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Asbjørnsen RA, Hjelmesæth J, Smedsrød ML, Wentzel J, Ollivier M, Clark MM, van Gemert-Pijnen JEWC, Solberg Nes L. Combining Persuasive System Design Principles and Behavior Change Techniques in Digital Interventions Supporting Long-term Weight Loss Maintenance: Design and Development of eCHANGE (Preprint). JMIR Hum Factors 2022; 9:e37372. [PMID: 35622394 PMCID: PMC9187967 DOI: 10.2196/37372] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 03/29/2022] [Accepted: 04/22/2022] [Indexed: 02/06/2023] Open
Abstract
Background Long-term weight maintenance after weight loss is challenging, and innovative solutions are required. Digital technologies can support behavior change and, therefore, have the potential to be an effective tool for weight loss maintenance. However, to create meaningful and effective digital behavior change interventions that support end user values and needs, a combination of persuasive system design (PSD) principles and behavior change techniques (BCTs) might be needed. Objective This study aimed to investigate how an evidence-informed digital behavior change intervention can be designed and developed by combining PSD principles and BCTs into design features to support end user values and needs for long-term weight loss maintenance. Methods This study presents a concept for how PSD principles and BCTs can be translated into design features by combining design thinking and Agile methods to develop and deliver an evidence-informed digital behavior change intervention aimed at supporting weight maintenance. Overall, 45 stakeholders participated in the systematic and iterative development process comprising co-design workshops, prototyping, Agile development, and usability testing. This included prospective end users (n=17, 38%; ie, people with obesity who had lost ≥8% of their weight), health care providers (n=9, 20%), healthy volunteers (n=4, 9%), a service designer (n=1, 2%), and stakeholders from the multidisciplinary research and development team (n=14, 31%; ie, software developers; digital designers; and eHealth, behavior change, and obesity experts). Stakeholder input on how to operationalize the design features and optimize the technology was examined through formative evaluation and qualitative analyses using rapid and in-depth analysis approaches. Results A total of 17 design features combining PSD principles and BCTs were identified as important to support end user values and needs based on stakeholder input during the design and development of eCHANGE, a digital intervention to support long-term weight loss maintenance. The design features were combined into 4 main intervention components: Week Plan, My Overview, Knowledge and Skills, and Virtual Coach and Smart Feedback System. To support a healthy lifestyle and continued behavior change to maintain weight, PSD principles such as tailoring, personalization, self-monitoring, reminders, rewards, rehearsal, praise, and suggestions were combined and implemented into the design features together with BCTs from the clusters of goals and planning, feedback and monitoring, social support, repetition and substitution, shaping knowledge, natural consequences, associations, antecedents, identity, and self-belief. Conclusions Combining and implementing PSD principles and BCTs in digital interventions aimed at supporting sustainable behavior change may contribute to the design of engaging and motivating interventions in line with end user values and needs. As such, the design and development of the eCHANGE intervention can provide valuable input for future design and tailoring of evidence-informed digital interventions, even beyond digital interventions in support of health behavior change and long-term weight loss maintenance. Trial Registration ClinicalTrials.gov NCT04537988; https://clinicaltrials.gov/ct2/show/NCT04537988
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Affiliation(s)
- Rikke Aune Asbjørnsen
- Center for eHealth and Wellbeing Research, Department of Psychology, Health and Technology, University of Twente, Enschede, Netherlands
- Research and Innovation Department, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Digital Health Research, Division of Medicine, Oslo University Hospital, Oslo, Norway
| | - Jøran Hjelmesæth
- Morbid Obesity Center, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | | | - Jobke Wentzel
- Center for eHealth and Wellbeing Research, Department of Psychology, Health and Technology, University of Twente, Enschede, Netherlands
