Behavior Change Techniques

Wideman, Timothy H.; Sullivan, Michael J.; Inada, Shuji; McIntyre, David; Kumagai, Masayoshi; Yahagi, Naoya; Upton, Jane; Burns, Rachel J.; Rothman, Alexander J.; Michie, Susan; Johnston, Marie; Vedhara, Kavita; Dawe, Karen; Wong, Cara; Gellman, Marc D.; Brimmer, Dana; Zielinski-Gutierrez, Emily; Troxel, Wendy; Drerup, Michelle; Nakashima, Misuzu; Barrett, Chad; Gafni, Amiram; Birch, Stephen; Riley, Kristen; Gebel, Klaus; Hooker, Stephanie Ann; Hidalgo, Benjamin; Meneghini, Luigi; Turner, J. Rick; Borsari, Brian; Hustad, John; Sherry, Simon; Fitzpatrick, Skye; Benedict, Catherine; Hashizume, Masahiro; Shetty, Vivek; Miles, Eleanor; France, Christopher; France, Janis L.; Carrillo, Adriana; Gomez-Meade, Carley; Hughes, Brian M.; Ginty, Annie T.; Sebastiano, M. Di Katie; Millstein, Rachel; Messiah, Sarah; Spiers, Mary; Gidron, Yori; Haney, Alyssa; Okun, Michele L.; Beaton, Elliott A.; Roy, Éric; Harms, Victoria; Elias, Lorin; Hamann, Heidi; Stanton, Annette L.; Yanez, Betina R.; Masters, Kevin S.; Drobnjak, Suzana; Baumann, Linda C.; Karel, Alyssa; LaCaille, Lara; Ding, Ding; Patiño-Fernández, Anna Maria; Kotlyar, Michael; Vuchetich, John P.; Woltz, Patricia

doi:10.1007/978-1-4419-1005-9_1661

Cited by 9 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Arguably the most progress in this respect has been made in gamification research, but even here, researchers are mainly pointing out a massive agenda of future desiderata (Deterding, 2015; Landers, Auer, Collmus, & Armstrong, 2018). By comparison, health sciences have now engaged in a decade plus of work modelling and identifying behaviour change techniques as the psychological active ingredients in health interventions and are still far from any comprehensive consensus (Michie & Johnston, 2013). Even if a consensus construct (let alone taxonomy) existed, we would still need methods to quickly and reliably identify which kinds of active ingredients a given game held and what subcomponents of said games are involved in each.…”

Section: Discussionmentioning

confidence: 99%

“…What this means for researchers is that isolating and manipulating constituent parts – let alone psychologically “active ingredients” (Michie & Johnston, 2013, p. 469) – of a game is inherently challenging. But without isolating features we risk confounds in our experimental manipulations – third variables that provide a competing explanation for our results.…”

Section: Systemic Complexitymentioning

confidence: 99%

See 1 more Smart Citation

Validity Threats in Quantitative Data Collection With Games: A Narrative Survey

Gundry

Deterding

2018

Simulation & Gaming

View full text Add to dashboard Cite

Background. Games are increasingly used to collect scientific data. Some suggest that game features like high cognitive load may limit the inferences we can draw from such data, yet no systematic overview exists of potential validity threats of game-based methods. Aim. We present a narrative survey of documented and potential threats to validity in using games for quantitative data collection. Method. We combined an unsystematic bottom-up literature review with a systematic top-down application of standard validity threat typologies to games to arrive at a systematisation of game-characteristic validity threats. Results. We identify three game characteristics that potentially impact validity: Games are complex systems, impeding the predictable control and isolation of treatments. They are rich in unwanted variance and diversity. And their social framing can differ from and interact with the framing of research studies or non-game situations they are supposed to represent. The diversity of gamers and their differences to general populations bring further complications. Discussion and Conclusions. The wealth of potential validity threats in game-based research is met by a dearth of systematic methodological studies, leading us to outline several future research directions.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Systemic Complexitymentioning

confidence: 99%

Validity Threats in Quantitative Data Collection With Games: A Narrative Survey

Gundry

Deterding

2018

Simulation & Gaming

View full text Add to dashboard Cite

show abstract

“…Our behavior is key for preventing, maintaining, managing and treating health conditions and disabilities [25]. Certain behaviors that increase the risk of developing or aggravating chronic, acute and infectious diseases could be modified through behavior change techniques [26], and/or gamification, defined as "the use of game design elements in non-game context" [27,28]. PHI research shows that the integration of specific behavior change techniques or gamification strategies in digital solutions are effective to change behaviors that lead to a better individual health and wellbeing [23].…”

