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

2019 ◽  
Vol 8 (1) ◽  
pp. e8055 ◽  
Author(s):  
Yunlong Wang ◽  
Ahmed Fadhil ◽  
Jan-Philipp Lange ◽  
Harald Reiterer
Keyword(s):  
Behavior Change ◽  
Digital Health ◽  
Health Interventions

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
Keyword(s):  
Behavior Change ◽  
System Design ◽  
Systematic Reviews ◽  
Digital Health ◽  
Design Principles ◽  
Health Interventions ◽  
Change Technique ◽  
Behavioral Theories ◽  
Interdisciplinary Nature ◽  
Behavior Change Technique

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.

scholarly journals The role of economic, educational and social resources in supporting the use of digital health technologies by people with T2D: a qualitative study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Sophie Turnbull ◽  
Patricia J. Lucas ◽  
Alastair D. Hay ◽  
Christie Cabral
Keyword(s):  
Social Networks ◽  
Social Status ◽  
Digital Health ◽  
Self Care ◽  
Social Resources ◽  
Health Interventions ◽  
Structured Interviews ◽  
Health Technologies ◽  
Digital Skills ◽  
Care Support

Abstract Background Type 2 Diabetes (T2D) is a common chronic disease, with socially patterned incidence and severity. Digital self-care interventions have the potential to reduce health disparities, by providing personalised low-cost reusable resources that can increase access to health interventions. However, if under-served groups are unable to access or use digital technologies, Digital Health Technologies (DHTs) might make no difference, or worse, exacerbate health inequity. Study aims To gain insights into how and why people with T2D access and use DHTs and how experiences vary between individuals and social groups. Methods A purposive sample of people with experience of using a DHT to help them self-care for T2D were recruited through diabetes and community groups. Semi-structured interviews were conducted in person and over the phone. Data were analysed thematically. Results A diverse sample of 21 participants were interviewed. Health care practitioners were not viewed as a good source of information about DHTs that could support T2D. Instead participants relied on their digital skills and social networks to learn about what DHTs are available and helpful. The main barriers to accessing and using DHT described by the participants were availability of DHTs from the NHS, cost and technical proficiency. However, some participants described how they were able to draw on social resources such as their social networks and social status to overcome these barriers. Participants were motivated to use DHTs because they provided self-care support, a feeling of control over T2D, and personalised advice or feedback. The selection of technology was also guided by participants’ preferences and what they valued in relation to DHTs and self-care support, and these in turn were influenced by age and gender. Conclusion This research indicates that low levels of digital skills and high cost of digital health interventions can create barriers to the access and use of DHTs to support the self-care of T2D. However, social networks and social status can be leveraged to overcome some of these challenges. If digital interventions are to decrease rather than exacerbate health inequalities, these barriers and facilitators to access and use must be considered when DHTs are developed and implemented.

scholarly journals Digital health interventions in palliative care: a systematic meta-review

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Anne M. Finucane ◽  
Hannah O’Donnell ◽  
Jean Lugton ◽  
Tilly Gibson-Watt ◽  
Connie Swenson ◽  
...  
Keyword(s):  
Decision Making ◽  
Palliative Care ◽  
Systematic Reviews ◽  
Psychological Symptoms ◽  
Digital Health ◽  
Evidence Synthesis ◽  
Information Provision ◽  
Health Interventions ◽  
Meta Review

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.

Effectiveness of Digital Health Interventions on Unintentional Injury, Violence, and Suicide: Meta-Analysis

2020 ◽  
pp. 152483802096734
Author(s):  
Mengtong Chen ◽  
Ko Ling Chan
Keyword(s):  
Interpersonal Violence ◽  
Care Delivery ◽  
Digital Health ◽  
Meta Analysis ◽  
Random Effect ◽  
Unintentional Injury ◽  
Health Interventions ◽  
Effect Sizes ◽  
Future Research ◽  
Face To Face

Digital technologies are increasingly used in health-care delivery and are being introduced into work to prevent unintentional injury, violence, and suicide to reduce mortality. To understand the potential of digital health interventions (DHIs) to prevent and reduce these problems, we conduct a meta-analysis and provide an overview of their effectiveness and characteristics related to the effects. We searched electronic databases and reference lists of relevant reviews to identify randomized controlled trials (RCTs) published in or before March 2020 evaluating DHIs on injury, violence, or suicide reduction. Based on the 34 RCT studies included in the meta-analysis, the overall random effect size was 0.21, and the effect sizes for reducing suicidal ideation, interpersonal violence, and unintentional injury were 0.17, 0.24, and 0.31, respectively, which can be regarded as comparable to the effect sizes of traditional face-to-face interventions. However, there was considerable heterogeneity between the studies. In conclusion, DHIs have great potential to reduce unintentional injury, violence, and suicide. Future research should explore DHIs’ successful components to facilitate future implementation and wider access.

scholarly journals Effectiveness, Acceptability, and Feasibility of Digital Health Interventions for LGBTIQ+ Young People: Systematic Review