- Research Group IT Innovations in Health Care, Windesheim University of Applied Sciences, Zwolle, Netherlands
| | - Marianne Ollivier
- Department of Digital Health Research, Division of Medicine, Oslo University Hospital, Oslo, Norway
| | - Matthew M Clark
- Department of Psychiatry & Psychology, College of Medicine & Science, Mayo Clinic, Rochester, MN, United States
| | - Julia E W C van Gemert-Pijnen
- Center for eHealth and Wellbeing Research, Department of Psychology, Health and Technology, University of Twente, Enschede, Netherlands
- University of Waterloo, Waterloo, ON, Canada
| | - Lise Solberg Nes
- Department of Digital Health Research, Division of Medicine, Oslo University Hospital, Oslo, Norway
- Department of Psychiatry & Psychology, College of Medicine & Science, Mayo Clinic, Rochester, MN, United States
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
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Asbjørnsen RA, Wentzel J, Smedsrød ML, Hjelmesæth J, Clark MM, Solberg Nes L, Van Gemert-Pijnen JEWC. Identifying Persuasive Design Principles and Behavior Change Techniques Supporting End User Values and Needs in eHealth Interventions for Long-Term Weight Loss Maintenance: Qualitative Study. J Med Internet Res 2020; 22:e22598. [PMID: 33252347 PMCID: PMC7735908 DOI: 10.2196/22598] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Revised: 08/23/2020] [Accepted: 09/15/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND An increasing number of eHealth interventions aim to support healthy behaviors that facilitate weight loss. However, there is limited evidence of the effectiveness of the interventions and little focus on weight loss maintenance. Knowledge about end user values and needs is essential to create meaningful and effective eHealth interventions, and to identify persuasive system design (PSD) principles and behavior change techniques (BCTs) that may contribute to the behavior change required for successful long-term weight loss maintenance. OBJECTIVE This study aimed to provide insight into the design of eHealth interventions supporting behavior change for long-term weight maintenance. The study sought to identify the values and needs of people with obesity aiming to maintain weight after weight loss, and to identify PSD principles, BCTs, and design requirements that potentially enable an eHealth intervention to meet end user values and needs. METHODS This study presents the concept of integrating PSD principles and BCTs into the design process of eHealth interventions to meet user values and needs. In this study, individual interviews and focus groups were conducted with people with obesity (n=23) and other key stakeholders (n=27) to explore end user values and needs related to weight loss maintenance. Design thinking methods were applied during the focus group sessions to identify design elements and to explore how eHealth solutions can support the needs to achieve sustainable weight loss maintenance. The PSD model and behavior change taxonomy by Michie were used to identify PSD principles and BCT clusters to meet end user values and needs. RESULTS A total of 8 key end user values were identified, reflecting user needs for weight loss maintenance support: self-management, personalized care, autonomy, feel supported, positive self-image, motivation, happiness, and health. Goals and planning, feedback and monitoring, repetition and substitution, shaping knowledge, social support, identity, and self-belief were some of the BCT clusters identified to address these concepts, together with PSD principles such as personalization, tailoring, self-monitoring, praise, and suggestions. CONCLUSIONS The process of translating end user values and needs into design elements or features of eHealth technologies is an important part of the design process. To our knowledge, this is the first study to explore how PSD principles and BCTs can be integrated when designing eHealth self-management interventions for long-term weight loss maintenance. End users and other key stakeholders highlighted important factors to be considered in the design of eHealth interventions supporting sustained behavior change. The PSD principles and BCTs identified provide insights and suggestions about design elements and features to include for supporting weight loss maintenance. The findings indicate that a combination of BCTs and PSD principles may be needed in evidence-based eHealth interventions to stimulate motivation and adherence to support healthy behaviors and sustained weight loss maintenance. TRIAL REGISTRATION ClinicalTrials.gov NCT04537988; https://clinicaltrials.gov/ct2/show/NCT04537988.
