitive Theories ◽  
Context Specific ◽  
Social Cognitive Theories ◽  
Physician Patient

AbstractThe diagnostic error crisis suggests a shift in how we view clinical reasoning and may be vital for transforming how we view clinical encounters. Building upon the literature, we propose clinical reasoning and error are context-specific and proceed to advance a family of theories that represent a model outlining the complex interplay of physician, patient, and environmental factors driving clinical reasoning and error. These contemporary social cognitive theories (i.e. embedded cognition, ecological psychology, situated cognition, and distributed cognition) can emphasize the dynamic interactions occurring amongst participants in particular settings. The situational determinants that contribute to diagnostic error are also explored.

Development of the Key Performance Indicators for Digital Health Interventions: A Scoping Review (Preprint)

2021 ◽  
Author(s):  
Maria Brenner ◽  
Arielle Weir ◽  
Margaret McCann ◽  
Carmel Doyle ◽  
Mary Hughes ◽  
...  
Keyword(s):  
Scoping Review ◽  
Performance Indicators ◽  
Delphi Study ◽  
Current Knowledge ◽  
Digital Health ◽  
Stakeholder Involvement ◽  
Key Performance Indicators ◽  
Healthcare Services ◽  
Health Interventions ◽  
Original Research

BACKGROUND Development of the Key Performance Indicators for Digital Health Interventions: A Scoping Review OBJECTIVE Digital health interventions (DHIs) offer new methods for delivering healthcare, with the potential to innovate healthcare services. Key performance indicators (KPIs) play a role in evaluation, measurement, and improvement in healthcare quality and service performance. The scoping review question was developed following an initial search to identify literature to assist in the development of KPIs for an ongoing DHI initiative. During the initial search, it became clear that there was limited literature on how to develop specific and measurable KPIs that evaluate DHIs. The aim of this scoping review was to identify current knowledge and evidence surrounding the development of KPIs for DHIs. METHODS A rigorous literature search was conducted across ten key databases: AMED - The Allied and Complementary Medicine Database, CINAHL Complete, Health Source: Nursing/Academic Edition, MEDLINE, APA PsycINFO, EMBASE, EBM Reviews - Cochrane Database of Systematic Reviews, EBM Reviews - Database of Abstracts of Reviews of Effects, EBM Reviews - Health Technology Assessment, and IEEE Xplore. A descriptive summary of the literature was performed, and thematic analysis identified important or reoccurring themes. RESULTS Five references (representing four unique publications) were eligible for the review. Of the four included publications, two were articles on original research studies of a specific DHI, and two were overviews of methods for developing DHIs (not specific to a single DHI). All the included reports discussed the involvement of stakeholders in developing KPIs for DHIs. The step of identifying and defining the KPIs was completed using various methodologies, but all centered on a form of stakeholder involvement. Potential options for stakeholder involvement for KPI identification include the use of an elicitation framework, a factorial survey approach, or a Delphi study. Most of the included articles recognised the lack of literature relating to KPI development for DHIs, compared to the breath of literature available on the development of KPIs in other fields like health or informatics CONCLUSIONS Few articles were identified, highlighting a significant gap in the evidence-based knowledge in this domain. All the included articles discussed the involvement of stakeholders in developing KPIs for DHIs, which was performed using various methodologies. The articles acknowledged a lack of literature related to KPI development for DHIs. To allow comparability between KPI initiatives and facilitate work in the field, further research would be beneficial to develop a common methodology for KPI development for DHIs.

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