Section: Odh Perspective: Individual Health and Wellbeingmentioning

confidence: 99%

How Participatory Health Informatics Catalyzes One Digital Health

Denecke,

Romero,

Merolli

et al. 2023

Yearb Med Inform

View full text Add to dashboard Cite

Objective: To identify links between Participatory Health Informatics (PHI) and the One Digital Health framework (ODH) and to show how PHI could be used as a catalyst or contributor to ODH. Methods: We have analyzed the addressed topics within the ODH framework in previous IMIA Yearbook contributions from our working group during the last 10 years. We have matched main themes with the ODH's framework three perspectives (individual health and wellbeing, population and society, and ecosystem). Results: PHI catalysts ODH individual health and wellbeing perspective by providing a more comprehensive view on human health, attitudes, and relations between human health and animal health. Integration of specific behavior change techniques or gamification strategies in digital solutions are effective to change behaviors which address the P5 paradigm. PHI supports the population and society perspective through the engagement of the various stakeholders in healthcare. At the same time, PHI might increase a risk for health inequities due to technologies inaccessible to all equally and challenges associated with this. PHI is a catalyst for the ecosystem perspective by contributing data into the digital health data ecosystem allowing for analysis of interrelations between the various data which in turn might provide links among all components of the healthcare ecosystem. Conclusion: Our results suggest that PHI can and will involve topics relating to ODH. As the ODH concept crystalizes and becomes increasingly influential, its themes will permeate and become embedded in PHI even more. We look forward to these developments and co-evolution of the two frameworks.

show abstract

“…Many studies have examined the results for integrating oral health promotion of children in existing primary care or health care delivery systems, however, in order to understand how interventions work to produce behaviour change, it is important to identify effective interventions and their components. The behaviour change techniques (BCTs) are identified as those active components of interventions that are designed to change behaviour [ 24 ]. This could help in developing new and more effective interventions [ 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

The effectiveness of behaviour change interventions delivered by non-dental health workers in promoting children’s oral health: A systematic review and meta-analysis

Faisal

Mishu

Jahangir³

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

Objectives Dental caries is the most common preventable childhood condition. Non-dental professionals and health workers are often well placed to support parents in adopting positive oral health behaviours for their children. The aim of this study was to determine the effectiveness of behaviour change interventions and their individual component behaviour change techniques (BCTs), that were delivered by non-dental professionals and health workers. Methods A systematic search of Ovid MEDLINE, PubMed, CINAHL, Cochrane Library, Web of Science, TRoPHI and PROQUEST from inception until March 2021 was conducted. Randomised controlled trials and quasi-experimental studies for improving oral health outcomes in children were included. Quality assessment was carried out using Cochrane Risk of Bias tool and ROBINS-I tool. Publication bias was assessed using funnel plots and Egger’s regression intercept. Effect sizes were estimated as standardised mean difference (SMD) and odds ratio/risk ratio for proportions. Meta-analyses were performed for studies reporting mean decayed, missing, filled surfaces (dmfs) and mean decayed, missing, filled, teeth (dmft) indices. Behaviour change technique coding was performed using behaviour change technique taxonomy v1 (BCTTv1). Results Out of the 9,101 records retrieved, 36 studies were included with 28 showing a significant effect either in clinical and/or behavioural/knowledge outcomes. Most studies (n = 21) were of poor methodological quality. The pooled SMD for caries experience showed statistically significant result for caries prevention at surface level -0.15 (95% CI -0.25, -0.04) and at the tooth level -0.24 (95% CI -0.42, -0.07). In 28 effective interventions, 27 individual BCTs were identified and the most frequently used were: “Instructions on how to perform the behaviour” and “Information about health consequences”. Conclusion There is low quality of evidence suggesting non-dental professionals and health workers may help improve oral health outcomes for children. To confirm these findings, further high-quality studies incorporating a variety of BCTs in their interventions for adoption of good oral health behaviours are needed.

show abstract

Behavior Change Techniques

Cited by 9 publications

References 0 publications

Validity Threats in Quantitative Data Collection With Games: A Narrative Survey

Validity Threats in Quantitative Data Collection With Games: A Narrative Survey

How Participatory Health Informatics Catalyzes One Digital Health

The effectiveness of behaviour change interventions delivered by non-dental health workers in promoting children’s oral health: A systematic review and meta-analysis

Contact Info

Product

Resources

About