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Affiliation(s)
- Rikke Aune Asbjørnsen
- Centre for eHealth and Wellbeing Research, Department of Psychology, Health and Technology, University of Twente, Enschede, Netherlands.,Research and Innovation Department, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Digital Health Research, Division of Medicine, Oslo University Hospital, Oslo, Norway
| | - Jobke Wentzel
- Centre for eHealth and Wellbeing Research, Department of Psychology, Health and Technology, University of Twente, Enschede, Netherlands.,Research Group IT Innovations in Health Care, Windesheim University of Applied Sciences, Zwolle, Netherlands
| | | | - Jøran Hjelmesæth
- Morbid Obesity Center, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Endocrinology, Morbid Obesity and Preventive Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Matthew M Clark
- Department of Psychiatry & Psychology, Mayo Clinic, College of Medicine & Science, Rochester, MN, United States
| | - Lise Solberg Nes
- Department of Digital Health Research, Division of Medicine, Oslo University Hospital, Oslo, Norway.,Department of Psychiatry & Psychology, Mayo Clinic, College of Medicine & Science, Rochester, MN, United States.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - Julia E W C Van Gemert-Pijnen
- Centre for eHealth and Wellbeing Research, Department of Psychology, Health and Technology, University of Twente, Enschede, Netherlands.,University Medical Center Groningen, Groningen, Netherlands.,University of Waterloo, Waterloo, ON, Canada
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Cruz-Martínez RR, Wentzel J, Asbjørnsen RA, Noort PD, van Niekerk JM, Sanderman R, van Gemert-Pijnen JE. Supporting Self-Management of Cardiovascular Diseases Through Remote Monitoring Technologies: Metaethnography Review of Frameworks, Models, and Theories Used in Research and Development. J Med Internet Res 2020; 22:e16157. [PMID: 32436852 PMCID: PMC7273239 DOI: 10.2196/16157] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 12/19/2019] [Accepted: 02/07/2020] [Indexed: 02/07/2023] Open
Abstract
Background Electronic health (eHealth) is a rapidly evolving field informed by multiple scientific disciplines. Because of this, the use of different terms and concepts to explain the same phenomena and lack of standardization in reporting interventions often leaves a gap that hinders knowledge accumulation. Interventions focused on self-management support of cardiovascular diseases through the use of remote monitoring technologies are a cross-disciplinary area potentially affected by this gap. A review of the underlying frameworks, models, and theories that have informed projects at this crossroad could advance future research and development efforts. Objective This research aimed to identify and compare underlying approaches that have informed interventions focused on self-management support of cardiovascular diseases through the use of remote monitoring technologies. The objective was to achieve an understanding of the distinct approaches by highlighting common or conflicting principles, guidelines, and methods. Methods The metaethnography approach was used to review and synthesize researchers’ reports on how they applied frameworks, models, and theories in their projects. Literature was systematically searched in 7 databases: Scopus, Web of Science, EMBASE, CINAHL, PsycINFO, Association for Computing Machinery Digital Library, and Cochrane Library. Included studies were thoroughly read and coded to extract data for the synthesis. Studies were mainly related by the key ingredients of the underlying approaches they applied. The key ingredients were finally translated across studies and synthesized into thematic clusters. Results Of 1224 initial results, 17 articles were included. The articles described research and development of 10 different projects. Frameworks, models, and theories (n=43) applied by the projects were identified. Key ingredients (n=293) of the included articles were mapped to the following themes of eHealth development: (1) it is a participatory process; (2) it creates new infrastructures for improving health care, health, and well-being; (3) it is intertwined with implementation; (4) it integrates theory, evidence, and participatory approaches for persuasive design; (5) it requires continuous evaluation cycles; (6) it targets behavior change; (7) it targets technology adoption; and (8) it targets health-related outcomes. Conclusions The findings of this review support and exemplify the numerous possibilities in the use of frameworks, models, and theories to guide research and development of eHealth. Participatory, user-centered design, and integration with empirical evidence and theoretical modeling were widely identified principles in the literature. On the contrary, less attention has been given to the integration of implementation in the development process and supporting novel eHealth-based health care infrastructures. To better integrate theory and evidence, holistic approaches can combine patient-centered studies with consolidated knowledge from expert-based approaches. Trial Registration PROSPERO CRD42018104397; https://tinyurl.com/y8ajyajt International Registered Report Identifier (IRRID) RR2-10.2196/13334
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Affiliation(s)
- Roberto Rafael Cruz-Martínez