10.2196/20158 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e20158
Author(s):  
Dylan Gilbey ◽  
Helen Morgan ◽  
Ashleigh Lin ◽  
Yael Perry
Keyword(s):  
Young People ◽  
Sexual Health ◽  
Digital Health ◽  
Health Interventions ◽  
Health Concern ◽  
Sufficient Evidence ◽  
Future Research ◽  
Evidence Based ◽  
Bisexual Men ◽  
Targeted Interventions

Background Young people (aged 12-25 years) with diverse sexuality, gender, or bodily characteristics, such as those who identify as lesbian, gay, bisexual, transgender, intersex, or queer (LGBTIQ+), are at substantially greater risk of a range of mental, physical, and sexual health difficulties compared with their peers. Digital health interventions have been identified as a potential way to reduce these health disparities. Objective This review aims to summarize the characteristics of existing evidence-based digital health interventions for LGBTIQ+ young people and to describe the evidence for their effectiveness, acceptability, and feasibility. Methods A systematic literature search was conducted using internet databases and gray literature sources, and the results were screened for inclusion. The included studies were synthesized qualitatively. Results The search identified 38 studies of 24 unique interventions seeking to address mental, physical, or sexual health–related concerns in LGBTIQ+ young people. Substantially more evidence-based interventions existed for gay and bisexual men than for any other population group, and there were more interventions related to risk reduction of sexually transmitted infections than to any other health concern. There was some evidence for the effectiveness, feasibility, and acceptability of these interventions overall; however, the quality of evidence is often lacking. Conclusions There is sufficient evidence to suggest that targeted digital health interventions are an important focus for future research aimed at addressing health difficulties in LGBTIQ+ young people. Additional digital health interventions are needed for a wider range of health difficulties, particularly in terms of mental and physical health concerns, as well as more targeted interventions for same gender–attracted women, trans and gender-diverse people, and people with intersex variations. Trial Registration PROSPERO International Prospective Register of Systematic Reviews CRD42020128164; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=128164

scholarly journals Research and Implementation Lessons Learned From a Youth-Targeted Digital Health Randomized Controlled Trial (the ARMADILLO Study)

10.2196/13005 ◽  
2019 ◽  
Vol 7 (8) ◽  
pp. e13005
Author(s):  
Lianne Gonsalves ◽  
Winnie Wangari Njeri ◽  
Megan Schroeder ◽  
Jefferson Mwaisaka ◽  
Peter Gichangi
Keyword(s):  
Randomized Controlled Trial ◽  
Digital Health ◽  
Controlled Trial ◽  
Text Message ◽  
Health Interventions ◽  
World Health ◽  
Intervention Period ◽  
Implementation Challenges ◽  
Randomized Controlled ◽  
Client Side

Background Evidence is lacking on the efficacy of sexual and reproductive health (SRH) communication interventions for youth (aged 15-24 years), especially from low- and middle-income countries. Therefore, the World Health Organization initiated the Adolescent/Youth Reproductive Mobile Access and Delivery Initiative for Love and Life Outcomes (ARMADILLO) program, a free, menu-based, on-demand text message (SMS, short message service) platform providing validated SRH content developed in collaboration with young people. A randomized controlled trial (RCT) assessing the effect of the ARMADILLO intervention on SRH-related outcomes was implemented in Kwale County, Kenya. Objective This paper describes the implementation challenges related to the RCT, observed during enrollment and the intervention period, and their implications for digital health researchers and program implementers. Methods This was an open, three-armed RCT. Following completion of a baseline survey, participants were randomized into the ARMADILLO intervention (arm 1), a once-a-week contact SMS text message (arm 2), or usual care (arm 3, no intervention). The intervention period lasted seven weeks, after which participants completed an endline survey. Results Two study team decisions had significant implications for the success of the trial’s enrollment and intervention implementation: a hands-off participant recruitment process and a design flaw in an initial language selection menu. As a result, three weeks after recruitment began, 660 participants had been randomized; however, 107 (53%) participants in arm 1 and 136 (62%) in arm 2 were “stuck” at the language menu. The research team called 231 of these nonengaging participants and successfully reached 136 to learn reasons for nonengagement. Thirty-two phone numbers were found to be either not linked to our participants (a wrong number) or not in their primary possession (a shared phone). Among eligible participants, 30 participants indicated that they had assumed the introductory message was a scam or spam. Twenty-seven participants were confused by some aspect of the system. Eleven were apathetic about engaging. Twenty-four nonengagers experienced some sort of technical issue. All participants eventually started their seven-week study period. Conclusions The ARMADILLO study’s implementation challenges provide several lessons related to both researching and implementing client-side digital health interventions, including (1) have meticulous phone data collection protocols to reduce wrong numbers, (2) train participants on the digital intervention in efficacy assessments, and (3) recognize that client-side digital health interventions have analog discontinuation challenges. Implementation lessons were (1) determine whether an intervention requires phone ownership or phone access, (2) digital health campaigns need to establish a credible presence in a busy digital space, and (3) interest in a service can be sporadic or fleeting. Clinical Trial International Standard Randomized Controlled Trial Number (ISRCTN): 85156148; http://www.isrctn. com/ISRCTN85156148

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