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands
| | - Jobke Wentzel
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands.,Saxion University of Applied Sciences, Deventer, Netherlands
| | - Rikke Aune Asbjørnsen
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands.,Research and Innovation Department, Vestfold Hospital Trust, Tønsberg, Norway
| | - Peter Daniel Noort
- Embedded Information Services, Library, ICT Services & Archive, University of Twente, Enschede, Netherlands
| | - Johan Magnus van Niekerk
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands
| | - Robbert Sanderman
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands.,GZW-Health Psychology-GZW-General, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Julia Ewc van Gemert-Pijnen
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social Sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands
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Varsi C, Solberg Nes L, Kristjansdottir OB, Kelders SM, Stenberg U, Zangi HA, Børøsund E, Weiss KE, Stubhaug A, Asbjørnsen RA, Westeng M, Ødegaard M, Eide H. Implementation Strategies to Enhance the Implementation of eHealth Programs for Patients With Chronic Illnesses: Realist Systematic Review. J Med Internet Res 2019; 21:e14255. [PMID: 31573934 PMCID: PMC6789428 DOI: 10.2196/14255] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2019] [Revised: 06/05/2019] [Accepted: 08/18/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND There is growing evidence of the positive effects of electronic health (eHealth) interventions for patients with chronic illness, but implementation of such interventions into practice is challenging. Implementation strategies that potentially impact implementation outcomes and implementation success have been identified. Which strategies are actually used in the implementation of eHealth interventions for patients with chronic illness and which ones are the most effective is unclear. OBJECTIVE This systematic realist review aimed to summarize evidence from empirical studies regarding (1) which implementation strategies are used when implementing eHealth interventions for patients with chronic illnesses living at home, (2) implementation outcomes, and (3) the relationship between implementation strategies, implementation outcomes, and degree of implementation success. METHODS A systematic literature search was performed in the electronic databases MEDLINE, Embase, PsycINFO, Scopus, Allied and Complementary Medicine Database, Cumulative Index to Nursing and Allied Health Literature, and Cochrane Library. Studies were included if they described implementation strategies used to support the integration of eHealth interventions into practice. Implementation strategies were categorized according to 9 categories defined by the Expert Recommendations for Implementing Change project: (1) engage consumers, (2) use evaluative and iterative strategies, (3) change infrastructure, (4) adapt and tailor to the context, (5) develop stakeholder interrelationships, (6) use financial strategies, (7) support clinicians, (8) provide interactive assistance, and (9) train and educate stakeholders. Implementation outcomes were extracted according to the implementation outcome framework by Proctor and colleagues: (1) acceptability, (2) adoption, (3) appropriateness, (4) cost, (5) feasibility, (6) fidelity, (7) penetration, and (8) sustainability. Implementation success was extracted according to the study authors' own evaluation of implementation success in relation to the used implementation strategies. RESULTS The implementation strategies management support and engagement, internal and external facilitation, training, and audit and feedback were directly related to implementation success in several studies. No clear relationship was found between the number of implementation strategies used and implementation success. CONCLUSIONS This is the first review examining implementation strategies, implementation outcomes, and implementation success of studies reporting the implementation of eHealth programs for patients with chronic illnesses living at home. The review indicates that internal and external facilitation, audit and feedback, management support, and training of clinicians are of importance for eHealth implementation. The review also points to the lack of eHealth studies that report implementation strategies in a comprehensive way and highlights the need to design robust studies focusing on implementation strategies in the future. TRIAL REGISTRATION PROSPERO CRD42018085539; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=85539.
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Affiliation(s)
- Cecilie Varsi
- Center for Shared Decision Making and Collaborative Care Research, Division of Medicine, Oslo University Hospital, Oslo, Norway
| | - Lise Solberg Nes
- Center for Shared Decision Making and Collaborative Care Research, Division of Medicine, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN, United States
| | - Olöf Birna Kristjansdottir
- Center for Shared Decision Making and Collaborative Care Research, Division of Medicine, Oslo University Hospital, Oslo, Norway.,Norwegian National Advisory Unit on Learning and Mastery in Health, Oslo University Hospital, Oslo, Norway
| | - Saskia M Kelders
- Center for eHealth and Wellbeing Research, Department of Psychology, Health and Technology, University of Twente, Enschede, Netherlands.,Optentia Research Focus Area, North-West University, Vanderbijlpark, South Africa
| | - Una Stenberg
- Norwegian National Advisory Unit on Learning and Mastery in Health, Oslo University Hospital, Oslo, Norway
| | - Heidi Andersen Zangi
- National Advisory Unit on Rehabilitation in Rheumatology, Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway.,Faculty of Health, VID Specialized University, Oslo, Norway
| | - Elin Børøsund
- Center for Shared Decision Making and Collaborative Care Research, Division of Medicine, Oslo University Hospital, Oslo, Norway
| | - Karen Elizabeth Weiss
- Department of Anesthesiology and Pain Medicine, School of Medicine, University of Washington, Seattle, WA, United States
| | - Audun Stubhaug
- Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.,Regional Advisory Unit on Pain, Oslo University Hospital, Oslo, Norway.,Department of Pain Management and Research, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
| | - Rikke Aune Asbjørnsen
- Center for Shared Decision Making and Collaborative Care Research, Division of Medicine, Oslo University Hospital, Oslo, Norway.,Center for eHealth and Wellbeing Research, Department of Psychology, Health and Technology, University of Twente, Enschede, Netherlands.,Department of Research and Innovation, Vestfold Hospital Trust, Tønsberg, Norway
| | - Marianne Westeng
- Center for Shared Decision Making and Collaborative Care Research, Division of Medicine, Oslo University Hospital, Oslo, Norway
| | - Marte Ødegaard
- University of Oslo Library, University of Oslo, Oslo, Norway
| | - Hilde Eide
- Center for Shared Decision Making and Collaborative Care Research, Division of Medicine, Oslo University Hospital, Oslo, Norway.,Science Centre Health and Technology, University of South-Eastern Norway, Drammen, Norway
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Cruz-Martínez RR, Noort PD, Asbjørnsen RA, van Niekerk JM, Wentzel J, Sanderman R, van Gemert-Pijnen L. Frameworks, Models, and Theories Used in Electronic Health Research and Development to Support Self-Management of Cardiovascular Diseases Through Remote Monitoring Technologies: Protocol for a Metaethnography Review. JMIR Res Protoc 2019; 8:e13334. [PMID: 31313659 PMCID: PMC6664658 DOI: 10.2196/13334] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 05/09/2019] [Accepted: 05/10/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Electronic health (eHealth) is a multidisciplinary and rapidly evolving field, and thus requires research focused on knowledge accumulation, curation, and translation. Cardiovascular diseases constitute a global health care crisis in which eHealth can provide novel solutions to improve the efficiency and reach of self-management support for patients where they most need it: their homes and communities. A holistic understanding of eHealth projects focused on such case is required to bridge the multidisciplinary gap formed by the wide range of aims and approaches taken by the various disciplines involved. OBJECTIVE The primary objective of this review is to facilitate a holistic interpretation of eHealth projects aimed at providing self-management support of cardiovascular diseases in the natural setting of patients, thus priming the use of remote monitoring technologies. The review aims to synthesize the operationalization of frameworks, models, and theories applied to the research and development process of eHealth. METHODS We will use Noblit and Hare's metaethnography approach to review and synthesize researchers' and practitioners' reports on how they applied frameworks, models, and theories in their projects. We will systematically search the literature in 7 databases: Scopus, Web of Science, EMBASE, CINAHL, PsycINFO, ACM Digital Library, and the Cochrane Library. We will thoroughly read and code selected studies to extract both raw and contextual data for the synthesis. The relation of the studies will be determined according to the elements of the frameworks, models, or theories the studies applied. We will translate these elements between each other and intend to synthesize holistic principles for eHealth development for the case at hand. RESULTS The search strategy has been completed, data extraction is almost finalized, and the first synthesis approaches are underway. The search yielded 1224 citations and, after we applied the selection criteria, 17 articles remained. We expect to submit the final results for publication in 2019. CONCLUSIONS This review is important because it aims to create a holistic understanding of a multidisciplinary topic at the crossroads of eHealth, cardiovascular diseases, and self-management. The value of metaethnography in contrast to other systematic review methods is that its synthesis approach seeks to generate a new understanding of a topic, while preserving the social and theoretical contexts in which findings emerge. Our results will show how useful this method can be in bridging the multidisciplinary gap of eHealth research and development, to inform and advance the importance of holistic approaches, while showcasing this approach for the case of self-management in cardiovascular diseases. TRIAL REGISTRATION PROSPERO CRD42018104397; https://www.crd.york.ac.uk/PROSPERO/display_record.php? RecordID=104397 (Archived by WebCite at http://www.webcitation.org/75H1kP1Mm). INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/13334.
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Affiliation(s)
- Roberto Rafael Cruz-Martínez
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands
| | - Peter Daniel Noort
- Embedded Information Services, Library, ICT Services & Archive, University of Twente, Enschede, Netherlands
| | - Rikke Aune Asbjørnsen
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands
- Research and Innovation Department, Vestfold Hospital Trust, Tønsberg, Norway
| | - Johan Magnus van Niekerk
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands
| | - Jobke Wentzel
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands
- Saxion University of Applied Sciences, Deventer, Netherlands
| | - Robbert Sanderman
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands
- GZW-Health Psychology-GZW-General, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Lisette van Gemert-Pijnen
- Department of Psychology, Health and Technology, Faculty of Behavioural, Management and Social sciences, Technical Medical Centre, University of Twente, Enschede, Netherlands
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Asbjørnsen RA, Smedsrød ML, Solberg Nes L, Wentzel J, Varsi C, Hjelmesæth J, van Gemert-Pijnen JE. Persuasive System Design Principles and Behavior Change Techniques to Stimulate Motivation and Adherence in Electronic Health Interventions to Support Weight Loss Maintenance: Scoping Review. J Med Internet Res 2019; 21:e14265. [PMID: 31228174 PMCID: PMC6611151 DOI: 10.2196/14265] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 05/10/2019] [Accepted: 05/11/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Maintaining weight after weight loss is a major health challenge, and eHealth (electronic health) solutions may be a way to meet this challenge. Application of behavior change techniques (BCTs) and persuasive system design (PSD) principles in eHealth development may contribute to the design of technologies that positively influence behavior and motivation to support the sustainable health behavior change needed. OBJECTIVE This review aimed to identify BCTs and PSD principles applied in eHealth interventions to support weight loss and weight loss maintenance, as well as techniques and principles applied to stimulate motivation and adherence for long-term weight loss maintenance. METHODS A systematic literature search was conducted in PsycINFO, Ovid MEDLINE (including PubMed), EMBASE, Scopus, Web of Science, and AMED, from January 1, 2007 to June 30, 2018. Arksey and O'Malley's scoping review methodology was applied. Publications on eHealth interventions were included if focusing on weight loss or weight loss maintenance, in combination with motivation or adherence and behavior change. RESULTS The search identified 317 publications, of which 45 met the inclusion criteria. Of the 45 publications, 11 (24%) focused on weight loss maintenance, and 34 (76%) focused on weight loss. Mobile phones were the most frequently used technology (28/45, 62%). Frequently used wearables were activity trackers (14/45, 31%), as well as other monitoring technologies such as wireless or digital scales (8/45, 18%). All included publications were anchored in behavior change theories. Feedback and monitoring and goals and planning were core behavior change technique clusters applied in the majority of included publications. Social support and associations through prompts and cues to support and maintain new habits were more frequently used in weight loss maintenance than weight loss interventions. In both types of interventions, frequently applied persuasive principles were self-monitoring, goal setting, and feedback. Tailoring, reminders, personalization, and rewards were additional principles frequently applied in weight loss maintenance interventions. Results did not reveal an ideal combination of techniques or principles to stimulate motivation, adherence, and weight loss maintenance. However, the most frequently mentioned individual techniques and principles applied to stimulate motivation were, personalization, simulation, praise, and feedback, whereas associations were frequently mentioned to stimulate adherence. eHealth interventions that found significant effects for weight loss maintenance all applied self-monitoring, feedback, goal setting, and shaping knowledge, combined with a human social support component to support healthy behaviors. CONCLUSIONS To our knowledge, this is the first review examining key BCTs and PSD principles applied in weight loss maintenance interventions compared with those of weight loss interventions. This review identified several techniques and principles applied to stimulate motivation and adherence. Future research should aim to examine which eHealth design combinations can be the most effective in support of long-term behavior change and weight loss maintenance.
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Affiliation(s)
- Rikke Aune Asbjørnsen
- Center for eHealth and Wellbeing Research, Department of Psychology, Health, and Technology, University of Twente, Enschede, Netherlands.,Research and Innovation Department, Vestfold Hospital Trust, Tønsberg, Norway.,Center for Shared Decision Making and Collaborative Care Research, Division of Medicine, Oslo University Hospital, Oslo, Norway
| | - Mirjam Lien Smedsrød
- Norwegian Regional Advisory Unit on Patient Education, Sørlandet Hospital Trust, Kristiansand, Norway
| | - Lise Solberg Nes
- Center for Shared Decision Making and Collaborative Care Research, Division of Medicine, Oslo University Hospital, Oslo, Norway.,Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.,Department of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, United States
| | - Jobke Wentzel
- Center for eHealth and Wellbeing Research, Department of Psychology, Health, and Technology, University of Twente, Enschede, Netherlands.,Saxion University of Applied Sciences, Deventer, Netherlands
| | - Cecilie Varsi
- Center for Shared Decision Making and Collaborative Care Research, Division of Medicine, Oslo University Hospital, Oslo, Norway
| | - Jøran Hjelmesæth
- Morbid Obesity Center, Vestfold Hospital Trust, Tønsberg, Norway.,Department of Endocrinology, Morbid Obesity, and Preventive Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Julia Ewc van Gemert-Pijnen
- Center for eHealth and Wellbeing Research, Department of Psychology, Health, and Technology, University of Twente, Enschede, Netherlands.,University Medical Center Groningen, Groningen, Netherlands.,University of Waterloo, Waterloo, ON, Canada
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